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.
The Axes.set_autoscaley_on() function in axes module of matplotlib library is used to set whether autoscaling for the y-axis is applied on plot commands.
Syntax: Axes.set_autoscaley_on(self, b)
Parameters: This method accepts the following parameters.
- b: This parameter is used to set whether autoscaling for the y-axis is applied on plot commands.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axes.Axes.set_autoscaley_on() function in matplotlib.axes:
Example 1:
Python3
# ImpleIn Reviewtation of matplotlib function import numpy as np import matplotlib.pyplot as plt t = np.linspace( 0 , 20 , 300 ) xdata = np.sin(np.pi * t / 12 ) ydata = np.cos( 4 * np.pi * t / 21 ) fig, ax = plt.subplots() ax.plot(xdata, ydata, 'g-' ) ax.set_autoscaley_on( False ) fig.suptitle('matplotlib.axes.Axes.set_autoscaley_on() \ function Example\n', fontweight = "bold" ) fig.canvas.draw() plt.show() |
Output:
Example 2:
Python3
# ImpleIn Reviewtation of matplotlib function import numpy as np import matplotlib.pyplot as plt t = np.linspace( 16 , 365 , ( 365 - 16 ) * 4 ) xdata = np.sin( 2 * np.pi * t / 15 ) ydata = np.cos( 2 * np.pi * t / 12 ) fig, (ax, ax1) = plt.subplots( 1 , 2 ) ax.plot(xdata, ydata, 'g-' ) ax1.set_autoscaley_on( True ) ax.set_title( "set_autoscaley_on value : True" ) ax1.plot(xdata, ydata, 'g-' ) ax1.set_autoscaley_on( False ) ax1.set_title( "set_autoscaley_on value : False" ) fig.suptitle('matplotlib.axes.Axes.set_autoscaley_on()\ function Example\n', fontweight = "bold" ) fig.canvas.draw() plt.show() |
Output: