matplotlib.axes.Axes.set_aspect

Axes.set_aspect(aspect, adjustable=None, anchor=None, share=False)

Set the aspect ratio of the axes scaling, i.e. y/x-scale.

Parameters

aspect{'auto', 'equal'} or float

Possible values:

• 'auto': fill the position rectangle with data.

• 'equal': same as aspect=1, i.e. same scaling for x and y.

• float: The displayed size of 1 unit in y-data coordinates will be aspect times the displayed size of 1 unit in x-data coordinates; e.g. for aspect=2 a square in data coordinates will be rendered with a height of twice its width.

adjustableNone or {'box', 'datalim'}, optional

If not None, this defines which parameter will be adjusted to meet the required aspect. See set_adjustable for further details.

anchorNone or str or (float, float), optional

If not None, this defines where the Axes will be drawn if there is extra space due to aspect constraints. The most common way to to specify the anchor are abbreviations of cardinal directions:

value	description
'C'	centered
'SW'	lower left corner
'S'	middle of bottom edge
'SE'	lower right corner
etc.

See set_anchor for further details.

sharebool, default: False

If True, apply the settings to all shared Axes.

See also

matplotlib.axes.Axes.set_adjustable

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

matplotlib.axes.Axes.set_anchor

Set the position in case of extra space.

Examples using matplotlib.axes.Axes.set_aspect

Bar chart with gradients

Streamplot

Tricontour Demo

Tricontour Smooth Delaunay

Tricontour Smooth User

Trigradient Demo

Tripcolor Demo

Triplot Demo

Axes box aspect

Controlling view limits using margins and sticky_edges

Placing Colorbars

Multiline

Mmh Donuts!!!

Inset Locator Demo2

Scatter Histogram (Locatable Axes)

Simple Anchored Artists

axis_direction demo

Simple Axis Pad

The double pendulum problem

Anchored Artists

Rasterization for vector graphics

Loglog Aspect

Annotate Text Arrow

Transformations Tutorial

Colormap Normalization