Matplotlib.axes.Axes.set_facecolor() in Python
Last Updated :
19 Apr, 2020
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:
import numpy as np
import matplotlib.pyplot as plt
x = np.arange( - 5 , 5 , 0.01 )
y1 = - 3 * x * x + 10 * x + 10
y2 = 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:
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:
Share your thoughts in the comments
Please Login to comment...