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matplotlib.pyplot.figure() in Python - GeeksforGeeks

Last Updated : 12 Jul, 2025

is a library in Python and it is numerical - mathematical extension for NumPy library.

is a state-based interface to a

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.

The

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:

# 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()

# 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()

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