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.Axis.get_path_effects() Function
The Axis.get_path_effects() function in axis module of matplotlib library is used to get the property of set_path_effects.
Syntax: Axis.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.Axis.get_path_effects() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis 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 Axis.get_path_effects(t): print(i) fig.suptitle("""matplotlib.axis.Axis.get_path_effects() function Example\n""", fontweight ="bold") plt.show() |
Output:
Value Return by get_path_effects() : <matplotlib.patheffects.PathPatchEffect object at 0x0A6EDBD0> <matplotlib.patheffects.PathPatchEffect object at 0x0A6EDDB0>
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis 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 Axis.get_path_effects(l): print(i) fig.suptitle("""matplotlib.axis.Axis.get_path_effects() function Example\n""", fontweight ="bold") plt.show() |
Output:
Value Return by get_path_effects() : <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50>
