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:
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()
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Output:

Example #2:
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()
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Output:

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Last Updated :
12 Apr, 2020
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