itchat这个库多年前也使用过，目前还有可以正常使用，周末休息，就再次测试一下，统计我的好友性别占比和所在城市的占比。使用matplot 绘制图像，并存储为图片文件。
1. 好友的性别占比
2. 好友所在城市分布
导出引用的库：
import itchat
import matplotlib.pyplotas plt
import os
itchat.auto_login(hotReload=True)# 避免每次都登录
itchat.dump_login_status()
# 1. 获取好友信息
friends = itchat.get_friends(update=True)[:]
# 2. 获取好友的性别占比，绘制饼图
man =0
woman =0
other =0
total =len(friends[1:])
for finfo in friends[1:]:
sex = finfo[‘Sex’]
if sex ==1:
man +=1
elif sex ==2:
woman +=1
else:
other +=1
# 绘制饼图
man_ratio =int(man)/total *100
woman_ratio =int(woman)/total *100
other_ratio =int(other)/total *100
plt.rcParams[‘font.sans-serif’] = [‘SimHei’]
plt.rcParams[‘axes.unicode_minus’] =False
plt.figure(figsize=(5, 5))
sex_li = [‘男’, ‘女’, ‘其他’]
radius = [0.01, 0.01, 0.01]
colors = [‘red’, ‘yellowgreen’, ‘lightskyblue’]
proportion = [man_ratio, woman_ratio, other_ratio]
plt.pie(proportion, explode=radius, labels=sex_li, colors=colors, autopct=’%.2f%%’)# 绘制饼图
# 加入图例 loc =? ‘upper right’ 位于右上角 bbox_to_anchor=[0.5, 0.5] # 外边距 上边 右边 borderaxespad = 0.3图例的内边距
plt.legend(loc=“upper right”, fontsize=10, bbox_to_anchor=(1.1, 1.1), borderaxespad=0.3)
# 绘制标题
plt.title(‘微信好友性别比例’)
# 展示
plt.show()
# 3. 统计好友所在城市的数量，绘制柱状图
prov_dict, city_dict = {}, {}
for fri_info in friends[1:]:
prov = fri_info[‘Province’]
city = fri_info[‘City’]
if provand provnot in prov_dict.keys():
prov_dict[prov] =1
elif prov:
prov_dict[prov] +=1
if cityand citynot in city_dict.keys():
city_dict[city] =1
elif city:
city_dict[city] +=1
# 区域Top15
prov_dict_top15 =sorted(prov_dict.items(), key=lambda x: x[1], reverse=True)[0:15]
# 城市Top15
city_dict_top15 =sorted(city_dict.items(), key=lambda y: y[1], reverse=True)[0:15]
prov_nm, prov_num = [], [] # 省会名 + 数量
for prov_data in prov_dict_top15:
rov_nm.append(prov_data[0])
prov_num.append(prov_data[1])
colors = [’#00FFFF’, ‘#7FFFD4’, ‘#F08080’, ‘#90EE90’, ‘#AFEEEE’,
‘#98FB98’, ‘#B0E0E6’, ‘#00FF7F’, ‘#FFFF00’, ‘#9ACD32’,
‘#6ACD32’, ‘#3ACD32’, ‘#1ACD32’, ‘#2ACD32’, ‘#7ACD32’]
plt.rcParams[‘font.sans-serif’] = [‘SimHei’]
plt.rcParams[‘axes.unicode_minus’] =False
index =range(len(prov_num))
plt.bar(index, prov_num, color=colors, width=0.5, align=‘center’)
plt.xticks(range(len(prov_nm)), prov_nm) # 横坐轴标签
for x, y in enumerate(prov_num):
# 在柱子上方1.2处标注值
plt.text(x, y +1.2, ‘%s’ % y, ha=‘center’, fontsize=10)
plt.ylabel(‘省会好友人数’) # 设置纵坐标标签
prov_title =‘微信好友区域Top15’
plt.title(prov_title)# 设置标题
plt.savefig(‘微信好友区域Top15.png’)# 保存图片
plt.show()
运行正常。