Matplotlib.axis.Axis.get_path_effects() function in Python Last Updated : 08 Jun, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report 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> Comment More infoAdvertise with us Next Article Matplotlib.axis.Axis.get_clip_on() function in Python S SHUBHAMSINGH10 Follow Improve Article Tags : Python Python-matplotlib Matplotlib-Axis Class Practice Tags : python Similar Reads Matplotlib.axis.Axis.set_path_effects() function in Python Matplotlib is a library in Python and it is numerical â mathematical extension for NumPy library. 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