Matplotlib.pyplot.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. 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.The sca() method pyplot module of matplotlib library is used to set the current axes to be a.Python3 1== Output:
Example 2:Python3 1== Output: 
matplotlib.pyplot.sca() method
Syntax: matplotlib.pyplot.sca(self, a) Parameters: This method accept the following parameters that are discussed below:Below examples illustrate the matplotlib.pyplot.sca() function in matplotlib.figure: Example 1:Returns: This method returns the axes.
- a:This parameter is the current axes.
# 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)
plt.sca(ax[0])
plt.plot(x, y1)
plt.sca(ax[1])
plt.plot(x, y2)
fig.suptitle("""matplotlib.pyplot.sca()
function Example\n\n""", fontweight ="bold")
plt.show()

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