Matplotlib.axes.Axes.set_autoscaley_on() in Python

0 0 1 minute read

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_autoscaley_on() Function

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()