Matplotlib es una biblioteca en Python y es una extensión matemática numérica para la biblioteca NumPy. La clase Artist contiene una clase base Abstract para objetos que se representan en un FigureCanvas. Todos los elementos visibles en una figura son subclases de Artista.
El método get_clip_box() en el módulo de artista de la biblioteca matplotlib se usa para obtener el clipbox.
Sintaxis: Artist.get_clip_box(self)
Parámetros: Este método no acepta ningún parámetro.
Devoluciones: este método devuelve el estado animado.
Los siguientes ejemplos ilustran la función matplotlib.artist.Artist.get_clip_box() en matplotlib:
Ejemplo 1:
Python3
# Implementation of matplotlib function from matplotlib.artist import Artist import matplotlib.pyplot as plt import numpy as np from matplotlib.patches import Ellipse delta = 45.0 angles = np.arange(0, 360 + delta, delta) ells = [Ellipse((2, 2), 5, 2, a) for a in angles] fig, ax = plt.subplots() print("Value Return by get_clip_box()") for e in ells: Artist.set_clip_box(e, ax.bbox) print(Artist.get_clip_box(e)) e.set_alpha(0.1) ax.add_artist(e) plt.xlim(-1, 5) plt.ylim(-1, 5) fig.suptitle('matplotlib.artist.Artist.get_clip_box() \ function Example', fontweight ="bold") plt.show()
Producción:
Value Return by get_clip_box() TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]])))) TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]])))) TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]])))) TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]])))) TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]])))) TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]])))) TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]])))) TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]])))) TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]]))))
Ejemplo 2:
Python3
# Implementation of matplotlib function from matplotlib.artist import Artist import matplotlib.pyplot as plt import numpy as np from matplotlib.patches import Ellipse NUM = 200 ells = [Ellipse(xy = np.random.rand(2) * 10, width = np.random.rand(), height = np.random.rand(), angle = np.random.rand() * 360) for i in range(NUM)] fig, ax = plt.subplots(subplot_kw ={'aspect': 'equal'}) print("Value Return by get_clip_box()") x = 0 for e in ells: ax.add_artist(e) Artist.set_clip_box(e, ax.bbox) e.set_alpha(np.random.rand()) e.set_facecolor(np.random.rand(4)) if x<2: print(Artist.get_clip_box(e)) x+= 1 ax.set_xlim(3, 7) ax.set_ylim(3, 7) fig.suptitle('matplotlib.artist.Artist.get_clip_box()\ function Example', fontweight ="bold") plt.show()
Producción:
Value Return by get_clip_box() TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]])))) TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]]))))
Publicación traducida automáticamente
Artículo escrito por SHUBHAMSINGH10 y traducido por Barcelona Geeks. The original can be accessed here. Licence: CCBY-SA