#!/usr/bin/env python
“””
Derived from the minimal word cloud plotting example from
the word cloud GIT repo:
https://github.com/amueller/word_cloud
WordCloud by Andreas Mueller
“””
from os import path
from wordcloud import WordCloud
d = path.dirname(__file__)
# Read the whole text.
for cc in range(5):
name=”centers_”+str(cc)+”.txt”
text = open(path.join(d, name)).read()
# Generate a word cloud image
wordcloud = WordCloud(collocations=False).generate(text)
# Display the generated image:
# the matplotlib way:
import matplotlib.pyplot as plt
# Display with unbound font size
plt.imshow(wordcloud, interpolation=’bilinear’)
plt.axis(“off”)
# lower max_font_size
# wordcloud = WordCloud(max_font_size=40).generate(text)
# plt.figure()
# plt.imshow(wordcloud, interpolation=”bilinear”)
# plt.axis(“off”)
plt.show()