cookies

{
'ABTEST':'0|1511442013|v1',
'JSESSIONID':'aaaZY9-p_6O-XceukYv8v',
'SUID':'8A84F9721E24940A000000005A16C65D',
'ppmdig':'1511442395000000fb9379546ef121524f1fd4d479cc524b',
'weixinIndexVisited':1,
'sgid':'10-32132643-AVoWx9vicpY3IIPqGUeiaZJsw',
'sct':'2',
'pprdig':'hu35kzwSBJpBzsvVWw1cdZmMTWOBbxb_BjPk9VINZ-jNDsqxZr04K-lyXHseigfiEf0xYwwe82D6eBLgDphUyOrPJrwbsI9IK4MqPOTA3AWTdux58TD1daC62b_LUV845lviDZoCcsNsXUkIL-WpaE3DZrMYEpk5k-BXBMj24aE,
'ppinf':'5|1511442395|1512651995|dHJ1c3Q6MToxfGNsaWVudGlkOjQ6MjAxN3x1bmlxbmFtZTozNjolRTYlQjMlQTIlRTYlQjYlOUIlRTUlODAlQTklRTUlQkQlQjF8Y3J0OjEwOjE1MTE0NDIzOTV8cmVmbmljazozNjolRTYlQjMlQTIlRTYlQjYlOUIlRTUlODAlQTklRTUlQkQlQjF8dXNlcmlkOjQ0Om85dDJsdUY0d1ZTbVc2dzBQQ2NGRjVLUkh1SXdAd2VpeGluLnNvaHUuY29tfA'
'black_passportid':'1',
}

#coding = utf-8

__autor__ = 'litao'


import requests
url = 'http://mp.weixin.qq.com/s?src=11&timestamp=1511443614&ver=532&signature=JoSo0qHLu59MoHdQkDX*UJV6VaNdV-i9D7d54GlFu1eG-rw3Y7epj9gf0WkFzKjNmZyBi3vgymnG3e*uQgg1dewd58y383ecI0kQgHiy29e4jeHT-c9DCR7u9JdhkU8A&new=1'
cookies = {
'ABTEST':'0|1511442013|v1',
'JSESSIONID':'aaaZY9-p_6O-XceukYv8v',
'SUID':'8A84F9721E24940A000000005A16C65D',
'ppmdig':'1511442395000000fb9379546ef121524f1fd4d479cc524b',
'weixinIndexVisited':'1',
'sgid':'10-32132643-AVoWx9vicpY3IIPqGUeiaZJsw',
'sct':'2',
'pprdig':'hu35kzwSBJpBzsvVWw1cdZmMTWOBbxb_BjPk9VINZ-jNDsqxZr04K-lyXHseigfiEf0xYwwe82D6eBLgDphUyOrPJrwbsI9IK4MqPOTA3AWTdux58TD1daC62b_LUV845lviDZoCcsNsXUkIL-WpaE3DZrMYEpk5k-BXBMj24aE',
'ppinf':'5|1511442395|1512651995|dHJ1c3Q6MToxfGNsaWVudGlkOjQ6MjAxN3x1bmlxbmFtZTozNjolRTYlQjMlQTIlRTYlQjYlOUIlRTUlODAlQTklRTUlQkQlQjF8Y3J0OjEwOjE1MTE0NDIzOTV8cmVmbmljazozNjolRTYlQjMlQTIlRTYlQjYlOUIlRTUlODAlQTklRTUlQkQlQjF8dXNlcmlkOjQ0Om85dDJsdUY0d1ZTbVc2dzBQQ2NGRjVLUkh1SXdAd2VpeGluLnNvaHUuY29tfA',
'black_passportid':'1',
}
html = requests.get(url=url,cookies = cookies).text
print(html)

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
plt.plot(np.arange(30))

%matplotlib inline
fig = plt.figure()
ax1 = fig.add_subplot(2,2,1)
ax2 = fig.add_subplot(2,2,2)
ax3 = fig.add_subplot(2,2,3)
from numpy.random import randn
data = randn(50).cumsum()
plt.plot(data,'k--')
ax1.hist(randn(100),bins=20,color='g',alpha=0.3)
ax2.scatter(np.arange(30),np.arange(30)*randn(30))

fig,axes = plt.subplots(2,2,figsize=(10,10),sharex=False,sharey=True)
# plt.subplots_adjust(wspace=0.3,hspace=0)
for i in range(2):
for j in range(2):
axes[i,j].hist(randn(500),bins=100,color='g',alpha=0.1)
plt.subplots_adjust(wspace=0.3,hspace=0)