What is WordCloud? Many times you might have seen a cloud filled with lots of words in different sizes, which represent the frequency or the importance of each word. This is called Tag Cloud or WordCloud.
Prerequisites If you want to create a world cloud in your notebook, you will need to install some packages below:
- numpy
- matplotlib
- PIL
- wordcloud
How to import the necessary module
from wordcloud import WordCloud, ImageColorGenerator
import matplotlib.pyplot as plt
from PIL import Image
import numpy as np
Where we see two new items:
- WordCloud — base class to generate the word-cloud image
- ImageColorGenerator — base class to recolor the words in the word-cloud image
Don’t forget to find a text We’ll need a few sentences of text as input for the word cloud.
text = ""
with open('example.txt', encoding='utf-8') as f:
text = ''.join(f.readlines())
Create and initialize a WordCloud object
wc = WordCloud()
Once you’ve created a WordCloud object, you can call the built-in generate function to generate a word cloud. We’ll pass in the text variable as an input to the function.
wc.generate(text)
Or you can display it in Jupyter Notebook via the functions in Matplotlib.
plt.imshow(wc, interpolation='bilinear')
plt.axis("off")
plt.show()
And you should see something like this:
