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
# ImpleIn Reviewtation of matplotlib function import numpy as npimport matplotlib.pyplot as pltxdata = 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() |
Output:
Example 2:
Python3
# ImpleIn Reviewtation of matplotlib function import numpy as npimport matplotlib.pyplot as pltxdata = 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() |
Output:
