Matplotlib.artist.Artist.set_path_effects() in Python Last Updated : 10 May, 2020 Comments Improve Suggest changes Like Article Like Report 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: Python3 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: Python3 1== # 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: Comment More infoAdvertise with us S SHUBHAMSINGH10 Follow Improve Article Tags : Python Python-matplotlib Matplotlib Artist-class Practice Tags : python Similar Reads Interview Preparation Interview Preparation For Software Developers Must Coding Questions - Company-wise Must Do Coding Questions - Topic-wise Company-wise Practice Problems Company Preparation Competitive Programming Software Design-Patterns Company-wise Interview Experience Experienced - Interview Experiences Internship - Interview Experiences Practice @Geeksforgeeks Problem of the Day Topic-wise Practice Difficulty Level - School Difficulty Level - Basic Difficulty Level - Easy Difficulty Level - Medium Difficulty Level - Hard Leaderboard !! Explore More... Data Structures Arrays Linked List Stack Queue Binary Tree Binary Search Tree Heap Hashing Graph Advance Data Structures Matrix String All Data Structures Algorithms Analysis of Algorithms Searching Algorithms Sorting Algorithms Pattern Searching Geometric Algorithms Mathematical Algorithms Randomized Algorithms Greedy Algorithms Dynamic Programming Divide & Conquer Backtracking Branch & Bound All Algorithms Programming Languages C C++ Java Python C# Go Lang SQL PHP Scala Perl Kotlin Web Technologies HTML CSS JavaScript Bootstrap Tailwind CSS AngularJS ReactJS jQuery NodeJS PHP Web Design Web Browser File Formats Computer Science Subjects Operating Systems DBMS Computer Network Computer Organization & Architecture TOC Compiler Design Digital Elec. & Logic Design Software Engineering Engineering Mathematics Data Science & ML Complete Data Science Course Data Science Tutorial Machine Learning Tutorial Deep Learning Tutorial NLP Tutorial Machine Learning Projects Data Analysis Tutorial Tutorial Library Python Tutorial Django Tutorial Pandas Tutorial Kivy Tutorial Tkinter Tutorial OpenCV Tutorial Selenium Tutorial GATE CS GATE CS Notes Gate Corner Previous Year GATE Papers Last Minute Notes (LMNs) Important Topic For GATE CS GATE Course Previous Year Paper: CS exams Like