Altair | Newest |

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

# 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 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

Altair works best with tidy data—long-form data where each row is an observation and each column is a variable. Saving Charts Install Altair using pip

If your data relies on a pandas index, use .reset_index() before passing it to Altair.

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() .