axes(arg=None, **kwargs)
Call signatures:
plt.axes() plt.axes(rect, projection=None, polar=False, **kwargs) plt.axes(ax)
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.
This method also takes the keyword arguments for the returned axes class. The keyword arguments for the rectilinear axes class :None:None:`~.axes.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.
Properties: 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: scalar or None anchor: (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', ...} animated: bool aspect: {'auto', 'equal'} or float autoscale_on: bool autoscalex_on: bool autoscaley_on: bool axes_locator: Callable[[Axes, Renderer], Bbox] axisbelow: bool or 'line' box_aspect: float or None clip_box: .Bbox
clip_on: bool clip_path: Patch or (Path, Transform) or None facecolor or 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 ~matplotlib.transforms.Bbox
prop_cycle: unknown rasterization_zorder: float or None rasterized: bool 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: (bottom: float, top: float) xmargin: float greater than -0.5 xscale: {"linear", "log", "symlog", "logit", ...} or .ScaleBase
xticklabels: unknown xticks: unknown ybound: unknown ylabel: str ylim: (bottom: float, top: float) ymargin: float greater than -0.5 yscale: {"linear", "log", "symlog", "logit", ...} or .ScaleBase
yticklabels: unknown yticks: unknown zorder: float
The exact behavior of this function depends on the type:
None: A new full window axes is added using subplot(**kwargs)
.
4-tuple of floats rect = [left, bottom, width, height]
. A new axes is added with dimensions rect in normalized (0, 1) units using :None:None:`~.Figure.add_axes` on the current figure.
The projection type of the :None:None:`~.axes.Axes`. str is the name of a custom projection, see ~matplotlib.projections
. The default None results in a 'rectilinear' projection.
If True, equivalent to projection='polar'.
Share the x or y ~matplotlib.axis
with sharex and/or sharey. The axis will have the same limits, ticks, and scale as the axis of the shared axes.
A label for the returned axes.
The returned axes class depends on the projection used. It is :None:None:`~.axes.Axes` if rectilinear projection is used and .projections.polar.PolarAxes
if polar projection is used.
Add an axes to the current figure and make it the current axes.
# Creating a new full window axes plt.axes()
See :# Creating a new axes with specified dimensions and some kwargs plt.axes((left, bottom, width, height), facecolor='w')
The following pages refer to to this document either explicitly or contain code examples using this.
matplotlib.figure.FigureBase.add_subplot
matplotlib.figure.FigureBase.add_axes
matplotlib.pyplot.subplots
matplotlib.pyplot.subplot
scipy.interpolate._bsplines.make_interp_spline
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