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Classe « Axes »

Méthode matplotlib.pyplot.Axes.set

Signature de la méthode set

def set(self, *, adjustable=<UNSET>, agg_filter=<UNSET>, alpha=<UNSET>, anchor=<UNSET>, animated=<UNSET>, aspect=<UNSET>, autoscale_on=<UNSET>, autoscalex_on=<UNSET>, autoscaley_on=<UNSET>, axes_locator=<UNSET>, axisbelow=<UNSET>, box_aspect=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, facecolor=<UNSET>, forward_navigation_events=<UNSET>, frame_on=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, label=<UNSET>, mouseover=<UNSET>, navigate=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, position=<UNSET>, prop_cycle=<UNSET>, rasterization_zorder=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, subplotspec=<UNSET>, title=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, xbound=<UNSET>, xlabel=<UNSET>, xlim=<UNSET>, xmargin=<UNSET>, xscale=<UNSET>, xticklabels=<UNSET>, xticks=<UNSET>, ybound=<UNSET>, ylabel=<UNSET>, ylim=<UNSET>, ymargin=<UNSET>, yscale=<UNSET>, yticklabels=<UNSET>, yticks=<UNSET>, zorder=<UNSET>) 

Description

help(Axes.set)

Set multiple properties at once.

Supported properties are

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

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