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今天偶然看见博客，用Python玩转微信，写得非常好。

然而，貌似用的Python2版本，并且每次执行都要重复扫码登录，这对于我这种Python3的用户是不行的。

动起手来，自己干！

1. 安装相应的库

pip install itchat
pip install echarts-python

2. 实现登陆状态保存：

import itchat

itchat.auto_login(hotReload=True)
itchat.dump_login_status()

import itchat

itchat.auto_login(hotReload=True)
itchat.dump_login_status()

这样你就可以保持一段时间登录状态，而不用每次运行代码都要扫码登录了！

首次登录，程序会弹出一个二维码图片窗口，用微信手机客户端扫码就可以登录了！

3. 使用饼图展示个人好友性别分布

有一个echarts-python库可以帮助你方便的使用python代码在浏览器中展示百度Echart图。但是，但是，这个库是Python2的，

Python3用起来水土不服，没办法只好根据错误修改库的源码！下图显示了应该改的两个地方（其实还有很多地方）。

改完库的源码，就可以执行代码了。借用前人的代码，修改了一下：

#!/usr/bin/env python
# -*- coding:utf-8 -*-

import itchat

itchat.auto_login(hotReload=True)
itchat.dump_login_status()

friends = itchat.get_friends(update=True)[:]
total = len(friends) - 1
male = female = other = 0

for friend in friends[1:]:
    sex = friend["Sex"]
    if sex == 1:
        male += 1
    elif sex == 2:
        female += 1
    else:
        other += 1
# print("男性好友：%.2f%%" % (float(male) / total * 100))
# print("女性好友：%.2f%%" % (float(female) / total * 100))
# print("其他：%.2f%%" % (float(other) / total * 100))

from echarts import Echart, Legend, Pie
chart = Echart('%s的微信好友性别比例' % (friends[0]['NickName']), 'from WeChat')
chart.use(Pie('WeChat',
              [{'value': male, 'name': '男性 %.2f%%' % (float(male) / total * 100)},
               {'value': female, 'name': '女性 %.2f%%' % (float(female) / total * 100)},
               {'value': other, 'name': '其他 %.2f%%' % (float(other) / total * 100)}],
              radius=["50%", "70%"]))
chart.use(Legend(["male", "female", "other"]))
del chart.json["xAxis"]
del chart.json["yAxis"]
chart.plot()
#!/usr/bin/env python
# -*- coding:utf-8 -*-

import itchat

itchat.auto_login(hotReload=True)
itchat.dump_login_status()

friends = itchat.get_friends(update=True)[:]
total = len(friends) - 1
male = female = other = 0

for friend in friends[1:]:
    sex = friend["Sex"]
    if sex == 1:
        male += 1
    elif sex == 2:
        female += 1
    else:
        other += 1
# print("男性好友：%.2f%%" % (float(male) / total * 100))
# print("女性好友：%.2f%%" % (float(female) / total * 100))
# print("其他：%.2f%%" % (float(other) / total * 100))

from echarts import Echart, Legend, Pie
chart = Echart('%s的微信好友性别比例' % (friends[0]['NickName']), 'from WeChat')
chart.use(Pie('WeChat',
              [{'value': male, 'name': '男性 %.2f%%' % (float(male) / total * 100)},
               {'value': female, 'name': '女性 %.2f%%' % (float(female) / total * 100)},
               {'value': other, 'name': '其他 %.2f%%' % (float(other) / total * 100)}],
              radius=["50%", "70%"]))
chart.use(Legend(["male", "female", "other"]))
del chart.json["xAxis"]
del chart.json["yAxis"]
chart.plot()

运行代码，测试一下，成功在浏览器展示出来了：

我好想暴露了什么....

4. 好友个性签名词云

分析好友信息，能发现个性签名，可以用它做词云。

for friend in friends:
        signature = friend["Signature"].strip()
        signature = re.sub("<span.*>", "", signature)
        signature_list.append(signature)
    raw_signature_string = ''.join(signature_list)
for friend in friends:
        signature = friend["Signature"].strip()
        signature = re.sub("<span.*>", "", signature)
        signature_list.append(signature)
    raw_signature_string = ''.join(signature_list)

上面利用正则，去掉一些类似<span class=....>以及空格之类的无用字符。然后把他们连成一个大的长的字符串

pip install jieba

这个库是用来将字符串拆分成不重复的一个一个的词的，貌似都是2字词。

pip install wordcloud

安装词云库，会弹出错误如下图

怎么办？去http://www.lfd.uci.edu/~gohlke/pythonlibs/#wordcloud 页面下载所需的wordcloud模块的whl文件

下载后进执行“pip install wordcloud-1.3.1-cp36-cp36m-win_amd64.whl”，就可以了。意文件路径。

利用jieba的cut方法将字符串裁成一个一个的词，然后用空格，将它们又连起来。注意是用空格哦！千万别看错了！

text = jieba.cut(raw_signature_string, cut_all=True)
    target_signatur_string = ' '.join(text)
text = jieba.cut(raw_signature_string, cut_all=True)
    target_signatur_string = ' '.join(text)

再导入一些辅助的库

import matplotlib.pyplot as plt
from wordcloud import WordCloud, ImageColorGenerator
import PIL.Image as Image
import os
import numpy as np
import matplotlib.pyplot as plt
from wordcloud import WordCloud, ImageColorGenerator
import PIL.Image as Image
import os
import numpy as np

这些库，有的会自动安装，有的可能要你自己装，比如pip install numpy

然后提供一张图片。

wordcloud会根据这张图片在x和y轴上的颜色以及范围等等，布置词云。这个过程是通过numpy的矩阵和matplot的画图能力实现的。

下面的源码是根据原文的代码略微修改后的。

#!/usr/bin/env python
# -*- coding:utf-8 -*-

import itchat
import re
import jieba


def echart_pie(friends):
    total = len(friends) - 1
    male = female = other = 0

    for friend in friends[1:]:
        sex = friend["Sex"]
        if sex == 1:
            male += 1
        elif sex == 2:
            female += 1
        else:
            other += 1
    from echarts import Echart, Legend, Pie
    chart = Echart('%s的微信好友性别比例' % (friends[0]['Name']), 'from WeChat')
    chart.use(Pie('WeChat',
                  [{'value': male, 'name': '男性 %.2f%%' % (float(male) / total * 100)},
                   {'value': female, 'name': '女性 %.2f%%' % (float(female) / total * 100)},
                   {'value': other, 'name': '其他 %.2f%%' % (float(other) / total * 100)}],
                  radius=["50%", "70%"]))
    chart.use(Legend(["male", "female", "other"]))
    del chart.json["xAxis"]
    del chart.json["yAxis"]
    chart.plot()


def word_cloud(friends):
    import matplotlib.pyplot as plt
    from wordcloud import WordCloud, ImageColorGenerator
    import PIL.Image as Image
    import os
    import numpy as np
    d = os.path.dirname(__file__)
    my_coloring = np.array(Image.open(os.path.join(d, "2.png")))
    signature_list = []
    for friend in friends:
        signature = friend["Signature"].strip()
        signature = re.sub("<span.*>", "", signature)
        signature_list.append(signature)
    raw_signature_string = ''.join(signature_list)
    text = jieba.cut(raw_signature_string, cut_all=True)
    target_signatur_string = ' '.join(text)

    my_wordcloud = WordCloud(background_color="white", max_words=2000, mask=my_coloring,
                             max_font_size=40, random_state=42,
                             font_path=r"C:\Windows\Fonts\simhei.ttf").generate(target_signatur_string)
    image_colors = ImageColorGenerator(my_coloring)
    plt.imshow(my_wordcloud.recolor(color_func=image_colors))
    plt.imshow(my_wordcloud)
    plt.axis("off")
    plt.show()
    # 保存图片 并发送到手机
    my_wordcloud.to_file(os.path.join(d, "wechat_cloud.png"))
    itchat.send_image("wechat_cloud.png", 'filehelper')


itchat.auto_login(hotReload=True)
itchat.dump_login_status()

friends = itchat.get_friends(update=True)[:]

# echart_pie(friends)

word_cloud(friends)
#!/usr/bin/env python
# -*- coding:utf-8 -*-

import itchat
import re
import jieba


def echart_pie(friends):
    total = len(friends) - 1
    male = female = other = 0

    for friend in friends[1:]:
        sex = friend["Sex"]
        if sex == 1:
            male += 1
        elif sex == 2:
            female += 1
        else:
            other += 1
    from echarts import Echart, Legend, Pie
    chart = Echart('%s的微信好友性别比例' % (friends[0]['Name']), 'from WeChat')
    chart.use(Pie('WeChat',
                  [{'value': male, 'name': '男性 %.2f%%' % (float(male) / total * 100)},
                   {'value': female, 'name': '女性 %.2f%%' % (float(female) / total * 100)},
                   {'value': other, 'name': '其他 %.2f%%' % (float(other) / total * 100)}],
                  radius=["50%", "70%"]))
    chart.use(Legend(["male", "female", "other"]))
    del chart.json["xAxis"]
    del chart.json["yAxis"]
    chart.plot()


def word_cloud(friends):
    import matplotlib.pyplot as plt
    from wordcloud import WordCloud, ImageColorGenerator
    import PIL.Image as Image
    import os
    import numpy as np
    d = os.path.dirname(__file__)
    my_coloring = np.array(Image.open(os.path.join(d, "2.png")))
    signature_list = []
    for friend in friends:
        signature = friend["Signature"].strip()
        signature = re.sub("<span.*>", "", signature)
        signature_list.append(signature)
    raw_signature_string = ''.join(signature_list)
    text = jieba.cut(raw_signature_string, cut_all=True)
    target_signatur_string = ' '.join(text)

    my_wordcloud = WordCloud(background_color="white", max_words=2000, mask=my_coloring,
                             max_font_size=40, random_state=42,
                             font_path=r"C:\Windows\Fonts\simhei.ttf").generate(target_signatur_string)
    image_colors = ImageColorGenerator(my_coloring)
    plt.imshow(my_wordcloud.recolor(color_func=image_colors))
    plt.imshow(my_wordcloud)
    plt.axis("off")
    plt.show()
    # 保存图片 并发送到手机
    my_wordcloud.to_file(os.path.join(d, "wechat_cloud.png"))
    itchat.send_image("wechat_cloud.png", 'filehelper')


itchat.auto_login(hotReload=True)
itchat.dump_login_status()

friends = itchat.get_friends(update=True)[:]

# echart_pie(friends)

word_cloud(friends)

运行后的效果是这样的：

windows下的显示效果真不怎么样！