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_yscale() Function
The Axes.set_yscale() function in axes module of matplotlib library is used to set the y-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_yscale() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.set_yscale("log") ax.set_adjustable("datalim") ax.plot([1, 3, 10], [1, 9, 100], "o-", color ="green") ax.set_ylim(1e-1, 1e3) ax.set_aspect(1) fig.suptitle('matplotlib.axes.Axes.set_yscale()\ 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_yscale() \ function Example\n', fontweight ="bold") plt.show() |
Output:
