Matplotlib.axes.Axes.axhline() in Python

• Last Updated : 13 Apr, 2020

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.axhline() Function

The Axes.axhline() function in axes module of matplotlib library is used to add a horizontal line across the axis.

Syntax:

Axes.axhline(self, y=0, xmin=0, xmax=1, **kwargs)

Parameters: This method accept the following parameters that are described below:

• y: This parameter is the y position in data coordinates of the horizontal line with default value of 0.
• xmin: This parameter should be between 0 and 1, 0 being the far left of the plot, 1 the far right of the plot.Its default value of 0.
• xmax: This parameter should be between 0 and 1, 0 being the far left of the plot, 1 the far right of the plot. Its default value of 1.

Returns: This returns the following:

• lines:This returns the list of Line2D objects representing the plotted data.

Below examples illustrate the matplotlib.axes.Axes.axhline() function in matplotlib.axes:

Example-1:

 # Implementation of matplotlib functionimport matplotlib.pyplot as pltimport numpy as npimport matplotlib.collections as collections  t = np.arange(0.0, 2, 0.01)s1 = np.sin(4 * np.pi * t)s2 = 0.75 * np.sin(8 * np.pi * t)  fig, ax = plt.subplots()  ax.plot(t, s1, color ='black')ax.axhline(0, color ='green', lw = 2)ax.set_title('matplotlib.axes.Axes.axhline() Example')plt.show()

Output: Example-2:

 # Implementation of matplotlib functionimport matplotlib.pyplot as pltimport matplotlib.tri as mtriimport numpy as np  fig, ax = plt.subplots()x = np.arange(0, 8 * np.pi, 0.01)y = np.sin(x)ax.plot(x, y, color ='black')  threshold = 0.35ax.axhline(threshold, color ='green',           lw = 3, alpha = 0.7)  ax.fill_between(x, 0, 1, where = y > threshold,                color ='green', alpha = 0.8,                 transform = ax.get_xaxis_transform())  ax.set_title('matplotlib.axes.Axes.axhline() Example')plt.show()

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