What is the method of generating python word cloud map?
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I. Online generation of word cloud pictures
1. Enter https://wordart.com/create;2. Import text keywords;3. Select the cloud shape of the word;4. Select the font. Since the default font is English, to generate Chinese fonts, you need to add fonts in C:\windows\Fonts. You can select elegant black fonts. Click Add Font to add;5. Select the direction of the text, select the direction of the text;6. Click Visualize to generate the word cloud map;7. Click Download and Share to download the picture.
II. Public opinion analysis of buyer evaluation
import pandas as pdfrom pyecharts import WordCloudwd=pd.read_csv("cp.csv",header=0)wd.head()
catename=[i[0]for i in wd[["key word"]].values]value=[int(i[0])for i in wd[["word frequency"].values]wordcloud=WordCloud(width=1200,height=600)wordcloud.add("",catename,value,word_size_range=[10,100],shape='star')
III. Text Word Cloud Map
Import text data and plot.
filename = "wang.txt"mytext = open(filename).read()mytext
from wordcloud import WordCloudmycloud = WordCloud().generate(mytext)mycloudimport matplotlib.pyplot as pltplt.rcParams <$'font.sans-serif'] =<$'SimHei']#Chinese文版mycloud = WordCloud(font_path = 'simsun. ttc', collocations=False).generate(mytext) #Solve duplicate problems %config InBacklineend.figure_format='svg'#Vector diagram display, solve unclear picture problems plt.imshow(mycloud)
plt.imshow(mycloud)plt.axis ('off ') #Remove axis plt.show()
Replace background image, code encapsulation.
from wordcloud import WordCloudimport matplotlib.pyplot as pltimport imageio
filename = "Python.txt"mytext = open(filename).read()
picture = imageio.imread('people.jpg')
mycloud = WordCloud( background_color = 'white',#background color max_words = 20000, #Maximum number of words mask = picture, #Draw word cloud with this parameter value, width and height will be ignored max_font_size = 30, #Display the maximum font size font_path = 'simsun.ttc', #Solve the problem of displaying squiggly characters collocations=False, Avoid repeating words ).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()
Place this background image under the path. It is recommended to choose a solid background image.
The resulting effect is as follows:
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