-
Notifications
You must be signed in to change notification settings - Fork 1
Expand file tree
/
Copy pathtest2.py
More file actions
134 lines (120 loc) · 4.98 KB
/
Copy pathtest2.py
File metadata and controls
134 lines (120 loc) · 4.98 KB
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
# coding: utf-8
import matplotlib.pyplot as plt
import numpy as np
def loadDataSet():
dataMat10 = []; dataMat11 = [];dataMat12 = [];dataMat13 = [];dataMat20 = [];dataMat21 = [];dataMat22 = [];dataMat23 = [];labelMat1 = [];labelMat2 = []
dict1 = {};dict2 = {}
fr = open('F:\\PythonPro\\LoadData\\src\\test2.txt')
for line in fr.readlines():
lineArr = line.strip("\n").split("\t")
if '2016' in lineArr[0]:
#dataMat1.append(float(lineArr[1]))
#labelMat1.append(int(lineArr[0][4:8]))
dict1[int(lineArr[0][4:8])] = [float(lineArr[1]),float(lineArr[2]),float(lineArr[3]),float(lineArr[4])]
#print(dict1)
else:
#dataMat2.append(float(lineArr[1]))
#labelMat2.append(int(lineArr[0][4:8]))
dict2[int(lineArr[0][4:8])] = [float(lineArr[1]),float(lineArr[2]),float(lineArr[3]),float(lineArr[4])]
#print(dict2)
key1 = sorted(dict1.keys())
key2 = sorted(dict2.keys())
keys = sorted(list(set(key2+key1)))
#print(len(keys))
for key in keys:
#print(key)
value1 = dict1.get(key, [0,0,0,0])
value2 = dict2.get(key, [0,0,0,0])
dataMat10.append(value1[0])
dataMat11.append(value1[1])
dataMat12.append(value1[2])
dataMat13.append(value1[3])
dataMat20.append(value2[0])
dataMat21.append(value2[1])
dataMat22.append(value2[2])
dataMat23.append(value2[3])
#print(value2,value1)
print(len(dataMat10),len(dataMat20))
return dataMat10, dataMat11,dataMat12,dataMat13,dataMat20,dataMat21,dataMat22,dataMat23,keys
def call_back(event):
info = 'name:{}\n button:{}\n x,y:{},{}\n xdata,ydata:{}{}'.format(event.name, event.button,event.x, event.y,event.xdata, event.ydata)
#info = 'name:{}'.format()
#text = ax.text(event.xdata, event.ydata, 'event', ha='center', va='center', fontdict={'size': 10})
text.set_text(info)
fig.canvas.draw_idle()
def onpick3(event):
ind = event.ind
print('onpick3 scatter:', ind, np.take(key, ind), np.take(dataMat, ind))
info = 'time,sale:{}{}'.format(np.take(key, ind), np.take(dataMat, ind))
text.set_text(info)
fig.canvas.draw_idle()
if __name__ == "__main__":
dataMat10, dataMat11,dataMat12,dataMat13,dataMat20,dataMat21,dataMat22,dataMat23,keys = loadDataSet()
x=np.arange(0,len(dataMat10),1)
y=np.arange(0,len(dataMat20),1)
fig, ax = plt.subplots()
text = ax.text(0, 30000, 'event', ha='center', va='center', fontdict={'size': 10})
#fig.canvas.mpl_connect('motion_notify_event', call_back)
#plt.gcf().canvas.mpl_connect('motion_notify_event', call_back)
ax.plot(x,dataMat10,'ko--')
#ax.plot(x,dataMat11,'ko--')
#ax.plot(x,dataMat12,'ko--')
#ax.plot(x,dataMat13,'ko--')
ax.plot(y,dataMat20,'go--')
#ax.plot(y,dataMat21,'g*--')
#ax.plot(y,dataMat22,'g*--')
#ax.plot(y,dataMat23,'g*--')
key = keys+keys
xy=np.append(x,y)
print(len(xy))
dataMat = dataMat10+dataMat20
print(len(dataMat))
width = 0.15
plt.xticks(np.arange(len(keys)) + 1.0*width, keys)
axis = plt.gca().xaxis
for label in axis.get_ticklabels():
label.set_color("k")
label.set_rotation(45)
label.set_fontsize(10)
col1 = ax.scatter(xy, dataMat,picker=True)
fig.canvas.mpl_connect('pick_event', onpick3)
fig1, ax1 = plt.subplots()
text1 = ax1.text(0, 30000, 'event', ha='center', va='center', fontdict={'size': 10})
#fig.canvas.mpl_connect('motion_notify_event', call_back)
#plt.gcf().canvas.mpl_connect('motion_notify_event', call_back)
ax1.plot(x,dataMat12,'ko--')
#ax.plot(x,dataMat11,'ko--')
#ax.plot(x,dataMat12,'ko--')
#ax.plot(x,dataMat13,'ko--')
ax1.plot(y,dataMat22,'go--')
#ax.plot(y,dataMat21,'g*--')
#ax.plot(y,dataMat22,'g*--')
#ax.plot(y,dataMat23,'g*--')
key = keys+keys
xy=np.append(x,y)
print(len(xy))
dataMat = dataMat11+dataMat21
print(len(dataMat))
width = 0.15
plt.xticks(np.arange(len(keys)) + 1.0*width, keys)
axis = plt.gca().xaxis
for label in axis.get_ticklabels():
label.set_color("k")
label.set_rotation(45)
label.set_fontsize(10)
col1 = ax1.scatter(xy, dataMat,picker=True)
fig1.canvas.mpl_connect('pick_event', onpick3)
#index = 0
#for item in keys:
# plt.text(item, y[index]+0.05, '%.0f' % y[index], ha='center', va= 'bottom',fontsize=7)
# print(item)
# index = index+1
#x1 = dataMat1
#y1 = keys
#index = 0
#for item in y1:
# plt.plot([dataMat1[index], dataMat1[index],], [0, item,], 'k--', linewidth=2.5)
# plt.scatter([dataMat1[index], ], [item, ], s=50, color='b')
# #plt.annotate(r'$2x+1=%s$' % item, xy=(dataMat1[index], item), xycoords='data', xytext=(+30, -30),textcoords='offset points', fontsize=16,arrowprops=dict(arrowstyle='->', connectionstyle="arc3,rad=.2"))
# index = index+1
plt.show()