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Programmation Python
Les fondamentaux
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Classe « Text »
Signature de la méthode set
def set(self, *, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, antialiased=<UNSET>, backgroundcolor=<UNSET>, bbox=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, color=<UNSET>, fontfamily=<UNSET>, fontproperties=<UNSET>, fontsize=<UNSET>, fontstretch=<UNSET>, fontstyle=<UNSET>, fontvariant=<UNSET>, fontweight=<UNSET>, gid=<UNSET>, horizontalalignment=<UNSET>, in_layout=<UNSET>, label=<UNSET>, linespacing=<UNSET>, math_fontfamily=<UNSET>, mouseover=<UNSET>, multialignment=<UNSET>, parse_math=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, position=<UNSET>, rasterized=<UNSET>, rotation=<UNSET>, rotation_mode=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, text=<UNSET>, transform=<UNSET>, transform_rotates_text=<UNSET>, url=<UNSET>, usetex=<UNSET>, verticalalignment=<UNSET>, visible=<UNSET>, wrap=<UNSET>, x=<UNSET>, y=<UNSET>, zorder=<UNSET>)
Description
help(Text.set)
Set multiple properties at once.
Supported properties are
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: bool
backgroundcolor: :mpltype:`color`
bbox: dict with properties for `.patches.FancyBboxPatch`
clip_box: unknown
clip_on: unknown
clip_path: unknown
color: :mpltype:`color`
figure: `~matplotlib.figure.Figure` or `~matplotlib.figure.SubFigure`
fontfamily or fontname: {FONTNAME, 'serif', 'sans-serif', 'cursive', 'fantasy', 'monospace'}
fontproperties: `.font_manager.FontProperties` or `str` or `pathlib.Path`
fontsize: float or {'xx-small', 'x-small', 'small', 'medium', 'large', 'x-large', 'xx-large'}
fontstretch: {a numeric value in range 0-1000, 'ultra-condensed', 'extra-condensed', 'condensed', 'semi-condensed', 'normal', 'semi-expanded', 'expanded', 'extra-expanded', 'ultra-expanded'}
fontstyle: {'normal', 'italic', 'oblique'}
fontvariant: {'normal', 'small-caps'}
fontweight: {a numeric value in range 0-1000, 'ultralight', 'light', 'normal', 'regular', 'book', 'medium', 'roman', 'semibold', 'demibold', 'demi', 'bold', 'heavy', 'extra bold', 'black'}
gid: str
horizontalalignment: {'left', 'center', 'right'}
in_layout: bool
label: object
linespacing: float (multiple of font size)
math_fontfamily: str
mouseover: bool
multialignment: {'left', 'right', 'center'}
parse_math: bool
path_effects: list of `.AbstractPathEffect`
picker: None or bool or float or callable
position: (float, float)
rasterized: bool
rotation: float or {'vertical', 'horizontal'}
rotation_mode: {None, 'default', 'anchor'}
sketch_params: (scale: float, length: float, randomness: float)
snap: bool or None
text: object
transform: `~matplotlib.transforms.Transform`
transform_rotates_text: bool
url: str
usetex: bool, default: :rc:`text.usetex`
verticalalignment: {'baseline', 'bottom', 'center', 'center_baseline', 'top'}
visible: bool
wrap: bool
x: float
y: float
zorder: float
Vous êtes un professionnel et vous avez besoin d'une formation ?
Deep Learning avec Python
et Keras et Tensorflow
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