Matplotlib.pyplot.sca() in Python
Last Updated :
03 May, 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.sca() method
The sca() method pyplot module of matplotlib library is used to set the current axes to be a.
Syntax: matplotlib.pyplot.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.pyplot.sca() function in matplotlib.figure:
Example 1:
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(
, fontweight = "bold")
plt.show()
|
Output:
Example 2:
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(
, fontweight = "bold")
plt.show()
|
Output:
Share your thoughts in the comments
Please Login to comment...