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Module « matplotlib.pyplot »

Fonction axes - 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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