-
Notifications
You must be signed in to change notification settings - Fork 0
/
AllHitAnalyze.py
235 lines (207 loc) · 9.1 KB
/
AllHitAnalyze.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
import json
# import numpy as np
import matplotlib.gridspec as gridspec
import matplotlib.patches as patches
import matplotlib.pyplot as plt
import sqlite3 as sql
from matplotlib.pyplot import MultipleLocator
class AllHitAnalyze(object):
"""docstring for HitAnalyze"""
def __init__(self):
super(AllHitAnalyze, self).__init__()
db = sql.connect('./musync_data/HitDelayHistory_v2.db')
cur = db.cursor()
res = cur.execute('select HitMap from HitDelayHistory')
res = res.fetchall()
hitMapA = [0]*150 # -149~-0
hitMapB = [0]*251 # +0~+250
self.sumYnum = 0 # with miss
self.sumYnumEx = 0 # only Exact
self.sumYnumEX = 0 # only cyan Exact
self.rate=[0,0,0,0,0] # EXACT,Exact,Great,Right,Miss
self.accurateRate=[0,0,0,0,0,0,0,0] # ±5ms,±10ms,±20ms,±45ms,Exact,Great,Right,Miss
for ids in res:
for idx in ids[0].split("|"):
idx = float(idx)
self.sumYnum += 1
idxAbs = abs(idx)
if idxAbs<5:
self.rate[0] += 1
self.accurateRate[0] += 1
elif idxAbs<10:
self.rate[0] += 1
self.accurateRate[1] += 1
elif idxAbs<20:
self.rate[0] += 1
self.accurateRate[2] += 1
elif idxAbs<45:
self.rate[0] += 1
self.accurateRate[3] += 1
elif idxAbs<90:
self.rate[1] += 1
self.accurateRate[4] += 1
elif idxAbs<150:
self.rate[2] += 1
self.accurateRate[5] += 1
elif idxAbs<250:
self.rate[3] += 1
self.accurateRate[6] += 1
else :
self.rate[4] += 1
self.accurateRate[7] += 1
if idxAbs<45:
self.sumYnumEX += 1
self.sumYnumEx += 1
elif idxAbs<90:
self.sumYnumEx += 1
if idx < 0:
idx = int(idx)-1
else:
idx = int(idx)
if (idx >= 0) and (idx < 250):hitMapB[idx] += 1
elif (idx >= 250):hitMapB[250] += 1
else:hitMapA[idx] += 1
self.xAxis = [i for i in range(-150,251)]
self.yAxis = hitMapA + hitMapB
self.avg = sum([ids[0]*ids[1]/self.sumYnum for ids in zip(self.xAxis,self.yAxis)])
self.var = sum([(ids[1]/self.sumYnum)*((ids[0] - self.avg) ** 2) for ids in zip(self.xAxis,self.yAxis)])
self.std = self.var**0.5
self.avgEx = sum([ids[0]*ids[1]/self.sumYnumEx for ids in zip(self.xAxis[61:240],self.yAxis[61:240])])
self.varEx = sum([(ids[1]/self.sumYnumEx)*((ids[0] - self.avgEx) ** 2) for ids in zip(self.xAxis[61:240],self.yAxis[61:240])])
self.stdEx = self.varEx**0.5
self.avgEX = sum([ids[0]*ids[1]/self.sumYnumEX for ids in zip(self.xAxis[106:195],self.yAxis[106:195])])
self.varEX = sum([(ids[1]/self.sumYnumEX)*((ids[0] - self.avgEX) ** 2) for ids in zip(self.xAxis[106:195],self.yAxis[106:195])])
self.stdEX = self.varEX**0.5
# del db,cur,hitMapA,hitMapB,res,idxAbs
print('All data: ',self.avg,self.var,self.std,self.sumYnum)
print('Exact rate:',self.avgEx,self.varEx,self.stdEx,self.sumYnumEx)
print('cyan Exact:',self.avgEX,self.varEX,self.stdEX,self.sumYnumEX)
def Show(self):
with open('./musync_data/ExtraFunction.cfg', 'r',encoding='utf8') as confFile:
config = json.load(confFile)
fig = plt.figure(f"HitAnalyze (Total:{self.sumYnum}, CyanEx:{self.rate[0]}, BlueEx:{self.rate[1]}, Great:{self.rate[2]}, Right:{self.rate[3]}, Miss:{self.rate[4]})", figsize=(16, 9))
fig.clear()
# fig.subplots_adjust(**{"left":0,"bottom":0,"right":1,"top":1})
plt.rcParams['font.serif'] = ["LXGW WenKai Mono"]
plt.rcParams["font.sans-serif"] = ["LXGW WenKai Mono"]
# plt.rcParams["figure.subplot.bottom"] = 0
# plt.rcParams["figure.subplot.hspace"] = 0
# plt.rcParams["figure.subplot.left"] = 0
# plt.rcParams["figure.subplot.right"] = 0
# plt.rcParams["figure.subplot.top"] = 0
# plt.rcParams["figure.subplot.wspace"] = 0
grid = gridspec.GridSpec(3, 5, left=0.045, right=1, top=1, bottom=0.06, wspace=0, hspace=0)
# print(plt.rcParams)
ax1 = fig.add_subplot(grid[:,:])
self.Line(ax1)
if config['EnableDonutChartinAllHitAnalyze']:
ax2 = fig.add_subplot(grid[0:2,3:])
ax2.add_patch(patches.Rectangle((-1.5, -1.5), 3, 3, color="white"))
# print(ax2.get_subplotspec())
self.Pie(ax2)
plt.show()
def Line(self,ax1):
e = 2.718281828459045
p = 3.141592653589793
def PDFx(x):
# pdf = np.exp((x-self.avg)**2/(-2*self.var))/(np.sqrt(2*np.pi)*self.std)
pdf = (e**(-1*(((x-self.avg)**2))/(2*self.var))) / (((2*p)**0.5)*self.std)
return pdf*self.sumYnum
def PDFxEx(x):
# pdf = np.exp((x-self.avg)**2/(-2*self.var))/(np.sqrt(2*np.pi)*self.std)
pdf = (e**(-1*(((x-self.avgEx)**2))/(2*self.varEx))) / (((2*p)**0.5)*self.stdEx)
return pdf*self.sumYnumEx
def PDFxEX(x):
# pdf = np.exp((x-self.avg)**2/(-2*self.var))/(np.sqrt(2*np.pi)*self.std)
pdf = (e**(-1*(((x-self.avgEX)**2))/(2*self.varEX))) / (((2*p)**0.5)*self.stdEX)
return pdf*self.sumYnumEX
colors = ['red','orange','yellow','green','cyan','blue','purple']
yLine = []
maxY = max(self.yAxis)
strMaxY = str(maxY)
maxLen = 10**len(strMaxY)
maxLenSub2 = maxLen//100
if maxY < maxLen*0.2:
for ids in range(maxLen//400,maxLenSub2,maxLen//400):
yLine.append([ids for i in range(-150,251)])
for ids in range(maxLenSub2,maxLenSub2*(int(strMaxY[0:2])+2),maxLenSub2):
yLine.append([ids for i in range(-150,251)])
elif maxY < maxLen*0.3:
for ids in range(maxLenSub2,maxLenSub2*(int(strMaxY[0:2])+2),maxLenSub2):
yLine.append([ids for i in range(-150,251)])
elif maxY < maxLen*0.6:
for ids in range(maxLenSub2*2,maxLenSub2*(int(strMaxY[0:2])+2),maxLenSub2*2):
yLine.append([ids for i in range(-150,251)])
else:
for ids in range(maxLen//40,maxLen//10,maxLen//40):
yLine.append([ids for i in range(-150,251)])
for ids in range(maxLen//10,maxY+maxLen//10,maxLen//10):
yLine.append([ids for i in range(-150,251)])
ax1.set_xlabel("Delay(ms)", fontsize=15)
ax1.set_ylabel("HitCount", fontsize=15)
ax1.set_xlim(-155,255)
ax1.xaxis.set_major_locator(MultipleLocator(10))
if maxY < 100:
ax1.yaxis.set_major_locator(MultipleLocator(5))
elif maxY < 1000:
ax1.yaxis.set_major_locator(MultipleLocator(25))
elif maxY < 2000:
ax1.yaxis.set_major_locator(MultipleLocator(50))
elif maxY < 4000:
ax1.yaxis.set_major_locator(MultipleLocator(75))
elif maxY < 8000:
ax1.yaxis.set_major_locator(MultipleLocator(150))
elif maxY < 16000:
ax1.yaxis.set_major_locator(MultipleLocator(300))
elif maxY < 32000:
ax1.yaxis.set_major_locator(MultipleLocator(600))
x=0
for ids in yLine:
ax1.plot(self.xAxis,ids,linestyle='--',alpha=1,linewidth=1,color=colors[x])
x = (x+1)%7
##正态分布函数曲线
pdfAxis = [PDFx(i) for i in self.xAxis]
ax1.plot(self.xAxis,pdfAxis,linestyle='-',alpha=1,linewidth=1,color='grey',
label=f'Fitting all data\n(μ={self.avg}\n σ={self.std})')
pdfExAxis = [PDFxEx(i) for i in self.xAxis]
ax1.plot(self.xAxis,pdfExAxis,linestyle='-',alpha=1,linewidth=1,color='black',
label=f'Fitting only on Exact rate\n(μ={self.avgEx}\n σ={self.stdEx})')
pdfEXAxis = [PDFxEX(i) for i in self.xAxis]
ax1.plot(self.xAxis,pdfEXAxis,linestyle='-',alpha=1,linewidth=1,color='blue',
label=f'Fitting only on Cyan Exact rate\n(μ={self.avgEX}\n σ={self.stdEX})')
for i in range(len(self.xAxis)):
ax1.bar(self.xAxis[i],self.yAxis[i])
ax1.legend(loc='upper left',prop={'size':15}) #显示上面的label
def Pie(self,ax2):
def Percentage(num, summ):
per = num/summ*100
return ' '*(3-len(str(int((per)))))+'%.3f%%'%(per)
def Count(num):
cou = str(num)
return ' '*(6-len(cou))+cou
def PercentageLabel(num, summ):
per = num/summ*100
return '%.1f%%'%(per)
accurateRateSum = sum(self.accurateRate)
wedgeprops = {'width':0.15, 'edgecolor':'black', 'linewidth':0.2}
pieRtn = ax2.pie(self.accurateRate, wedgeprops=wedgeprops, startangle=90, autopct='%1.1f%%', pctdistance = 0.95, labeldistance = 1.05,
colors=['#9dfff0', '#69f1f1', '#25d8d8', '#32a9c7', '#2F97FF', 'green', 'orange', 'red', ],
labels=["EXACT±5ms", "EXACT±10ms", "EXACT±20ms", "EXACT±45ms", "Exact", "Great", "Right", "Miss", ],
textprops={'size':12})
ax2.legend(prop={'size':12},loc='center', handles=pieRtn[0],
# labelcolor=['#9dfff0', '#69f1f1', '#25d8d8', '#32a9c7', '#2F97FF', 'green', 'orange', 'red', ],
labels=[
f"EXACT± 5ms {Count(self.accurateRate[0])} {Percentage(self.accurateRate[0], accurateRateSum)}",
f"EXACT±10ms {Count(self.accurateRate[1])} {Percentage(self.accurateRate[1], accurateRateSum)}",
f"EXACT±20ms {Count(self.accurateRate[2])} {Percentage(self.accurateRate[2], accurateRateSum)}",
f"EXACT±45ms {Count(self.accurateRate[3])} {Percentage(self.accurateRate[3], accurateRateSum)}",
f"Exact±90ms {Count(self.accurateRate[4])} {Percentage(self.accurateRate[4], accurateRateSum)}",
f"Great±150ms {Count(self.accurateRate[5])} {Percentage(self.accurateRate[5], accurateRateSum)}",
f"Right＋250ms {Count(self.accurateRate[6])} {Percentage(self.accurateRate[6], accurateRateSum)}",
f"Miss > 250ms {Count(self.accurateRate[7])} {Percentage(self.accurateRate[7], accurateRateSum)}", ],
)
ax2.text(0.1,0.5,f"EXACT {Count(sum(self.accurateRate[0:4]))} " \
f"{Percentage(sum(self.accurateRate[0:4]), accurateRateSum)}",
ha='center',va='top',fontsize=12,color='#00B5B5', )
if __name__ == '__main__':
HitAnalyze().Show()