customization2.py

import matplotlib as m
m.use('TkAgg')
import matplotlib.pyplot as plt
#import quandl
from matplotlib import style
import numpy as np
import urllib
import matplotlib.dates as mdates
import datetime as dt

def bytespdate2num(fmt, encoding='utf-8'):
    strconverter = mdates.strpdate2num(fmt)
    def bytesconverter(b):
        s = b.decode(encoding)
        return strconverter(s)
    return bytesconverter

def graph_data(stock):

    fig = plt.figure()
    ax1 = plt.subplot2grid((1,1), (0,0))

    stock_price_url = 'http://chartapi.finance.yahoo.com/instrument/1.0/'+stock+'/chartdata;type=quote;range=10y/csv'

    source_code = urllib.urlopen(stock_price_url).read().decode()

    stock_data = []
    split_source = source_code.split('\n')

    for line in split_source:
        split_line = line.split(',')
        if len(split_line) == 6:
            if 'values' not in line:
                stock_data.append(line)

    date, closep, highp, lowp, openp, volume = np.loadtxt(stock_data,
                                                          delimiter=',',
                                                          unpack=True, converters={0: bytespdate2num('%Y%m%d')})



#    ax1.plot_date(date, closep, '-', label='Price')

    ax1.fill_between(date, 20, closep)

    for label in ax1.xaxis.get_ticklabels():
        label.set_rotation(45)

'''
Important changes:
'''
    ax1.xaxis.label.set_color('r')
    ax1.yaxis.label.set_color('r')
    ax1.set_yticks([0,25,50,75])


    plt.xlabel('Date')
    plt.ylabel('Price')
    plt.title('matplotlib')
    plt.legend()
    plt.subplots_adjust(left=0.09, bottom=0.20, right=0.94, top=0.90, wspace=0.2, hspace=0)
    plt.show()

graph_data('EBAY')