Matplotlib.pyplot.xscale() function in Python (original) (raw)

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:

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 = 10.0np.linspace(0.0, 2.0, 15) y = x2.0 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:

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