Matplotlib.pyplot.xscale() function in Python

Last Updated : 05 Jun, 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.

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()