Use chart.validate() to check for invalid specifications.
Altair works best with tidy data—long-form data where each row is an observation and each column is a variable.
Altair allows you to transform data directly within the chart definition, such as calculating averages or sums, using mean , sum , count , etc.. altair
Create a specific (e.g., click a bar to filter data)?
alt.Chart(data).mark_bar().encode( x=alt.X('a', title='Category'), y=alt.Y('b', title='Value'), color='a' # Color by category ).properties( title='My First Altair Chart', width=400, height=300 ) Use code with caution. Copied to clipboard 5. Interaction Use chart
Learn how to (e.g., lines and points)?
# Create a bar chart with the average of column 'b' alt.Chart(data).mark_bar().encode( x='a', y='mean(b)' # Aggregation ) Use code with caution. Copied to clipboard 4. Customizing Your Visualization Create a specific (e
If your data relies on a pandas index, use .reset_index() before passing it to Altair.
