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 willbeaspect times the displayed size of 1 unit in x-datacoordinates; e.g. for
aspect=2a square in data coordinateswill be rendered with a height of twice its width.
- adjustableNone or {'box', 'datalim'}, optional
If not
None, this defines which parameter will be adjusted tomeet the required aspect. Seeset_adjustablefor furtherdetails.- anchorNone or str or (float, float), optional
If not
None, this defines where the Axes will be drawn if thereis extra space due to aspect constraints. The most common wayto 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_anchorfor further details.- sharebool, default: False
If
True, apply the settings to all shared Axes.
See also
matplotlib.axes.Axes.set_adjustableSet how the Axes adjusts to achieve the required aspect ratio.
matplotlib.axes.Axes.set_anchorSet the position in case of extra space.
Examples usingmatplotlib.axes.Axes.set_aspect#
Align histogram to scatter plot using locatable Axes
Controlling view limits using margins and sticky_edges
