Altair May 2026

Map data columns to visual properties (e.g., .encode(x='column1', y='column2') ). Example: Simple Bar Chart

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

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 Map data columns to visual properties (e

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