Open In App

Matplotlib.axes.Axes.xaxis_inverted() 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.xaxis_inverted() Function

The Axes.xaxis_inverted() function in axes module of matplotlib library return whether the x-axis is inverted or not.

Syntax: Axes.xaxis_inverted(self)

Parameters: This method does not accepts any parameters.

Returns:This method return whether the x-axis is inverted or not.

Below examples illustrate the matplotlib.axes.Axes.xaxis_inverted() 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.invert_xaxis()
  
ax.set_title('matplotlib.axes.Axes.xaxis_inverted()\
 Example\n',
             fontsize = 14, fontweight ='bold')
x = ax.xaxis_inverted()
ans ="No"
if x:
    ans ="Yes"
ax.text(2.2, 1.02, "X-axis is inverted ? : " + ans,
        style ='italic', fontsize = 12)
  
plt.show()


Output:

Example 2:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
   
np.random.seed(19680801)
plt.rcdefaults()
fig, ax = plt.subplots()
  
people = ('Geek1', 'Geek2', 'Geek3',
          'Geek4', 'Geek5')
y_pos = np.arange(len(people))
performance = 3 + 4.5 * np.random.rand(len(people))**2
error = np.random.rand(len(people))
  
ax.barh(y_pos, performance, xerr = error, 
        align ='center', color ="green")
ax.set_yticks(y_pos)
ax.set_yticklabels(people)
  
ax.invert_xaxis()  
ax.set_xlabel('Performance')
x = ax.xaxis_inverted()
ans ="No"
if x:
    ans ="Yes"
      
ax.set_title('matplotlib.axes.Axes.xaxis_inverted()\
Example\n',
             fontsize = 14, fontweight ='bold')
ax.text(6, 4.75, "X-axis is inverted ? : " + ans, 
        style ='italic', fontsize = 12)
  
plt.show()


Output:



Last Updated : 19 Apr, 2020
Like Article
Save Article
Previous
Next
Share your thoughts in the comments
Similar Reads