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Matplotlib.axes.Axes.axhline() in Python

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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 function
import matplotlib.pyplot as plt
import numpy as np
import 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 function
import matplotlib.pyplot as plt
import matplotlib.tri as mtri
import 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 = 0.35
ax.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()

                    
Output:

Last Updated : 13 Apr, 2020
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