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Showing content from https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.axes.html below:

matplotlib.pyplot.axes — Matplotlib 3.1.2 documentation

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 or 4-tuple

The exact behavior of this function depends on the type:

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

The projection type of the Axes. str is the name of a custom 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 unknown xlabel str xlim (left: float, right: float) xmargin float greater than -0.5 xscale {"linear", "log", "symlog", "logit", ...} xticklabels List[str] xticks list ybound unknown 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')

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