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Matplotlib.pyplot.xlim() in Python

  • Last Updated : 27 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. There are various plots which can be used in Pyplot are Line Plot, Contour, Histogram, Scatter, 3D Plot, etc.
#Sample Code

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# sample code
import matplotlib.pyplot as plt 
    
plt.plot([1, 2, 3, 4], [16, 4, 1, 8]) 
plt.show() 

Output:

matplotlib.pyplot.xlim() Function

The xlim() function in pyplot module of matplotlib library is used to get or set the x-limits of the current axes.
Syntax:



matplotlib.pyplot.xlim(*args, **kwargs)

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

  • left: This parameter is used to set the xlim to left.
  • right: This parameter is used to set the xlim to right.
  • **kwargs: This parameter is Text properties that is used to control the appearance of the labels.

Returns: This returns the following:

  • left, right: This returns the tuple of the new x-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
  
h = plt.plot(np.arange(0, 10), np.arange(0, 10))
plt.xlim([-5, 20])
l1 = np.array((1, 1))
angle = 65
  
th1 = plt.text(l1[0], l1[1], 'Line_angle',
               fontsize = 10, rotation = angle,
               rotation_mode ='anchor')
  
plt.title(" matplotlib.pyplot.xlim() 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.xlim() Example")
plt.show()

Output:




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