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Matplotlib.figure.Figure.sca() in Python

Last Updated : 03 May, 2020
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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.sca() method

The sca() method figure module of matplotlib library is used to set the current axes to be a.

Syntax: sca(self, a)

Parameters: This method accept the following parameters that are discussed below:

  • a:This parameter is the current axes.

Returns: This method returns the axes.

Below examples illustrate the matplotlib.figure.Figure.sca() function in matplotlib.figure:

Example 1:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
from scipy import sin, cos
  
  
fig, ax = plt.subplots(2, 1)
  
x = [1, 2, 3, 4, 5, 6, 7, 8, 9]
y1 = sin(x)
y2 = cos(x)
  
fig.sca(ax[0])
plt.plot(x, y1)
  
fig.sca(ax[1])
plt.plot(x, y2)
  
fig.suptitle("""matplotlib.figure.Figure.sca()
function Example\n\n""", fontweight ="bold") 
    
plt.show() 


Output:

Example 2:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
   
fig, axes = plt.subplots(2, 2
axes = axes.flatten() 
for i in range(4):
    fig.sca(axes[i])
    axes[i].text(0.5, 0.5, i + 1)
      
fig.suptitle("""matplotlib.figure.Figure.sca()
function Example\n\n""", fontweight ="bold") 
    
plt.show()  


Output:



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