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.
método matplotlib.artist.Artist.get_path_effects()
El método get_path_effects() en el módulo de artista de la biblioteca matplotlib se usa para obtener la propiedad de set_path_effects.
Sintaxis: Artist.get_path_effects(self)
Parámetros: Este método no acepta ningún parámetro.
Devoluciones: este método devuelve la propiedad de set_path_effects.
Los siguientes ejemplos ilustran la función matplotlib.artist.Artist.get_path_effects() en matplotlib:
Ejemplo 1:
# Implementation of matplotlib function
from matplotlib.artist import Artist
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.patheffects as path_effects
fig, ax = plt.subplots()
t = ax.text(0.02, 0.5,
'GeeksForGeeks',
fontsize = 40,
weight = 1000,
va ='center')
t.set_path_effects([path_effects.PathPatchEffect(offset =(4, -4),
hatch ='xxxx',
facecolor ='gray'),
path_effects.PathPatchEffect(edgecolor ='white',
linewidth = 1.1,
facecolor ='black')])
print("Value Return by get_path_effects() : \n")
for i in Artist.get_path_effects(t):
print(i)
fig.suptitle('matplotlib.artist.Artist.get_path_effects()\
function Example', fontweight ="bold")
plt.show()
Producción:
Value Return by get_path_effects() : <matplotlib.patheffects.PathPatchEffect object at 0x0AAAB890> <matplotlib.patheffects.PathPatchEffect object at 0x0AAABA70>
Ejemplo 2:
# Implementation of matplotlib function
from matplotlib.artist import Artist
import matplotlib.pyplot as plt
import matplotlib.patheffects as PathEffects
import numpy as np
fig, ax1 = plt.subplots()
ax1.imshow([[1, 2], [2, 3]])
txt = ax1.annotate("Fourth",
(1., 1.),
(0., 0),
arrowprops = dict(arrowstyle ="->",
connectionstyle ="angle3",
lw = 2),
size = 20,
ha ="center",
path_effects =[PathEffects.withStroke(linewidth = 3,
foreground ="w")])
txt.arrow_patch.set_path_effects([
PathEffects.Stroke(linewidth = 5, foreground ="w"),
PathEffects.Normal()])
ax1.grid(True, linestyle ="-")
pe = [PathEffects.withStroke(linewidth = 3,
foreground ="w")]
for l in ax1.get_xgridlines() + ax1.get_ygridlines():
l.set_path_effects(pe)
print("Value Return by get_path_effects() : \n")
for l in ax1.get_xgridlines() + ax1.get_ygridlines():
for i in Artist.get_path_effects(l):
print(i)
fig.suptitle('matplotlib.artist.Artist.get_path_effects()\
function Example', fontweight ="bold")
plt.show()
Producción:
Value Return by get_path_effects() : <matplotlib.patheffects.withStroke object at 0x0A66DBD0> < <matplotlib.patheffects.withStroke object at 0x0A66DBD0> <matplotlib.patheffects.withStroke object at 0x0A66DBD0> <matplotlib.patheffects.withStroke object at 0x0A66DBD0> <matplotlib.patheffects.withStroke object at 0x0A66DBD0> <matplotlib.patheffects.withStroke object at 0x0A66DBD0> <matplotlib.patheffects.withStroke object at 0x0A66DBD0> <matplotlib.patheffects.withStroke object at 0x0A66DBD0> <matplotlib.patheffects.withStroke object at 0x0A66DBD0> <matplotlib.patheffects.withStroke object at 0x0A66DBD0> <matplotlib.patheffects.withStroke object at 0x0A66DBD0> <matplotlib.patheffects.withStroke object at 0x0A66DBD0> <matplotlib.patheffects.withStroke object at 0x0A66DBD0> <matplotlib.patheffects.withStroke object at 0x0A66DBD0> <matplotlib.patheffects.withStroke object at 0x0A66DBD0> <matplotlib.patheffects.withStroke object at 0x0A66DBD0> <matplotlib.patheffects.withStroke object at 0x0A66DBD0>
Publicación traducida automáticamente
Artículo escrito por SHUBHAMSINGH10 y traducido por Barcelona Geeks. The original can be accessed here. Licence: CCBY-SA