Plots Pane

View, explore, and manage plots from your Python or R session. Navigate plot history, zoom, copy, and save visualizations in multiple formats.

The Plots Pane displays visualizations generated from your Python or R session and by default, is located in the Secondary Side Bar.

Opening the Plots Pane

If the Plots Pane is not already displayed, you can access it via:

Clicking View > Plots from the menu bar
Running Session: Focus on Plots View from the Command Palette

Viewing plots

When you create a plot in Python or R, it automatically appears in the Plots Pane. The pane maintains a history of all plots generated during your session, allowing you to navigate back and forth between them.

Zooming

You can zoom in on plots to examine details more closely. Use the zoom controls in the toolbar or open your plot in an editor tab or a new window.

Saving and exporting plots

The Plots Pane provides several options for saving and sharing your visualizations.

Copy plot to clipboard: Copy the current plot to your clipboard for pasting into other applications
Save plot: Export the plot to a file in various formats (PNG, SVG, PDF, etc.)

Plots gallery

To pop the whole Plots Pane UI to a separate auxiliary window, either run the command Plots: Open Plots Gallery in New Window or click from the Plots Pane action bar.

Plots settings

Key settings control how you interact with your data visualizations.

plots.defaultSizingPolicy: The default sizing policy to use for newly created plots
plots.darkFilter: Use a color filter to make light plots appear dark
plots.freezeSlowPlots: Freeze slow-to-generate plots at a fixed size to avoid rendering repeatedly on viewport changes
plots.historyPolicy: When the plot history filmstrip is visible