Python数据挖掘05--词云(wordcloud)找出老九门中热门词语

import wordcloud as wc  # 词云模块
import matplotlib.pylab as plb
import pandas as pda
import jieba  # jieba模块 分解词语
from PIL import Image
from numpy import array

path = "C:/Users/Administrator/Desktop/老九门.txt"
data = open(path, "r", encoding="gbk").read()  # 读取txt小说文件
cutdata = jieba.cut(data)  # 将文本分割成词语

alldata = ""
for i in cutdata:  # 词语进行循环拼接
alldata = alldata + " " + str(i)

font = r"C:\WINDOWS\Fonts\simhei.ttf"
# 打开图片
cat = Image.open("C:/Users/Administrator/Desktop/cat.png")
catarray = array(cat)  # 将读取的图片转化成数组

# 使用WordCloud方法
oldwc = wc.WordCloud(mask=catarray, collocations=False,  # mask展示形状，background_color背景颜色
font_path=font, background_color="white"
).generate(data)
plb.imshow(oldwc)
plb.show()