Choose the chart type (e.g., mark_point() , mark_bar() , mark_line() ).
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() . altair
One of Altair's strongest features is the ability to create interactivity (like panning, zooming, and tooltips) by linking chart components.
# 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 Choose the chart type (e
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
# 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 One of Altair's strongest features is the ability
Altair allows you to transform data directly within the chart definition, such as calculating averages or sums, using mean , sum , count , etc..
