Classe « FigureBase »

Méthode matplotlib.figure.FigureBase.gca

Signature de la méthode gca

def gca(self, **kwargs) 

Description

gca.__doc__

Get the current Axes, creating one if necessary.

The following kwargs are supported for ensuring the returned Axes
adheres to the given projection etc., and for Axes creation if
the active Axes does not exist:

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: 2-tuple of floats or {'C', 'SW', 'S', 'SE', ...}
    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
    contains: unknown
    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