一、分析数据可视化好友男女分布比例
1 plt.rcParams['font.sans-serif']=['SimHei']
2 #用来正常显示中文标签
3 plt.rcParams['axes.unicode_minus']=False
4
5 # 1.读取csv文件，把性别信息读取出来
6 def getSex(filename):
7 lstsex = []
8 with open(filename, 'r') as fr:
9 reader = csv.reader(fr)
10 for i in reader:
11 lstsex.append(i[4])
12 return lstsex
13
14
15 # 2.性别可视化
16 def VisualSexpyechart(lstsex):
17 sex = dict()
18 # 2.1提取好友性别信息，从1开始，因为第0个是自己
19 for f in lstsex[1:]:
20 if f == '1': # 男
21 sex["man"] = sex.get("man", 0) + 1
22 elif f == '2': # 女
23 sex["women"] = sex.get("women", 0) + 1
24 else: # 未知
25 sex["unknown"] = sex.get("unknown", 0) + 1
26 # 在屏幕上打印出来
27 total = len(lstsex[1:])
28 # 2.2打印出自己的好友性别比例
29 print("男性好友： %.2f%%" % (float(sex["man"]) / total * 100) + " " + "女性好友： %.2f%%" % (
30 float(sex["women"]) / total * 100) + " " +
31 "不明性别好友： %.2f%%" % (float(sex["unknown"]) / total * 100))
32 plt.figure(figsize=(6,9))
33 labels = [u'男性好友',u'女性好友',u'性别不明']
34 sizes = [sex['man'],sex['women'],sex['unknown']]
35 colors = ['red','yellowgreen','lightskyblue']
36 explode = (0.05,0,0)
37 patches,l_text,p_text = plt.pie(sizes,explode=explode,labels=labels,colors=colors,labeldistance = 1.1,autopct = '%3.1f%%',shadow = False,startangle = 90,pctdistance = 0.6)
38 for t in l_text:
39 t.set_size(30)
40 for t in p_text:
41 t.set_size(20)
42 plt.axis('equal')
43 plt.legend()
44 plt.show()
45
46 # 3.执行主程序，得到所有好友性别
47 VisualSexpyechart(getSex("我的微信好友信息.csv"))
二、可视化省份来源
1 import csv
2
3 from matplotlib import pyplot as plt
4
5 import matplotlib.pylab as plt
6
7 plt.rcParams['font.sans-serif']=['SimHei']
8 #用来正常显示中文标签
9 plt.rcParams['axes.unicode_minus']=False
10
11 # 1.读取csv文件，把省份信息读取出来
12 def getCity(filename):
13 lstcity = []
14 with open(filename, 'r') as fr:
15 reader = csv.reader(fr)
16 for i in reader:
17 lstcity.append(i[3])
18 return lstcity
19
20
21 # 2.可视化
22 def VisualSexpyechart(lstcity):
23 city = dict()
24 # 2.1提取好友省份信息
25 for f in lstcity[1:]:
26 if f == '山东':
27 city["山东"] = city.get("山东", 0) + 1
28 elif f == '黑龙江':
29 city["黑龙江"] = city.get("黑龙江", 0) + 1
30 elif f == '澳门':
31 city["澳门"] = city.get("澳门", 0) + 1
32 elif f == '吉林':
33 city["吉林"] = city.get("吉林", 0) + 1
34 elif f == '江苏':
35 city["江苏"] = city.get("江苏", 0) + 1
36 elif f == '贵州':
37 city["贵州"] = city.get("贵州", 0) + 1
38 elif f == '上海':
39 city["上海"] = city.get("上海", 0) + 1
40 elif f == '湖北':
41 city["湖北"] = city.get("湖北", 0) + 1
42 elif f == '北京':
43 city["北京"] = city.get("北京", 0) + 1
44 elif f == '浙江':
45 city["浙江"] = city.get("浙江", 0) + 1
46 elif f == '河北':
47 city["河北"] = city.get("河北", 0) + 1
48 elif f == '辽宁':
49 city["辽宁"] = city.get("辽宁", 0) + 1
50 elif f == '吉林':
51 city["吉林"] = city.get("吉林", 0) + 1
52 else :
53 city["未知"] = city.get("未知", 0) + 1
54 plt.figure(figsize=(6,9))
55 #labels = [u'山东',u'黑龙江',u'澳门',u'吉林',u'江苏',u'贵州',u'上海',u'湖北',u'北京',u'浙江',u'河北',u'辽宁',u'吉林',u'未知']
56 #sizes = [city["山东"],city["黑龙江"],city["澳门"],city["吉林"],city["江苏"],city["贵州"],citycity["上海"],city["湖北"],city["北京"],city["浙江"],city["河北"],city["辽宁"],city["吉林"],city["未知"]]
57 #colors = ['#ffff00','#ffcc00','#fff9900','#ff6600','#ff3300','#ffffcc','#ff99cc','#ff66cc','#dd33cc','#ff00ff','#99ff00','#99cc00','#996600','#993300']
58 x=[1,2,3,4,5] # 确定柱状图数量,可以认为是x方向刻度 这里随机找五个省份进行可视化
59 y=[city["山东"],city["黑龙江"],city["澳门"],city["吉林"],city["江苏"]] # y方向刻度
60
61 color=['red','black','peru','orchid','deepskyblue']
62 x_label=['山东','黑龙江','澳门','吉林','江苏']
63 plt.xticks(x, x_label) # 绘制x刻度标签
64 plt.bar(x, y,color=color) # 绘制y刻度标签
65
66 #设置网格刻度
67 plt.grid(True,linestyle=':',color='r',alpha=0.6)
68 plt.show()
69
70 # 3.执行主程序，得到所有好友性别
71 VisualSexpyechart(getCity("我的微信好友信息.csv"))
三、签名的情感强度值
首先将csv文件中的签名信息提取并保存到sign.txt中
1 import csv
2
3 with open('我的微信好友信息.csv','r')as csvfile:
4 reader = csv.reader(csvfile)
5 #遍历每一行数据
6 for row in reader:
7 #获取签名数据
8 signature = row[5]
9 #如果签名不为空，则保存到txt文件中
10 if signature:
11 with open('sign.txt','a')as f:
12 f.write(signature + '\n')
下面文件signEn.txt为sign.txt英文版
1 import xlrd
2 from textblob import TextBlob
3 import nltk
4 import numpy as np
5 import pandas as pd
6 from pyecharts.charts import Pie
7 import csv
8 from pyecharts import options as opts
9
10 from matplotlib import pyplot as plt
11 plt.rcParams['font.sans-serif']=['SimHei']
12 #用来正常显示中文标签
13 plt.rcParams['axes.unicode_minus']=False
14 blob
15 with open('signEn.txt', 'r') as file:
16 signatures = file.read()
17 polarity_scores = []
18 positive=0
19 negative=0
20 neutral=0
21 for signature in signatures.split('\n'):
22 blob = TextBlob(signature)
23 polarity_scores.append(blob.sentiment.polarity)
24 for i, score in enumerate(polarity_scores):
25 if score > 0: 注释部分为输出判断签名的极性
26 #print(f"Signature {i+1} is positive.")
27 positive+=1
28 elif score < 0:
29 #print(f"Signature {i+1} is negative.")
30 negative+=1
31 else:
32 #print(f"Signature {i+1} is neutral.")
33 neutral+=1
34 igsize=(6,9)
35 labels = [u'positive',u'negative',u'neutral']
36 sizes = [positive,negative,neutral]
37 colors = ['red','yellowgreen','lightskyblue']
38 explode = (0.05,0,0)
39 patches,l_text,p_text=plt.pie(sizes,explode=explode,labels=labels,colors=colors,
40 labeldistance = 1.1,autopct = '%3.1f%%',shadow = False,
41 startangle = 90,pctdistance = 0.6)
42 for t in l_text:
43 t.set_size(30)
44 for t in p_text:
45 t.set_size(20)
46 plt.axis('equal')
47 plt.legend()
48 plt.show()