How to Install and Fix WordCloud in Python for Chinese Text Visualization

1. Installing WordCloud

Before using WordCloud, install the required packages with pip:

pip install WordCloud
pip install jieba

WordCloud generates word clouds, while jieba provides Chinese word segmentation.

If you encounter the error “error: Microsoft Visual C++ 9.0 is required”, download and install VCForPython27 (Microsoft Visual C++ Compiler for Python 2.7). A CSDN download link is provided.

2. Simple Word Cloud Example

The following example demonstrates how to generate a basic word cloud from Chinese text. WordCloud visualizes high‑frequency keywords as a colorful cloud.

# example code (illustrative)
from wordcloud import WordCloud
import jieba

text = "your Chinese text here"
words = " ".join(jieba.cut(text))
wc = WordCloud(font_path='msyh.ttf', width=800, height=400).generate(words)
wc.to_file('wordcloud.png')

3. Fixing Chinese Font Issues

After installation, the default font (DroidSansMono.ttf) does not support Chinese characters. Edit wordcloud.py and change the FONT_PATH to point to a Chinese font such as msyh.ttf (Microsoft YaHei).

Place the msyh.ttf file in the same directory as wordcloud.py so the library can load it.

wordcloud = WordCloud(font_path='MSYH.TTF').fit_words(word)

4. Word Cloud with Image Background

You can create a word cloud shaped by a background image (e.g., sss3.png). The core code loads the image as a mask and generates the cloud.

# illustrative code
from wordcloud import WordCloud
import numpy as np
from PIL import Image

mask = np.array(Image.open('sss3.png'))
wc = WordCloud(mask=mask, font_path='msyh.ttf').generate(words)
wc.to_file('cloud_with_image.png')

Running the above steps produces word clouds that can visualize topics from CSDN blog posts, chat records, and other Chinese text sources.

For more advanced usage, refer to the original blog and the author's WeChat live broadcast.