matplotlib.pyplot.figure() in Python
Last Updated :
03 Feb, 2023
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:
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()
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Output:
Example #2:
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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Output:
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