Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Artist class contains Abstract base class for objects that render into a FigureCanvas. All visible elements in a figure are subclasses of Artist.
matplotlib.artist.Artist.set_path_effects() method
The set_path_effects() method in artist module of matplotlib library is used to set the path effects.
Syntax: Artist.set_path_effects(self, path_effects)
Parameters: This method accepts the following parameters.
- path_effects : This parameter is the AbstractPathEffect..
Returns: This method does not return any value.
Below examples illustrate the matplotlib.artist.Artist.set_path_effects() function in matplotlib:
Example 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') Artist.set_path_effects(t, [path_effects.PathPatchEffect(offset =(4, -4), hatch ='xxxx', facecolor ='lightgreen'), path_effects.PathPatchEffect(edgecolor ='white', linewidth = 1.1, facecolor ='green')]) fig.suptitle('matplotlib.artist.Artist.set_path_effects()\ function Example', fontweight ="bold") plt.show() |
Output:
Example 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 Qaud", (1., 1.), (0., 0), arrowprops = dict(arrowstyle ="->", connectionstyle ="angle3", lw = 2), size = 20, ha ="center", path_effects =[PathEffects.withStroke(linewidth = 3, foreground ="w")]) Artist.set_path_effects(txt.arrow_patch, [ 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(): Artist.set_path_effects(l, pe) fig.suptitle('matplotlib.artist.Artist.set_path_effects()\ function Example', fontweight ="bold") plt.show() |
Output:
