matplotlib.axes.Axes.set_aspect#

Axes.set_aspect(aspect, adjustable=None, anchor=None, share=False)[source]#

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.

Examples using `matplotlib.axes.Axes.set_aspect`#

Bar chart with gradients

Tricontour Demo

Tricontour Smooth Delaunay

Tricontour Smooth User

Controlling view limits using margins and sticky_edges

Scatter Histogram (Locatable Axes)

Simple Anchored Artists

axis_direction demo

Simple Axis Pad

The double pendulum problem

Anchored Artists

Rasterization for vector graphics

3D surface (solid color)

3D voxel plot of the numpy logo

3D voxel / volumetric plot with rgb colors

Loglog Aspect

Annotate Text Arrow

Arranging multiple Axes in a Figure

Transformations Tutorial

Colormap Normalization

matplotlib.axes.Axes.set_aspect#

Examples using matplotlib.axes.Axes.set_aspect#

Examples using `matplotlib.axes.Axes.set_aspect`#