Skip to content
Related Articles

Related Articles

Improve Article
Save Article
Like Article

Matplotlib.pyplot.xlabels() in Python

  • Difficulty Level : Easy
  • Last Updated : 12 Apr, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface.

matplotlib.pyplot.xlabel() Function

The xlabel() function in pyplot module of matplotlib library is used to set the label for the x-axis..

Syntax: matplotlib.pyplot.xlabel(xlabel, fontdict=None, labelpad=None, **kwargs)

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

  • xlabel: This parameter is the label text. And contains the string value.
  • labelpad: This parameter is used for spacing in points from the axes bounding box including ticks and tick labels and its default value is None.
  • **kwargs: This parameter is Text properties that is used to control the appearance of the labels.

Below examples illustrate the matplotlib.pyplot.xlabel() function in matplotlib.pyplot:

Example #1:




# Implementation of matplotlib.pyplot.xlabels()
# function
   
import numpy as np
import matplotlib.pyplot as plt
  
t = np.arange(-180.0, 180.0, 0.1)
s = np.radians(t)/2.
  
plt.plot(t, s, '-', lw = 2)
  
plt.xlabel('Longitude')
plt.ylabel('Latitude')
plt.title('xlabels() function')
plt.grid(True)
  
plt.show()

Output:

Example #2:




# Implementation of matplotlib.pyplot.xlabels()
# function
   
import numpy as np
import matplotlib.pyplot as plt
  
valx1 = np.linspace(0.0, 5.0)
x2 = np.linspace(0.0, 2.0)
  
valy1 = np.cos(2 * np.pi * valx1) * np.exp(-valx1)
y2 = np.cos(2 * np.pi * x2)
  
plt.subplot(2, 1, 1)
plt.plot(valx1, valy1, 'o-')
plt.title('xlabel() Example')
plt.ylabel('Damped oscillation')
  
plt.subplot(2, 1, 2)
plt.plot(x2, y2, '.-')
plt.xlabel('time (s)')
plt.ylabel('Undamped')
  
plt.show()

Output:


My Personal Notes arrow_drop_up
Recommended Articles
Page :

Start Your Coding Journey Now!