Matplotlib.axis.Tick.get_path_effects() in Python

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

matplotlib.axis.Tick.get_path_effects() Function

The Tick.get_path_effects() function in axis module of matplotlib library is used to get the property of set_path_effects.

Syntax: Tick.get_path_effects(self) 

Parameters: This method does not accepts any parameter. 

Return value: This method return the property of set_path_effects.

Below examples illustrate the matplotlib.axis.Tick.get_path_effects() function in matplotlib.axis: 

Example 1:

Python3

# 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()

Output:

Value Return by get_path_effects() : 

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

Example 2:

Python3

# 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()

Output:

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>