Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.set() Function
The Axes.set() function in axes module of matplotlib library is a property batch setter. Pass kwargs to set properties.
Syntax: Axes.set(self, **kwargs)
Parameters: This method does not accepts any parameters other than **kwargs.
Below examples illustrate the matplotlib.axes.Axes.set() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib import matplotlib.pyplot as plt import numpy as np t = np.arange(0.0, 2, 0.001) s = 1 + np.sin(8 * np.pi * t)*0.4 fig, ax = plt.subplots() ax.plot(t, s) ax.set(xlabel ='X-Axis', ylabel ='Y-Axis', xlim =(0, 1.5), ylim =(0.5, 1.5), title ='matplotlib.axes.Axes.set()\ function Example') ax.grid() plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt np.random.seed(19680801) fig, ax = plt.subplots() x, y, s, c = np.random.rand(4, 200) s *= 200 ax.scatter(x, y, s, c) ax.set(xlabel ='X-Axis', ylabel ='Y-Axis', xlim =(0, 0.5), ylim =(0, 0.5), title ='matplotlib.axes.Axes.set()\ function Example') ax.grid() plt.show() |
Output:
