Skip to content
Related Articles

Related Articles

Improve Article
Save Article
Like Article

Matplotlib.pyplot.ylim() in Python

  • Last Updated : 13 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.ylim() Function

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning - Basic Level Course

The ylim() function in pyplot module of matplotlib library is used to get or set the y-limits of the current axes.

Syntax: matplotlib.pyplot.ylim(*args, **kwargs)



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

  • bottom: This parameter is used to set the ylim to bottom.
  • top: This parameter is used to set the ylim to top.
  • **kwargs: This parameter is Text properties that is used to control the appearance of the labels.

Returns: This returns the following:

  • bottom, top :This returns the tuple of the new y-axis limits.

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

Example #1:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
  
ax = plt.subplot(111)
  
t = np.arange(0.0, 5.0, 0.01)
s = np.cos(2 * np.pi * t)
line, = plt.plot(t, s, lw = 2)
  
plt.annotate('local max', xy =(2, 1),
             xytext =(3, 1.5),
             arrowprops = dict(facecolor ='black',
                               shrink = 0.05), )
  
plt.ylim(-2, 2)
plt.title(" matplotlib.pyplot.ylim() Example")
plt.show()

Output:

Example #2:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
  
np.random.seed(9680801)
  
mu, sigma = 50, 13
x = mu + sigma * np.random.randn(10000)
  
# the histogram of the data
n, bins, patches = plt.hist(x, 50
                            density = True,
                            facecolor ='g',
                            alpha = 0.75)
  
  
plt.xlabel('No of Users in K')
plt.title('Histogram of IQ')
plt.text(50, .035, r'$\mu = 50,\
\ \sigma = 13$')
  
plt.xlim(-10, 110)
plt.ylim(0, 0.04)
  
plt.grid(True)
plt.title(" matplotlib.pyplot.ylim() Example")
  
plt.show()

Output:




My Personal Notes arrow_drop_up
Recommended Articles
Page :

Start Your Coding Journey Now!