Create Stunning Word Clouds in Python: Step‑by‑Step Guide with WordCloud Library

Introduction

Hello, I'm Huang Wei. A word cloud visualizes the most frequent keywords in a text, highlighting them for quick insight.

1. Installing the wordcloud module

pip install wordcloud

2. Importing and initializing the WordCloud object

Import the library and create a WordCloud instance, optionally specifying a custom font.

import wordcloud
wc = wordcloud.WordCloud(font_path=r'C:\Windows\Fonts\华康少女文字简W5.ttc', width=200, height=100)  # initialization

3. Adding text to the word cloud

Generate the cloud from a string.

wc.generate('任性的90后boy')

4. Saving and displaying the word cloud

Save the image to a file.

wg.to_file('gf.jpg')

5. Changing the background color

wordcloud.WordCloud(font_path=r'C:\Windows\Fonts\华康少女文字简W5.ttc', width=200, height=100, background_color="gray")

6. Customizing colors with ImageColorGenerator

Use a background image to derive colors.

from wordcloud import ImageColorGenerator, WordCloud as wc
from PIL import Image
import numpy as n
ff = open('OSI.txt','r',encoding='utf-8').read()
bg = n.array(Image.open('g.png'))
w = wc(font_path=r'C:\Windows\Fonts\华康少女文字简W5.ttc', mode='RGBA', mask=bg, repeat=True, background_color='#FFFFFF')
wg = w.generate(ff)
ig = ImageColorGenerator(bg)
wg.recolor(color_func=ig)
wg.to_file('gf.png')

7. Using stopwords

Exclude specific words from the cloud.

sd = STOPWORDS.add('Control')
wc = WordCloud(font_path=r'C:\Windows\Fonts\华康少女文字简W5.ttc', mode='RGBA', mask=bg, width=500, height=300, repeat=True, stopwords=sd, background_color='#FFFFFF')

8. Extending with Pillow and matplotlib

Open and display the generated image.

im = wordcloud.wordcloud.Image.open('q.jpg')
im.show()

Conclusion

Word clouds provide a simple way to visualize the proportion of terms in a text, serving as an intuitive data‑analysis tool.