plotLinegraph.py

# -*- coding: utf-8 -*-
"""
Created on Wed Feb 04 18:17:43 2015
plot linegraph
@author: zimu
"""

import matplotlib.pyplot as plt
import numpy as np
import mpl_toolkits.axisartist as AA
from mpl_toolkits.axes_grid1 import host_subplot  
from matplotlib import ticker
from matplotlib.ticker import MultipleLocator, FormatStrFormatter

def AutoLocatorInit(self):
    ticker.MaxNLocator.__init__(self, nbins=5, steps=[1, 2, 5, 10])
ticker.AutoLocator.__init__ = AutoLocatorInit

graph = 35.1
#,markeredgewidth=mewidth
xfontsize = 60
yfontsize = 60
xlabelsize = 70
ylabelsize = 70
legendsize = 60

xfontsize = 40
yfontsize = 40
xlabelsize = 50
ylabelsize = 50
legendsize = 50

lwidth = 3
osize = 45
starsize = 55
psize = 55
trisize = 45
mewidth = 3
gridwidth = 2

if graph == 1:
    a = 1
elif graph == 7:#Scatter Diagram Similar days have similar offsets
    dista = [549.1383861124782, 470.30221907260636, 556.82811518580593, 578.9291477985746, 539.01012386628975, 595.97662293494932, 647.8255002053786, 636.32567958262268, 600.31789256245236, 579.97152905465293, 520.91936586275608, 532.36741830472499, 509.61731809221141, 543.13228598599835, 482.38628848698198, 418.39625345689558, 490.97428133581451, 508.03760843794726, 496.45152090973647, 550.67117148527382, 490.969608703772, 408.46366001647885, 419.83870628634878, 426.34936776364424, 396.19065970712137, 451.33479183242116, 223.02728670562266, 385.85006070116981, 397.06754957751281, 448.55421483461578, 462.29698740458781, 461.65964804620609, 481.42304136190569, 368.49902460809562, 437.69274668346816, 375.92875160187901, 41.613473658290985, 58.289382506822832, 182.94264075860571, 118.31341201586983, 120.62238400952666, 84.659285866683987, 161.86180739445524, 130.12447448405342, 115.70972031913641, 60.724906993632644, 105.34206431527599, 101.55938882187908, 68.716822512797776, 69.24719200048699, 80.058830378061486, 4.5640942735051766, 106.92630296640513, 109.54430308665764, 78.55269170562525, 38.750174579457173, 30.001672680671845, 46.230920268760855, 81.064589835957861, 85.165089884293437, 0.0, 631.27496297344453, 1609.1142572584074, 11.036498816615996, 51.586450886360765, 57.712467645085653, 151.04781757850694, 443.09350985736074, 1435.8168508147692, 170.54933410067417, 191.70364262228648, 248.71606102662884, 203.85790664008442, 209.73495291015837, 471.13230473683706, 1424.0666844036255, 220.91163957979506, 249.70258341548211, 285.31735762697747, 293.80775908119631, 276.90703765524898, 404.32982050090624, 1418.0886927119773, 240.94260113873943, 295.49657280455352, 292.02956456596411, 299.3713560242835, 236.83245816227003, 313.47600182113263]
    offset = [0.26666666666666572, 0.13333333333333286, 0.13333333333333286, 0.43333333333333357, 0.19999999999999929, 0.0, 0.0, 0.0, 0.0, 0.0, 0.10000000000000142, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00027777777777515666, 0.0, 0.19999999999999929, 0.0, 0.30000000000000071, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.81666666666666643, 0.81666666666666643, 1.5166666666666657, 0.0, 0.0, 0.0, 0.30000000000000071, 0.10000000000000142, 0.10000000000000142, 0.5, 0.0, 0.0, 0.30000000000000071, 0.39999999999999858, 0.19999999999999929, 0.39999999999999858, 0.0, 0.30000000000000071, 0.30000000000000071, 1.1999999999999993, 0.39999999999999858, 0.19999999999999929, 0.0, 0.29972222222222555, 0.10000000000000142, 0.5, 0.10000000000000142, 0.10000000000000142, 0.0, 1.6000000000000014, 0.10000000000000142, 0.0, 1.6999999999999993, 0.10000000000000142, 0.0, 1.5, 0.5, 0.19999999999999929, 0.10000000000000142, 0.60000000000000142, 0.0, 0.0, 2.0, 1.0, 0.19999999999999929, 2.0, 0.80000000000000071, 0.0, 0.0, 2.0, 0.10000000000000142, 0.10000000000000142, 0.19999999999999929, 1.8999999999999986, 0.19999999999999929, 0.00027777777777515666]    
    #plt.xlim(0,43)
    dmax = max(dista)
    dmin = min(dista)
    omax = max(offset)
    omin = min(offset)
    dista = np.array(dista)
    dista = 1 - (dmax - dista) / (dmax - dmin)
    offset = np.array(offset)
    offset = 1 - (omax - offset) / (omax - omin)
    
    plt.figure()
    plt.plot(dista,offset, 'o',markersize=40,markerfacecolor='y',markeredgecolor='k')
    plt.xlabel("Similarity of Days",size=xlabelsize)
    plt.ylabel("Similarity of Offsets",size=ylabelsize)
    plt.grid(True, linewidth = gridwidth)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    plt.show()
elif graph == 11:#TPO-P vs TP-P 150-240 #train 3 month, predict 1 month
#TPO-P v.s. TP-P: MSE as a function of time, 16:00-24:00.
    time1 =[ 15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1, 18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9, 21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8,   23.9 ,  24.0]
    traf1 = [ 3.96618645819 ,  4.04497622846 ,  3.39075473611 ,  4.7234606614 ,  4.164909464 ,  3.74929904373 ,  3.90519374081 ,  4.01099285863 ,  4.64369992486 ,  4.57965918692 ,  2.82826888741 ,  5.0604905316 ,  3.99257536387 ,  7.18455151752 ,  2.36224254873 ,  4.16547682492 ,  3.34751996066 ,  3.58983560969 ,  2.43789160656 ,  2.54892943846 ,  2.54892943846 ,  4.86102740209 ,  4.39002674918 ,  3.4733625116 ,  1.65661314039 ,  4.30196947144 ,  1.85158868053 ,  3.45453815456 ,  8.26514748182 ,  3.39325035825 ,  3.05344100669 ,  4.92566172441 ,  3.90778176245 ,  2.98940013899 ,  7.03302763038 ,  4.51793391538 ,  5.11233797865 ,  3.58112845539 ,  5.31103060742 ,  5.36028896036 ,  4.68315982201 ,  4.68057920356 ,  10.2563604348 ,  7.45090549345 ,  3.48067021098 ,  4.95830331286 ,  6.78096463283 ,  5.14312042025 ,  2.79491732187 ,  3.85133045544 ,  4.39286091368 ,  4.15029338914 ,  2.69199038573 ,  2.6877504365 ,  6.18964671317 ,  3.92690164743 ,  1.4216195593 ,  2.32972493884 ,  2.68810883884 ,  3.07620211093 ,  8.10307709548 ,  6.24938041557 ,  4.41333952399 ,  5.74221501923 ,  4.89501154313 ,  7.2711287331 ,  9.07431829147 ,  4.32086457158 ,  8.21095270683 ,  2.74730418402 ,  3.6636698868 ,  4.57328849058 ,  5.80687995343 ,  6.95878485269 ,  7.72893462061 ,  7.02814142419 ,  5.05219816438 ,  5.44598003157 ,  6.13105945609 ,  4.38539146046 ,  6.26051298642 ,  7.82124811496 ,  6.47002032166 ,  10.1974933772 ,  3.6415823182 ,  8.26392144517 ,  4.41229726097 ,  3.56887666101 ,  6.36807457898 ,  6.53689879115 ,  6.50894555372 ]
    occ1 = [ 3.33126992611 ,  2.15235043881 ,  4.21215375236 ,  2.04146402499 ,  2.26508236112 ,  1.75842743987 ,  3.83752010319 ,  1.79356812562 ,  2.71647871756 ,  2.98920028076 ,  3.06963761795 ,  3.78037524154 ,  2.11330949347 ,  3.62306600989 ,  2.10132375418 ,  2.79890211351 ,  2.45220911956 ,  2.0962944359 ,  1.71888897623 ,  2.00237892092 ,  2.00237892092 ,  1.75017286044 ,  1.87819485903 ,  2.77200592938 ,  0.927552735382 ,  2.16110258543 ,  0.952612535679 ,  1.55876494568 ,  2.43936505277 ,  2.74032154014 ,  2.20187230613 ,  2.62732676781, 1.81709347884 ,  2.68646819361 ,  4.87840695719 ,  3.58804992604 ,  1.96027598281 ,  2.16400733578 ,  4.55698744552 ,  2.61612107743 ,  4.1007299461 ,  2.60197595024 ,  2.42772928849 ,  3.70504358394 ,  2.64089183244 ,  2.53083484208 ,  2.69596558723 ,  3.82189848477 ,  2.10858933652 ,  2.69381421149 ,  4.48942308279 ,  3.48776778082 ,  1.75831208948 ,  1.48030854681 ,  3.2901866737 ,  2.33799936521 ,  1.50491990853 ,  1.23953538087 ,  1.19008302381 ,  2.36576100342, 2.57888534853 ,  2.052794471 ,  2.64644323686 ,  1.35534774334 ,  5.6573022579 ,  4.76819909982 ,  1.85043233584 ,  3.46190356262 ,  5.28356384041 ,  1.84882416982 ,  3.01211103176 ,  4.59728665448 ,  8.01181670627 ,  6.44190774176 ,  7.57429158629 ,  5.66900034971 ,  4.30244931982 ,  6.23339404063 ,  6.88638460847 ,  4.63713969717 ,  5.75838213042 ,  3.38303474858 ,  4.29114582128 ,  2.74825804228 ,  2.33363923855 ,  2.26640425042 ,  4.06245325649 ,  3.02492973852 ,  4.13263598916, 4.06968874886 ,  3.87911988994]     
    time = []
    traf= []
    occ = []
    for time10 in range(160,240,10):
        time01 = time10 / 10.0
        for i in range(len(time1)):
            if time1[i] == time01:
                if time1[i] == 21:
                    print traf1[i], occ1[i], traf1[i]/occ1[i]
                time.append(time1[i])
                traf.append(traf1[i])
                occ.append(occ1[i])
                break
    time.append(time1[-1])
    traf.append(traf1[-1])
    occ.append(occ1[-1])
    print 'MEAN -occ: ',np.mean(occ)
    print 'MEAN - traf:', np.mean(traf)
    xlim(16,24)
    ylim(0,10)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    errorDis1.set_xlabel('Time',size=xlabelsize)
    errorDis1.set_ylabel('MSE',size=ylabelsize)
    errorDis1.plot(time,occ,'ob-',label='TPO-P', linewidth=lwidth, markersize=osize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)
    errorDis1.plot(time,traf,'*r--',label='TP-P', linewidth = lwidth, markersize=starsize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)    
    #errorDis1.legend(bbox_to_anchor=(0.30, 1), prop={'size':legendsize}) 
    errorDis1.legend(bbox_to_anchor=(0.4, 1), prop={'size':legendsize}) 
    plt.grid(True, linewidth = gridwidth)
    plt.show()

elif graph == 12:#TPO-P vs TP-P 200-220
    time1 =[ 15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1, 18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9, 21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8,   23.9 ,  24.0]
    #traf2 = [5.648282572 ,  5.15543392949 ,  5.23828111858 ,  3.99522995564 ,  6.40135656351 ,  3.33011698012 ,  3.42595792088 ,  0.887920546277 ,  4.9063025046 ,  6.3892931963 ,  4.77314847668 ,  3.43746839542 ,  5.67484375709 ,  5.3297812159 ,  4.30606192381 ,  4.88982691265 ,  2.7806659404 ,  2.42147134238 ,  1.56921401765 ,  2.26569041117 ,  2.05704237866 ,  3.68825624997 ,  2.62980613877 ,  2.08601428096 ,  2.15463120912 ,  2.12097583292 ,  4.0181020104 ,  4.76136547779 ,  1.51607823457 ,  1.75588636357 ,  3.67988553676 ,  4.16254546425 ,  3.89581340977 ,  3.16968429168 ,  4.3081855229 ,  2.12780904865 ,  1.02279538146 ,  2.07169198145 ,  3.7928610568 ,  5.00395450386 ,  4.65880327762 ,  5.13929330473 ,  3.66703817684 ,  5.6542576756 ,  6.3448215367 ,  1.10267510654 ,  1.75606711166 ,  1.90362678901 ,  2.37726986022 ,  4.40801447609 ,  10.7108819679 ,  19.1123797487 ,  21.9144168831 ,  11.4729174715 ,  26.1441100047 ,  14.1112663432 ,  12.2157467347 ,  9.47224430272 ,  7.76382406644 ,  3.72067391465 ,  6.27401352228 ,  11.9575959907 ,  27.0941596366 ,  1.4149245575 ,  1.08184704264 ,  0.775724340466 ,  0.763910275063 ,  0.419415884139 ,  0.428053058844 ,  0.740069330471 ,  2.44294731878, 4.57328849058 ,  5.80687995343 ,  6.95878485269 ,  7.72893462061 ,  7.02814142419 ,  5.05219816438 ,  5.44598003157 ,  6.13105945609 ,  4.38539146046 ,  6.26051298642 ,  7.82124811496 ,  6.47002032166 ,  10.1974933772 ,  3.6415823182 ,  8.26392144517 ,  4.41229726097 ,  3.56887666101 ,  6.36807457898 ,  6.53689879115 ,  6.50894555372]
    traf1 = [ 3.96618645819 ,  4.04497622846 ,  3.39075473611 ,  4.7234606614 ,  4.164909464 ,  3.74929904373 ,  3.90519374081 ,  4.01099285863 ,  4.64369992486 ,  4.57965918692 ,  2.82826888741 ,  5.0604905316 ,  3.99257536387 ,  7.18455151752 ,  2.36224254873 ,  4.16547682492 ,  3.34751996066 ,  3.58983560969 ,  2.43789160656 ,  2.54892943846 ,  2.54892943846 ,  4.86102740209 ,  4.39002674918 ,  3.4733625116 ,  1.65661314039 ,  4.30196947144 ,  1.85158868053 ,  3.45453815456 ,  8.26514748182 ,  3.39325035825 ,  3.05344100669 ,  4.92566172441 ,  3.90778176245 ,  2.98940013899 ,  7.03302763038 ,  4.51793391538 ,  5.11233797865 ,  3.58112845539 ,  5.31103060742 ,  5.36028896036 ,  4.68315982201 ,  4.68057920356 ,  10.2563604348 ,  7.45090549345 ,  3.48067021098 ,  4.95830331286 ,  6.78096463283 ,  5.14312042025 ,  2.79491732187 ,  3.85133045544 ,  4.39286091368 ,  4.15029338914 ,  2.69199038573 ,  2.6877504365 ,  6.18964671317 ,  3.92690164743 ,  1.4216195593 ,  2.32972493884 ,  2.68810883884 ,  3.07620211093 ,  8.10307709548 ,  6.24938041557 ,  4.41333952399 ,  5.74221501923 ,  4.89501154313 ,  7.2711287331 ,  9.07431829147 ,  4.32086457158 ,  8.21095270683 ,  2.74730418402 ,  3.6636698868 ,  4.57328849058 ,  5.80687995343 ,  6.95878485269 ,  7.72893462061 ,  7.02814142419 ,  5.05219816438 ,  5.44598003157 ,  6.13105945609 ,  4.38539146046 ,  6.26051298642 ,  7.82124811496 ,  6.47002032166 ,  10.1974933772 ,  3.6415823182 ,  8.26392144517 ,  4.41229726097 ,  3.56887666101 ,  6.36807457898 ,  6.53689879115 ,  6.50894555372 ]
    #occ2 = [ 3.43376451284 ,  2.13581708141 ,  4.13807611836 ,  2.0743030885 ,  2.27616236115 ,  1.8607885637 ,  3.83699568065 ,  1.79999159126 ,  2.78347123675 ,  2.97150955692 ,  3.22515920191 ,  3.77469326189 ,  2.10891340907 ,  3.56228204836 ,  2.11759849524 ,  2.86155397168 ,  2.44420294786 ,  2.08136370027 ,  1.78131533164 ,  1.75831115087 ,  1.3581481954 ,  1.750114629 ,  1.85558526873 ,  2.72589476056 ,  0.978178657459 ,  2.20088259943 ,  1.01649730622 ,  1.55876494568 ,  2.46512850977 ,  2.73349348778 ,  2.20530283716 ,  2.60485116759 ,  1.81709347884 ,  2.67734032855 ,  4.88695604165 ,  3.61947500178 ,  2.06317604437 ,  2.24747339295 ,  4.66517200172 ,  2.72909921161 ,  4.07424859228 ,  2.52072001884 ,  2.45789059095 ,  3.45650152966 ,  3.28383640492 ,  2.54359671034 ,  2.56622425956 ,  3.67248937226 ,  2.2656097676 ,  2.9166235183 ,  4.2959598894 ,  3.41415392555 ,  3.10378068753 ,  1.59076738622 ,  3.32978753887 ,  2.10842312598 ,  1.97281508282 ,  1.53253131361 ,  1.0859348115 ,  2.29921994879 ,  2.84173764276 ,  2.95858511647 ,  2.55703502614 ,  1.55138408102 ,  11.8911415216 ,  8.31134465283 ,  5.12287932888 ,  3.34617552468 ,  8.79609117735 ,  1.71426537655 ,  2.92456086528 ,  5.30314993131 ,  8.23194976761 ,  7.19222936391 ,  7.20510601604 ,  5.99792971854 ,  4.32794739852 ,  6.46748675904 ,  6.80954443842 ,  4.91883488077 ,  6.31881648107 ,  3.31512496675 ,  4.79112079617 ,  3.16999156393 ,  3.54661149475 ,  2.75919922857 ,  3.98297779129 ,  3.89795549457 ,  4.02183350182 ,  5.68572844005 ,  8.03894474887 ]
    occ1 = [ 3.33126992611 ,  2.15235043881 ,  4.21215375236 ,  2.04146402499 ,  2.26508236112 ,  1.75842743987 ,  3.83752010319 ,  1.79356812562 ,  2.71647871756 ,  2.98920028076 ,  3.06963761795 ,  3.78037524154 ,  2.11330949347 ,  3.62306600989 ,  2.10132375418 ,  2.79890211351 ,  2.45220911956 ,  2.0962944359 ,  1.71888897623 ,  2.00237892092 ,  2.00237892092 ,  1.75017286044 ,  1.87819485903 ,  2.77200592938 ,  0.927552735382 ,  2.16110258543 ,  0.952612535679 ,  1.55876494568 ,  2.43936505277 ,  2.74032154014 ,  2.20187230613 ,  2.62732676781, 1.81709347884 ,  2.68646819361 ,  4.87840695719 ,  3.58804992604 ,  1.96027598281 ,  2.16400733578 ,  4.55698744552 ,  2.61612107743 ,  4.1007299461 ,  2.60197595024 ,  2.42772928849 ,  3.70504358394 ,  2.64089183244 ,  2.53083484208 ,  2.69596558723 ,  3.82189848477 ,  2.10858933652 ,  2.69381421149 ,  4.48942308279 ,  3.48776778082 ,  1.75831208948 ,  1.48030854681 ,  3.2901866737 ,  2.33799936521 ,  1.50491990853 ,  1.23953538087 ,  1.19008302381 ,  2.36576100342, 2.57888534853 ,  2.052794471 ,  2.64644323686 ,  1.35534774334 ,  5.6573022579 ,  4.76819909982 ,  1.85043233584 ,  3.46190356262 ,  5.28356384041 ,  1.84882416982 ,  3.01211103176 ,  4.59728665448 ,  8.01181670627 ,  6.44190774176 ,  7.57429158629 ,  5.66900034971 ,  4.30244931982 ,  6.23339404063 ,  6.88638460847 ,  4.63713969717 ,  5.75838213042 ,  3.38303474858 ,  4.29114582128 ,  2.74825804228 ,  2.33363923855 ,  2.26640425042 ,  4.06245325649 ,  3.02492973852 ,  4.13263598916, 4.06968874886 ,  3.87911988994]
     
    time = []
    traf= []
    occ = []
    for time10 in range(160,240,1):
        time01 = time10 / 10.0
        
        for i in range(len(time1)):
            if time1[i] == time01:
                if time1[i] == 21:
                    print (traf1[i]-occ1[i])/traf1[i]
                time.append(time1[i])
                traf.append(traf1[i])
                occ.append(occ1[i])
                break
        
    time.append(time1[-1])
    traf.append(traf1[-1])
    occ.append(occ1[-1])
    print 'MEAN -occ: ',np.mean(occ)
    print 'MEAN - traf:', np.mean(traf)
    
    xlim(20,22)
    #xlim(16,24)
    ylim(0,10)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    errorDis1.set_xlabel('Time',size=xlabelsize)
    errorDis1.set_ylabel('MSE',size=ylabelsize)
    errorDis1.plot(time,occ,'ob-',label='TPO-P', linewidth=lwidth, markersize=osize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)
    errorDis1.plot(time,traf,'*r--',label='TP-P', linewidth = lwidth, markersize=starsize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)    
    errorDis1.legend(bbox_to_anchor=(0.4, 1.02), prop={'size':legendsize}) 
    plt.grid(True, linewidth = gridwidth)
    plt.show()

elif graph == 13:#weight of O vs T: 150-240
#Weight of Occupancy v.s. Traffic, 20:00-22:00.
    time1 =[ 15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1, 18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9, 21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8,   23.9 ,  24.0]
    #traf2 = [5.648282572 ,  5.15543392949 ,  5.23828111858 ,  3.99522995564 ,  6.40135656351 ,  3.33011698012 ,  3.42595792088 ,  0.887920546277 ,  4.9063025046 ,  6.3892931963 ,  4.77314847668 ,  3.43746839542 ,  5.67484375709 ,  5.3297812159 ,  4.30606192381 ,  4.88982691265 ,  2.7806659404 ,  2.42147134238 ,  1.56921401765 ,  2.26569041117 ,  2.05704237866 ,  3.68825624997 ,  2.62980613877 ,  2.08601428096 ,  2.15463120912 ,  2.12097583292 ,  4.0181020104 ,  4.76136547779 ,  1.51607823457 ,  1.75588636357 ,  3.67988553676 ,  4.16254546425 ,  3.89581340977 ,  3.16968429168 ,  4.3081855229 ,  2.12780904865 ,  1.02279538146 ,  2.07169198145 ,  3.7928610568 ,  5.00395450386 ,  4.65880327762 ,  5.13929330473 ,  3.66703817684 ,  5.6542576756 ,  6.3448215367 ,  1.10267510654 ,  1.75606711166 ,  1.90362678901 ,  2.37726986022 ,  4.40801447609 ,  10.7108819679 ,  19.1123797487 ,  21.9144168831 ,  11.4729174715 ,  26.1441100047 ,  14.1112663432 ,  12.2157467347 ,  9.47224430272 ,  7.76382406644 ,  3.72067391465 ,  6.27401352228 ,  11.9575959907 ,  27.0941596366 ,  1.4149245575 ,  1.08184704264 ,  0.775724340466 ,  0.763910275063 ,  0.419415884139 ,  0.428053058844 ,  0.740069330471 ,  2.44294731878, 4.57328849058 ,  5.80687995343 ,  6.95878485269 ,  7.72893462061 ,  7.02814142419 ,  5.05219816438 ,  5.44598003157 ,  6.13105945609 ,  4.38539146046 ,  6.26051298642 ,  7.82124811496 ,  6.47002032166 ,  10.1974933772 ,  3.6415823182 ,  8.26392144517 ,  4.41229726097 ,  3.56887666101 ,  6.36807457898 ,  6.53689879115 ,  6.50894555372]
    #traf1 = [ 3.96618645819 ,  4.04497622846 ,  3.39075473611 ,  4.7234606614 ,  4.164909464 ,  3.74929904373 ,  3.90519374081 ,  4.01099285863 ,  4.64369992486 ,  4.57965918692 ,  2.82826888741 ,  5.0604905316 ,  3.99257536387 ,  7.18455151752 ,  2.36224254873 ,  4.16547682492 ,  3.34751996066 ,  3.58983560969 ,  2.43789160656 ,  2.54892943846 ,  2.54892943846 ,  4.86102740209 ,  4.39002674918 ,  3.4733625116 ,  1.65661314039 ,  4.30196947144 ,  1.85158868053 ,  3.45453815456 ,  8.26514748182 ,  3.39325035825 ,  3.05344100669 ,  4.92566172441 ,  3.90778176245 ,  2.98940013899 ,  7.03302763038 ,  4.51793391538 ,  5.11233797865 ,  3.58112845539 ,  5.31103060742 ,  5.36028896036 ,  4.68315982201 ,  4.68057920356 ,  10.2563604348 ,  7.45090549345 ,  3.48067021098 ,  4.95830331286 ,  6.78096463283 ,  5.14312042025 ,  2.79491732187 ,  3.85133045544 ,  4.39286091368 ,  4.15029338914 ,  2.69199038573 ,  2.6877504365 ,  6.18964671317 ,  3.92690164743 ,  1.4216195593 ,  2.32972493884 ,  2.68810883884 ,  3.07620211093 ,  8.10307709548 ,  6.24938041557 ,  4.41333952399 ,  5.74221501923 ,  4.89501154313 ,  7.2711287331 ,  9.07431829147 ,  4.32086457158 ,  8.21095270683 ,  2.74730418402 ,  3.6636698868 ,  4.57328849058 ,  5.80687995343 ,  6.95878485269 ,  7.72893462061 ,  7.02814142419 ,  5.05219816438 ,  5.44598003157 ,  6.13105945609 ,  4.38539146046 ,  6.26051298642 ,  7.82124811496 ,  6.47002032166 ,  10.1974933772 ,  3.6415823182 ,  8.26392144517 ,  4.41229726097 ,  3.56887666101 ,  6.36807457898 ,  6.53689879115 ,  6.50894555372 ]
    #occ2 = [ 3.43376451284 ,  2.13581708141 ,  4.13807611836 ,  2.0743030885 ,  2.27616236115 ,  1.8607885637 ,  3.83699568065 ,  1.79999159126 ,  2.78347123675 ,  2.97150955692 ,  3.22515920191 ,  3.77469326189 ,  2.10891340907 ,  3.56228204836 ,  2.11759849524 ,  2.86155397168 ,  2.44420294786 ,  2.08136370027 ,  1.78131533164 ,  1.75831115087 ,  1.3581481954 ,  1.750114629 ,  1.85558526873 ,  2.72589476056 ,  0.978178657459 ,  2.20088259943 ,  1.01649730622 ,  1.55876494568 ,  2.46512850977 ,  2.73349348778 ,  2.20530283716 ,  2.60485116759 ,  1.81709347884 ,  2.67734032855 ,  4.88695604165 ,  3.61947500178 ,  2.06317604437 ,  2.24747339295 ,  4.66517200172 ,  2.72909921161 ,  4.07424859228 ,  2.52072001884 ,  2.45789059095 ,  3.45650152966 ,  3.28383640492 ,  2.54359671034 ,  2.56622425956 ,  3.67248937226 ,  2.2656097676 ,  2.9166235183 ,  4.2959598894 ,  3.41415392555 ,  3.10378068753 ,  1.59076738622 ,  3.32978753887 ,  2.10842312598 ,  1.97281508282 ,  1.53253131361 ,  1.0859348115 ,  2.29921994879 ,  2.84173764276 ,  2.95858511647 ,  2.55703502614 ,  1.55138408102 ,  11.8911415216 ,  8.31134465283 ,  5.12287932888 ,  3.34617552468 ,  8.79609117735 ,  1.71426537655 ,  2.92456086528 ,  5.30314993131 ,  8.23194976761 ,  7.19222936391 ,  7.20510601604 ,  5.99792971854 ,  4.32794739852 ,  6.46748675904 ,  6.80954443842 ,  4.91883488077 ,  6.31881648107 ,  3.31512496675 ,  4.79112079617 ,  3.16999156393 ,  3.54661149475 ,  2.75919922857 ,  3.98297779129 ,  3.89795549457 ,  4.02183350182 ,  5.68572844005 ,  8.03894474887 ]
    #occ1 = [ 3.33126992611 ,  2.15235043881 ,  4.21215375236 ,  2.04146402499 ,  2.26508236112 ,  1.75842743987 ,  3.83752010319 ,  1.79356812562 ,  2.71647871756 ,  2.98920028076 ,  3.06963761795 ,  3.78037524154 ,  2.11330949347 ,  3.62306600989 ,  2.10132375418 ,  2.79890211351 ,  2.45220911956 ,  2.0962944359 ,  1.71888897623 ,  2.00237892092 ,  2.00237892092 ,  1.75017286044 ,  1.87819485903 ,  2.77200592938 ,  0.927552735382 ,  2.16110258543 ,  0.952612535679 ,  1.55876494568 ,  2.43936505277 ,  2.74032154014 ,  2.20187230613 ,  2.62732676781, 1.81709347884 ,  2.68646819361 ,  4.87840695719 ,  3.58804992604 ,  1.96027598281 ,  2.16400733578 ,  4.55698744552 ,  2.61612107743 ,  4.1007299461 ,  2.60197595024 ,  2.42772928849 ,  3.70504358394 ,  2.64089183244 ,  2.53083484208 ,  2.69596558723 ,  3.82189848477 ,  2.10858933652 ,  2.69381421149 ,  4.48942308279 ,  3.48776778082 ,  1.75831208948 ,  1.48030854681 ,  3.2901866737 ,  2.33799936521 ,  1.50491990853 ,  1.23953538087 ,  1.19008302381 ,  2.36576100342, 2.57888534853 ,  2.052794471 ,  2.64644323686 ,  1.35534774334 ,  5.6573022579 ,  4.76819909982 ,  1.85043233584 ,  3.46190356262 ,  5.28356384041 ,  1.84882416982 ,  3.01211103176 ,  4.59728665448 ,  8.01181670627 ,  6.44190774176 ,  7.57429158629 ,  5.66900034971 ,  4.30244931982 ,  6.23339404063 ,  6.88638460847 ,  4.63713969717 ,  5.75838213042 ,  3.38303474858 ,  4.29114582128 ,  2.74825804228 ,  2.33363923855 ,  2.26640425042 ,  4.06245325649 ,  3.02492973852 ,  4.13263598916, 4.06968874886 ,  3.87911988994] 
    #occ1 =  [0.16692424373911482, 0.13704164759839338, 0.31898650830802555, 0.10452958991730418, 0.31734247022119816, 0.32618177540207616, 0.14666069277131949, 0.63816499626480339, 0.20222212595730965, 0.30745867901382179, 0.1081776386963046, 0.1081776386963046, 0.1081776386963046, 0.22744769349924376, 0.064402001317135624, 0.65630934850930966, 0.088356015730331042, 0.11858121691667395, 0.22123896282522026, 0.4172431700232126, 0.1801102608185714, 0.5357994474913671, 0.013358934515704666, 0.013358934515704666, 0.013358934515704666, 0.02928890142675656, 0.19509925496976271, 0.09149841111237525, 0.30475557707556417, 0.020628876229133036, 0.44587333627549025, 0.5169740694897037, 0.086486530428686897, 0.056413050345662519, 0.15005593904338121, 0.15005593904338121, 0.15005593904338121, 0.2178692432394603, 0.34006246238669746, 0.023801051120011213, 0.065710586334031817, 0.26957231375524304, 0.51680640464147753, 0.2108334053111165, 0.025596163398236449, 0.18088277051619972, 0.53369889128197556, 0.53369889128197556, 0.53369889128197556, 0.068350804189212966, 0.20490601178358731, 0.28010519103879217, 0.24792351261265427, 0.19471886019123119, 0.18949320889315055, 0.12231104220748805, 0.59769990043317622, 0.14143533979061235, 0.70597906595178994, 0.70597906595178994, 0.70597906595178994, 0.0612429135423945, 0.43968700066416316, 0.34686503544811798, 0.26026340253064684, 0.13582487867324738, 0.31666970783637693, 0.010776626269295798, 0.22061290038128353, 0.24352653254795392, 0.17772199265846572, 0.17772199265846572, 0.17772199265846572, 0.22171643473378519, 0.15618620512686038, 0.082508952923065398, 1.0318379800925894, 0.41999289642668192, 0.35616611242362006, 0.24795150494878584, 0.71525112321611062, 0.0191633164844968, 0.32286549211754012, 0.32286549211754012, 0.32286549211754012, 0.50552668483042484, 0.44355578395545192, 0.39068423391163876, 0.70745718260287205, 0.24367378831387293, 0.091675917698250925, 0.38021746558744762, 0.82149929593091731, 0.89141246269256569, 0.91078594774446331, 0.91078594774446331, 0.91078594774446331, 0.0045378837697872126, 0.4146017221626761]
    #traf1 =  [0.091365426892161275, 0.18318562132858984, 0.087518622333160337, 0.12991353273424527, 0.12333303264213957, 0.21871026881445504, 0.18199995502555133, 0.035563566181508924, 0.084652500660990601, 0.19527293859223749, 0.16598578432890765, 0.16598578432890765, 0.16598578432890765, 0.054325340968703444, 0.02209769135073289, 0.11873587140492134, 0.27913688833310613, 0.037738010724058982, 0.17872998077893681, 0.072373732452806039, 0.079229610954410765, 0.14300735540188467, 0.021276381330308951, 0.021276381330308951, 0.021276381330308951, 0.045459755357921211, 0.11834935891563431, 0.024950591197589179, 0.088386111085227814, 0.0035392195651209879, 0.11244785448112346, 0.063855721060757847, 0.074380369122522161, 0.038726148066208006, 0.11042747448848253, 0.11042747448848253, 0.11042747448848253, 0.20369622974738993, 0.15899705454493882, 0.12135197520044982, 0.10682149026144266, 0.25017538992979488, 0.3523298206509583, 0.071337499141292171, 0.015037482916069933, 0.01200362486455929, 0.13674523496742264, 0.13674523496742264, 0.13674523496742264, 0.07515299942694656, 0.26589990386792484, 0.06325581429869033, 0.015009364748792085, 0.14290339384241965, 0.065396055410470194, 0.033389564766905355, 0.014160720212584844, 0.048822701406542518, 0.17155508178326612, 0.17155508178326612, 0.17155508178326612, 0.30015628849540937, 0.016503136256720105, 0.072324402174702651, 0.028525210671920959, 0.1073225638875088, 0.17031121831163859, 0.069389657898292628, 0.029996028462573557, 0.14335754128280118, 0.13293325470109379, 0.13293325470109379, 0.13293325470109379, 0.16423584418805334, 0.060898271438304674, 0.15509548982413313, 0.012893958095829211, 0.24755290976025504, 0.19847282166752547, 0.61390048550958332, 0.23848569783394064, 0.059582229860323244, 0.0942077523412648, 0.0942077523412648, 0.0942077523412648, 0.25805369400602562, 0.16222661710713093, 0.13927239694986465, 0.12208355067051971, 0.38488546753105046, 0.0053375344925239744, 0.040468597148380747, 0.12469703225097389, 0.12481702485875984, 0.22712979159540161, 0.22712979159540161, 0.22712979159540161, 0.23363850137362199, 0.11620911544794008] 
    occ1 =  [0.64626759301346248, 0.42795121120569218, 0.7847047534305015, 0.4458633238419431, 0.72012732307385008, 0.59861724696508289, 0.44623746029358324, 0.94721380662209509, 0.70491464630775935, 0.61157617354145921, 0.39457356310566827, 0.39457356310566827, 0.39457356310566827, 0.80720177475008459, 0.7445344524450388, 0.84680136287007735, 0.2404291749673591, 0.75858369252698776, 0.55314035342748247, 0.85218293713552729, 0.69449506389913751, 0.78932539451232664, 0.38570269071884972, 0.38570269071884972, 0.38570269071884972, 0.39183180924744454, 0.62242819501219693, 0.78573804238205847, 0.77518000825931599, 0.8535581952649145, 0.79859647754236451, 0.89006121569583962, 0.53762788162120001, 0.59295276066383029, 0.57606715532782105, 0.57606715532782105, 0.57606715532782105, 0.5168099789952586, 0.68140662756518666, 0.16397213150392423, 0.38086011384479801, 0.51865994182169817, 0.59462071606506695, 0.74718336293484133, 0.62992533823440056, 0.93776842145417216, 0.79603783579639442, 0.79603783579639442, 0.79603783579639442, 0.47629959950076328, 0.43522395316557061, 0.81577461238932047, 0.94291560302609412, 0.57673585750015022, 0.74343346476699279, 0.78555276427151866, 0.97685629743970193, 0.74338692283733754, 0.80450324101226689, 0.80450324101226689, 0.80450324101226689, 0.16946056658970773, 0.96382399591514567, 0.82746606740654827, 0.90122460038993224, 0.55861117535426397, 0.65027127518363359, 0.13442841190901594, 0.88030742319934374, 0.62945608005173703, 0.57208752843877186, 0.57208752843877186, 0.57208752843877186, 0.57446592970807742, 0.7194720119933401, 0.34725340978094243, 0.98765811819806382, 0.62915966594967832, 0.6421585116581271, 0.28769615629351253, 0.74994600966399605, 0.24335746431401045, 0.77412180332135916, 0.77412180332135916, 0.77412180332135916, 0.662047767126691, 0.73220315277800319, 0.73720038803276822, 0.85282995062970024, 0.38767035255303212, 0.94498150130738756, 0.90380333285775338, 0.86821230590634579, 0.87717634019898882, 0.80039840935220252, 0.80039840935220252, 0.80039840935220252, 0.019052618365397105, 0.78107245140087556]
    traf1 =  [0.35373240698653746, 0.57204878879430787, 0.21529524656949856, 0.55413667615805684, 0.27987267692614992, 0.40138275303491699, 0.55376253970641676, 0.052786193377904911, 0.29508535369224065, 0.3884238264585409, 0.60542643689433184, 0.60542643689433184, 0.60542643689433184, 0.19279822524991533, 0.25546554755496115, 0.1531986371299226, 0.75957082503264095, 0.24141630747301232, 0.44685964657251748, 0.14781706286447269, 0.30550493610086238, 0.21067460548767336, 0.61429730928115023, 0.61429730928115023, 0.61429730928115023, 0.60816819075255557, 0.37757180498780307, 0.21426195761794159, 0.22481999174068398, 0.14644180473508545, 0.20140352245763554, 0.10993878430416038, 0.46237211837879999, 0.40704723933616982, 0.42393284467217884, 0.42393284467217884, 0.42393284467217884, 0.48319002100474151, 0.31859337243481328, 0.8360278684960758, 0.61913988615520199, 0.48134005817830167, 0.40537928393493305, 0.25281663706515867, 0.3700746617655995, 0.06223157854582774, 0.20396216420360561, 0.20396216420360561, 0.20396216420360561, 0.52370040049923672, 0.56477604683442939, 0.18422538761067958, 0.057084396973905764, 0.42326414249984967, 0.25656653523300721, 0.21444723572848123, 0.023143702560298032, 0.25661307716266246, 0.19549675898773322, 0.19549675898773322, 0.19549675898773322, 0.83053943341029235, 0.036176004084854274, 0.17253393259345168, 0.098775399610067885, 0.44138882464573609, 0.34972872481636647, 0.86557158809098411, 0.11969257680065622, 0.37054391994826297, 0.42791247156122808, 0.42791247156122808, 0.42791247156122808, 0.42553407029192258, 0.28052798800665996, 0.65274659021905757, 0.012341881801936232, 0.37084033405032174, 0.3578414883418729, 0.71230384370648747, 0.25005399033600395, 0.75664253568598949, 0.22587819667864087, 0.22587819667864087, 0.22587819667864087, 0.337952232873309, 0.26779684722199687, 0.26279961196723195, 0.14717004937029973, 0.61232964744696794, 0.055018498692612508, 0.096196667142246589, 0.13178769409365418, 0.12282365980101108, 0.19960159064779756, 0.19960159064779756, 0.19960159064779756, 0.98094738163460282, 0.21892754859912433]
    #occ1 =  [0.16692424373911482, 0.13704164759839338, 0.31898650830802555, 0.10452958991730418, 0.31734247022119816, 0.32618177540207616, 0.14666069277131949, 0.63816499626480339, 0.20222212595730965, 0.30745867901382179, 0.1081776386963046, 0.1081776386963046, 0.1081776386963046, 0.22744769349924376, 0.064402001317135624, 0.65630934850930966, 0.088356015730331042, 0.11858121691667395, 0.22123896282522026, 0.4172431700232126, 0.1801102608185714, 0.5357994474913671, 0.013358934515704666, 0.013358934515704666, 0.013358934515704666, 0.02928890142675656, 0.19509925496976271, 0.09149841111237525, 0.30475557707556417, 0.020628876229133036, 0.44587333627549025, 0.5169740694897037, 0.086486530428686897, 0.056413050345662519, 0.15005593904338121, 0.15005593904338121, 0.15005593904338121, 0.2178692432394603, 0.34006246238669746, 0.023801051120011213, 0.065710586334031817, 0.26957231375524304, 0.51680640464147753, 0.2108334053111165, 0.025596163398236449, 0.18088277051619972, 0.53369889128197556, 0.53369889128197556, 0.53369889128197556, 0.068350804189212966, 0.20490601178358731, 0.28010519103879217, 0.24792351261265427, 0.19471886019123119, 0.18949320889315055, 0.12231104220748805, 0.59769990043317622, 0.14143533979061235, 0.70597906595178994, 0.70597906595178994, 0.70597906595178994, 0.0612429135423945, 0.43968700066416316, 0.34686503544811798, 0.26026340253064684, 0.13582487867324738, 0.31666970783637693, 0.010776626269295798, 0.22061290038128353, 0.24352653254795392, 0.17772199265846572, 0.17772199265846572, 0.17772199265846572, 0.22171643473378519, 0.15618620512686038, 0.082508952923065398, 1.0318379800925894, 0.41999289642668192, 0.35616611242362006, 0.24795150494878584, 0.71525112321611062, 0.0191633164844968, 0.32286549211754012, 0.32286549211754012, 0.32286549211754012, 0.50552668483042484, 0.44355578395545192, 0.39068423391163876, 0.70745718260287205, 0.24367378831387293, 0.091675917698250925, 0.38021746558744762, 0.82149929593091731, 0.89141246269256569, 0.91078594774446331, 0.91078594774446331, 0.91078594774446331, 0.0045378837697872126, 0.4146017221626761]
    #traf1 =  [0.83307575626088515, 0.86295835240160668, 0.68101349169197445, 0.89547041008269579, 0.68265752977880179, 0.67381822459792384, 0.85333930722868057, 0.36183500373519661, 0.7977778740426904, 0.69254132098617815, 0.89182236130369541, 0.89182236130369541, 0.89182236130369541, 0.77255230650075624, 0.93559799868286442, 0.34369065149069034, 0.91164398426966897, 0.881418783083326, 0.77876103717477974, 0.58275682997678735, 0.8198897391814286, 0.4642005525086329, 0.98664106548429531, 0.98664106548429531, 0.98664106548429531, 0.97071109857324345, 0.80490074503023723, 0.90850158888762478, 0.69524442292443589, 0.97937112377086699, 0.55412666372450969, 0.4830259305102963, 0.91351346957131307, 0.94358694965433743, 0.84994406095661879, 0.84994406095661879, 0.84994406095661879, 0.78213075676053967, 0.65993753761330254, 0.97619894887998881, 0.93428941366596818, 0.73042768624475696, 0.48319359535852247, 0.7891665946888835, 0.97440383660176355, 0.81911722948380028, 0.46630110871802444, 0.46630110871802444, 0.46630110871802444, 0.93164919581078709, 0.79509398821641275, 0.71989480896120783, 0.75207648738734578, 0.80528113980876881, 0.81050679110684942, 0.87768895779251199, 0.40230009956682378, 0.85856466020938771, 0.29402093404821006, 0.29402093404821006, 0.29402093404821006, 0.93875708645760547, 0.56031299933583689, 0.65313496455188202, 0.73973659746935316, 0.86417512132675256, 0.68333029216362307, 0.98922337373070424, 0.77938709961871644, 0.75647346745204613, 0.82227800734153433, 0.82227800734153433, 0.82227800734153433, 0.77828356526621478, 0.84381379487313968, 0.91749104707693463, -0.031837980092589424, 0.58000710357331808, 0.64383388757637994, 0.75204849505121418, 0.28474887678388938, 0.98083668351550324, 0.67713450788245988, 0.67713450788245988, 0.67713450788245988, 0.49447331516957516, 0.55644421604454808, 0.60931576608836124, 0.29254281739712795, 0.75632621168612713, 0.9083240823017491, 0.61978253441255238, 0.17850070406908269, 0.10858753730743431, 0.089214052255536691, 0.089214052255536691, 0.089214052255536691, 0.99546211623021275, 0.5853982778373239]
    time = []
    traf= []
    occ = []
    for time10 in range(160,240,1):
        time01 = time10 / 10.0
        for i in range(len(time1)):
            if time1[i] == time01: 
                time.append(time1[i])
                traf.append(traf1[i])
                occ.append(occ1[i])
                break
    time.append(time1[-1])
    traf.append(traf1[-1])
    occ.append(occ1[-1])
    print 'MEAN -occ: ',np.mean(occ)
    print 'MEAN - traf:', np.mean(traf)    
    #fig = plt.figure(figsize=(8,6),dpi=80)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    errorDis1.set_xlabel('Time',size=xlabelsize)
    errorDis1.set_ylabel('Weight',size=ylabelsize)
    errorDis1.plot(time,occ,'ob-',label='Occupancy', linewidth=lwidth, markersize=osize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)
    errorDis1.plot(time,traf,'*r--',label='Traffic', linewidth = lwidth, markersize=starsize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)    
    errorDis1.legend(bbox_to_anchor=(0.5, 0.6), prop={'size':legendsize}) 
    plt.grid(True, linewidth = gridwidth)
    xlim(20, 22)
    ylim(0,1)
    plt.show()
elif graph == 16:#different prediction time - TPO-P vs TP-P
#TPO-P V.S. TP-P: Mean MSE on 20:00 - 22:00, as a function of prediction length.
    time = [0.2, 0.4, 0.6, 0.8, 1, 2]
    occ = [2.81367649395, 2.72324523499, 2.89804996496, 2.90757317685, 2.85996496, 3.11718528831]
    traf = [4.72950579968, 4.76761682691, 5.080508459, 5.08152992209, 5.24693381719, 5.32249324451]
    print 'MEAN - occ: ',np.mean(occ)
    print 'MEAN - traf:', np.mean(traf)
    ylim(0,10)
    xlim(0.2,1)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    errorDis1.set_xlabel('Prediction Length (hour)',size=xlabelsize)
    errorDis1.set_ylabel('Mean MSE',size=yfontsize)
    errorDis1.plot(time,occ,'ob-',label='TPO-P', linewidth=lwidth, markersize=osize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)
    errorDis1.plot(time,traf,'*r--',label='TP-P', linewidth = lwidth, markersize=starsize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)    
    errorDis1.legend(bbox_to_anchor=(0.4, 1), prop={'size':legendsize}) 
    plt.grid(True, linewidth = gridwidth)
    plt.show() 
elif graph == 17:#O versus T - TPO-T TP-T - 1 month training 3 month test
#TPO-T v.s. TP-T: MSE as a function of time, 16:00-24:00.
#    time1 = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    oftt1 = [ 2.24145459457 ,  1.73143800808 ,  0.799179426583 ,  2.01173649785 ,  1.81718487406 ,  1.15549025585 ,  2.81841446511 ,  1.31058908497 ,  1.10303421876 ,  0.645413892646 ,  2.58626674665 ,  3.61801909886 ,  0.952661481413 ,  1.33722863725 ,  2.33427913521 ,  3.25891430085 ,  1.58177500317 ,  3.16742183238 ,  3.40244886268 ,  2.74782217877 ,  2.02421508291 ,  3.43543221065 ,  2.75801727099 ,  3.47512377666 ,  3.21835103328 ,  3.55187074828 ,  2.58031331124 ,  2.29762085226 ,  4.06586361021 ,  1.99885747247 ,  3.50018608759 ,  2.89382577221 ,  2.87643825366 ,  3.82574308484 ,  2.88754786537 ,  3.4611622107 ,  2.38718055664 ,  3.64932069411 ,  3.87850569272 ,  4.4113182732 ,  2.60367705107 ,  4.38603456884 ,  3.76237502142 ,  4.70449294799 ,  4.48489780315 ,  4.00217675235 ,  3.69113872225 ,  2.84381752466 ,  2.64490642981 ,  3.26550030106 ,  3.11284322531 ,  3.5278606601 ,  2.73389921687 ,  3.22909639958 ,  9.68749273327 ,  3.33794329991 ,  1.82267761822 ,  3.84960343354 ,  3.34947114286 ,  1.97525234047 ,  4.80490149444 ,  8.14703674908 ,  2.85123026634 ,  4.55860899603 ,  3.8336676661 ,  6.30110432527 ,  5.03219707113 ,  16.0849484556 ,  2.45380197659 ,  1.51388666902 ,  1.93585020619 ,  1.3686990979 ,  1.79589742566 ,  1.87033918163 ,  2.1347025076 ,  2.2107307156 ,  2.00306285687 ,  1.42081441613 ,  2.25800807735 ,  2.64485987569 ,  1.57499868863 ,  1.46970759794 ,  2.14947144609 ,  1.71494163207 ,  1.42890994211 ,  1.42921051412 ,  2.56822992844 ,  2.57491186436 ,  2.24887120575 ,  2.45006028512 ,  2.29030145929 ,  2.20357005345 ,  2.37107043373 ,  1.79574736231 ,  2.16022404774 ,  1.98744860352 ,  2.76517152188 ,  4.46927922498 ,  2.28449240154 ,  3.50934876462 ,  3.43002757824 ,  3.57237690717 ,  3.74711858238 ,  5.269319282 ,  1.91724186837 ,  2.37274846701 ,  2.74429162252 ,  4.33152677022 ,  5.19693037903 ,  4.14178144568 ,  1.3717559139 ,  5.10188377373 ,  15.3319173641 ,  2.72503824835 ,  4.43168328127 ,  2.77228298597 ,  4.00000047582 ,  2.78321470794 ,  4.4266595246 ,  12.3738675504 ,  2.2362768749 ,  3.53624063741 ,  2.17194051215 ,  1.80232955064 ,  3.11447942993 ,  5.58415288653 ,  14.1053921526 ,  8.57341416642 ,  3.15187293847 ,  2.76141329912 ,  4.07248264248 ,  1.99320484803 ,  2.91473616599 ,  2.20586857277 ,  2.94563619851 ,  5.42395269199 ,  29.078302079 ,  14.0218517407 ,  20.5513224061 ,  8.07341836515 ,  6.53713071169 ,  3.6100915748 ,  2.98813230058 ,  2.04783764553 ,  2.60001717019 ,  1.67795651189 ,  2.92481559366 ,  1.78590828584 ,  0.883847519117 ,  2.09792479628 ,  2.77275673653 ,  6.82743125648 ,  2.05469069428 ,  4.18963363872 ,  5.88560779047 ,  3.49943148138 ,  2.40634975286 ,  3.75794501409 ,  3.99229239053 ,  1.58456767841 ,  3.45776889589 ]
#    ftt1  = [ 3.31262327416 ,  1.84214332676 ,  1.11111111111 ,  2.03014464168 ,  1.93767258383 ,  1.65447074293 ,  9.03852728468 ,  1.27301117686 ,  1.26666666667 ,  9.82712031558 ,  10.434122288 ,  10.373339908 ,  9.46630506246 ,  4.1728139382 ,  5.41262327416 ,  4.27879684418 ,  6.29760026298 ,  9.66288625904 ,  11.6660420776 ,  11.8333333333 ,  10.6944444444 ,  10.0307034845 ,  3.57557527942 ,  11.5675871137 ,  10.4951347798 ,  12.6495069034 ,  8.61134122288 ,  7.35282708744 ,  15.2697238659 ,  11.763477975 ,  11.9313938199 ,  5.16702827087 ,  9.16988823143 ,  13.1682117028 ,  6.59408284024 ,  11.0944444444 ,  10.6555555556 ,  9.95519395135 ,  9.09247205786 ,  6.50575279421 ,  8.11604207758 ,  7.55410913872 ,  11.0204470743 ,  9.8771860618 ,  11.4343523997 ,  12.8762656147 ,  7.9865877712 ,  9.08829717291 ,  8.25016436555 ,  5.91666666667 ,  3.31130834977 ,  9.45788954635 ,  9.45358316897 ,  11.9777120316 ,  10.9437869822 ,  12.5656147272 ,  10.2722222222 ,  12.8760026298 ,  8.95239973702 ,  10.3648915187 ,  5.87370151216 ,  4.64280078895 ,  11.4609138725 ,  12.0109467456 ,  3.86985535832 ,  2.52258382643 ,  12.7899408284 ,  12.5566732413 ,  10.8793228139 ,  8.65 ,  3.78099934254 ,  10.8026298488 ,  7.08011176857 ,  13.9724194609 ,  8.85548980934 ,  10.6792899408 ,  1.92024983563 ,  8.36048652202 ,  10.8907626561 ,  12.25539119 ,  10.9333333333 ,  8.59119000657 ,  3.31245890861 ,  6.69470742932 ,  5.44224194609 ,  8.9033530572 ,  12.6318211703 ,  8.3892504931 ,  12.5443786982 ,  11.1166666667 ,  12.7669296515 ,  5.2476660092 ,  10.1997698882 ,  7.16147271532 ,  14.1570348455 ,  12.6276134122 ,  6.18612754767 ,  8.52889546351 ,  6.97771203156 ,  5.6845496384 ,  9.83563445102 ,  4.45420775805 ,  7.94322813938 ,  11.9659763314 ,  5.65262984878 ,  11.1993754109 ,  5.48007889546 ,  3.85 ,  7.94165023011 ,  5.82501643655 ,  13.3653188692 ,  12.3447074293 ,  8.30325443787 ,  9.31564760026 ,  1.98583168968 ,  5.0335634451 ,  3.27419460881 ,  5.45749506903 ,  9.69375410914 ,  10.5053583169 ,  5.52222222222 ,  8.88484549638 ,  4.34707429323 ,  7.59566074951 ,  11.1198224852 ,  3.9771860618 ,  14.2973701512 ,  5.28652202498 ,  9.70667324129 ,  9.508382643 ,  12.7611111111 ,  8.00660749507 ,  11.3608809993 ,  15.2407955293 ,  4.07712031558 ,  11.8497370151 ,  13.1331032216 ,  11.6076265615 ,  9.47376725838 ,  5.78333333333 ,  5.68783694938 ,  5.93011176857 ,  6.64806048652 ,  5.23185404339 ,  16.66617357 ,  9.43609467456 ,  2.10019723866 ,  2.68957922419 ,  4.42330703485 ,  9.30023011177 ,  10.2113412229 ,  7.99375410914 ,  8.58267587114 ,  10.5413872452 ,  5.42728468113 ,  6.30785667324 ,  8.36650230112 ,  7.07001972387 ,  8.60621301775 ,  4.16111111111 ,  5.93625904011 ]
#       
    time1 = [ 15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
    oftt1 = [ 3.34016987043 ,  2.11315860427 ,  3.18601772454 ,  2.27078098197 ,  1.9420457237 ,  1.78898985201 ,  3.73454058499 ,  1.68480930255 ,  3.0386681039 ,  2.85571865734 ,  3.67601949705 ,  3.79573983327 ,  2.14938619725 ,  3.30385990796 ,  2.52350280827 ,  2.78920221392 ,  2.33322730245 ,  1.98399477751 ,  1.60538259827 ,  1.6598521442 ,  1.32650828772 ,  1.77548607706 ,  1.99973719458 ,  2.6260890102 ,  0.836643695985 ,  3.07519345155 ,  1.07249957761 ,  2.00305118752 ,  2.5596876696 ,  3.60327651365 ,  1.7923848476 ,  2.93387600578 ,  2.10630249637 ,  2.62657712208 ,  4.46121606175 ,  3.67395466752 ,  6.08488199517 ,  2.82596124205 ,  3.91241243228 ,  2.41879102395 ,  5.58772604829 ,  5.46544361042 ,  2.28721049498 ,  2.77276299549 ,  3.76564829102 ,  2.98083742388 ,  2.27925861381 ,  4.62218104164 ,  2.28501948578 ,  3.05490472895 ,  3.46676593792 ,  3.92566641941 ,  2.17956934145 ,  1.37175933222 ,  6.96433390259 ,  2.01892635736 ,  1.26722331867 ,  2.8570576534 ,  1.13259061279 ,  1.95600833705 ,  3.03595447335 ,  2.68137884379 ,  2.422802909 ,  1.68415431027 ,  6.4498319049 ,  3.96220874586 ,  4.69988034974 ,  4.07102932834 ,  10.7651747519 ,  1.81898918617 ,  4.65267675925 ,  6.19047595255 ,  9.03167793854 ,  6.76516119096 ,  9.09661653142 ,  5.77479201038 ,  5.02901085492 ,  7.21128650775 ,  9.02549607313 ,  4.47327569073 ,  6.31552038723 ,  3.84705878877 ,  4.93029548398 ,  7.19598955666 ,  2.89317645075 ,  2.24624292048 ,  19.8300025219 ,  16.3631961495 ,  5.65725732509 ,  7.03276276214 ,  7.74351929772 ]
    ftt1 = [ 11.9777777778 ,  5.30444444444 ,  6.60555555556 ,  5.95777777778 ,  12.5111111111 ,  9.20444444444 ,  7.46666666667 ,  5.53777777778 ,  8.21333333333 ,  6.09333333333 ,  7.58333333333 ,  5.55333333333 ,  8.17 ,  12.5644444444 ,  5.17 ,  12.4677777778 ,  6.09444444444 ,  4.99666666667 ,  6.82777777778 ,  5.94777777778 ,  11.0944444444 ,  10.26 ,  5.23666666667 ,  7.97 ,  1.59666666667 ,  7.39333333333 ,  2.73333333333 ,  4.52222222222 ,  13.65 ,  9.81888888889 ,  5.72222222222 ,  4.58444444444 ,  4.84666666667 ,  6.91111111111 ,  9.93 ,  4.4 ,  13.1433333333 ,  5.34333333333 ,  9.29 ,  8.00111111111 ,  11.3344444444 ,  8.30888888889 ,  13.0066666667 ,  9.40888888889 ,  3.65 ,  9.62 ,  15.25 ,  9.95666666667 ,  6.53333333333 ,  4.36111111111 ,  6.1 ,  5.91666666667 ,  4.94666666667 ,  3.92 ,  13.6955555556 ,  9.13777777778 ,  1.22333333333 ,  2.35555555556 ,  4.62 ,  7.94333333333 ,  9.09333333333 ,  6.67333333333 ,  7.17555555556 ,  8.79777777778 ,  5.32111111111 ,  8.37 ,  9.10444444444 ,  4.39333333333 ,  7.40111111111 ,  3.44 ,  3.62333333333 ,  5.64111111111 ,  6.80555555556 ,  8.66333333333 ,  9.05111111111 ,  10.2 ,  5.94333333333 ,  6.72888888889 ,  6.26888888889 ,  4.31666666667 ,  9.28888888889 ,  9.24 ,  6.27111111111 ,  12.4866666667 ,  3.67666666667 ,  7.58777777778 ,  3.85 ,  4.34666666667 ,  6.28 ,  6.28 ,  6.28 ]
    
    ofpt1 = [ 3.33126992611 ,  2.15235043881 ,  4.21215375236 ,  2.04146402499 ,  2.26508236112 ,  1.75842743987 ,  3.83752010319 ,  1.79356812562 ,  2.71647871756 ,  2.98920028076 ,  3.06963761795 ,  3.78037524154 ,  2.11330949347 ,  3.62306600989 ,  2.10132375418 ,  2.79890211351 ,  2.45220911956 ,  2.0962944359 ,  1.71888897623 ,  2.00237892092 ,  2.00237892092 ,  1.75017286044 ,  1.87819485903 ,  2.77200592938 ,  0.927552735382 ,  2.16110258543 ,  0.952612535679 ,  1.55876494568 ,  2.43936505277 ,  2.74032154014 ,  2.20187230613 ,  2.62732676781, 1.81709347884 ,  2.68646819361 ,  4.87840695719 ,  3.58804992604 ,  1.96027598281 ,  2.16400733578 ,  4.55698744552 ,  2.61612107743 ,  4.1007299461 ,  2.60197595024 ,  2.42772928849 ,  3.70504358394 ,  2.64089183244 ,  2.53083484208 ,  2.69596558723 ,  3.82189848477 ,  2.10858933652 ,  2.69381421149 ,  4.48942308279 ,  3.48776778082 ,  1.75831208948 ,  1.48030854681 ,  3.2901866737 ,  2.33799936521 ,  1.50491990853 ,  1.23953538087 ,  1.19008302381 ,  2.36576100342, 2.57888534853 ,  2.052794471 ,  2.64644323686 ,  1.35534774334 ,  5.6573022579 ,  4.76819909982 ,  1.85043233584 ,  3.46190356262 ,  5.28356384041 ,  1.84882416982 ,  3.01211103176 ,  4.59728665448 ,  8.01181670627 ,  6.44190774176 ,  7.57429158629 ,  5.66900034971 ,  4.30244931982 ,  6.23339404063 ,  6.88638460847 ,  4.63713969717 ,  5.75838213042 ,  3.38303474858 ,  4.29114582128 ,  2.74825804228 ,  2.33363923855 ,  2.26640425042 ,  4.06245325649 ,  3.02492973852 ,  4.13263598916, 4.06968874886 ,  3.87911988994]
    time = []
    oftt= []
    ftt = []
    ofpt = []
    for time10 in range(160,241,10):
        time01 = time10 / 10.0
        for i in range(len(time1)):
            if time1[i] == time01:
                print time1[i], oftt1[i], ftt1[i], ftt1[i]-oftt1[i]
                time.append(time1[i])
                oftt.append(oftt1[i])
                ftt.append(ftt1[i])
                ofpt.append(ofpt1[i])
                break
    oftt = [3.43002757824 ,  1.3717559139 ,  2.2362768749, 4.07248264248 ,  6.53713071169 ,  2.77275673653, 3.45776889589 ,  3.33960558247 ,  2.20642583678]
    ftt = [ 9.83563445102 ,  13.3653188692 ,  5.52222222222 ,  12.7611111111 ,  5.68783694938 ,  10.2113412229 ,  5.93625904011 ,  7.56084812623 ,  4.42580539119 ]
    print 'MEAN - oftt: ',np.mean(oftt)
    print 'MEAN - ftt:', np.mean(ftt)
    #print 'MEAN - ofpt: ', np.mean(ofpt)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    #xlim(17,19)
    xlim(16,24)
    ylim(0,15)
    errorDis1.set_xlabel('Time',size=xlabelsize)
    errorDis1.set_ylabel('MSE',size=ylabelsize)
    errorDis1.plot(time,oftt,'pb-',label='TPO-T', linewidth=lwidth, markersize=psize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)   
    errorDis1.plot(time,ftt,'^r--',label='TP-T', linewidth = lwidth, markersize=trisize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)    
    errorDis1.legend(bbox_to_anchor=(1, 1.05), prop={'size':legendsize}) 
    plt.grid(True, linewidth = gridwidth)
    plt.show()
elif graph == 18:#TP-T div TPO-T
#Top 20\% volatile cases: the Mean Ratio as a function of time.
    time = []   
    time =  [16, 17, 18, 19, 20, 21, 22, 23, 24]
    zero = [0,0,0,0,0,0,0,0,0]
    #25%
    ratio =  [29.449440786210829, 1.966945665150265, -0.90679204545960623, 0.31649577180399935, -0.58513609309913805, 9.6470266986344786, 72.850068868677127, 2.0137292360314354, 0.40817146087171535]
    #ratio = [0.9226968260940509, 2.3299636296757691, 6.1308679657051401, 3.3373095525097929, 1.8801378014210286, 5.0544597175498813, 28.451763144349881, 1.3896783132826964, 1.1369982372732155]
    #print len(ha)
    print 'Ratio', np.mean(ratio)
    #print 'Real', np.mean(ha)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    errorDis1.set_xlabel('Time',size=xlabelsize)
    errorDis1.set_ylabel('Mean Ratio',size=ylabelsize)
    errorDis1.plot(time,zero,'r--', linewidth=lwidth, markersize=6,markerfacecolor='r',markeredgecolor='r')
    errorDis1.plot(time,ratio,'pb-',label='TP-T / TPO-T', linewidth = lwidth, markersize=psize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)    
    ylim(-2,80)
    errorDis1.legend(bbox_to_anchor=(0.5, 1), loc=0, borderaxespad=0.,prop={'size':legendsize}) 
    plt.grid(True, linewidth = gridwidth)
    plt.show()
elif graph == 19:#TPO-T vs TP-P 150-240 #train 1 predict 1 vs train 3 predict 1
#TPO-T v.s. TP-P: MSE as a function of time, 16:00-24:00.
    time1 =[16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0, 18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0, 20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0, 22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0]
    #traf1 = [ 3.96618645819 ,  4.04497622846 ,  3.39075473611 ,  4.7234606614 ,  4.164909464 ,  3.74929904373 ,  3.90519374081 ,  4.01099285863 ,  4.64369992486 ,  4.57965918692 ,  2.82826888741 ,  5.0604905316 ,  3.99257536387 ,  7.18455151752 ,  2.36224254873 ,  4.16547682492 ,  3.34751996066 ,  3.58983560969 ,  2.43789160656 ,  2.54892943846 ,  2.54892943846 ,  4.86102740209 ,  4.39002674918 ,  3.4733625116 ,  1.65661314039 ,  4.30196947144 ,  1.85158868053 ,  3.45453815456 ,  8.26514748182 ,  3.39325035825 ,  3.05344100669 ,  4.92566172441 ,  3.90778176245 ,  2.98940013899 ,  7.03302763038 ,  4.51793391538 ,  5.11233797865 ,  3.58112845539 ,  5.31103060742 ,  5.36028896036 ,  4.68315982201 ,  4.68057920356 ,  10.2563604348 ,  7.45090549345 ,  3.48067021098 ,  4.95830331286 ,  6.78096463283 ,  5.14312042025 ,  2.79491732187 ,  3.85133045544 ,  4.39286091368 ,  4.15029338914 ,  2.69199038573 ,  2.6877504365 ,  6.18964671317 ,  3.92690164743 ,  1.4216195593 ,  2.32972493884 ,  2.68810883884 ,  3.07620211093 ,  8.10307709548 ,  6.24938041557 ,  4.41333952399 ,  5.74221501923 ,  4.89501154313 ,  7.2711287331 ,  9.07431829147 ,  4.32086457158 ,  8.21095270683 ,  2.74730418402 ,  3.6636698868 ,  4.57328849058 ,  5.80687995343 ,  6.95878485269 ,  7.72893462061 ,  7.02814142419 ,  5.05219816438 ,  5.44598003157 ,  6.13105945609 ,  4.38539146046 ,  6.26051298642 ,  7.82124811496 ,  6.47002032166 ,  10.1974933772 ,  3.6415823182 ,  8.26392144517 ,  4.41229726097 ,  3.56887666101 ,  6.36807457898 ,  6.53689879115 ,  6.50894555372 ] 
    occ1 = [4.69668769016 ,  5.22815511796 ,  4.75651864455 ,  7.27951179414 ,  1.83936252642 ,  2.92045248929 ,  3.27799965301 ,  5.89231086353 ,  7.41883633633 ,  5.29257760195 ,  1.29865347968 ,  7.08251471428 ,  16.9714386887 ,  3.68136567864 ,  4.6412439188 ,  3.88903306758 ,  3.54682791884 ,  3.73403607414 ,  6.9666255785 ,  20.3582630944 ,  3.19957891476, 3.80543310502 ,  1.93401424702 ,  3.17057766458 ,  3.96305911318 ,  6.51887629373 ,  20.4186073407 ,  11.4147131854 ,  3.85847773442 ,  3.11570712986 ,  3.50262623757 ,  2.22010631502 ,  2.31444421917 ,  2.59850885854 ,  2.68293911389 ,  6.75030937958 ,  43.7200549223 ,  21.8209065471 ,  29.7734428877 ,  10.3799544067 ,  7.0800434828, 4.84267494922 ,  2.87969582577 ,  1.73273692692 ,  3.36322225073 ,  1.95472294708 ,  2.32214555282 ,  1.50623440831 ,  1.09532940564 ,  1.76316748388 ,  2.68600217437 ,  8.51850047806 ,  3.06249792008 ,  3.8621030668 ,  10.2604727585 ,  5.18644468396 ,  1.89713897743 ,  3.90466259625 ,  5.35529750254 ,  1.55552123283 ,  2.9387445849, 3.87210768706 ,  6.7209386312 ,  7.24779869356 ,  6.87608364896 ,  5.11448242313 ,  4.95290896891 ,  6.55150709768 ,  5.4000674614 ,  4.36536378271 ,  4.45552987643 ,  3.45963586477 ,  4.39443102979 ,  3.25922301023 ,  1.95031262487 ,  2.22012292429 ,  4.23730662071 ,  8.2025886652 ,  10.6547490425 ,  3.34325981498 ,  3.56071448287 ]
    #[ 3.34016987043 ,  2.11315860427 ,  3.18601772454 ,  2.27078098197 ,  1.9420457237 ,  1.78898985201 ,  3.73454058499 ,  1.68480930255 ,  3.0386681039 ,  2.85571865734 ,  3.67601949705 ,  3.79573983327 ,  2.14938619725 ,  3.30385990796 ,  2.52350280827 ,  2.78920221392 ,  2.33322730245 ,  1.98399477751 ,  1.60538259827 ,  1.6598521442 ,  1.32650828772 ,  1.77548607706 ,  1.99973719458 ,  2.6260890102 ,  0.836643695985 ,  3.07519345155 ,  1.07249957761 ,  2.00305118752 ,  2.5596876696 ,  3.60327651365 ,  1.7923848476 ,  2.93387600578 ,  2.10630249637 ,  2.62657712208 ,  4.46121606175 ,  3.67395466752 ,  6.08488199517 ,  2.82596124205 ,  3.91241243228 ,  2.41879102395 ,  5.58772604829 ,  5.46544361042 ,  2.28721049498 ,  2.77276299549 ,  3.76564829102 ,  2.98083742388 ,  2.27925861381 ,  4.62218104164 ,  2.28501948578 ,  3.05490472895 ,  3.46676593792 ,  3.92566641941 ,  2.17956934145 ,  1.37175933222 ,  6.96433390259 ,  2.01892635736 ,  1.26722331867 ,  2.8570576534 ,  1.13259061279 ,  1.95600833705 ,  3.03595447335 ,  2.68137884379 ,  2.422802909 ,  1.68415431027 ,  6.4498319049 ,  3.96220874586 ,  4.69988034974 ,  4.07102932834 ,  10.7651747519 ,  1.81898918617 ,  4.65267675925 ,  6.19047595255 ,  9.03167793854 ,  6.76516119096 ,  9.09661653142 ,  5.77479201038 ,  5.02901085492 ,  7.21128650775 ,  9.02549607313 ,  4.47327569073 ,  6.31552038723 ,  3.84705878877 ,  4.93029548398 ,  7.19598955666 ,  2.89317645075 ,  2.24624292048 ,  19.8300025219 ,  16.3631961495 ,  5.65725732509 ,  7.03276276214 ,  7.74351929772 ]
    
    time2 = [ 15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1, 18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9, 21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8,   23.9 ,  24.0]
    traf1 = [ 3.96618645819 ,  4.04497622846 ,  3.39075473611 ,  4.7234606614 ,  4.164909464 ,  3.74929904373 ,  3.90519374081 ,  4.01099285863 ,  4.64369992486 ,  4.57965918692 ,  2.82826888741 ,  5.0604905316 ,  3.99257536387 ,  7.18455151752 ,  2.36224254873 ,  4.16547682492 ,  3.34751996066 ,  3.58983560969 ,  2.43789160656 ,  2.54892943846 ,  2.54892943846 ,  4.86102740209 ,  4.39002674918 ,  3.4733625116 ,  1.65661314039 ,  4.30196947144 ,  1.85158868053 ,  3.45453815456 ,  8.26514748182 ,  3.39325035825 ,  3.05344100669 ,  4.92566172441 ,  3.90778176245 ,  2.98940013899 ,  7.03302763038 ,  4.51793391538 ,  5.11233797865 ,  3.58112845539 ,  5.31103060742 ,  5.36028896036 ,  4.68315982201 ,  4.68057920356 ,  10.2563604348 ,  7.45090549345 ,  3.48067021098 ,  4.95830331286 ,  6.78096463283 ,  5.14312042025 ,  2.79491732187 ,  3.85133045544 ,  4.39286091368 ,  4.15029338914 ,  2.69199038573 ,  2.6877504365 ,  6.18964671317 ,  3.92690164743 ,  1.4216195593 ,  2.32972493884 ,  2.68810883884 ,  3.07620211093 ,  8.10307709548 ,  6.24938041557 ,  4.41333952399 ,  5.74221501923 ,  4.89501154313 ,  7.2711287331 ,  9.07431829147 ,  4.32086457158 ,  8.21095270683 ,  2.74730418402 ,  3.6636698868 ,  4.57328849058 ,  5.80687995343 ,  6.95878485269 ,  7.72893462061 ,  7.02814142419 ,  5.05219816438 ,  5.44598003157 ,  6.13105945609 ,  4.38539146046 ,  6.26051298642 ,  7.82124811496 ,  6.47002032166 ,  10.1974933772 ,  3.6415823182 ,  8.26392144517 ,  4.41229726097 ,  3.56887666101 ,  6.36807457898 ,  6.53689879115 ,  6.50894555372 ] 
    time = []
    occ= []
    traf = []
    for time10 in range(160,241,10):
        time01 = time10 / 10.0
        for i in range(len(time1)):
            if time1[i] == time01:
                time.append(time1[i])
                occ.append(occ1[i])
                break
        for j in range(len(time2)):
            if time2[j] == time01:
                traf.append(traf1[j])
                print traf1[j]
                break
        
    time.append(time1[-1])
    traf.append(traf1[-1])
    occ.append(occ1[-1])
    print 'MEAN -occ: ',np.mean(occ)
    print 'MEAN - traf:', np.mean(traf)    
    
    fig = plt.figure(figsize=(8,6),dpi=80)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    errorDis1.set_xlabel('Time',size=xlabelsize)
    errorDis1.set_ylabel('MSE',size=ylabelsize)
    errorDis1.plot(time,occ,'pb-',label='TPO-T', linewidth=lwidth, markersize=psize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)
    errorDis1.plot(time,traf,'*r--',label='TP-P', linewidth = lwidth, markersize=starsize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)    
    errorDis1.legend(bbox_to_anchor=(0.4, 1), prop={'size':legendsize}) 
    plt.grid(True, linewidth = gridwidth)
    #xlim(20,22)
    xlim(16,24)
    ylim(0,10)
    plt.show()    
elif graph == 20:#O versus T - TPO-T VS TPO-P
#    time1 = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    oftt1 = [ 2.24145459457 ,  1.73143800808 ,  0.799179426583 ,  2.01173649785 ,  1.81718487406 ,  1.15549025585 ,  2.81841446511 ,  1.31058908497 ,  1.10303421876 ,  0.645413892646 ,  2.58626674665 ,  3.61801909886 ,  0.952661481413 ,  1.33722863725 ,  2.33427913521 ,  3.25891430085 ,  1.58177500317 ,  3.16742183238 ,  3.40244886268 ,  2.74782217877 ,  2.02421508291 ,  3.43543221065 ,  2.75801727099 ,  3.47512377666 ,  3.21835103328 ,  3.55187074828 ,  2.58031331124 ,  2.29762085226 ,  4.06586361021 ,  1.99885747247 ,  3.50018608759 ,  2.89382577221 ,  2.87643825366 ,  3.82574308484 ,  2.88754786537 ,  3.4611622107 ,  2.38718055664 ,  3.64932069411 ,  3.87850569272 ,  4.4113182732 ,  2.60367705107 ,  4.38603456884 ,  3.76237502142 ,  4.70449294799 ,  4.48489780315 ,  4.00217675235 ,  3.69113872225 ,  2.84381752466 ,  2.64490642981 ,  3.26550030106 ,  3.11284322531 ,  3.5278606601 ,  2.73389921687 ,  3.22909639958 ,  9.68749273327 ,  3.33794329991 ,  1.82267761822 ,  3.84960343354 ,  3.34947114286 ,  1.97525234047 ,  4.80490149444 ,  8.14703674908 ,  2.85123026634 ,  4.55860899603 ,  3.8336676661 ,  6.30110432527 ,  5.03219707113 ,  16.0849484556 ,  2.45380197659 ,  1.51388666902 ,  1.93585020619 ,  1.3686990979 ,  1.79589742566 ,  1.87033918163 ,  2.1347025076 ,  2.2107307156 ,  2.00306285687 ,  1.42081441613 ,  2.25800807735 ,  2.64485987569 ,  1.57499868863 ,  1.46970759794 ,  2.14947144609 ,  1.71494163207 ,  1.42890994211 ,  1.42921051412 ,  2.56822992844 ,  2.57491186436 ,  2.24887120575 ,  2.45006028512 ,  2.29030145929 ,  2.20357005345 ,  2.37107043373 ,  1.79574736231 ,  2.16022404774 ,  1.98744860352 ,  2.76517152188 ,  4.46927922498 ,  2.28449240154 ,  3.50934876462 ,  3.43002757824 ,  3.57237690717 ,  3.74711858238 ,  5.269319282 ,  1.91724186837 ,  2.37274846701 ,  2.74429162252 ,  4.33152677022 ,  5.19693037903 ,  4.14178144568 ,  1.3717559139 ,  5.10188377373 ,  15.3319173641 ,  2.72503824835 ,  4.43168328127 ,  2.77228298597 ,  4.00000047582 ,  2.78321470794 ,  4.4266595246 ,  12.3738675504 ,  2.2362768749 ,  3.53624063741 ,  2.17194051215 ,  1.80232955064 ,  3.11447942993 ,  5.58415288653 ,  14.1053921526 ,  8.57341416642 ,  3.15187293847 ,  2.76141329912 ,  4.07248264248 ,  1.99320484803 ,  2.91473616599 ,  2.20586857277 ,  2.94563619851 ,  5.42395269199 ,  29.078302079 ,  14.0218517407 ,  20.5513224061 ,  8.07341836515 ,  6.53713071169 ,  3.6100915748 ,  2.98813230058 ,  2.04783764553 ,  2.60001717019 ,  1.67795651189 ,  2.92481559366 ,  1.78590828584 ,  0.883847519117 ,  2.09792479628 ,  2.77275673653 ,  6.82743125648 ,  2.05469069428 ,  4.18963363872 ,  5.88560779047 ,  3.49943148138 ,  2.40634975286 ,  3.75794501409 ,  3.99229239053 ,  1.58456767841 ,  3.45776889589 ]
#    ftt1  = [ 3.31262327416 ,  1.84214332676 ,  1.11111111111 ,  2.03014464168 ,  1.93767258383 ,  1.65447074293 ,  9.03852728468 ,  1.27301117686 ,  1.26666666667 ,  9.82712031558 ,  10.434122288 ,  10.373339908 ,  9.46630506246 ,  4.1728139382 ,  5.41262327416 ,  4.27879684418 ,  6.29760026298 ,  9.66288625904 ,  11.6660420776 ,  11.8333333333 ,  10.6944444444 ,  10.0307034845 ,  3.57557527942 ,  11.5675871137 ,  10.4951347798 ,  12.6495069034 ,  8.61134122288 ,  7.35282708744 ,  15.2697238659 ,  11.763477975 ,  11.9313938199 ,  5.16702827087 ,  9.16988823143 ,  13.1682117028 ,  6.59408284024 ,  11.0944444444 ,  10.6555555556 ,  9.95519395135 ,  9.09247205786 ,  6.50575279421 ,  8.11604207758 ,  7.55410913872 ,  11.0204470743 ,  9.8771860618 ,  11.4343523997 ,  12.8762656147 ,  7.9865877712 ,  9.08829717291 ,  8.25016436555 ,  5.91666666667 ,  3.31130834977 ,  9.45788954635 ,  9.45358316897 ,  11.9777120316 ,  10.9437869822 ,  12.5656147272 ,  10.2722222222 ,  12.8760026298 ,  8.95239973702 ,  10.3648915187 ,  5.87370151216 ,  4.64280078895 ,  11.4609138725 ,  12.0109467456 ,  3.86985535832 ,  2.52258382643 ,  12.7899408284 ,  12.5566732413 ,  10.8793228139 ,  8.65 ,  3.78099934254 ,  10.8026298488 ,  7.08011176857 ,  13.9724194609 ,  8.85548980934 ,  10.6792899408 ,  1.92024983563 ,  8.36048652202 ,  10.8907626561 ,  12.25539119 ,  10.9333333333 ,  8.59119000657 ,  3.31245890861 ,  6.69470742932 ,  5.44224194609 ,  8.9033530572 ,  12.6318211703 ,  8.3892504931 ,  12.5443786982 ,  11.1166666667 ,  12.7669296515 ,  5.2476660092 ,  10.1997698882 ,  7.16147271532 ,  14.1570348455 ,  12.6276134122 ,  6.18612754767 ,  8.52889546351 ,  6.97771203156 ,  5.6845496384 ,  9.83563445102 ,  4.45420775805 ,  7.94322813938 ,  11.9659763314 ,  5.65262984878 ,  11.1993754109 ,  5.48007889546 ,  3.85 ,  7.94165023011 ,  5.82501643655 ,  13.3653188692 ,  12.3447074293 ,  8.30325443787 ,  9.31564760026 ,  1.98583168968 ,  5.0335634451 ,  3.27419460881 ,  5.45749506903 ,  9.69375410914 ,  10.5053583169 ,  5.52222222222 ,  8.88484549638 ,  4.34707429323 ,  7.59566074951 ,  11.1198224852 ,  3.9771860618 ,  14.2973701512 ,  5.28652202498 ,  9.70667324129 ,  9.508382643 ,  12.7611111111 ,  8.00660749507 ,  11.3608809993 ,  15.2407955293 ,  4.07712031558 ,  11.8497370151 ,  13.1331032216 ,  11.6076265615 ,  9.47376725838 ,  5.78333333333 ,  5.68783694938 ,  5.93011176857 ,  6.64806048652 ,  5.23185404339 ,  16.66617357 ,  9.43609467456 ,  2.10019723866 ,  2.68957922419 ,  4.42330703485 ,  9.30023011177 ,  10.2113412229 ,  7.99375410914 ,  8.58267587114 ,  10.5413872452 ,  5.42728468113 ,  6.30785667324 ,  8.36650230112 ,  7.07001972387 ,  8.60621301775 ,  4.16111111111 ,  5.93625904011 ]    
    time1 = [ 15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
    #oftt1 = [ 3.34016987043 ,  2.11315860427 ,  3.18601772454 ,  2.27078098197 ,  1.9420457237 ,  1.78898985201 ,  3.73454058499 ,  1.68480930255 ,  3.0386681039 ,  2.85571865734 ,  3.67601949705 ,  3.79573983327 ,  2.14938619725 ,  3.30385990796 ,  2.52350280827 ,  2.78920221392 ,  2.33322730245 ,  1.98399477751 ,  1.60538259827 ,  1.6598521442 ,  1.32650828772 ,  1.77548607706 ,  1.99973719458 ,  2.6260890102 ,  0.836643695985 ,  3.07519345155 ,  1.07249957761 ,  2.00305118752 ,  2.5596876696 ,  3.60327651365 ,  1.7923848476 ,  2.93387600578 ,  2.10630249637 ,  2.62657712208 ,  4.46121606175 ,  3.67395466752 ,  6.08488199517 ,  2.82596124205 ,  3.91241243228 ,  2.41879102395 ,  5.58772604829 ,  5.46544361042 ,  2.28721049498 ,  2.77276299549 ,  3.76564829102 ,  2.98083742388 ,  2.27925861381 ,  4.62218104164 ,  2.28501948578 ,  3.05490472895 ,  3.46676593792 ,  3.92566641941 ,  2.17956934145 ,  1.37175933222 ,  6.96433390259 ,  2.01892635736 ,  1.26722331867 ,  2.8570576534 ,  1.13259061279 ,  1.95600833705 ,  3.03595447335 ,  2.68137884379 ,  2.422802909 ,  1.68415431027 ,  6.4498319049 ,  3.96220874586 ,  4.69988034974 ,  4.07102932834 ,  10.7651747519 ,  1.81898918617 ,  4.65267675925 ,  6.19047595255 ,  9.03167793854 ,  6.76516119096 ,  9.09661653142 ,  5.77479201038 ,  5.02901085492 ,  7.21128650775 ,  9.02549607313 ,  4.47327569073 ,  6.31552038723 ,  3.84705878877 ,  4.93029548398 ,  7.19598955666 ,  2.89317645075 ,  2.24624292048 ,  19.8300025219 ,  16.3631961495 ,  5.65725732509 ,  7.03276276214 ,  7.74351929772 ]
    ofpt1 = [ 3.33126992611 ,  2.15235043881 ,  4.21215375236 ,  2.04146402499 ,  2.26508236112 ,  1.75842743987 ,  3.83752010319 ,  1.79356812562 ,  2.71647871756 ,  2.98920028076 ,  3.06963761795 ,  3.78037524154 ,  2.11330949347 ,  3.62306600989 ,  2.10132375418 ,  2.79890211351 ,  2.45220911956 ,  2.0962944359 ,  1.71888897623 ,  2.00237892092 ,  2.00237892092 ,  1.75017286044 ,  1.87819485903 ,  2.77200592938 ,  0.927552735382 ,  2.16110258543 ,  0.952612535679 ,  1.55876494568 ,  2.43936505277 ,  2.74032154014 ,  2.20187230613 ,  2.62732676781, 1.81709347884 ,  2.68646819361 ,  4.87840695719 ,  3.58804992604 ,  1.96027598281 ,  2.16400733578 ,  4.55698744552 ,  2.61612107743 ,  4.1007299461 ,  2.60197595024 ,  2.42772928849 ,  3.70504358394 ,  2.64089183244 ,  2.53083484208 ,  2.69596558723 ,  3.82189848477 ,  2.10858933652 ,  2.69381421149 ,  4.48942308279 ,  3.48776778082 ,  1.75831208948 ,  1.48030854681 ,  3.2901866737 ,  2.33799936521 ,  1.50491990853 ,  1.23953538087 ,  1.19008302381 ,  2.36576100342, 2.57888534853 ,  2.052794471 ,  2.64644323686 ,  1.35534774334 ,  5.6573022579 ,  4.76819909982 ,  1.85043233584 ,  3.46190356262 ,  5.28356384041 ,  1.84882416982 ,  3.01211103176 ,  4.59728665448 ,  8.01181670627 ,  6.44190774176 ,  7.57429158629 ,  5.66900034971 ,  4.30244931982 ,  6.23339404063 ,  6.88638460847 ,  4.63713969717 ,  5.75838213042 ,  3.38303474858 ,  4.29114582128 ,  2.74825804228 ,  2.33363923855 ,  2.26640425042 ,  4.06245325649 ,  3.02492973852 ,  4.13263598916, 4.06968874886 ,  3.87911988994]
      
    time2 = [16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0, 18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0, 20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0, 22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0]
    oftt1 = [4.69668769016 ,  5.22815511796 ,  4.75651864455 ,  7.27951179414 ,  1.83936252642 ,  2.92045248929 ,  3.27799965301 ,  5.89231086353 ,  7.41883633633 ,  5.29257760195 ,  1.29865347968 ,  7.08251471428 ,  16.9714386887 ,  3.68136567864 ,  4.6412439188 ,  3.88903306758 ,  3.54682791884 ,  3.73403607414 ,  6.9666255785 ,  20.3582630944 ,  3.19957891476, 3.80543310502 ,  1.93401424702 ,  3.17057766458 ,  3.96305911318 ,  6.51887629373 ,  20.4186073407 ,  11.4147131854 ,  3.85847773442 ,  3.11570712986 ,  3.50262623757 ,  2.22010631502 ,  2.31444421917 ,  2.59850885854 ,  2.68293911389 ,  6.75030937958 ,  43.7200549223 ,  21.8209065471 ,  29.7734428877 ,  10.3799544067 ,  7.0800434828, 4.84267494922 ,  2.87969582577 ,  1.73273692692 ,  3.36322225073 ,  1.95472294708 ,  2.32214555282 ,  1.50623440831 ,  1.09532940564 ,  1.76316748388 ,  2.68600217437 ,  8.51850047806 ,  3.06249792008 ,  3.8621030668 ,  10.2604727585 ,  5.18644468396 ,  1.89713897743 ,  3.90466259625 ,  5.35529750254 ,  1.55552123283 ,  2.9387445849, 3.87210768706 ,  6.7209386312 ,  7.24779869356 ,  6.87608364896 ,  5.11448242313 ,  4.95290896891 ,  6.55150709768 ,  5.4000674614 ,  4.36536378271 ,  4.45552987643 ,  3.45963586477 ,  4.39443102979 ,  3.25922301023 ,  1.95031262487 ,  2.22012292429 ,  4.23730662071 ,  8.2025886652 ,  10.6547490425 ,  3.34325981498 ,  3.56071448287 ]
    time = []
    oftt= []
    ftt = []
    ofpt = []
    for time10 in range(160,241,10):
        time01 = time10 / 10.0
        for i in range(len(time1)):
            if time1[i] == time01:
                time.append(time1[i])
                ofpt.append(ofpt1[i])
                break
        for j in range(len(time2)):
            if time2[j] == time01:
                oftt.append(oftt1[j])
                print oftt1[j]
                break
    print 'MEAN - oftt: ',np.mean(oftt)
    print 'MEAN - ofpt: ', np.mean(ofpt)
        
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    xlim(16,24)
    ylim(0, 10)
    errorDis1.set_xlabel('Time',size=xlabelsize)
    errorDis1.set_ylabel('MSE',size=ylabelsize)
    errorDis1.plot(time,oftt,'pb-',label='TPO-T', linewidth=lwidth, markersize=psize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)
    errorDis1.plot(time,ofpt,'or--',label='TPO-P', linewidth = lwidth, markersize=osize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)     
    errorDis1.legend(bbox_to_anchor=(0.4, 1), prop={'size':legendsize}) 
    plt.grid(True, linewidth = gridwidth)
    plt.show()
elif graph == 21:#TPO-T training length  
    leng = [1, 2, 4, 6, 8, 10, 12]
    mse = [11.3630137637, 8.30783926981, 6.1372113718, 5.69388283632, 4.53503860232, 3.56379580345, 3.34194715277]
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)  
    ax.set_xticks(np.linspace(1,12,12))  
    ax.set_xticklabels( ('1', '2', '3',  '4', '5', '6', '7', '8','9','10','11','12')) 
    errorDis1.set_xlabel('Training Length (week)',size=xlabelsize)
    errorDis1.set_ylabel('Mean MSE',size=ylabelsize)
    errorDis1.plot(leng,mse,'pb-',label='TPO-T', linewidth = lwidth, markersize=psize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)    
    ylim(1,15)
    xlim(1, 12)
    errorDis1.legend(bbox_to_anchor=(0.5, 1), loc=0, borderaxespad=0.,prop={'size':legendsize}) 
    plt.grid(True, linewidth = gridwidth)
elif graph == 22:#performance of different zones      
    per = [1,5,10,20,30,60,120]
    mse = [15.3433176586, 10.3045890768, 9.66024002956, 8.93674166049, 6.60237428115, 4.88553217152, 5.03451190563]
    
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize-5)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize-5)
    
    majorLocator = MultipleLocator(10)
    majorFormatter = FormatStrFormatter('%d')
    minorLocator = MultipleLocator(5)  
    ax.xaxis.set_major_locator(majorLocator)
    ax.xaxis.set_major_formatter(majorFormatter)
    # for the minor ticks, use no labels; default NullFormatter
    ax.xaxis.set_minor_locator(minorLocator)
        
    errorDis1.set_xlabel('Number of Training Zones',size=xlabelsize)
    errorDis1.set_ylabel('Mean MSE',size=ylabelsize)
    errorDis1.plot(per,mse,'*r-',label='TPO-T', linewidth = lwidth, markersize=starsize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)    
    ylim(0,20)
    xlim(0,120)
    errorDis1.legend(bbox_to_anchor=(0.5, 1), loc=0, borderaxespad=0.,prop={'size':legendsize}) 
    plt.grid(True, linewidth = gridwidth)
elif graph == 23: #cdf of TPO-P and TP-P
#TPO-P v.s. TP-P: the percentile of all test days as a function of MSE.
    import numpy as np
    from sklearn.metrics import mean_squared_error
    import matplotlib.pyplot as plt
    import statsmodels.api as sm # recommended import according to the docs
    
    pic = plt.subplot(1,1,1)
    plt.rcParams['xtick.labelsize'] = xfontsize
    plt.rcParams['ytick.labelsize'] = yfontsize
    #plt.rcParams['axes.labelsize'] = xlabelsize #label is set below
    
    time = 21
    if time == 16.0:
        Real =  [58.0, 59.0, 67.0, 59.0, 58.0, 56.0, 58.0, 60.0, 57.0, 63.0, 60.0, 59.0, 60.0, 56.0, 58.0, 62.0, 66.0, 58.0, 59.0, 61.0, 57.0, 60.0, 56.0, 62.0, 59.0, 62.0, 57.0, 62.0, 57.0, 58.0]
        traflwr =  [58.6109092467781, 59.050695650762634, 64.00413230201886, 57.902966650678863, 60.19655260893694, 57.463925700868806, 59.050975841849045, 59.050585666425299, 58.667950803699803, 66.040904141199164, 57.350234759976644, 59.050467761293305, 59.872036985561536, 57.463463368263582, 59.432766715940346, 59.992725070311501, 66.70279919414584, 58.285889317765616, 59.756016898223095, 59.107508506517277, 59.050840905634246, 58.668286532485396, 57.788039112440018, 65.38677071898087, 58.610727580298665, 60.196636361088984, 56.968608886515923, 59.98625175354973, 58.112541296752063, 59.988382536151555]
    elif time == 17.0:
        Real =  [59.0, 58.0, 67.0, 59.0, 59.0, 60.0, 56.0, 59.0, 56.0, 68.0, 59.0, 59.0, 59.0, 59.0, 60.0, 56.0, 67.0, 59.0, 60.0, 59.0, 59.0, 62.0, 56.0, 67.0, 58.0, 58.0, 59.0, 57.0, 58.0, 56.0]
        traflwr =  [57.00448927188409, 60.076068033248177, 65.229508652821991, 59.102093311927568, 58.947406572774099, 57.178362690652982, 58.46157802538665, 61.201192631123362, 59.276218318372436, 64.119741791659052, 59.744172153908039, 58.13139195479534, 59.745312018925716, 57.178476157887765, 59.913966695996557, 60.54031318107571, 65.559249422289071, 57.004584926098687, 59.587479029834157, 60.870959492073013, 56.363721577004178, 60.228777235570213, 56.693233333701286, 64.942504567754142, 59.102254913406298, 60.541925649016733, 57.820258977118364, 62.486284487635629, 57.819813111332948, 57.00483713939569]
    elif time == 18.0:
        Real =  [58.0, 56.0, 64.0, 60.0, 59.0, 59.0, 58.0, 59.0, 60.0, 64.0, 58.0, 62.0, 58.0, 59.0, 59.0, 61.0, 62.0, 60.0, 56.0, 57.0, 59.0, 57.0, 59.0, 66.0, 59.0, 56.0, 59.0, 59.0, 56.0, 58.0]
        traflwr =  [59.076751782795007, 58.773590296953373, 63.046163642548272, 59.231102588615478, 58.614077114865161, 58.763073759986881, 57.396575065996089, 58.768215134917298, 57.090483996737838, 63.502622917275886, 58.614074873126192, 58.768215134917298, 58.768031159138474, 58.460301825405971, 59.224816324581703, 56.938005068065237, 63.045561138077232, 58.768013735450381, 59.070426206029964, 58.922384132567622, 58.76822484887024, 59.829151591099915, 57.552570126873725, 63.676141410442625, 58.311540246964547, 58.157335692564629, 58.613912197044918, 57.854841751585923, 58.157801781915467, 56.93720228451491]
    elif time == 19.0:
        Real =  [59.0, 61.0, 67.0, 58.0, 59.0, 60.0, 59.0, 60.0, 56.0, 69.0, 56.0, 60.0, 62.0, 59.0, 60.0, 59.0, 66.0, 62.0, 62.0, 58.0, 62.0, 59.0, 58.0, 69.0, 62.0, 59.0, 60.0, 56.0, 58.0, 60.0]
        traflwr =  [58.344934243257541, 59.272907138228305, 65.811375986303304, 59.742264968267726, 60.668799601948095, 59.275134042727984, 58.808421956763169, 59.739848339396403, 59.278219477321414, 65.345845598353023, 58.808982292853528, 59.284701068115858, 58.345118601322888, 59.275832292071087, 59.739715263681923, 58.818593529508178, 63.475172445202254, 59.741106957417088, 57.875596832948517, 58.342339240373462, 59.275471681633313, 59.736918135601172, 60.204177530078162, 66.73208743619783, 58.811519393848144, 57.875850093314263, 59.275160313625001, 60.669114664659645, 58.340430336616457, 58.345279741433053]
    elif time == 20.5:
        Real =  [58.0, 59.0, 67.0, 60.0, 59.0, 59.0, 59.0, 59.0, 59.0, 66.0, 58.0, 57.0, 59.0, 59.0, 58.0, 61.0, 67.0, 58.0, 57.0, 62.0, 62.0, 62.0, 59.0, 68.0, 59.0, 59.0, 58.0, 59.0, 59.0, 60.0]
        traflwr =  [56.842804354796073, 59.147202979031952, 66.706229416640568, 58.562111778093112, 60.037402006730886, 59.76263962172532, 59.424076488839177, 60.279953047073491, 60.03892597560413, 63.51338309904984, 59.145313206652155, 58.807291896629508, 58.870944830801157, 59.420912412188365, 59.115392926290696, 58.838329581046551, 63.86243647987861, 60.005764246936735, 60.83461923884375, 59.976534877205218, 57.394739712077772, 58.562626393240308, 58.838167723513074, 64.098629440548237, 59.421606576689925, 58.867966760691026, 60.008236865650737, 61.176108849972366, 57.394806878248723, 60.622772148640898]
    elif time == 21.0:
        Real =  [67.0, 65.0, 67.0, 62.0, 62.0, 63.0, 63.0, 64.0, 67.0, 68.0, 63.0, 63.0, 67.0, 62.0, 63.0, 70.0, 67.0, 63.0, 67.0, 63.0, 63.0, 61.0, 71.0, 67.0, 63.0, 62.0, 63.0, 63.0, 64.0, 73.0]
        traflwr =  [65.870340134926678, 65.026037581466525, 65.948163465176449, 64.977649955657313, 64.927417951671018, 64.915616170947317, 65.447637754705013, 64.333302903930075, 65.680165521385589, 66.485451570592986, 64.806251643916497, 65.806899354258178, 64.915071443375581, 64.321983138880299, 64.804202801354833, 64.742391697873373, 66.308671988115009, 65.211223200974445, 65.618519021631059, 64.928303283400282, 64.572308099480011, 64.976886250467516, 64.790454859220858, 66.485023164067101, 65.744999704699083, 64.977493285649018, 64.557153815581614, 65.399055603007099, 64.792170194005678, 64.976643269850229]
    elif time == 20.0:
        Real =  [62.0, 56.0, 63.0, 59.0, 62.0, 58.0, 59.0, 60.0, 59.0, 64.0, 60.0, 61.0, 58.0, 56.0, 60.0, 59.0, 65.0, 59.0, 58.0, 62.0, 60.0, 59.0, 56.0, 64.0, 60.0, 59.0, 56.0, 62.0, 56.0, 59.0]
        traflwr =  [58.898108852462904, 59.715162972333424, 64.191838953617733, 58.997079449805057, 59.236393300599445, 58.798746308931158, 59.576262501351465, 58.799643963917276, 58.180483997660303, 62.97377997733394, 58.518400385545384, 59.137718456352793, 59.614598948078019, 59.575530699780479, 59.815114244294676, 59.236150336764872, 62.93981183835772, 59.953701668968016, 59.277524397341779, 59.338322595623751, 59.954210054355954, 58.559281669060155, 59.336890042238373, 63.989981643877506, 59.953872691945982, 58.219137592367574, 59.814210407941744, 57.839695414114423, 60.015824429702377, 59.476049390977593]
    elif time == 22.0:
        Real =  [66.0, 69.0, 66.0, 65.0, 66.0, 70.0, 66.0, 63.0, 65.0, 68.0, 66.0, 68.0, 64.0, 65.0, 66.0, 66.0, 69.0, 65.0, 66.0, 66.0, 64.0, 70.0, 69.0, 70.0, 65.0, 66.0, 66.0, 65.0, 66.0, 69.0]
        traflwr =  [67.204897095112045, 66.56733143572616, 68.472780477204154, 65.700441657828122, 65.339746178495204, 65.568336524732445, 66.289034123771202, 65.97771154388505, 67.747436505325538, 69.064077637630476, 65.568693625711731, 65.568336524732445, 67.204689833325261, 64.979207025422227, 65.388083146611649, 67.888920825194404, 67.928947356760602, 65.568251582293087, 67.024367213958712, 65.568642916573623, 65.568149202996793, 64.749488870390891, 69.382944037587379, 68.836204464662373, 65.388026641973511, 64.979070141623311, 65.568234053212009, 65.929157233213999, 65.977640378328886, 70.200033594911105]
    elif time == 21.5:
        Real =  [62.0, 69.0, 73.0, 65.0, 65.0, 64.0, 65.0, 70.0, 70.0, 65.0, 65.0, 62.0, 65.0, 65.0, 66.0, 70.0, 68.0, 69.0, 66.0, 66.0, 62.0, 67.0, 69.0, 73.0, 66.0, 65.0, 66.0, 67.0, 66.0, 70.0]
        traflwr =  [65.792920708610879, 65.7697668201358, 67.651944259582322, 65.939338809978821, 65.769440585449402, 65.834064110948944, 65.704450888345292, 65.963064688601605, 65.575390162021364, 67.728397312732184, 65.600416372145915, 65.430605604321556, 65.833877647094894, 65.769678722410504, 65.405057622423229, 66.04379282460998, 67.904294173280491, 65.599511844769538, 65.432038784157726, 66.28119078419445, 66.084832331923323, 66.472749689767966, 65.770246110494483, 67.639583504364722, 65.704793856243299, 65.769608309209502, 65.599905513726668, 65.96285088588742, 65.639327163858923, 65.939529345553467]
    print mean_squared_error(Real, traflwr)
    
    mse = []
    for i in range(100):
        mse.append(0)
        
    MSE = []    
    cnt = 0
    for i in range(len(Real)):
        temp = int(np.ceil((traflwr[i] - Real[i])*(traflwr[i] - Real[i])))
        print temp
        mse[temp] += 1
        cnt += 1
        MSE.append(temp)
    
    print mse
    ecdf = sm.distributions.ECDF(MSE)
    x = np.linspace(min(MSE), max(MSE))
    y = ecdf(x)
    #print x
    #print y
    
    X = []
    Y = []
    X.append(0.1)
    Y.append(0)
    for xx in x:
        X.append(xx)
    for yy in y:
        Y.append(yy)
    X.append(x[-1])
    Y.append(y[-1])
    #print X
    #print Y
    #ylim(min(Y),max(Y)+0.01)
    xlim(min(X)-0.1,30)
    plt.step(X, Y,'.r-',label='TP-P', linewidth = 3.5,markersize=20)
    #plt.show()
    b = 30
    #leng = len(Y)
    #print leng
    pic.legend(bbox_to_anchor=(0.47, 1), loc=0, borderaxespad=0.,prop={'size':legendsize}) 
    
    if time == 16.0:
        Real =  [58.0, 59.0, 58.0, 56.0, 58.0, 60.0, 60.0, 59.0, 60.0, 56.0, 58.0, 58.0, 59.0, 61.0, 57.0, 60.0, 59.0, 62.0, 57.0, 62.0, 57.0]
        Occtraflwr =  [58.920621425008449, 58.291577091475219, 59.32294102666107, 58.518773321619868, 58.87247933148354, 58.836231372682484, 59.179407677396966, 58.899737397766756, 58.920695547726083, 58.597767224241245, 59.04375628032745, 58.75574316360138, 59.622693078707535, 58.652352255611049, 58.909935842210096, 58.828047158709246, 59.094413053126431, 59.38699857527974, 58.998641045169713, 58.198583478889596, 59.538340558365007]
    elif time == 17.0:
        Real =  [59.0, 59.0, 59.0, 60.0, 56.0, 59.0, 59.0, 59.0, 59.0, 59.0, 60.0, 59.0, 60.0, 59.0, 59.0, 62.0, 58.0, 58.0, 59.0, 57.0, 58.0]
        Occtraflwr =  [58.819110907218089, 58.754440850740252, 58.707566598243211, 58.691671314068877, 58.758768758296462, 58.693374206687253, 58.79395041937714, 58.825970794828692, 58.799346076728348, 58.705427701363377, 58.665535340936685, 58.866990631146201, 58.773317862360578, 58.799104491440758, 58.842071482687309, 58.777559913611604, 58.804107070134286, 58.889079660011667, 58.738712233540099, 58.77692611422853, 58.744114787827947]
    elif time == 18.0:
        Real =  [58.0, 60.0, 59.0, 59.0, 58.0, 59.0, 58.0, 62.0, 58.0, 59.0, 59.0, 60.0, 56.0, 57.0, 59.0, 57.0, 59.0, 56.0, 59.0, 59.0, 56.0]
        Occtraflwr =  [58.447769637707772, 58.366154904081149, 58.730416828547575, 59.024014142002422, 58.22982464557392, 58.640574644085966, 58.764229639154081, 58.719729935365841, 58.670967537145501, 58.864195872538637, 58.806820474500697, 58.592547678126081, 58.938344633399268, 58.527407224811228, 58.63196901393249, 59.011548917637107, 58.606296098351109, 58.582475829969361, 58.671356274513172, 58.454252929307778, 58.627615925678036]    
    elif time == 19.0:
        Real =  [59.0, 58.0, 59.0, 60.0, 59.0, 60.0, 56.0, 60.0, 62.0, 59.0, 60.0, 62.0, 62.0, 58.0, 62.0, 59.0, 62.0, 59.0, 60.0, 56.0, 58.0]
        Occtraflwr =  [58.555037814836311, 58.936393832203365, 58.589226966559629, 58.155545770382076, 58.205453236714149, 58.448309518584907, 58.25920046722954, 59.497570305311072, 58.440651250943446, 58.762359530958292, 58.99015307298825, 58.438368231684436, 58.512435664946288, 58.419270420991495, 58.496861544770965, 58.177733088116561, 58.476850541288108, 58.228870517925472, 58.424488254722625, 58.387422167887898, 58.409390453609454]
    elif time == 20.5:
        Real =  [58.0, 60.0, 59.0, 59.0, 59.0, 59.0, 58.0, 57.0, 59.0, 59.0, 58.0, 58.0, 57.0, 62.0, 62.0, 62.0, 59.0, 59.0, 58.0, 59.0, 59.0]
        Occtraflwr =  [58.889618169823564, 58.420855476570232, 58.215523282400596, 58.106694214154224, 58.332925595911426, 58.189297893611069, 58.365262976457707, 58.597107290226035, 58.41166517580907, 58.29045799921834, 58.522614384064603, 58.330896564285659, 58.15962756501817, 58.444565820038505, 58.670679927855645, 58.466677832171946, 58.376497338584954, 58.377036778214858, 58.373019002788361, 58.097996223511366, 58.689049616530397]
    elif time == 21.0:
        Real =  [67.0, 62.0, 62.0, 63.0, 63.0, 64.0, 63.0, 63.0, 67.0, 62.0, 63.0, 63.0, 67.0, 63.0, 63.0, 61.0, 63.0, 62.0, 63.0, 63.0, 64.0]
        Occtraflwr =  [63.134976389584118, 63.405328773536496, 63.022932289179764, 63.593816507071921, 63.417241302998001, 63.257910052549406, 63.243446343930202, 63.246259625203187, 63.654006493057437, 63.946756160407944, 63.318866368035124, 63.423860203386802, 63.809153147762842, 63.225209091880565, 63.267845375124267, 63.511181376241602, 63.368189494434674, 63.432380588569039, 63.942082646980836, 63.046744689149229, 63.786257085620562]
    elif time == 20.0:
        Real =  [62.0, 59.0, 62.0, 58.0, 59.0, 60.0, 60.0, 61.0, 58.0, 56.0, 60.0, 59.0, 58.0, 62.0, 60.0, 59.0, 60.0, 59.0, 56.0, 62.0, 56.0]
        Occtraflwr =  [59.294513999253304, 58.931649923731186, 59.530798058866878, 58.648758165487834, 59.570298718257916, 59.063033574754179, 58.900275122566747, 59.602183385946823, 59.46573645982707, 59.658626071221853, 59.793530881061216, 60.245556545510354, 59.492015063326981, 59.044903637092091, 59.796526927502718, 58.613187952693359, 59.627741116562298, 58.473638844341963, 59.954545371782764, 58.117813390860881, 60.082419453326885]
    elif time == 22.0:
        Real =  [66.0, 65.0, 66.0, 70.0, 66.0, 63.0, 66.0, 68.0, 64.0, 65.0, 66.0, 65.0, 66.0, 66.0, 64.0, 70.0, 65.0, 66.0, 66.0, 65.0, 66.0]
        Occtraflwr =  [66.068646487838649, 65.231697872899204, 65.579095187064297, 65.907918320189907, 64.980206231479869, 65.976068175288148, 65.913910513310185, 65.968362816357427, 66.385849920371854, 66.023987873361406, 66.097527474567997, 65.828888852474435, 66.489018871206639, 66.066683243151715, 65.895392456622233, 65.676364698229733, 66.154104847306158, 66.381244066382976, 65.869619618572713, 65.882249675567593, 66.041606632709986]
    elif time == 21.5:
        Real =  [62.0, 65.0, 65.0, 64.0, 65.0, 70.0, 65.0, 62.0, 65.0, 65.0, 66.0, 69.0, 66.0, 66.0, 62.0, 67.0, 66.0, 65.0, 66.0, 67.0, 66.0]
        Occtraflwr =  [64.637061879563277, 64.827712685964158, 64.660673757850205, 64.389170908673634, 64.974209990210497, 64.4106996949006, 65.178985804820726, 65.325190866464311, 64.697744387975817, 64.717490058644714, 65.61990544475114, 64.988643707129029, 65.231116605223121, 64.169343671591207, 64.76600264534575, 63.428361153439241, 65.052724273938793, 64.829028984969554, 65.105322650179431, 64.222671695835018, 65.40427324002367]
    print mean_squared_error(Real, Occtraflwr)
    
    mse = []
    for i in range(20):
        mse.append(0)
    MSE = [] 
    cnt = 0
    for i in range(len(Real)):
        temp = int(np.ceil((Occtraflwr[i] - Real[i])*(Occtraflwr[i] - Real[i])))
        mse[temp] += 1
        cnt += 1
        MSE.append(temp)
    #print mse
    ecdf = sm.distributions.ECDF(MSE)
    x = np.linspace(min(MSE), max(MSE))
    y = ecdf(x)
    #print x
    #print y
    
    
    X = []
    Y = []
    X.append(0.1)
    Y.append(0)
    for xx in x:
        X.append(xx)
    for yy in y:
        Y.append(yy)
    X.append(x[-1])
    Y.append(y[-1])
    
    #print X
    #print len(Y)
    ylim(min(Y),max(Y)+0.01)
    #xlim(min(X)-0.1,max(X))
    ax=plt.gca()  
    ax.set_xticks(np.linspace(0,30,11))  
    ax.set_xticklabels( ('0', '3', '6',  '9', '12', '15', '18', '21','24','27','30'))  
    ax.set_yticks(np.linspace(0,1,9))  
    ax.set_yticklabels( ('0.00', '0.125', '0.25', '0.375', '0.50','0.625','0.75','0.875','1.0')) 
    
    pic.set_xlabel('Squared Error',size=xlabelsize)
    pic.set_ylabel('Percentile',size=ylabelsize)
    plt.step(X, Y, 'k-',label='TPO-P', linewidth=3.5)
    pic.legend(bbox_to_anchor=(0.95, 0.5), loc=0, borderaxespad=0.,prop={'size':legendsize}) 
    
    a = np.linspace(max(X),b)
    c=[]
    for aa in range(len(a)):
        c.append(1)
    a = np.linspace(max(X),b)
    c=[]
    for aa in range(len(a)):
        c.append(1)
    pic.plot(a,c,'k-',linewidth=3.5)
    
    plt.grid(True, linewidth = gridwidth)
    plt.show()

elif graph == 31:#weight of occupancy/traffic - different prediction time
#Weight of Occupancy v.s. Traffic, 20:00-22:00.
    time = [0.2, 0.4, 0.6, 0.8, 1, 1.2]
    occ = [1.33620255151, 4.95949772586, 1.26187717795, 0.990177728744, 1.2777695719, 0.0484706064585]
    traf = [1,1,1,1,1,1]
        
    #traf = [0.0108831159948, 0.0108958069672, 0.0629231822061, 0.0615828235894, 0.0629231822061, 0.0143713279428]
    #0.0145420473606 0.0540377298752 0.0794013275901 0.0609779403914 0.0804013275901 0.00206971826242 0.0389080100848 0.0191253722211
    #0.0108831159948 0.0108958069672 0.0629231822061 0.0615828235894 0.0629231822061 0.0427004820786 0.0287928551123 0.0143713279428

    print 'MEAN - occ/traf: ',np.mean(occ)
    #print 'MEAN - traf:', np.mean(traf)

    
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    ax.set_yticks(np.linspace(0,5,6))
    ax.set_yticklabels( ('0', '1', '2', '3', '4',  '5'))
    ax.set_xticks(np.linspace(0,1.2,7))
    ax.set_xticklabels( ('0', '0.2', '0.4', '0.6', '0.8',  '1', '1.2'))
    errorDis1.set_xlabel('Prediction Length (hour)',size=xlabelsize)
    errorDis1.set_ylabel('The Ratio of Weight',size=ylabelsize)
    errorDis1.plot(time,occ,'pb-',label='Occupancy/Traffic', linewidth=lwidth, markersize=psize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)
    errorDis1.plot(time,traf,'r--', linewidth=lwidth, markersize=40,markerfacecolor='r',markeredgecolor='r')    
    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':legendsize}) 
    plt.show()
    ylim(-0.5,5.2)
    xlim(0.179,1.22)
    
elif graph == 32:#TPO-T vs TP-P 200-220
#TPO-T v.s. TP-P: MSE as a function of time, 20:00-22:00.
    time1 =[ 15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1, 18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9, 21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8,   23.9 ,  24.0]
    traf1 = [ 3.96618645819 ,  4.04497622846 ,  3.39075473611 ,  4.7234606614 ,  4.164909464 ,  3.74929904373 ,  3.90519374081 ,  4.01099285863 ,  4.64369992486 ,  4.57965918692 ,  2.82826888741 ,  5.0604905316 ,  3.99257536387 ,  7.18455151752 ,  2.36224254873 ,  4.16547682492 ,  3.34751996066 ,  3.58983560969 ,  2.43789160656 ,  2.54892943846 ,  2.54892943846 ,  4.86102740209 ,  4.39002674918 ,  3.4733625116 ,  1.65661314039 ,  4.30196947144 ,  1.85158868053 ,  3.45453815456 ,  8.26514748182 ,  3.39325035825 ,  3.05344100669 ,  4.92566172441 ,  3.90778176245 ,  2.98940013899 ,  7.03302763038 ,  4.51793391538 ,  5.11233797865 ,  3.58112845539 ,  5.31103060742 ,  5.36028896036 ,  4.68315982201 ,  4.68057920356 ,  10.2563604348 ,  7.45090549345 ,  3.48067021098 ,  4.95830331286 ,  6.78096463283 ,  5.14312042025 ,  2.79491732187 ,  3.85133045544 ,  4.39286091368 ,  4.15029338914 ,  2.69199038573 ,  2.6877504365 ,  6.18964671317 ,  3.92690164743 ,  1.4216195593 ,  2.32972493884 ,  2.68810883884 ,  3.07620211093 ,  8.10307709548 ,  6.24938041557 ,  4.41333952399 ,  5.74221501923 ,  4.89501154313 ,  7.2711287331 ,  9.07431829147 ,  4.32086457158 ,  8.21095270683 ,  2.74730418402 ,  3.6636698868 ,  4.57328849058 ,  5.80687995343 ,  6.95878485269 ,  7.72893462061 ,  7.02814142419 ,  5.05219816438 ,  5.44598003157 ,  6.13105945609 ,  4.38539146046 ,  6.26051298642 ,  7.82124811496 ,  6.47002032166 ,  10.1974933772 ,  3.6415823182 ,  8.26392144517 ,  4.41229726097 ,  3.56887666101 ,  6.36807457898 ,  6.53689879115 ,  6.50894555372 ] 
    occ1 = [ 3.34016987043 ,  2.11315860427 ,  3.18601772454 ,  2.27078098197 ,  1.9420457237 ,  1.78898985201 ,  3.73454058499 ,  1.68480930255 ,  3.0386681039 ,  2.85571865734 ,  3.67601949705 ,  3.79573983327 ,  2.14938619725 ,  3.30385990796 ,  2.52350280827 ,  2.78920221392 ,  2.33322730245 ,  1.98399477751 ,  1.60538259827 ,  1.6598521442 ,  1.32650828772 ,  1.77548607706 ,  1.99973719458 ,  2.6260890102 ,  0.836643695985 ,  3.07519345155 ,  1.07249957761 ,  2.00305118752 ,  2.5596876696 ,  3.60327651365 ,  1.7923848476 ,  2.93387600578 ,  2.10630249637 ,  2.62657712208 ,  4.46121606175 ,  3.67395466752 ,  6.08488199517 ,  2.82596124205 ,  3.91241243228 ,  2.41879102395 ,  5.58772604829 ,  5.46544361042 ,  2.28721049498 ,  2.77276299549 ,  3.76564829102 ,  2.98083742388 ,  2.27925861381 ,  4.62218104164 ,  2.28501948578 ,  3.05490472895 ,  3.46676593792 ,  3.92566641941 ,  2.17956934145 ,  1.37175933222 ,  6.96433390259 ,  2.01892635736 ,  1.26722331867 ,  2.8570576534 ,  1.13259061279 ,  1.95600833705 ,  3.03595447335 ,  2.68137884379 ,  2.422802909 ,  1.68415431027 ,  6.4498319049 ,  3.96220874586 ,  4.69988034974 ,  4.07102932834 ,  8.7651747519 ,  1.81898918617 ,  4.65267675925 ,  6.19047595255 ,  9.03167793854 ,  6.76516119096 ,  9.09661653142 ,  5.77479201038 ,  5.02901085492 ,  7.21128650775 ,  9.02549607313 ,  4.47327569073 ,  6.31552038723 ,  3.84705878877 ,  4.93029548398 ,  7.19598955666 ,  2.89317645075 ,  2.24624292048 ,  19.8300025219 ,  16.3631961495 ,  5.65725732509 ,  7.03276276214 ,  7.74351929772 ]
    time = []
    traf= []
    occ = []
    for time10 in range(160,240,1):
        time01 = time10 / 10.0
        
        for i in range(len(time1)):
            if time1[i] == time01:
                if occ1[i] > 10:
                    print occ1[i]
                time.append(time1[i])
                traf.append(traf1[i])
                occ.append(occ1[i])
                break
        
    time.append(time1[-1])
    traf.append(traf1[-1])
    occ.append(occ1[-1])
    print 'MEAN -occ: ',np.mean(occ)
    print 'MEAN - traf:', np.mean(traf)
#    cntT = 0
#    cntO = 0
#    for i in range(len(traf)):
#        if traf[i] < occ[i]:
#            cntT += 1
#        else:
#            cntO += 1
#    print "T win: ", cntT
#    print "O win: ", cntO
    
    xlim(20,22)
    #xlim(16,24)
    ylim(0,10)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    errorDis1.set_xlabel('Time',size=xlabelsize)
    errorDis1.set_ylabel('MSE',size=ylabelsize)
    errorDis1.plot(time,occ,'pb-',label='TPO-T', linewidth=lwidth, markersize=psize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)
    errorDis1.plot(time,traf,'*r--',label='TP-P', linewidth = lwidth, markersize=starsize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)    
    errorDis1.legend(bbox_to_anchor=(0.30, 1.03), prop={'size':legendsize}) 
    plt.grid(True, linewidth = gridwidth)
    plt.show()
    
elif graph == 33.1:#Lin Cheung - TPO-T VS TP-T
#TPO-T v.s. TP-T: MSE as a function of time (a) 16:00-24:00
    time1 = [ 16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
    occ1 = [ 5.49903483304 ,  4.08265701586 ,  10.025271142 ,  17.6552033394 ,  13.2237366115 ,  5.47613895792 ,  0.999758928022 ,  1.58711989743 ,  2.0055282384 ,  2.1762483477 ,  1.73805082226 ,  0.925511037505 ,  0.282112288671 ,  0.995161099272 ,  2.40809123039 ,  0.705628833421 ,  17.0599761833 ,  10.1265743368 ,  1.23352766927 ,  1.66678462689 ,  4.12599619707 ,  4.20207804778 ,  5.08359786969 ,  3.37620211195 ,  5.44981027191 ,  2.60980002033 ,  0.605548177339 ,  1.62003962564 ,  3.65787863662 ,  5.44122935535 ,  1.24536231033 ,  4.97688619599 ,  2.29404395639 ,  16.5215749878 ,  16.477812214 ,  1.19479874357 ,  1.94751724097 ,  1.51747847861 ,  1.51337594337 ,  1.44757955587 ,  9.07519900694 ,  19.3205133236 ,  20.694716424 ,  0.449683376685 ,  1.26411640809 ,  2.10787602288 ,  0.669587301723 ,  0.634732322848 ,  0.723407961919 ,  1.89994612636 ,  1.8721431028 ,  0.825934537096 ,  1.87151292795 ,  3.19554801719 ,  1.21571822811 ,  0.635516491212 ,  0.871681752366 ,  0.347386594626 ,  0.472373830237 ,  0.532537463031 ,  5.65389737685 ,  1.34112885695 ,  0.922471754123 ,  2.94232225242 ,  0.774735359774 ,  0.645233042387 ,  0.902233503422 ,  2.06389199982 ,  0.941009226952 ,  4.7263331494 ,  7.78727529189 ,  28.4892345328 ,  22.8343622882 ,  0.454738553954 ,  0.51763448394 ,  0.629275560727 ,  0.337179453659 ,  0.394342062886 ,  0.483797390261 ,  0.481537033558 ,  1.19820899855 ]
    traf1 = [ 5.57239074764 ,  3.94463027271 ,  9.82187627072 ,  17.6637747418 ,  12.8078583137 ,  4.98896303131 ,  1.26044276869 ,  0.761849528199 ,  1.47718154615 ,  1.99213178602 ,  0.355741634508 ,  0.442311675517 ,  0.201809214452 ,  0.365020546082 ,  1.86369509938 ,  1.21801716357 ,  17.3881640899 ,  10.0320657159 ,  1.19726139889 ,  0.571420452441 ,  4.18142674465 ,  4.31058266454 ,  4.78018596297 ,  3.28576012223 ,  5.85050167165 ,  2.70739575173 ,  0.421337122472 ,  0.496463139899 ,  3.28355012424 ,  5.34929069964 ,  1.23804118318 ,  5.1420406618 ,  2.29927835034 ,  16.6873265139 ,  16.435394319 ,  0.376377976438 ,  2.72118541206 ,  1.47441761914 ,  1.34107164574 ,  1.61090260254 ,  8.87085478669 ,  17.7458935979 ,  27.6341018413 ,  2.14146348178 ,  1.13110076716 ,  4.08295899489 ,  0.65407135873 ,  3.97976284942 ,  3.14643530165 ,  1.98292621383 ,  4.61209657007 ,  0.748269981314 ,  1.58598371097 ,  0.77671194209 ,  0.285708092695 ,  0.437693416825 ,  0.925092915916 ,  0.31978273665 ,  0.403664081267 ,  0.532834639837 ,  0.4830288381 ,  0.918549790777 ,  0.761965852527 ,  0.754987466884 ,  0.439885758927 ,  0.675604906839 ,  0.835107677073 ,  1.18418686689 ,  0.84401725515 ,  4.88466318727 ,  7.63040683748 ,  29.0859820268 ,  22.6893571698 ,  0.442177546547 ,  0.523817661237 ,  0.650807723773 ,  0.340159154395 ,  0.304019809615 ,  0.426296869885 ,  0.42629119812 ,  0.426278103343 ]
    ha1 = [ 5.89444444444 ,  3.18777777778 ,  7.46333333333 ,  12.2277777778 ,  10.2844444444 ,  5.73333333333 ,  2.99111111111 ,  2.57888888889 ,  1.78666666667 ,  2.32666666667 ,  1.96 ,  3.97 ,  2.43666666667 ,  1.53333333333 ,  1.89 ,  3.62222222222 ,  12.4722222222 ,  8.70666666667 ,  1.69333333333 ,  1.95555555556 ,  5.05 ,  6.12 ,  4.72222222222 ,  3.77 ,  4.95777777778 ,  2.05555555556 ,  0.568888888889 ,  1.67777777778 ,  3.78333333333 ,  5.91666666667 ,  4.59666666667 ,  4.94666666667 ,  3.41333333333 ,  12.1044444444 ,  13.5255555556 ,  1.02444444444 ,  2.25555555556 ,  2.05888888889 ,  2.31555555556 ,  4.59666666667 ,  11.9833333333 ,  19.9788888889 ,  25.1888888889 ,  10.6177777778 ,  19.3833333333 ,  15.0088888889 ,  15.6722222222 ,  13.2555555556 ,  16.0633333333 ,  17.7844444444 ,  20.9 ,  14.3088888889 ,  18.3566666667 ,  10.78 ,  4.71666666667 ,  0.507777777778 ,  0.907777777778 ,  0.5 ,  0.393333333333 ,  0.724444444444 ,  0.57 ,  0.822222222222 ,  0.903333333333 ,  0.822222222222 ,  0.57 ,  0.726666666667 ,  0.713333333333 ,  0.762222222222 ,  0.866666666667 ,  3.43666666667 ,  6.21888888889 ,  20.6988888889 ,  16.4911111111 ,  0.646666666667 ,  0.506666666667 ,  0.613333333333 ,  0.374444444444 ,  0.343333333333 ,  0.432222222222 ,  0.432222222222 ,  0.432222222222 ]
    
    time = []
    traf= []
    occ = []
    ha = []
    for time10 in range(160,240,10):
        time01 = time10 / 10.0
        
        for i in range(len(time1)):
            if time1[i] == time01:
                if time1[i] == 21:
                    print (traf1[i]-occ1[i])/traf1[i]
                time.append(time1[i])
                traf.append(traf1[i])
                occ.append(occ1[i])
                ha.append(ha1[i])
                break
        
    time.append(time1[-1])
    traf.append(traf1[-1])
    occ.append(occ1[-1])
    ha.append(ha[-1])
    print 'MEAN - occ p: ',np.mean(occ)
    print 'MEAN - occ t:', np.mean(traf)
    print 'MEAN - traf t:', np.mean(ha)
    
    #xlim(20, 22)
    ylim(0,23)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    errorDis1.set_xlabel('Time',size=50)
    errorDis1.set_ylabel('MSE',size=50)
    errorDis1.plot(time,ha,'^r--',label='TP-T', linewidth=lwidth, markersize=trisize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)
    #errorDis1.plot(time,occ,'*r--',label='TPO-P', linewidth=2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')
    errorDis1.plot(time,traf,'pb-',label='TPO-T', linewidth = lwidth, markersize=psize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)    
    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':legendsize}) 
    plt.grid(True, linewidth = gridwidth)
    plt.show()
    
elif graph == 33.2:#Lin Cheung - TPO-T VS TP-T
#TPO-T v.s. TP-T: MSE as a function of time (b) 20:00-22:00
    time1 = [ 16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
    occ1 = [ 5.49903483304 ,  4.08265701586 ,  10.025271142 ,  17.6552033394 ,  13.2237366115 ,  5.47613895792 ,  0.999758928022 ,  1.58711989743 ,  2.0055282384 ,  2.1762483477 ,  1.73805082226 ,  0.925511037505 ,  0.282112288671 ,  0.995161099272 ,  2.40809123039 ,  0.705628833421 ,  17.0599761833 ,  10.1265743368 ,  1.23352766927 ,  1.66678462689 ,  4.12599619707 ,  4.20207804778 ,  5.08359786969 ,  3.37620211195 ,  5.44981027191 ,  2.60980002033 ,  0.605548177339 ,  1.62003962564 ,  3.65787863662 ,  5.44122935535 ,  1.24536231033 ,  4.97688619599 ,  2.29404395639 ,  16.5215749878 ,  16.477812214 ,  1.19479874357 ,  1.94751724097 ,  1.51747847861 ,  1.51337594337 ,  1.44757955587 ,  9.07519900694 ,  19.3205133236 ,  20.694716424 ,  0.449683376685 ,  1.26411640809 ,  2.10787602288 ,  0.669587301723 ,  0.634732322848 ,  0.723407961919 ,  1.89994612636 ,  1.8721431028 ,  0.825934537096 ,  1.87151292795 ,  3.19554801719 ,  1.21571822811 ,  0.635516491212 ,  0.871681752366 ,  0.347386594626 ,  0.472373830237 ,  0.532537463031 ,  5.65389737685 ,  1.34112885695 ,  0.922471754123 ,  2.94232225242 ,  0.774735359774 ,  0.645233042387 ,  0.902233503422 ,  2.06389199982 ,  0.941009226952 ,  4.7263331494 ,  7.78727529189 ,  28.4892345328 ,  22.8343622882 ,  0.454738553954 ,  0.51763448394 ,  0.629275560727 ,  0.337179453659 ,  0.394342062886 ,  0.483797390261 ,  0.481537033558 ,  1.19820899855 ]
    traf1 = [ 5.57239074764 ,  3.94463027271 ,  9.82187627072 ,  17.6637747418 ,  12.8078583137 ,  4.98896303131 ,  1.26044276869 ,  0.761849528199 ,  1.47718154615 ,  1.99213178602 ,  0.355741634508 ,  0.442311675517 ,  0.201809214452 ,  0.365020546082 ,  1.86369509938 ,  1.21801716357 ,  17.3881640899 ,  10.0320657159 ,  1.19726139889 ,  0.571420452441 ,  4.18142674465 ,  4.31058266454 ,  4.78018596297 ,  3.28576012223 ,  5.85050167165 ,  2.70739575173 ,  0.421337122472 ,  0.496463139899 ,  3.28355012424 ,  5.34929069964 ,  1.23804118318 ,  5.1420406618 ,  2.29927835034 ,  16.6873265139 ,  16.435394319 ,  0.376377976438 ,  2.72118541206 ,  1.47441761914 ,  1.34107164574 ,  1.61090260254 ,  8.87085478669 ,  17.7458935979 ,  27.6341018413 ,  2.14146348178 ,  1.13110076716 ,  4.08295899489 ,  0.65407135873 ,  3.97976284942 ,  3.14643530165 ,  1.98292621383 ,  4.61209657007 ,  0.748269981314 ,  1.58598371097 ,  0.77671194209 ,  0.285708092695 ,  0.437693416825 ,  0.925092915916 ,  0.31978273665 ,  0.403664081267 ,  0.532834639837 ,  0.4830288381 ,  0.918549790777 ,  0.761965852527 ,  0.754987466884 ,  0.439885758927 ,  0.675604906839 ,  0.835107677073 ,  1.18418686689 ,  0.84401725515 ,  4.88466318727 ,  7.63040683748 ,  29.0859820268 ,  22.6893571698 ,  0.442177546547 ,  0.523817661237 ,  0.650807723773 ,  0.340159154395 ,  0.304019809615 ,  0.426296869885 ,  0.42629119812 ,  0.426278103343 ]
    ha1 = [ 5.89444444444 ,  3.18777777778 ,  7.46333333333 ,  12.2277777778 ,  10.2844444444 ,  5.73333333333 ,  2.99111111111 ,  2.57888888889 ,  1.78666666667 ,  2.32666666667 ,  1.96 ,  3.97 ,  2.43666666667 ,  1.53333333333 ,  1.89 ,  3.62222222222 ,  12.4722222222 ,  8.70666666667 ,  1.69333333333 ,  1.95555555556 ,  5.05 ,  6.12 ,  4.72222222222 ,  3.77 ,  4.95777777778 ,  2.05555555556 ,  0.568888888889 ,  1.67777777778 ,  3.78333333333 ,  5.91666666667 ,  4.59666666667 ,  4.94666666667 ,  3.41333333333 ,  12.1044444444 ,  13.5255555556 ,  1.02444444444 ,  2.25555555556 ,  2.05888888889 ,  2.31555555556 ,  4.59666666667 ,  11.9833333333 ,  19.9788888889 ,  25.1888888889 ,  10.6177777778 ,  19.3833333333 ,  15.0088888889 ,  15.6722222222 ,  13.2555555556 ,  16.0633333333 ,  17.7844444444 ,  20.9 ,  14.3088888889 ,  18.3566666667 ,  10.78 ,  4.71666666667 ,  0.507777777778 ,  0.907777777778 ,  0.5 ,  0.393333333333 ,  0.724444444444 ,  0.57 ,  0.822222222222 ,  0.903333333333 ,  0.822222222222 ,  0.57 ,  0.726666666667 ,  0.713333333333 ,  0.762222222222 ,  0.866666666667 ,  3.43666666667 ,  6.21888888889 ,  20.6988888889 ,  16.4911111111 ,  0.646666666667 ,  0.506666666667 ,  0.613333333333 ,  0.374444444444 ,  0.343333333333 ,  0.432222222222 ,  0.432222222222 ,  0.432222222222 ]
    
    time = []
    traf= []
    occ = []
    ha = []
    for time10 in range(160,240,1):
        time01 = time10 / 10.0
        
        for i in range(len(time1)):
            if time1[i] == time01:
                if time1[i] == 21:
                    print (traf1[i]-occ1[i])/traf1[i]
                time.append(time1[i])
                traf.append(traf1[i])
                occ.append(occ1[i])
                ha.append(ha1[i])
                break
        
    time.append(time1[-1])
    traf.append(traf1[-1])
    occ.append(occ1[-1])
    ha.append(ha[-1])
    print 'MEAN - occ p: ',np.mean(occ)
    print 'MEAN - occ t:', np.mean(traf)
    print 'MEAN - traf t:', np.mean(ha)
    
    xlim(20, 22)
    ylim(0,30)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    errorDis1.set_xlabel('Time',size=xlabelsize)
    errorDis1.set_ylabel('MSE',size=ylabelsize)
    errorDis1.plot(time,ha,'^r--',label='TP-T', linewidth=lwidth, markersize=trisize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)
    #errorDis1.plot(time,occ,'*r--',label='TPO-P', linewidth=2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')
    errorDis1.plot(time,traf,'pb-',label='TPO-T', linewidth = lwidth, markersize=psize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)    
    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':legendsize}) 
    plt.grid(True, linewidth = lwidth)
    plt.show()
elif graph == 34:#Lin Cheung - TPO-T VS TPO-P
#TPO-T v.s. TPO-P: MSE as a function of time.
    time1 = [ 16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
    occ1 = [ 5.49903483304 ,  4.08265701586 ,  10.025271142 ,  17.6552033394 ,  13.2237366115 ,  5.47613895792 ,  0.999758928022 ,  1.58711989743 ,  2.0055282384 ,  2.1762483477 ,  1.73805082226 ,  0.925511037505 ,  0.282112288671 ,  0.995161099272 ,  2.40809123039 ,  0.705628833421 ,  17.0599761833 ,  10.1265743368 ,  1.23352766927 ,  1.66678462689 ,  4.12599619707 ,  4.20207804778 ,  5.08359786969 ,  3.37620211195 ,  5.44981027191 ,  2.60980002033 ,  0.605548177339 ,  1.62003962564 ,  3.65787863662 ,  5.44122935535 ,  1.24536231033 ,  4.97688619599 ,  2.29404395639 ,  16.5215749878 ,  16.477812214 ,  1.19479874357 ,  1.94751724097 ,  1.51747847861 ,  1.51337594337 ,  1.44757955587 ,  9.07519900694 ,  19.3205133236 ,  20.694716424 ,  0.449683376685 ,  1.26411640809 ,  2.10787602288 ,  0.669587301723 ,  0.634732322848 ,  0.723407961919 ,  1.89994612636 ,  1.8721431028 ,  0.825934537096 ,  1.87151292795 ,  3.19554801719 ,  1.21571822811 ,  0.635516491212 ,  0.871681752366 ,  0.347386594626 ,  0.472373830237 ,  0.532537463031 ,  5.65389737685 ,  1.34112885695 ,  0.922471754123 ,  2.94232225242 ,  0.774735359774 ,  0.645233042387 ,  0.902233503422 ,  2.06389199982 ,  0.941009226952 ,  4.7263331494 ,  7.78727529189 ,  28.4892345328 ,  22.8343622882 ,  0.454738553954 ,  0.51763448394 ,  0.629275560727 ,  0.337179453659 ,  0.394342062886 ,  0.483797390261 ,  0.481537033558 ,  1.19820899855 ]
    traf1 = [ 5.57239074764 ,  3.94463027271 ,  9.82187627072 ,  17.6637747418 ,  12.8078583137 ,  4.98896303131 ,  1.26044276869 ,  0.761849528199 ,  1.47718154615 ,  1.99213178602 ,  0.355741634508 ,  0.442311675517 ,  0.201809214452 ,  0.365020546082 ,  1.86369509938 ,  1.21801716357 ,  17.3881640899 ,  10.0320657159 ,  1.19726139889 ,  0.571420452441 ,  4.18142674465 ,  4.31058266454 ,  4.78018596297 ,  3.28576012223 ,  5.85050167165 ,  2.70739575173 ,  0.421337122472 ,  0.496463139899 ,  3.28355012424 ,  5.34929069964 ,  1.23804118318 ,  5.1420406618 ,  2.29927835034 ,  16.6873265139 ,  16.435394319 ,  0.376377976438 ,  2.72118541206 ,  1.47441761914 ,  1.34107164574 ,  1.61090260254 ,  8.87085478669 ,  17.7458935979 ,  27.6341018413 ,  2.14146348178 ,  1.13110076716 ,  4.08295899489 ,  0.65407135873 ,  3.97976284942 ,  3.14643530165 ,  1.98292621383 ,  4.61209657007 ,  0.748269981314 ,  1.58598371097 ,  0.77671194209 ,  0.285708092695 ,  0.437693416825 ,  0.925092915916 ,  0.31978273665 ,  0.403664081267 ,  0.532834639837 ,  0.4830288381 ,  0.918549790777 ,  0.761965852527 ,  0.754987466884 ,  0.439885758927 ,  0.675604906839 ,  0.835107677073 ,  1.18418686689 ,  0.84401725515 ,  4.88466318727 ,  7.63040683748 ,  29.0859820268 ,  22.6893571698 ,  0.442177546547 ,  0.523817661237 ,  0.650807723773 ,  0.340159154395 ,  0.304019809615 ,  0.426296869885 ,  0.42629119812 ,  0.426278103343 ]
    ha1 = [ 5.89444444444 ,  3.18777777778 ,  7.46333333333 ,  12.2277777778 ,  10.2844444444 ,  5.73333333333 ,  2.99111111111 ,  2.57888888889 ,  1.78666666667 ,  2.32666666667 ,  1.96 ,  3.97 ,  2.43666666667 ,  1.53333333333 ,  1.89 ,  3.62222222222 ,  12.4722222222 ,  8.70666666667 ,  1.69333333333 ,  1.95555555556 ,  5.05 ,  6.12 ,  4.72222222222 ,  3.77 ,  4.95777777778 ,  2.05555555556 ,  0.568888888889 ,  1.67777777778 ,  3.78333333333 ,  5.91666666667 ,  4.59666666667 ,  4.94666666667 ,  3.41333333333 ,  12.1044444444 ,  13.5255555556 ,  1.02444444444 ,  2.25555555556 ,  2.05888888889 ,  2.31555555556 ,  4.59666666667 ,  11.9833333333 ,  19.9788888889 ,  25.1888888889 ,  10.6177777778 ,  19.3833333333 ,  15.0088888889 ,  15.6722222222 ,  13.2555555556 ,  16.0633333333 ,  17.7844444444 ,  20.9 ,  14.3088888889 ,  18.3566666667 ,  10.78 ,  4.71666666667 ,  0.507777777778 ,  0.907777777778 ,  0.5 ,  0.393333333333 ,  0.724444444444 ,  0.57 ,  0.822222222222 ,  0.903333333333 ,  0.822222222222 ,  0.57 ,  0.726666666667 ,  0.713333333333 ,  0.762222222222 ,  0.866666666667 ,  3.43666666667 ,  6.21888888889 ,  20.6988888889 ,  16.4911111111 ,  0.646666666667 ,  0.506666666667 ,  0.613333333333 ,  0.374444444444 ,  0.343333333333 ,  0.432222222222 ,  0.432222222222 ,  0.432222222222 ]
    
    time = []
    traf= []
    occ = []
    ha = []
    for time10 in range(160,240,10):
        time01 = time10 / 10.0
        
        for i in range(len(time1)):
            if time1[i] == time01:
                if time1[i] == 21:
                    print (traf1[i]-occ1[i])/traf1[i]
                time.append(time1[i])
                traf.append(traf1[i])
                occ.append(occ1[i])
                ha.append(ha1[i])
                break
        
    time.append(time1[-1])
    traf.append(traf1[-1])
    occ.append(occ1[-1])
    ha.append(ha[-1])
    print 'MEAN - occ p: ',np.mean(occ)
    print 'MEAN - occ t:', np.mean(traf)
    #print 'MEAN - traf t:', np.mean(ha)
    
    #xlim(20, 22)
    ylim(0,12)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    errorDis1.set_xlabel('Time',size=xlabelsize)
    errorDis1.set_ylabel('MSE',size=ylabelsize)
    #errorDis1.plot(time,ha,'.b--',label='TP-T', linewidth=2.5, markersize=60,markerfacecolor='b',markeredgecolor='b')
    errorDis1.plot(time,occ,'pb--',label='TPO-P', linewidth=lwidth, markersize=psize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)
    errorDis1.plot(time,traf,'or-',label='TPO-T', linewidth = lwidth, markersize=osize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)    
    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':legendsize}) 
    plt.grid(True, linewidth = gridwidth)
    plt.show()

elif graph == 35:#Lin Cheung - TPO-P VS TP-P, 3 months training, 1 months testing
#TPO-P v.s. TP-P: MSE as a function of time 1624
    time1 = [ 16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
    occ1 = [ 5.49903483304 ,  4.08265701586 ,  10.025271142 ,  17.6552033394 ,  13.2237366115 ,  5.47613895792 ,  0.999758928022 ,  1.58711989743 ,  2.0055282384 ,  2.1762483477 ,  1.73805082226 ,  0.925511037505 ,  0.282112288671 ,  0.995161099272 ,  2.40809123039 ,  0.705628833421 ,  17.0599761833 ,  10.1265743368 ,  1.23352766927 ,  1.66678462689 ,  4.12599619707 ,  4.20207804778 ,  5.08359786969 ,  3.37620211195 ,  5.44981027191 ,  2.60980002033 ,  0.605548177339 ,  1.62003962564 ,  3.65787863662 ,  5.44122935535 ,  1.24536231033 ,  4.97688619599 ,  2.29404395639 ,  16.5215749878 ,  16.477812214 ,  1.19479874357 ,  1.94751724097 ,  1.51747847861 ,  1.51337594337 ,  1.44757955587 ,  9.07519900694 ,  19.3205133236 ,  20.694716424 ,  0.449683376685 ,  1.26411640809 ,  2.10787602288 ,  0.669587301723 ,  0.634732322848 ,  0.723407961919 ,  1.89994612636 ,  1.8721431028 ,  0.825934537096 ,  1.87151292795 ,  3.19554801719 ,  1.21571822811 ,  0.635516491212 ,  0.871681752366 ,  0.347386594626 ,  0.472373830237 ,  0.532537463031 ,  5.65389737685 ,  1.34112885695 ,  0.922471754123 ,  2.94232225242 ,  0.774735359774 ,  0.645233042387 ,  0.902233503422 ,  2.06389199982 ,  0.941009226952 ,  4.7263331494 ,  7.78727529189 ,  28.4892345328 ,  22.8343622882 ,  0.454738553954 ,  0.51763448394 ,  0.629275560727 ,  0.337179453659 ,  0.394342062886 ,  0.483797390261 ,  0.481537033558 ,  1.19820899855 ]
    traf1 = [ 5.67034912902 ,  3.4439361993 ,  7.41826198014 ,  12.2542358573 ,  9.28203790162 ,  5.86881015359 ,  2.74121015261 ,  2.43203836572 ,  1.56769559353 ,  2.29906347435 ,  2.19519642645 ,  3.76270787453 ,  2.60791922839 ,  1.93977440675 ,  2.22490763293 ,  2.1285169511 ,  12.0268924432 ,  8.75495020281 ,  1.51164982502 ,  1.7262822417 ,  3.69702882167 ,  5.17441326713 ,  3.91906176782 ,  3.24130229581 ,  4.36181903615 ,  2.06036518521 ,  0.863133464832 ,  1.88208246395 ,  3.79041757886 ,  6.08279658256 ,  4.64154595031 ,  5.09382003718 ,  3.59051814473 ,  11.7662128781 ,  13.3825697739 ,  1.04480363183 ,  1.75460440286 ,  1.92492904929 ,  2.35518835321 ,  4.39700066378 ,  10.5874467744 ,  19.0551710251 ,  22.02362077 ,  10.7710691987 ,  25.3702078592 ,  13.8407086908 ,  11.7838011769 ,  9.45152399524 ,  7.67663240032 ,  3.53185195857 ,  6.26581398446 ,  10.2999464928 ,  27.4767195669 ,  1.20030632239 ,  1.06412381931 ,  0.75215874301 ,  0.797127220553 ,  0.418335430494 ,  0.387485269692 ,  0.746547344465 ,  2.30934764997 ,  1.13401107389 ,  1.18226625051 ,  2.4639587413 ,  1.03275962596 ,  1.04058915034 ,  1.02561195806 ,  0.717555965534 ,  0.752406516688 ,  3.35712889926 ,  6.13955660405 ,  20.7402572695 ,  16.4197585943 ,  0.647778847426 ,  0.500274852399 ,  0.612234609617 ,  0.396466438523 ,  0.328438554444 ,  0.458621687999 ,  0.457650006252 ,  0.781134210783 ]

    time = []
    traf= []
    occ = []
    for time10 in range(160,240,10):
        time01 = time10 / 10.0
        for i in range(len(time1)):
            if time1[i] == time01:
                if time1[i] == 21.2:
                    print traf1[i], occ1[i]
                    print (traf1[i]-occ1[i])/traf1[i]
                time.append(time1[i])
                traf.append(traf1[i])
                occ.append(occ1[i])
                break
        
    time.append(time1[-1])
    traf.append(traf1[-1])
    occ.append(occ1[-1])
    print 'MEAN - occ: ',np.mean(occ)
    print 'MEAN - traf:', np.mean(traf)
    
    xlim(16, 24)
    ylim(0,12)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    errorDis1.set_xlabel('Time',size=xlabelsize)
    errorDis1.set_ylabel('MSE',size=ylabelsize)
    errorDis1.plot(time,occ,'ob-',label='TPO-P', linewidth=lwidth, markersize=osize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)
    errorDis1.plot(time,traf,'*r--',label='TP-P', linewidth = lwidth, markersize=starsize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)    
    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':legendsize}) 
    plt.grid(True, linewidth = gridwidth)
    plt.show()    
elif graph == 35.1:#Lin Cheung - TPO-P VS TP-P, 3 months training, 1 months testing
#TPO-P v.s. TP-P: MSE as a function of time 2022
    time1 = [ 16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
    occ1 = [ 5.49903483304 ,  4.08265701586 ,  10.025271142 ,  17.6552033394 ,  13.2237366115 ,  5.47613895792 ,  0.999758928022 ,  1.58711989743 ,  2.0055282384 ,  2.1762483477 ,  1.73805082226 ,  0.925511037505 ,  0.282112288671 ,  0.995161099272 ,  2.40809123039 ,  0.705628833421 ,  17.0599761833 ,  10.1265743368 ,  1.23352766927 ,  1.66678462689 ,  4.12599619707 ,  4.20207804778 ,  5.08359786969 ,  3.37620211195 ,  5.44981027191 ,  2.60980002033 ,  0.605548177339 ,  1.62003962564 ,  3.65787863662 ,  5.44122935535 ,  1.24536231033 ,  4.97688619599 ,  2.29404395639 ,  16.5215749878 ,  16.477812214 ,  1.19479874357 ,  1.94751724097 ,  1.51747847861 ,  1.51337594337 ,  1.44757955587 ,  9.07519900694 ,  19.3205133236 ,  20.694716424 ,  0.449683376685 ,  1.26411640809 ,  2.10787602288 ,  0.669587301723 ,  0.634732322848 ,  0.723407961919 ,  1.89994612636 ,  1.8721431028 ,  0.825934537096 ,  1.87151292795 ,  3.19554801719 ,  1.21571822811 ,  0.635516491212 ,  0.871681752366 ,  0.347386594626 ,  0.472373830237 ,  0.532537463031 ,  5.65389737685 ,  1.34112885695 ,  0.922471754123 ,  2.94232225242 ,  0.774735359774 ,  0.645233042387 ,  0.902233503422 ,  2.06389199982 ,  0.941009226952 ,  4.7263331494 ,  7.78727529189 ,  28.4892345328 ,  22.8343622882 ,  0.454738553954 ,  0.51763448394 ,  0.629275560727 ,  0.337179453659 ,  0.394342062886 ,  0.483797390261 ,  0.481537033558 ,  1.19820899855 ]
    traf1 = [ 5.67034912902 ,  3.4439361993 ,  7.41826198014 ,  12.2542358573 ,  9.28203790162 ,  5.86881015359 ,  2.74121015261 ,  2.43203836572 ,  1.56769559353 ,  2.29906347435 ,  2.19519642645 ,  3.76270787453 ,  2.60791922839 ,  1.93977440675 ,  2.22490763293 ,  2.1285169511 ,  12.0268924432 ,  8.75495020281 ,  1.51164982502 ,  1.7262822417 ,  3.69702882167 ,  5.17441326713 ,  3.91906176782 ,  3.24130229581 ,  4.36181903615 ,  2.06036518521 ,  0.863133464832 ,  1.88208246395 ,  3.79041757886 ,  6.08279658256 ,  4.64154595031 ,  5.09382003718 ,  3.59051814473 ,  11.7662128781 ,  13.3825697739 ,  1.04480363183 ,  1.75460440286 ,  1.92492904929 ,  2.35518835321 ,  4.39700066378 ,  10.5874467744 ,  19.0551710251 ,  22.02362077 ,  10.7710691987 ,  25.3702078592 ,  13.8407086908 ,  11.7838011769 ,  9.45152399524 ,  7.67663240032 ,  3.53185195857 ,  6.26581398446 ,  10.2999464928 ,  27.4767195669 ,  1.20030632239 ,  1.06412381931 ,  0.75215874301 ,  0.797127220553 ,  0.418335430494 ,  0.387485269692 ,  0.746547344465 ,  2.30934764997 ,  1.13401107389 ,  1.18226625051 ,  2.4639587413 ,  1.03275962596 ,  1.04058915034 ,  1.02561195806 ,  0.717555965534 ,  0.752406516688 ,  3.35712889926 ,  6.13955660405 ,  20.7402572695 ,  16.4197585943 ,  0.647778847426 ,  0.500274852399 ,  0.612234609617 ,  0.396466438523 ,  0.328438554444 ,  0.458621687999 ,  0.457650006252 ,  0.781134210783 ]

    time = []
    traf= []
    occ = []
    for time10 in range(200,220,1):
        time01 = time10 / 10.0
        for i in range(len(time1)):
            if time1[i] == time01:
                if time1[i] == 21.2:
                    print traf1[i], occ1[i]
                    print (traf1[i]-occ1[i])/traf1[i]
                time.append(time1[i])
                traf.append(traf1[i])
                occ.append(occ1[i])
                break
        
    time.append(time1[-1])
    traf.append(traf1[-1])
    occ.append(occ1[-1])
    print 'MEAN - occ: ',np.mean(occ)
    print 'MEAN - traf:', np.mean(traf)
    
    xlim(20, 22)
    #ylim(0,20)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    errorDis1.set_xlabel('Time',size=xlabelsize)
    errorDis1.set_ylabel('MSE',size=ylabelsize)
    errorDis1.plot(time,occ,'ob-',label='TPO-P', linewidth=lwidth, markersize=osize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)
    errorDis1.plot(time,traf,'*r--',label='TP-P', linewidth = lwidth, markersize=starsize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)    
    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':legendsize}) 
    plt.grid(True, linewidth = gridwidth)
    plt.show()
    
if graph == 1:
     a = 1
#if graph == 1:#TPO-PT VS TP-P in EV, 3 months training, 1 month testing
#    time = [20.0, 20.1, 20.2, 20.3, 20.4, 20.5, 20.6, 20.7, 20.8, 20.9, 21.0, 21.1, 21.2, 21.3, 21.4, 21.5, 21.6, 21.7, 21.8,21.9,22.0]
#    occ = [4.43856361049, 3.45269221205, 1.9894396961, 1.9407839505, 3.34191535315, 2.47722156475, 1.82952567828, 1.2440208276, 1.20274150027, 2.27107805172, 2.64679454419, 2.10666487984, 2.73142001716, 1.4004144278, 4.88139748, 4.64862957209, 1.94741566563, 3.32108394665, 5.01034076233, 1.90099875357, 3.14829617202]
#    ha = [4.89016012678, 4.0033745933, 2.76519358429, 1.44947016868, 4.72180045316, 3.88661818338, 1.43312481824, 1.35107883556, 1.7456964458, 2.6674446706, 5.48747918328, 4.49054716774, 4.09614888051, 4.69560730652, 4.65258696117, 3.88204650803, 2.83935676091, 4.5961029574, 4.59945065179, 2.17088625344, 3.9071037946]
#
#    print np.mean(occ)
#    print np.mean(ha)
#    i=0
#    s = []
#    for i in range(len(occ)):
#        print time[i]
#        if ha[i]-occ[i]:
#            t = (ha[i]-occ[i])/ha[i]
#        else:
#            t = (ha[i]-occ[i])/occ[i]
#        print t
#        s.append(t)
#    print 'mean t', np.mean(s)
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    errorDis1.set_xlabel('time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,ha,'*r--',label='TP-P', linewidth=2.5, markersize=25,markerfacecolor='r',markeredgecolor='r')
#    errorDis1.plot(time,occ,'sk-',label='TPO-PT', linewidth = 2.5, markersize=20,markerfacecolor='k',markeredgecolor='k')    
#    
#    errorDis1.legend(bbox_to_anchor=(0.37, 1), loc=0, borderaxespad=0.,prop={'size':40}) 
#    plt.show()
#elif graph == 2:#TPO-TT VS TP-T in EV, 1 months training, 3 months testing
#    time = [20.0, 20.1, 20.2, 20.3, 20.4, 20.5, 20.6, 20.7, 20.8, 20.9, 21.0, 21.1, 21.2, 21.3, 21.4, 21.5, 21.6, 21.7, 21.8,21.9,22.0]
#    occ = [6.53713071169, 3.6100915748, 2.98813230058, 2.04783764553, 2.60001717019, 1.67795651189, 2.92481559366, 1.78590828584, 0.883847519117, 2.09792479628, 2.77275673653, 6.82743125648, 2.05469069428, 2.51612903226, 5.88560779047, 3.49943148138, 2.40634975286, 3.52572148133, 25.2955480928, 1.86695266159, 12.08213843]
#    ha = [5.68783694938, 5.93011176857, 6.64806048652, 5.23185404339, 16.66617357, 9.43609467456, 2.10019723866, 2.68957922419, 4.42330703485, 9.30023011177, 10.2113412229, 7.99375410914, 8.58267587114, 10.5413872452, 5.42728468113, 6.30785667324, 8.48868265988, 9.88826240799, 8.60621301775, 4.16111111111, 5.93625904011]
#    
#    print np.mean(occ)
#    print np.mean(ha)
#    i=0
#    s = []
#    for i in range(len(occ)):
#        print time[i]
#        if ha[i]-occ[i]:
#            t = (ha[i]-occ[i])/ha[i]
#        else:
#            t = (ha[i]-occ[i])/occ[i]
#        print t
#        s.append(t)
#    print 'mean t', np.mean(s)
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(45)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(45)
#    errorDis1.set_xlabel('time',size=45)
#    errorDis1.set_ylabel('MSE',size=45)
#    errorDis1.plot(time,ha,'*r--',label='TPO-TT', linewidth=2.5, markersize=25,markerfacecolor='r',markeredgecolor='r')
#    errorDis1.plot(time,occ,'sk-',label='TP-T', linewidth = 2.5, markersize=20,markerfacecolor='k',markeredgecolor='k')        
#    errorDis1.legend(bbox_to_anchor=(0.47, 1), loc=0, borderaxespad=0.,prop={'size':45}) 
#    plt.show()
elif graph == 3:#different areas
    area = [1,4,36,144]
    corrWd = [0.63432, 0.53022, 0.42718, 0.37254]
    corr = [0.60034, 0.51766, 0.4261, 0.31872]
    corrWk = [0.41212, 0.38766, 0.33548, 0.251]
    
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    errorDis1.set_xlabel('Area (km$^2$)',size=50)
    errorDis1.set_ylabel('Correlation',size=50)
    errorDis1.plot(area,corrWd,'*r--',label='Weekdays',linewidth=3.5, markersize=40,markerfacecolor='r',markeredgecolor='r')
    errorDis1.plot(area,corr,'sk-',label='All days',linewidth=3.5, markersize=30,markerfacecolor='k',markeredgecolor='k')
    #errorDis1.plot(area,corrWk,'^b--',label='corr rand in weekend',markersize=36,markerfacecolor='w',markeredgecolor='b')
    xlim(-5,150)
    errorDis1.legend(bbox_to_anchor=(0.47, 1), loc=0, borderaxespad=0.,prop={'size':40}) 
    plt.grid(True, linewidth = 3)
    plt.show()
#elif graph == 4:#LWR-O VS HA-T in AN & EV, 1 months training, 3 months testing
##    print "time=[",
##    for i in range(120, 221,1):
##        print i/10.0,', ',
##    print "]"
#        
#    time=[ 12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    occ = [4.80490149444, 8.14703674908, 2.85123026634, 4.55860899603, 3.8336676661, 6.30110432527, 5.03219707113, 16.0849484556, 2.45380197659, 1.51388666902, 1.93585020619, 1.3686990979, 1.79589742566, 1.87033918163, 2.1347025076, 2.2107307156, 2.00306285687, 1.42081441613, 2.25800807735, 2.64485987569, 1.57499868863, 1.46970759794, 2.14947144609, 1.71494163207, 1.42890994211, 1.42921051412, 2.56822992844, 2.57491186436, 2.24887120575, 2.45006028512, 2.29030145929, 2.20357005345, 2.37107043373, 1.79574736231, 2.16022404774, 1.98744860352, 2.76517152188, 4.46927922498, 2.28449240154, 3.50934876462, 3.43002757824, 3.57237690717, 3.74711858238, 5.269319282, 1.91724186837, 2.37274846701, 2.74429162252, 4.33152677022, 5.19693037903, 4.14178144568, 1.3717559139, 5.10188377373, 15.3319173641, 2.72503824835, 4.43168328127, 2.77228298597, 4.00000047582, 2.78321470794, 4.4266595246, 12.3738675504, 2.236276874, 3.536240637, 2.171940512, 1.802329550, 3.11447942993, 5.58415288653, 14.1053921526, 8.57341416642, 3.15187293847, 2.76141329912, 4.07248264248, 1.993204848, 2.914736165, 2.205868572, 2.94563619851, 5.42395269199, 29.078302079, 14.0218517407, 20.5513224061, 8.07341836515, 6.537130711, 3.61009157, 2.988132300, 2.04783764553, 2.60001717019, 1.67795651189, 2.92481559366, 1.78590828584, 0.883847519117, 2.09792479628, 2.77275673653, 6.827431256, 2.054690694, 4.189633638, 5.88560779047, 3.49943148138, 2.40634975286, 3.75794501409, 3.99229239053, 1.58456767841, 3.45776889589]
#    ha = [5.87370151216, 4.64280078895, 11.4609138725, 12.0109467456, 3.86985535832, 2.52258382643, 12.7899408284, 12.5566732413, 10.8793228139, 8.65, 3.78099934254, 10.8026298488, 7.08011176857, 13.9724194609, 8.85548980934, 10.6792899408, 1.92024983563, 8.36048652202, 10.8907626561, 12.25539119, 10.9333333333, 8.59119000657, 3.31245890861, 6.69470742932, 5.44224194609, 8.9033530572, 12.6318211703, 8.3892504931, 12.5443786982, 11.1166666667, 12.7669296515, 5.2476660092, 10.1997698882, 7.16147271532, 14.1570348455, 12.6276134122, 6.18612754767, 8.52889546351, 6.97771203156, 5.6845496384, 9.83563445102, 4.45420775805, 7.94322813938, 11.9659763314, 5.65262984878, 11.1993754109, 5.48007889546, 3.85, 7.94165023011, 
#          5.82501643655, 13.3653188692, 12.3447074293, 8.30325443787, 9.31564760026, 1.98583168968, 5.0335634451, 3.27419460881, 5.45749506903, 9.69375410914, 10.5053583169, 5.52222222222, 8.88484549638, 4.34707429323, 7.59566074951, 11.1198224852, 3.9771860618, 14.2973701512, 5.28652202498, 9.70667324129, 9.508382643, 12.7611111111, 8.00660749507, 11.3608809993, 15.2407955293, 4.07712031558, 11.8497370151, 13.1331032216, 11.6076265615, 9.47376725838, 5.78333333333, 5.68783694938, 5.93011176857, 6.64806048652, 5.23185404339, 16.66617357, 9.43609467456, 2.10019723866, 2.68957922419, 4.42330703485, 9.30023011177, 10.2113412229, 7.99375410914, 8.58267587114, 10.5413872452, 5.42728468113, 6.30785667324, 8.36650230112, 7.07001972387, 8.60621301775, 4.16111111111, 5.93625904011]
#    
#    print np.mean(occ)
#    print np.mean(ha)
#    i=0
#    s = []
#    for i in range(len(occ)):
#        print time[i]
#        if ha[i]-occ[i]:
#            t = (ha[i]-occ[i])/ha[i]
#        else:
#            t = (ha[i]-occ[i])/occ[i]
#        print t
#        s.append(t)
#    print 'mean t', np.mean(s)
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(45)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(45)
#    errorDis1.set_xlabel('time',size=45)
#    errorDis1.set_ylabel('MSE',size=45)
#    errorDis1.plot(time,ha,'vr--',label='HA-T MSE', markersize=9,markerfacecolor='w',markeredgecolor='r')
#    errorDis1.plot(time,occ,'ok-',label='LWR-O MSE', markersize=9,markerfacecolor='w',markeredgecolor='k')
#    errorDis1.legend(bbox_to_anchor=(0.47, 1), loc=0, borderaxespad=0.,prop={'size':45}) 
#    plt.show()
#elif graph == 5:
#    time =[20.0, 20.3, 20.6, 20.9, 21.2, 21.5, 21.8]
#    occ = [5.99981955947, 1.21704417553, 2.92000814316, 2.3064119861, 3.66744605193, 2.25605668656, 1.76042639933]
#    ha = [12.2444136657, 19.0150815636, 31.9611265005, 27.4888888889, 32.7866420437, 2.46195752539, 3.22348414897]
#
#    print np.mean(occ)
#    print np.mean(ha)
#    i=0
#    s = []
#    for i in range(len(occ)):
#        print time[i]
#        if ha[i]-occ[i]:
#            t = (ha[i]-occ[i])/ha[i]
#        else:
#            t = (ha[i]-occ[i])/occ[i]
#        print t
#        s.append(t)
#    print 'mean t', np.mean(s)
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(45)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(45)
#    errorDis1.set_xlabel('time',size=45)
#    errorDis1.set_ylabel('MSE',size=45)
#    errorDis1.plot(time,ha,'vr--',label='HA-T MSE', markersize=9,markerfacecolor='w',markeredgecolor='r')
#    errorDis1.plot(time,occ,'ok-',label='LWR-O MSE', markersize=9,markerfacecolor='w',markeredgecolor='k')
#    errorDis1.legend(prop={'size':45}) 
#    plt.show()
#elif graph == 6:#low correlation - dense T dense O VS sparse T dense O
#    time = [20.0, 20.3, 20.6, 20.9, 21.2, 21.5, 21.8]
#    dtdo = [126.92176806, 404.480387719, 152.429718212, 166.158120593, 126.556769331, 36.3044140799, 43.2304422718]
#    stdo = [126.92176806, 218.316375, 108.97956489, 249.918702217, 291.00165056, 78.6372257654, 81.0603974781]
#
#    print 'MEAN - dense T dense O: ',np.mean(dtdo)
#    print 'MEAN - sparse T dense O:', np.mean(stdo)
#    
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(45)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(45)
#    errorDis1.set_xlabel('time',size=45)
#    errorDis1.set_ylabel('MSE',size=45)
#    errorDis1.plot(time,dtdo,'vr--',label='DenseT-DenseO', markersize=9,markerfacecolor='w',markeredgecolor='r')
#    errorDis1.plot(time,stdo,'ok-',label='SparseT-DenseO', markersize=9,markerfacecolor='w',markeredgecolor='k')
#    errorDis1.legend(prop={'size':45}) 
#    plt.show()    
#elif graph == 7:#O versus T - TPO-T VS TPO-P VS TP-T
##    time1 = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
##    oftt1 = [ 2.24145459457 ,  1.73143800808 ,  0.799179426583 ,  2.01173649785 ,  1.81718487406 ,  1.15549025585 ,  2.81841446511 ,  1.31058908497 ,  1.10303421876 ,  0.645413892646 ,  2.58626674665 ,  3.61801909886 ,  0.952661481413 ,  1.33722863725 ,  2.33427913521 ,  3.25891430085 ,  1.58177500317 ,  3.16742183238 ,  3.40244886268 ,  2.74782217877 ,  2.02421508291 ,  3.43543221065 ,  2.75801727099 ,  3.47512377666 ,  3.21835103328 ,  3.55187074828 ,  2.58031331124 ,  2.29762085226 ,  4.06586361021 ,  1.99885747247 ,  3.50018608759 ,  2.89382577221 ,  2.87643825366 ,  3.82574308484 ,  2.88754786537 ,  3.4611622107 ,  2.38718055664 ,  3.64932069411 ,  3.87850569272 ,  4.4113182732 ,  2.60367705107 ,  4.38603456884 ,  3.76237502142 ,  4.70449294799 ,  4.48489780315 ,  4.00217675235 ,  3.69113872225 ,  2.84381752466 ,  2.64490642981 ,  3.26550030106 ,  3.11284322531 ,  3.5278606601 ,  2.73389921687 ,  3.22909639958 ,  9.68749273327 ,  3.33794329991 ,  1.82267761822 ,  3.84960343354 ,  3.34947114286 ,  1.97525234047 ,  4.80490149444 ,  8.14703674908 ,  2.85123026634 ,  4.55860899603 ,  3.8336676661 ,  6.30110432527 ,  5.03219707113 ,  16.0849484556 ,  2.45380197659 ,  1.51388666902 ,  1.93585020619 ,  1.3686990979 ,  1.79589742566 ,  1.87033918163 ,  2.1347025076 ,  2.2107307156 ,  2.00306285687 ,  1.42081441613 ,  2.25800807735 ,  2.64485987569 ,  1.57499868863 ,  1.46970759794 ,  2.14947144609 ,  1.71494163207 ,  1.42890994211 ,  1.42921051412 ,  2.56822992844 ,  2.57491186436 ,  2.24887120575 ,  2.45006028512 ,  2.29030145929 ,  2.20357005345 ,  2.37107043373 ,  1.79574736231 ,  2.16022404774 ,  1.98744860352 ,  2.76517152188 ,  4.46927922498 ,  2.28449240154 ,  3.50934876462 ,  3.43002757824 ,  3.57237690717 ,  3.74711858238 ,  5.269319282 ,  1.91724186837 ,  2.37274846701 ,  2.74429162252 ,  4.33152677022 ,  5.19693037903 ,  4.14178144568 ,  1.3717559139 ,  5.10188377373 ,  15.3319173641 ,  2.72503824835 ,  4.43168328127 ,  2.77228298597 ,  4.00000047582 ,  2.78321470794 ,  4.4266595246 ,  12.3738675504 ,  2.2362768749 ,  3.53624063741 ,  2.17194051215 ,  1.80232955064 ,  3.11447942993 ,  5.58415288653 ,  14.1053921526 ,  8.57341416642 ,  3.15187293847 ,  2.76141329912 ,  4.07248264248 ,  1.99320484803 ,  2.91473616599 ,  2.20586857277 ,  2.94563619851 ,  5.42395269199 ,  29.078302079 ,  14.0218517407 ,  20.5513224061 ,  8.07341836515 ,  6.53713071169 ,  3.6100915748 ,  2.98813230058 ,  2.04783764553 ,  2.60001717019 ,  1.67795651189 ,  2.92481559366 ,  1.78590828584 ,  0.883847519117 ,  2.09792479628 ,  2.77275673653 ,  6.82743125648 ,  2.05469069428 ,  4.18963363872 ,  5.88560779047 ,  3.49943148138 ,  2.40634975286 ,  3.75794501409 ,  3.99229239053 ,  1.58456767841 ,  3.45776889589 ]
##    ftt1  = [ 3.31262327416 ,  1.84214332676 ,  1.11111111111 ,  2.03014464168 ,  1.93767258383 ,  1.65447074293 ,  9.03852728468 ,  1.27301117686 ,  1.26666666667 ,  9.82712031558 ,  10.434122288 ,  10.373339908 ,  9.46630506246 ,  4.1728139382 ,  5.41262327416 ,  4.27879684418 ,  6.29760026298 ,  9.66288625904 ,  11.6660420776 ,  11.8333333333 ,  10.6944444444 ,  10.0307034845 ,  3.57557527942 ,  11.5675871137 ,  10.4951347798 ,  12.6495069034 ,  8.61134122288 ,  7.35282708744 ,  15.2697238659 ,  11.763477975 ,  11.9313938199 ,  5.16702827087 ,  9.16988823143 ,  13.1682117028 ,  6.59408284024 ,  11.0944444444 ,  10.6555555556 ,  9.95519395135 ,  9.09247205786 ,  6.50575279421 ,  8.11604207758 ,  7.55410913872 ,  11.0204470743 ,  9.8771860618 ,  11.4343523997 ,  12.8762656147 ,  7.9865877712 ,  9.08829717291 ,  8.25016436555 ,  5.91666666667 ,  3.31130834977 ,  9.45788954635 ,  9.45358316897 ,  11.9777120316 ,  10.9437869822 ,  12.5656147272 ,  10.2722222222 ,  12.8760026298 ,  8.95239973702 ,  10.3648915187 ,  5.87370151216 ,  4.64280078895 ,  11.4609138725 ,  12.0109467456 ,  3.86985535832 ,  2.52258382643 ,  12.7899408284 ,  12.5566732413 ,  10.8793228139 ,  8.65 ,  3.78099934254 ,  10.8026298488 ,  7.08011176857 ,  13.9724194609 ,  8.85548980934 ,  10.6792899408 ,  1.92024983563 ,  8.36048652202 ,  10.8907626561 ,  12.25539119 ,  10.9333333333 ,  8.59119000657 ,  3.31245890861 ,  6.69470742932 ,  5.44224194609 ,  8.9033530572 ,  12.6318211703 ,  8.3892504931 ,  12.5443786982 ,  11.1166666667 ,  12.7669296515 ,  5.2476660092 ,  10.1997698882 ,  7.16147271532 ,  14.1570348455 ,  12.6276134122 ,  6.18612754767 ,  8.52889546351 ,  6.97771203156 ,  5.6845496384 ,  9.83563445102 ,  4.45420775805 ,  7.94322813938 ,  11.9659763314 ,  5.65262984878 ,  11.1993754109 ,  5.48007889546 ,  3.85 ,  7.94165023011 ,  5.82501643655 ,  13.3653188692 ,  12.3447074293 ,  8.30325443787 ,  9.31564760026 ,  1.98583168968 ,  5.0335634451 ,  3.27419460881 ,  5.45749506903 ,  9.69375410914 ,  10.5053583169 ,  5.52222222222 ,  8.88484549638 ,  4.34707429323 ,  7.59566074951 ,  11.1198224852 ,  3.9771860618 ,  14.2973701512 ,  5.28652202498 ,  9.70667324129 ,  9.508382643 ,  12.7611111111 ,  8.00660749507 ,  11.3608809993 ,  15.2407955293 ,  4.07712031558 ,  11.8497370151 ,  13.1331032216 ,  11.6076265615 ,  9.47376725838 ,  5.78333333333 ,  5.68783694938 ,  5.93011176857 ,  6.64806048652 ,  5.23185404339 ,  16.66617357 ,  9.43609467456 ,  2.10019723866 ,  2.68957922419 ,  4.42330703485 ,  9.30023011177 ,  10.2113412229 ,  7.99375410914 ,  8.58267587114 ,  10.5413872452 ,  5.42728468113 ,  6.30785667324 ,  8.36650230112 ,  7.07001972387 ,  8.60621301775 ,  4.16111111111 ,  5.93625904011 ]
##       
#    time1 = [ 15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
#    oftt1 = [ 3.34016987043 ,  2.11315860427 ,  3.18601772454 ,  2.27078098197 ,  1.9420457237 ,  1.78898985201 ,  3.73454058499 ,  1.68480930255 ,  3.0386681039 ,  2.85571865734 ,  3.67601949705 ,  3.79573983327 ,  2.14938619725 ,  3.30385990796 ,  2.52350280827 ,  2.78920221392 ,  2.33322730245 ,  1.98399477751 ,  1.60538259827 ,  1.6598521442 ,  1.32650828772 ,  1.77548607706 ,  1.99973719458 ,  2.6260890102 ,  0.836643695985 ,  3.07519345155 ,  1.07249957761 ,  2.00305118752 ,  2.5596876696 ,  3.60327651365 ,  1.7923848476 ,  2.93387600578 ,  2.10630249637 ,  2.62657712208 ,  4.46121606175 ,  3.67395466752 ,  6.08488199517 ,  2.82596124205 ,  3.91241243228 ,  2.41879102395 ,  5.58772604829 ,  5.46544361042 ,  2.28721049498 ,  2.77276299549 ,  3.76564829102 ,  2.98083742388 ,  2.27925861381 ,  4.62218104164 ,  2.28501948578 ,  3.05490472895 ,  3.46676593792 ,  3.92566641941 ,  2.17956934145 ,  1.37175933222 ,  6.96433390259 ,  2.01892635736 ,  1.26722331867 ,  2.8570576534 ,  1.13259061279 ,  1.95600833705 ,  3.03595447335 ,  2.68137884379 ,  2.422802909 ,  1.68415431027 ,  6.4498319049 ,  3.96220874586 ,  4.69988034974 ,  4.07102932834 ,  10.7651747519 ,  1.81898918617 ,  4.65267675925 ,  6.19047595255 ,  9.03167793854 ,  6.76516119096 ,  9.09661653142 ,  5.77479201038 ,  5.02901085492 ,  7.21128650775 ,  9.02549607313 ,  4.47327569073 ,  6.31552038723 ,  3.84705878877 ,  4.93029548398 ,  7.19598955666 ,  2.89317645075 ,  2.24624292048 ,  19.8300025219 ,  16.3631961495 ,  5.65725732509 ,  7.03276276214 ,  7.74351929772 ]
#    ofpt1 = [ 3.33126992611 ,  2.15235043881 ,  4.21215375236 ,  2.04146402499 ,  2.26508236112 ,  1.75842743987 ,  3.83752010319 ,  1.79356812562 ,  2.71647871756 ,  2.98920028076 ,  3.06963761795 ,  3.78037524154 ,  2.11330949347 ,  3.62306600989 ,  2.10132375418 ,  2.79890211351 ,  2.45220911956 ,  2.0962944359 ,  1.71888897623 ,  2.00237892092 ,  2.00237892092 ,  1.75017286044 ,  1.87819485903 ,  2.77200592938 ,  0.927552735382 ,  2.16110258543 ,  0.952612535679 ,  1.55876494568 ,  2.43936505277 ,  2.74032154014 ,  2.20187230613 ,  2.62732676781, 1.81709347884 ,  2.68646819361 ,  4.87840695719 ,  3.58804992604 ,  1.96027598281 ,  2.16400733578 ,  4.55698744552 ,  2.61612107743 ,  4.1007299461 ,  2.60197595024 ,  2.42772928849 ,  3.70504358394 ,  2.64089183244 ,  2.53083484208 ,  2.69596558723 ,  3.82189848477 ,  2.10858933652 ,  2.69381421149 ,  4.48942308279 ,  3.48776778082 ,  1.75831208948 ,  1.48030854681 ,  3.2901866737 ,  2.33799936521 ,  1.50491990853 ,  1.23953538087 ,  1.19008302381 ,  2.36576100342, 2.57888534853 ,  2.052794471 ,  2.64644323686 ,  1.35534774334 ,  5.6573022579 ,  4.76819909982 ,  1.85043233584 ,  3.46190356262 ,  5.28356384041 ,  1.84882416982 ,  3.01211103176 ,  4.59728665448 ,  8.01181670627 ,  6.44190774176 ,  7.57429158629 ,  5.66900034971 ,  4.30244931982 ,  6.23339404063 ,  6.88638460847 ,  4.63713969717 ,  5.75838213042 ,  3.38303474858 ,  4.29114582128 ,  2.74825804228 ,  2.33363923855 ,  2.26640425042 ,  4.06245325649 ,  3.02492973852 ,  4.13263598916, 4.06968874886 ,  3.87911988994]
#    ftt1 = [ 11.9777777778 ,  5.30444444444 ,  6.60555555556 ,  5.95777777778 ,  12.5111111111 ,  9.20444444444 ,  7.46666666667 ,  5.53777777778 ,  8.21333333333 ,  6.09333333333 ,  7.58333333333 ,  5.55333333333 ,  8.17 ,  12.5644444444 ,  5.17 ,  12.4677777778 ,  6.09444444444 ,  4.99666666667 ,  6.82777777778 ,  5.94777777778 ,  11.0944444444 ,  10.26 ,  5.23666666667 ,  7.97 ,  1.59666666667 ,  7.39333333333 ,  2.73333333333 ,  4.52222222222 ,  13.65 ,  9.81888888889 ,  5.72222222222 ,  4.58444444444 ,  4.84666666667 ,  6.91111111111 ,  9.93 ,  4.4 ,  13.1433333333 ,  5.34333333333 ,  9.29 ,  8.00111111111 ,  11.3344444444 ,  8.30888888889 ,  13.0066666667 ,  9.40888888889 ,  3.65 ,  9.62 ,  15.25 ,  9.95666666667 ,  6.53333333333 ,  4.36111111111 ,  6.1 ,  5.91666666667 ,  4.94666666667 ,  3.92 ,  13.6955555556 ,  9.13777777778 ,  1.22333333333 ,  2.35555555556 ,  4.62 ,  7.94333333333 ,  9.09333333333 ,  6.67333333333 ,  7.17555555556 ,  8.79777777778 ,  5.32111111111 ,  8.37 ,  9.10444444444 ,  4.39333333333 ,  7.40111111111 ,  3.44 ,  3.62333333333 ,  5.64111111111 ,  6.80555555556 ,  8.66333333333 ,  9.05111111111 ,  10.2 ,  5.94333333333 ,  6.72888888889 ,  6.26888888889 ,  4.31666666667 ,  9.28888888889 ,  9.24 ,  6.27111111111 ,  12.4866666667 ,  3.67666666667 ,  7.58777777778 ,  3.85 ,  4.34666666667 ,  6.28 ,  6.28 ,  6.28 ]
#    time = []
#    oftt= []
#    ftt = []
#    ofpt = []
#    for time10 in range(160,241,10):
#        time01 = time10 / 10.0
#        for i in range(len(time1)):
#            if time1[i] == time01:
#                time.append(time1[i])
#                oftt.append(oftt1[i])
#                ftt.append(ftt1[i])
#                ofpt.append(ofpt1[i])
#                break
#    print 'MEAN - oftt: ',np.mean(oftt)
#    print 'MEAN - ftt:', np.mean(ftt)
#    print 'MEAN - ofpt: ', np.mean(ofpt)
#        
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    xlim(16,24)
#    errorDis1.set_xlabel('Time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,oftt,'sk-',label='TPO-T', linewidth=2.5, markersize=30,markerfacecolor='k',markeredgecolor='k')
#    errorDis1.plot(time,ofpt,'*r--',label='TPO-P', linewidth = 2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')    
#    errorDis1.plot(time,ftt,'.b--',label='TP-T', linewidth = 2.5, markersize=60,markerfacecolor='b',markeredgecolor='b')    
#    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':40}) 
#    plt.show()
elif graph == 7.9:#O versus T - TPO-T TP-T
#TPO-T v.s. TP-T: MSE as a function of time, 16:00-24:00.
#    time1 = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    oftt1 = [ 2.24145459457 ,  1.73143800808 ,  0.799179426583 ,  2.01173649785 ,  1.81718487406 ,  1.15549025585 ,  2.81841446511 ,  1.31058908497 ,  1.10303421876 ,  0.645413892646 ,  2.58626674665 ,  3.61801909886 ,  0.952661481413 ,  1.33722863725 ,  2.33427913521 ,  3.25891430085 ,  1.58177500317 ,  3.16742183238 ,  3.40244886268 ,  2.74782217877 ,  2.02421508291 ,  3.43543221065 ,  2.75801727099 ,  3.47512377666 ,  3.21835103328 ,  3.55187074828 ,  2.58031331124 ,  2.29762085226 ,  4.06586361021 ,  1.99885747247 ,  3.50018608759 ,  2.89382577221 ,  2.87643825366 ,  3.82574308484 ,  2.88754786537 ,  3.4611622107 ,  2.38718055664 ,  3.64932069411 ,  3.87850569272 ,  4.4113182732 ,  2.60367705107 ,  4.38603456884 ,  3.76237502142 ,  4.70449294799 ,  4.48489780315 ,  4.00217675235 ,  3.69113872225 ,  2.84381752466 ,  2.64490642981 ,  3.26550030106 ,  3.11284322531 ,  3.5278606601 ,  2.73389921687 ,  3.22909639958 ,  9.68749273327 ,  3.33794329991 ,  1.82267761822 ,  3.84960343354 ,  3.34947114286 ,  1.97525234047 ,  4.80490149444 ,  8.14703674908 ,  2.85123026634 ,  4.55860899603 ,  3.8336676661 ,  6.30110432527 ,  5.03219707113 ,  16.0849484556 ,  2.45380197659 ,  1.51388666902 ,  1.93585020619 ,  1.3686990979 ,  1.79589742566 ,  1.87033918163 ,  2.1347025076 ,  2.2107307156 ,  2.00306285687 ,  1.42081441613 ,  2.25800807735 ,  2.64485987569 ,  1.57499868863 ,  1.46970759794 ,  2.14947144609 ,  1.71494163207 ,  1.42890994211 ,  1.42921051412 ,  2.56822992844 ,  2.57491186436 ,  2.24887120575 ,  2.45006028512 ,  2.29030145929 ,  2.20357005345 ,  2.37107043373 ,  1.79574736231 ,  2.16022404774 ,  1.98744860352 ,  2.76517152188 ,  4.46927922498 ,  2.28449240154 ,  3.50934876462 ,  3.43002757824 ,  3.57237690717 ,  3.74711858238 ,  5.269319282 ,  1.91724186837 ,  2.37274846701 ,  2.74429162252 ,  4.33152677022 ,  5.19693037903 ,  4.14178144568 ,  1.3717559139 ,  5.10188377373 ,  15.3319173641 ,  2.72503824835 ,  4.43168328127 ,  2.77228298597 ,  4.00000047582 ,  2.78321470794 ,  4.4266595246 ,  12.3738675504 ,  2.2362768749 ,  3.53624063741 ,  2.17194051215 ,  1.80232955064 ,  3.11447942993 ,  5.58415288653 ,  14.1053921526 ,  8.57341416642 ,  3.15187293847 ,  2.76141329912 ,  4.07248264248 ,  1.99320484803 ,  2.91473616599 ,  2.20586857277 ,  2.94563619851 ,  5.42395269199 ,  29.078302079 ,  14.0218517407 ,  20.5513224061 ,  8.07341836515 ,  6.53713071169 ,  3.6100915748 ,  2.98813230058 ,  2.04783764553 ,  2.60001717019 ,  1.67795651189 ,  2.92481559366 ,  1.78590828584 ,  0.883847519117 ,  2.09792479628 ,  2.77275673653 ,  6.82743125648 ,  2.05469069428 ,  4.18963363872 ,  5.88560779047 ,  3.49943148138 ,  2.40634975286 ,  3.75794501409 ,  3.99229239053 ,  1.58456767841 ,  3.45776889589 ]
#    ftt1  = [ 3.31262327416 ,  1.84214332676 ,  1.11111111111 ,  2.03014464168 ,  1.93767258383 ,  1.65447074293 ,  9.03852728468 ,  1.27301117686 ,  1.26666666667 ,  9.82712031558 ,  10.434122288 ,  10.373339908 ,  9.46630506246 ,  4.1728139382 ,  5.41262327416 ,  4.27879684418 ,  6.29760026298 ,  9.66288625904 ,  11.6660420776 ,  11.8333333333 ,  10.6944444444 ,  10.0307034845 ,  3.57557527942 ,  11.5675871137 ,  10.4951347798 ,  12.6495069034 ,  8.61134122288 ,  7.35282708744 ,  15.2697238659 ,  11.763477975 ,  11.9313938199 ,  5.16702827087 ,  9.16988823143 ,  13.1682117028 ,  6.59408284024 ,  11.0944444444 ,  10.6555555556 ,  9.95519395135 ,  9.09247205786 ,  6.50575279421 ,  8.11604207758 ,  7.55410913872 ,  11.0204470743 ,  9.8771860618 ,  11.4343523997 ,  12.8762656147 ,  7.9865877712 ,  9.08829717291 ,  8.25016436555 ,  5.91666666667 ,  3.31130834977 ,  9.45788954635 ,  9.45358316897 ,  11.9777120316 ,  10.9437869822 ,  12.5656147272 ,  10.2722222222 ,  12.8760026298 ,  8.95239973702 ,  10.3648915187 ,  5.87370151216 ,  4.64280078895 ,  11.4609138725 ,  12.0109467456 ,  3.86985535832 ,  2.52258382643 ,  12.7899408284 ,  12.5566732413 ,  10.8793228139 ,  8.65 ,  3.78099934254 ,  10.8026298488 ,  7.08011176857 ,  13.9724194609 ,  8.85548980934 ,  10.6792899408 ,  1.92024983563 ,  8.36048652202 ,  10.8907626561 ,  12.25539119 ,  10.9333333333 ,  8.59119000657 ,  3.31245890861 ,  6.69470742932 ,  5.44224194609 ,  8.9033530572 ,  12.6318211703 ,  8.3892504931 ,  12.5443786982 ,  11.1166666667 ,  12.7669296515 ,  5.2476660092 ,  10.1997698882 ,  7.16147271532 ,  14.1570348455 ,  12.6276134122 ,  6.18612754767 ,  8.52889546351 ,  6.97771203156 ,  5.6845496384 ,  9.83563445102 ,  4.45420775805 ,  7.94322813938 ,  11.9659763314 ,  5.65262984878 ,  11.1993754109 ,  5.48007889546 ,  3.85 ,  7.94165023011 ,  5.82501643655 ,  13.3653188692 ,  12.3447074293 ,  8.30325443787 ,  9.31564760026 ,  1.98583168968 ,  5.0335634451 ,  3.27419460881 ,  5.45749506903 ,  9.69375410914 ,  10.5053583169 ,  5.52222222222 ,  8.88484549638 ,  4.34707429323 ,  7.59566074951 ,  11.1198224852 ,  3.9771860618 ,  14.2973701512 ,  5.28652202498 ,  9.70667324129 ,  9.508382643 ,  12.7611111111 ,  8.00660749507 ,  11.3608809993 ,  15.2407955293 ,  4.07712031558 ,  11.8497370151 ,  13.1331032216 ,  11.6076265615 ,  9.47376725838 ,  5.78333333333 ,  5.68783694938 ,  5.93011176857 ,  6.64806048652 ,  5.23185404339 ,  16.66617357 ,  9.43609467456 ,  2.10019723866 ,  2.68957922419 ,  4.42330703485 ,  9.30023011177 ,  10.2113412229 ,  7.99375410914 ,  8.58267587114 ,  10.5413872452 ,  5.42728468113 ,  6.30785667324 ,  8.36650230112 ,  7.07001972387 ,  8.60621301775 ,  4.16111111111 ,  5.93625904011 ]
#       
    time1 = [ 15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
    oftt1 = [ 3.34016987043 ,  2.11315860427 ,  3.18601772454 ,  2.27078098197 ,  1.9420457237 ,  1.78898985201 ,  3.73454058499 ,  1.68480930255 ,  3.0386681039 ,  2.85571865734 ,  3.67601949705 ,  3.79573983327 ,  2.14938619725 ,  3.30385990796 ,  2.52350280827 ,  2.78920221392 ,  2.33322730245 ,  1.98399477751 ,  1.60538259827 ,  1.6598521442 ,  1.32650828772 ,  1.77548607706 ,  1.99973719458 ,  2.6260890102 ,  0.836643695985 ,  3.07519345155 ,  1.07249957761 ,  2.00305118752 ,  2.5596876696 ,  3.60327651365 ,  1.7923848476 ,  2.93387600578 ,  2.10630249637 ,  2.62657712208 ,  4.46121606175 ,  3.67395466752 ,  6.08488199517 ,  2.82596124205 ,  3.91241243228 ,  2.41879102395 ,  5.58772604829 ,  5.46544361042 ,  2.28721049498 ,  2.77276299549 ,  3.76564829102 ,  2.98083742388 ,  2.27925861381 ,  4.62218104164 ,  2.28501948578 ,  3.05490472895 ,  3.46676593792 ,  3.92566641941 ,  2.17956934145 ,  1.37175933222 ,  6.96433390259 ,  2.01892635736 ,  1.26722331867 ,  2.8570576534 ,  1.13259061279 ,  1.95600833705 ,  3.03595447335 ,  2.68137884379 ,  2.422802909 ,  1.68415431027 ,  6.4498319049 ,  3.96220874586 ,  4.69988034974 ,  4.07102932834 ,  10.7651747519 ,  1.81898918617 ,  4.65267675925 ,  6.19047595255 ,  9.03167793854 ,  6.76516119096 ,  9.09661653142 ,  5.77479201038 ,  5.02901085492 ,  7.21128650775 ,  9.02549607313 ,  4.47327569073 ,  6.31552038723 ,  3.84705878877 ,  4.93029548398 ,  7.19598955666 ,  2.89317645075 ,  2.24624292048 ,  19.8300025219 ,  16.3631961495 ,  5.65725732509 ,  7.03276276214 ,  7.74351929772 ]
    ofpt1 = [ 3.33126992611 ,  2.15235043881 ,  4.21215375236 ,  2.04146402499 ,  2.26508236112 ,  1.75842743987 ,  3.83752010319 ,  1.79356812562 ,  2.71647871756 ,  2.98920028076 ,  3.06963761795 ,  3.78037524154 ,  2.11330949347 ,  3.62306600989 ,  2.10132375418 ,  2.79890211351 ,  2.45220911956 ,  2.0962944359 ,  1.71888897623 ,  2.00237892092 ,  2.00237892092 ,  1.75017286044 ,  1.87819485903 ,  2.77200592938 ,  0.927552735382 ,  2.16110258543 ,  0.952612535679 ,  1.55876494568 ,  2.43936505277 ,  2.74032154014 ,  2.20187230613 ,  2.62732676781, 1.81709347884 ,  2.68646819361 ,  4.87840695719 ,  3.58804992604 ,  1.96027598281 ,  2.16400733578 ,  4.55698744552 ,  2.61612107743 ,  4.1007299461 ,  2.60197595024 ,  2.42772928849 ,  3.70504358394 ,  2.64089183244 ,  2.53083484208 ,  2.69596558723 ,  3.82189848477 ,  2.10858933652 ,  2.69381421149 ,  4.48942308279 ,  3.48776778082 ,  1.75831208948 ,  1.48030854681 ,  3.2901866737 ,  2.33799936521 ,  1.50491990853 ,  1.23953538087 ,  1.19008302381 ,  2.36576100342, 2.57888534853 ,  2.052794471 ,  2.64644323686 ,  1.35534774334 ,  5.6573022579 ,  4.76819909982 ,  1.85043233584 ,  3.46190356262 ,  5.28356384041 ,  1.84882416982 ,  3.01211103176 ,  4.59728665448 ,  8.01181670627 ,  6.44190774176 ,  7.57429158629 ,  5.66900034971 ,  4.30244931982 ,  6.23339404063 ,  6.88638460847 ,  4.63713969717 ,  5.75838213042 ,  3.38303474858 ,  4.29114582128 ,  2.74825804228 ,  2.33363923855 ,  2.26640425042 ,  4.06245325649 ,  3.02492973852 ,  4.13263598916, 4.06968874886 ,  3.87911988994]
    ftt1 = [ 11.9777777778 ,  5.30444444444 ,  6.60555555556 ,  5.95777777778 ,  12.5111111111 ,  9.20444444444 ,  7.46666666667 ,  5.53777777778 ,  8.21333333333 ,  6.09333333333 ,  7.58333333333 ,  5.55333333333 ,  8.17 ,  12.5644444444 ,  5.17 ,  12.4677777778 ,  6.09444444444 ,  4.99666666667 ,  6.82777777778 ,  5.94777777778 ,  11.0944444444 ,  10.26 ,  5.23666666667 ,  7.97 ,  1.59666666667 ,  7.39333333333 ,  2.73333333333 ,  4.52222222222 ,  13.65 ,  9.81888888889 ,  5.72222222222 ,  4.58444444444 ,  4.84666666667 ,  6.91111111111 ,  9.93 ,  4.4 ,  13.1433333333 ,  5.34333333333 ,  9.29 ,  8.00111111111 ,  11.3344444444 ,  8.30888888889 ,  13.0066666667 ,  9.40888888889 ,  3.65 ,  9.62 ,  15.25 ,  9.95666666667 ,  6.53333333333 ,  4.36111111111 ,  6.1 ,  5.91666666667 ,  4.94666666667 ,  3.92 ,  13.6955555556 ,  9.13777777778 ,  1.22333333333 ,  2.35555555556 ,  4.62 ,  7.94333333333 ,  9.09333333333 ,  6.67333333333 ,  7.17555555556 ,  8.79777777778 ,  5.32111111111 ,  8.37 ,  9.10444444444 ,  4.39333333333 ,  7.40111111111 ,  3.44 ,  3.62333333333 ,  5.64111111111 ,  6.80555555556 ,  8.66333333333 ,  9.05111111111 ,  10.2 ,  5.94333333333 ,  6.72888888889 ,  6.26888888889 ,  4.31666666667 ,  9.28888888889 ,  9.24 ,  6.27111111111 ,  12.4866666667 ,  3.67666666667 ,  7.58777777778 ,  3.85 ,  4.34666666667 ,  6.28 ,  6.28 ,  6.28 ]
    time = []
    oftt= []
    ftt = []
    ofpt = []
    for time10 in range(160,241,10):
        time01 = time10 / 10.0
        for i in range(len(time1)):
            if time1[i] == time01:
                print time1[i], oftt1[i], ftt1[i], ftt1[i]-oftt1[i]
                time.append(time1[i])
                oftt.append(oftt1[i])
                ftt.append(ftt1[i])
                ofpt.append(ofpt1[i])
                break
    print 'MEAN - oftt: ',np.mean(oftt)
    print 'MEAN - ftt:', np.mean(ftt)
    #print 'MEAN - ofpt: ', np.mean(ofpt)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    #xlim(17,19)
    xlim(16,24)
    ylim(0,13)
    errorDis1.set_xlabel('Time',size=50)
    errorDis1.set_ylabel('MSE',size=50)
    errorDis1.plot(time,oftt,'pb-',label='TPO-T', linewidth=2.5, markersize=psize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)   
    errorDis1.plot(time,ftt,'^r--',label='TP-T', linewidth = 2.5, markersize=trisize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)    
    errorDis1.legend(bbox_to_anchor=(1, 1.1), prop={'size':legendsize}) 
    plt.grid(True, linewidth = gridwidth)
    plt.show()
elif graph == 7.1:#O versus T - TPO-T TP-T
#TPO-T v.s. TP-T: MSE as a function of time, 17:00-19:00.
#    time1 = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    oftt1 = [ 2.24145459457 ,  1.73143800808 ,  0.799179426583 ,  2.01173649785 ,  1.81718487406 ,  1.15549025585 ,  2.81841446511 ,  1.31058908497 ,  1.10303421876 ,  0.645413892646 ,  2.58626674665 ,  3.61801909886 ,  0.952661481413 ,  1.33722863725 ,  2.33427913521 ,  3.25891430085 ,  1.58177500317 ,  3.16742183238 ,  3.40244886268 ,  2.74782217877 ,  2.02421508291 ,  3.43543221065 ,  2.75801727099 ,  3.47512377666 ,  3.21835103328 ,  3.55187074828 ,  2.58031331124 ,  2.29762085226 ,  4.06586361021 ,  1.99885747247 ,  3.50018608759 ,  2.89382577221 ,  2.87643825366 ,  3.82574308484 ,  2.88754786537 ,  3.4611622107 ,  2.38718055664 ,  3.64932069411 ,  3.87850569272 ,  4.4113182732 ,  2.60367705107 ,  4.38603456884 ,  3.76237502142 ,  4.70449294799 ,  4.48489780315 ,  4.00217675235 ,  3.69113872225 ,  2.84381752466 ,  2.64490642981 ,  3.26550030106 ,  3.11284322531 ,  3.5278606601 ,  2.73389921687 ,  3.22909639958 ,  9.68749273327 ,  3.33794329991 ,  1.82267761822 ,  3.84960343354 ,  3.34947114286 ,  1.97525234047 ,  4.80490149444 ,  8.14703674908 ,  2.85123026634 ,  4.55860899603 ,  3.8336676661 ,  6.30110432527 ,  5.03219707113 ,  16.0849484556 ,  2.45380197659 ,  1.51388666902 ,  1.93585020619 ,  1.3686990979 ,  1.79589742566 ,  1.87033918163 ,  2.1347025076 ,  2.2107307156 ,  2.00306285687 ,  1.42081441613 ,  2.25800807735 ,  2.64485987569 ,  1.57499868863 ,  1.46970759794 ,  2.14947144609 ,  1.71494163207 ,  1.42890994211 ,  1.42921051412 ,  2.56822992844 ,  2.57491186436 ,  2.24887120575 ,  2.45006028512 ,  2.29030145929 ,  2.20357005345 ,  2.37107043373 ,  1.79574736231 ,  2.16022404774 ,  1.98744860352 ,  2.76517152188 ,  4.46927922498 ,  2.28449240154 ,  3.50934876462 ,  3.43002757824 ,  3.57237690717 ,  3.74711858238 ,  5.269319282 ,  1.91724186837 ,  2.37274846701 ,  2.74429162252 ,  4.33152677022 ,  5.19693037903 ,  4.14178144568 ,  1.3717559139 ,  5.10188377373 ,  15.3319173641 ,  2.72503824835 ,  4.43168328127 ,  2.77228298597 ,  4.00000047582 ,  2.78321470794 ,  4.4266595246 ,  12.3738675504 ,  2.2362768749 ,  3.53624063741 ,  2.17194051215 ,  1.80232955064 ,  3.11447942993 ,  5.58415288653 ,  14.1053921526 ,  8.57341416642 ,  3.15187293847 ,  2.76141329912 ,  4.07248264248 ,  1.99320484803 ,  2.91473616599 ,  2.20586857277 ,  2.94563619851 ,  5.42395269199 ,  29.078302079 ,  14.0218517407 ,  20.5513224061 ,  8.07341836515 ,  6.53713071169 ,  3.6100915748 ,  2.98813230058 ,  2.04783764553 ,  2.60001717019 ,  1.67795651189 ,  2.92481559366 ,  1.78590828584 ,  0.883847519117 ,  2.09792479628 ,  2.77275673653 ,  6.82743125648 ,  2.05469069428 ,  4.18963363872 ,  5.88560779047 ,  3.49943148138 ,  2.40634975286 ,  3.75794501409 ,  3.99229239053 ,  1.58456767841 ,  3.45776889589 ]
#    ftt1  = [ 3.31262327416 ,  1.84214332676 ,  1.11111111111 ,  2.03014464168 ,  1.93767258383 ,  1.65447074293 ,  9.03852728468 ,  1.27301117686 ,  1.26666666667 ,  9.82712031558 ,  10.434122288 ,  10.373339908 ,  9.46630506246 ,  4.1728139382 ,  5.41262327416 ,  4.27879684418 ,  6.29760026298 ,  9.66288625904 ,  11.6660420776 ,  11.8333333333 ,  10.6944444444 ,  10.0307034845 ,  3.57557527942 ,  11.5675871137 ,  10.4951347798 ,  12.6495069034 ,  8.61134122288 ,  7.35282708744 ,  15.2697238659 ,  11.763477975 ,  11.9313938199 ,  5.16702827087 ,  9.16988823143 ,  13.1682117028 ,  6.59408284024 ,  11.0944444444 ,  10.6555555556 ,  9.95519395135 ,  9.09247205786 ,  6.50575279421 ,  8.11604207758 ,  7.55410913872 ,  11.0204470743 ,  9.8771860618 ,  11.4343523997 ,  12.8762656147 ,  7.9865877712 ,  9.08829717291 ,  8.25016436555 ,  5.91666666667 ,  3.31130834977 ,  9.45788954635 ,  9.45358316897 ,  11.9777120316 ,  10.9437869822 ,  12.5656147272 ,  10.2722222222 ,  12.8760026298 ,  8.95239973702 ,  10.3648915187 ,  5.87370151216 ,  4.64280078895 ,  11.4609138725 ,  12.0109467456 ,  3.86985535832 ,  2.52258382643 ,  12.7899408284 ,  12.5566732413 ,  10.8793228139 ,  8.65 ,  3.78099934254 ,  10.8026298488 ,  7.08011176857 ,  13.9724194609 ,  8.85548980934 ,  10.6792899408 ,  1.92024983563 ,  8.36048652202 ,  10.8907626561 ,  12.25539119 ,  10.9333333333 ,  8.59119000657 ,  3.31245890861 ,  6.69470742932 ,  5.44224194609 ,  8.9033530572 ,  12.6318211703 ,  8.3892504931 ,  12.5443786982 ,  11.1166666667 ,  12.7669296515 ,  5.2476660092 ,  10.1997698882 ,  7.16147271532 ,  14.1570348455 ,  12.6276134122 ,  6.18612754767 ,  8.52889546351 ,  6.97771203156 ,  5.6845496384 ,  9.83563445102 ,  4.45420775805 ,  7.94322813938 ,  11.9659763314 ,  5.65262984878 ,  11.1993754109 ,  5.48007889546 ,  3.85 ,  7.94165023011 ,  5.82501643655 ,  13.3653188692 ,  12.3447074293 ,  8.30325443787 ,  9.31564760026 ,  1.98583168968 ,  5.0335634451 ,  3.27419460881 ,  5.45749506903 ,  9.69375410914 ,  10.5053583169 ,  5.52222222222 ,  8.88484549638 ,  4.34707429323 ,  7.59566074951 ,  11.1198224852 ,  3.9771860618 ,  14.2973701512 ,  5.28652202498 ,  9.70667324129 ,  9.508382643 ,  12.7611111111 ,  8.00660749507 ,  11.3608809993 ,  15.2407955293 ,  4.07712031558 ,  11.8497370151 ,  13.1331032216 ,  11.6076265615 ,  9.47376725838 ,  5.78333333333 ,  5.68783694938 ,  5.93011176857 ,  6.64806048652 ,  5.23185404339 ,  16.66617357 ,  9.43609467456 ,  2.10019723866 ,  2.68957922419 ,  4.42330703485 ,  9.30023011177 ,  10.2113412229 ,  7.99375410914 ,  8.58267587114 ,  10.5413872452 ,  5.42728468113 ,  6.30785667324 ,  8.36650230112 ,  7.07001972387 ,  8.60621301775 ,  4.16111111111 ,  5.93625904011 ]
#       
    time1 = [ 15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
    oftt1 = [ 3.34016987043 ,  2.11315860427 ,  3.18601772454 ,  2.27078098197 ,  1.9420457237 ,  1.78898985201 ,  3.73454058499 ,  1.68480930255 ,  3.0386681039 ,  2.85571865734 ,  3.67601949705 ,  3.79573983327 ,  2.14938619725 ,  3.30385990796 ,  2.52350280827 ,  2.78920221392 ,  2.33322730245 ,  1.98399477751 ,  1.60538259827 ,  1.6598521442 ,  1.32650828772 ,  1.77548607706 ,  1.99973719458 ,  2.6260890102 ,  0.836643695985 ,  3.07519345155 ,  1.07249957761 ,  2.00305118752 ,  2.5596876696 ,  3.60327651365 ,  1.7923848476 ,  2.93387600578 ,  2.10630249637 ,  2.62657712208 ,  4.46121606175 ,  3.67395466752 ,  6.08488199517 ,  2.82596124205 ,  3.91241243228 ,  2.41879102395 ,  5.58772604829 ,  5.46544361042 ,  2.28721049498 ,  2.77276299549 ,  3.76564829102 ,  2.98083742388 ,  2.27925861381 ,  4.62218104164 ,  2.28501948578 ,  3.05490472895 ,  3.46676593792 ,  3.92566641941 ,  2.17956934145 ,  1.37175933222 ,  6.96433390259 ,  2.01892635736 ,  1.26722331867 ,  2.8570576534 ,  1.13259061279 ,  1.95600833705 ,  3.03595447335 ,  2.68137884379 ,  2.422802909 ,  1.68415431027 ,  6.4498319049 ,  3.96220874586 ,  4.69988034974 ,  4.07102932834 ,  10.7651747519 ,  1.81898918617 ,  4.65267675925 ,  6.19047595255 ,  9.03167793854 ,  6.76516119096 ,  9.09661653142 ,  5.77479201038 ,  5.02901085492 ,  7.21128650775 ,  9.02549607313 ,  4.47327569073 ,  6.31552038723 ,  3.84705878877 ,  4.93029548398 ,  7.19598955666 ,  2.89317645075 ,  2.24624292048 ,  19.8300025219 ,  16.3631961495 ,  5.65725732509 ,  7.03276276214 ,  7.74351929772 ]
    ofpt1 = [ 3.33126992611 ,  2.15235043881 ,  4.21215375236 ,  2.04146402499 ,  2.26508236112 ,  1.75842743987 ,  3.83752010319 ,  1.79356812562 ,  2.71647871756 ,  2.98920028076 ,  3.06963761795 ,  3.78037524154 ,  2.11330949347 ,  3.62306600989 ,  2.10132375418 ,  2.79890211351 ,  2.45220911956 ,  2.0962944359 ,  1.71888897623 ,  2.00237892092 ,  2.00237892092 ,  1.75017286044 ,  1.87819485903 ,  2.77200592938 ,  0.927552735382 ,  2.16110258543 ,  0.952612535679 ,  1.55876494568 ,  2.43936505277 ,  2.74032154014 ,  2.20187230613 ,  2.62732676781, 1.81709347884 ,  2.68646819361 ,  4.87840695719 ,  3.58804992604 ,  1.96027598281 ,  2.16400733578 ,  4.55698744552 ,  2.61612107743 ,  4.1007299461 ,  2.60197595024 ,  2.42772928849 ,  3.70504358394 ,  2.64089183244 ,  2.53083484208 ,  2.69596558723 ,  3.82189848477 ,  2.10858933652 ,  2.69381421149 ,  4.48942308279 ,  3.48776778082 ,  1.75831208948 ,  1.48030854681 ,  3.2901866737 ,  2.33799936521 ,  1.50491990853 ,  1.23953538087 ,  1.19008302381 ,  2.36576100342, 2.57888534853 ,  2.052794471 ,  2.64644323686 ,  1.35534774334 ,  5.6573022579 ,  4.76819909982 ,  1.85043233584 ,  3.46190356262 ,  5.28356384041 ,  1.84882416982 ,  3.01211103176 ,  4.59728665448 ,  8.01181670627 ,  6.44190774176 ,  7.57429158629 ,  5.66900034971 ,  4.30244931982 ,  6.23339404063 ,  6.88638460847 ,  4.63713969717 ,  5.75838213042 ,  3.38303474858 ,  4.29114582128 ,  2.74825804228 ,  2.33363923855 ,  2.26640425042 ,  4.06245325649 ,  3.02492973852 ,  4.13263598916, 4.06968874886 ,  3.87911988994]
    ftt1 = [ 11.9777777778 ,  5.30444444444 ,  6.60555555556 ,  5.95777777778 ,  12.5111111111 ,  9.20444444444 ,  7.46666666667 ,  5.53777777778 ,  8.21333333333 ,  6.09333333333 ,  7.58333333333 ,  5.55333333333 ,  8.17 ,  12.5644444444 ,  5.17 ,  12.4677777778 ,  6.09444444444 ,  4.99666666667 ,  6.82777777778 ,  5.94777777778 ,  11.0944444444 ,  10.26 ,  5.23666666667 ,  7.97 ,  1.59666666667 ,  7.39333333333 ,  2.73333333333 ,  4.52222222222 ,  13.65 ,  9.81888888889 ,  5.72222222222 ,  4.58444444444 ,  4.84666666667 ,  6.91111111111 ,  9.93 ,  4.4 ,  13.1433333333 ,  5.34333333333 ,  9.29 ,  8.00111111111 ,  11.3344444444 ,  8.30888888889 ,  13.0066666667 ,  9.40888888889 ,  3.65 ,  9.62 ,  15.25 ,  9.95666666667 ,  6.53333333333 ,  4.36111111111 ,  6.1 ,  5.91666666667 ,  4.94666666667 ,  3.92 ,  13.6955555556 ,  9.13777777778 ,  1.22333333333 ,  2.35555555556 ,  4.62 ,  7.94333333333 ,  9.09333333333 ,  6.67333333333 ,  7.17555555556 ,  8.79777777778 ,  5.32111111111 ,  8.37 ,  9.10444444444 ,  4.39333333333 ,  7.40111111111 ,  3.44 ,  3.62333333333 ,  5.64111111111 ,  6.80555555556 ,  8.66333333333 ,  9.05111111111 ,  10.2 ,  5.94333333333 ,  6.72888888889 ,  6.26888888889 ,  4.31666666667 ,  9.28888888889 ,  9.24 ,  6.27111111111 ,  12.4866666667 ,  3.67666666667 ,  7.58777777778 ,  3.85 ,  4.34666666667 ,  6.28 ,  6.28 ,  6.28 ]
    time = []
    oftt= []
    ftt = []
    ofpt = []
    for time10 in range(160,241,1):
        time01 = time10 / 10.0
        for i in range(len(time1)):
            if time1[i] == time01:
                time.append(time1[i])
                oftt.append(oftt1[i])
                ftt.append(ftt1[i])
                ofpt.append(ofpt1[i])
                break
    print 'MEAN - oftt: ',np.mean(oftt)
    print 'MEAN - ftt:', np.mean(ftt)
    #print 'MEAN - ofpt: ', np.mean(ofpt)
        
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    xlim(17,19)
    #xlim(16,24)
    ylim(0,15)
    errorDis1.set_xlabel('Time',size=50)
    errorDis1.set_ylabel('MSE',size=50)
    errorDis1.plot(time,oftt,'sk-',label='TPO-T', linewidth=2.5, markersize=30,markerfacecolor='k',markeredgecolor='k')
    #errorDis1.plot(time,ofpt,'*r--',label='TPO-P', linewidth = 2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')    
    errorDis1.plot(time,ftt,'.b--',label='TP-T', linewidth = 2.5, markersize=60,markerfacecolor='b',markeredgecolor='b')    
    #errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':40}) 
    errorDis1.legend(bbox_to_anchor=(0, 0.8), loc=0, borderaxespad=0.,prop={'size':40}) 
    plt.grid(True, linewidth = 3)
    plt.show()


#elif graph == 7.1:#O versus T - OFTT VS FTT
#    oftt =  [10.09620521181539, 5.8067972281235818, 5.035087650145921, 4.7163601794937513, 8.518796844352293, 5.0799617866835289, 7.7447764865573907, 16.861248903953573, 20.239803181656697]
#    ftt =  [12.490000000000009, 12.734444444444431, 11.111111111111127, 15.73444444444446, 16.0, 14.097777777777765, 13.690000000000021, 13.95111111111116, 14.210000000000001]
#    time =  [16, 17, 18, 19, 20, 21, 22, 23, 24]
#    
#    print 'MEAN - oftt: ',np.mean(oftt)
#    print 'MEAN - ftt:', np.mean(ftt)
#        
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    xlim(16,24)
#    errorDis1.set_xlabel('time',size=50)
#    errorDis1.set_ylabel('Refined MSE',size=50)
#    errorDis1.plot(time,oftt,'sk-',label='TPO-TT', linewidth=2.5, markersize=20,markerfacecolor='k',markeredgecolor='k')
#    errorDis1.plot(time,ftt,'*r--',label='TP-T', linewidth = 2.5, markersize=25,markerfacecolor='r',markeredgecolor='r')    
#    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':40}) 
#    plt.show()



elif graph == 7.6:#O versus T - TPO-T TP-T - train 1 month predict 3 month
#TPO-T v.s. TP-T: MSE as a function of time, 16:00-20:00.
#    time1 = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    oftt1 = [ 2.24145459457 ,  1.73143800808 ,  0.799179426583 ,  2.01173649785 ,  1.81718487406 ,  1.15549025585 ,  2.81841446511 ,  1.31058908497 ,  1.10303421876 ,  0.645413892646 ,  2.58626674665 ,  3.61801909886 ,  0.952661481413 ,  1.33722863725 ,  2.33427913521 ,  3.25891430085 ,  1.58177500317 ,  3.16742183238 ,  3.40244886268 ,  2.74782217877 ,  2.02421508291 ,  3.43543221065 ,  2.75801727099 ,  3.47512377666 ,  3.21835103328 ,  3.55187074828 ,  2.58031331124 ,  2.29762085226 ,  4.06586361021 ,  1.99885747247 ,  3.50018608759 ,  2.89382577221 ,  2.87643825366 ,  3.82574308484 ,  2.88754786537 ,  3.4611622107 ,  2.38718055664 ,  3.64932069411 ,  3.87850569272 ,  4.4113182732 ,  2.60367705107 ,  4.38603456884 ,  3.76237502142 ,  4.70449294799 ,  4.48489780315 ,  4.00217675235 ,  3.69113872225 ,  2.84381752466 ,  2.64490642981 ,  3.26550030106 ,  3.11284322531 ,  3.5278606601 ,  2.73389921687 ,  3.22909639958 ,  9.68749273327 ,  3.33794329991 ,  1.82267761822 ,  3.84960343354 ,  3.34947114286 ,  1.97525234047 ,  4.80490149444 ,  8.14703674908 ,  2.85123026634 ,  4.55860899603 ,  3.8336676661 ,  6.30110432527 ,  5.03219707113 ,  16.0849484556 ,  2.45380197659 ,  1.51388666902 ,  1.93585020619 ,  1.3686990979 ,  1.79589742566 ,  1.87033918163 ,  2.1347025076 ,  2.2107307156 ,  2.00306285687 ,  1.42081441613 ,  2.25800807735 ,  2.64485987569 ,  1.57499868863 ,  1.46970759794 ,  2.14947144609 ,  1.71494163207 ,  1.42890994211 ,  1.42921051412 ,  2.56822992844 ,  2.57491186436 ,  2.24887120575 ,  2.45006028512 ,  2.29030145929 ,  2.20357005345 ,  2.37107043373 ,  1.79574736231 ,  2.16022404774 ,  1.98744860352 ,  2.76517152188 ,  4.46927922498 ,  2.28449240154 ,  3.50934876462 ,  3.43002757824 ,  3.57237690717 ,  3.74711858238 ,  5.269319282 ,  1.91724186837 ,  2.37274846701 ,  2.74429162252 ,  4.33152677022 ,  5.19693037903 ,  4.14178144568 ,  1.3717559139 ,  5.10188377373 ,  15.3319173641 ,  2.72503824835 ,  4.43168328127 ,  2.77228298597 ,  4.00000047582 ,  2.78321470794 ,  4.4266595246 ,  12.3738675504 ,  2.2362768749 ,  3.53624063741 ,  2.17194051215 ,  1.80232955064 ,  3.11447942993 ,  5.58415288653 ,  14.1053921526 ,  8.57341416642 ,  3.15187293847 ,  2.76141329912 ,  4.07248264248 ,  1.99320484803 ,  2.91473616599 ,  2.20586857277 ,  2.94563619851 ,  5.42395269199 ,  29.078302079 ,  14.0218517407 ,  20.5513224061 ,  8.07341836515 ,  6.53713071169 ,  3.6100915748 ,  2.98813230058 ,  2.04783764553 ,  2.60001717019 ,  1.67795651189 ,  2.92481559366 ,  1.78590828584 ,  0.883847519117 ,  2.09792479628 ,  2.77275673653 ,  6.82743125648 ,  2.05469069428 ,  4.18963363872 ,  5.88560779047 ,  3.49943148138 ,  2.40634975286 ,  3.75794501409 ,  3.99229239053 ,  1.58456767841 ,  3.45776889589 ]
#    ftt1  = [ 3.31262327416 ,  1.84214332676 ,  1.11111111111 ,  2.03014464168 ,  1.93767258383 ,  1.65447074293 ,  9.03852728468 ,  1.27301117686 ,  1.26666666667 ,  9.82712031558 ,  10.434122288 ,  10.373339908 ,  9.46630506246 ,  4.1728139382 ,  5.41262327416 ,  4.27879684418 ,  6.29760026298 ,  9.66288625904 ,  11.6660420776 ,  11.8333333333 ,  10.6944444444 ,  10.0307034845 ,  3.57557527942 ,  11.5675871137 ,  10.4951347798 ,  12.6495069034 ,  8.61134122288 ,  7.35282708744 ,  15.2697238659 ,  11.763477975 ,  11.9313938199 ,  5.16702827087 ,  9.16988823143 ,  13.1682117028 ,  6.59408284024 ,  11.0944444444 ,  10.6555555556 ,  9.95519395135 ,  9.09247205786 ,  6.50575279421 ,  8.11604207758 ,  7.55410913872 ,  11.0204470743 ,  9.8771860618 ,  11.4343523997 ,  12.8762656147 ,  7.9865877712 ,  9.08829717291 ,  8.25016436555 ,  5.91666666667 ,  3.31130834977 ,  9.45788954635 ,  9.45358316897 ,  11.9777120316 ,  10.9437869822 ,  12.5656147272 ,  10.2722222222 ,  12.8760026298 ,  8.95239973702 ,  10.3648915187 ,  5.87370151216 ,  4.64280078895 ,  11.4609138725 ,  12.0109467456 ,  3.86985535832 ,  2.52258382643 ,  12.7899408284 ,  12.5566732413 ,  10.8793228139 ,  8.65 ,  3.78099934254 ,  10.8026298488 ,  7.08011176857 ,  13.9724194609 ,  8.85548980934 ,  10.6792899408 ,  1.92024983563 ,  8.36048652202 ,  10.8907626561 ,  12.25539119 ,  10.9333333333 ,  8.59119000657 ,  3.31245890861 ,  6.69470742932 ,  5.44224194609 ,  8.9033530572 ,  12.6318211703 ,  8.3892504931 ,  12.5443786982 ,  11.1166666667 ,  12.7669296515 ,  5.2476660092 ,  10.1997698882 ,  7.16147271532 ,  14.1570348455 ,  12.6276134122 ,  6.18612754767 ,  8.52889546351 ,  6.97771203156 ,  5.6845496384 ,  9.83563445102 ,  4.45420775805 ,  7.94322813938 ,  11.9659763314 ,  5.65262984878 ,  11.1993754109 ,  5.48007889546 ,  3.85 ,  7.94165023011 ,  5.82501643655 ,  13.3653188692 ,  12.3447074293 ,  8.30325443787 ,  9.31564760026 ,  1.98583168968 ,  5.0335634451 ,  3.27419460881 ,  5.45749506903 ,  9.69375410914 ,  10.5053583169 ,  5.52222222222 ,  8.88484549638 ,  4.34707429323 ,  7.59566074951 ,  11.1198224852 ,  3.9771860618 ,  14.2973701512 ,  5.28652202498 ,  9.70667324129 ,  9.508382643 ,  12.7611111111 ,  8.00660749507 ,  11.3608809993 ,  15.2407955293 ,  4.07712031558 ,  11.8497370151 ,  13.1331032216 ,  11.6076265615 ,  9.47376725838 ,  5.78333333333 ,  5.68783694938 ,  5.93011176857 ,  6.64806048652 ,  5.23185404339 ,  16.66617357 ,  9.43609467456 ,  2.10019723866 ,  2.68957922419 ,  4.42330703485 ,  9.30023011177 ,  10.2113412229 ,  7.99375410914 ,  8.58267587114 ,  10.5413872452 ,  5.42728468113 ,  6.30785667324 ,  8.36650230112 ,  7.07001972387 ,  8.60621301775 ,  4.16111111111 ,  5.93625904011 ]
#       
    time1 = [ 16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
    oftt1 = [3.43002757824 ,  3.57237690717 ,  3.74711858238 ,  5.269319282 ,  1.91724186837 ,  2.37274846701 ,  2.74429162252 ,  4.33152677022 ,  5.19693037903 ,  4.14178144568 ,  1.3717559139 ,  5.10188377373 ,  15.3319173641 ,  2.72503824835 ,  4.43168328127 ,  2.77228298597 ,  4.00000047582 ,  2.78321470794 ,  4.4266595246 ,  12.3738675504 ,  2.2362768749,
3.53624063741 ,  2.17194051215 ,  1.80232955064 ,  3.11447942993 ,  5.58415288653 ,  14.1053921526 ,  8.57341416642 ,  3.15187293847 ,  2.76141329912 ,  4.07248264248 ,  1.99320484803 ,  2.91473616599 ,  2.20586857277 ,  2.94563619851 ,  5.42395269199 ,  29.078302079 ,  14.0218517407 ,  20.5513224061 ,  8.07341836515 ,  6.53713071169,
3.6100915748 ,  2.98813230058 ,  2.04783764553 ,  2.60001717019 ,  1.67795651189 ,  2.92481559366 ,  1.78590828584 ,  0.883847519117 ,  2.09792479628 ,  2.77275673653 ,  6.82743125648 ,  2.05469069428 ,  4.18963363872 ,  5.88560779047 ,  3.49943148138 ,  2.40634975286 ,  3.75794501409 ,  3.99229239053 ,  1.58456767841 ,  3.45776889589,
3.41214758457 ,  4.49398564669 ,  5.74646562364 ,  5.48328679119 ,  4.47313718235 ,  3.42934089259 ,  3.73898217797 ,  4.26509845882 ,  3.09824723353 ,  3.33960558247 ,  2.80411588104 ,  3.82528798575 ,  2.5340502579 ,  1.54516681366 ,  2.14719559893 ,  3.13207277185 ,  6.40993917828 ,  6.15909118801 ,  2.40707452613 ,  2.20642583678]
    ofpt1 = [ 3.33126992611 ,  2.15235043881 ,  4.21215375236 ,  2.04146402499 ,  2.26508236112 ,  1.75842743987 ,  3.83752010319 ,  1.79356812562 ,  2.71647871756 ,  2.98920028076 ,  3.06963761795 ,  3.78037524154 ,  2.11330949347 ,  3.62306600989 ,  2.10132375418 ,  2.79890211351 ,  2.45220911956 ,  2.0962944359 ,  1.71888897623 ,  2.00237892092 ,  2.00237892092 ,  1.75017286044 ,  1.87819485903 ,  2.77200592938 ,  0.927552735382 ,  2.16110258543 ,  0.952612535679 ,  1.55876494568 ,  2.43936505277 ,  2.74032154014 ,  2.20187230613 ,  2.62732676781, 1.81709347884 ,  2.68646819361 ,  4.87840695719 ,  3.58804992604 ,  1.96027598281 ,  2.16400733578 ,  4.55698744552 ,  2.61612107743 ,  4.1007299461 ,  2.60197595024 ,  2.42772928849 ,  3.70504358394 ,  2.64089183244 ,  2.53083484208 ,  2.69596558723 ,  3.82189848477 ,  2.10858933652 ,  2.69381421149 ,  4.48942308279 ,  3.48776778082 ,  1.75831208948 ,  1.48030854681 ,  3.2901866737 ,  2.33799936521 ,  1.50491990853 ,  1.23953538087 ,  1.19008302381 ,  2.36576100342, 2.57888534853 ,  2.052794471 ,  2.64644323686 ,  1.35534774334 ,  5.6573022579 ,  4.76819909982 ,  1.85043233584 ,  3.46190356262 ,  5.28356384041 ,  1.84882416982 ,  3.01211103176 ,  4.59728665448 ,  8.01181670627 ,  6.44190774176 ,  7.57429158629 ,  5.66900034971 ,  4.30244931982 ,  6.23339404063 ,  6.88638460847 ,  4.63713969717 ,  5.75838213042 ,  3.38303474858 ,  4.29114582128 ,  2.74825804228 ,  2.33363923855 ,  2.26640425042 ,  4.06245325649 ,  3.02492973852 ,  4.13263598916, 4.06968874886 ,  3.87911988994]
    ftt1 =  [ 9.83563445102 ,  4.45420775805 ,  7.94322813938 ,  11.9659763314 ,  5.65262984878 ,  11.1993754109 ,  5.48007889546 ,  3.85 ,  7.94165023011 ,  5.82501643655 ,  13.3653188692 ,  12.3447074293 ,  8.30325443787 ,  9.31564760026 ,  1.98583168968 ,  5.0335634451 ,  3.27419460881 ,  5.45749506903 ,  9.69375410914 ,  10.5053583169 ,  5.52222222222 ,  8.88484549638 ,  4.34707429323 ,  7.59566074951 ,  11.1198224852 ,  3.9771860618 ,  14.2973701512 ,  5.28652202498 ,  9.70667324129 ,  9.508382643 ,  12.7611111111 ,  8.00660749507 ,  11.3608809993 ,  15.2407955293 ,  4.07712031558 ,  11.8497370151 ,  13.1331032216 ,  11.6076265615 ,  9.47376725838 ,  5.78333333333 ,  5.68783694938 ,  5.93011176857 ,  6.64806048652 ,  5.23185404339 ,  16.66617357 ,  9.43609467456 ,  2.10019723866 ,  2.68957922419 ,  4.42330703485 ,  9.30023011177 ,  10.2113412229 ,  7.99375410914 ,  8.58267587114 ,  10.5413872452 ,  5.42728468113 ,  6.30785667324 ,  8.36650230112 ,  7.07001972387 ,  8.60621301775 ,  4.16111111111 ,  5.93625904011 ,  6.18609467456 ,  6.48339907955 ,  8.11666666667 ,  6.93103221565 ,  7.29769888231 ,  5.49460880999 ,  6.24552925707 ,  5.84444444444 ,  3.8006574622 ,  7.56084812623 ,  8.12495069034 ,  6.20555555556 ,  10.6097633136 ,  2.70177514793 ,  7.62028270874 ,  3.81203155819 ,  5.08681788297 ,  4.42580539119 ,  4.42580539119 ,  4.42580539119 ]
    time = []
    oftt= []
    ftt = []
    ofpt = []
    for time10 in range(160,241,10):
        time01 = time10 / 10.0
        for i in range(len(time1)):
            if time1[i] == time01:
                print time1[i], oftt1[i], ftt1[i], ftt1[i]-oftt1[i]
                time.append(time1[i])
                oftt.append(oftt1[i])
                ftt.append(ftt1[i])
                ofpt.append(ofpt1[i])
                break
    print 'MEAN - oftt: ',np.mean(oftt)
    print 'MEAN - ftt:', np.mean(ftt)
    #print 'MEAN - ofpt: ', np.mean(ofpt)
        
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    xlim(16,24)
    #xlim(20,22)
    ylim(0,20)
    errorDis1.set_xlabel('Time',size=50)
    errorDis1.set_ylabel('MSE',size=50)
    errorDis1.plot(time,oftt,'sk-',label='TPO-T', linewidth=2.5, markersize=30,markerfacecolor='k',markeredgecolor='k')
    #errorDis1.plot(time,ofpt,'*r--',label='TPO-P', linewidth = 2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')    
    errorDis1.plot(time,ftt,'.b--',label='TP-T', linewidth = 2.5, markersize=60,markerfacecolor='b',markeredgecolor='b')    
    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':40}) 
    #errorDis1.legend(bbox_to_anchor=(0, 0.8), loc=0, borderaxespad=0.,prop={'size':40}) 
    plt.grid(True, linewidth = 3)
    plt.show()

#elif graph == 8:#Fine-grained versus Sparse - OFTT VS OST VS ST
#    time = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    oftt = [ 2.24145459457 ,  1.73143800808 ,  0.799179426583 ,  2.01173649785 ,  1.81718487406 ,  1.15549025585 ,  2.81841446511 ,  1.31058908497 ,  1.10303421876 ,  0.645413892646 ,  2.58626674665 ,  3.61801909886 ,  0.952661481413 ,  1.33722863725 ,  2.33427913521 ,  3.25891430085 ,  1.58177500317 ,  3.16742183238 ,  3.40244886268 ,  2.74782217877 ,  2.02421508291 ,  3.43543221065 ,  2.75801727099 ,  3.47512377666 ,  3.21835103328 ,  3.55187074828 ,  2.58031331124 ,  2.29762085226 ,  4.06586361021 ,  1.99885747247 ,  3.50018608759 ,  2.89382577221 ,  2.87643825366 ,  3.82574308484 ,  2.88754786537 ,  3.4611622107 ,  2.38718055664 ,  3.64932069411 ,  3.87850569272 ,  4.4113182732 ,  2.60367705107 ,  4.38603456884 ,  3.76237502142 ,  4.70449294799 ,  4.48489780315 ,  4.00217675235 ,  3.69113872225 ,  2.84381752466 ,  2.64490642981 ,  3.26550030106 ,  3.11284322531 ,  3.5278606601 ,  2.73389921687 ,  3.22909639958 ,  9.68749273327 ,  3.33794329991 ,  1.82267761822 ,  3.84960343354 ,  3.34947114286 ,  1.97525234047 ,  4.80490149444 ,  8.14703674908 ,  2.85123026634 ,  4.55860899603 ,  3.8336676661 ,  6.30110432527 ,  5.03219707113 ,  16.0849484556 ,  2.45380197659 ,  1.51388666902 ,  1.93585020619 ,  1.3686990979 ,  1.79589742566 ,  1.87033918163 ,  2.1347025076 ,  2.2107307156 ,  2.00306285687 ,  1.42081441613 ,  2.25800807735 ,  2.64485987569 ,  1.57499868863 ,  1.46970759794 ,  2.14947144609 ,  1.71494163207 ,  1.42890994211 ,  1.42921051412 ,  2.56822992844 ,  2.57491186436 ,  2.24887120575 ,  2.45006028512 ,  2.29030145929 ,  2.20357005345 ,  2.37107043373 ,  1.79574736231 ,  2.16022404774 ,  1.98744860352 ,  2.76517152188 ,  4.46927922498 ,  2.28449240154 ,  3.50934876462 ,  3.43002757824 ,  3.57237690717 ,  3.74711858238 ,  5.269319282 ,  1.91724186837 ,  2.37274846701 ,  2.74429162252 ,  4.33152677022 ,  5.19693037903 ,  4.14178144568 ,  1.3717559139 ,  5.10188377373 ,  15.3319173641 ,  2.72503824835 ,  4.43168328127 ,  2.77228298597 ,  4.00000047582 ,  2.78321470794 ,  4.4266595246 ,  12.3738675504 ,  2.2362768749 ,  3.53624063741 ,  2.17194051215 ,  1.80232955064 ,  3.11447942993 ,  5.58415288653 ,  14.1053921526 ,  8.57341416642 ,  3.15187293847 ,  2.76141329912 ,  4.07248264248 ,  1.99320484803 ,  2.91473616599 ,  2.20586857277 ,  2.94563619851 ,  5.42395269199 ,  29.078302079 ,  14.0218517407 ,  20.5513224061 ,  8.07341836515 ,  6.53713071169 ,  3.6100915748 ,  2.98813230058 ,  2.04783764553 ,  2.60001717019 ,  1.67795651189 ,  2.92481559366 ,  1.78590828584 ,  0.883847519117 ,  2.09792479628 ,  2.77275673653 ,  6.82743125648 ,  2.05469069428 ,  4.18963363872 ,  5.88560779047 ,  3.49943148138 ,  2.40634975286 ,  3.75794501409 ,  3.99229239053 ,  1.58456767841 ,  3.45776889589 ]
#    ost = [ 2.24145459457 ,  2.24150390481 ,  2.24160157068 ,  2.24154541048 ,  2.24165096754 ,  2.24156416751 ,  2.24154424534 ,  2.24160537945 ,  2.24158174951 ,  2.24155697598 ,  2.58626674665 ,  2.58651315777 ,  2.58647761895 ,  2.58615420166 ,  2.58582998612 ,  2.58653304882 ,  2.58643550042 ,  2.58628881372 ,  2.58641551167 ,  2.58635922712 ,  2.02421508291 ,  2.02413890694 ,  2.02442858644 ,  2.02417750308 ,  2.02447214622 ,  2.02452129394 ,  2.02449826825 ,  2.02454781034 ,  2.0246178531 ,  2.02472594458 ,  3.50018608759 ,  3.50021149392 ,  3.5001778362 ,  3.4999871984 ,  3.49966745973 ,  3.49974419557 ,  3.49971657453 ,  3.49992247582 ,  3.49997284919 ,  3.50004402955 ,  2.60367705107 ,  2.60364361699 ,  2.60358095197 ,  2.6035737646 ,  2.60376176423 ,  2.60379002292 ,  2.60392286751 ,  2.60380606518 ,  2.60395301256 ,  2.60403720999 ,  3.11284322531 ,  3.11294065863 ,  3.11320027167 ,  3.11310023084 ,  4.23680345074 ,  5.61018828683 ,  5.6101724322 ,  4.18315776635 ,  5.73910557436 ,  5.44513952726 ,  4.80490149444 ,  10.571419832 ,  9.9894125071 ,  2.31062503166 ,  2.78475701539 ,  2.69198701278 ,  5.40366846756 ,  2.59697912618 ,  2.38099441773 ,  1.92208874577 ,  1.93585020619 ,  1.93584567631 ,  1.93592959276 ,  1.93596951414 ,  1.93583480579 ,  1.93583193461 ,  1.93580102166 ,  1.93597826524 ,  1.93619603052 ,  1.93590715287 ,  1.57499868863 ,  1.5749760717 ,  1.57507821613 ,  1.57517139311 ,  1.57501166489 ,  1.57505542948 ,  1.57502772625 ,  1.57500269532 ,  1.57497062594 ,  1.57492619951 ,  2.29030145929 ,  2.29029926995 ,  2.29032785481 ,  2.29029409664 ,  2.29031690043 ,  2.2902760209 ,  2.29025850795 ,  10.6389547626 ,  3.64422975127 ,  4.84048889669 ,  3.43002757824 ,  2.28733191125 ,  2.75618170794 ,  4.76424916891 ,  3.17259498983 ,  2.59664877246 ,  3.15006947424 ,  3.26618014387 ,  3.04521485321 ,  2.55062412687 ,  1.3717559139 ,  1.76520348559 ,  2.23178357139 ,  2.405443981 ,  2.83351396035 ,  1.93231284524 ,  1.8050035566 ,  1.41710971648 ,  1.58369242831 ,  1.54404424358 ,  2.2362768749 ,  3.64886396317 ,  3.47349559941 ,  7.17628356273 ,  6.31312432532 ,  3.26569177068 ,  3.51454086222 ,  4.2029459805 ,  4.29810335828 ,  3.50583569626 ,  4.07248264248 ,  3.64445503638 ,  4.58977551724 ,  6.83383951606 ,  5.61952037412 ,  7.9323947967 ,  10.6515409923 ,  3.44412410153 ,  3.47500524815 ,  3.30586647519 ,  6.53713071169 ,  6.10459533671 ,  6.33886814641 ,  3.82280962405 ,  3.85671536267 ,  3.83591260678 ,  5.29918121366 ,  4.38496928742 ,  5.47833842958 ,  4.96168092107 ,  2.77275673653 ,  8.86933104851 ,  8.14646142863 ,  3.16932097772 ,  2.70739045356 ,  2.21505260375 ,  2.83098904077 ,  2.29141257188 ,  2.29140850647 ,  2.29168152313 ,  3.45776889589 ]
#    st = [ 4.23333333333 ,  1.91120344721 ,  1.12902431517 ,  2.41498922745 ,  1.81859033549 ,  1.63213296399 ,  10.573530317 ,  1.29830717144 ,  1.25650969529 ,  11.1518928901 ,  13.1279470606 ,  13.2305016928 ,  11.0717143737 ,  5.20024622961 ,  5.29923053247 ,  4.3134195137 ,  7.62896275777 ,  11.4342259157 ,  11.8951985226 ,  14.2584487535 ,  11.4821175746 ,  11.0361034164 ,  3.25555555556 ,  12.0195444752 ,  12.4202831641 ,  14.9030163127 ,  9.77802400739 ,  8.78781163435 ,  19.5209295168 ,  14.471160357 ,  13.3222222222 ,  6.34241305017 ,  9.58744228994 ,  16.3916281933 ,  7.47756232687 ,  11.7395814097 ,  11.9888888889 ,  12.762819329 ,  10.1409972299 ,  6.17143736534 ,  9.6406586642 ,  6.96866728224 ,  12.1624192059 ,  10.2310864882 ,  11.9444136657 ,  12.7252077562 ,  8.55660203139 ,  9.30098491844 ,  8.51785164666 ,  6.02733148661 ,  3.48627269929 ,  10.6470298553 ,  9.79270544783 ,  15.3112034472 ,  12.3790397045 ,  12.2156663589 ,  11.0957525392 ,  15.3722376116 ,  9.39907663897 ,  11.7671283472 ,  6.17762388427 ,  5.24976915974 ,  13.2331794398 ,  13.5876885195 ,  4.00212373038 ,  2.42662357649 ,  15.2936595876 ,  15.1204370576 ,  11.7653739612 ,  9.53314866113 ,  4.41135734072 ,  12.3032317636 ,  7.38036318867 ,  17.5147122191 ,  9.2458602647 ,  11.92440751 ,  1.99270544783 ,  9.78722683903 ,  12.1 ,  11.0111111111 ,  12.3769775315 ,  10.2677131425 ,  3.33259464451 ,  7.12791628193 ,  6.03551862111 ,  9.95697137581 ,  15.45829486 ,  11.0517082179 ,  13.9944598338 ,  15.0951061865 ,  14.2333333333 ,  5.30492459218 ,  11.2444444444 ,  8.62092951677 ,  15.5787934749 ,  15.3064943059 ,  7.83868882733 ,  9.79950754078 ,  7.35189289012 ,  7.44198214835 ,  10.5555555556 ,  4.81720529394 ,  8.23145583256 ,  13.9868574946 ,  6.33136349646 ,  12.5441674361 ,  5.83810403201 ,  3.80184672207 ,  8.47860880271 ,  5.89692212989 ,  15.5448445676 ,  12.6172668513 ,  8.82603878116 ,  11.0591258849 ,  2.00855647892 ,  4.93958140966 ,  3.34032009849 ,  5.42954755309 ,  10.4911049554 ,  11.1313019391 ,  6.96118805786 ,  9.19165897199 ,  4.20200061557 ,  8.52379193598 ,  12.92440751 ,  4.19750692521 ,  14.7851954448 ,  5.84032009849 ,  11.3111111111 ,  10.4238227147 ,  13.2887657741 ,  9.16666666667 ,  13.203293321 ,  16.8033548784 ,  4.04742997845 ,  13.6252077562 ,  14.8711295783 ,  13.0132963989 ,  12.0515235457 ,  7.21292705448 ,  6.29165897199 ,  6.39165897199 ,  7.58328716528 ,  5.63376423515 ,  18.6797783934 ,  9.96118805786 ,  2.44235149277 ,  2.37516158818 ,  4.66300400123 ,  9.41326562019 ,  11.9442289935 ,  12.4474299785 ,  9.57473068637 ,  13.9555555556 ,  5.68054786088 ,  8.69504462912 ,  8.54216682056 ,  9.81111111111 ,  10.7211449677 ,  5.27860880271 ,  7.42671591259 ]
#    
#    print 'MEAN - oftt: ',np.mean(oftt)
#    print 'MEAN - ost:', np.mean(ost)
#    print 'MEAN - st:', np.mean(st)
#    
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    xlim(6,22)
#    errorDis1.set_xlabel('time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,oftt,'vr--',label='OFTT', linewidth=2.5, markersize=6,markerfacecolor='w',markeredgecolor='r')
#    errorDis1.plot(time,ost,'ok-',label='OST', linewidth = 2.5, markersize=6,markerfacecolor='w',markeredgecolor='k')    
#    errorDis1.plot(time,st,'sb-',label='ST', linewidth = 2.5, markersize=6,markerfacecolor='w',markeredgecolor='k')    
#    errorDis1.legend(bbox_to_anchor=(0.3, 1), prop={'size':40}) 
#    plt.show()  
#elif graph == 9:#fine-grained versus sparse - ST VS FTT
#    time = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    st = [ 4.23333333333 ,  1.91120344721 ,  1.12902431517 ,  2.41498922745 ,  1.81859033549 ,  1.63213296399 ,  10.573530317 ,  1.29830717144 ,  1.25650969529 ,  11.1518928901 ,  13.1279470606 ,  13.2305016928 ,  11.0717143737 ,  5.20024622961 ,  5.29923053247 ,  4.3134195137 ,  7.62896275777 ,  11.4342259157 ,  11.8951985226 ,  14.2584487535 ,  11.4821175746 ,  11.0361034164 ,  3.25555555556 ,  12.0195444752 ,  12.4202831641 ,  14.9030163127 ,  9.77802400739 ,  8.78781163435 ,  19.5209295168 ,  14.471160357 ,  13.3222222222 ,  6.34241305017 ,  9.58744228994 ,  16.3916281933 ,  7.47756232687 ,  11.7395814097 ,  11.9888888889 ,  12.762819329 ,  10.1409972299 ,  6.17143736534 ,  9.6406586642 ,  6.96866728224 ,  12.1624192059 ,  10.2310864882 ,  11.9444136657 ,  12.7252077562 ,  8.55660203139 ,  9.30098491844 ,  8.51785164666 ,  6.02733148661 ,  3.48627269929 ,  10.6470298553 ,  9.79270544783 ,  15.3112034472 ,  12.3790397045 ,  12.2156663589 ,  11.0957525392 ,  15.3722376116 ,  9.39907663897 ,  11.7671283472 ,  6.17762388427 ,  5.24976915974 ,  13.2331794398 ,  13.5876885195 ,  4.00212373038 ,  2.42662357649 ,  15.2936595876 ,  15.1204370576 ,  11.7653739612 ,  9.53314866113 ,  4.41135734072 ,  12.3032317636 ,  7.38036318867 ,  17.5147122191 ,  9.2458602647 ,  11.92440751 ,  1.99270544783 ,  9.78722683903 ,  12.1 ,  11.0111111111 ,  12.3769775315 ,  10.2677131425 ,  3.33259464451 ,  7.12791628193 ,  6.03551862111 ,  9.95697137581 ,  15.45829486 ,  11.0517082179 ,  13.9944598338 ,  15.0951061865 ,  14.2333333333 ,  5.30492459218 ,  11.2444444444 ,  8.62092951677 ,  15.5787934749 ,  15.3064943059 ,  7.83868882733 ,  9.79950754078 ,  7.35189289012 ,  7.44198214835 ,  10.5555555556 ,  4.81720529394 ,  8.23145583256 ,  13.9868574946 ,  6.33136349646 ,  12.5441674361 ,  5.83810403201 ,  3.80184672207 ,  8.47860880271 ,  5.89692212989 ,  15.5448445676 ,  12.6172668513 ,  8.82603878116 ,  11.0591258849 ,  2.00855647892 ,  4.93958140966 ,  3.34032009849 ,  5.42954755309 ,  10.4911049554 ,  11.1313019391 ,  6.96118805786 ,  9.19165897199 ,  4.20200061557 ,  8.52379193598 ,  12.92440751 ,  4.19750692521 ,  14.7851954448 ,  5.84032009849 ,  11.3111111111 ,  10.4238227147 ,  13.2887657741 ,  9.16666666667 ,  13.203293321 ,  16.8033548784 ,  4.04742997845 ,  13.6252077562 ,  14.8711295783 ,  13.0132963989 ,  12.0515235457 ,  7.21292705448 ,  6.29165897199 ,  6.39165897199 ,  7.58328716528 ,  5.63376423515 ,  18.6797783934 ,  9.96118805786 ,  2.44235149277 ,  2.37516158818 ,  4.66300400123 ,  9.41326562019 ,  11.9442289935 ,  12.4474299785 ,  9.57473068637 ,  13.9555555556 ,  5.68054786088 ,  8.69504462912 ,  8.54216682056 ,  9.81111111111 ,  10.7211449677 ,  5.27860880271 ,  7.42671591259 ]
#    ftt  = [ 3.31262327416 ,  1.84214332676 ,  1.11111111111 ,  2.03014464168 ,  1.93767258383 ,  1.65447074293 ,  9.03852728468 ,  1.27301117686 ,  1.26666666667 ,  9.82712031558 ,  10.434122288 ,  10.373339908 ,  9.46630506246 ,  4.1728139382 ,  5.41262327416 ,  4.27879684418 ,  6.29760026298 ,  9.66288625904 ,  11.6660420776 ,  11.8333333333 ,  10.6944444444 ,  10.0307034845 ,  3.57557527942 ,  11.5675871137 ,  10.4951347798 ,  12.6495069034 ,  8.61134122288 ,  7.35282708744 ,  15.2697238659 ,  11.763477975 ,  11.9313938199 ,  5.16702827087 ,  9.16988823143 ,  13.1682117028 ,  6.59408284024 ,  11.0944444444 ,  10.6555555556 ,  9.95519395135 ,  9.09247205786 ,  6.50575279421 ,  8.11604207758 ,  7.55410913872 ,  11.0204470743 ,  9.8771860618 ,  11.4343523997 ,  12.8762656147 ,  7.9865877712 ,  9.08829717291 ,  8.25016436555 ,  5.91666666667 ,  3.31130834977 ,  9.45788954635 ,  9.45358316897 ,  11.9777120316 ,  10.9437869822 ,  12.5656147272 ,  10.2722222222 ,  12.8760026298 ,  8.95239973702 ,  10.3648915187 ,  5.87370151216 ,  4.64280078895 ,  11.4609138725 ,  12.0109467456 ,  3.86985535832 ,  2.52258382643 ,  12.7899408284 ,  12.5566732413 ,  10.8793228139 ,  8.65 ,  3.78099934254 ,  10.8026298488 ,  7.08011176857 ,  13.9724194609 ,  8.85548980934 ,  10.6792899408 ,  1.92024983563 ,  8.36048652202 ,  10.8907626561 ,  12.25539119 ,  10.9333333333 ,  8.59119000657 ,  3.31245890861 ,  6.69470742932 ,  5.44224194609 ,  8.9033530572 ,  12.6318211703 ,  8.3892504931 ,  12.5443786982 ,  11.1166666667 ,  12.7669296515 ,  5.2476660092 ,  10.1997698882 ,  7.16147271532 ,  14.1570348455 ,  12.6276134122 ,  6.18612754767 ,  8.52889546351 ,  6.97771203156 ,  5.6845496384 ,  9.83563445102 ,  4.45420775805 ,  7.94322813938 ,  11.9659763314 ,  5.65262984878 ,  11.1993754109 ,  5.48007889546 ,  3.85 ,  7.94165023011 ,  5.82501643655 ,  13.3653188692 ,  12.3447074293 ,  8.30325443787 ,  9.31564760026 ,  1.98583168968 ,  5.0335634451 ,  3.27419460881 ,  5.45749506903 ,  9.69375410914 ,  10.5053583169 ,  5.52222222222 ,  8.88484549638 ,  4.34707429323 ,  7.59566074951 ,  11.1198224852 ,  3.9771860618 ,  14.2973701512 ,  5.28652202498 ,  9.70667324129 ,  9.508382643 ,  12.7611111111 ,  8.00660749507 ,  11.3608809993 ,  15.2407955293 ,  4.07712031558 ,  11.8497370151 ,  13.1331032216 ,  11.6076265615 ,  9.47376725838 ,  5.78333333333 ,  5.68783694938 ,  5.93011176857 ,  6.64806048652 ,  5.23185404339 ,  16.66617357 ,  9.43609467456 ,  2.10019723866 ,  2.68957922419 ,  4.42330703485 ,  9.30023011177 ,  10.2113412229 ,  7.99375410914 ,  8.58267587114 ,  10.5413872452 ,  5.42728468113 ,  6.30785667324 ,  8.36650230112 ,  7.07001972387 ,  8.60621301775 ,  4.16111111111 ,  5.93625904011 ]
#    
#    print 'MEAN - stt: ',np.mean(st)
#    print 'MEAN - ftt:', np.mean(ftt)
#    
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    xlim(6,22)
#    errorDis1.set_xlabel('time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,st,'vr--',label='STT', linewidth=2.5, markersize=6,markerfacecolor='w',markeredgecolor='r')
#    errorDis1.plot(time,ftt,'ok-',label='FTT', linewidth = 2.5, markersize=6,markerfacecolor='w',markeredgecolor='k')    
#    errorDis1.legend(bbox_to_anchor=(0.43, 1.03), prop={'size':40}) 
#    plt.show()
#elif graph == 10:#permernant versus temporary - OFVT VS OFTT
#    time = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    oftt = [ 2.24145459457 ,  1.73143800808 ,  0.799179426583 ,  2.01173649785 ,  1.81718487406 ,  1.15549025585 ,  2.81841446511 ,  1.31058908497 ,  1.10303421876 ,  0.645413892646 ,  2.58626674665 ,  3.61801909886 ,  0.952661481413 ,  1.33722863725 ,  2.33427913521 ,  3.25891430085 ,  1.58177500317 ,  3.16742183238 ,  3.40244886268 ,  2.74782217877 ,  2.02421508291 ,  3.43543221065 ,  2.75801727099 ,  3.47512377666 ,  3.21835103328 ,  3.55187074828 ,  2.58031331124 ,  2.29762085226 ,  4.06586361021 ,  1.99885747247 ,  3.50018608759 ,  2.89382577221 ,  2.87643825366 ,  3.82574308484 ,  2.88754786537 ,  3.4611622107 ,  2.38718055664 ,  3.64932069411 ,  3.87850569272 ,  4.4113182732 ,  2.60367705107 ,  4.38603456884 ,  3.76237502142 ,  4.70449294799 ,  4.48489780315 ,  4.00217675235 ,  3.69113872225 ,  2.84381752466 ,  2.64490642981 ,  3.26550030106 ,  3.11284322531 ,  3.5278606601 ,  2.73389921687 ,  3.22909639958 ,  9.68749273327 ,  3.33794329991 ,  1.82267761822 ,  3.84960343354 ,  3.34947114286 ,  1.97525234047 ,  4.80490149444 ,  8.14703674908 ,  2.85123026634 ,  4.55860899603 ,  3.8336676661 ,  6.30110432527 ,  5.03219707113 ,  16.0849484556 ,  2.45380197659 ,  1.51388666902 ,  1.93585020619 ,  1.3686990979 ,  1.79589742566 ,  1.87033918163 ,  2.1347025076 ,  2.2107307156 ,  2.00306285687 ,  1.42081441613 ,  2.25800807735 ,  2.64485987569 ,  1.57499868863 ,  1.46970759794 ,  2.14947144609 ,  1.71494163207 ,  1.42890994211 ,  1.42921051412 ,  2.56822992844 ,  2.57491186436 ,  2.24887120575 ,  2.45006028512 ,  2.29030145929 ,  2.20357005345 ,  2.37107043373 ,  1.79574736231 ,  2.16022404774 ,  1.98744860352 ,  2.76517152188 ,  4.46927922498 ,  2.28449240154 ,  3.50934876462 ,  3.43002757824 ,  3.57237690717 ,  3.74711858238 ,  5.269319282 ,  1.91724186837 ,  2.37274846701 ,  2.74429162252 ,  4.33152677022 ,  5.19693037903 ,  4.14178144568 ,  1.3717559139 ,  5.10188377373 ,  15.3319173641 ,  2.72503824835 ,  4.43168328127 ,  2.77228298597 ,  4.00000047582 ,  2.78321470794 ,  4.4266595246 ,  12.3738675504 ,  2.2362768749 ,  3.53624063741 ,  2.17194051215 ,  1.80232955064 ,  3.11447942993 ,  5.58415288653 ,  14.1053921526 ,  8.57341416642 ,  3.15187293847 ,  2.76141329912 ,  4.07248264248 ,  1.99320484803 ,  2.91473616599 ,  2.20586857277 ,  2.94563619851 ,  5.42395269199 ,  29.078302079 ,  14.0218517407 ,  20.5513224061 ,  8.07341836515 ,  6.53713071169 ,  3.6100915748 ,  2.98813230058 ,  2.04783764553 ,  2.60001717019 ,  1.67795651189 ,  2.92481559366 ,  1.78590828584 ,  0.883847519117 ,  2.09792479628 ,  2.77275673653 ,  6.82743125648 ,  2.05469069428 ,  4.18963363872 ,  5.88560779047 ,  3.49943148138 ,  2.40634975286 ,  3.75794501409 ,  3.99229239053 ,  1.58456767841 ,  3.45776889589 ]
#    ofvt = [ 2.05429571822 ,  3.36784815988 ,  1.11392064372 ,  1.77130036868 ,  2.40097316633 ,  1.1795105842 ,  4.40908870522 ,  1.20234327393 ,  1.53116700698 ,  0.758426455504 ,  2.27056885832 ,  6.69284403724 ,  1.72634931807 ,  1.79443156061 ,  2.3627361475 ,  3.13363388955 ,  1.64697060448 ,  3.33437357821 ,  2.91105347702 ,  2.79651333685 ,  1.90853083009 ,  3.42777558235 ,  2.91875962501 ,  3.16122322568 ,  4.18319819543 ,  4.13453291622 ,  3.27705792286 ,  3.15561621013 ,  3.69088046958 ,  2.69571707198 ,  6.21877210987 ,  3.80521312255 ,  2.80905053455 ,  3.84978876547 ,  4.35427026596 ,  3.25043175112 ,  2.42182162489 ,  3.78116784597 ,  3.78621538303 ,  6.29453981004 ,  2.45846384284 ,  3.86763772503 ,  3.65777241052 ,  4.75716697496 ,  4.36955831779 ,  3.61926994237 ,  3.8975632573 ,  5.30003335144 ,  4.60091672709 ,  3.94401742731 ,  3.0415930773 ,  5.01697535057 ,  10.4547279939 ,  3.54792608684 ,  8.09942179372 ,  3.25423542607 ,  424.07078737 ,  3.44069751745 ,  1.52631587638 ,  2.30097152013 ,  37.1350045355 ,  22.9997926372 ,  14.7371525647 ,  38.6674526991 ,  15.674698002 ,  42.4006555304 ,  51.0958065367 ,  16.59633705 ,  2.2331527292 ,  1.53910297988 ,  1.80057511296 ,  1.65019374223 ,  2.13937101601 ,  2.64032108751 ,  3.29856381511 ,  3.35567768402 ,  10.16826473 ,  12.3248427335 ,  3.94381564576 ,  38.7997110371 ,  3.77614636939 ,  37.118095706 ,  2.0844917468 ,  1.61107703352 ,  1.95490982876 ,  1.32948890753 ,  2.52802917565 ,  2.45580863342 ,  2.23893328376 ,  2.90948577316 ,  2.60494877152 ,  31.4969409885 ,  15.8161154225 ,  86.5177380917 ,  16.226494621 ,  39.496739585 ,  303.42152751 ,  6.16748171149 ,  28.1471084565 ,  24.8634730273 ,  8.63674877368 ,  4.89839154187 ,  52.1081776129 ,  96.281263685 ,  10.2135689576 ,  10.8419205627 ,  36.7155193532 ,  60.7924785269 ,  4.89753908229 ,  35.6341399982 ,  10.6584008018 ,  101.07195536 ,  70.6921815743 ,  4.15444443611 ,  17.6088269352 ,  3.35415541548 ,  1.97262258216 ,  1.55263141222 ,  11.9175738575 ,  6.77550610997 ,  23.3661551336 ,  6.68361548325 ,  3.81910781971 ,  2.62356871722 ,  147.905888841 ,  10.2560125697 ,  2.63757288544 ,  32.2301408083 ,  53.9156940427 ,  20.7887463728 ,  5.72460389721 ,  110.334056081 ,  67.0164515726 ,  3.09338949656 ,  3.64290962531 ,  6.61168130465 ,  195.269638433 ,  18.3030180028 ,  73.6491554261 ,  5.09382056135 ,  617.499894131 ,  456.814453235 ,  2.65520716836 ,  3.77275590846 ,  66.2700817286 ,  1.52944386578 ,  51.7707741905 ,  3.9676483662 ,  1.09797876158 ,  7.02634213457 ,  7.27192491723 ,  2.54237615732 ,  7.18028998593 ,  13.0036761023 ,  25.1852055606 ,  42.0696852235 ,  11.4732413721 ,  21.9406068357 ,  37.2396447596 ,  51.8791381574 ,  11.8775509595 ]
#    print 'MEAN - oftt: ',np.mean(oftt)
#    print 'MEAN - ofvt:', np.mean(ofvt)
#    
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    ylim(0,40)
#    xlim(6,22)
#    errorDis1.set_xlabel('time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,ofvt,'*r--',label='OFVT', linewidth = 2.5, markersize=6,markerfacecolor='r',markeredgecolor='r')    
#    errorDis1.plot(time,oftt,'sk-',label='OFTT', linewidth=2.5, markersize=6,markerfacecolor='k',markeredgecolor='k')
#    errorDis1.legend(bbox_to_anchor=(0.25, 1), prop={'size':40}) 
#    plt.show()
#elif graph == 11:#Fine-grained versus Sparse - FTT VS FVT VS FPT
#    time = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    ftt = [ 3.31262327416 ,  1.84214332676 ,  1.11111111111 ,  2.03014464168 ,  1.93767258383 ,  1.65447074293 ,  9.03852728468 ,  1.27301117686 ,  1.26666666667 ,  9.82712031558 ,  10.434122288 ,  10.373339908 ,  9.46630506246 ,  4.1728139382 ,  5.41262327416 ,  4.27879684418 ,  6.29760026298 ,  9.66288625904 ,  11.6660420776 ,  11.8333333333 ,  10.6944444444 ,  10.0307034845 ,  3.57557527942 ,  11.5675871137 ,  10.4951347798 ,  12.6495069034 ,  8.61134122288 ,  7.35282708744 ,  15.2697238659 ,  11.763477975 ,  11.9313938199 ,  5.16702827087 ,  9.16988823143 ,  13.1682117028 ,  6.59408284024 ,  11.0944444444 ,  10.6555555556 ,  9.95519395135 ,  9.09247205786 ,  6.50575279421 ,  8.11604207758 ,  7.55410913872 ,  11.0204470743 ,  9.8771860618 ,  11.4343523997 ,  12.8762656147 ,  7.9865877712 ,  9.08829717291 ,  8.25016436555 ,  5.91666666667 ,  3.31130834977 ,  9.45788954635 ,  9.45358316897 ,  11.9777120316 ,  10.9437869822 ,  12.5656147272 ,  10.2722222222 ,  12.8760026298 ,  8.95239973702 ,  10.3648915187 ,  5.87370151216 ,  4.64280078895 ,  11.4609138725 ,  12.0109467456 ,  3.86985535832 ,  2.52258382643 ,  12.7899408284 ,  12.5566732413 ,  10.8793228139 ,  8.65 ,  3.78099934254 ,  10.8026298488 ,  7.08011176857 ,  13.9724194609 ,  8.85548980934 ,  10.6792899408 ,  1.92024983563 ,  8.36048652202 ,  10.8907626561 ,  12.25539119 ,  10.9333333333 ,  8.59119000657 ,  3.31245890861 ,  6.69470742932 ,  5.44224194609 ,  8.9033530572 ,  12.6318211703 ,  8.3892504931 ,  12.5443786982 ,  11.1166666667 ,  12.7669296515 ,  5.2476660092 ,  10.1997698882 ,  7.16147271532 ,  14.1570348455 ,  12.6276134122 ,  6.18612754767 ,  8.52889546351 ,  6.97771203156 ,  5.6845496384 ,  9.83563445102 ,  4.45420775805 ,  7.94322813938 ,  11.9659763314 ,  5.65262984878 ,  11.1993754109 ,  5.48007889546 ,  3.85 ,  7.94165023011 ,  5.82501643655 ,  13.3653188692 ,  12.3447074293 ,  8.30325443787 ,  9.31564760026 ,  1.98583168968 ,  5.0335634451 ,  3.27419460881 ,  5.45749506903 ,  9.69375410914 ,  10.5053583169 ,  5.52222222222 ,  8.88484549638 ,  4.34707429323 ,  7.59566074951 ,  11.1198224852 ,  3.9771860618 ,  14.2973701512 ,  5.28652202498 ,  9.70667324129 ,  9.508382643 ,  12.7611111111 ,  8.00660749507 ,  11.3608809993 ,  15.2407955293 ,  4.07712031558 ,  11.8497370151 ,  13.1331032216 ,  11.6076265615 ,  9.47376725838 ,  5.78333333333 ,  5.68783694938 ,  5.93011176857 ,  6.64806048652 ,  5.23185404339 ,  16.66617357 ,  9.43609467456 ,  2.10019723866 ,  2.68957922419 ,  4.42330703485 ,  9.30023011177 ,  10.2113412229 ,  7.99375410914 ,  8.58267587114 ,  10.5413872452 ,  5.42728468113 ,  6.30785667324 ,  8.36650230112 ,  7.07001972387 ,  8.60621301775 ,  4.16111111111 ,  5.93625904011 ]   
#    fvt= [ 3.13888888889 ,  3.16840277778 ,  1.37037037037 ,  1.8744212963 ,  2.31423611111 ,  1.73148148148 ,  11.2569444444 ,  1.33043981481 ,  1.60127314815 ,  9.50868055556 ,  10.5480324074 ,  9.21238425926 ,  8.8119212963 ,  5.78935185185 ,  5.69444444444 ,  4.25405092593 ,  6.953125 ,  10.3356481481 ,  11.1851851852 ,  10.8981481481 ,  10.3582175926 ,  11.2517361111 ,  3.60590277778 ,  10.8211805556 ,  10.5387731481 ,  12.9837962963 ,  9.33043981481 ,  8.70543981481 ,  15.1984953704 ,  13.1452546296 ,  12.025462963 ,  5.09259259259 ,  8.60127314815 ,  12.4467592593 ,  8.61979166667 ,  10.8518518519 ,  10.2563657407 ,  10.5387731481 ,  9.73148148148 ,  11.2378472222 ,  8.57638888889 ,  7.60185185185 ,  11.1226851852 ,  11.3883101852 ,  10.8582175926 ,  13.1753472222 ,  9.42997685185 ,  8.6412037037 ,  8.98321759259 ,  6.01099537037 ,  3.34895833333 ,  12.8055555556 ,  9.65046296296 ,  14.3611111111 ,  10.0648148148 ,  16.4554398148 ,  12.1944444444 ,  13.2957175926 ,  9.13888888889 ,  11.5179398148 ,  5.78877314815 ,  4.52488425926 ,  12.6313657407 ,  12.4930555556 ,  3.57407407407 ,  4.65740740741 ,  11.2893518519 ,  12.0115740741 ,  9.74074074074 ,  8.75173611111 ,  4.30787037037 ,  10.4716435185 ,  7.13136574074 ,  13.6458333333 ,  9.27546296296 ,  11.5439814815 ,  2.21296296296 ,  8.10185185185 ,  11.5827546296 ,  15.3240740741 ,  11.6753472222 ,  10.7314814815 ,  3.13888888889 ,  6.37962962963 ,  5.39814814815 ,  9.14293981481 ,  11.7777777778 ,  8.29340277778 ,  12.9976851852 ,  10.2893518519 ,  13.6319444444 ,  5.40046296296 ,  12.0202546296 ,  8.3587962963 ,  13.9855324074 ,  11.8883101852 ,  6.40972222222 ,  7.98321759259 ,  8.72453703704 ,  4.77719907407 ,  10.5277777778 ,  5.4994212963 ,  8.57118055556 ,  11.3373842593 ,  5.6875 ,  13.1359953704 ,  5.29398148148 ,  3.90451388889 ,  7.55266203704 ,  5.88831018519 ,  14.6915509259 ,  11.6134259259 ,  9.18229166667 ,  9.80266203704 ,  2.17766203704 ,  4.8587962963 ,  4.19444444444 ,  5.18229166667 ,  8.67534722222 ,  10.4166666667 ,  5.50636574074 ,  10.6481481481 ,  4.15972222222 ,  7.37037037037 ,  9.28703703704 ,  3.83043981481 ,  15.4832175926 ,  5.12905092593 ,  10.4924768519 ,  8.7193287037 ,  11.6388888889 ,  8.61053240741 ,  13.3726851852 ,  14.275462963 ,  4.04340277778 ,  11.775462963 ,  14.1846064815 ,  11.0318287037 ,  8.41608796296 ,  5.41898148148 ,  6.69212962963 ,  6.19675925926 ,  6.34490740741 ,  5.64583333333 ,  15.1574074074 ,  10.4652777778 ,  1.84027777778 ,  2.703125 ,  5.65509259259 ,  9.828125 ,  9.66898148148 ,  7.85416666667 ,  9.7037037037 ,  10.1018518519 ,  7.44155092593 ,  6.37268518519 ,  10.7447916667 ,  6.92824074074 ,  7.6869212963 ,  6.14525462963 ,  5.92303240741 ] 
#    fpt = [ 0.0254999985561 ,  2.96544970076 ,  1.10649009379 ,  2.19294799695 ,  1.50794645081 ,  1.68366532034 ,  5.61536951966 ,  0.868700381722 ,  1.09210752254 ,  5.95541580919 ,  6.20790983488 ,  5.55970217734 ,  8.80495168396 ,  4.69713993275 ,  4.10293878506 ,  2.62278009911 ,  2.89803908428 ,  5.35898065688 ,  7.00889070077 ,  2.92864486865 ,  2.19107386575 ,  3.35177396526 ,  3.19663819321 ,  4.31114558615 ,  5.84817201427 ,  7.57545779677 ,  2.98787059613 ,  3.13327149437 ,  4.15443401076 ,  2.4898757309 ,  5.33227652797 ,  3.04411020435 ,  4.22864588281 ,  5.08081879681 ,  3.2402790978 ,  4.09579734543 ,  4.68224827713 ,  3.99450453609 ,  3.13460943801 ,  3.86003279779 ,  3.99996283158 ,  6.69870006177 ,  5.43664655957 ,  5.47535017578 ,  6.46448120835 ,  6.50446048739 ,  6.25447280789 ,  2.34073638403 ,  2.51018425493 ,  4.39157554636 ,  3.01465443855 ,  6.85867254067 ,  4.18678532822 ,  4.34100282258 ,  4.39160670252 ,  4.41108933569 ,  4.28287126176 ,  6.00471686275 ,  1.76579471543 ,  4.17638959284 ,  4.76078070513 ,  4.98240253449 ,  4.73139727848 ,  5.8443373329 ,  2.69790923466 ,  1.99776314219 ,  4.4384488252 ,  3.06212707365 ,  3.14208661087 ,  4.68935457119 ,  3.4374792002 ,  4.03163823273 ,  5.26416909418 ,  6.21310285352 ,  3.2579989159 ,  5.20452995917 ,  1.36472220075 ,  2.57654447201 ,  2.85012016953 ,  4.91916402558 ,  5.39556992162 ,  3.30000468348 ,  2.77342258464 ,  2.80852730533 ,  3.13085551365 ,  4.23116536996 ,  5.86116854771 ,  5.2854895099 ,  6.16723040555 ,  4.53432557278 ,  4.60795544417 ,  4.1562525178 ,  3.41016049294 ,  5.41408874528 ,  4.17992153263 ,  3.76749156743 ,  3.94367587 ,  3.99994752417 ,  4.62341949376 ,  4.62465529559 ,  3.03277918 ,  5.14733330137 ,  3.95548259799 ,  7.14506675374 ,  2.33260451369 ,  4.39712039984 ,  3.27670891767 ,  3.63387243458 ,  2.3871481893 ,  2.64990289937 ,  4.94771846456 ,  4.81511546704 ,  4.23611606609 ,  3.38008291518 ,  1.63805410449 ,  4.34821587767 ,  1.84990702764 ,  3.23511708972 ,  8.56735716003 ,  3.60320076796 ,  3.0589074767 ,  4.67708536643 ,  4.06477592509 ,  3.24540657945 ,  7.07265112521 ,  4.51254711125 ,  5.18215145342 ,  3.60280002711 ,  7.47014513025 ,  4.25248211703 ,  5.2189999442 ,  4.65000942194 ,  10.4522969419 ,  7.74978808153 ,  3.23364988346 ,  4.92943860462 ,  6.53572338126 ,  5.21020630132 ,  2.81876564276 ,  3.79682148896 ,  4.48991798834 ,  3.97345314095 ,  2.60147600187 ,  2.67531921053 ,  6.21947608892 ,  3.81955026978 ,  1.49259051872 ,  2.63583810014 ,  2.69259036419 ,  3.06166943354 ,  8.25278308759 ,  6.2254849872 ,  4.56212900066 ,  6.017450416 ,  4.66074804549 ,  7.34488705988 ,  9.15290517241 ,  4.63870276655 ,  7.73944024016 ,  2.80001752813 ,  3.67242723869 ]
#    print 'MEAN - ftt: ',np.mean(ftt)
#    print 'MEAN - fvt:', np.mean(fvt)
#    print 'MEAN - fpt:', np.mean(fpt)
#    
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    xlim(6,22)
#    errorDis1.set_xlabel('time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,ftt,'sr-',label='FTT', linewidth=2.5, markersize=6,markerfacecolor='r',markeredgecolor='r')
#    errorDis1.plot(time,fvt,'^b--',label='FVT', linewidth = 2.5, markersize=6,markerfacecolor='b',markeredgecolor='b')    
#    errorDis1.plot(time,fpt,'*k-',label='FPT', linewidth = 2.5, markersize=6,markerfacecolor='k',markeredgecolor='k')    
#    errorDis1.legend(bbox_to_anchor=(0.693, 1.02), prop={'size':38}) 
#    plt.show()  
#elif graph == 12:#[old] O versus T - OFPT VS FPT
#    time = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    ofpt = [ 0.0212097012813 ,  3.9434075138 ,  3.44079434435 ,  3.05933197666 ,  2.32137875519 ,  1.27937743865 ,  3.5040244864 ,  1.28415424755 ,  1.27701009011 ,  0.761369876266 ,  7.82612757374 ,  5.27419891461 ,  1.14880835356 ,  5.83164943005 ,  10.3675491012 ,  4.59809149693 ,  2.74215121902 ,  14.9468446477 ,  9.92663170771 ,  7.07565372004 ,  5.2421472749 ,  8.45824470972 ,  4.13189221561 ,  4.40801467201 ,  6.70171580289 ,  4.0447213787 ,  35.6681194562 ,  19.5011564081 ,  12.8827732859 ,  6.19173998069 ,  4.37308223975 ,  3.03859992842 ,  9.85040407691 ,  13.1556824713 ,  5.93189056928 ,  5.46827474025 ,  8.31509073534 ,  12.7369187711 ,  10.366713998 ,  23.2552626726 ,  6.48510931348 ,  5.97278616946 ,  9.76907029615 ,  21.3880845049 ,  4.47586407236 ,  5.72253780522 ,  6.45883273843 ,  4.35754514929 ,  8.88959832218 ,  12.3537353567 ,  5.38605892493 ,  20.0936727848 ,  22.1422141152 ,  8.15686807908 ,  10.4015890933 ,  4.72535852415 ,  1.6455253598 ,  5.05243999605 ,  3.45898113737 ,  9.39120683747 ,  5.50042065749 ,  8.00694185445 ,  3.15300446891 ,  10.1455767725 ,  2.02486371691 ,  11.7986140947 ,  5.70775478009 ,  11.4099011649 ,  3.2114755604 ,  13.5565453641 ,  4.79361794357 ,  1.97961874134 ,  6.90719339345 ,  2.6395652406 ,  22.6566999854 ,  12.3483684397 ,  13.5670029204 ,  16.4797507391 ,  4.93599565991 ,  7.32061029118 ,  6.30138644414 ,  1.64933271441 ,  16.1022026693 ,  9.73270268931 ,  1.88544823938 ,  20.665713184 ,  3.03061895418 ,  7.11326723213 ,  4.46734202937 ,  7.6924509472 ,  9.24150974688 ,  2.24979044347 ,  2.65586712571 ,  2.75380025311 ,  2.30274589509 ,  2.41101908919 ,  10.0803747156 ,  6.16741872529 ,  2.64831478028 ,  3.1308429829 ,  3.44883127081 ,  4.36380125834 ,  6.33334308542 ,  3.72755506741 ,  1.84607745971 ,  2.60859898037 ,  5.69490639691 ,  5.95989478083 ,  8.68143085527 ,  3.95041096133 ,  1.58215232803 ,  4.12180407506 ,  17.3773472635 ,  3.99964834267 ,  2.54231554082 ,  3.23690834639 ,  4.93971353692 ,  3.10101987417 ,  2.4554921382 ,  14.453668248 ,  2.19219952916 ,  3.95580537149 ,  2.19466184123 ,  1.84997002407 ,  3.09312665619 ,  8.89139450358 ,  14.7027835802 ,  7.9817982206 ,  3.78508916576 ,  3.28818650746 ,  5.97029854389 ,  2.72353235058 ,  4.01577809777 ,  20.9171484918 ,  4.33528641539 ,  5.17618437488 ,  52.1390492582 ,  52.9447262086 ,  23.2333506395 ,  8.0756871287 ,  8.20155592972 ,  4.63440935538 ,  5.10881767072 ,  1.97469646091 ,  5.25572653328 ,  1.97631156013 ,  2.85760845483 ,  1.71814321453 ,  0.899060260937 ,  2.84972867079 ,  3.0289744265 ,  8.21632861475 ,  2.96543223276 ,  8.94164241523 ,  6.61050557767 ,  4.89120802489 ,  2.55668153256 ,  4.91852602282 ,  25.729448565 ,  3.18838207665 ,  14.05468073 ]
#    fpt  = [ 0.0254999985561 ,  2.96544970076 ,  1.10649009379 ,  2.19294799695 ,  1.50794645081 ,  1.68366532034 ,  5.61536951966 ,  0.868700381722 ,  1.09210752254 ,  5.95541580919 ,  6.20790983488 ,  5.55970217734 ,  8.80495168396 ,  4.69713993275 ,  4.10293878506 ,  2.62278009911 ,  2.89803908428 ,  5.35898065688 ,  7.00889070077 ,  2.92864486865 ,  2.19107386575 ,  3.35177396526 ,  3.19663819321 ,  4.31114558615 ,  5.84817201427 ,  7.57545779677 ,  2.98787059613 ,  3.13327149437 ,  4.15443401076 ,  2.4898757309 ,  5.33227652797 ,  3.04411020435 ,  4.22864588281 ,  5.08081879681 ,  3.2402790978 ,  4.09579734543 ,  4.68224827713 ,  3.99450453609 ,  3.13460943801 ,  3.86003279779 ,  3.99996283158 ,  6.69870006177 ,  5.43664655957 ,  5.47535017578 ,  6.46448120835 ,  6.50446048739 ,  6.25447280789 ,  2.34073638403 ,  2.51018425493 ,  4.39157554636 ,  3.01465443855 ,  6.85867254067 ,  4.18678532822 ,  4.34100282258 ,  4.39160670252 ,  4.41108933569 ,  4.28287126176 ,  6.00471686275 ,  1.76579471543 ,  4.17638959284 ,  4.76078070513 ,  4.98240253449 ,  4.73139727848 ,  5.8443373329 ,  2.69790923466 ,  1.99776314219 ,  4.4384488252 ,  3.06212707365 ,  3.14208661087 ,  4.68935457119 ,  3.4374792002 ,  4.03163823273 ,  5.26416909418 ,  6.21310285352 ,  3.2579989159 ,  5.20452995917 ,  1.36472220075 ,  2.57654447201 ,  2.85012016953 ,  4.91916402558 ,  5.39556992162 ,  3.30000468348 ,  2.77342258464 ,  2.80852730533 ,  3.13085551365 ,  4.23116536996 ,  5.86116854771 ,  5.2854895099 ,  6.16723040555 ,  4.53432557278 ,  4.60795544417 ,  4.1562525178 ,  3.41016049294 ,  5.41408874528 ,  4.17992153263 ,  3.76749156743 ,  3.94367587 ,  3.99994752417 ,  4.62341949376 ,  4.62465529559 ,  3.03277918 ,  5.14733330137 ,  3.95548259799 ,  7.14506675374 ,  2.33260451369 ,  4.39712039984 ,  3.27670891767 ,  3.63387243458 ,  2.3871481893 ,  2.64990289937 ,  4.94771846456 ,  4.81511546704 ,  4.23611606609 ,  3.38008291518 ,  1.63805410449 ,  4.34821587767 ,  1.84990702764 ,  3.23511708972 ,  8.56735716003 ,  3.60320076796 ,  3.0589074767 ,  4.67708536643 ,  4.06477592509 ,  3.24540657945 ,  7.07265112521 ,  4.51254711125 ,  5.18215145342 ,  3.60280002711 ,  7.47014513025 ,  4.25248211703 ,  5.2189999442 ,  4.65000942194 ,  10.4522969419 ,  7.74978808153 ,  3.23364988346 ,  4.92943860462 ,  6.53572338126 ,  5.21020630132 ,  2.81876564276 ,  3.79682148896 ,  4.48991798834 ,  3.97345314095 ,  2.60147600187 ,  2.67531921053 ,  6.21947608892 ,  3.81955026978 ,  1.49259051872 ,  2.63583810014 ,  2.69259036419 ,  3.06166943354 ,  8.25278308759 ,  6.2254849872 ,  4.56212900066 ,  6.017450416 ,  4.66074804549 ,  7.34488705988 ,  9.15290517241 ,  4.63870276655 ,  7.73944024016 ,  2.80001752813 ,  3.67242723869 ]
#    #oftt = [ 2.24145459457 ,  1.73143800808 ,  0.799179426583 ,  2.01173649785 ,  1.81718487406 ,  1.15549025585 ,  2.81841446511 ,  1.31058908497 ,  1.10303421876 ,  0.645413892646 ,  2.58626674665 ,  3.61801909886 ,  0.952661481413 ,  1.33722863725 ,  2.33427913521 ,  3.25891430085 ,  1.58177500317 ,  3.16742183238 ,  3.40244886268 ,  2.74782217877 ,  2.02421508291 ,  3.43543221065 ,  2.75801727099 ,  3.47512377666 ,  3.21835103328 ,  3.55187074828 ,  2.58031331124 ,  2.29762085226 ,  4.06586361021 ,  1.99885747247 ,  3.50018608759 ,  2.89382577221 ,  2.87643825366 ,  3.82574308484 ,  2.88754786537 ,  3.4611622107 ,  2.38718055664 ,  3.64932069411 ,  3.87850569272 ,  4.4113182732 ,  2.60367705107 ,  4.38603456884 ,  3.76237502142 ,  4.70449294799 ,  4.48489780315 ,  4.00217675235 ,  3.69113872225 ,  2.84381752466 ,  2.64490642981 ,  3.26550030106 ,  3.11284322531 ,  3.5278606601 ,  2.73389921687 ,  3.22909639958 ,  9.68749273327 ,  3.33794329991 ,  1.82267761822 ,  3.84960343354 ,  3.34947114286 ,  1.97525234047 ,  4.80490149444 ,  8.14703674908 ,  2.85123026634 ,  4.55860899603 ,  3.8336676661 ,  6.30110432527 ,  5.03219707113 ,  16.0849484556 ,  2.45380197659 ,  1.51388666902 ,  1.93585020619 ,  1.3686990979 ,  1.79589742566 ,  1.87033918163 ,  2.1347025076 ,  2.2107307156 ,  2.00306285687 ,  1.42081441613 ,  2.25800807735 ,  2.64485987569 ,  1.57499868863 ,  1.46970759794 ,  2.14947144609 ,  1.71494163207 ,  1.42890994211 ,  1.42921051412 ,  2.56822992844 ,  2.57491186436 ,  2.24887120575 ,  2.45006028512 ,  2.29030145929 ,  2.20357005345 ,  2.37107043373 ,  1.79574736231 ,  2.16022404774 ,  1.98744860352 ,  2.76517152188 ,  4.46927922498 ,  2.28449240154 ,  3.50934876462 ,  3.43002757824 ,  3.57237690717 ,  3.74711858238 ,  5.269319282 ,  1.91724186837 ,  2.37274846701 ,  2.74429162252 ,  4.33152677022 ,  5.19693037903 ,  4.14178144568 ,  1.3717559139 ,  5.10188377373 ,  15.3319173641 ,  2.72503824835 ,  4.43168328127 ,  2.77228298597 ,  4.00000047582 ,  2.78321470794 ,  4.4266595246 ,  12.3738675504 ,  2.2362768749 ,  3.53624063741 ,  2.17194051215 ,  1.80232955064 ,  3.11447942993 ,  5.58415288653 ,  14.1053921526 ,  8.57341416642 ,  3.15187293847 ,  2.76141329912 ,  4.07248264248 ,  1.99320484803 ,  2.91473616599 ,  2.20586857277 ,  2.94563619851 ,  5.42395269199 ,  29.078302079 ,  14.0218517407 ,  20.5513224061 ,  8.07341836515 ,  6.53713071169 ,  3.6100915748 ,  2.98813230058 ,  2.04783764553 ,  2.60001717019 ,  1.67795651189 ,  2.92481559366 ,  1.78590828584 ,  0.883847519117 ,  2.09792479628 ,  2.77275673653 ,  6.82743125648 ,  2.05469069428 ,  4.18963363872 ,  5.88560779047 ,  3.49943148138 ,  2.40634975286 ,  3.75794501409 ,  3.99229239053 ,  1.58456767841 ,  3.45776889589 ]
#    
##    for i in range(len(time)):
##        if fpt[i] - ofpt[i] > 0.5:
##            print time[i]
#    
#    print 'MEAN - ofpt: ',np.mean(ofpt)
#    print 'MEAN - fpt:', np.mean(fpt)
#    
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    #ylim(0,6)
#    xlim(19,22)
#    errorDis1.set_xlabel('time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,ofpt,'sk-',label='TPO-PT', linewidth=2.5, markersize=5,markerfacecolor='k',markeredgecolor='r')
#    errorDis1.plot(time,fpt,'*r--',label='TP-P', linewidth = 2.5, markersize=5,markerfacecolor='r',markeredgecolor='k')    
#    errorDis1.legend(bbox_to_anchor=(0.25, 1), prop={'size':40}) 
#    plt.show()   
#elif graph == 13:#Impact of deployment methods - OFPT VS OFTT
#    time = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    ofpt = [ 0.0212097012813 ,  3.9434075138 ,  3.44079434435 ,  3.05933197666 ,  2.32137875519 ,  1.27937743865 ,  3.5040244864 ,  1.28415424755 ,  1.27701009011 ,  0.761369876266 ,  7.82612757374 ,  5.27419891461 ,  1.14880835356 ,  5.83164943005 ,  10.3675491012 ,  4.59809149693 ,  2.74215121902 ,  14.9468446477 ,  9.92663170771 ,  7.07565372004 ,  5.2421472749 ,  8.45824470972 ,  4.13189221561 ,  4.40801467201 ,  6.70171580289 ,  4.0447213787 ,  35.6681194562 ,  19.5011564081 ,  12.8827732859 ,  6.19173998069 ,  4.37308223975 ,  3.03859992842 ,  9.85040407691 ,  13.1556824713 ,  5.93189056928 ,  5.46827474025 ,  8.31509073534 ,  12.7369187711 ,  10.366713998 ,  23.2552626726 ,  6.48510931348 ,  5.97278616946 ,  9.76907029615 ,  21.3880845049 ,  4.47586407236 ,  5.72253780522 ,  6.45883273843 ,  4.35754514929 ,  8.88959832218 ,  12.3537353567 ,  5.38605892493 ,  20.0936727848 ,  22.1422141152 ,  8.15686807908 ,  10.4015890933 ,  4.72535852415 ,  1.6455253598 ,  5.05243999605 ,  3.45898113737 ,  9.39120683747 ,  5.50042065749 ,  8.00694185445 ,  3.15300446891 ,  10.1455767725 ,  2.02486371691 ,  11.7986140947 ,  5.70775478009 ,  11.4099011649 ,  3.2114755604 ,  13.5565453641 ,  4.79361794357 ,  1.97961874134 ,  6.90719339345 ,  2.6395652406 ,  22.6566999854 ,  12.3483684397 ,  13.5670029204 ,  16.4797507391 ,  4.93599565991 ,  7.32061029118 ,  6.30138644414 ,  1.64933271441 ,  16.1022026693 ,  9.73270268931 ,  1.88544823938 ,  20.665713184 ,  3.03061895418 ,  7.11326723213 ,  4.46734202937 ,  7.6924509472 ,  9.24150974688 ,  2.24979044347 ,  2.65586712571 ,  2.75380025311 ,  2.30274589509 ,  2.41101908919 ,  10.0803747156 ,  6.16741872529 ,  2.64831478028 ,  3.1308429829 ,  3.44883127081 ,  4.36380125834 ,  6.33334308542 ,  3.72755506741 ,  1.84607745971 ,  2.60859898037 ,  5.69490639691 ,  5.95989478083 ,  8.68143085527 ,  3.95041096133 ,  1.58215232803 ,  4.12180407506 ,  17.3773472635 ,  3.99964834267 ,  2.54231554082 ,  3.23690834639 ,  4.93971353692 ,  3.10101987417 ,  2.4554921382 ,  14.453668248 ,  2.19219952916 ,  3.95580537149 ,  2.19466184123 ,  1.84997002407 ,  3.09312665619 ,  8.89139450358 ,  14.7027835802 ,  7.9817982206 ,  3.78508916576 ,  3.28818650746 ,  5.97029854389 ,  2.72353235058 ,  4.01577809777 ,  20.9171484918 ,  4.33528641539 ,  5.17618437488 ,  52.1390492582 ,  52.9447262086 ,  23.2333506395 ,  8.0756871287 ,  8.20155592972 ,  4.63440935538 ,  5.10881767072 ,  1.97469646091 ,  5.25572653328 ,  1.97631156013 ,  2.85760845483 ,  1.71814321453 ,  0.899060260937 ,  2.84972867079 ,  3.0289744265 ,  8.21632861475 ,  2.96543223276 ,  8.94164241523 ,  6.61050557767 ,  4.89120802489 ,  2.55668153256 ,  4.91852602282 ,  25.729448565 ,  3.18838207665 ,  14.05468073 ]
#    oftt = [ 2.24145459457 ,  1.73143800808 ,  0.799179426583 ,  2.01173649785 ,  1.81718487406 ,  1.15549025585 ,  2.81841446511 ,  1.31058908497 ,  1.10303421876 ,  0.645413892646 ,  2.58626674665 ,  3.61801909886 ,  0.952661481413 ,  1.33722863725 ,  2.33427913521 ,  3.25891430085 ,  1.58177500317 ,  3.16742183238 ,  3.40244886268 ,  2.74782217877 ,  2.02421508291 ,  3.43543221065 ,  2.75801727099 ,  3.47512377666 ,  3.21835103328 ,  3.55187074828 ,  2.58031331124 ,  2.29762085226 ,  4.06586361021 ,  1.99885747247 ,  3.50018608759 ,  2.89382577221 ,  2.87643825366 ,  3.82574308484 ,  2.88754786537 ,  3.4611622107 ,  2.38718055664 ,  3.64932069411 ,  3.87850569272 ,  4.4113182732 ,  2.60367705107 ,  4.38603456884 ,  3.76237502142 ,  4.70449294799 ,  4.48489780315 ,  4.00217675235 ,  3.69113872225 ,  2.84381752466 ,  2.64490642981 ,  3.26550030106 ,  3.11284322531 ,  3.5278606601 ,  2.73389921687 ,  3.22909639958 ,  9.68749273327 ,  3.33794329991 ,  1.82267761822 ,  3.84960343354 ,  3.34947114286 ,  1.97525234047 ,  4.80490149444 ,  8.14703674908 ,  2.85123026634 ,  4.55860899603 ,  3.8336676661 ,  6.30110432527 ,  5.03219707113 ,  16.0849484556 ,  2.45380197659 ,  1.51388666902 ,  1.93585020619 ,  1.3686990979 ,  1.79589742566 ,  1.87033918163 ,  2.1347025076 ,  2.2107307156 ,  2.00306285687 ,  1.42081441613 ,  2.25800807735 ,  2.64485987569 ,  1.57499868863 ,  1.46970759794 ,  2.14947144609 ,  1.71494163207 ,  1.42890994211 ,  1.42921051412 ,  2.56822992844 ,  2.57491186436 ,  2.24887120575 ,  2.45006028512 ,  2.29030145929 ,  2.20357005345 ,  2.37107043373 ,  1.79574736231 ,  2.16022404774 ,  1.98744860352 ,  2.76517152188 ,  4.46927922498 ,  2.28449240154 ,  3.50934876462 ,  3.43002757824 ,  3.57237690717 ,  3.74711858238 ,  5.269319282 ,  1.91724186837 ,  2.37274846701 ,  2.74429162252 ,  4.33152677022 ,  5.19693037903 ,  4.14178144568 ,  1.3717559139 ,  5.10188377373 ,  15.3319173641 ,  2.72503824835 ,  4.43168328127 ,  2.77228298597 ,  4.00000047582 ,  2.78321470794 ,  4.4266595246 ,  12.3738675504 ,  2.2362768749 ,  3.53624063741 ,  2.17194051215 ,  1.80232955064 ,  3.11447942993 ,  5.58415288653 ,  14.1053921526 ,  8.57341416642 ,  3.15187293847 ,  2.76141329912 ,  4.07248264248 ,  1.99320484803 ,  2.91473616599 ,  2.20586857277 ,  2.94563619851 ,  5.42395269199 ,  29.078302079 ,  14.0218517407 ,  20.5513224061 ,  8.07341836515 ,  6.53713071169 ,  3.6100915748 ,  2.98813230058 ,  2.04783764553 ,  2.60001717019 ,  1.67795651189 ,  2.92481559366 ,  1.78590828584 ,  0.883847519117 ,  2.09792479628 ,  2.77275673653 ,  6.82743125648 ,  2.05469069428 ,  4.18963363872 ,  5.88560779047 ,  3.49943148138 ,  2.40634975286 ,  3.75794501409 ,  3.99229239053 ,  1.58456767841 ,  3.45776889589 ]
#      
#    print 'MEAN - ofpt: ',np.mean(ofpt)
#    print 'MEAN - oftt:', np.mean(oftt)
#    
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    xlim(6,22)
#    errorDis1.set_xlabel('time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,ofpt,'ok-',label='OFPT', linewidth=2.5, markersize=6,markerfacecolor='w',markeredgecolor='r')
#    errorDis1.plot(time,oftt,'vr--',label='OFTT', linewidth = 2.5, markersize=6,markerfacecolor='w',markeredgecolor='k')    
#    errorDis1.legend(bbox_to_anchor=(0.25, 1), prop={'size':40}) 
#    plt.show() 
#elif graph == 14:#Impact of different road - 3470-3006 vs 46332-46522 - OFPT 
#    time = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    ofpt = [ 0.0212097012813 ,  3.9434075138 ,  3.44079434435 ,  3.05933197666 ,  2.32137875519 ,  1.27937743865 ,  3.5040244864 ,  1.28415424755 ,  1.27701009011 ,  0.761369876266 ,  7.82612757374 ,  5.27419891461 ,  1.14880835356 ,  5.83164943005 ,  10.3675491012 ,  4.59809149693 ,  2.74215121902 ,  14.9468446477 ,  9.92663170771 ,  7.07565372004 ,  5.2421472749 ,  8.45824470972 ,  4.13189221561 ,  4.40801467201 ,  6.70171580289 ,  4.0447213787 ,  35.6681194562 ,  19.5011564081 ,  12.8827732859 ,  6.19173998069 ,  4.37308223975 ,  3.03859992842 ,  9.85040407691 ,  13.1556824713 ,  5.93189056928 ,  5.46827474025 ,  8.31509073534 ,  12.7369187711 ,  10.366713998 ,  23.2552626726 ,  6.48510931348 ,  5.97278616946 ,  9.76907029615 ,  21.3880845049 ,  4.47586407236 ,  5.72253780522 ,  6.45883273843 ,  4.35754514929 ,  8.88959832218 ,  12.3537353567 ,  5.38605892493 ,  20.0936727848 ,  22.1422141152 ,  8.15686807908 ,  10.4015890933 ,  4.72535852415 ,  1.6455253598 ,  5.05243999605 ,  3.45898113737 ,  9.39120683747 ,  5.50042065749 ,  8.00694185445 ,  3.15300446891 ,  10.1455767725 ,  2.02486371691 ,  11.7986140947 ,  5.70775478009 ,  11.4099011649 ,  3.2114755604 ,  13.5565453641 ,  4.79361794357 ,  1.97961874134 ,  6.90719339345 ,  2.6395652406 ,  22.6566999854 ,  12.3483684397 ,  13.5670029204 ,  16.4797507391 ,  4.93599565991 ,  7.32061029118 ,  6.30138644414 ,  1.64933271441 ,  16.1022026693 ,  9.73270268931 ,  1.88544823938 ,  20.665713184 ,  3.03061895418 ,  7.11326723213 ,  4.46734202937 ,  7.6924509472 ,  9.24150974688 ,  2.24979044347 ,  2.65586712571 ,  2.75380025311 ,  2.30274589509 ,  2.41101908919 ,  10.0803747156 ,  6.16741872529 ,  2.64831478028 ,  3.1308429829 ,  3.44883127081 ,  4.36380125834 ,  6.33334308542 ,  3.72755506741 ,  1.84607745971 ,  2.60859898037 ,  5.69490639691 ,  5.95989478083 ,  8.68143085527 ,  3.95041096133 ,  1.58215232803 ,  4.12180407506 ,  17.3773472635 ,  3.99964834267 ,  2.54231554082 ,  3.23690834639 ,  4.93971353692 ,  3.10101987417 ,  2.4554921382 ,  14.453668248 ,  2.19219952916 ,  3.95580537149 ,  2.19466184123 ,  1.84997002407 ,  3.09312665619 ,  8.89139450358 ,  14.7027835802 ,  7.9817982206 ,  3.78508916576 ,  3.28818650746 ,  5.97029854389 ,  2.72353235058 ,  4.01577809777 ,  20.9171484918 ,  4.33528641539 ,  5.17618437488 ,  52.1390492582 ,  52.9447262086 ,  23.2333506395 ,  8.0756871287 ,  8.20155592972 ,  4.63440935538 ,  5.10881767072 ,  1.97469646091 ,  5.25572653328 ,  1.97631156013 ,  2.85760845483 ,  1.71814321453 ,  0.899060260937 ,  2.84972867079 ,  3.0289744265 ,  8.21632861475 ,  2.96543223276 ,  8.94164241523 ,  6.61050557767 ,  4.89120802489 ,  2.55668153256 ,  4.91852602282 ,  25.729448565 ,  3.18838207665 ,  14.05468073 ]
#    ofpt3470 = [ 0.367287376912 ,  0.255990125587 ,  0.398710890821 ,  2.15491047462 ,  2.71088760485 ,  0.678656976138 ,  3.48039689111 ,  4.87034939301 ,  0.181808567997 ,  1.98593998316 ,  4.67721064418 ,  2.52160587807 ,  0.270940576885 ,  3.74942068061 ,  4.67658038974 ,  3.23150201399 ,  8.04486808981 ,  7.26315630715 ,  4.78422404565 ,  5.00451700876 ,  4.07677178229 ,  1.88240371286 ,  3.58629109869 ,  5.34345046021 ,  7.93236202226 ,  6.40640114718 ,  10.6470284164 ,  2.93048747337 ,  3.97422538351 ,  11.5998809581 ,  8.32928120025 ,  6.64584186064 ,  5.37604362364 ,  0.979313677995 ,  0.630637011013 ,  12.4780777129 ,  4.72845613502 ,  0.508467973181 ,  0.441684472528 ,  2.75286239933 ,  9.29662508661 ,  6.54144871724 ,  0.632359421664 ,  1.19505001867 ,  2.26375833151 ,  2.35638418275 ,  1.7719824752 ,  3.40270576498 ,  0.555746178187 ,  0.476909705733 ,  1.8564183413 ,  1.00025750313 ,  0.877332326374 ,  0.855291856614 ,  2.14846294601 ,  3.36894072444 ,  4.93826513439 ,  6.18452114807 ,  2.75445880786 ,  3.45924795665 ,  2.37526097453 ,  4.7152196156 ,  5.21731677608 ,  10.7911134262 ,  9.07590395291 ,  15.964288722 ,  13.2593753825 ,  6.08622444799 ,  3.27113602765 ,  8.17837716346 ,  5.15116127609 ,  2.90131583147 ,  1.35394538344 ,  14.7662624172 ,  16.5800433351 ,  5.49624389695 ,  4.17222806315 ,  9.9660958145 ,  18.0719797814 ,  13.96071577 ,  5.84693173672 ,  1.05862302716 ,  1.68487003255 ,  1.7913511906 ,  2.47832887626 ,  1.58541747652 ,  0.922559514942 ,  0.292594679076 ,  1.03988851826 ,  2.46034361792 ,  0.531716198763 ,  16.5588702723 ,  10.1550819239 ,  1.23020388465 ,  1.42467222539 ,  4.29773683389 ,  4.1775726096 ,  5.10814544885 ,  3.24872970869 ,  5.25915802408 ,  2.60947339745 ,  1.31098885399 ,  2.16560611775 ,  3.66595956257 ,  5.52832914651 ,  1.19051648105 ,  5.13309475436 ,  2.14273829156 ,  16.1537986977 ,  16.3058136599 ,  1.24573116274 ,  1.85328529931 ,  1.41119930344 ,  1.54432374222 ,  1.64348669897 ,  9.19040661879 ,  19.3347246229 ,  21.6112079374 ,  0.487943199008 ,  1.25280402054 ,  2.11495288736 ,  0.734859107327 ,  0.583609579072 ,  0.918380803283 ,  2.03324621229 ,  1.97867901385 ,  0.800056439273 ,  1.39192863838 ,  4.20873038445 ,  1.13695736595 ,  0.642994681004 ,  1.30596438677 ,  0.359520277009 ,  0.479109248441 ,  0.542365235229 ,  5.90138313352 ]
#    print 'MEAN - ofpt46332: ',np.mean(ofpt)
#    print 'MEAN - ofpt3470:', np.mean(ofpt3470)
#    
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    xlim(6,22)
#    errorDis1.set_xlabel('time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,ofpt,'ok-',label='W.T.toHK(OFPT)', linewidth=2.5, markersize=6,markerfacecolor='w',markeredgecolor='r')
#    errorDis1.plot(time,ofpt3470,'vr--',label='Lin C.(OFPT)', linewidth = 2.5, markersize=6,markerfacecolor='w',markeredgecolor='k')    
#    errorDis1.legend(bbox_to_anchor=(0.25, 1), prop={'size':40}) 
#    plt.show() 
#elif graph == 15:#Impact of different road - 3470-3006 vs 46332-46522 vs 4652-4633- OFTT800 
#    time = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    oftt = [ 2.24145459457 ,  1.73143800808 ,  0.799179426583 ,  2.01173649785 ,  1.81718487406 ,  1.15549025585 ,  2.81841446511 ,  1.31058908497 ,  1.10303421876 ,  0.645413892646 ,  2.58626674665 ,  3.61801909886 ,  0.952661481413 ,  1.33722863725 ,  2.33427913521 ,  3.25891430085 ,  1.58177500317 ,  3.16742183238 ,  3.40244886268 ,  2.74782217877 ,  2.02421508291 ,  3.43543221065 ,  2.75801727099 ,  3.47512377666 ,  3.21835103328 ,  3.55187074828 ,  2.58031331124 ,  2.29762085226 ,  4.06586361021 ,  1.99885747247 ,  3.50018608759 ,  2.89382577221 ,  2.87643825366 ,  3.82574308484 ,  2.88754786537 ,  3.4611622107 ,  2.38718055664 ,  3.64932069411 ,  3.87850569272 ,  4.4113182732 ,  2.60367705107 ,  4.38603456884 ,  3.76237502142 ,  4.70449294799 ,  4.48489780315 ,  4.00217675235 ,  3.69113872225 ,  2.84381752466 ,  2.64490642981 ,  3.26550030106 ,  3.11284322531 ,  3.5278606601 ,  2.73389921687 ,  3.22909639958 ,  9.68749273327 ,  3.33794329991 ,  1.82267761822 ,  3.84960343354 ,  3.34947114286 ,  1.97525234047 ,  4.80490149444 ,  8.14703674908 ,  2.85123026634 ,  4.55860899603 ,  3.8336676661 ,  6.30110432527 ,  5.03219707113 ,  16.0849484556 ,  2.45380197659 ,  1.51388666902 ,  1.93585020619 ,  1.3686990979 ,  1.79589742566 ,  1.87033918163 ,  2.1347025076 ,  2.2107307156 ,  2.00306285687 ,  1.42081441613 ,  2.25800807735 ,  2.64485987569 ,  1.57499868863 ,  1.46970759794 ,  2.14947144609 ,  1.71494163207 ,  1.42890994211 ,  1.42921051412 ,  2.56822992844 ,  2.57491186436 ,  2.24887120575 ,  2.45006028512 ,  2.29030145929 ,  2.20357005345 ,  2.37107043373 ,  1.79574736231 ,  2.16022404774 ,  1.98744860352 ,  2.76517152188 ,  4.46927922498 ,  2.28449240154 ,  3.50934876462 ,  3.43002757824 ,  3.57237690717 ,  3.74711858238 ,  5.269319282 ,  1.91724186837 ,  2.37274846701 ,  2.74429162252 ,  4.33152677022 ,  5.19693037903 ,  4.14178144568 ,  1.3717559139 ,  5.10188377373 ,  15.3319173641 ,  2.72503824835 ,  4.43168328127 ,  2.77228298597 ,  4.00000047582 ,  2.78321470794 ,  4.4266595246 ,  12.3738675504 ,  2.2362768749 ,  3.53624063741 ,  2.17194051215 ,  1.80232955064 ,  3.11447942993 ,  5.58415288653 ,  14.1053921526 ,  8.57341416642 ,  3.15187293847 ,  2.76141329912 ,  4.07248264248 ,  1.99320484803 ,  2.91473616599 ,  2.20586857277 ,  2.94563619851 ,  5.42395269199 ,  29.078302079 ,  14.0218517407 ,  20.5513224061 ,  8.07341836515 ,  6.53713071169 ,  3.6100915748 ,  2.98813230058 ,  2.04783764553 ,  2.60001717019 ,  1.67795651189 ,  2.92481559366 ,  1.78590828584 ,  0.883847519117 ,  2.09792479628 ,  2.77275673653 ,  6.82743125648 ,  2.05469069428 ,  4.18963363872 ,  5.88560779047 ,  3.49943148138 ,  2.40634975286 ,  3.75794501409 ,  3.99229239053 ,  1.58456767841 ,  3.45776889589 ]
#    oftt3470 = [ 0.0322580639001 ,  0.199130756241 ,  0.138399733884 ,  0.0951491767782 ,  0.139980392441 ,  0.214395988206 ,  0.472442130759 ,  0.256767658342 ,  0.356613937972 ,  3.26910037897 ,  1.84724248885 ,  1.88394345477 ,  0.435483945574 ,  0.193641527498 ,  0.546427018378 ,  0.624716854522 ,  0.653724476082 ,  0.562016007533 ,  0.594812942841 ,  0.576686645373 ,  0.473944584852 ,  0.527134993734 ,  0.763573015788 ,  0.501697787212 ,  0.864641298725 ,  1.25651049804 ,  0.541841704786 ,  1.03123866898 ,  3.69877152612 ,  6.64874005687 ,  4.99762526088 ,  16.6863149042 ,  8.65029212647 ,  1.34591531454 ,  2.48255837314 ,  10.3433809353 ,  4.21839154795 ,  3.42782383306 ,  5.98209801069 ,  4.04394153371 ,  5.51678816754 ,  14.4811675608 ,  6.19744320187 ,  18.6015115674 ,  9.34944665925 ,  12.5098483846 ,  6.93553648299 ,  6.26165189033 ,  5.91351196801 ,  4.94598352055 ,  6.56423352037 ,  8.38032333568 ,  1.94080589944 ,  3.26264154319 ,  5.30182395671 ,  5.30934855144 ,  3.72205666775 ,  3.88653784221 ,  1.36323897856 ,  2.88399727916 ,  6.12800154037 ,  4.26736545038 ,  1.663193397 ,  1.38643223367 ,  2.52393323872 ,  5.37354192819 ,  5.86980376724 ,  1.788093111 ,  1.60016677418 ,  1.56158770941 ,  1.14670579706 ,  1.22040957645 ,  2.38395059924 ,  0.553050096774 ,  0.394629391035 ,  1.45187837763 ,  1.02672947142 ,  1.56448189486 ,  2.9196160445 ,  2.36580853461 ,  3.9719538667 ,  4.16512672781 ,  5.11886133385 ,  5.94663232366 ,  3.64605623104 ,  5.18101642781 ,  5.19390617448 ,  6.18317387543 ,  7.71660348115 ,  6.88891139959 ,  10.6516846923 ,  10.1630046228 ,  6.93686052799 ,  5.15578887233 ,  5.48607878118 ,  5.39235714752 ,  1.80071012266 ,  2.54767894594 ,  6.58354652636 ,  8.5068414763 ,  2.83021362063 ,  2.94010470901 ,  7.07325968393 ,  9.06143783324 ,  5.31545167905 ,  6.77108027131 ,  1.72579618577 ,  2.88886506145 ,  2.51725734552 ,  4.31579644291 ,  2.1932353588 ,  2.28974508049 ,  0.691762175901 ,  2.20097045599 ,  2.91613087548 ,  2.73804828853 ,  6.79951791569 ,  4.00016109957 ,  0.631678047261 ,  4.22924220377 ,  4.7034366285 ,  3.22815720618 ,  3.68915616111 ,  2.37370208043 ,  2.46905976271 ,  1.20072133671 ,  1.57854903581 ,  1.65260193684 ,  2.76776965403 ,  5.21441041187 ,  2.21136956461 ,  4.56556654745 ,  3.1675169741 ,  6.70615384304 ,  6.53606097509 ,  0.958995151212 ,  3.8556282454 ,  4.88775172919 ,  2.90298234298 ,  2.22599902906 ,  5.99981955947 ,  9.19080621071 ,  8.2069586104 ,  1.21704417553 ,  0.573390437043 ,  3.52388636086 ,  2.92000814316 ,  3.39817912155 ,  4.56301096165 ,  2.3064119861 ,  1.59230246693 ,  0.580457750153 ,  3.66744605193 ,  2.77024508866 ,  3.02388841949 ,  2.25605668656 ,  0.724558127754 ,  0.444678658804 ,  1.76042639933 ,  1.05955001087 ,  8.66896814838 ]
#    oftt4652 = [ 11.254970335 ,  15.4021483483 ,  11.7775629148 ,  10.4385741952 ,  13.9281679549 ,  15.0068746887 ,  16.5787066744 ,  17.3143017474 ,  15.0978173103 ,  18.29603969 ,  21.665610725 ,  17.9528830583 ,  15.1200512838 ,  21.5438616981 ,  57.463870951 ,  35.884844024 ,  45.9173408819 ,  29.9982125939 ,  29.9189724963 ,  101.976802014 ,  80.3255385941 ,  61.6730659404 ,  146.985465072 ,  73.0224868106 ,  121.631351491 ,  142.256449001 ,  77.6879397404 ,  196.855341349 ,  113.52857646 ,  70.434664826 ,  144.944671341 ,  186.593748723 ,  86.1106341402 ,  152.982536316 ,  88.9380983887 ,  121.736301904 ,  264.837457035 ,  316.042458218 ,  213.219161738 ,  172.487279354 ,  475.02731365 ,  304.080759728 ,  91.1618115325 ,  352.066255748 ,  174.477470891 ,  136.585064961 ,  120.070645565 ,  71.4302661875 ,  117.845108726 ,  99.1727425824 ,  438.38939873 ,  534.514360863 ,  166.820604572 ,  105.608459224 ,  91.2602948326 ,  99.4870476877 ,  97.3559604055 ,  188.223381452 ,  135.999350899 ,  655.007973335 ,  110.554955744 ,  200.490865553 ,  138.97887967 ,  175.750865906 ,  321.286383691 ,  163.902401097 ,  126.164767438 ,  296.330432478 ,  751.893739097 ,  264.038237968 ,  147.035838888 ,  206.814076078 ,  278.21163312 ,  135.522146911 ,  285.755826185 ,  217.370241467 ,  221.171193024 ,  41.2132201178 ,  69.882787969 ,  57.6845799964 ,  221.444938431 ,  87.4458514126 ,  90.3503717339 ,  30.2277108438 ,  23.6560146569 ,  107.287600932 ,  78.3196320857 ,  33.4650948842 ,  23.8793686727 ,  97.3776249188 ,  482.91095932 ,  96.2731252127 ,  332.287454694 ,  475.162093583 ,  450.615983759 ,  509.342103686 ,  212.905394128 ,  231.996333297 ,  213.163486926 ,  167.116199969 ,  178.939233262 ,  155.887740087 ,  225.210432375 ,  144.79232078 ,  201.824496139 ,  197.217932975 ,  184.696508651 ,  258.502093298 ,  175.170150528 ,  126.21656522 ,  166.575848178 ,  129.156693377 ,  149.24361566 ,  208.884455158 ,  107.995100782 ,  159.5301822 ,  98.2471982977 ,  192.263053774 ,  54.2257802085 ,  102.995857507 ,  43.5229106057 ,  94.4061070275 ,  72.2791595427 ,  64.0817600155 ,  76.6975650738 ,  56.5202827675 ,  84.839846269 ,  93.716633867 ,  96.0813041682 ,  125.646568478 ,  165.465855093 ,  151.334797203 ,  151.911223236 ,  99.8668273011 ,  134.554501966 ,  122.359312325 ,  159.940699916 ,  132.450445703 ,  118.20043907 ,  109.432930137 ,  132.277450982 ,  102.173166763 ,  126.283072818 ,  104.029629141 ,  103.764235343 ,  105.474739235 ,  74.2963778279 ,  53.3011493721 ,  81.5438486276 ,  33.1745884472 ,  61.6138221862 ,  87.7599763401 ,  44.9983313731 ,  47.2712136634 ,  64.7730690167 ,  100.946926694 ,  44.3633080623 ,  43.8691380705 ,  41.338336938 ,  55.5740921546 ,  44.425398556 ]
#    print 'MEAN - oftt46332: ',np.mean(oftt)
#    print 'MEAN - oftt3470:', np.mean(oftt3470)
#    print 'MEAN - oftt4652: ',np.mean(oftt4652)
#    
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    #ylim(0,40)
#    xlim(6,22)
#    errorDis1.set_xlabel('time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,oftt3470,'sr-',label='Lin C.(OFTT)', linewidth=2.5, markersize=6,markerfacecolor='r',markeredgecolor='r')
#    errorDis1.plot(time,oftt4652,'^b--',label='W.T.toKL(OFTT)', linewidth = 2.5, markersize=6,markerfacecolor='b',markeredgecolor='b')    
#    errorDis1.plot(time,oftt,'*k-',label='W.T.toHK(OFTT)', linewidth = 2.5, markersize=6,markerfacecolor='k',markeredgecolor='k')        
#    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':40})
#    plt.show() 
#elif graph == 16:#Impact of different road - 3470-3006 vs 46332-46522 vs 4652-4633- OFTT40 
#    time = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    oftt = [ 2.24145459457 ,  1.73143800808 ,  0.799179426583 ,  2.01173649785 ,  1.81718487406 ,  1.15549025585 ,  2.81841446511 ,  1.31058908497 ,  1.10303421876 ,  0.645413892646 ,  2.58626674665 ,  3.61801909886 ,  0.952661481413 ,  1.33722863725 ,  2.33427913521 ,  3.25891430085 ,  1.58177500317 ,  3.16742183238 ,  3.40244886268 ,  2.74782217877 ,  2.02421508291 ,  3.43543221065 ,  2.75801727099 ,  3.47512377666 ,  3.21835103328 ,  3.55187074828 ,  2.58031331124 ,  2.29762085226 ,  4.06586361021 ,  1.99885747247 ,  3.50018608759 ,  2.89382577221 ,  2.87643825366 ,  3.82574308484 ,  2.88754786537 ,  3.4611622107 ,  2.38718055664 ,  3.64932069411 ,  3.87850569272 ,  4.4113182732 ,  2.60367705107 ,  4.38603456884 ,  3.76237502142 ,  4.70449294799 ,  4.48489780315 ,  4.00217675235 ,  3.69113872225 ,  2.84381752466 ,  2.64490642981 ,  3.26550030106 ,  3.11284322531 ,  3.5278606601 ,  2.73389921687 ,  3.22909639958 ,  9.68749273327 ,  3.33794329991 ,  1.82267761822 ,  3.84960343354 ,  3.34947114286 ,  1.97525234047 ,  4.80490149444 ,  8.14703674908 ,  2.85123026634 ,  4.55860899603 ,  3.8336676661 ,  6.30110432527 ,  5.03219707113 ,  16.0849484556 ,  2.45380197659 ,  1.51388666902 ,  1.93585020619 ,  1.3686990979 ,  1.79589742566 ,  1.87033918163 ,  2.1347025076 ,  2.2107307156 ,  2.00306285687 ,  1.42081441613 ,  2.25800807735 ,  2.64485987569 ,  1.57499868863 ,  1.46970759794 ,  2.14947144609 ,  1.71494163207 ,  1.42890994211 ,  1.42921051412 ,  2.56822992844 ,  2.57491186436 ,  2.24887120575 ,  2.45006028512 ,  2.29030145929 ,  2.20357005345 ,  2.37107043373 ,  1.79574736231 ,  2.16022404774 ,  1.98744860352 ,  2.76517152188 ,  4.46927922498 ,  2.28449240154 ,  3.50934876462 ,  3.43002757824 ,  3.57237690717 ,  3.74711858238 ,  5.269319282 ,  1.91724186837 ,  2.37274846701 ,  2.74429162252 ,  4.33152677022 ,  5.19693037903 ,  4.14178144568 ,  1.3717559139 ,  5.10188377373 ,  15.3319173641 ,  2.72503824835 ,  4.43168328127 ,  2.77228298597 ,  4.00000047582 ,  2.78321470794 ,  4.4266595246 ,  12.3738675504 ,  2.2362768749 ,  3.53624063741 ,  2.17194051215 ,  1.80232955064 ,  3.11447942993 ,  5.58415288653 ,  14.1053921526 ,  8.57341416642 ,  3.15187293847 ,  2.76141329912 ,  4.07248264248 ,  1.99320484803 ,  2.91473616599 ,  2.20586857277 ,  2.94563619851 ,  5.42395269199 ,  29.078302079 ,  14.0218517407 ,  20.5513224061 ,  8.07341836515 ,  6.53713071169 ,  3.6100915748 ,  2.98813230058 ,  2.04783764553 ,  2.60001717019 ,  1.67795651189 ,  2.92481559366 ,  1.78590828584 ,  0.883847519117 ,  2.09792479628 ,  2.77275673653 ,  6.82743125648 ,  2.05469069428 ,  4.18963363872 ,  5.88560779047 ,  3.49943148138 ,  2.40634975286 ,  3.75794501409 ,  3.99229239053 ,  1.58456767841 ,  3.45776889589 ]
#    oftt3470 = [ 0.0322580639001 ,  0.199130756241 ,  0.138399733884 ,  0.0951491767782 ,  0.139980392441 ,  0.214395988206 ,  0.472442130759 ,  0.256767658342 ,  0.356613937972 ,  3.26910037897 ,  1.84724248885 ,  1.88394345477 ,  0.435483945574 ,  0.193641527498 ,  0.546427018378 ,  0.624716854522 ,  0.653724476082 ,  0.562016007533 ,  0.594812942841 ,  0.576686645373 ,  0.473944584852 ,  0.527134993734 ,  0.763573015788 ,  0.501697787212 ,  0.864641298725 ,  1.25651049804 ,  0.541841704786 ,  1.03123866898 ,  3.69877152612 ,  6.64874005687 ,  4.99762526088 ,  16.6863149042 ,  8.65029212647 ,  1.34591531454 ,  2.48255837314 ,  10.3433809353 ,  4.21839154795 ,  3.42782383306 ,  5.98209801069 ,  4.04394153371 ,  5.51678816754 ,  14.4811675608 ,  6.19744320187 ,  18.6015115674 ,  9.34944665925 ,  12.5098483846 ,  6.93553648299 ,  6.26165189033 ,  5.91351196801 ,  4.94598352055 ,  6.56423352037 ,  8.38032333568 ,  1.94080589944 ,  3.26264154319 ,  5.30182395671 ,  5.30934855144 ,  3.72205666775 ,  3.88653784221 ,  1.36323897856 ,  2.88399727916 ,  6.12800154037 ,  4.26736545038 ,  1.663193397 ,  1.38643223367 ,  2.52393323872 ,  5.37354192819 ,  5.86980376724 ,  1.788093111 ,  1.60016677418 ,  1.56158770941 ,  1.14670579706 ,  1.22040957645 ,  2.38395059924 ,  0.553050096774 ,  0.394629391035 ,  1.45187837763 ,  1.02672947142 ,  1.56448189486 ,  2.9196160445 ,  2.36580853461 ,  3.9719538667 ,  4.16512672781 ,  5.11886133385 ,  5.94663232366 ,  3.64605623104 ,  5.18101642781 ,  5.19390617448 ,  6.18317387543 ,  7.71660348115 ,  6.88891139959 ,  10.6516846923 ,  10.1630046228 ,  6.93686052799 ,  5.15578887233 ,  5.48607878118 ,  5.39235714752 ,  1.80071012266 ,  2.54767894594 ,  6.58354652636 ,  8.5068414763 ,  2.83021362063 ,  2.94010470901 ,  7.07325968393 ,  9.06143783324 ,  5.31545167905 ,  6.77108027131 ,  1.72579618577 ,  2.88886506145 ,  2.51725734552 ,  4.31579644291 ,  2.1932353588 ,  2.28974508049 ,  0.691762175901 ,  2.20097045599 ,  2.91613087548 ,  2.73804828853 ,  6.79951791569 ,  4.00016109957 ,  0.631678047261 ,  4.22924220377 ,  4.7034366285 ,  3.22815720618 ,  3.68915616111 ,  2.37370208043 ,  2.46905976271 ,  1.20072133671 ,  1.57854903581 ,  1.65260193684 ,  2.76776965403 ,  5.21441041187 ,  2.21136956461 ,  4.56556654745 ,  3.1675169741 ,  6.70615384304 ,  6.53606097509 ,  0.958995151212 ,  3.8556282454 ,  4.88775172919 ,  2.90298234298 ,  2.22599902906 ,  5.99981955947 ,  9.19080621071 ,  8.2069586104 ,  1.21704417553 ,  0.573390437043 ,  3.52388636086 ,  2.92000814316 ,  3.39817912155 ,  4.56301096165 ,  2.3064119861 ,  1.59230246693 ,  0.580457750153 ,  3.66744605193 ,  2.77024508866 ,  3.02388841949 ,  2.25605668656 ,  0.724558127754 ,  0.444678658804 ,  1.76042639933 ,  1.05955001087 ,  8.66896814838 ]
#    oftt4652 = [ 11.254970335 ,  15.4021483483 ,  11.7775629148 ,  10.4385741952 ,  13.9281679549 ,  15.0068746887 ,  16.5787066744 ,  17.3143017474 ,  15.0978173103 ,  18.29603969 ,  21.665610725 ,  17.9528830583 ,  15.1200512838 ,  21.5438616981 ,  57.463870951 ,  35.884844024 ,  45.9173408819 ,  29.9982125939 ,  29.9189724963 ,  101.976802014 ,  80.3255385941 ,  61.6730659404 ,  146.985465072 ,  73.0224868106 ,  121.631351491 ,  142.256449001 ,  77.6879397404 ,  196.855341349 ,  113.52857646 ,  70.434664826 ,  144.944671341 ,  186.593748723 ,  86.1106341402 ,  152.982536316 ,  88.9380983887 ,  121.736301904 ,  264.837457035 ,  316.042458218 ,  213.219161738 ,  172.487279354 ,  475.02731365 ,  304.080759728 ,  91.1618115325 ,  352.066255748 ,  174.477470891 ,  136.585064961 ,  120.070645565 ,  71.4302661875 ,  117.845108726 ,  99.1727425824 ,  438.38939873 ,  534.514360863 ,  166.820604572 ,  105.608459224 ,  91.2602948326 ,  99.4870476877 ,  97.3559604055 ,  188.223381452 ,  135.999350899 ,  655.007973335 ,  110.554955744 ,  200.490865553 ,  138.97887967 ,  175.750865906 ,  321.286383691 ,  163.902401097 ,  126.164767438 ,  296.330432478 ,  751.893739097 ,  264.038237968 ,  147.035838888 ,  206.814076078 ,  278.21163312 ,  135.522146911 ,  285.755826185 ,  217.370241467 ,  221.171193024 ,  41.2132201178 ,  69.882787969 ,  57.6845799964 ,  221.444938431 ,  87.4458514126 ,  90.3503717339 ,  30.2277108438 ,  23.6560146569 ,  107.287600932 ,  78.3196320857 ,  33.4650948842 ,  23.8793686727 ,  97.3776249188 ,  482.91095932 ,  96.2731252127 ,  332.287454694 ,  475.162093583 ,  450.615983759 ,  509.342103686 ,  212.905394128 ,  231.996333297 ,  213.163486926 ,  167.116199969 ,  178.939233262 ,  155.887740087 ,  225.210432375 ,  144.79232078 ,  201.824496139 ,  197.217932975 ,  184.696508651 ,  258.502093298 ,  175.170150528 ,  126.21656522 ,  166.575848178 ,  129.156693377 ,  149.24361566 ,  208.884455158 ,  107.995100782 ,  159.5301822 ,  98.2471982977 ,  192.263053774 ,  54.2257802085 ,  102.995857507 ,  43.5229106057 ,  94.4061070275 ,  72.2791595427 ,  64.0817600155 ,  76.6975650738 ,  56.5202827675 ,  84.839846269 ,  93.716633867 ,  96.0813041682 ,  125.646568478 ,  165.465855093 ,  151.334797203 ,  151.911223236 ,  99.8668273011 ,  134.554501966 ,  122.359312325 ,  159.940699916 ,  132.450445703 ,  118.20043907 ,  109.432930137 ,  132.277450982 ,  102.173166763 ,  126.283072818 ,  104.029629141 ,  103.764235343 ,  105.474739235 ,  74.2963778279 ,  53.3011493721 ,  81.5438486276 ,  33.1745884472 ,  61.6138221862 ,  87.7599763401 ,  44.9983313731 ,  47.2712136634 ,  64.7730690167 ,  100.946926694 ,  44.3633080623 ,  43.8691380705 ,  41.338336938 ,  55.5740921546 ,  44.425398556 ]
#    print 'MEAN - oftt46332: ',np.mean(oftt)
#    print 'MEAN - oftt3470:', np.mean(oftt3470)
#    print 'MEAN - oftt4652: ',np.mean(oftt4652)
#    
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    ylim(0,40)
#    xlim(6,22)
#    errorDis1.set_xlabel('time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,oftt3470,'sr-',label='Lin C.(OFTT)', linewidth=2.5, markersize=6,markerfacecolor='r',markeredgecolor='r')
#    errorDis1.plot(time,oftt4652,'^b--',label='W.T.toKL(OFTT)', linewidth = 2.5, markersize=6,markerfacecolor='b',markeredgecolor='b')    
#    errorDis1.plot(time,oftt,'*k-',label='W.T.toHK(OFTT)', linewidth = 2.5, markersize=6,markerfacecolor='k',markeredgecolor='k')        
#    errorDis1.legend(bbox_to_anchor=(0.52, 1), prop={'size':40})
#    plt.show() 
#elif graph == 17:#Impact of different road - 4652-4633- OFPT OFTT FPT FTT
#    time = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    oftt = [ 11.254970335 ,  15.4021483483 ,  11.7775629148 ,  10.4385741952 ,  13.9281679549 ,  15.0068746887 ,  16.5787066744 ,  17.3143017474 ,  15.0978173103 ,  18.29603969 ,  21.665610725 ,  17.9528830583 ,  15.1200512838 ,  21.5438616981 ,  57.463870951 ,  35.884844024 ,  45.9173408819 ,  29.9982125939 ,  29.9189724963 ,  101.976802014 ,  80.3255385941 ,  61.6730659404 ,  146.985465072 ,  73.0224868106 ,  121.631351491 ,  142.256449001 ,  77.6879397404 ,  196.855341349 ,  113.52857646 ,  70.434664826 ,  144.944671341 ,  186.593748723 ,  86.1106341402 ,  152.982536316 ,  88.9380983887 ,  121.736301904 ,  264.837457035 ,  316.042458218 ,  213.219161738 ,  172.487279354 ,  475.02731365 ,  304.080759728 ,  91.1618115325 ,  352.066255748 ,  174.477470891 ,  136.585064961 ,  120.070645565 ,  71.4302661875 ,  117.845108726 ,  99.1727425824 ,  438.38939873 ,  534.514360863 ,  166.820604572 ,  105.608459224 ,  91.2602948326 ,  99.4870476877 ,  97.3559604055 ,  188.223381452 ,  135.999350899 ,  655.007973335 ,  110.554955744 ,  200.490865553 ,  138.97887967 ,  175.750865906 ,  321.286383691 ,  163.902401097 ,  126.164767438 ,  296.330432478 ,  751.893739097 ,  264.038237968 ,  147.035838888 ,  206.814076078 ,  278.21163312 ,  135.522146911 ,  285.755826185 ,  217.370241467 ,  221.171193024 ,  41.2132201178 ,  69.882787969 ,  57.6845799964 ,  221.444938431 ,  87.4458514126 ,  90.3503717339 ,  30.2277108438 ,  23.6560146569 ,  107.287600932 ,  78.3196320857 ,  33.4650948842 ,  23.8793686727 ,  97.3776249188 ,  482.91095932 ,  96.2731252127 ,  332.287454694 ,  475.162093583 ,  450.615983759 ,  509.342103686 ,  212.905394128 ,  231.996333297 ,  213.163486926 ,  167.116199969 ,  178.939233262 ,  155.887740087 ,  225.210432375 ,  144.79232078 ,  201.824496139 ,  197.217932975 ,  184.696508651 ,  258.502093298 ,  175.170150528 ,  126.21656522 ,  166.575848178 ,  129.156693377 ,  149.24361566 ,  208.884455158 ,  107.995100782 ,  159.5301822 ,  98.2471982977 ,  192.263053774 ,  54.2257802085 ,  102.995857507 ,  43.5229106057 ,  94.4061070275 ,  72.2791595427 ,  64.0817600155 ,  76.6975650738 ,  56.5202827675 ,  84.839846269 ,  93.716633867 ,  96.0813041682 ,  125.646568478 ,  165.465855093 ,  151.334797203 ,  151.911223236 ,  99.8668273011 ,  134.554501966 ,  122.359312325 ,  159.940699916 ,  132.450445703 ,  118.20043907 ,  109.432930137 ,  132.277450982 ,  102.173166763 ,  126.283072818 ,  104.029629141 ,  103.764235343 ,  105.474739235 ,  74.2963778279 ,  53.3011493721 ,  81.5438486276 ,  33.1745884472 ,  61.6138221862 ,  87.7599763401 ,  44.9983313731 ,  47.2712136634 ,  64.7730690167 ,  100.946926694 ,  44.3633080623 ,  43.8691380705 ,  41.338336938 ,  55.5740921546 ,  44.425398556 ]
#    ofpt = [ 0.0380952368607 ,  19.9600558152 ,  13.4880022698 ,  13.0287257478 ,  17.6823742959 ,  16.2185921245 ,  14.9813738701 ,  22.7124676955 ,  12.513328211 ,  15.1142560889 ,  22.0622165229 ,  14.316635244 ,  23.9501884496 ,  17.4527622821 ,  15.8718138814 ,  30.9469172892 ,  103.385236909 ,  21.4037377633 ,  20.3477609298 ,  59.3549337807 ,  49.8732310524 ,  48.856638786 ,  37.2128570467 ,  65.8802584131 ,  88.5206729988 ,  103.587208221 ,  94.7445001189 ,  149.785411116 ,  132.594323691 ,  72.3979902104 ,  97.4777416815 ,  59.8222435117 ,  95.2597152951 ,  61.6500764419 ,  37.9189781618 ,  55.6814046936 ,  66.5206180309 ,  104.13367279 ,  73.0036762377 ,  86.5217424556 ,  52.9025225256 ,  58.0197136069 ,  53.3140937384 ,  46.5161799203 ,  75.005445301 ,  89.3208276211 ,  114.570422262 ,  116.799615365 ,  52.1236274628 ,  30.4753314557 ,  94.678806984 ,  122.833294844 ,  115.331057154 ,  94.0728712513 ,  60.1367644654 ,  86.4620693794 ,  48.0433562648 ,  73.0437373714 ,  74.1628545024 ,  230.070410723 ,  84.2421375255 ,  197.016381195 ,  259.768463819 ,  288.848079713 ,  313.164174893 ,  260.3142054 ,  242.387030162 ,  172.913706495 ,  215.049039453 ,  182.374472598 ,  162.934555613 ,  97.4634539655 ,  127.995822708 ,  79.291146265 ,  159.244406472 ,  99.9625411195 ,  102.181602341 ,  19.8167898121 ,  47.3501142412 ,  43.1821990907 ,  57.6760408442 ,  167.574898104 ,  62.8533056889 ,  34.452306152 ,  26.2047074551 ,  96.665241251 ,  75.3553878064 ,  23.0331199867 ,  20.9357825464 ,  66.0933539556 ,  72.5237326045 ,  139.568983405 ,  258.210958518 ,  296.078920988 ,  330.207870296 ,  308.47137182 ,  357.206489976 ,  234.892942021 ,  411.575466043 ,  292.949959092 ,  306.069437411 ,  320.320702398 ,  211.940781354 ,  195.680654804 ,  243.699072708 ,  311.367932248 ,  204.606444825 ,  223.421298018 ,  287.82735608 ,  184.005726274 ,  171.946137576 ,  184.71441385 ,  187.370767236 ,  232.016189382 ,  167.530066225 ,  174.279554612 ,  76.3405229765 ,  82.9697713767 ,  50.0960801051 ,  96.0927401436 ,  73.7833393385 ,  156.558434571 ,  56.9869482999 ,  61.9623950526 ,  66.9929152509 ,  51.6854147853 ,  63.9769017566 ,  82.729149904 ,  106.211419137 ,  225.916251041 ,  294.835602394 ,  124.747211606 ,  126.373700584 ,  113.755637245 ,  115.473047199 ,  111.756753196 ,  143.636011756 ,  142.390331702 ,  231.08875356 ,  125.598328539 ,  181.071301285 ,  62.9119154529 ,  200.061404494 ,  147.786321119 ,  193.981656012 ,  103.328965277 ,  123.654265111 ,  67.7235166662 ,  126.536482967 ,  39.3834667113 ,  122.132858102 ,  164.983444697 ,  41.9965951138 ,  42.3467040968 ,  102.292387249 ,  138.476969041 ,  34.1286973549 ,  42.7799383034 ,  55.7448826687 ,  85.4480333617 ,  74.7825739977 ]
#    ftt = [ 12.9015450362 ,  14.561374096 ,  11.1048652202 ,  14.9686390533 ,  13.1166666667 ,  12.7833333333 ,  13.7805719921 ,  15.2138395792 ,  11.0142669297 ,  17.7908284024 ,  28.8949375411 ,  20.4291255753 ,  17.4190006575 ,  24.3470742932 ,  22.3348126233 ,  26.9939513478 ,  32.8041091387 ,  30.0650230112 ,  36.1677186062 ,  43.3797501644 ,  50.4890861275 ,  50.3843852728 ,  56.5166666667 ,  49.5387245233 ,  76.7454635108 ,  94.8377712032 ,  107.789480605 ,  104.157001972 ,  95.0998356345 ,  67.3069033531 ,  87.9617685733 ,  104.143228139 ,  86.0252794214 ,  106.808612755 ,  98.4787968442 ,  88.9909598948 ,  103.627514793 ,  120.626692965 ,  97.7545364892 ,  83.5467784352 ,  78.0936554898 ,  63.9267587114 ,  78.2200197239 ,  51.2222222222 ,  71.078139382 ,  58.5553583169 ,  72.9546351085 ,  66.8321170283 ,  58.3860618014 ,  71.9022024984 ,  100.592537804 ,  77.4753780408 ,  80.9312623274 ,  96.8446416831 ,  83.0 ,  100.913872452 ,  99.39460881 ,  91.4078895464 ,  93.8680144642 ,  138.582281394 ,  107.411111111 ,  134.545463511 ,  109.592669297 ,  149.169395135 ,  171.862327416 ,  137.919723866 ,  103.746811308 ,  140.163477975 ,  125.478369494 ,  116.332314267 ,  123.549309665 ,  111.668573307 ,  120.697205786 ,  107.407495069 ,  141.380078895 ,  140.012754767 ,  87.7519066404 ,  58.4285667324 ,  67.1962195924 ,  53.1629848784 ,  97.6405325444 ,  83.086522025 ,  83.869165023 ,  71.8678829717 ,  54.6047666009 ,  84.4117028271 ,  61.7485207101 ,  43.8882314267 ,  39.0250164366 ,  55.1647600263 ,  90.8746219592 ,  86.9327416174 ,  125.711768573 ,  105.419493754 ,  132.142800789 ,  146.955193951 ,  172.830407627 ,  169.765187377 ,  183.881459566 ,  148.243852728 ,  130.269723866 ,  155.757856673 ,  137.38869165 ,  146.605555556 ,  138.236061801 ,  153.543096647 ,  148.230703485 ,  166.50433925 ,  141.315877712 ,  131.105489809 ,  119.428566732 ,  128.192669297 ,  131.945364892 ,  136.602399737 ,  95.4309335963 ,  111.751643655 ,  111.677186062 ,  77.5657462196 ,  81.8848454964 ,  121.348487837 ,  120.029224195 ,  101.962163051 ,  126.296416831 ,  161.175279421 ,  139.391617357 ,  91.6458908613 ,  91.8878369494 ,  92.9312623274 ,  101.374128863 ,  112.761275477 ,  147.180966469 ,  129.361472715 ,  125.599375411 ,  124.9960881 ,  163.148224852 ,  169.338231427 ,  202.834451019 ,  134.519395135 ,  156.039480605 ,  109.782281394 ,  122.381985536 ,  96.0480604865 ,  118.335700197 ,  98.9989480605 ,  100.077777778 ,  97.9527942143 ,  70.7997698882 ,  56.7159763314 ,  73.4480276134 ,  34.4561801446 ,  66.3166666667 ,  68.7224852071 ,  59.8510848126 ,  57.5100920447 ,  60.975443787 ,  91.6849769888 ,  45.2640368179 ,  48.6392504931 ,  47.7057527942 ,  54.1409598948 ,  53.8108481262 ]
#    fpt = [ 0.185250108584 ,  18.7298997983 ,  10.4221457281 ,  19.7539635855 ,  20.9382304709 ,  15.6660807214 ,  15.3789957542 ,  18.3669908749 ,  15.5929468933 ,  17.9947555467 ,  25.699607406 ,  16.8783166703 ,  22.6131586883 ,  24.9727701797 ,  18.6871583016 ,  26.2983047206 ,  27.7388037603 ,  24.9672739411 ,  29.9169731554 ,  42.1633496988 ,  46.0803914158 ,  44.6621437198 ,  46.3005699615 ,  52.6331423719 ,  77.3283509975 ,  91.6241420432 ,  97.1977287438 ,  95.4706242083 ,  116.24967788 ,  74.9834823432 ,  100.229760346 ,  79.6717038248 ,  93.6772364293 ,  75.0929015829 ,  62.3382937466 ,  65.9587731782 ,  61.2845870273 ,  56.4539522345 ,  65.8600537484 ,  75.1401901948 ,  44.8725025339 ,  52.2956645042 ,  61.1779945792 ,  47.6196316521 ,  93.2089417941 ,  89.6526084309 ,  103.142443919 ,  91.0210234046 ,  53.4768802679 ,  62.1622583034 ,  90.6081634069 ,  96.7405551185 ,  107.783863336 ,  85.6028742536 ,  62.8394957732 ,  66.0351044636 ,  49.4961785196 ,  72.9542973085 ,  75.2634565946 ,  183.534129915 ,  88.0172158156 ,  166.047041676 ,  158.252229597 ,  220.777913178 ,  223.507612698 ,  188.3968377 ,  156.069731753 ,  143.554411802 ,  163.41064633 ,  138.452686866 ,  150.784542796 ,  87.0617628524 ,  142.716297258 ,  125.283259879 ,  150.611195237 ,  98.3837588993 ,  84.43023878 ,  77.2967137588 ,  69.7941485119 ,  45.4038843722 ,  55.1031517 ,  103.000800993 ,  80.0981825414 ,  68.4871799428 ,  63.864023989 ,  86.4226465396 ,  43.9384207526 ,  45.1349671826 ,  55.5185339792 ,  65.4454087042 ,  105.234302597 ,  86.4110838289 ,  155.736565532 ,  176.736877621 ,  217.631645119 ,  181.247163557 ,  264.947497821 ,  226.565979718 ,  311.682481953 ,  256.931350699 ,  233.635126744 ,  277.299792319 ,  174.538511914 ,  183.795634649 ,  168.432617043 ,  194.786829307 ,  161.407163231 ,  196.096111581 ,  228.201127679 ,  148.383979718 ,  174.980676206 ,  184.153293078 ,  134.197221239 ,  159.265563883 ,  116.329032707 ,  127.226590373 ,  70.0357823165 ,  68.0620633405 ,  48.4999127316 ,  92.6668981593 ,  122.807621721 ,  151.221349387 ,  101.553562734 ,  143.625627706 ,  85.85251897 ,  47.3543026057 ,  48.923109977 ,  77.666693659 ,  73.2474164448 ,  163.963343427 ,  257.998370432 ,  158.930243377 ,  103.430232419 ,  113.415679301 ,  90.1217277917 ,  142.897440683 ,  173.041357791 ,  129.261820347 ,  157.914893013 ,  95.3457152069 ,  117.077033426 ,  58.9939379382 ,  159.042634881 ,  131.680400568 ,  178.796718423 ,  96.2186916525 ,  103.24786081 ,  62.7341683884 ,  129.084010044 ,  50.6771063679 ,  103.588832506 ,  128.521870122 ,  46.7524792451 ,  66.0289053121 ,  80.9750760851 ,  96.6758540694 ,  32.7387107375 ,  47.4654868016 ,  54.6508252008 ,  66.6032787586 ,  64.2292813294 ]    
#    print 'MEAN - ofpt: ',np.mean(ofpt)
#    print 'MEAN - oftt:', np.mean(oftt)
#    print 'MEAN - fpt: ',np.mean(fpt)
#    print 'MEAN - ftt: ',np.mean(ftt)
#    
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    #ylim(0,40)
#    xlim(6,22)
#    errorDis1.set_xlabel('time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,oftt,'sr-',label='OFTT', linewidth=2.5, markersize=6,markerfacecolor='r',markeredgecolor='r')
#    errorDis1.plot(time,ftt,'^b--',label='FTT', linewidth = 2.5, markersize=6,markerfacecolor='b',markeredgecolor='b')    
#    errorDis1.plot(time,fpt,'oy-',label='FPT', linewidth = 2.5, markersize=6,markerfacecolor='y',markeredgecolor='y')        
#    errorDis1.plot(time,ofpt,'*k-',label='OFPT', linewidth = 2.5, markersize=6,markerfacecolor='k',markeredgecolor='k')        
#    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':40})
#    plt.show() 
#elif graph == 18:#Impact of different road - 3470-3006- OFPT OFTT FPT FTT
#    time = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    oftt = [ 0.0322580639001 ,  0.199130756241 ,  0.138399733884 ,  0.0951491767782 ,  0.139980392441 ,  0.214395988206 ,  0.472442130759 ,  0.256767658342 ,  0.356613937972 ,  3.26910037897 ,  1.84724248885 ,  1.88394345477 ,  0.435483945574 ,  0.193641527498 ,  0.546427018378 ,  0.624716854522 ,  0.653724476082 ,  0.562016007533 ,  0.594812942841 ,  0.576686645373 ,  0.473944584852 ,  0.527134993734 ,  0.763573015788 ,  0.501697787212 ,  0.864641298725 ,  1.25651049804 ,  0.541841704786 ,  1.03123866898 ,  3.69877152612 ,  6.64874005687 ,  4.99762526088 ,  16.6863149042 ,  8.65029212647 ,  1.34591531454 ,  2.48255837314 ,  10.3433809353 ,  4.21839154795 ,  3.42782383306 ,  5.98209801069 ,  4.04394153371 ,  5.51678816754 ,  14.4811675608 ,  6.19744320187 ,  18.6015115674 ,  9.34944665925 ,  12.5098483846 ,  6.93553648299 ,  6.26165189033 ,  5.91351196801 ,  4.94598352055 ,  6.56423352037 ,  8.38032333568 ,  1.94080589944 ,  3.26264154319 ,  5.30182395671 ,  5.30934855144 ,  3.72205666775 ,  3.88653784221 ,  1.36323897856 ,  2.88399727916 ,  6.12800154037 ,  4.26736545038 ,  1.663193397 ,  1.38643223367 ,  2.52393323872 ,  5.37354192819 ,  5.86980376724 ,  1.788093111 ,  1.60016677418 ,  1.56158770941 ,  1.14670579706 ,  1.22040957645 ,  2.38395059924 ,  0.553050096774 ,  0.394629391035 ,  1.45187837763 ,  1.02672947142 ,  1.56448189486 ,  2.9196160445 ,  2.36580853461 ,  3.9719538667 ,  4.16512672781 ,  5.11886133385 ,  5.94663232366 ,  3.64605623104 ,  5.18101642781 ,  5.19390617448 ,  6.18317387543 ,  7.71660348115 ,  6.88891139959 ,  10.6516846923 ,  10.1630046228 ,  6.93686052799 ,  5.15578887233 ,  5.48607878118 ,  5.39235714752 ,  1.80071012266 ,  2.54767894594 ,  6.58354652636 ,  8.5068414763 ,  2.83021362063 ,  2.94010470901 ,  7.07325968393 ,  9.06143783324 ,  5.31545167905 ,  6.77108027131 ,  1.72579618577 ,  2.88886506145 ,  2.51725734552 ,  4.31579644291 ,  2.1932353588 ,  2.28974508049 ,  0.691762175901 ,  2.20097045599 ,  2.91613087548 ,  2.73804828853 ,  6.79951791569 ,  4.00016109957 ,  0.631678047261 ,  4.22924220377 ,  4.7034366285 ,  3.22815720618 ,  3.68915616111 ,  2.37370208043 ,  2.46905976271 ,  1.20072133671 ,  1.57854903581 ,  1.65260193684 ,  2.76776965403 ,  5.21441041187 ,  2.21136956461 ,  4.56556654745 ,  3.1675169741 ,  6.70615384304 ,  6.53606097509 ,  0.958995151212 ,  3.8556282454 ,  4.88775172919 ,  2.90298234298 ,  2.22599902906 ,  5.99981955947 ,  9.19080621071 ,  8.2069586104 ,  1.21704417553 ,  0.573390437043 ,  3.52388636086 ,  2.92000814316 ,  3.39817912155 ,  4.56301096165 ,  2.3064119861 ,  1.59230246693 ,  0.580457750153 ,  3.66744605193 ,  2.77024508866 ,  3.02388841949 ,  2.25605668656 ,  0.724558127754 ,  0.444678658804 ,  1.76042639933 ,  1.05955001087 ,  8.66896814838 ]
#    #ofpt =  [ 0.367287376912 ,  0.255990125587 ,  0.398710890821 ,  2.15491047462 ,  2.71088760485 ,  0.678656976138 ,  3.48039689111 ,  4.87034939301 ,  0.181808567997 ,  1.98593998316 ,  4.67721064418 ,  2.52160587807 ,  0.270940576885 ,  3.74942068061 ,  4.67658038974 ,  3.23150201399 ,  8.04486808981 ,  7.26315630715 ,  4.78422404565 ,  5.00451700876 ,  4.07677178229 ,  1.88240371286 ,  3.58629109869 ,  5.34345046021 ,  7.93236202226 ,  6.40640114718 ,  10.6470284164 ,  2.93048747337 ,  3.97422538351 ,  11.5998809581 ,  8.32928120025 ,  6.64584186064 ,  5.37604362364 ,  0.979313677995 ,  0.630637011013 ,  12.4780777129 ,  4.72845613502 ,  0.508467973181 ,  0.441684472528 ,  2.75286239933 ,  9.29662508661 ,  6.54144871724 ,  0.632359421664 ,  1.19505001867 ,  2.26375833151 ,  2.35638418275 ,  1.7719824752 ,  3.40270576498 ,  0.555746178187 ,  0.476909705733 ,  1.8564183413 ,  1.00025750313 ,  0.877332326374 ,  0.855291856614 ,  2.14846294601 ,  3.36894072444 ,  4.93826513439 ,  6.18452114807 ,  2.75445880786 ,  3.45924795665 ,  2.37526097453 ,  4.7152196156 ,  5.21731677608 ,  10.7911134262 ,  9.07590395291 ,  15.964288722 ,  13.2593753825 ,  6.08622444799 ,  3.27113602765 ,  8.17837716346 ,  5.15116127609 ,  2.90131583147 ,  1.35394538344 ,  14.7662624172 ,  16.5800433351 ,  5.49624389695 ,  4.17222806315 ,  9.9660958145 ,  18.0719797814 ,  13.96071577 ,  5.84693173672 ,  1.05862302716 ,  1.68487003255 ,  1.7913511906 ,  2.47832887626 ,  1.58541747652 ,  0.922559514942 ,  0.292594679076 ,  1.03988851826 ,  2.46034361792 ,  0.531716198763 ,  16.5588702723 ,  10.1550819239 ,  1.23020388465 ,  1.42467222539 ,  4.29773683389 ,  4.1775726096 ,  5.10814544885 ,  3.24872970869 ,  5.25915802408 ,  2.60947339745 ,  1.31098885399 ,  2.16560611775 ,  3.66595956257 ,  5.52832914651 ,  1.19051648105 ,  5.13309475436 ,  2.14273829156 ,  16.1537986977 ,  16.3058136599 ,  1.24573116274 ,  1.85328529931 ,  1.41119930344 ,  1.54432374222 ,  1.64348669897 ,  9.19040661879 ,  19.3347246229 ,  21.6112079374 ,  0.487943199008 ,  1.25280402054 ,  2.11495288736 ,  0.734859107327 ,  0.583609579072 ,  0.918380803283 ,  2.03324621229 ,  1.97867901385 ,  0.800056439273 ,  1.39192863838 ,  4.20873038445 ,  1.13695736595 ,  0.642994681004 ,  1.30596438677 ,  0.359520277009 ,  0.479109248441 ,  0.542365235229 ,  5.90138313352 ]
#    ftt = [ 0.0339579224195 ,  0.218967784352 ,  0.225410913872 ,  0.0631821170283 ,  0.168869165023 ,  0.194247205786 ,  0.258284023669 ,  0.102333990796 ,  0.888527284681 ,  1.16768573307 ,  1.47222222222 ,  1.03211702827 ,  0.311111111111 ,  0.163905325444 ,  0.57741617357 ,  0.477514792899 ,  0.466042077581 ,  0.424095989481 ,  0.489579224195 ,  0.422222222222 ,  0.377942143327 ,  0.385963182117 ,  0.560946745562 ,  0.356245890861 ,  0.662590401052 ,  0.987771203156 ,  0.46127547666 ,  0.790433925049 ,  1.24418145957 ,  2.43027613412 ,  1.59375410914 ,  2.80621301775 ,  2.20591715976 ,  1.02623274162 ,  1.98402366864 ,  3.71732412886 ,  2.99493754109 ,  2.68839579224 ,  2.52899408284 ,  3.00410913872 ,  3.14760026298 ,  5.48888888889 ,  4.83333333333 ,  4.35923734385 ,  3.87777777778 ,  3.24381985536 ,  3.63648915187 ,  5.16929651545 ,  4.4771860618 ,  3.73819855358 ,  4.61147271532 ,  6.14621959237 ,  1.4335634451 ,  2.36019066404 ,  3.7033530572 ,  3.88484549638 ,  3.0060486522 ,  3.22777777778 ,  1.27984878369 ,  2.68852728468 ,  4.86104536489 ,  3.76019066404 ,  1.89076265615 ,  1.63185404339 ,  2.03027613412 ,  4.98740959895 ,  4.87712031558 ,  1.37922419461 ,  1.27843523997 ,  1.30690335306 ,  1.82409598948 ,  1.86446416831 ,  2.38915187377 ,  1.35890861275 ,  1.35555555556 ,  2.07843523997 ,  1.94365548981 ,  2.31203155819 ,  3.51374095989 ,  2.98333333333 ,  3.34204470743 ,  3.65956607495 ,  3.76045364892 ,  5.16137409599 ,  3.27222222222 ,  4.08353057199 ,  4.33563445102 ,  4.94375410914 ,  5.98057199211 ,  5.38895463511 ,  8.71009204471 ,  7.68681788297 ,  5.31916502301 ,  4.01735700197 ,  4.24385272847 ,  4.07498356345 ,  2.98911900066 ,  2.3553583169 ,  5.2164365549 ,  7.09365548981 ,  3.30880999343 ,  2.76900065746 ,  5.5939513478 ,  6.78888888889 ,  4.67074293228 ,  6.42370151216 ,  2.60634451019 ,  3.76084812623 ,  2.73744247206 ,  3.87777777778 ,  2.7040105194 ,  3.5315581854 ,  1.60828402367 ,  2.31479289941 ,  2.83333333333 ,  3.58888888889 ,  5.64894806049 ,  3.89723865878 ,  1.32071005917 ,  3.86446416831 ,  4.39082840237 ,  4.0352399737 ,  3.29444444444 ,  2.45220249836 ,  2.25828402367 ,  1.19000657462 ,  1.79750164366 ,  1.92547666009 ,  2.64451019066 ,  5.40322156476 ,  4.58096646943 ,  3.92899408284 ,  3.03786982249 ,  5.11137409599 ,  5.85147928994 ,  1.21715976331 ,  3.09211045365 ,  4.28182117028 ,  3.15834976989 ,  4.89165023011 ,  10.3704470743 ,  13.3107495069 ,  15.1642669297 ,  11.4271203156 ,  18.816469428 ,  16.2660749507 ,  20.9888888889 ,  16.3980604865 ,  19.9222222222 ,  20.0557527942 ,  21.7017751479 ,  17.0006574622 ,  22.9712031558 ,  14.7480933596 ,  8.13168967784 ,  1.29921104536 ,  0.871170282709 ,  0.713905325444 ,  2.89510190664 ,  1.09119000657 ,  6.38888888889 ]
#    fpt = [ 0.285500028955 ,  0.363930281139 ,  0.452314400195 ,  0.378981071097 ,  0.286445282977 ,  0.436414126369 ,  0.469368883988 ,  0.418832875558 ,  1.39989519081 ,  0.933376195809 ,  0.15782688218 ,  0.238246398388 ,  0.662520903232 ,  0.225219768548 ,  0.556059238649 ,  0.75034474332 ,  0.614562198298 ,  0.160522421462 ,  0.366478180358 ,  0.412835837743 ,  0.57587239148 ,  0.633204036832 ,  0.251365436223 ,  0.103666580422 ,  0.240336757345 ,  0.25125496347 ,  0.158596891531 ,  0.258000345407 ,  1.45265979948 ,  1.93070899023 ,  0.37645644796 ,  2.5063431843 ,  3.39625793867 ,  0.176995763244 ,  1.21476559604 ,  1.55331585512 ,  2.75910170925 ,  1.34722590857 ,  2.81876191069 ,  2.98915768783 ,  2.45803022059 ,  6.61109464324 ,  5.42525218223 ,  3.60888750749 ,  3.22110298736 ,  3.25160448639 ,  1.43879873764 ,  3.11085756402 ,  4.33282068474 ,  6.03753195414 ,  5.40689139089 ,  7.74866887985 ,  2.17912747164 ,  2.99132167054 ,  8.31757844613 ,  6.46879361332 ,  4.41087691737 ,  3.86308538269 ,  0.681738929864 ,  1.18266777885 ,  11.1109535199 ,  5.51673105194 ,  0.841285027336 ,  0.441369139415 ,  2.14770504032 ,  8.02395210671 ,  6.86768134272 ,  0.684529511949 ,  1.09521465673 ,  1.83249951695 ,  1.79661414357 ,  1.49309808497 ,  2.67662510588 ,  0.444410439539 ,  0.811601984971 ,  1.61288855371 ,  2.39155631948 ,  1.9196740074 ,  1.70824693986 ,  2.45039840252 ,  3.30789364405 ,  3.71688973097 ,  4.80971956168 ,  3.508980229 ,  2.52599064774 ,  2.12355478296 ,  3.60428546718 ,  4.18979794889 ,  9.27994329649 ,  7.03391582157 ,  10.648282572 ,  5.15543392949 ,  5.23828111858 ,  3.99522995564 ,  6.40135656351 ,  3.33011698012 ,  3.42595792088 ,  0.887920546277 ,  9.9063025046 ,  12.3892931963 ,  5.77314847668 ,  3.43746839542 ,  7.67484375709 ,  12.3297812159 ,  9.30606192381 ,  5.88982691265 ,  2.7806659404 ,  2.42147134238 ,  1.56921401765 ,  2.26569041117 ,  2.05704237866 ,  3.68825624997 ,  2.62980613877 ,  2.08601428096 ,  2.15463120912 ,  2.12097583292 ,  12.0181020104 ,  8.76136547779 ,  1.51607823457 ,  1.75588636357 ,  3.67988553676 ,  5.16254546425 ,  3.89581340977 ,  3.16968429168 ,  4.3081855229 ,  2.12780904865 ,  1.02279538146 ,  2.07169198145 ,  3.7928610568 ,  6.00395450386 ,  4.65880327762 ,  5.13929330473 ,  3.66703817684 ,  11.6542576756 ,  13.3448215367 ,  1.10267510654 ,  1.75606711166 ,  1.90362678901 ,  2.37726986022 ,  4.40801447609 ,  10.7108819679 ,  19.1123797487 ,  21.9144168831 ,  11.4729174715 ,  26.1441100047 ,  14.1112663432 ,  12.2157467347 ,  9.47224430272 ,  7.76382406644 ,  3.72067391465 ,  6.27401352228 ,  11.9575959907 ,  27.0941596366 ,  1.4149245575 ,  1.08184704264 ,  0.775724340466 ,  0.763910275063 ,  0.419415884139 ,  0.428053058844 ,  0.740069330471 ,  2.44294731878 ]
#    #print 'MEAN - ofpt: ',np.mean(ofpt)
#    print 'MEAN - oftt:', np.mean(oftt)
#    print 'MEAN - fpt: ',np.mean(fpt)
#    print 'MEAN - ftt: ',np.mean(ftt)
#    
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    #ylim(0,40)
#    xlim(6,22)
#    errorDis1.set_xlabel('time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,oftt,'sr-',label='OFTT', linewidth=2.5, markersize=6,markerfacecolor='r',markeredgecolor='r')
#    errorDis1.plot(time,ftt,'^b--',label='FTT', linewidth = 2.5, markersize=6,markerfacecolor='b',markeredgecolor='b')    
#    errorDis1.plot(time,fpt,'oy-',label='FPT', linewidth = 2.5, markersize=6,markerfacecolor='y',markeredgecolor='y')        
#    #errorDis1.plot(time,ofpt,'*k-',label='OFPT', linewidth = 2.5, markersize=6,markerfacecolor='k',markeredgecolor='k')        
#    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':40})
#    plt.show() 

elif graph == 19.1:#different prediction time - TPO-T vs TP-T
#TPO-T V.S. TP-T: Mean MSE on 20:00 - 22:00, as a function of prediction length.
    time = [0.2, 0.4, 0.6, 0.8, 1, 1.2, 1.4, 1.6, 1.8, 2]
    occ = [3.49423864183, 3.49407962963, 3.49418338963,  3.49420338963, 3.49447537026, 3.49461046928, 3.4947523369, 3.49625917075, 3.49653884244, 3.49680735464]
    traf = [6.34534391535, 6.34534391535, 6.34534391535, 6.34534391535, 6.34534391535, 6.34534391535, 6.34534391535, 6.34534391535, 6.34534391535, 6.34534391535]
    print 'MEAN - occ: ',np.mean(occ)
    print 'MEAN - traf:', np.mean(traf)
     #ylim(0,40)
    xlim(0.2,2)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    errorDis1.set_xlabel('Prediction Length (hour)',size=50)
    errorDis1.set_ylabel('Mean MSE',size=50)
    errorDis1.plot(time,occ,'sk-',label='TPO-T', linewidth=2.5, markersize=30,markerfacecolor='k',markeredgecolor='k')
    errorDis1.plot(time,traf,'*r--',label='TP-T', linewidth = 2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')    
    errorDis1.legend(bbox_to_anchor=(0.3, 0.53), prop={'size':40}) 
    plt.grid(True, linewidth = 3)
    plt.show() 
#elif graph == 20:#weight of occupancy - different prediction time
#    time = [0.2, 0.4, 0.6, 0.8, 1, 1.2]
#    occ = [0.0145420473606, 0.0540377298752, 0.0794013275901, 0.0609779403914, 0.0804013275901, 0.00206971826242]#0.0191253722211]
#    traf = [0.0108831159948, 0.0108958069672, 0.0629231822061, 0.0615828235894, 0.0629231822061, 0.0427004820786]#0.0143713279428]
#    #0.0145420473606 0.0540377298752 0.0794013275901 0.0609779403914 0.0804013275901 0.00206971826242 0.0389080100848 0.0191253722211
#    #0.0108831159948 0.0108958069672 0.0629231822061 0.0615828235894 0.0629231822061 0.0427004820786 0.0287928551123 0.0143713279428
#
#    print 'MEAN - occ: ',np.mean(occ)
#    print 'MEAN - traf:', np.mean(traf)
#    for i in range(len(occ)):
#        print occ[i]/traf[i]
#    
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    errorDis1.set_xlabel('prediction time',size=50)
#    errorDis1.set_ylabel('weight',size=50)
#    errorDis1.plot(time,occ,'ok-',label='TPO-PT', linewidth=2.5, markersize=6,markerfacecolor='w',markeredgecolor='k')
#    errorDis1.plot(time,traf,'vr--',label='TP-P', linewidth = 2.5, markersize=6,markerfacecolor='w',markeredgecolor='r')    
#    errorDis1.legend(bbox_to_anchor=(0.3, 1), prop={'size':40}) 
#    plt.show() 

#elif graph == 22:#overview 2a different training time
#    time = [2,4,6,8,10,12]
#    occ = [10.8529139633, 4.07865387387, 3.38408769104, 3.06303387774,3.04027656595,2.74723547149]
#    #traf = [1,1,1,1,1,1]
#        
#    #traf = [0.0108831159948, 0.0108958069672, 0.0629231822061, 0.0615828235894, 0.0629231822061, 0.0143713279428]
#    #0.0145420473606 0.0540377298752 0.0794013275901 0.0609779403914 0.0804013275901 0.00206971826242 0.0389080100848 0.0191253722211
#    #0.0108831159948 0.0108958069672 0.0629231822061 0.0615828235894 0.0629231822061 0.0427004820786 0.0287928551123 0.0143713279428
#
#    print 'MEAN -occ: ',np.mean(occ)
#    #print 'MEAN - traf:', np.mean(traf)
#
#    
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    errorDis1.set_xlabel('training time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,occ,'ok-',label='TPO-PT', linewidth=2.5, markersize=6,markerfacecolor='w',markeredgecolor='k')
#    #errorDis1.plot(time,traf,'vr--',label='TP-P/TP-P', linewidth = 2.5, markersize=6,markerfacecolor='w',markeredgecolor='r')    
#    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':40}) 
#    plt.show()
elif graph == 23.4: #today data VS last week data - traf   
    weeks = [1, 2, 3, 4, 5, 6, 7, 8]
    msew = [7.125, 7.57142857143, 7.14285714286, 5.98214285714, 5.96428571429, 6.46428571429, 4.19642857143, 4.92857142857]
    hours = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8]
    mseh = [8.72380952382,  10.8071428571, 14.5571428571, 14.5571428571, 20.6714285714, 24.6238095238, 24.5833333333, 24.6833333333]
    host = host_subplot(111, axes_class=AA.Axes)
    par1 = host.twiny()
        
    host.set_xlim(0.5, 9)
    host.set_ylim(3, 26)
    par1.set_xlim(0.05, 0.9)
    
    host.set_xlabel("The Feature Used to Forecast ($^{th}$ Week)")
    host.set_ylabel("Mean MSE")
    par1.set_xlabel("The Feature Used to Forecast ($^{th}$ Hour)")
    
    p1, = host.plot(weeks, msew, 'sk-', label="Weeks", linewidth=2.5, markersize=30,markerfacecolor='k',markeredgecolor='k')
    p2, = par1.plot(hours, mseh, '*r--',label="Hours", linewidth = 2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')
    
    #host.lengend()
    host.legend(bbox_to_anchor=(0.3, 1), prop={'size':40}) 
    
    host.axis["bottom"].label.set_color(p1.get_color())
    par1.axis["top"].label.set_color(p2.get_color())
    
    plt.rcParams['xtick.labelsize'] = 40
    plt.rcParams['ytick.labelsize'] = 40
    plt.rcParams['axes.labelsize'] = 50
    
    #plt.draw()
    plt.show()
elif graph == 23.5: #today data VS last week data - occ  
    weeks = [1, 2, 3, 4, 5, 6, 7, 8]
    msew = [26.9043830705, 24.6988063126, 22.9170992674, 21.5557148684, 20.5867821914, 17.4954938393, 14.4105776977, 12.3127625011]
    hours = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8]
    mseh = [28.9771843927, 30.2716394347, 31.3493024074, 32.7673045885, 34.1883494418, 36.102105556, 37.8930565905, 39.7977198059]
    host = host_subplot(111, axes_class=AA.Axes)
    par1 = host.twiny()
        
    host.set_xlim(0.5, 9)
    #host.set_ylim(3, 26)
    par1.set_xlim(0.05, 0.9)
    
    host.set_xlabel("The Feature Used to Forecast ($^{th}$ of Week)")
    host.set_ylabel("Mean MSE")
    par1.set_xlabel("The Feature Used to Forecast ($^{th}$ of Hour)")
    
    p1, = host.plot(weeks, msew, 'sk-', label="Weeks", linewidth=2.5, markersize=30,markerfacecolor='k',markeredgecolor='k')
    p2, = par1.plot(hours, mseh, '*r--',label="Hours", linewidth = 2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')
    
    #host.lengend()
    host.legend(bbox_to_anchor=(0.3, 1), prop={'size':40}) 
    
    host.axis["bottom"].label.set_color(p1.get_color())
    par1.axis["top"].label.set_color(p2.get_color())
    
    plt.rcParams['xtick.labelsize'] = 40
    plt.rcParams['ytick.labelsize'] = 40
    plt.rcParams['axes.labelsize'] = 50
    
    #plt.draw()
    plt.show()
#elif graph == 24:#TPO-PT VS TPO-SPT in EV, 3 months training, 1 month testing
#    time1 = [ 15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1, 18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9, 21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8,   23.9 ,  24.0]
#    occ1 = [ 3.33126992611 ,  2.15235043881 ,  4.21215375236 ,  2.04146402499 ,  2.26508236112 ,  1.75842743987 ,  3.83752010319 ,  1.79356812562 ,  2.71647871756 ,  2.98920028076 ,  3.06963761795 ,  3.78037524154 ,  2.11330949347 ,  3.62306600989 ,  2.10132375418 ,  2.79890211351 ,  2.45220911956 ,  2.0962944359 ,  1.71888897623 ,  2.00237892092 ,  1.36971503061 ,  1.75017286044 ,  1.87819485903 ,  2.77200592938 ,  0.927552735382 ,  2.16110258543 ,  0.952612535679 ,  1.55876494568 ,  2.43936505277 ,  2.74032154014 ,  2.20187230613 ,  2.62732676781, 1.81709347884 ,  2.68646819361 ,  4.87840695719 ,  3.58804992604 ,  1.96027598281 ,  2.16400733578 ,  4.55698744552 ,  2.61612107743 ,  4.1007299461 ,  2.60197595024 ,  2.42772928849 ,  3.70504358394 ,  2.64089183244 ,  2.53083484208 ,  2.69596558723 ,  3.82189848477 ,  2.10858933652 ,  2.69381421149 ,  4.48942308279 ,  3.48776778082 ,  1.75831208948 ,  1.48030854681 ,  3.2901866737 ,  2.33799936521 ,  1.50491990853 ,  1.23953538087 ,  1.19008302381 ,  2.36576100342, 2.57888534853 ,  2.052794471 ,  2.64644323686 ,  1.35534774334 ,  5.6573022579 ,  4.76819909982 ,  1.85043233584 ,  3.46190356262 ,  5.28356384041 ,  1.84882416982 ,  3.01211103176 ,  4.59728665448 ,  8.01181670627 ,  6.44190774176 ,  7.57429158629 ,  5.66900034971 ,  4.30244931982 ,  6.23339404063 ,  6.88638460847 ,  4.63713969717 ,  5.75838213042 ,  3.38303474858 ,  4.29114582128 ,  2.74825804228 ,  2.33363923855 ,  2.26640425042 ,  4.06245325649 ,  3.02492973852 ,  4.13263598916, 4.06968874886 ,  3.87911988994]
#    ha1 = [ 3.7312510252 ,  2.38592263828 ,  2.67330207956 ,  2.3562696227 ,  2.46235555892 ,  1.94224601755 ,  3.74153934132 ,  2.2949674808 ,  3.13336998512 ,  3.26076611749 ,  2.6147343971 ,  4.01572760269 ,  1.95988720954 ,  3.451438663 ,  2.20709506049 ,  3.32847903104 ,  2.34290607601 ,  2.0444927526 ,  1.36423972748 ,  1.754432254 ,  1.33594434381 ,  1.73757953638 ,  2.32524007437 ,  2.32866595174 ,  0.522422263228 ,  1.86583750608 ,  1.00270616505 ,  1.63000126756 ,  2.30811844706 ,  2.08056082117 ,  2.11980314084 ,  2.40932182991 ,  1.70386804182 ,  2.4905292818 ,  3.55193722165 ,  3.07332621401 ,  2.57585333808 ,  2.25824597719 ,  3.74812118499 ,  2.04741740671 ,  3.74092252922 ,  2.27863554173 ,  2.4435919558 ,  2.47782477621 ,  2.55264270929 ,  2.90733544911 ,  3.45142599973 ,  3.7378478315 ,  2.38964354763 ,  3.5411240839 ,  3.9835438965 ,  4.24102420913 ,  2.53707864592 ,  1.53338138369 ,  3.47668683748 ,  2.27456733723 ,  1.70587416273 ,  1.95482152915 ,  1.79873657824 ,  2.14137951729 ,  2.73161901349 ,  2.49054447854 ,  2.92602828779 ,  1.54379576916 ,  13.4958824612 ,  7.17559143096 ,  5.62961282427 ,  8.58632521278 ,  11.9105687683 ,  5.03106092181 ,  2.95721345125 ,  4.25331334679 ,  7.0072019294 ,  6.64121121257 ,  6.08372965176 ,  6.29265184095 ,  4.74285634532 ,  5.66860037478 ,  5.06555966792 ,  5.06833940864 ,  5.38452528704 ,  31.0442855478 ,  16.5223509018 ,  2.75200122425 ,  19.662561423 ,  2.51909960457 ,  24.8021572024 ,  27.0008148889 ,  13.3302578298 ,  15.52102529 ,  3.43242558393 ]
#    time = []
#    occ= []
#    ha = []
#    for time10 in range(160,241,5):
#        time01 = time10 / 10.0
#        for i in range(len(time1)):
#            if time1[i] == time01:
#                time.append(time1[i])
#                occ.append(occ1[i])
#                ha.append(ha1[i])
#                break
#    print 'TPO-PT', np.mean(occ)
#    print 'TPO-SPT', np.mean(ha)
##    i=0
##    s = []
##    for i in range(len(occ)):
##        print time[i]
##        if ha[i]-occ[i]:
##            t = (ha[i]-occ[i])/ha[i]
##        else:
##            t = (ha[i]-occ[i])/occ[i]
##        print t
##        s.append(t)
##    print 'mean t', np.mean(s)
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    errorDis1.set_xlabel('time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,ha,'*r--',label='TPO-SPT', linewidth=2.5, markersize=25,markerfacecolor='r',markeredgecolor='r')
#    errorDis1.plot(time,occ,'sk-',label='TPO-PT', linewidth = 2.5, markersize=20,markerfacecolor='k',markeredgecolor='k')    
#    
#    errorDis1.legend(bbox_to_anchor=(0.37, 1), loc=0, borderaxespad=0.,prop={'size':40}) 
#    plt.show()  
elif graph == 26:#May vs June for July
    time1 =[ 15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1, 18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9, 21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8,   23.9 ,  24.0]
    traf1 = [ 2.66061144883 ,  1.99805109687 ,  1.19505013529 ,  1.889250346 ,  1.39292556291 ,  1.51453893215 ,  2.78728097123 ,  1.80862785601 ,  2.33550462373 ,  2.18499059864 ,  1.75367281777 ,  1.045375756 ,  1.98149485924 ,  1.87135433346 ,  1.62507744752 ,  1.89731724564 ,  2.05467360628 ,  1.75044695512 ,  2.84819613654 ,  2.87639018654 ,  2.24893774892 ,  1.34277240354 ,  2.18219856809 ,  3.5323089324 ,  1.83377119694 ,  1.53291173216 ,  1.6644965285 ,  0.989357474255 ,  1.23985056409 ,  1.30073443669 ,  1.68088823374 ,  2.45664181894 ,  2.33047585982 ,  1.57446978292 ,  2.07036963195 ,  2.87312481853 ,  2.2873490848 ,  7.77671252499 ,  5.09898621009 ,  2.33167338743 ,  2.52558691822 ,  3.36823994869 ,  2.7143301734 ,  2.1667222719 ,  3.24920070848 ,  2.43708934422 ,  2.82231254222 ,  1.68084555425 ,  2.18474438173 ,  5.13967167847 ,  3.30347222445 ,  5.81172032324 ,  3.05900630454 ,  6.506739254 ,  2.40445337434 ,  2.26599263486 ,  2.89637107122 ,  2.30793083989 ,  0.732806924045 ,  0.604381369616 ,  8.590407054 ,  4.32575747881 ,  1.9139987444 ,  2.94714406403 ,  0.783684012338 ,  2.25925034037 ,  4.04742152297 ,  3.6204428073 ,  7.08077516712 ,  1.93547939814 ,  5.94159810864 ,  4.62208465747 ,  5.55935890218 ,  6.99255730061 ,  4.98341409941 ,  7.49848667855 ,  3.97971717422 ,  3.49645283558 ,  2.47275618805 ,  3.33028382907 ,  3.24779109169 ,  2.0798503699 ,  4.00362114092 ,  2.42625144139 ,  1.42120559831 ,  1.71377786686 ,  2.45911287204 ,  5.98252381957 ,  2.51050360787 ,  2.49122699117 ,  2.45050623571 ]
    occ1 = [ 2.66661269796 ,  1.90683779535 ,  1.23854570472 ,  1.77137250754 ,  1.65760989147 ,  1.71765637791 ,  3.49400579649 ,  4.68642306718 ,  3.22229804958 ,  2.74161092269 ,  2.95786763083 ,  1.97896233022 ,  2.69436889701 ,  5.15248510105 ,  1.57832476871 ,  2.08233966173 ,  2.65716937883 ,  4.75291511757 ,  5.71219692379 ,  4.88292653723 ,  0.984945803846 ,  4.48391342946 ,  19.5875504177 ,  2.97643524287 ,  6.07175063536 ,  1.70122785065 ,  4.43351340651 ,  3.16693090099 ,  3.6131815969 ,  10.3983637855 ,  2.03626843493 ,  3.29752337546 ,  1.46902538516 ,  1.43239449223 ,  2.34863145692 ,  6.92157623825 ,  17.6237641622 ,  10.7963022902 ,  1.87905121871 ,  1.512309622 ,  5.15053894958 ,  1.93035711368 ,  2.3299948998 ,  1.58626323321 ,  3.78247696677 ,  4.99122620345 ,  35.6817103985 ,  14.2228781259 ,  22.8963146967 ,  7.42962798216 ,  7.17820225834 ,  2.67442225343 ,  3.4188728207 ,  2.57387520363 ,  3.041897515 ,  2.14366449273 ,  3.30460118738 ,  2.66323181487 ,  0.781115409274 ,  0.642538953881 ,  2.58930186733 ,  9.46023182409 ,  1.6873822056 ,  4.82264202473 ,  1.48734825063 ,  2.39371877566 ,  3.63254703507 ,  2.09506205308 ,  4.97935280548 ,  1.15698367274 ,  2.94608910205 ,  4.74450676763 ,  4.17320997404 ,  6.22536186734 ,  5.7877056776 ,  5.94611727702 ,  2.55474410757 ,  2.86232937581 ,  3.39705635591 ,  2.05444385277 ,  3.13155784678 ,  2.14588910268 ,  3.66039560529 ,  2.08138463502 ,  1.24281357547 ,  1.53647745248 ,  2.59733053763 ,  6.01079186977 ,  5.50659908619 ,  2.77478675555 ,  2.51702993603 ]
    print 'MEAN - May: ',np.mean(occ)
    print 'MEAN - June:', np.mean(traf)
    
    traf = []
    time = []
    occ = []
    for time10 in range(160,241,10):
        time01 = time10 / 10.0
        for i in range(len(time1)):
            if time1[i] == time01:
                time.append(time1[i])
                traf.append(traf1[i])
                occ.append(occ1[i])
                break    
    
    cntT = 0
    cntO = 0
    for i in range(len(traf)):
        if traf[i] < occ[i]:
            cntT += 1
        else:
            cntO += 1
    print "June win: ", cntT
    print "May win: ", cntO
    
    xlim(16, 24)
    ylim(0,10)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    errorDis1.set_xlabel('Time (hour)',size=50)
    errorDis1.set_ylabel('MSE',size=50)
    errorDis1.plot(time,traf,'sk-',label='June', linewidth=2.5, markersize=30,markerfacecolor='k',markeredgecolor='k')
    errorDis1.plot(time,occ,'*r--',label='May', linewidth = 2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')    
    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':40}) 
    plt.show()
elif graph == 27:#May vs June vs July for August
    time =[ 15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1, 18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9, 21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8,   23.9 ,  24.0]
    July1 = [ 3.34016987043 ,  2.11315860427 ,  3.18601772454 ,  2.27078098197 ,  1.9420457237 ,  1.78898985201 ,  3.73454058499 ,  1.68480930255 ,  3.0386681039 ,  2.85571865734 ,  3.67601949705 ,  3.79573983327 ,  2.14938619725 ,  3.30385990796 ,  2.52350280827 ,  2.78920221392 ,  2.33322730245 ,  1.98399477751 ,  1.60538259827 ,  1.6598521442 ,  1.32650828772 ,  1.77548607706 ,  1.99973719458 ,  2.6260890102 ,  0.836643695985 ,  3.07519345155 ,  1.07249957761 ,  2.00305118752 ,  2.5596876696 ,  3.60327651365 ,  1.7923848476 ,  2.93387600578 ,  2.10630249637 ,  2.62657712208 ,  4.46121606175 ,  3.67395466752 ,  6.08488199517 ,  2.82596124205 ,  3.91241243228 ,  2.41879102395 ,  5.58772604829 ,  5.46544361042 ,  2.28721049498 ,  2.77276299549 ,  3.76564829102 ,  2.98083742388 ,  2.27925861381 ,  4.62218104164 ,  2.28501948578 ,  3.05490472895 ,  3.46676593792 ,  3.92566641941 ,  2.17956934145 ,  1.37175933222 ,  6.96433390259 ,  2.01892635736 ,  1.26722331867 ,  2.8570576534 ,  1.13259061279 ,  1.95600833705 ,  3.03595447335 ,  2.68137884379 ,  2.422802909 ,  1.68415431027 ,  6.4498319049 ,  3.96220874586 ,  4.69988034974 ,  4.07102932834 ,  10.7651747519 ,  1.81898918617 ,  4.65267675925 ,  6.19047595255 ,  9.03167793854 ,  6.76516119096 ,  9.09661653142 ,  5.77479201038 ,  5.02901085492 ,  7.21128650775 ,  9.02549607313 ,  4.47327569073 ,  6.31552038723 ,  3.84705878877 ,  4.93029548398 ,  7.19598955666 ,  2.89317645075 ,  2.24624292048 ,  19.8300025219 ,  16.3631961495 ,  5.65725732509 ,  7.03276276214 ,  7.74351929772 ]    
    June1 = [ 3.37949585586 ,  2.95396603996 ,  3.80666306019 ,  2.27027860573 ,  2.05946852047 ,  1.68635994924 ,  2.93602078398 ,  2.04628459232 ,  2.56358865252 ,  3.06115158209 ,  3.0150404185 ,  3.74200256561 ,  2.29488313583 ,  3.261965548 ,  1.79788746575 ,  2.85837598 ,  2.49906537607 ,  2.76581312374 ,  2.1609154322 ,  2.94461940216 ,  2.69863961679 ,  1.77524342367 ,  1.66702794063 ,  2.33644229714 ,  0.626138387038 ,  1.62231278811 ,  1.0231932292 ,  1.34495534428 ,  2.65171547998 ,  2.72175970518 ,  2.01755921028 ,  2.26014507489 ,  4.58736416712 ,  3.68624866731 ,  3.6315835037 ,  3.45479759428 ,  2.91409110106 ,  7.97336046141 ,  9.37178543399 ,  5.59917659177 ,  3.59934213231 ,  4.77146599708 ,  2.95256623532 ,  6.0722659185 ,  2.62584228231 ,  2.44443812546 ,  2.63254375517 ,  4.12014314306 ,  2.16756062733 ,  5.60153570283 ,  4.14065949937 ,  6.53463844191 ,  1.75005601993 ,  7.72490905507 ,  3.27562894656 ,  2.07279635082 ,  1.54712498365 ,  1.87571215623 ,  1.21849498322 ,  1.71980009989 ,  9.23862680046 ,  2.21308269612 ,  3.35796586699 ,  1.65730876977 ,  5.03641673444 ,  4.99923646108 ,  3.26556580118 ,  3.35589234442 ,  8.75494905394 ,  3.54895058477 ,  6.91910416448 ,  4.02888102618 ,  9.08007727418 ,  7.5131629557 ,  7.60483502503 ,  6.17438009928 ,  7.71327460579 ,  6.6973705788 ,  8.5770493702 ,  11.0840850168 ,  5.40783709259 ,  2.84179324628 ,  4.70329011089 ,  2.89905863355 ,  2.13651936612 ,  2.63997148225 ,  4.31958047066 ,  3.22791824855 ,  3.47538516497 ,  3.30091074217 ,  3.47456699995 ]
    May1 = [ 3.28566858147 ,  2.25470054041 ,  2.71373015335 ,  2.15237456496 ,  2.196311983 ,  1.70991557304 ,  2.96938915788 ,  5.41519212649 ,  2.42933964999 ,  4.26790914426 ,  4.69668769016 ,  5.22815511796 ,  4.75651864455 ,  7.27951179414 ,  1.83936252642 ,  2.92045248929 ,  3.27799965301 ,  5.89231086353 ,  7.41883633633 ,  5.29257760195 ,  1.29865347968 ,  7.08251471428 ,  16.9714386887 ,  3.68136567864 ,  4.6412439188 ,  3.88903306758 ,  3.54682791884 ,  3.73403607414 ,  6.9666255785 ,  20.3582630944 ,  3.19957891476 ,  3.80543310502 ,  1.93401424702 ,  3.17057766458 ,  3.96305911318 ,  6.51887629373 ,  20.4186073407 ,  11.4147131854 ,  3.85847773442 ,  3.11570712986 ,  3.50262623757 ,  2.22010631502 ,  2.31444421917 ,  2.59850885854 ,  2.68293911389 ,  6.75030937958 ,  43.7200549223 ,  21.8209065471 ,  29.7734428877 ,  10.3799544067 ,  9.0800434828 ,  4.84267494922 ,  2.87969582577 ,  1.73273692692 ,  3.36322225073 ,  1.95472294708 ,  2.32214555282 ,  1.50623440831 ,  1.09532940564 ,  1.76316748388 ,  2.68600217437 ,  8.51850047806 ,  3.06249792008 ,  3.8621030668 ,  10.2604727585 ,  5.18644468396 ,  1.89713897743 ,  3.90466259625 ,  5.35529750254 ,  1.55552123283 ,  2.9387445849 ,  3.87210768706 ,  6.7209386312 ,  7.24779869356 ,  6.87608364896 ,  5.11448242313 ,  4.95290896891 ,  6.55150709768 ,  5.4000674614 ,  4.36536378271 ,  4.45552987643 ,  3.45963586477 ,  4.39443102979 ,  3.25922301023 ,  1.95031262487 ,  2.22012292429 ,  4.23730662071 ,  8.2025886652 ,  10.6547490425 ,  3.34325981498 ,  3.56071448287 ]
    
    May = []
    time = []
    June = []
    July = []
    for time10 in range(180,221,1):
        time01 = time10 / 10.0
        for i in range(len(time1)):
            if time1[i] == time01:
                time.append(time1[i])
                May.append(May1[i])
                June.append(June1[i])
                July.append(July1[i])
                break    
    
    print 'MEAN - July: ',np.mean(July)
    print 'MEAN - June:', np.mean(June)
    print 'MEAN - May:', np.mean(May)
     
    cntT = 0
    cntO = 0
    for i in range(len(traf)):
        if traf[i] < occ[i]:
            cntT += 1
        else:
            cntO += 1
    print "June win: ", cntT
    print "May win: ", cntO
    
    xlim(18, 22)
    ylim(0,20)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    errorDis1.set_xlabel('Training Time(hour)',size=50)
    errorDis1.set_ylabel('MSE',size=50)
    errorDis1.plot(time,May,'*r--',label='May', linewidth = 2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')    
    errorDis1.plot(time,June,'.b-',label='June', linewidth = 2.5, markersize=60,markerfacecolor='b',markeredgecolor='b')    
    errorDis1.plot(time,July,'sk-',label='July', linewidth=2.5, markersize=30,markerfacecolor='k',markeredgecolor='k')
    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':40}) 
    plt.show()
#elif graph == 28:#TPO-PT / TP-P / TPO-PT'
#    time =[ 15.0 ,  15.5 ,  16.0 ,  16.5 ,  17.0 ,  17.5 ,  18.0 ,  18.5 ,  19.0 ,  19.5 ]
#    July = [ 4.36759200333 ,  6.22522569185 ,  4.73666267918 ,  5.24693144635 ,  1.34942144914 ,  4.01236048552 ,  3.16016929798 ,  8.53144861928 ,  7.28522921891 ,  3.24215314546 ]
#    June = [3.33126992611, 1.75842743987, 3.06963761795, 2.79890211351, 1.36971503061, 2.16110258543, 2.20187230613, 3.58804992604, 4.1007299461, 1.10267510654]
#    May = [5.648282572, 3.33011698012, 4.77314847668, 4.88982691265, 2.05704237866, 2.12097583292, 3.67988553676, 2.12780904865, 4.65880327762, 2.53083484208]
#    print "MEAN - TPO-PT': ",np.mean(July)
#    print 'MEAN - TPO-PT:', np.mean(June)
#    print 'MEAN - TP-P:', np.mean(May)
#    cntT = 0
#    cntO = 0
#    for i in range(len(traf)):
#        if traf[i] < occ[i]:
#            cntT += 1
#        else:
#            cntO += 1
#    print "TPO-PT win: ", cntT
#    print "TP-P win: ", cntO
#    
#    xlim(15, 20)
#    ylim(0,10)
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    errorDis1.set_xlabel('training time(hour)',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,May,'*r--',label='TP-P', linewidth = 2.5, markersize=25,markerfacecolor='r',markeredgecolor='r')    
#    errorDis1.plot(time,June,'^b-',label='TPO-PT', linewidth = 2.5, markersize=25,markerfacecolor='b',markeredgecolor='b')    
#    errorDis1.plot(time,July,'sk-',label="TPO-PT'", linewidth=2.5, markersize=20,markerfacecolor='k',markeredgecolor='k')
#    errorDis1.legend(bbox_to_anchor=(0.23, 1.1), prop={'size':40}) 
#    plt.show()

elif graph == 30: #cdf of TPO-T and TP-T
    import numpy as np
    from sklearn.metrics import mean_squared_error
    import matplotlib.pyplot as plt
    import statsmodels.api as sm # recommended import according to the docs
    
    pic = plt.subplot(1,1,1)
    plt.rcParams['xtick.labelsize'] = 40
    plt.rcParams['ytick.labelsize'] = 40
    plt.rcParams['axes.labelsize'] = 50
    
    time = 21
    if time == 19.0:
        #Real =  [69.0, 69.0, 58.0, 59.0, 56.0, 62.0, 59.0, 69.0, 56.0, 59.0, 59.0, 58.0, 58.0, 58.0, 69.0, 62.0, 58.0, 59.0, 59.0, 57.0, 57.0, 65.0, 59.0, 60.0, 59.0, 58.0, 59.0, 59.0, 61.0, 60.0, 69.0, 61.0, 57.0, 58.0, 58.0, 69.0, 56.0, 57.0, 59.0, 58.0, 60.0, 59.0, 64.0, 60.0, 58.0, 58.0, 59.0, 58.0, 60.0, 67.0, 61.0, 57.0, 59.0, 57.0, 59.0, 59.0, 62.0, 59.0, 59.0, 62.0, 59.0, 61.0, 67.0, 58.0, 59.0, 60.0, 59.0, 60.0, 56.0, 69.0, 56.0, 60.0, 62.0, 59.0, 60.0, 59.0, 66.0, 62.0, 62.0, 58.0, 62.0, 59.0, 58.0, 69.0, 62.0, 59.0, 60.0, 56.0, 58.0, 60.0]
        #Ha =  [59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5]
        Real =  [69.0, 69.0, 58.0, 59.0, 56.0, 62.0, 59.0, 69.0, 56.0, 59.0, 59.0, 58.0, 58.0, 58.0, 69.0, 62.0, 58.0, 59.0, 59.0, 57.0, 57.0, 65.0, 59.0, 60.0, 59.0, 58.0, 59.0, 59.0, 61.0, 60.0, 69.0, 61.0, 57.0, 58.0, 58.0, 69.0, 56.0, 57.0, 59.0, 58.0, 60.0, 59.0, 64.0, 60.0, 58.0, 58.0, 59.0, 58.0, 60.0, 67.0, 61.0, 57.0, 59.0, 57.0, 59.0, 59.0, 62.0, 59.0, 59.0, 62.0, 59.0, 61.0, 67.0, 58.0, 59.0, 60.0, 59.0, 60.0, 56.0, 69.0, 56.0, 60.0, 62.0, 59.0, 60.0, 59.0, 66.0, 62.0, 62.0, 58.0, 62.0, 59.0, 58.0, 69.0, 62.0, 59.0, 60.0, 56.0, 58.0, 60.0]
        Ha =  [59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5, 59.5]
    elif time == 17.0:
        #Real =  [66.0, 71.0, 59.0, 59.0, 57.0, 62.0, 56.0, 71.0, 59.0, 59.0, 59.0, 60.0, 60.0, 57.0, 68.0, 59.0, 59.0, 59.0, 59.0, 59.0, 62.0, 66.0, 57.0, 60.0, 58.0, 57.0, 56.0, 56.0, 70.0, 59.0, 66.0, 59.0, 59.0, 60.0, 56.0, 64.0, 59.0, 59.0, 61.0, 58.0, 59.0, 56.0, 67.0, 59.0, 59.0, 59.0, 59.0, 58.0, 62.0, 67.0, 59.0, 56.0, 59.0, 57.0, 59.0, 62.0, 65.0, 59.0, 59.0, 60.0, 59.0, 58.0, 67.0, 59.0, 59.0, 60.0, 56.0, 59.0, 56.0, 68.0, 59.0, 59.0, 59.0, 59.0, 60.0, 56.0, 67.0, 59.0, 60.0, 59.0, 59.0, 62.0, 56.0, 67.0, 58.0, 58.0, 59.0, 57.0, 58.0, 56.0]
        #Ha =  [59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308]
        Real =  [66.0, 71.0, 59.0, 59.0, 57.0, 62.0, 56.0, 71.0, 59.0, 59.0, 59.0, 60.0, 60.0, 57.0, 68.0, 59.0, 59.0, 59.0, 59.0, 59.0, 62.0, 66.0, 57.0, 60.0, 58.0, 57.0, 56.0, 56.0, 70.0, 59.0, 66.0, 59.0, 59.0, 60.0, 56.0, 64.0, 59.0, 59.0, 61.0, 58.0, 59.0, 56.0, 67.0, 59.0, 59.0, 59.0, 59.0, 58.0, 62.0, 67.0, 59.0, 56.0, 59.0, 57.0, 59.0, 62.0, 65.0, 59.0, 59.0, 60.0, 59.0, 58.0, 67.0, 59.0, 59.0, 60.0, 56.0, 59.0, 56.0, 68.0, 59.0, 59.0, 59.0, 59.0, 60.0, 56.0, 67.0, 59.0, 60.0, 59.0, 59.0, 62.0, 56.0, 67.0, 58.0, 58.0, 59.0, 57.0, 58.0, 56.0]
        Ha =  [59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308, 59.57692307692308]
    elif time == 18.0:
        Real =  [58.0, 56.0, 64.0, 60.0, 59.0, 59.0, 58.0, 59.0, 60.0, 64.0, 58.0, 62.0, 58.0, 59.0, 59.0, 61.0, 62.0, 60.0, 56.0, 57.0, 59.0, 57.0, 59.0, 66.0, 59.0, 56.0, 59.0, 59.0, 56.0, 58.0]
        Ha =  [59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336, 59.333333333333336]
    elif time == 20.0:
        Real =  [62.0, 56.0, 63.0, 59.0, 62.0, 58.0, 59.0, 60.0, 59.0, 64.0, 60.0, 61.0, 58.0, 56.0, 60.0, 59.0, 65.0, 59.0, 58.0, 62.0, 60.0, 59.0, 56.0, 64.0, 60.0, 59.0, 56.0, 62.0, 56.0, 59.0]
        Ha =  [60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0]
    elif time == 21.0:
        #Real =  [67.0, 67.0, 63.0, 63.0, 63.0, 63.0, 73.0, 67.0, 66.0, 63.0, 66.0, 63.0, 64.0, 73.0, 67.0, 63.0, 64.0, 63.0, 63.0, 63.0, 73.0, 67.0, 65.0, 63.0, 64.0, 60.0, 63.0, 72.0, 67.0, 60.0, 67.0, 63.0, 64.0, 63.0, 73.0, 67.0, 63.0, 63.0, 63.0, 67.0, 63.0, 69.0, 67.0, 63.0, 67.0, 65.0, 65.0, 63.0, 70.0, 67.0, 63.0, 65.0, 63.0, 63.0, 64.0, 73.0, 71.0, 65.0, 63.0, 64.0, 67.0, 65.0, 67.0, 62.0, 62.0, 63.0, 63.0, 64.0, 67.0, 68.0, 63.0, 63.0, 67.0, 62.0, 63.0, 70.0, 67.0, 63.0, 67.0, 63.0, 63.0, 61.0, 71.0, 67.0, 63.0, 62.0, 63.0, 63.0, 64.0, 73.0]
        #Ha =  [64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307]
        Real =  [67.0, 67.0, 63.0, 63.0, 63.0, 63.0, 73.0, 67.0, 66.0, 63.0, 66.0, 63.0, 64.0, 73.0, 67.0, 63.0, 64.0, 63.0, 63.0, 63.0, 73.0, 67.0, 65.0, 63.0, 64.0, 60.0, 63.0, 72.0, 67.0, 60.0, 67.0, 63.0, 64.0, 63.0, 73.0, 67.0, 63.0, 63.0, 63.0, 67.0, 63.0, 69.0, 67.0, 63.0, 67.0, 65.0, 65.0, 63.0, 70.0, 67.0, 63.0, 65.0, 63.0, 63.0, 64.0, 73.0, 71.0, 65.0, 63.0, 64.0, 67.0, 65.0, 67.0, 62.0, 62.0, 63.0, 63.0, 64.0, 67.0, 68.0, 63.0, 63.0, 67.0, 62.0, 63.0, 70.0, 67.0, 63.0, 67.0, 63.0, 63.0, 61.0, 71.0, 67.0, 63.0, 62.0, 63.0, 63.0, 64.0, 73.0]
        Ha =  [64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307, 64.807692307692307]
    elif time == 22.0:
        Real =  [66.0, 69.0, 66.0, 65.0, 66.0, 70.0, 66.0, 63.0, 65.0, 68.0, 66.0, 68.0, 64.0, 65.0, 66.0, 66.0, 69.0, 65.0, 66.0, 66.0, 64.0, 70.0, 69.0, 70.0, 65.0, 66.0, 66.0, 65.0, 66.0, 69.0]
        Ha =  [66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003, 66.700000000000003]

    print mean_squared_error(Real, Ha)    
    mse = []
    for i in range(135):
        mse.append(0)        
    MSE = []    
    cnt = 0
    for i in range(len(Real)):
        temp = int(np.ceil((Ha[i] - Real[i])*(Ha[i] - Real[i])))
        print temp
        mse[temp] += 1
        cnt += 1
        MSE.append(temp)
    
    print mse
    ecdf = sm.distributions.ECDF(MSE)
    x = np.linspace(min(MSE), max(MSE))
    y = ecdf(x)
    #print x
    #print y
    
    X = []
    Y = []
    X.append(0.1)
    Y.append(0)
    for xx in x:
        X.append(xx)
    for yy in y:
        Y.append(yy)
    X.append(x[-1])
    Y.append(y[-1])
    #print X
    #print Y
    #ylim(min(Y),max(Y)+0.01)
    #xlim(min(X)-0.1,max(X))
    xlim(min(X)-0.1,30)
    plt.step(X, Y,'.r-',label='TP-T', linewidth = 3.5,markersize=20)
    #plt.show()
    b = max(X)
    #leng = len(Y)
    #print leng
    pic.legend(bbox_to_anchor=(0.47, 1), loc=0, borderaxespad=0.,prop={'size':45}) 
    
    if time == 19.0:
        #Real =  [59.0, 58.0, 59.0, 60.0, 59.0, 60.0, 56.0, 60.0, 62.0, 59.0, 60.0, 62.0, 62.0, 58.0, 62.0, 59.0, 62.0, 59.0, 60.0, 56.0, 58.0]
        #Occlwr =  [59.228085002760288, 59.094069442683448, 59.38853420959591, 59.97813944490975, 58.260686351578194, 58.300288958066879, 58.19193951035934, 58.20970569260222, 57.893899005531807, 58.170879420292657, 57.945424917571017, 57.673863709660623, 57.861536830764528, 58.001963891056668, 57.783551871005372, 58.065421153569027, 57.78562450192117, 57.550921828002018, 58.082562904649023, 58.151306938099061, 57.739278250990509]
        Real =  [58.0, 59.0, 56.0, 62.0, 56.0, 59.0, 59.0, 58.0, 58.0, 62.0, 58.0, 59.0, 59.0, 57.0, 59.0, 60.0, 59.0, 58.0, 59.0, 60.0, 61.0, 57.0, 58.0, 56.0, 57.0, 59.0, 58.0, 60.0, 60.0, 58.0, 58.0, 59.0, 58.0, 61.0, 57.0, 59.0, 57.0, 59.0, 59.0, 59.0, 62.0, 59.0, 58.0, 59.0, 60.0, 59.0, 60.0, 56.0, 60.0, 62.0, 59.0, 60.0, 62.0, 62.0, 58.0, 62.0, 59.0, 62.0, 59.0, 60.0, 56.0, 58.0]
        Occlwr =  [59.227780543275564, 59.924176897156606, 59.578110078635696, 59.275252774175691, 58.769510213305523, 60.094983125658992, 59.377486126409792, 60.589310315966046, 59.72580392210029, 59.344985471311411, 59.242752557028702, 59.47443851033286, 59.344819922526852, 59.652188948111657, 59.586918202659341, 59.454114085230671, 61.549791163698849, 60.170568033161537, 60.209623894738883, 60.451774380170313, 60.404841611291936, 60.141581294664135, 60.002591200360783, 60.320517910637463, 60.191625601002542, 60.663202822305621, 60.473084418456537, 59.870895330849265, 60.293808254426054, 60.61975555229548, 60.524777806006469, 59.98705985359171, 60.3623134095889, 60.29442962464698, 60.704622565759195, 60.0492517043375, 60.146507176011674, 60.358203576157244, 61.03703612746552, 60.408509227406448, 60.240906581236828, 60.536970877071568, 60.323846270429918, 59.644046591435917, 59.488250710770139, 60.124113585153623, 60.326370979050147, 60.048207358097677, 60.748532133526965, 60.703440933755665, 60.643284238124117, 60.716149516909603, 60.36957240181286, 60.552775838814092, 60.378302385877362, 60.954280096443945, 60.333932297784969, 60.584974166142722, 60.522772410579634, 60.674969985095686, 60.247854018859094, 60.40836327859801]
    elif time == 17.0:
        #Real =  [59.0, 59.0, 59.0, 60.0, 56.0, 59.0, 59.0, 59.0, 59.0, 59.0, 60.0, 59.0, 60.0, 59.0, 59.0, 62.0, 58.0, 58.0, 59.0, 57.0, 58.0]
        #Occlwr =  [58.857216955487154, 58.857097391956202, 58.857092900762709, 58.857148285401273, 58.857271938715215, 58.857009630910305, 58.857328701522938, 58.857208820699242, 58.857076397208509, 58.857311090749775, 58.85723159789579, 58.857567834018489, 58.857425964079084, 58.857285475707634, 58.857516494997228, 58.857482137116484, 58.857526844117473, 58.857433327552037, 58.857319473188369, 58.857307600931456, 58.857373663813377]    
        Real =  [59.0, 59.0, 57.0, 62.0, 59.0, 59.0, 59.0, 60.0, 60.0, 59.0, 59.0, 59.0, 59.0, 59.0, 57.0, 60.0, 58.0, 57.0, 56.0, 59.0, 59.0, 59.0, 60.0, 59.0, 59.0, 61.0, 58.0, 59.0, 59.0, 59.0, 59.0, 59.0, 58.0, 59.0, 56.0, 59.0, 57.0, 59.0, 59.0, 59.0, 60.0, 59.0, 59.0, 59.0, 60.0, 56.0, 59.0, 59.0, 59.0, 59.0, 59.0, 60.0, 59.0, 60.0, 59.0, 59.0, 62.0, 58.0, 58.0, 59.0, 57.0, 58.0]
        Occlwr =  [58.894235764500088, 58.69212190383373, 58.668196243734293, 58.623137385207102, 58.516331298441855, 58.63644283957197, 58.872094748272623, 59.112462193565001, 57.898429309341594, 58.687397990655192, 58.560024129594325, 58.676518463125404, 58.572502252946997, 58.589483537555282, 58.590060132899808, 58.633747435191047, 58.335636060791828, 58.765608234740533, 58.972515998209779, 59.080033410964603, 58.845635020182485, 58.955891700040588, 58.771038859950693, 58.774545470560689, 58.797578911016856, 58.87145130774573, 58.766910784625793, 58.749870227070872, 58.949224278408209, 59.039976199931552, 58.655481006964266, 58.8532961293364, 59.376247083160003, 58.832883733819209, 58.64110600066315, 58.948804627296305, 58.875368967973635, 58.735866801350014, 58.890416501647842, 58.878715884155312, 58.897017317845155, 58.731282473711978, 58.894800119681385, 59.048606140456123, 58.76040763945322, 58.854259444267157, 58.906691461087156, 59.105244360675044, 59.145442309247663, 58.851574919337608, 59.008736349072421, 58.935858581499133, 58.890058076161765, 58.796429921498131, 59.053300308254798, 59.240033637472415, 59.040137846728769, 58.741725108034139, 58.999724089951918, 58.850429584818173, 58.893626915358709, 58.931424067518293]
    elif time == 20.0:
        Real =  [62.0, 59.0, 62.0, 58.0, 59.0, 60.0, 60.0, 61.0, 58.0, 56.0, 60.0, 59.0, 58.0, 62.0, 60.0, 59.0, 60.0, 59.0, 56.0, 62.0, 56.0]
        Occlwr =  [59.429282575434939, 59.382571494913584, 59.330274832261587, 59.28235656329035, 59.017454812409078, 59.127509579600265, 59.008075984387332, 58.943565191212862, 58.802070410325555, 58.95216471492688, 59.00535840552871, 58.669444873041215, 58.845181397003884, 58.717786909985186, 58.796368017256583, 59.1035962541036, 58.951571723183669, 58.93716939139675, 58.950377435733458, 58.845205052341264, 58.852435278093516]
    elif time == 18.0:
        Real =  [58.0, 60.0, 59.0, 59.0, 58.0, 59.0, 58.0, 62.0, 58.0, 59.0, 59.0, 60.0, 56.0, 57.0, 59.0, 57.0, 59.0, 56.0, 59.0, 59.0, 56.0]
        Occlwr =  [57.974903990235276, 59.313686949756338, 59.042842517656794, 59.030825848988719, 57.895499847288448, 58.468600324564846, 58.667218396378424, 58.699564675518737, 57.886131370242389, 58.98029950379771, 58.403788063094709, 57.440817964341498, 58.147095013987837, 57.434060496315404, 58.71920443881622, 58.401837892532043, 58.562934404883372, 58.328064094081007, 58.35028761102074, 58.184386179235815, 58.252856747597839]        
    elif time == 21.0:
        #Real =  [67.0, 62.0, 62.0, 63.0, 63.0, 64.0, 63.0, 63.0, 67.0, 62.0, 63.0, 63.0, 67.0, 63.0, 63.0, 61.0, 63.0, 62.0, 63.0, 63.0, 64.0]
        #Occlwr =  [64.036451631789618, 64.009926977242003, 64.014921289345452, 63.97658355339432, 63.998058992942354, 63.874142845261908, 64.026921282202579, 63.94747406702475, 64.018169099547634, 64.034789456935272, 64.064583992810086, 64.028526851809232, 64.023166906673978, 64.11046642200246, 64.039860323248703, 64.020151767239497, 64.080874508225435, 64.009579519725492, 64.035839358094947, 64.070946753162019, 64.089342573556863]
        Real =  [63.0, 63.0, 63.0, 63.0, 66.0, 63.0, 66.0, 63.0, 64.0, 63.0, 64.0, 63.0, 63.0, 63.0, 65.0, 63.0, 64.0, 60.0, 63.0, 60.0, 63.0, 64.0, 63.0, 63.0, 63.0, 63.0, 67.0, 63.0, 63.0, 67.0, 65.0, 65.0, 63.0, 63.0, 65.0, 63.0, 63.0, 64.0, 65.0, 63.0, 64.0, 67.0, 62.0, 62.0, 63.0, 63.0, 64.0, 63.0, 63.0, 67.0, 62.0, 63.0, 63.0, 67.0, 63.0, 63.0, 61.0, 63.0, 62.0, 63.0, 63.0, 64.0]
        Occlwr =  [63.182843714167312, 63.291564115774499, 63.02119315741475, 63.444070059258237, 63.409491934898973, 62.938978575296161, 63.054632132962958, 63.498773677017766, 63.761442546591397, 64.563061990259499, 65.178303884040147, 64.28185568006883, 64.687081699565226, 65.763712675929852, 63.904056979367965, 63.953502586049751, 63.304897366442106, 63.511784255387596, 63.398813483859733, 63.751524432206843, 63.297854545494047, 63.359926798777344, 63.22945570242198, 63.319826598103461, 63.085413799446229, 62.961574710166261, 62.937746129824326, 62.901206123522542, 63.366845252569483, 62.945002121839686, 62.641166567348549, 63.170139082123171, 62.875248507159327, 63.051116644658286, 62.811336718002551, 63.051158196482021, 62.564585421431353, 63.130661418612519, 62.73152952789782, 62.793937732934928, 63.12439406964652, 63.508483831112549, 63.653337940364032, 63.129189453738682, 62.692150874795551, 62.872051489115066, 62.423759089902234, 62.863221030346516, 63.102560119922281, 62.985142567984788, 62.519538960189813, 62.872274057821031, 62.745435587960891, 62.903478456835245, 62.765115909925612, 62.74101868885387, 62.793249516280852, 62.771755790699217, 62.609327935107139, 63.079398757255994, 63.157695524578678, 63.266705622562732]
    elif time == 22.0:
        Real =  [66.0, 65.0, 66.0, 70.0, 66.0, 63.0, 66.0, 68.0, 64.0, 65.0, 66.0, 65.0, 66.0, 66.0, 64.0, 70.0, 65.0, 66.0, 66.0, 65.0, 66.0]
        Occlwr =  [67.744419179802222, 66.290201457531211, 67.082632005715027, 64.759155036595814, 64.526196619043816, 65.782943852570043, 65.684911932533552, 65.094627786467271, 63.889034043192886, 64.535707675397944, 64.911476687761834, 64.029079184927923, 64.673697914079909, 64.125917781049949, 63.902024524594708, 64.442017163590506, 64.300437780333766, 65.204559660828693, 65.067125561960111, 65.22547733822752, 63.69088489022775]

    print mean_squared_error(Real, Occlwr)
    
    mse = []
    for i in range(40):
        mse.append(0)
    MSE = [] 
    cnt = 0
    for i in range(len(Real)):
        temp = int(np.ceil((Occlwr[i] - Real[i])*(Occlwr[i] - Real[i])))
        print temp
        mse[temp] += 1
        cnt += 1
        MSE.append(temp)
    #print mse
    ecdf = sm.distributions.ECDF(MSE)
    x = np.linspace(min(MSE), max(MSE))
    y = ecdf(x)
    #print x
    #print y
    
    
    X = []
    Y = []
    X.append(0.1)
    Y.append(0)
    for xx in x:
        X.append(xx)
    for yy in y:
        Y.append(yy)
    X.append(x[-1])
    Y.append(y[-1])
    
    #print X
    #print len(Y)
    ylim(min(Y),max(Y)+0.01)
    
    ax=plt.gca()  
    ax.set_xticks(np.linspace(0,30,11))  
    ax.set_xticklabels( ('0', '3', '6',  '9', '12', '15', '18', '21','24','27','30'))  
    ax.set_yticks(np.linspace(0,1,9))  
    ax.set_yticklabels( ('0.00', '0.125', '0.25', '0.375', '0.50','0.625','0.75','0.875','1.0')) 
    pic.set_xlabel('Squared Error',size=45)
    pic.set_ylabel('Percentile',size=45)
    plt.step(X, Y, 'k-',label='TPO-T', linewidth=3.5)
    pic.legend(bbox_to_anchor=(0.95, 0.3), loc=0, borderaxespad=0.,prop={'size':45}) 
    
    a = np.linspace(max(X),b)
    c=[]
    for aa in range(len(a)):
        c.append(1)
    a = np.linspace(max(X),b)
    c=[]
    for aa in range(len(a)):
        c.append(1)
    pic.plot(a,c,'k-',linewidth=3.5)       
    plt.grid(True, linewidth = 3)
    plt.show()
elif graph == 32.01:#O versus T - TPO-T TP-T
#TPO-T v.s. TP-T: MSE as a function of time, 20:00-22:00.
#    time1 = [ 6.0 ,  6.1 ,  6.2 ,  6.3 ,  6.4 ,  6.5 ,  6.6 ,  6.7 ,  6.8 ,  6.9 ,  7.0 ,  7.1 ,  7.2 ,  7.3 ,  7.4 ,  7.5 ,  7.6 ,  7.7 ,  7.8 ,  7.9 ,  8.0 ,  8.1 ,  8.2 ,  8.3 ,  8.4 ,  8.5 ,  8.6 ,  8.7 ,  8.8 ,  8.9 ,  9.0 ,  9.1 ,  9.2 ,  9.3 ,  9.4 ,  9.5 ,  9.6 ,  9.7 ,  9.8 ,  9.9 ,  10.0 ,  10.1 ,  10.2 ,  10.3 ,  10.4 ,  10.5 ,  10.6 ,  10.7 ,  10.8 ,  10.9 ,  11.0 ,  11.1 ,  11.2 ,  11.3 ,  11.4 ,  11.5 ,  11.6 ,  11.7 ,  11.8 ,  11.9 ,  12.0 ,  12.1 ,  12.2 ,  12.3 ,  12.4 ,  12.5 ,  12.6 ,  12.7 ,  12.8 ,  12.9 ,  13.0 ,  13.1 ,  13.2 ,  13.3 ,  13.4 ,  13.5 ,  13.6 ,  13.7 ,  13.8 ,  13.9 ,  14.0 ,  14.1 ,  14.2 ,  14.3 ,  14.4 ,  14.5 ,  14.6 ,  14.7 ,  14.8 ,  14.9 ,  15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ]
#    oftt1 = [ 2.24145459457 ,  1.73143800808 ,  0.799179426583 ,  2.01173649785 ,  1.81718487406 ,  1.15549025585 ,  2.81841446511 ,  1.31058908497 ,  1.10303421876 ,  0.645413892646 ,  2.58626674665 ,  3.61801909886 ,  0.952661481413 ,  1.33722863725 ,  2.33427913521 ,  3.25891430085 ,  1.58177500317 ,  3.16742183238 ,  3.40244886268 ,  2.74782217877 ,  2.02421508291 ,  3.43543221065 ,  2.75801727099 ,  3.47512377666 ,  3.21835103328 ,  3.55187074828 ,  2.58031331124 ,  2.29762085226 ,  4.06586361021 ,  1.99885747247 ,  3.50018608759 ,  2.89382577221 ,  2.87643825366 ,  3.82574308484 ,  2.88754786537 ,  3.4611622107 ,  2.38718055664 ,  3.64932069411 ,  3.87850569272 ,  4.4113182732 ,  2.60367705107 ,  4.38603456884 ,  3.76237502142 ,  4.70449294799 ,  4.48489780315 ,  4.00217675235 ,  3.69113872225 ,  2.84381752466 ,  2.64490642981 ,  3.26550030106 ,  3.11284322531 ,  3.5278606601 ,  2.73389921687 ,  3.22909639958 ,  9.68749273327 ,  3.33794329991 ,  1.82267761822 ,  3.84960343354 ,  3.34947114286 ,  1.97525234047 ,  4.80490149444 ,  8.14703674908 ,  2.85123026634 ,  4.55860899603 ,  3.8336676661 ,  6.30110432527 ,  5.03219707113 ,  16.0849484556 ,  2.45380197659 ,  1.51388666902 ,  1.93585020619 ,  1.3686990979 ,  1.79589742566 ,  1.87033918163 ,  2.1347025076 ,  2.2107307156 ,  2.00306285687 ,  1.42081441613 ,  2.25800807735 ,  2.64485987569 ,  1.57499868863 ,  1.46970759794 ,  2.14947144609 ,  1.71494163207 ,  1.42890994211 ,  1.42921051412 ,  2.56822992844 ,  2.57491186436 ,  2.24887120575 ,  2.45006028512 ,  2.29030145929 ,  2.20357005345 ,  2.37107043373 ,  1.79574736231 ,  2.16022404774 ,  1.98744860352 ,  2.76517152188 ,  4.46927922498 ,  2.28449240154 ,  3.50934876462 ,  3.43002757824 ,  3.57237690717 ,  3.74711858238 ,  5.269319282 ,  1.91724186837 ,  2.37274846701 ,  2.74429162252 ,  4.33152677022 ,  5.19693037903 ,  4.14178144568 ,  1.3717559139 ,  5.10188377373 ,  15.3319173641 ,  2.72503824835 ,  4.43168328127 ,  2.77228298597 ,  4.00000047582 ,  2.78321470794 ,  4.4266595246 ,  12.3738675504 ,  2.2362768749 ,  3.53624063741 ,  2.17194051215 ,  1.80232955064 ,  3.11447942993 ,  5.58415288653 ,  14.1053921526 ,  8.57341416642 ,  3.15187293847 ,  2.76141329912 ,  4.07248264248 ,  1.99320484803 ,  2.91473616599 ,  2.20586857277 ,  2.94563619851 ,  5.42395269199 ,  29.078302079 ,  14.0218517407 ,  20.5513224061 ,  8.07341836515 ,  6.53713071169 ,  3.6100915748 ,  2.98813230058 ,  2.04783764553 ,  2.60001717019 ,  1.67795651189 ,  2.92481559366 ,  1.78590828584 ,  0.883847519117 ,  2.09792479628 ,  2.77275673653 ,  6.82743125648 ,  2.05469069428 ,  4.18963363872 ,  5.88560779047 ,  3.49943148138 ,  2.40634975286 ,  3.75794501409 ,  3.99229239053 ,  1.58456767841 ,  3.45776889589 ]
#    ftt1  = [ 3.31262327416 ,  1.84214332676 ,  1.11111111111 ,  2.03014464168 ,  1.93767258383 ,  1.65447074293 ,  9.03852728468 ,  1.27301117686 ,  1.26666666667 ,  9.82712031558 ,  10.434122288 ,  10.373339908 ,  9.46630506246 ,  4.1728139382 ,  5.41262327416 ,  4.27879684418 ,  6.29760026298 ,  9.66288625904 ,  11.6660420776 ,  11.8333333333 ,  10.6944444444 ,  10.0307034845 ,  3.57557527942 ,  11.5675871137 ,  10.4951347798 ,  12.6495069034 ,  8.61134122288 ,  7.35282708744 ,  15.2697238659 ,  11.763477975 ,  11.9313938199 ,  5.16702827087 ,  9.16988823143 ,  13.1682117028 ,  6.59408284024 ,  11.0944444444 ,  10.6555555556 ,  9.95519395135 ,  9.09247205786 ,  6.50575279421 ,  8.11604207758 ,  7.55410913872 ,  11.0204470743 ,  9.8771860618 ,  11.4343523997 ,  12.8762656147 ,  7.9865877712 ,  9.08829717291 ,  8.25016436555 ,  5.91666666667 ,  3.31130834977 ,  9.45788954635 ,  9.45358316897 ,  11.9777120316 ,  10.9437869822 ,  12.5656147272 ,  10.2722222222 ,  12.8760026298 ,  8.95239973702 ,  10.3648915187 ,  5.87370151216 ,  4.64280078895 ,  11.4609138725 ,  12.0109467456 ,  3.86985535832 ,  2.52258382643 ,  12.7899408284 ,  12.5566732413 ,  10.8793228139 ,  8.65 ,  3.78099934254 ,  10.8026298488 ,  7.08011176857 ,  13.9724194609 ,  8.85548980934 ,  10.6792899408 ,  1.92024983563 ,  8.36048652202 ,  10.8907626561 ,  12.25539119 ,  10.9333333333 ,  8.59119000657 ,  3.31245890861 ,  6.69470742932 ,  5.44224194609 ,  8.9033530572 ,  12.6318211703 ,  8.3892504931 ,  12.5443786982 ,  11.1166666667 ,  12.7669296515 ,  5.2476660092 ,  10.1997698882 ,  7.16147271532 ,  14.1570348455 ,  12.6276134122 ,  6.18612754767 ,  8.52889546351 ,  6.97771203156 ,  5.6845496384 ,  9.83563445102 ,  4.45420775805 ,  7.94322813938 ,  11.9659763314 ,  5.65262984878 ,  11.1993754109 ,  5.48007889546 ,  3.85 ,  7.94165023011 ,  5.82501643655 ,  13.3653188692 ,  12.3447074293 ,  8.30325443787 ,  9.31564760026 ,  1.98583168968 ,  5.0335634451 ,  3.27419460881 ,  5.45749506903 ,  9.69375410914 ,  10.5053583169 ,  5.52222222222 ,  8.88484549638 ,  4.34707429323 ,  7.59566074951 ,  11.1198224852 ,  3.9771860618 ,  14.2973701512 ,  5.28652202498 ,  9.70667324129 ,  9.508382643 ,  12.7611111111 ,  8.00660749507 ,  11.3608809993 ,  15.2407955293 ,  4.07712031558 ,  11.8497370151 ,  13.1331032216 ,  11.6076265615 ,  9.47376725838 ,  5.78333333333 ,  5.68783694938 ,  5.93011176857 ,  6.64806048652 ,  5.23185404339 ,  16.66617357 ,  9.43609467456 ,  2.10019723866 ,  2.68957922419 ,  4.42330703485 ,  9.30023011177 ,  10.2113412229 ,  7.99375410914 ,  8.58267587114 ,  10.5413872452 ,  5.42728468113 ,  6.30785667324 ,  8.36650230112 ,  7.07001972387 ,  8.60621301775 ,  4.16111111111 ,  5.93625904011 ]
#       
    time1 = [ 15.0 ,  15.1 ,  15.2 ,  15.3 ,  15.4 ,  15.5 ,  15.6 ,  15.7 ,  15.8 ,  15.9 ,  16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
    oftt1 = [ 3.34016987043 ,  2.11315860427 ,  3.18601772454 ,  2.27078098197 ,  1.9420457237 ,  1.78898985201 ,  3.73454058499 ,  1.68480930255 ,  3.0386681039 ,  2.85571865734 ,  3.67601949705 ,  3.79573983327 ,  2.14938619725 ,  3.30385990796 ,  2.52350280827 ,  2.78920221392 ,  2.33322730245 ,  1.98399477751 ,  1.60538259827 ,  1.6598521442 ,  1.32650828772 ,  1.77548607706 ,  1.99973719458 ,  2.6260890102 ,  0.836643695985 ,  3.07519345155 ,  1.07249957761 ,  2.00305118752 ,  2.5596876696 ,  3.60327651365 ,  1.7923848476 ,  2.93387600578 ,  2.10630249637 ,  2.62657712208 ,  4.46121606175 ,  3.67395466752 ,  6.08488199517 ,  2.82596124205 ,  3.91241243228 ,  2.41879102395 ,  5.58772604829 ,  5.46544361042 ,  2.28721049498 ,  2.77276299549 ,  3.76564829102 ,  2.98083742388 ,  2.27925861381 ,  4.62218104164 ,  2.28501948578 ,  3.05490472895 ,  3.46676593792 ,  3.92566641941 ,  2.17956934145 ,  1.37175933222 ,  6.96433390259 ,  2.01892635736 ,  1.26722331867 ,  2.8570576534 ,  1.13259061279 ,  1.95600833705 ,  3.03595447335 ,  2.68137884379 ,  2.422802909 ,  1.68415431027 ,  6.4498319049 ,  3.96220874586 ,  4.69988034974 ,  4.07102932834 ,  10.7651747519 ,  1.81898918617 ,  4.65267675925 ,  6.19047595255 ,  9.03167793854 ,  6.76516119096 ,  9.09661653142 ,  5.77479201038 ,  5.02901085492 ,  7.21128650775 ,  9.02549607313 ,  4.47327569073 ,  6.31552038723 ,  3.84705878877 ,  4.93029548398 ,  7.19598955666 ,  2.89317645075 ,  2.24624292048 ,  19.8300025219 ,  16.3631961495 ,  5.65725732509 ,  7.03276276214 ,  7.74351929772 ]
    ofpt1 = [ 3.33126992611 ,  2.15235043881 ,  4.21215375236 ,  2.04146402499 ,  2.26508236112 ,  1.75842743987 ,  3.83752010319 ,  1.79356812562 ,  2.71647871756 ,  2.98920028076 ,  3.06963761795 ,  3.78037524154 ,  2.11330949347 ,  3.62306600989 ,  2.10132375418 ,  2.79890211351 ,  2.45220911956 ,  2.0962944359 ,  1.71888897623 ,  2.00237892092 ,  2.00237892092 ,  1.75017286044 ,  1.87819485903 ,  2.77200592938 ,  0.927552735382 ,  2.16110258543 ,  0.952612535679 ,  1.55876494568 ,  2.43936505277 ,  2.74032154014 ,  2.20187230613 ,  2.62732676781, 1.81709347884 ,  2.68646819361 ,  4.87840695719 ,  3.58804992604 ,  1.96027598281 ,  2.16400733578 ,  4.55698744552 ,  2.61612107743 ,  4.1007299461 ,  2.60197595024 ,  2.42772928849 ,  3.70504358394 ,  2.64089183244 ,  2.53083484208 ,  2.69596558723 ,  3.82189848477 ,  2.10858933652 ,  2.69381421149 ,  4.48942308279 ,  3.48776778082 ,  1.75831208948 ,  1.48030854681 ,  3.2901866737 ,  2.33799936521 ,  1.50491990853 ,  1.23953538087 ,  1.19008302381 ,  2.36576100342, 2.57888534853 ,  2.052794471 ,  2.64644323686 ,  1.35534774334 ,  5.6573022579 ,  4.76819909982 ,  1.85043233584 ,  3.46190356262 ,  5.28356384041 ,  1.84882416982 ,  3.01211103176 ,  4.59728665448 ,  8.01181670627 ,  6.44190774176 ,  7.57429158629 ,  5.66900034971 ,  4.30244931982 ,  6.23339404063 ,  6.88638460847 ,  4.63713969717 ,  5.75838213042 ,  3.38303474858 ,  4.29114582128 ,  2.74825804228 ,  2.33363923855 ,  2.26640425042 ,  4.06245325649 ,  3.02492973852 ,  4.13263598916, 4.06968874886 ,  3.87911988994]
    ftt1 = [ 11.9777777778 ,  5.30444444444 ,  6.60555555556 ,  5.95777777778 ,  12.5111111111 ,  9.20444444444 ,  7.46666666667 ,  5.53777777778 ,  8.21333333333 ,  6.09333333333 ,  7.58333333333 ,  5.55333333333 ,  8.17 ,  12.5644444444 ,  5.17 ,  12.4677777778 ,  6.09444444444 ,  4.99666666667 ,  6.82777777778 ,  5.94777777778 ,  11.0944444444 ,  10.26 ,  5.23666666667 ,  7.97 ,  1.59666666667 ,  7.39333333333 ,  2.73333333333 ,  4.52222222222 ,  13.65 ,  9.81888888889 ,  5.72222222222 ,  4.58444444444 ,  4.84666666667 ,  6.91111111111 ,  9.93 ,  4.4 ,  13.1433333333 ,  5.34333333333 ,  9.29 ,  8.00111111111 ,  11.3344444444 ,  8.30888888889 ,  13.0066666667 ,  9.40888888889 ,  3.65 ,  9.62 ,  15.25 ,  9.95666666667 ,  6.53333333333 ,  4.36111111111 ,  6.1 ,  5.91666666667 ,  4.94666666667 ,  3.92 ,  13.6955555556 ,  9.13777777778 ,  1.22333333333 ,  2.35555555556 ,  4.62 ,  7.94333333333 ,  9.09333333333 ,  6.67333333333 ,  7.17555555556 ,  8.79777777778 ,  5.32111111111 ,  8.37 ,  9.10444444444 ,  4.39333333333 ,  7.40111111111 ,  3.44 ,  3.62333333333 ,  5.64111111111 ,  6.80555555556 ,  8.66333333333 ,  9.05111111111 ,  10.2 ,  5.94333333333 ,  6.72888888889 ,  6.26888888889 ,  4.31666666667 ,  9.28888888889 ,  9.24 ,  6.27111111111 ,  12.4866666667 ,  3.67666666667 ,  7.58777777778 ,  3.85 ,  4.34666666667 ,  6.28 ,  6.28 ,  6.28 ]
    time = []
    oftt= []
    ftt = []
    ofpt = []
    for time10 in range(200,221,1):
        time01 = time10 / 10.0
        for i in range(len(time1)):
            if time1[i] == time01:
                time.append(time1[i])
                oftt.append(oftt1[i])
                ftt.append(ftt1[i])
                ofpt.append(ofpt1[i])
                break
    print 'MEAN - oftt: ',np.mean(oftt)
    print 'MEAN - ftt:', np.mean(ftt)
    #print 'MEAN - ofpt: ', np.mean(ofpt)
        
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    xlim(20,22)
    #xlim(16,24)
    ylim(0,15)
    errorDis1.set_xlabel('Time',size=xlabelsize)
    errorDis1.set_ylabel('MSE',size=ylabelsize)
    errorDis1.plot(time,oftt,'pb-',label='TPO-T', linewidth=lwidth, markersize=psize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)
    #errorDis1.plot(time,ofpt,'*r--',label='TPO-P', linewidth = 2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')    
    errorDis1.plot(time,ftt,'^r--',label='TP-T', linewidth = lwidth, markersize=trisize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)    
    errorDis1.legend(bbox_to_anchor=(0.8, 1), prop={'size':legendsize}) 
    #errorDis1.legend(bbox_to_anchor=(0, 0.8), loc=0, borderaxespad=0.,prop={'size':40}) 
    plt.grid(True, linewidth = gridwidth)
    plt.show()


#elif graph == 33:#Lin Cheung - TPO-TT VS TPO-PT VS TP-T
#    time1 = [ 16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
#    occ1 = [ 5.49903483304 ,  4.08265701586 ,  10.025271142 ,  17.6552033394 ,  13.2237366115 ,  5.47613895792 ,  0.999758928022 ,  1.58711989743 ,  2.0055282384 ,  2.1762483477 ,  1.73805082226 ,  0.925511037505 ,  0.282112288671 ,  0.995161099272 ,  2.40809123039 ,  0.705628833421 ,  17.0599761833 ,  10.1265743368 ,  1.23352766927 ,  1.66678462689 ,  4.12599619707 ,  4.20207804778 ,  5.08359786969 ,  3.37620211195 ,  5.44981027191 ,  2.60980002033 ,  0.605548177339 ,  1.62003962564 ,  3.65787863662 ,  5.44122935535 ,  1.24536231033 ,  4.97688619599 ,  2.29404395639 ,  16.5215749878 ,  16.477812214 ,  1.19479874357 ,  1.94751724097 ,  1.51747847861 ,  1.51337594337 ,  1.44757955587 ,  9.07519900694 ,  19.3205133236 ,  20.694716424 ,  0.449683376685 ,  1.26411640809 ,  2.10787602288 ,  0.669587301723 ,  0.634732322848 ,  0.723407961919 ,  1.89994612636 ,  1.8721431028 ,  0.825934537096 ,  1.87151292795 ,  3.19554801719 ,  1.21571822811 ,  0.635516491212 ,  0.871681752366 ,  0.347386594626 ,  0.472373830237 ,  0.532537463031 ,  5.65389737685 ,  1.34112885695 ,  0.922471754123 ,  2.94232225242 ,  0.774735359774 ,  0.645233042387 ,  0.902233503422 ,  2.06389199982 ,  0.941009226952 ,  4.7263331494 ,  7.78727529189 ,  28.4892345328 ,  22.8343622882 ,  0.454738553954 ,  0.51763448394 ,  0.629275560727 ,  0.337179453659 ,  0.394342062886 ,  0.483797390261 ,  0.481537033558 ,  1.19820899855 ]
#    traf1 = [ 5.57239074764 ,  3.94463027271 ,  9.82187627072 ,  17.6637747418 ,  12.8078583137 ,  4.98896303131 ,  1.26044276869 ,  0.761849528199 ,  1.47718154615 ,  1.99213178602 ,  0.355741634508 ,  0.442311675517 ,  0.201809214452 ,  0.365020546082 ,  1.86369509938 ,  1.21801716357 ,  17.3881640899 ,  10.0320657159 ,  1.19726139889 ,  0.571420452441 ,  4.18142674465 ,  4.31058266454 ,  4.78018596297 ,  3.28576012223 ,  5.85050167165 ,  2.70739575173 ,  0.421337122472 ,  0.496463139899 ,  3.28355012424 ,  5.34929069964 ,  1.23804118318 ,  5.1420406618 ,  2.29927835034 ,  16.6873265139 ,  16.435394319 ,  0.376377976438 ,  2.72118541206 ,  1.47441761914 ,  1.34107164574 ,  1.61090260254 ,  8.87085478669 ,  17.7458935979 ,  27.6341018413 ,  2.14146348178 ,  1.13110076716 ,  4.08295899489 ,  0.65407135873 ,  3.97976284942 ,  3.14643530165 ,  1.98292621383 ,  4.61209657007 ,  0.748269981314 ,  1.58598371097 ,  0.77671194209 ,  0.285708092695 ,  0.437693416825 ,  0.925092915916 ,  0.31978273665 ,  0.403664081267 ,  0.532834639837 ,  0.4830288381 ,  0.918549790777 ,  0.761965852527 ,  0.754987466884 ,  0.439885758927 ,  0.675604906839 ,  0.835107677073 ,  1.18418686689 ,  0.84401725515 ,  4.88466318727 ,  7.63040683748 ,  29.0859820268 ,  22.6893571698 ,  0.442177546547 ,  0.523817661237 ,  0.650807723773 ,  0.340159154395 ,  0.304019809615 ,  0.426296869885 ,  0.42629119812 ,  0.426278103343 ]
#    ha1 = [ 5.89444444444 ,  3.18777777778 ,  7.46333333333 ,  12.2277777778 ,  10.2844444444 ,  5.73333333333 ,  2.99111111111 ,  2.57888888889 ,  1.78666666667 ,  2.32666666667 ,  1.96 ,  3.97 ,  2.43666666667 ,  1.53333333333 ,  1.89 ,  3.62222222222 ,  12.4722222222 ,  8.70666666667 ,  1.69333333333 ,  1.95555555556 ,  5.05 ,  6.12 ,  4.72222222222 ,  3.77 ,  4.95777777778 ,  2.05555555556 ,  0.568888888889 ,  1.67777777778 ,  3.78333333333 ,  5.91666666667 ,  4.59666666667 ,  4.94666666667 ,  3.41333333333 ,  12.1044444444 ,  13.5255555556 ,  1.02444444444 ,  2.25555555556 ,  2.05888888889 ,  2.31555555556 ,  4.59666666667 ,  11.9833333333 ,  19.9788888889 ,  25.1888888889 ,  10.6177777778 ,  19.3833333333 ,  15.0088888889 ,  15.6722222222 ,  13.2555555556 ,  16.0633333333 ,  17.7844444444 ,  20.9 ,  14.3088888889 ,  18.3566666667 ,  10.78 ,  4.71666666667 ,  0.507777777778 ,  0.907777777778 ,  0.5 ,  0.393333333333 ,  0.724444444444 ,  0.57 ,  0.822222222222 ,  0.903333333333 ,  0.822222222222 ,  0.57 ,  0.726666666667 ,  0.713333333333 ,  0.762222222222 ,  0.866666666667 ,  3.43666666667 ,  6.21888888889 ,  20.6988888889 ,  16.4911111111 ,  0.646666666667 ,  0.506666666667 ,  0.613333333333 ,  0.374444444444 ,  0.343333333333 ,  0.432222222222 ,  0.432222222222 ,  0.432222222222 ]
#    
#    time = []
#    traf= []
#    occ = []
#    ha = []
#    for time10 in range(160,240,10):
#        time01 = time10 / 10.0
#        
#        for i in range(len(time1)):
#            if time1[i] == time01:
#                if time1[i] == 21:
#                    print (traf1[i]-occ1[i])/traf1[i]
#                time.append(time1[i])
#                traf.append(traf1[i])
#                occ.append(occ1[i])
#                ha.append(ha1[i])
#                break
#        
#    time.append(time1[-1])
#    traf.append(traf1[-1])
#    occ.append(occ1[-1])
#    ha.append(ha[-1])
#    print 'MEAN - occ p: ',np.mean(occ)
#    print 'MEAN - occ t:', np.mean(traf)
#    print 'MEAN - traf t:', np.mean(ha)
#    
#    #xlim(20, 22)
#    #ylim(0,20)
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    errorDis1.set_xlabel('Time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,ha,'.b--',label='TP-T', linewidth=2.5, markersize=60,markerfacecolor='b',markeredgecolor='b')
#    errorDis1.plot(time,occ,'*r--',label='TPO-P', linewidth=2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')
#    errorDis1.plot(time,traf,'sk-',label='TPO-T', linewidth = 2.5, markersize=30,markerfacecolor='k',markeredgecolor='k')    
#    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':40}) 
#    plt.grid(True, linewidth = 3)
#    plt.show()
elif graph == 33.4:#TPO-T VS TPO-P
#the Mean Percentage of Difference as a function of time.
    time1 = [ 16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
    diff = []
    occ16 = [58.920621425008449, 58.291577091475219, 59.32294102666107, 58.518773321619868, 58.87247933148354, 58.836231372682484, 59.179407677396966, 58.899737397766756, 58.920695547726083, 58.597767224241245, 59.04375628032745, 58.75574316360138, 59.622693078707535, 58.652352255611049, 58.909935842210096, 58.828047158709246, 59.094413053126431, 59.38699857527974, 58.998641045169713, 58.198583478889596, 59.538340558365007]
    traf16 = [58.02425600324846, 58.01960023452137, 58.597760158612267, 58.667269678785175, 59.229996889627166, 59.165108488464107, 59.510397999640958, 59.459613524606958, 59.476945771247259, 59.913658904321871, 59.53489783230247, 60.898997220058128, 60.041461612433118, 60.728810513125921, 60.384488653862768, 60.572777542565461, 60.226148387610209, 59.921958992455892, 59.716303946259075, 59.903868606187068, 60.035935098737106]
    t = np.mean(np.abs(np.array(occ16)-np.array(traf16))/np.array(occ16))
    diff.append(t)
    occ17 = [58.819110907218089, 58.754440850740252, 58.707566598243211, 58.691671314068877, 58.758768758296462, 58.693374206687253, 58.79395041937714, 58.825970794828692, 58.799346076728348, 58.705427701363377, 58.665535340936685, 58.866990631146201, 58.773317862360578, 58.799104491440758, 58.842071482687309, 58.777559913611604, 58.804107070134286, 58.889079660011667, 58.738712233540099, 58.77692611422853, 58.744114787827947]
    traf17 = [58.857216955487154, 58.857097391956202, 58.857092900762709, 58.857148285401273, 58.857271938715215, 58.857009630910305, 58.857328701522938, 58.857208820699242, 58.857076397208509, 58.857311090749775, 58.85723159789579, 58.857567834018489, 58.857425964079084, 58.857285475707634, 58.857516494997228, 58.857482137116484, 58.857526844117473, 58.857433327552037, 58.857319473188369, 58.857307600931456, 58.857373663813377]
    t = np.mean(np.abs(np.array(occ17)-np.array(traf17))/np.array(occ17))
    diff.append(t)
    occ18 = [58.447769637707772, 58.366154904081149, 58.730416828547575, 59.024014142002422, 58.22982464557392, 58.640574644085966, 58.764229639154081, 58.719729935365841, 58.670967537145501, 58.864195872538637, 58.806820474500697, 58.592547678126081, 58.938344633399268, 58.527407224811228, 58.63196901393249, 59.011548917637107, 58.606296098351109, 58.582475829969361, 58.671356274513172, 58.454252929307778, 58.627615925678036]
    traf18 = [57.974903990235276, 59.313686949756338, 59.042842517656794, 59.030825848988719, 57.895499847288448, 58.468600324564846, 58.667218396378424, 58.699564675518737, 57.886131370242389, 58.98029950379771, 58.403788063094709, 57.440817964341498, 58.147095013987837, 57.434060496315404, 58.71920443881622, 58.401837892532043, 58.562934404883372, 58.328064094081007, 58.35028761102074, 58.184386179235815, 58.252856747597839]
    t = np.mean(np.abs(np.array(occ18)-np.array(traf18))/np.array(occ18))
    diff.append(t)
    occ19 = [58.555037814836311, 58.936393832203365, 58.589226966559629, 58.155545770382076, 58.205453236714149, 58.448309518584907, 58.25920046722954, 59.497570305311072, 58.440651250943446, 58.762359530958292, 58.99015307298825, 58.438368231684436, 58.512435664946288, 58.419270420991495, 58.496861544770965, 58.177733088116561, 58.476850541288108, 58.228870517925472, 58.424488254722625, 58.387422167887898, 58.409390453609454]
    traf19 = [59.228085002760288, 59.094069442683448, 59.38853420959591, 59.97813944490975, 58.260686351578194, 58.300288958066879, 58.19193951035934, 58.20970569260222, 57.893899005531807, 58.170879420292657, 57.945424917571017, 57.673863709660623, 57.861536830764528, 58.001963891056668, 57.783551871005372, 58.065421153569027, 57.78562450192117, 57.550921828002018, 58.082562904649023, 58.151306938099061, 57.739278250990509]
    t = np.mean(np.abs(np.array(occ19)-np.array(traf19))/np.array(occ19))
    diff.append(t)
    occ20 = [59.294513999253304, 58.931649923731186, 59.530798058866878, 58.648758165487834, 59.570298718257916, 59.063033574754179, 58.900275122566747, 59.602183385946823, 59.46573645982707, 59.658626071221853, 59.793530881061216, 60.245556545510354, 59.492015063326981, 59.044903637092091, 59.796526927502718, 58.613187952693359, 59.627741116562298, 58.473638844341963, 59.954545371782764, 58.117813390860881, 60.082419453326885]
    traf20 = [59.429282575434939, 59.382571494913584, 59.330274832261587, 59.28235656329035, 59.017454812409078, 59.127509579600265, 59.008075984387332, 58.943565191212862, 58.802070410325555, 58.95216471492688, 59.00535840552871, 58.669444873041215, 58.845181397003884, 58.717786909985186, 58.796368017256583, 59.1035962541036, 58.951571723183669, 58.93716939139675, 58.950377435733458, 58.845205052341264, 58.852435278093516]
    t = np.mean(np.abs(np.array(occ20)-np.array(traf20))/np.array(occ20))
    diff.append(t)
    occ21 = [63.134976389584118, 63.405328773536496, 63.022932289179764, 63.593816507071921, 63.417241302998001, 63.257910052549406, 63.243446343930202, 63.246259625203187, 63.654006493057437, 63.946756160407944, 63.318866368035124, 63.423860203386802, 63.809153147762842, 63.225209091880565, 63.267845375124267, 63.511181376241602, 63.368189494434674, 63.432380588569039, 63.942082646980836, 63.046744689149229, 63.786257085620562]
    traf21 = [64.036451631789618, 64.009926977242003, 64.014921289345452, 63.97658355339432, 63.998058992942354, 63.874142845261908, 64.026921282202579, 63.94747406702475, 64.018169099547634, 64.034789456935272, 64.064583992810086, 64.028526851809232, 64.023166906673978, 64.11046642200246, 64.039860323248703, 64.020151767239497, 64.080874508225435, 64.009579519725492, 64.035839358094947, 64.070946753162019, 64.089342573556863]
    t = np.mean(np.abs(np.array(occ21)-np.array(traf21))/np.array(occ21))
    diff.append(t)
    occ22 = [66.068646487838649, 65.231697872899204, 65.579095187064297, 65.907918320189907, 64.980206231479869, 65.976068175288148, 65.913910513310185, 65.968362816357427, 66.385849920371854, 66.023987873361406, 66.097527474567997, 65.828888852474435, 66.489018871206639, 66.066683243151715, 65.895392456622233, 65.676364698229733, 66.154104847306158, 66.381244066382976, 65.869619618572713, 65.882249675567593, 66.041606632709986]
    traf22 = [67.744419179802222, 66.290201457531211, 67.082632005715027, 64.759155036595814, 64.526196619043816, 65.782943852570043, 65.684911932533552, 65.094627786467271, 63.889034043192886, 64.535707675397944, 64.911476687761834, 64.029079184927923, 64.673697914079909, 64.125917781049949, 63.902024524594708, 64.442017163590506, 64.300437780333766, 65.204559660828693, 65.067125561960111, 65.22547733822752, 63.69088489022775]
    t = np.mean(np.abs(np.array(occ22)-np.array(traf22))/np.array(occ22))
    diff.append(t)
    occ23 = [64.022879028135804, 64.375388034386049, 63.707001483897244, 62.77123683985247, 63.787611710591229, 64.4704324650492, 64.23936125342783, 63.058109924787793, 64.051982392766519, 64.317631335296397, 64.34418131726467, 64.216581560061769, 63.748760565300216, 63.996745758346435, 64.178553199765858, 63.130916827614321, 64.732960506817307, 64.127522448991186, 63.884141000750184, 64.302017512624076, 63.760853152356937]
    traf23 = [64.348551960471056, 64.892807261225585, 64.558699790169001, 66.602126339369065, 66.050416719474413, 65.83961943889048, 65.951458217704641, 66.754082278226193, 66.349351452010623, 65.78780821503284, 65.950348682026828, 66.104184610943634, 66.841207257042456, 66.975119518869647, 66.642962009930059, 66.665549054887208, 66.242097646935989, 65.834767907377838, 65.459705349872692, 66.609761334298256, 66.336729859111685]
    t = np.mean(np.abs(np.array(occ23)-np.array(traf23))/np.array(occ23))
    diff.append(t)
    occ24 = [68.592816236898898, 67.677222857555719, 67.439861415265099, 66.194612601903529, 68.08032183380071, 66.798157762575116, 67.365659235857947, 66.057978759493494, 68.206968502343145, 67.726013188486789, 67.084519455620253, 68.286305110851927, 67.308746343310716, 67.730977529700141, 67.453420632556259, 67.875837918953451, 67.407384432811227, 66.635613757908857, 67.612584413021906, 67.736453761170765, 67.053853576326887]
    traf24 = [68.053253739111483, 66.723170827688392, 66.986436216240961, 70.371690621742587, 69.591811241936725, 68.630188417956361, 68.996940007996557, 69.465195416297902, 69.705929949780909, 69.651586626408388, 69.442491044882061, 70.257725914898174, 70.567677595266488, 70.673712605152971, 69.738912354219408, 70.069263000844302, 69.545309329169896, 69.424420469501044, 68.603485359875464, 69.386705722777279, 69.500510303099901]
    t = np.mean(np.abs(np.array(occ24)-np.array(traf24))/np.array(occ24))
    diff.append(t)
    diff = np.dot(diff,100)
    print diff
    print np.mean(diff)
      
    time = []
    for time10 in range(160,241,10):
        time01 = time10 / 10.0    
        for i in range(len(time1)):
            if time1[i] == time01:
                time.append(time1[i])
                break
    #xlim(20, 22)
    ylim(-0,10)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    errorDis1.set_xlabel('Time',size=50)
    errorDis1.set_ylabel('Mean Percentage (%)',size=50)
    #errorDis1.plot(time,occ,'*r--',label='TPO-P', linewidth=2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')    
    print len(time),len(diff)
    errorDis1.plot(time,diff,'sk-',label='TPO-T - TPO-P| / TPO-P', linewidth = 2.5, markersize=30,markerfacecolor='k',markeredgecolor='k')    
    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':40}) 
    plt.grid(True, linewidth = 3)
    plt.show()
#elif graph == 34:#Lin Cheung - TPO-TT VS TP-T, 1 months training, 1 months testing
#    time1 = [ 16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
#    occ1 = [ 5.57239074764 ,  3.94463027271 ,  9.82187627072 ,  17.6637747418 ,  12.8078583137 ,  4.98896303131 ,  1.26044276869 ,  0.761849528199 ,  1.47718154615 ,  1.99213178602 ,  0.355741634508 ,  0.442311675517 ,  0.201809214452 ,  0.365020546082 ,  1.86369509938 ,  1.21801716357 ,  17.3881640899 ,  10.0320657159 ,  1.19726139889 ,  0.571420452441 ,  4.18142674465 ,  4.31058266454 ,  4.78018596297 ,  3.28576012223 ,  5.85050167165 ,  2.70739575173 ,  0.421337122472 ,  0.496463139899 ,  3.28355012424 ,  5.34929069964 ,  1.23804118318 ,  5.1420406618 ,  2.29927835034 ,  16.6873265139 ,  16.435394319 ,  0.376377976438 ,  2.72118541206 ,  1.47441761914 ,  1.34107164574 ,  1.61090260254 ,  8.87085478669 ,  17.7458935979 ,  27.6341018413 ,  2.14146348178 ,  1.13110076716 ,  4.08295899489 ,  0.65407135873 ,  3.97976284942 ,  3.14643530165 ,  1.98292621383 ,  4.61209657007 ,  0.748269981314 ,  1.58598371097 ,  0.77671194209 ,  0.285708092695 ,  0.437693416825 ,  0.925092915916 ,  0.31978273665 ,  0.403664081267 ,  0.532834639837 ,  0.4830288381 ,  0.918549790777 ,  0.761965852527 ,  0.754987466884 ,  0.439885758927 ,  0.675604906839 ,  0.835107677073 ,  1.18418686689 ,  0.84401725515 ,  4.88466318727 ,  7.63040683748 ,  29.0859820268 ,  22.6893571698 ,  0.442177546547 ,  0.523817661237 ,  0.650807723773 ,  0.340159154395 ,  0.304019809615 ,  0.426296869885 ,  0.42629119812 ,  0.426278103343 ]
#    traf1 = [ 5.89444444444 ,  3.18777777778 ,  7.46333333333 ,  12.2277777778 ,  10.2844444444 ,  5.73333333333 ,  2.99111111111 ,  2.57888888889 ,  1.78666666667 ,  2.32666666667 ,  1.96 ,  3.97 ,  2.43666666667 ,  1.53333333333 ,  1.89 ,  3.62222222222 ,  12.4722222222 ,  8.70666666667 ,  1.69333333333 ,  1.95555555556 ,  5.05 ,  6.12 ,  4.72222222222 ,  3.77 ,  4.95777777778 ,  2.05555555556 ,  0.568888888889 ,  1.67777777778 ,  3.78333333333 ,  5.91666666667 ,  4.59666666667 ,  4.94666666667 ,  3.41333333333 ,  12.1044444444 ,  13.5255555556 ,  1.02444444444 ,  2.25555555556 ,  2.05888888889 ,  2.31555555556 ,  4.59666666667 ,  11.9833333333 ,  19.9788888889 ,  25.1888888889 ,  10.6177777778 ,  19.3833333333 ,  15.0088888889 ,  15.6722222222 ,  13.2555555556 ,  16.0633333333 ,  17.7844444444 ,  20.9 ,  14.3088888889 ,  18.3566666667 ,  10.78 ,  4.71666666667 ,  0.507777777778 ,  0.907777777778 ,  0.5 ,  0.393333333333 ,  0.724444444444 ,  0.57 ,  0.822222222222 ,  0.903333333333 ,  0.822222222222 ,  0.57 ,  0.726666666667 ,  0.713333333333 ,  0.762222222222 ,  0.866666666667 ,  3.43666666667 ,  6.21888888889 ,  20.6988888889 ,  16.4911111111 ,  0.646666666667 ,  0.506666666667 ,  0.613333333333 ,  0.374444444444 ,  0.343333333333 ,  0.432222222222 ,  0.432222222222 ,  0.432222222222 ]
#    time = []
#    traf= []
#    occ = []
#    for time10 in range(160,240,10):
#        time01 = time10 / 10.0
#        
#        for i in range(len(time1)):
#            if time1[i] == time01:
#                if time1[i] == 21:
#                    print (traf1[i]-occ1[i])/traf1[i]
#                time.append(time1[i])
#                traf.append(traf1[i])
#                occ.append(occ1[i])
#                break
#        
#    time.append(time1[-1])
#    traf.append(traf1[-1])
#    occ.append(occ1[-1])
#    print 'MEAN -occ: ',np.mean(occ)
#    print 'MEAN - traf:', np.mean(traf)
#    
#    #xlim(20, 22)
#    #ylim(0,20)
#    fig = plt.figure(1)
#    errorDis1 = plt.subplot(1,1,1)
#    ax=plt.gca()
#    for tick in ax.xaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    for tick in ax.yaxis.get_major_ticks():
#        tick.label1.set_fontsize(40)
#    errorDis1.set_xlabel('Time',size=50)
#    errorDis1.set_ylabel('MSE',size=50)
#    errorDis1.plot(time,occ,'sk-',label='TPO-TT', linewidth=2.5, markersize=30,markerfacecolor='k',markeredgecolor='k')
#    errorDis1.plot(time,traf,'*r--',label='TP-T', linewidth = 2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')    
#    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':40}) 
#    plt.show()
elif graph == 35.3:#Lin Cheung - TPO-T VS TP-P
#TPO-T v.s. TP-P: MSE as a function of time.
    time1 = [ 16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
    traf1 = [ 5.67034912902 ,  3.4439361993 ,  7.41826198014 ,  12.2542358573 ,  9.28203790162 ,  5.86881015359 ,  2.74121015261 ,  2.43203836572 ,  1.56769559353 ,  2.29906347435 ,  2.19519642645 ,  3.76270787453 ,  2.60791922839 ,  1.93977440675 ,  2.22490763293 ,  2.1285169511 ,  12.0268924432 ,  8.75495020281 ,  1.51164982502 ,  1.7262822417 ,  3.69702882167 ,  5.17441326713 ,  3.91906176782 ,  3.24130229581 ,  4.36181903615 ,  2.06036518521 ,  0.863133464832 ,  1.88208246395 ,  3.79041757886 ,  6.08279658256 ,  4.64154595031 ,  5.09382003718 ,  3.59051814473 ,  11.7662128781 ,  13.3825697739 ,  1.04480363183 ,  1.75460440286 ,  1.92492904929 ,  2.35518835321 ,  4.39700066378 ,  10.5874467744 ,  19.0551710251 ,  22.02362077 ,  10.7710691987 ,  25.3702078592 ,  13.8407086908 ,  11.7838011769 ,  9.45152399524 ,  7.67663240032 ,  3.53185195857 ,  6.26581398446 ,  10.2999464928 ,  27.4767195669 ,  1.20030632239 ,  1.06412381931 ,  0.75215874301 ,  0.797127220553 ,  0.418335430494 ,  0.387485269692 ,  0.746547344465 ,  2.30934764997 ,  1.13401107389 ,  1.18226625051 ,  2.4639587413 ,  1.03275962596 ,  1.04058915034 ,  1.02561195806 ,  0.717555965534 ,  0.752406516688 ,  3.35712889926 ,  6.13955660405 ,  20.7402572695 ,  16.4197585943 ,  0.647778847426 ,  0.500274852399 ,  0.612234609617 ,  0.396466438523 ,  0.328438554444 ,  0.458621687999 ,  0.457650006252 ,  0.781134210783 ]
    occ1 = [ 5.57239074764 ,  3.94463027271 ,  9.82187627072 ,  17.6637747418 ,  12.8078583137 ,  4.98896303131 ,  1.26044276869 ,  0.761849528199 ,  1.47718154615 ,  1.99213178602 ,  0.355741634508 ,  0.442311675517 ,  0.201809214452 ,  0.365020546082 ,  1.86369509938 ,  1.21801716357 ,  17.3881640899 ,  10.0320657159 ,  1.19726139889 ,  0.571420452441 ,  4.18142674465 ,  4.31058266454 ,  4.78018596297 ,  3.28576012223 ,  5.85050167165 ,  2.70739575173 ,  0.421337122472 ,  0.496463139899 ,  3.28355012424 ,  5.34929069964 ,  1.23804118318 ,  5.1420406618 ,  2.29927835034 ,  16.6873265139 ,  16.435394319 ,  0.376377976438 ,  2.72118541206 ,  1.47441761914 ,  1.34107164574 ,  1.61090260254 ,  8.87085478669 ,  17.7458935979 ,  27.6341018413 ,  2.14146348178 ,  1.13110076716 ,  4.08295899489 ,  0.65407135873 ,  3.97976284942 ,  3.14643530165 ,  1.98292621383 ,  4.61209657007 ,  0.748269981314 ,  1.58598371097 ,  0.77671194209 ,  0.285708092695 ,  0.437693416825 ,  0.925092915916 ,  0.31978273665 ,  0.403664081267 ,  0.532834639837 ,  0.4830288381 ,  0.918549790777 ,  0.761965852527 ,  0.754987466884 ,  0.439885758927 ,  0.675604906839 ,  0.835107677073 ,  1.18418686689 ,  0.84401725515 ,  4.88466318727 ,  7.63040683748 ,  29.0859820268 ,  22.6893571698 ,  0.442177546547 ,  0.523817661237 ,  0.650807723773 ,  0.340159154395 ,  0.304019809615 ,  0.426296869885 ,  0.42629119812 ,  0.426278103343 ]
    ha1 = [ 5.89444444444 ,  3.18777777778 ,  7.46333333333 ,  12.2277777778 ,  10.2844444444 ,  5.73333333333 ,  2.99111111111 ,  2.57888888889 ,  1.78666666667 ,  2.32666666667 ,  1.96 ,  3.97 ,  2.43666666667 ,  1.53333333333 ,  1.89 ,  3.62222222222 ,  12.4722222222 ,  8.70666666667 ,  1.69333333333 ,  1.95555555556 ,  5.05 ,  6.12 ,  4.72222222222 ,  3.77 ,  4.95777777778 ,  2.05555555556 ,  0.568888888889 ,  1.67777777778 ,  3.78333333333 ,  5.91666666667 ,  4.59666666667 ,  4.94666666667 ,  3.41333333333 ,  12.1044444444 ,  13.5255555556 ,  1.02444444444 ,  2.25555555556 ,  2.05888888889 ,  2.31555555556 ,  4.59666666667 ,  11.9833333333 ,  19.9788888889 ,  25.1888888889 ,  10.6177777778 ,  19.3833333333 ,  15.0088888889 ,  15.6722222222 ,  13.2555555556 ,  16.0633333333 ,  17.7844444444 ,  20.9 ,  14.3088888889 ,  18.3566666667 ,  10.78 ,  4.71666666667 ,  0.507777777778 ,  0.907777777778 ,  0.5 ,  0.393333333333 ,  0.724444444444 ,  0.57 ,  0.822222222222 ,  0.903333333333 ,  0.822222222222 ,  0.57 ,  0.726666666667 ,  0.713333333333 ,  0.762222222222 ,  0.866666666667 ,  3.43666666667 ,  6.21888888889 ,  20.6988888889 ,  16.4911111111 ,  0.646666666667 ,  0.506666666667 ,  0.613333333333 ,  0.374444444444 ,  0.343333333333 ,  0.432222222222 ,  0.432222222222 ,  0.432222222222 ]
    
    time = []
    traf= []
    occ = []
    ha = []
    for time10 in range(160,240,10):
        time01 = time10 / 10.0
        
        for i in range(len(time1)):
            if time1[i] == time01:
                if time1[i] == 21:
                    print (traf1[i]-occ1[i])/traf1[i]
                time.append(time1[i])
                traf.append(traf1[i])
                occ.append(occ1[i])
                ha.append(ha1[i])
                break
        
    time.append(time1[-1])
    traf.append(traf1[-1])
    occ.append(occ1[-1])
    ha.append(ha[-1])
    print 'MEAN - occ p: ',np.mean(occ)
    print 'MEAN - occ t:', np.mean(traf)
    #print 'MEAN - traf t:', np.mean(ha)
    
    #xlim(20, 22)
    ylim(0,12)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(xfontsize)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(yfontsize)
    errorDis1.set_xlabel('Time',size=xlabelsize)
    errorDis1.set_ylabel('MSE',size=ylabelsize)
    #errorDis1.plot(time,ha,'.b--',label='TP-T', linewidth=2.5, markersize=60,markerfacecolor='b',markeredgecolor='b')
    errorDis1.plot(time,traf,'*r--',label='TP-P', linewidth=lwidth, markersize=starsize,markerfacecolor='none',markeredgecolor='r',markeredgewidth=mewidth)
    errorDis1.plot(time,occ,'pb-',label='TPO-T', linewidth = lwidth, markersize=psize,markerfacecolor='none',markeredgecolor='b',markeredgewidth=mewidth)    
    errorDis1.legend(bbox_to_anchor=(1, 1), prop={'size':legendsize}) 
    plt.grid(True, linewidth = lwidth)
    plt.show()
elif graph == 36:#TP-P div TPO-PT
    time = []   
    time =  [16, 17, 18, 19, 20, 21, 22, 23, 24]
    #4%
    ratio =  [-10.021894761553879, 4.1383518770547303, 0.11800512629424069, 2.9651857004952622, -1.0518001505805834, 21.777293128470177, 0.79839207219487629, 0.1960708737265733, 0.062518662284256354]
    zero = [0,0,0,0,0,0,0,0,0]
    #print len(ha)
    print 'mean ratio', np.mean(ratio)
    #print 'Real', np.mean(ha)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    ylim(-11,25)
    errorDis1.set_xlabel('Time',size=50)
    errorDis1.set_ylabel('Mean Ratio of MSE',size=50)
    #errorDis1.plot(time,ha,'*r--',label='Real', linewidth=2.5, markersize=6,markerfacecolor='r',markeredgecolor='r')
    errorDis1.plot(time,ratio,'sk-',label='TP-P / TPO-P', linewidth = 2.5, markersize=30,markerfacecolor='k',markeredgecolor='k')    
    errorDis1.plot(time,zero,'r--', linewidth = 2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')    
    
    errorDis1.legend(bbox_to_anchor=(0.5, 1), loc=0, borderaxespad=0.,prop={'size':40}) 
    plt.show()
elif graph == 37:#48hour TPO-PT VS TP-T
    time1 = [ 16.0 ,  16.1 ,  16.2 ,  16.3 ,  16.4 ,  16.5 ,  16.6 ,  16.7 ,  16.8 ,  16.9 ,  17.0 ,  17.1 ,  17.2 ,  17.3 ,  17.4 ,  17.5 ,  17.6 ,  17.7 ,  17.8 ,  17.9 ,  18.0 ,  18.1 ,  18.2 ,  18.3 ,  18.4 ,  18.5 ,  18.6 ,  18.7 ,  18.8 ,  18.9 ,  19.0 ,  19.1 ,  19.2 ,  19.3 ,  19.4 ,  19.5 ,  19.6 ,  19.7 ,  19.8 ,  19.9 ,  20.0 ,  20.1 ,  20.2 ,  20.3 ,  20.4 ,  20.5 ,  20.6 ,  20.7 ,  20.8 ,  20.9 ,  21.0 ,  21.1 ,  21.2 ,  21.3 ,  21.4 ,  21.5 ,  21.6 ,  21.7 ,  21.8 ,  21.9 ,  22.0 ,  22.1 ,  22.2 ,  22.3 ,  22.4 ,  22.5 ,  22.6 ,  22.7 ,  22.8 ,  22.9 ,  23.0 ,  23.1 ,  23.2 ,  23.3 ,  23.4 ,  23.5 ,  23.6 ,  23.7 ,  23.8 ,  23.9 ,  24.0 ]
    occ1 = [0.72780764727918612, 2.4295521007800382, 0.70234346540399994, 1.5486264946582398, 6.0782948643337997, 0.77434926310172003, 3.719228561677915, 2.8951147057969999, 0.96883608269807397, 5.5201297904137991, 0.71076229265208002, 1.4562770801029419, 0.84815015397507998, 0.85910023422352, 0.24740998175358797, 3.2142055581427997, 0.69147734056672006, 2.2394500980571999, 0.76603102995109573, 4.9520418537813171, 0.35132204978722203, 0.88765105692089996, 2.7740318243982864, 0.98516538477019999, 4.6178400357402394, 0.86588920014928006, 1.1488896588206192, 0.36775475404015806, 1.4138401150024762, 0.72543074907338001, 2.2058094467158997, 1.4399810307964001, 0.54872465710308893, 3.4354518281233397, 3.3895444974739442, 1.8161727844377999, 3.1935171562568399, 3.4901521267436202, 3.4059027723811801, 4.9678982633159201, 2.6181845639446784, 1.2039198204134001, 0.6863694194194, 1.4666582330069999, 6.0459171245027994, 1.9164696335396401, 2.9688575130161658, 3.9846676812353805, 0.64867544231354002, 2.3449271907520002, 5.6746411164578001, 3.9416981961145225, 3.6014173753566445, 7.1032653598091402, 3.8815308465678, 2.225184118204, 6.5251878801517194, 1.9086011683364998, 4.9388811933778261, 1.7392007155273201, 3.374247126934776, 8.7425309983386406, 4.6822780866958, 5.2627875701080002, 4.8849803609853009, 4.0490141709755996, 1.1814561186882, 6.4831952080468609, 6.9383215592628176, 1.4583135193540999, 3.4548060753535403, 4.0792900629364599, 4.9721026522263596, 1.5992867901165879, 2.7548883273223801, 0.95688659932263997, 2.7917691010901997, 7.3108532841832004, 3.2878203286152123, 3.2122278466173002, 2.8080033137076525]
    traf1 = [0.61535283220987202, 1.7847186481294919, 1.44968359381182, 1.8056290111211399, 5.3709052159879009, 1.1436525612628399, 4.2211614361442003, 2.6885327466035998, 1.1887537893917599, 6.8639953505503399, 2.39348572346, 3.0279546032917999, 0.31010507600657999, 1.1810336341970999, 0.62283357114993998, 3.9584450447817998, 0.83558153031402793, 1.6425427335377201, 1.4252912967137998, 6.4468285393834011, 0.55887822990960001, 0.9831046066393283, 2.8170388014452241, 1.1097274293167096, 5.3798287665132003, 0.28355137302514, 3.9590833630425797, 0.51983960653502004, 3.0912595879229103, 1.57544995785848, 1.9331612889222001, 1.7034181539529805, 0.7607500769590001, 5.6863725150229616, 3.0132172926278002, 2.2350284140227918, 2.6605313847548198, 3.2676198846527997, 3.0023581682031519, 5.3517830960434418, 2.5312568993596996, 0.30571578453274001, 0.78511374072934825, 1.43918404620532, 7.2178322638818333, 2.1120183197596001, 2.94877567885294, 4.3433114907764807, 1.7781518182152438, 4.5772780531147799, 4.8542536372446001, 9.0223091407689591, 2.5546494363813999, 10.640743180714001, 3.9064563221294, 3.7732072546529793, 7.9969015805262798, 2.8175719966082, 4.9551065904418197, 0.90383635694895437, 5.2039550559338004, 5.9390267215114001, 3.3506787608040001, 4.6933690950609002, 4.4100597103839458, 4.7471922763557997, 1.1943962105932002, 2.1493054316050402, 6.6487012589879813, 1.2622156764218599, 6.7214295562008006, 6.5220170792840007, 4.1264045154000204, 8.1829305394761995, 2.5190561369628801, 1.5955913698844157, 1.4595247111620202, 7.6986985805166004, 5.5854302543521994, 5.9945111450464008, 4.51534271015906]
    time = []
    traf= []
    occ = []
    for time10 in range(200,220,1):
        time01 = time10 / 10.0
        for i in range(len(time1)):
            if time1[i] == time01:
                time.append(time1[i])
                traf.append(traf1[i])
                occ.append(occ1[i])
                break
        
    time.append(time1[-1])
    traf.append(traf1[-1])
    occ.append(occ1[-1])
    print 'MEAN - occ: ',np.mean(occ)
    print 'MEAN - traf:', np.mean(traf)
    
    xlim(16, 24)
    xlim(20, 22)
    #ylim(0,20)
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    errorDis1.set_xlabel('Time',size=50)
    errorDis1.set_ylabel('MSE',size=50)
    errorDis1.plot(time,occ,'sk-',label='TPO-P', linewidth=2.5, markersize=30,markerfacecolor='k',markeredgecolor='k')
    errorDis1.plot(time,traf,'*r--',label='TP-T', linewidth = 2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')    
    errorDis1.legend(bbox_to_anchor=(0.3, 1), prop={'size':40}) 
    plt.show()
elif graph == 38:#percentage vs mse  
#TPO-T: MSE as a function of forecasting percentage 
    per =  [52.38095238095238, 57.14285714285714, 66.66666666666666, 71.42857142857143, 80.95238095238095, 85.71428571428571,  90.47619047619048, 90.47619047619048, 95.23809523809523, 100]
    mse = [14.432190765548022, 10.59450013363959, 6.3412289417423962, 6.9643339025877538, 3.9622087458591357, 4.4781589470401437,  3.0448721519651856, 2.9122297591063191, 2.1049377964670275, 0.88895257467516176]

    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    errorDis1.set_xlabel('Forecasting Percentage (%)',size=50)
    errorDis1.set_ylabel('Mean MSE',size=50)
    errorDis1.plot(per,mse,'sk-',label='TPO-T', linewidth = 2.5, markersize=30,markerfacecolor='k',markeredgecolor='k')    
    ylim(-1,15.2)
    xlim(49,103)
    errorDis1.legend(bbox_to_anchor=(0.5, 1), loc=0, borderaxespad=0.,prop={'size':40}) 
    plt.grid(True, linewidth = 3)

elif graph == 40:#TPO-T training 4 weeks (also have 2 weeks, 6 weeks data) - decaying  
# 
    leng = [1, 2, 3, 4, 5, 6]
    #mse2 = [3.67713863081, 5.06974272889, 6.224175929, 6.02550862605,8.05669732638,8.58409540757]
    mse4 = [2.67441462179, 3.95126933408, 5.01872380244, 4.76410201339, 6.60237428115, 6.88553217152]#, None
    #mse6 = [4.12921535382, 3.94573492156, 5.65736878181, 5.73404829629, None, None]
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(40)  
    ax.set_xticks(np.linspace(1,6,6))  
    ax.set_xticklabels( ('1-2','3-4', '5-6',  '7-8', '9-10', '11-12')) #, '13-14'
    errorDis1.set_xlabel('Prediction Period (weeks)',size=50)
    errorDis1.set_ylabel('Mean MSE',size=50)
    #errorDis1.plot(leng,mse2,'sk-',label='TPO-T 2', linewidth = 2.5, markersize=30,markerfacecolor='k',markeredgecolor='k')   
    errorDis1.plot(leng,mse4,'*r-',label='TPO-T', linewidth = 2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')
    #errorDis1.plot(leng,mse6,'ob-',label='TPO-T 6', linewidth = 2.5, markersize=30,markerfacecolor='b',markeredgecolor='b')
    ylim(0,10)
    #xlim(1, 12)
    errorDis1.legend(bbox_to_anchor=(0.5, 1), loc=0, borderaxespad=0.,prop={'size':40}) 
    plt.grid(True, linewidth = 3)
elif graph == 41:#TPO-T training 2 weeks and retrain - decaying  
# 
    leng = [1, 2, 3, 4, 5, 6]
    mse2 = [3.67713863081, 5.06974272889, 6.224175929, 6.02550862605,8.05669732638,8.58409540757]
    mse2r = [3.67713863081, 5.06974272889, 6.224175929, 6.02550862605,6.99805786152,7.72584682572]
    fig = plt.figure(1)
    errorDis1 = plt.subplot(1,1,1)
    ax=plt.gca()
    for tick in ax.xaxis.get_major_ticks():
        tick.label1.set_fontsize(40)
    for tick in ax.yaxis.get_major_ticks():
        tick.label1.set_fontsize(40)  
    ax.set_xticks(np.linspace(1,6,6))  
    ax.set_xticklabels( ('3-4', '5-6',  '7-8', '9-10', '11-12', '12-14')) 
    errorDis1.set_xlabel('Prediction Period (weeks)',size=50)
    errorDis1.set_ylabel('Mean MSE',size=50)
    errorDis1.plot(leng,mse2,'sk-',label='TPO-T 2', linewidth = 2.5, markersize=30,markerfacecolor='k',markeredgecolor='k')   
    errorDis1.plot(leng,mse2r,'*r-',label='TPO-T 2 retrain', linewidth = 2.5, markersize=40,markerfacecolor='r',markeredgecolor='r')
    #errorDis1.plot(leng,mse6,'ob-',label='TPO-T 6', linewidth = 2.5, markersize=30,markerfacecolor='b',markeredgecolor='b')
    ylim(0,10)
    #xlim(1, 12)
    errorDis1.legend(bbox_to_anchor=(0.5, 1), loc=0, borderaxespad=0.,prop={'size':40}) 
    plt.grid(True, linewidth = 3)