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Matplotlib.axes.Axes.set_autoscalex_on() 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_autoscalex_on() Function

The Axes.set_autoscalex_on() function in axes module of matplotlib library is used to set whether autoscaling for the x-axis is applied on plot commands.

Syntax: Axes.set_autoscalex_on(self, b)

Parameters: This method accepts the following parameters.

  • b: This parameter is used to set whether autoscaling for the x-axis is applied on plot commands.

Return value: This method does not return any value.



Below examples illustrate the matplotlib.axes.Axes.set_autoscalex_on() function in matplotlib.axes:

Example 1:

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# 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_autoscalex_on(False)
  
fig.suptitle('matplotlib.axes.Axes.set_autoscalex_on() \
function Example\n', fontweight ="bold")
fig.canvas.draw()
plt.show()

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Output:

Example 2:

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# 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_autoscalex_on(True)
ax.set_title("set_autoscalex_on value : True")
ax1.plot(xdata, ydata, 'g-')
ax1.set_autoscalex_on(False)
ax1.set_title("set_autoscalex_on vale : False")
   
fig.suptitle('matplotlib.axes.Axes.set_autoscalex_on() \
function Example\n', fontweight ="bold")
fig.canvas.draw()
plt.show()

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Output:

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