ساخت ابر برچسب در پایتون — به زبان ساده

1from wordcloud import WordCloud, STOPWORDS
2from PIL import Image
3import numpy as np
4import urllib
5import requests
6import matplotlib.pyplot as plt

1python -m pip install wordcloud

1./anaconda3/lib/python3.6/site-packages/PIL/Image.py

1if PILLOW_VERSION != getattr(core, ‘PILLOW_VERSION’, None):
2 raise ImportError(“The _imaging extension was built for another “
3 “version of Pillow or PIL:\n”
4 “Core version: %s\n”
5 “Pillow version: %s” %
6 (getattr(core, ‘PILLOW_VERSION’, None),
7 PILLOW_VERSION))

1if core.PILLOW_VERSION != getattr(core, ‘PILLOW_VERSION’, None):
2 raise ImportError(“The _imaging extension was built for another “
3 “version of Pillow or PIL:\n”
4 “Core version: %s\n”
5 “Pillow version: %s” %
6 (getattr(core, ‘PILLOW_VERSION’, None),
7 PILLOW_VERSION))

1words = 'access guest guest apartment area area bathroom bed bed bed bed bed bedroom block coffee coffee coffee coffee entrance entry francisco free garden guest home house kettle kettle kitchen kitchen kitchen kitchen kitchen kitchen living located microwave neighborhood new park parking place privacy private queen room san separate separate shared space space space street suite time welcome'

1mask = np.array(Image.open(requests.get(‘http://www.clker.com/cliparts/O/i/x/Y/q/P/yellow-house-hi.png', stream=True).raw))

1def generate_wordcloud(words, mask):
2    word_cloud = WordCloud(width = 512, height = 512, background_color='white', stopwords=STOPWORDS, mask=mask).generate(words)
3    plt.figure(figsize=(10,8),facecolor = 'white', edgecolor='blue')
4    plt.imshow(word_cloud)
5    plt.axis('off')
6    plt.tight_layout(pad=0)
7    plt.show()

1generate_wordcloud(words, mask)

1from wordcloud import WordCloud, STOPWORDS
2from PIL import Image
3import urllib
4import requests
5import numpy as np
6import matplotlib.pyplot as plt
7
8words = 'access guest guest apartment area area bathroom bed bed bed bed bed bedroom block coffee coffee coffee coffee entrance entry francisco free garden guest home house kettle kettle kitchen kitchen kitchen kitchen kitchen kitchenliving located microwave neighborhood new park parking place privacy private queen room san separate seperate shared space space space street suite time welcome'
9mask = np.array(Image.open(requests.get('http://www.clker.com/cliparts/O/i/x/Y/q/P/yellow-house-hi.png', stream=True).raw))
10
11# This function takes in your text and your mask and generates a wordcloud. 
12def generate_wordcloud(words, mask):
13    word_cloud = WordCloud(width = 512, height = 512, background_color='white', stopwords=STOPWORDS, mask=mask).generate(words)
14    plt.figure(figsize=(10,8),facecolor = 'white', edgecolor='blue')
15    plt.imshow(word_cloud)
16    plt.axis('off')
17    plt.tight_layout(pad=0)
18    plt.show()
19    
20#Run the following to generate your wordcloud
21generate_wordcloud(words, mask)