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: