Python实例：政府工作报告词云

问题分析

直观理解政策文件

实例解析

基本思路

步骤1：读取文件、分词整理

步骤2：设置并输出词云

步骤3：观察结构，优化迭代

具体代码：

#GovRptWordCloudv1.py
import jieba
import wordcloud
f = open("新时代中国特色社会主义.txt","r",encoding="utf-8")
t = f.read()
f.close()
ls = jieba.lcut(t)
txt = " ".join(ls)
w = wordcloud.WordCloud(font_path = "msyh.ttc",\
                        width=1000,height = 700,\
                        background_color="white",\
                        )
w.generate(txt)
w.to_file("grwordcloud.png")

运行结果：

在这段代码中生成词云对象时，增加max_words=15

结果为：

更有形的词云

具体代码：

#GovRptWordCloudv2.py
import jieba
import wordcloud
from scipy.misc import imread
mask = imread("chinamap.jpg")
excludes = { }
f = open("新时代中国特色社会主义.txt", "r", encoding="utf-8")
t = f.read()
f.close()
ls = jieba.lcut(t)
txt = " ".join(ls)
w = wordcloud.WordCloud(\
    width = 1000, height = 700,\
    background_color = "white",
    font_path = "msyh.ttc", mask = mask
    )
w.generate(txt)
w.to_file("grwordcloudm.png")

运行结果：