Objects.Plot.Layout

import seaborn.objects as so

Control the overall dimensions of the figure with size:

p = so.Plot().layout(size=(4, 4))
p

p.facet(["A", "B"], ["X", "Y"])

You may find that different automatic layout engines give better or worse results with specific plots:

p.facet(["A", "B"], ["X", "Y"]).layout(engine="constrained")

With extent, you can control the size of the plot relative to the underlying figure. Because the notebook display adapts the figure background to the plot, this appears only to change the plot size in a notebook context. But it can be useful when saving or displaying through a pyplot GUI window:

p.layout(extent=[0, 0, .8, 1]).show()