Vous êtes un professionnel et vous avez besoin d'une formation ? Machine Learning
avec Scikit-Learn Voir le programme détaillé

Classe « Axes »

Constructeur matplotlib.pyplot.Axes.__init__

Signature de la constructeur __init__

def __init__(self, fig, *args, facecolor=None, frameon=True, sharex=None, sharey=None, label='', xscale=None, yscale=None, box_aspect=None, forward_navigation_events='auto', **kwargs) 

Description

help(Axes.__init__)

Build an Axes in a figure.

Parameters
----------
fig : `~matplotlib.figure.Figure`
    The Axes is built in the `.Figure` *fig*.

*args
    ``*args`` can be a single ``(left, bottom, width, height)``
    rectangle or a single `.Bbox`.  This specifies the rectangle (in
    figure coordinates) where the Axes is positioned.

    ``*args`` can also consist of three numbers or a single three-digit
    number; in the latter case, the digits are considered as
    independent numbers.  The numbers are interpreted as ``(nrows,
    ncols, index)``: ``(nrows, ncols)`` specifies the size of an array
    of subplots, and ``index`` is the 1-based index of the subplot
    being created.  Finally, ``*args`` can also directly be a
    `.SubplotSpec` instance.

sharex, sharey : `~matplotlib.axes.Axes`, optional
    The x- or y-`~.matplotlib.axis` is shared with the x- or y-axis in
    the input `~.axes.Axes`.  Note that it is not possible to unshare
    axes.

frameon : bool, default: True
    Whether the Axes frame is visible.

box_aspect : float, optional
    Set a fixed aspect for the Axes box, i.e. the ratio of height to
    width. See `~.axes.Axes.set_box_aspect` for details.

forward_navigation_events : bool or "auto", default: "auto"
    Control whether pan/zoom events are passed through to Axes below
    this one. "auto" is *True* for axes with an invisible patch and
    *False* otherwise.

**kwargs
    Other optional keyword arguments:

    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

Returns
-------
`~.axes.Axes`
    The new `~.axes.Axes` object.

Vous êtes un professionnel et vous avez besoin d'une formation ? RAG (Retrieval-Augmented Generation)
et Fine Tuning d'un LLM Voir le programme détaillé