Matplotlib.figure.Figure() in Python Last Updated : 12 Jul, 2025 Comments Improve Suggest changes Like Article Like Report Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The figure module provides the top-level Artist, the Figure, which contains all the plot elements. This module is used to control the default spacing of the subplots and top level container for all plot elements. matplotlib.figure.Figure() class This class is the top level container for all the plot elements.The Figure instance supports callbacks through a callbacks attribute which is a CallbackRegistry instance. Note: In the Figure, the Base is the matplotlib.artist.Artist. Syntax: class matplotlib.figure.Figure(figsize=None, dpi=None, facecolor=None, edgecolor=None, linewidth=0.0, frameon=None, subplotpars=None, tight_layout=None, constrained_layout=None) Parameters: This accept the following parameters that are described below: figsize : This parameter is the Figure dimension (width, height) in inches. dpi : This parameter is the dots per inch. facecolor : This parameter is the figure patch facecolor. edgecolor : This parameter is the figure patch edge color. linewidth : This parameter is the linewidth of the frame. frameon : This parameter is the suppress drawing the figure background patch. subplotpars : This parameter is the Subplot parameters. tight_layout : This parameter is used to adjust subplot parameters. constrained_layout : This parameter is used to adjust positioning of plot elements. Returns: This method return the figure instances. Below examples illustrate the matplotlib.figure.Figure() function in matplotlib.figure: Example 1: Python3 # Implementation of matplotlib function import matplotlib.pyplot as plt from matplotlib.figure import Figure import numpy as np fig = plt.figure(figsize =(5, 4)) ax = fig.add_axes([0.1, 0.1, 0.8, 0.8]) xx = np.arange(0, 2 * np.pi, 0.01) ax.plot(xx, np.sin(xx)) fig.suptitle('matplotlib.figure.Figure() class Example\n\n', fontweight ="bold") plt.show() Output: Example-2: Python3 # Implementation of matplotlib function import matplotlib.pyplot as plt from matplotlib.figure import Figure from mpl_toolkits.axisartist.axislines import Subplot import numpy as np fig = plt.figure(facecolor ="green") ax = Subplot(fig, 111) fig.add_subplot(ax) ax.axis["left"].set_visible(False) ax.axis["top"].set_visible(False) fig.suptitle('matplotlib.figure.Figure() class Example\n\n', fontweight ="bold") plt.show() Output: Comment More infoAdvertise with us Next Article Company-wise Practice Problems S shubhamsingh10 Follow Improve Article Tags : Python Python-matplotlib Practice Tags : python Similar Reads Interview PreparationInterview Preparation For Software DevelopersMust Coding Questions - Company-wise Must Do Coding Questions - Topic-wiseCompany-wise Practice ProblemsCompany PreparationCompetitive ProgrammingSoftware Design-PatternsCompany-wise Interview ExperienceExperienced - Interview ExperiencesInternship - Interview ExperiencesPractice @GeeksforgeeksProblem of the DayTopic-wise PracticeDifficulty Level - SchoolDifficulty Level - BasicDifficulty Level - EasyDifficulty Level - MediumDifficulty Level - HardLeaderboard !!Explore More...Data StructuresArraysLinked ListStackQueueBinary TreeBinary Search TreeHeapHashingGraphAdvance Data StructuresMatrixStringAll Data StructuresAlgorithmsAnalysis of AlgorithmsSearching AlgorithmsSorting AlgorithmsPattern SearchingGeometric AlgorithmsMathematical AlgorithmsRandomized AlgorithmsGreedy AlgorithmsDynamic ProgrammingDivide & ConquerBacktrackingBranch & BoundAll AlgorithmsProgramming LanguagesCC++JavaPythonC#Go LangSQLPHPScalaPerlKotlinWeb TechnologiesHTMLCSSJavaScriptBootstrapTailwind CSSAngularJSReactJSjQueryNodeJSPHPWeb DesignWeb BrowserFile FormatsComputer Science SubjectsOperating SystemsDBMSComputer NetworkComputer Organization & ArchitectureTOCCompiler DesignDigital Elec. & Logic DesignSoftware EngineeringEngineering MathematicsData Science & MLComplete Data Science CourseData Science TutorialMachine Learning TutorialDeep Learning TutorialNLP TutorialMachine Learning ProjectsData Analysis TutorialTutorial LibraryPython TutorialDjango TutorialPandas TutorialKivy TutorialTkinter TutorialOpenCV TutorialSelenium TutorialGATE CSGATE CS NotesGate CornerPrevious Year GATE PapersLast Minute Notes (LMNs)Important Topic For GATE CSGATE CoursePrevious Year Paper: CS exams Like