Altair -

Install Altair using pip . It is highly recommended to work within a Jupyter notebook environment (JupyterLab, VS Code, Colab) for automatic rendering.

Use chart.validate() to check for invalid specifications. altair

This guide focuses on the for data visualization. 1. Installation & Setup Install Altair using pip

You can save your chart as a JSON file (Vega-Lite spec) or render it as an image/HTML file. chart.save('chart.html') Use code with caution. Copied to clipboard This guide focuses on the for data visualization

One of Altair's strongest features is the ability to create interactivity (like panning, zooming, and tooltips) by linking chart components.

Learn how to (e.g., lines and points)?

# Simple interactive tooltip alt.Chart(data).mark_bar().encode( x='a', y='b', tooltip=['a', 'b'] # Add tooltips on hover ).interactive() # Allow zooming/panning Use code with caution. Copied to clipboard 6. Saving Charts