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Matplotlib.axes.Axes.set_yscale() in Python

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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**2.0
ax4.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:



Last Updated : 19 Apr, 2020
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