Vous êtes un professionnel et vous avez besoin d'une formation ?
Deep Learning avec Python
et Keras et Tensorflow
Voir le programme détaillé
Classe « Line2D »
Signature de la constructeur __init__
def __init__(self, xdata, ydata, *, linewidth=None, linestyle=None, color=None, gapcolor=None, marker=None, markersize=None, markeredgewidth=None, markeredgecolor=None, markerfacecolor=None, markerfacecoloralt='none', fillstyle=None, antialiased=None, dash_capstyle=None, solid_capstyle=None, dash_joinstyle=None, solid_joinstyle=None, pickradius=5, drawstyle=None, markevery=None, **kwargs)
Description
help(Line2D.__init__)
Create a `.Line2D` instance with *x* and *y* data in sequences of
*xdata*, *ydata*.
Additional keyword arguments are `.Line2D` 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: scalar or None
animated: bool
antialiased or aa: bool
clip_box: `~matplotlib.transforms.BboxBase` or None
clip_on: bool
clip_path: Patch or (Path, Transform) or None
color or c: :mpltype:`color`
dash_capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}
dash_joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}
dashes: sequence of floats (on/off ink in points) or (None, None)
data: (2, N) array or two 1D arrays
drawstyle or ds: {'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default'
figure: `~matplotlib.figure.Figure` or `~matplotlib.figure.SubFigure`
fillstyle: {'full', 'left', 'right', 'bottom', 'top', 'none'}
gapcolor: :mpltype:`color` or None
gid: str
in_layout: bool
label: object
linestyle or ls: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
linewidth or lw: float
marker: marker style string, `~.path.Path` or `~.markers.MarkerStyle`
markeredgecolor or mec: :mpltype:`color`
markeredgewidth or mew: float
markerfacecolor or mfc: :mpltype:`color`
markerfacecoloralt or mfcalt: :mpltype:`color`
markersize or ms: float
markevery: None or int or (int, int) or slice or list[int] or float or (float, float) or list[bool]
mouseover: bool
path_effects: list of `.AbstractPathEffect`
picker: float or callable[[Artist, Event], tuple[bool, dict]]
pickradius: float
rasterized: bool
sketch_params: (scale: float, length: float, randomness: float)
snap: bool or None
solid_capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}
solid_joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}
transform: unknown
url: str
visible: bool
xdata: 1D array
ydata: 1D array
zorder: float
See :meth:`set_linestyle` for a description of the line styles,
:meth:`set_marker` for a description of the markers, and
:meth:`set_drawstyle` for a description of the draw styles.
Vous êtes un professionnel et vous avez besoin d'une formation ?
Calcul scientifique
avec Python
Voir le programme détaillé
Améliorations / Corrections
Vous avez des améliorations (ou des corrections) à proposer pour ce document : je vous remerçie par avance de m'en faire part, cela m'aide à améliorer le site.
Emplacement :
Description des améliorations :