Master ECharts: Quick Guide to JavaScript & Python Visualization in 5 Minutes
This article introduces Baidu's open‑source ECharts library, walks through installing the JavaScript package, embedding it in a web page, and demonstrates using the Python ECharts API to create interactive charts, while highlighting key setup notes and resources.
ECharts is an open‑source JavaScript chart library from Baidu that runs smoothly on PC and mobile browsers, built on the lightweight Canvas engine ZRender and supporting extensive customization.
Official site: http://echarts.baidu.com/
ECharts basic usage
1. Install a web server on a Linux machine. 2. Download the echarts.min.js file from the official download page.
Download link: http://echarts.baidu.com/download.html3. Copy echarts.min.js to the web root directory (same folder as index.html).
4. Include the script in an HTML page:
<script src="echarts.min.js"></script>Note: echarts.min.js must reside in the same directory as index.html or be referenced with an absolute path.
5. Create a simple chart using the ECharts API (example code and screenshots illustrate the result).
Python ECharts API
1. Install the echarts-python package: pip install echarts-python 2. Use the Python API to generate chart options and render them with ECharts (illustrated by screenshots).
3. Example script and its output are shown in the following images.
This article only demonstrates a basic Python + ECharts integration; for more advanced visualizations, refer to the official option documentation.
Official options reference: http://echarts.baidu.com/option.html#title
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