# Matplotlib.pyplot.xlim() in Python

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

 # 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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