NOTE: Before running this notebook, be sure to place your copy of RomeoAndJuliet.txt in the same folder as the notebook.
wordcloud
module’s WordCloud
class conda install -c conda-forge wordcloud
from pathlib import Path
text = Path('RomeoAndJuliet.txt').read_text()
WordCloud
fills non-white areas of a mask image with textimread
function from the imageio
module that comes with Anacondaimport imageio
mask_image = imageio.imread('mask_heart.png')
width
and height
width
and height
, WordCloud
uses the image’s sizeWordCloud
assigns random colors from a color mapWordCloud
’s keyword argumentsfrom wordcloud import WordCloud
wordcloud = WordCloud(width=1000, height=1000,
colormap='prism', mask=mask_image, background_color='white')
WordCloud
’s generate
method receives the text to use in the word cloud as an argument and creates the word cloud, which it returns as a WordCloud
objectwordcloud = wordcloud.generate(text)
text
argument, using the wordcloud
module’s built-in stop-words listmax_words
keyword argumentwordcloud = wordcloud.to_file('RomeoAndJulietHeart.png')
WordCloud
’s fit_words
method can create a word cloud from it, but does not remove the stop words from the dictionary%matplotlib inline
import matplotlib.pyplot as plt
plt.imshow(wordcloud)
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