pyecharts模块较matplotlib模块与seaborn模块的优点

1. Interactivity: pyecharts allows users to create interactive charts that can be easily embedded in web pages or applications, while matplotlib and seaborn are primarily designed for static visualizations.

2. Diverse chart types: pyecharts offers a wide range of chart types including bar, line, scatter, pie, and more, whereas matplotlib and seaborn are limited to a few basic chart types.

3. Built-in themes: pyecharts provides a variety of built-in themes that can be easily applied to charts, while matplotlib and seaborn require more effort to customize the appearance of charts.

4. Simplified syntax: pyecharts has a simpler and more intuitive syntax compared to matplotlib and seaborn, making it easier for users to create complex visualizations.

5. Easy data manipulation: pyecharts offers built-in data manipulation functions that allow users to easily manipulate and transform data for visualization, whereas matplotlib and seaborn require more manual data preprocessing.

6. Easy data integration: pyecharts offers seamless integration with popular data analysis libraries like pandas, making it easy to import and use data for visualization.