matplotlib.pyplot.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. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. There are various plots which can be used in Pyplot are Line Plot, Contour, Histogram, Scatter, 3D Plot, etc. matplotlib.pyplot.figure() Function: The figure() function in pyplot module of matplotlib library is used to create a new figure. Syntax: matplotlib.pyplot.figure(num=None, figsize=None, dpi=None, facecolor=None, edgecolor=None, frameon=True, FigureClass=, clear=False, **kwargs) Parameters: This method accept the following parameters that are described below: num : This parameter is provided, and a figure with this id already exists. figsize(float, float): These parameter are the width, height in inches. dpi : This parameter is the resolution of the figure. facecolor : This parameter is the background color. edgecolor : This parameter is the border color. frameon : This parameter suppress drawing the figure frame. FigureClass : This parameter use a custom Figure instance. clear : This parameter if True and the figure already exists, then it is cleared. Return value: This method returns the following values: figure : This returns the Figure instance returned will also be passed to new_figure_manager in the backends. Below examples illustrate the matplotlib.pyplot.figure() function in matplotlib.axes: Example #1: Python3 1== # Implementation of matplotlib function import matplotlib.pyplot as plt import matplotlib.lines as lines fig = plt.figure() fig.add_artist(lines.Line2D([0, 1, 0.5], [0, 1, 0.3])) fig.add_artist(lines.Line2D([0, 1, 0.5], [1, 0, 0.2])) plt.title('matplotlib.pyplot.figure() Example\n', fontsize = 14, fontweight ='bold') plt.show() Output: Example #2: Python3 1== # Implementation of matplotlib function import matplotlib.pyplot as plt from mpl_toolkits.axisartist.axislines import Subplot fig = plt.figure(figsize =(4, 4)) ax = Subplot(fig, 111) fig.add_subplot(ax) ax.axis["left"].set_visible(False) ax.axis["bottom"].set_visible(False) plt.title('matplotlib.pyplot.figure() Example\n', fontsize = 14, fontweight ='bold') plt.show() Output: Comment More info S shubhamsingh10 Follow Improve Article Tags : Python Python-matplotlib Explore Python FundamentalsPython Introduction 3 min read Input and Output in Python 4 min read Python Variables 5 min read Python Operators 5 min read Python Keywords 2 min read Python Data Types 7 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 6 min read Python Functions 5 min read Recursion in Python 4 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 4 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 2 min read Python MySQL 9 min read Python Packages 12 min read Python Modules 7 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 6 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 15+ min read StatsModel Library- Tutorial 4 min read Learning Model Building in Scikit-learn 8 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 6 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 7 min read Python | Build a REST API using Flask 3 min read How to Create a basic API using Django Rest Framework ? 4 min read Python PracticePython Quiz 3 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like