Matplotlib.pyplot.xscale() function 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.

matplotlib.pyplot.xscale() function

The xscale() function in pyplot module of matplotlib library is used to set the x-axis scale. 

Syntax: matplotlib.pyplot.xscale(value, \*\*kwargs)

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

• value: This parameter is the axis scale type to apply.
• **kwargs: There are different keyword arguments which are accepted and its depend on the scale.

Returns: This method does not returns any value. 

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

Example 1:

Python3

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import EngFormatter

val = np.random.RandomState(19680801)
xs = np.logspace(1, 9, 100)
ys = (0.8 + 4 * val.uniform(size = 100)) * np.log10(xs)**2

plt.xscale('log')
plt.plot(xs, ys)
plt.xlabel('Frequency')

plt.title('matplotlib.pyplot.xscale() \
function Example\n', fontweight ="bold")

plt.show()

Output:

Example 2:

Python3

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt

fig, ax4 = plt.subplots()

x = 10.0**np.linspace(0.0, 2.0, 15)
y = x**2.0
plt.xscale("log", nonposx ='clip')
plt.yscale("log", nonposy ='clip')

plt.errorbar(x, y, xerr = 0.1 * x,
             yerr = 2.0 + 1.75 * y,
             color ="green")

plt.ylim(bottom = 0.1)

plt.title('matplotlib.pyplot.xscale() \
function Example\n', fontweight ="bold")

plt.show()

Output: