matplotlib绘图笔记之二：饼图展示微信好友的性别比例

• 2020 年 3 月 3 日
• 筆記

第一步是使用 itchat 库获取微信好友的地区和性别

itchat github主页 https://github.com/littlecodersh/ItChat 自己windows系统电脑安装了Anaconda，直接在dos命令行使用命令pip install itchat即可安装；接下来是登录微信，命令：

import itchat  itchat.auto_login()  

运行命令跳出二维码扫描即可登录。使用friends = itchat.get_friends(update=True)获取微信好友信息。

friends是一个列表，每一个好友的信息以字典的形式存储。

比如我运行friends[0]返回的是自己的信息

<User: {'MemberList': <ContactList: []>,  'UserName': '@f82286b5a23ecde13e5b40ff120f82ae42723de36c8e12941a7dffd7adb88133,  'City': '',   'DisplayName': '',   'PYQuanPin': '',  'RemarkPYInitial': '',  'Province': '',  'KeyWord': '',  'RemarkName': '',  'PYInitial': '',  'EncryChatRoomId': '',  'Alias': '',   'Signature': '积极进取，随遇而安',   'NickName': '牧羊的男孩儿',  'RemarkPYQuanPin': '',   'HeadImgUrl': '/cgi-bin/mmwebwx-bin/webwxgeticon?seq=750416727&username=@f82286b5a23ecde13e5b40ff120f82ae42723de36c8e12941a7dffd7adb88133&skey=@crypt_2ecc843e_bfedf24f4279fd0bb90d87bbd8099401',   'UniFriend': 0,  'Sex': 1,  'AppAccountFlag': 0,   'VerifyFlag': 0,  'ChatRoomId': 0,  'HideInputBarFlag': 0,   'AttrStatus': 0,   'SnsFlag': 1,  'MemberCount': 0,  'OwnerUin': 0,   'ContactFlag': 0,   'Uin': 2642324728,   'StarFriend': 0,   'Statues': 0,  'WebWxPluginSwitch': 0,   'HeadImgFlag': 1}>  

性别Sex男是1，女是2，未知是0，一个简单的循环获取男女的数量

Unknow = 0  Male = 0  Female = 0  for friend in friends:    if friend["Sex"] == 0:      Unknow = Unknow +1    elif friend["Sex"] == 1:      Male += 1    else:      Female += 1  print("The number of male friends is: ", Male)  print("The number of female friends is: " , Female)  print("There are some friends without gender! " , Unknow)  # 结果  The number of male friends is:  255  The number of male friends is:  169  There are some friends without gender!  29  

第二步制作饼图

教程地址 https://matplotlib.org/gallery/pie_and_polar_charts/pie_features.html#sphx-glr-gallery-pie-and-polar-charts-pie-features-py

import matplotlib.pyplot as plt  gender = [255,169,29]  labels = ["Male","Female","Unknow"]  plt.pie(gender)  plt.show()  

image.png

plt.pie(gender,labels=labels)  plt.show()  

image.png

plt.pie(gender,labels=labels,explode=(0.1,0,0))  plt.show()  

image.png

plt.pie(gender,labels=labels,explode=(0.1,0,0),autopct='%1.1f%%')  plt.show()  

image.png

plt.pie(gender,labels=labels,explode=(0.1,0,0),autopct='%1.1f%%',shadow=True)  plt.show()  

plt.pie(gender,labels=labels,explode=(0.1,0,0),autopct='%1.1f%%',shadow=True,startangle=90)  

image.png

plt.pie(gender,labels=labels,explode=(0.1,0,0),autopct='%1.1f%%',shadow=True,startangle=90)  plt.axis('equal')  plt.show()  

image.png

PS:图片保存为png格式不知道什么原因阴影部分比较发黑！