Create a One Piece‑Inspired Word Cloud with Python, Jieba, and WordCloud
This tutorial guides readers with basic programming experience through using Python 3 in Jupyter to extract keywords from One Piece lyrics with jieba, and then generate a Chopper‑shaped word cloud using matplotlib and the wordcloud library, covering required dependencies and step‑by‑step code.
This tutorial is suitable for learners with some programming experience, using Python 3 and Jupyter for interactive development.
The Python fundamentals covered include:
Variable and function definition and usage
Lists, dictionaries, and other data structures
Conditional and loop statements such as if and for Module import syntax
Required libraries to install:
jupyter – interactive notebook
matplotlib – 2D plotting library
jieba – Chinese word segmentation
pillow – image processing
wordcloud – word‑cloud generation
Goal
Extract keywords from One Piece song lyrics and generate a word cloud shaped like the character Chopper, as shown below.
1. Prepare Data
a. Fifteen lyric text files have been placed in a local data directory.
b. After confirming the raw data, a function is implemented to iterate over all files in the data folder.
c. Use jieba to extract keywords.
2. Generate Word Cloud
A background image of Chopper from One Piece is used to shape the word cloud.
Final result:
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