数据词云(wordcloud)

import pandas as pd
import numpy as np
from pandas import Series
from pandas import  DataFrame
from wordcloud import WordCloud,ImageColorGenerator
import matplotlib.pyplot as plt
import  jieba
from PIL import Image

df =pd.read_csv('ZHILIAN_SPIDER.csv',header=None,index_col=False,names=[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17])

b=df[15]
c=[ str(i).replace('元/月','').replace('以下','').replace('以上','').split('-') for i in b if i !='面议']
d=[ float(ii) for i in c for ii in i if ii !='nan']
avg=sum(d)/len(d)

#wordcloud生成词云
a=str(df[16])

'''
#普通版
cut_text = " ".join(jieba.cut(a)) #分词
wordcloud = WordCloud(font_path="C:/Windows/Fonts/simfang.ttf",background_color="white",width=860, height=860, margin=2).generate(cut_text )
plt.imshow(wordcloud,interpolation="bilinear")
plt.axis("off")
plt.show()
wordcloud.to_file('test1.png')
'''

#图像模仿版
path_img = r"1.jpg"
background_image = np.array(Image.open(path_img))
cut_text = " ".join(jieba.cut(a)) #分词
# 设置字体，不然会出现口字乱码，文字的路径是电脑的字体一般路径，可以换成别的
# mask参数=图片背景，必须要写上，另外有mask参数再设定宽高是无效的
wordcloud = WordCloud(font_path="C:/Windows/Fonts/simfang.ttf",background_color="white",mask=background_image).generate(cut_text)
# 生成颜色值
image_colors = ImageColorGenerator(background_image)
# 下面代码表示显示图片
plt.imshow(wordcloud.recolor(color_func=image_colors), interpolation="bilinear")
plt.axis("off")
plt.show()
wordcloud.to_file('test2.png')

原文地址：https://www.cnblogs.com/xdlzs/p/11534392.html