Learn how to (e.g., lines and points)?
Altair is a declarative statistical visualization library for Python, built on the powerful Vega and Vega-Lite grammar. It allows you to create interactive, informative charts using a consistent API, where you describe the links between data columns and visual encoding channels (like x-axis, y-axis, color, size) rather than explicitly coding drawing commands.
Altair allows you to transform data directly within the chart definition, such as calculating averages or sums, using mean , sum , count , etc.. altair
You can save your chart as a JSON file (Vega-Lite spec) or render it as an image/HTML file. chart.save('chart.html') Use code with caution. Copied to clipboard
Altair works best with tidy data—long-form data where each row is an observation and each column is a variable. Learn how to (e
Choose the chart type (e.g., mark_point() , mark_bar() , mark_line() ).
# 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 Altair allows you to transform data directly within
You can refine your plot by adding titles, changing colors, and adjusting axes using .properties() and alt.Axis() .