Open In App

Matplotlib.pyplot.ylabels() 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. 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()


Output:



Last Updated : 12 Apr, 2020
Like Article
Save Article
Previous
Next
Share your thoughts in the comments
Similar Reads