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matplotlib.pyplot.axes

matplotlib.pyplot.axes(arg=None, **kwargs) [source]

Add an axes to the current figure and make it the current axes.

Call signatures:

plt.axes()
plt.axes(rect, projection=None, polar=False, **kwargs)
plt.axes(ax)

Parameters:

arg : { None, 4-tuple, Axes }

The exact behavior of this function depends on the type:

None: A new full window axes is added using subplot(111, **kwargs)
4-tuple of floats rect = [left, bottom, width, height]. A new axes is added with dimensions rect in normalized (0, 1) units using add_axes on the current figure.
Axes: This is equivalent to pyplot.sca. It sets the current axes to arg. Note: This implicitly changes the current figure to the parent of arg.

Note

The use of an axes.Axes as an argument is deprecated and will be removed in v3.0. Please use pyplot.sca instead.

projection : {None, 'aitoff', 'hammer', 'lambert', 'mollweide', 'polar', 'rectilinear', str}, optional

The projection type of the Axes. str is the name of a costum projection, see projections. The default None results in a 'rectilinear' projection.

polar : boolean, optional

If True, equivalent to projection='polar'.

sharex, sharey : Axes, optional

Share the x or y axis with sharex and/or sharey. The axis will have the same limits, ticks, and scale as the axis of the shared axes.

label : str

A label for the returned axes.

Returns:

axes : Axes (or a subclass of Axes): The returned axes class depends on the projection used. It is Axes if rectilinear projection are used and projections.polar.PolarAxes if polar projection are used.

Other Parameters:

**kwargs

This method also takes the keyword arguments for the returned axes class. The keyword arguments for the rectilinear axes class Axes can be found in the following table but there might also be other keyword arguments if another projection is used, see the actual axes class.

Property	Description
`adjustable`	{'box', 'datalim'}
`agg_filter`	a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
`alpha`	float
`anchor`	2-tuple of floats or {'C', 'SW', 'S', 'SE', ...}
`animated`	bool
`aspect`	{'auto', 'equal'} or num
`autoscale_on`	bool
`autoscalex_on`	bool
`autoscaley_on`	bool
`axes_locator`	Callable[[Axes, Renderer], Bbox]
`axisbelow`	bool or 'line'
`clip_box`	`Bbox`
`clip_on`	bool
`clip_path`	[(`Path`, `Transform`) \| `Patch` \| None]
`contains`	callable
`facecolor`	color
`fc`	color
`figure`	`Figure`
`frame_on`	bool
`gid`	str
`in_layout`	bool
`label`	object
`navigate`	bool
`navigate_mode`	unknown
`path_effects`	`AbstractPathEffect`
`picker`	None or bool or float or callable
`position`	[left, bottom, width, height] or `Bbox`
`rasterization_zorder`	float or None
`rasterized`	bool or None
`sketch_params`	(scale: float, length: float, randomness: float)
`snap`	bool or None
`title`	str
`transform`	`Transform`
`url`	str
`visible`	bool
`xbound`	(lower: float, upper: float)
`xlabel`	str
`xlim`	(left: float, right: float)
`xmargin`	float greater than -0.5
`xscale`	{"linear", "log", "symlog", "logit", ...}
`xticklabels`	List[str]
`xticks`	list
`ybound`	(lower: float, upper: float)
`ylabel`	str
`ylim`	(bottom: float, top: float)
`ymargin`	float greater than -0.5
`yscale`	{"linear", "log", "symlog", "logit", ...}
`yticklabels`	List[str]
`yticks`	list
`zorder`	float

Notes

If the figure already has a axes with key (args, kwargs) then it will simply make that axes current and return it. This behavior is deprecated. Meanwhile, if you do not want this behavior (i.e., you want to force the creation of a new axes), you must use a unique set of args and kwargs. The axes label attribute has been exposed for this purpose: if you want two axes that are otherwise identical to be added to the figure, make sure you give them unique labels.

Examples

#Creating a new full window axes
plt.axes()

#Creating a new axes with specified dimensions and some kwargs
plt.axes((left, bottom, width, height), facecolor='w')