Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.set_xscale() Function
The Axes.set_xscale() function in axes module of matplotlib library is used to set the x-axis scale.
Syntax: Axes.set_xscale(self, value, **kwargs)
Parameters: This method accepts the following parameters.
- 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.
Below examples illustrate the matplotlib.axes.Axes.set_xscale() function in matplotlib.axes:
Example 1:
# 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 fig, ax0 = plt.subplots() ax0.set_xscale('log') formatter0 = EngFormatter(unit ='Hz') ax0.xaxis.set_major_formatter(formatter0) ax0.plot(xs, ys) ax0.set_xlabel('Frequency') fig.suptitle('matplotlib.axes.Axes.set_xscale() \ function Example\n', fontweight ="bold") plt.show() |
Output:
Example 2:
# 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**2.0ax4.set_xscale("log", nonposx ='clip') ax4.set_yscale("log", nonposy ='clip') ax4.errorbar(x, y, xerr = 0.1 * x, yerr = 2.0 + 1.75 * y, color ="green") ax4.set_ylim(bottom = 0.1) fig.suptitle('matplotlib.axes.Axes.set_xscale()\ function Example\n', fontweight ="bold") plt.show() |
Output:
