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:
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.