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.margins() Function
The Axes.margins() function in axes module of matplotlib library is used to set or retrieve autoscaling margins.
Syntax: Axes.margins(self, *margins, x=None, y=None, tight=True)
Parameters: This method accepts the following parameters.
- *margins: This parameter is used to specify both margins of the x-axis and y-axis limits.
- x, y: These parameter is used to specific margin values for the x-axis and y-axis, respectively.
- tight : This parameter is passed to autoscale_view(), which is executed after a margin is changed.
Return value: The following values are returned by this method.
- xmargin
- ymargin
Below examples illustrate the matplotlib.axes.Axes.margins() function in matplotlib.axes:
Example 1:
Python3
# Implementation of matplotlib function import numpy as npimport matplotlib.pyplot as pltfrom matplotlib.widgets import Slider, Button, RadioButtonsfig, (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.margins(0.5)ax.set_title("Without margin() Function")ax1.set_title("With margin value = 0")fig.suptitle('matplotlib.axes.Axes.margins() 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 pltt = np.arange(0.0, 3.0, 0.01)t1 = np.exp(-t) * np.cos(2 * np.pi * t)fig, [ax1, ax2, ax3] = plt.subplots(nrows = 3)ax1.plot(t, t1, color ="green")ax1.text(1.1, 0.65, 'Original window')ax2.margins(2, 2)ax2.plot(t, t1, color ="green")ax2.text(0, 2.0, 'Zoomed out')ax3.margins(x = 0, y =-0.25)ax3.plot(t, t1, color ="green")ax3.text(1.2, 0.35, 'Zoomed in')fig.suptitle('matplotlib.axes.Axes.margins() function\ Example\n', fontweight ="bold")fig.canvas.draw()plt.show() |
Output:
