Can Plt Subplots Figsize Set Different Subplot Sizes?

2025-09-04 19:20:36 400
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3 Answers

Julia
Julia
2025-09-06 08:09:04
Totally—yes, but not by using figsize on each subplot directly. Figsize controls the overall figure canvas size (the whole window or saved image), not individual axes. If you want subplots with different widths or heights, I usually reach for GridSpec-style tools or explicit axes placement.

In practice I do something like this: plt.subplots(figsize=(10,6), gridspec_kw={'width_ratios':[3,1]}) to make the left plot three times wider than the right one. For more control I create a GridSpec: gs = fig.add_gridspec(2,2, width_ratios=[2,1], height_ratios=[1,2]) and then use fig.add_subplot(gs[0,0]) and so on. If I need pixel-precise placement, fig.add_axes([left, bottom, width, height]) with normalized coordinates (0–1) is my go-to. There are also helpers like make_axes_locatable or inset_axes if you want a small inset plot or colorbar region attached to a main axis.

A couple of practical tips from projects where I fussed over layouts: use gridspec_kw with plt.subplots for quick proportional layouts, try constrained_layout=True or fig.tight_layout() to avoid overlaps, and remember that aspect and axis labels can change perceived sizes. For interactive tweaking, I often use notebook sliders or tiny scripts that print axis.get_position() so I can fine-tune left/right values. Happy plotting — once you get the grid ratios right, it feels like arranging panels in a comic strip, which always makes me smile.
Julia
Julia
2025-09-06 17:59:37
I like thinking about this visually: imagine arranging panels on a page of manga, some tall and skinny, others wide and cinematic. Figsize sets the size of the whole page; it doesn't let you stamp different sizes onto each panel. To make different subplot sizes you have to control the grid or place axes manually.

A simple, friendly approach is to pass gridspec_kw to plt.subplots, for instance gridspec_kw={'height_ratios':[1,2], 'width_ratios':[3,1]}. That makes rows and columns scale differently while you still get the convenience of plt.subplots. If you want absolute control, fig.add_axes([x0, y0, w, h]) uses fractional coordinates and feels like pasting sticky notes onto a canvas. For more complex nesting, use GridSpec and GridSpecFromSubplotSpec to compose sub-grids. Colorbars and insets are easier with make_axes_locatable from mpl_toolkits.axes_grid1.

One gotcha I ran into: when saving figures, figsize combined with DPI affects final pixel sizes, so test with fig.savefig(..., dpi=...) to be sure your subplots look as intended. I often iterate: tweak ratios, enable constrained_layout, save, and repeat until the composition reads well, kind of like adjusting panels until the eye flows naturally across the page.
Scarlett
Scarlett
2025-09-10 09:35:15
Short version: figsize sets the overall figure dimensions, not individual subplot sizes. If you want different subplot sizes you have to control the layout: use gridspec (or gridspec_kw in plt.subplots) with width_ratios and height_ratios, or place axes manually with fig.add_axes([left, bottom, width, height]). For example,

fig, axs = plt.subplots(1,2, figsize=(8,4), gridspec_kw={'width_ratios':[3,1]})

creates a big left plot and a smaller right plot. For more granular control use mpl.gridspec.GridSpec or fig.add_gridspec to slice the figure into unequal cells. If you need precise alignment for colorbars or inset plots, look at make_axes_locatable and inset_axes. Also remember constrained_layout or tight_layout to avoid label collisions; DPI when saving will affect final pixel sizes, so test at the target resolution. That's the practical set of tools I use when sculpting non-uniform subplot layouts.
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