Matplotlib.axes.Axes.set_yscale() in Python
Last Updated :
19 Apr, 2020
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:
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()
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Output:
Example 2:
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()
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Output:
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