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.get_autoscaley_on() Function
The Axes.get_autoscaley_on() function in axes module of matplotlib library is used to get whether autoscaling for the y-axis is applied on plot commands.
Syntax: Axes.get_autoscaley_on(self)
Parameters: This method does not accepts any parameters.
Return value: This method returns the boolean value.
Below examples illustrate the matplotlib.axes.Axes.get_autoscaley_on() function in matplotlib.axes:
Example 1:
# 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-') w = ax.get_autoscaley_on() ax.text(-0.5, -0.75, "Value return by get_autoscaley_on : " + str(w), fontweight ="bold") fig.suptitle('matplotlib.axes.Axes.get_autoscaley_on() function \ Example\n', fontweight ="bold") fig.canvas.draw() plt.show() |
Output:
Example 2:
# 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-', alpha = 0.6) ax.set_title("Axes 1") ax1.plot(xdata, ydata, 'g-', alpha = 0.6) ax1.set_autoscaley_on(False) ax1.set_title("Axes 2") w = ax.get_autoscaley_on() w1 = ax1.get_autoscaley_on() ax.text(-0.5, 0, "Value return : " + str(w), fontweight ="bold") ax1.text(-0.5, 0.5, "Value return : " + str(w1), fontweight ="bold") fig.suptitle('matplotlib.axes.Axes.get_autoscaley_on() \ function Example\n', fontweight ="bold") fig.canvas.draw() plt.show() |
Output:
