Matplotlib.axes.Axes.set_autoscale_on() in Python
Last Updated :
22 Dec, 2021
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_autoscale_on() Function
The Axes.set_autoscale_on() function in axes module of matplotlib library is used to set whether autoscaling is applied on plot commands.
Syntax: Axes.set_autoscale_on(self, b)
Parameters: This method accepts the following parameters.
- b: This parameter is used to whether to autoscaling is applied on plot commands or not.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axes.Axes.set_autoscale_on() function in matplotlib.axes:
Example 1:
Python3
import numpy as np
import matplotlib.pyplot as plt
xdata = np.linspace( 16 , 365 , 300 )
ydata = np.sin( 2 * np.pi * xdata / 15 ) + np.cos( 2 * np.pi * xdata / 17 )
fig, ax = plt.subplots()
ax.plot(xdata, ydata, 'g-' )
ax.set_autoscale_on( True )
fig.suptitle('matplotlib.axes.Axes.set_autoscale_on() function\
Example\n', fontweight = "bold")
fig.canvas.draw()
plt.show()
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Output:
Example 2:
Python3
import numpy as np
import matplotlib.pyplot as plt
xdata = np.linspace( 16 , 365 , ( 365 - 16 ) * 4 )
ydata = np.sin( 2 * np.pi * xdata / 153 ) + np.cos( 2 * np.pi * xdata / 127 )
fig, (ax, ax1) = plt.subplots( 1 , 2 )
ax.plot(xdata, ydata, 'g-' )
ax1.set_autoscale_on( True )
ax.set_title("set_autoscale_on value : True ")
ax1.plot(xdata, ydata, 'g-' )
ax1.set_autoscale_on( False )
ax1.set_title("set_autoscale_on value : False ")
fig.suptitle('matplotlib.axes.Axes.set_autoscale_on() function \
Example\n', fontweight = "bold")
fig.canvas.draw()
plt.show()
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Output:
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