Matplotlib.pyplot.ylabels() in Python

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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.ylabel() Function

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

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

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

ylabel: 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.ylabel() function in matplotlib.pyplot:

Example #1:

# Implementation of matplotlib.pyplot.ylabels()  
# 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('ylabels() function') 
plt.grid(True) 
   
plt.show() 

Output:

Example #2:

# Implementation of matplotlib.pyplot.ylabels()  
# 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('ylabel() Example') 
plt.ylabel('Damped oscillation') 
  
plt.subplot(2, 1, 2) 
plt.plot(x2, y2, '.-') 
plt.xlabel('time (s)') 
plt.ylabel('Undamped') 
  
plt.show() 