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.
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:
# 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() |
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): 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() |
Output:
