文本内容：data（包含很多条文本）

1、分词：

import jieba
data_cut = data.apply(jieba.lcut)

2、去除停用词：

stoplist.txt：链接：https://pan.baidu.com/s/1lN1J8aUFOwqXpYMzuqVA7w  提取码：nk7z 

with open(r'D:\数据文件\stoplist.txt', encoding='utf-8') as f:
    txt = f.read()
stop = txt.split()
stop = stop + [' ']   #把空格加进去
data_after = data_cut.apply(
lambda x : [i for i in x if i not in stop]
)

3、

from tkinter import _flatten
tmp = pd.Series(_flatten(list(data_after)))   #把二维变成一维
num = tmp.value_counts()

4、绘制

from wordcloud import WordCloud
import matplotlib.pyplot as plt  

pic = plt.imread(r'D:\数据文件\aixin.jpg')
wc = WordCloud(
    background_color='white',
    mask=pic,
    font_path=r'C:/Windows/Fonts/simsun.ttc')
wc2 = wc.fit_words(num)
plt.imshow(wc2)
plt.axis('off')
plt.show()