Matplotlib.axes.Axes.set_ymargin() in Python Last Updated : 28 Apr, 2025 Comments Improve Suggest changes Like Article Like Report 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 np import matplotlib.pyplot as plt from 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 = 5 f0 = 3 delta_f = 5.0 s = 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 np import 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: Comment More infoAdvertise with us Next Article Matplotlib.axes.Axes.set_ymargin() in Python S SHUBHAMSINGH10 Follow Improve Article Tags : Python Python-matplotlib Practice Tags : python Similar Reads Matplotlib.axes.Axes.set_xmargin() in Python 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. 2 min read Matplotlib.axes.Axes.set_ylim() in Python 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. 2 min read Matplotlib.axes.Axes.set_ybound() in Python 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. 2 min read Matplotlib.axes.Axes.set_ylabel() in Python 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. 2 min read Matplotlib.axes.Axes.set_yticks() in Python 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. 2 min read Like