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_ymargin() Function
The Axes.set_ymargin() function in axes module of matplotlib library is used to set padding of Y data limits prior to autoscaling.
Syntax: Axes.set_ymargin(self, m)
Parameters: This method accepts the following parameters.
- m: This parameter is used to specific margin values for the y-axis.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axes.Axes.set_ymargin() function in matplotlib.axes:
Example 1:
Python3
# Implementation of matplotlib function import numpy as npimport matplotlib.pyplot as pltfrom matplotlib.widgets import Slider, Button, RadioButtons fig, (ax, ax1) = plt.subplots(1, 2)plt.subplots_adjust(bottom = 0.25)t = np.arange(0.0, 1.0, 0.001)a0 = 5f0 = 3delta_f = 5.0s = a0 * np.sin(2 * np.pi * f0 * t)ax.plot(t, s, lw = 2, color = 'green') ax1.plot(t, s, lw = 2, color = 'green')ax1.set_ymargin(0.5) ax.set_title("Without set_ymargin() Function")ax1.set_title("With set_ymargin value = 0.5") fig.suptitle('matplotlib.axes.Axes.set_ymargin() \function Example\n', fontweight ="bold")fig.canvas.draw()plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function import numpy as npimport matplotlib.pyplot as plt t = np.arange(0, 3, 1)t1 = np.cos(np.pi * t) + np.sin(np.pi * t) fig, [ax1, ax2, ax3] = plt.subplots(nrows = 3)ax1.plot(t1, color ="green")ax1.text(0.75, 0.65, 'Original window') ax2.set_ymargin(2)ax2.plot(t1, color ="green")ax2.text(0.8, 3, 'Zoomed out') ax3.set_ymargin(-0.45)ax3.plot(t1, color ="green")ax3.text(0.8, 0.05, 'Zoomed in') fig.suptitle('matplotlib.axes.Axes.set_ymargin() \function Example\n', fontweight ="bold")fig.canvas.draw()plt.show() |
Output:
