matplotlib.pyplot.axhline() in Python
Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface.
matplotlib.pyplot.axhline() Function
The axhline() function in pyplot module of matplotlib library is used to add a horizontal line across the axis.
Syntax: matplotlib.pyplot.axhline(y=0, xmin=0, xmax=1, **kwargs)
Parameters: This method accept the following parameters that are described below:
- y: This parameter is an optional and it is position in data coordinates of the horizontal line.
- xmin: This parameter is a scalar and optional. Its default value is 0.
- xmax: This parameter is a scalar and optional. Its default value is 1.
Returns: This returns the following:
line : This returns the line created by this function.
Below examples illustrate the matplotlib.pyplot.axhline() function in matplotlib.pyplot:
Example #1:
import numpy as np
import matplotlib.pyplot as plt
t = np.linspace( - 10 , 10 , 100 )
sig = 1 / t
plt.axhline(y = 0 , color = "green" , linestyle = "--" )
plt.axhline(y = 0.5 , color = "green" , linestyle = ":" )
plt.axhline(y = 1.0 , color = "green" , linestyle = "--" )
plt.axvline(color = "black" )
plt.plot(t, sig, linewidth = 2 ,
label = r "$\sigma(t) = \frac{1}{x}$" )
plt.xlim( - 10 , 10 )
plt.xlabel( "t" )
plt.title( "Graph of 1 / x" )
plt.legend(fontsize = 14 )
plt.show()
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Output:
Example #2:
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace( 0 , 13 , 100 )
plt.rcParams[ 'lines.linewidth' ] = 2
plt.figure()
plt.plot(x, np.sin(x), label = 'Line1' ,
color = 'green' , linestyle = "--" )
plt.plot(x, np.sin(x + 0.5 ), label = 'Line2' ,
color = 'black' , linestyle = ":" )
plt.axhline( 0 , label = 'Line3' , color = 'black' )
plt.title( 'Axhline() Example' )
l = plt.legend(loc = 'upper right' )
l.set_zorder( 2.5 )
plt.show()
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Output:
Last Updated :
12 Apr, 2020
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