Open In App

Matplotlib.axes.Axes.axvspan() in Python

Improve
Improve
Like Article
Like
Save
Share
Report

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.axvspan() Function

The Axes.axvspan() function in axes module of matplotlib library is used to add a vertical span (rectangle) across the axis.

Syntax:

Axes.axvspan(self, xmin, xmax, ymin=0, ymax=1, **kwargs)

Parameters: This method accept the following parameters that are described below:

  • xmin: This parameter indicates the first X-axis coordinate of the vertical span rectangle in data units.
  • xmax: This parameter indicates the second X-axis coordinate of the vertical span rectangle in data units.
  • ymin: This parameter indicates the first Y-axis coordinate of the vertical span rectangle in relative Y-axis units .
  • ymax: This parameter indicates the second Y-axis coordinate of the vertical span rectangle in relative Y-axis units.

Returns: This returns the vertical span (rectangle) from (xmin, ymin) to (xmax, ymax).

Below examples illustrate the matplotlib.axes.Axes.axhspan() function in matplotlib.axes:

Example-1:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
  
fig, ax = plt.subplots()
  
ax.axvspan(1.5, 2.5, facecolor ='g', alpha = 0.7)
  
ax.set_title('matplotlib.axes.Axes.axvspan() Example')
  
plt.show()


Output:

Example-2:




# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
  
t = np.arange(-3, 4, .1)
s = np.sin(np.pi * t)
  
fig, ax = plt.subplots()
ax.plot(t, s, color ='black')
ax.axhline(y = 1, color ='black')
ax.axvline(x = 1, color ='black')
ax.axvline(x = 0, ymin = 0.75, linewidth = 8,
           color ='green')
ax.axhline(y =.5, xmin = 0.25, xmax = 0.75,
           color ='black')
  
ax.axhspan(0.25, 0.75, facecolor ='green', alpha = 0.7)
ax.axvspan(1.25, 1.55, facecolor ='0.5', alpha = 0.5)
  
ax.set_title('matplotlib.axes.Axes.axvspan() Example')
  
plt.show()


Output:



Last Updated : 13 Apr, 2020
Like Article
Save Article
Previous
Next
Share your thoughts in the comments
Similar Reads