Matplotlib.axis.Tick.get_path_effects() en Python

Matplotlib es una biblioteca en Python y es una extensión matemática numérica para la biblioteca NumPy. Es una biblioteca de visualización increíble en Python para gráficos 2D de arrays y se utiliza para trabajar con la pila SciPy más amplia.

función matplotlib.axis.Tick.get_path_effects()

La función Tick.get_path_effects() en el módulo de eje de la biblioteca matplotlib se usa para obtener la propiedad de set_path_effects.

Sintaxis: Tick.get_path_effects(self) 

Parámetros: Este método no acepta ningún parámetro. 

Valor devuelto: este método devuelve la propiedad de set_path_effects.

Los siguientes ejemplos ilustran la función matplotlib.axis.Tick.get_path_effects() en matplotlib.axis: 

Ejemplo 1: 

# Implementation of matplotlib function
from matplotlib.axis import Tick
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='red'),
                    path_effects.PathPatchEffect(edgecolor='white',
                                                 linewidth=1.1,
                                                 facecolor='purple')])
  
print("Value Return by get_path_effects() : \n")
for i in Tick.get_path_effects(t):
    print(i)
  
fig.suptitle("""matplotlib.axis.Tick.get_path_effects()
function Example\n""", fontweight="bold")
  
plt.show()

Producción: 

Value Return by get_path_effects() : 

<matplotlib.patheffects.PathPatchEffect object at 0x0AFAEBB0>
<matplotlib.patheffects.PathPatchEffect object at 0x0AFAED30>

 

Ejemplo 2: 

# Implementation of matplotlib function
from matplotlib.axis import Tick
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="g")])
  
txt.arrow_patch.set_path_effects([
    PathEffects.Stroke(linewidth=5, foreground="purple"),
    PathEffects.Normal()])
  
ax1.grid(True, linestyle="-")
  
pe = [PathEffects.withStroke(linewidth=3,
                             foreground="purple")]
  
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 Tick.get_path_effects(l):
        print(i)
  
fig.suptitle("""matplotlib.axis.Tick.get_path_effects()
function Example\n""", fontweight="bold")
  
plt.show()

Producción: 

Value Return by get_path_effects() : 

<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>
<matplotlib.patheffects.withStroke object at 0x0B00DF30>