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_facecolor() Function
The Axes.set_facecolor() function in axes module of matplotlib library is used to set the facecolor of the Axes..
Syntax: Axes.set_facecolor(self, color)
Parameters: This method accept only one parameters.
color: This parameter accepts the color for the facecolor of the axes.Returns:This method does not returns any value.
Below examples illustrate the matplotlib.axes.Axes.set_facecolor() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt x = np.arange(-5, 5, 0.01) y1 = -3 * x*x + 10 * x + 10y2 = 3 * x*x + x fig, ax = plt.subplots() ax.plot(x, y1, x, y2, color ='black') ax.fill_between(x, y1, y2, where = y2 >y1, facecolor ='green', alpha = 0.8) ax.fill_between(x, y1, y2, where = y2 <= y1, facecolor ='black', alpha = 0.8) ax.set_facecolor('# eafff5') ax.set_title('matplotlib.axes.Axes.get_facecolor() \ Example\n', fontsize = 12, fontweight ='bold') plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt t = np.linspace(0.0, 2.0, 201) s = np.sin(2 * np.pi * t) fig, ax = plt.subplots() ax.set_facecolor('# E56B51') ax.set_xlabel('x-axis') ax.set_ylabel('y-axis') ax.plot(t, s, ) ax.set_title('matplotlib.axes.Axes.get_facecolor()\ Example\n', fontsize = 12, fontweight ='bold') plt.show() |
Output:
