matplotlib 3.5.1

NotesParametersBackRef
set_adjustable(self, adjustable, share=False)

Notes

Shared Axes (of which twinned Axes are a special case) impose restrictions on how aspect ratios can be imposed. For twinned Axes, use 'datalim'. For Axes that share both x and y, use 'box'. Otherwise, either 'datalim' or 'box' may be used. These limitations are partly a requirement to avoid over-specification, and partly a result of the particular implementation we are currently using, in which the adjustments for aspect ratios are done sequentially and independently on each Axes as it is drawn.

Parameters

adjustable : {'box', 'datalim'}

If 'box', change the physical dimensions of the Axes. If 'datalim', change the x or y data limits.

share : bool, default: False

If True , apply the settings to all shared Axes.

Set how the Axes adjusts to achieve the required aspect ratio.

See Also

matplotlib.axes.Axes.set_aspect

For a description of aspect handling.

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

matplotlib.axes._base._AxesBase.set_aspect

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


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