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 npimport 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 npimport 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:
