Altair May 2026

This guide focuses on the for data visualization. 1. Installation & Setup

# 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

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

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

Use chart.validate() to check for invalid specifications. This guide focuses on the for data visualization

Create a specific (e.g., click a bar to filter data)?

You can refine your plot by adding titles, changing colors, and adjusting axes using .properties() and alt.Axis() . Copied to clipboard 6

import altair as alt import pandas as pd # 1. Data data = pd.DataFrame({'a': ['A', 'B', 'C'], 'b': [28, 55, 43]}) # 2. & 3. Chart + Mark + Encoding chart = alt.Chart(data).mark_bar().encode( x='a', y='b' ) # Display (if in notebook) # chart.show() Use code with caution. Copied to clipboard 3. Data Transformation & Aggregation