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matplotlib.pyplot.figure() in Python

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  • Difficulty Level : Basic
  • Last Updated : 22 Apr, 2020

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 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:




# 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:




# 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:


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