import pandas as pd
from pyecharts import WordCloud
wd=pd.read_csv("cp.csv",header=0)
wd.head()

catename=[i[0]for i in wd[["关键词"]].values]
value=[int(i[0])for i in wd[["词频"]].values]wordcloud=WordCloud(width=1200,height=600)
wordcloud.add("",catename,value,word_size_range=[10,100],shape='star')

filename = "wang.txt"
mytext = open(filename).read()
mytext

from wordcloud import WordCloud
mycloud = WordCloud().generate(mytext)
mycloud
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']  # 中文显示
mycloud = WordCloud(font_path = 'simsun.ttc', collocations=False).generate(mytext) #解决重复问题%
config InlineBackend.figure_format='svg'#矢量图显示，解决图片不清晰问题
plt.imshow(mycloud)

plt.imshow(mycloud)plt.axis('off') #去除坐标轴
plt.show()

from wordcloud import WordCloud
import matplotlib.pyplot as plt
import imageio
filename = "Python.txt"
mytext = open(filename).read()
picture = imageio.imread('people.jpg')
mycloud = WordCloud(  background_color = 'white',  # 背景颜色                max_words = 20000,           # 最大词数                mask = picture,              # 以该参数值作图绘制词云width和height会被忽略                max_font_size = 30,          # 显示字体的最大值                font_path = 'simsun.ttc',    # 解决显示口字型乱码问题                collocations=False,          # 避免词重复               ).generate(mytext)
plt.imshow(mycloud)
plt.axis('off')
plt.savefig('new.jpg',dpi=1000,edgecolor='blue',transparent=True, bbox_inches='tight', quality=95)
plt.show()