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Module « matplotlib.pyplot »
Signature de la fonction axes
def axes(arg: 'None | tuple[float, float, float, float]' = None, **kwargs) -> 'matplotlib.axes.Axes'
Description
help(matplotlib.pyplot.axes)
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:
- *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 `~.Figure.add_axes` on the current figure.
projection : {None, 'aitoff', 'hammer', 'lambert', 'mollweide', 'polar', 'rectilinear', str}, optional
The projection type of the `~.axes.Axes`. *str* is the name of
a custom projection, see `~matplotlib.projections`. The default
None results in a 'rectilinear' projection.
polar : bool, default: False
If True, equivalent to projection='polar'.
sharex, sharey : `~matplotlib.axes.Axes`, optional
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.
label : str
A label for the returned Axes.
Returns
-------
`~.axes.Axes`, or a subclass of `~.axes.Axes`
The returned Axes class depends on the projection used. It is
`~.axes.Axes` if rectilinear projection is used and
`.projections.polar.PolarAxes` if polar projection is 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.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 and two offsets from the bottom left corner of the image
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: unknown
autoscaley_on: unknown
axes_locator: Callable[[Axes, Renderer], Bbox]
axisbelow: bool or 'line'
box_aspect: float or None
clip_box: `~matplotlib.transforms.BboxBase` or None
clip_on: bool
clip_path: Patch or (Path, Transform) or None
facecolor or fc: :mpltype:`color`
figure: `~matplotlib.figure.Figure` or `~matplotlib.figure.SubFigure`
forward_navigation_events: bool or "auto"
frame_on: bool
gid: str
in_layout: bool
label: object
mouseover: bool
navigate: bool
navigate_mode: unknown
path_effects: list of `.AbstractPathEffect`
picker: None or bool or float or callable
position: [left, bottom, width, height] or `~matplotlib.transforms.Bbox`
prop_cycle: `~cycler.Cycler`
rasterization_zorder: float or None
rasterized: bool
sketch_params: (scale: float, length: float, randomness: float)
snap: bool or None
subplotspec: unknown
title: str
transform: `~matplotlib.transforms.Transform`
url: str
visible: bool
xbound: (lower: float, upper: float)
xlabel: str
xlim: (left: float, right: float)
xmargin: float greater than -0.5
xscale: unknown
xticklabels: unknown
xticks: unknown
ybound: (lower: float, upper: float)
ylabel: str
ylim: (bottom: float, top: float)
ymargin: float greater than -0.5
yscale: unknown
yticklabels: unknown
yticks: unknown
zorder: float
See Also
--------
.Figure.add_axes
.pyplot.subplot
.Figure.add_subplot
.Figure.subplots
.pyplot.subplots
Examples
--------
::
# Creating a new full window Axes
plt.axes()
# Creating a new Axes with specified dimensions and a grey background
plt.axes((left, bottom, width, height), facecolor='grey')
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