Vous êtes un professionnel et vous avez besoin d'une formation ? Sensibilisation à
l'Intelligence Artificielle Voir le programme détaillé

Classe « Rectangle »

Constructeur matplotlib.figure.Rectangle.__init__

Signature de la constructeur __init__

def __init__(self, xy, width, height, *, angle=0.0, rotation_point='xy', **kwargs) 

Description

help(Rectangle.__init__)

Parameters
----------
xy : (float, float)
    The anchor point.
width : float
    Rectangle width.
height : float
    Rectangle height.
angle : float, default: 0
    Rotation in degrees anti-clockwise about the rotation point.
rotation_point : {'xy', 'center', (number, number)}, default: 'xy'
    If ``'xy'``, rotate around the anchor point. If ``'center'`` rotate
    around the center. If 2-tuple of number, rotate around this
    coordinate.

Other Parameters
----------------
**kwargs : `~matplotlib.patches.Patch` properties
    Properties:
    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: unknown
    animated: bool
    antialiased or aa: bool or None
    capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}
    clip_box: `~matplotlib.transforms.BboxBase` or None
    clip_on: bool
    clip_path: Patch or (Path, Transform) or None
    color: :mpltype:`color`
    edgecolor or ec: :mpltype:`color` or None
    facecolor or fc: :mpltype:`color` or None
    figure: `~matplotlib.figure.Figure` or `~matplotlib.figure.SubFigure`
    fill: bool
    gid: str
    hatch: {'/', '\\', '|', '-', '+', 'x', 'o', 'O', '.', '*'}
    hatch_linewidth: unknown
    in_layout: bool
    joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}
    label: object
    linestyle or ls: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
    linewidth or lw: float or None
    mouseover: bool
    path_effects: list of `.AbstractPathEffect`
    picker: None or bool or float or callable
    rasterized: bool
    sketch_params: (scale: float, length: float, randomness: float)
    snap: bool or None
    transform: `~matplotlib.transforms.Transform`
    url: str
    visible: bool
    zorder: float

Vous êtes un professionnel et vous avez besoin d'une formation ? Deep Learning avec Python
et Keras et Tensorflow Voir le programme détaillé