词云

 1 import pandas as pd
 2 import re #正则表达式
 3 import seaborn as sns
 4 from matplotlib import pyplot as plt
 5 import jieba  #分词
 6 import jieba.analyse
 7 import imageio #配合做词云的
 8 from wordcloud import WordCloud #词云
 9 
10 #windows 中文编码
11 plt.rcParams['font.sans-serif']='simhei'
12 plt.rcParams['axes.unicode_minus']=False
13 
14 sns.set_style("darkgrid",{"font.sans-serif":['simhei','Droid Sans Fallback']})
15 
16 plt.rcParams['font.family'] = "KaiTi"
17 data2 = pd.read_excel(r"C:\Users\Administrator\Downloads\模块三资料\模块三资料\模块三代码文件\code\综合项目(电商文本挖掘)\data\竞争数据\评论舆情数据\安速.xlsx")
18 # print(data2.columns)
19 bai6 = list(data2['评论'])
20 # print(bai6)
21 stopwords = list(pd.read_csv(r'C:\Users\Administrator\Downloads\模块三资料\模块三资料\模块三代码文件\code\综合项目(电商文本挖掘)\data\百度停用词表.txt',
22                              names=['stopwords'])['stopwords'] )#指定列名转化为列表
23 stopwords.extend([' ']) #把空格也去掉
24 print("禁用词：",stopwords)
25 print("未处理的原始数据",bai6)
26 bai61= [re.sub(r'[^a-z\u4E00-\u9Fa5]+',"",i,flags=re.I) for i in bai6]
27 print("去掉字母和中文字符",bai61)
28 bai62 = []
29 print(len(bai61))
30 for i in bai61:
31     sag1 = pd.Series(jieba.lcut(i))
32     ind1 = pd.Series([len(j)>1 for j in sag1])
33     seg2 = sag1[ind1]
34 
35     ind2 = ~seg2.isin(pd.Series(stopwords))
36     rsg3 = list(seg2[ind2].unique())
37     if len(rsg3)>0:
38         bai62.append(rsg3)
39 print(bai62)
40 lls = [u for i in bai62 for u in i]
41 print(lls)
42 # 词频统计
43 print(pd.Series(lls).value_counts())
44 # 构建词云需要的字符串
45 big_str = ''.join(lls)
46 print(big_str)
47 # 生成词云
48 #读取照片
49 mask = imageio.imread(r'C:\Users\Administrator\Downloads\模块三资料\模块三资料\模块三代码文件\code\综合项目(电商文本挖掘)\data\leaf.jpg')
50 #如果是中文的词云---字体
51 font = r'C:\Users\Administrator\Downloads\模块三资料\模块三资料\模块三代码文件\code\综合项目(电商文本挖掘)\data\SimHei.ttf'
52 wc = WordCloud(
53     background_color="white",
54     mask=mask,
55     font_path=font
56 ).generate(big_str)
57 plt.figure(figsize=(8,8))
58 plt.imshow(wc)
59 
60 plt.axis('off')#不要坐标轴
61 plt.show()
62 
63 
64 
65 print(jieba.analyse.extract_tags(big_str,20,True))

 

 

 

标签：plt,模块,词云,pd,print,import,font
来源： https://www.cnblogs.com/zhang-dan/p/15671303.html