Matplotlib.axes.Axes.axvline() in Python
Last Updated :
21 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.axvline() Function
The Axes.axvline() function in axes module of matplotlib library is used to add a vertical line across the axis.
Syntax: Axes.axvline(self, x=0, ymin=0, ymax=1, **kwargs)
Parameters: This method accept the following parameters that are described below:
- x: This parameter is the x position in data coordinates of the vertical line with default value of 0.
- ymin: This parameter should be between 0 and 1, 0 being the bottom of the plot, 1 the top of the plot.Its default value of 0.
- ymax: This parameter should be between 0 and 1, 0 being the bottom of the plot, 1 the top 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:
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.collections as collections
t = np.arange( 0.0 , 5 , 0.01 )
s1 = np.sin( 4 * np.pi * t)
fig, ax = plt.subplots()
ax.plot(t, s1, color = 'black' , alpha = 0.75 , lw = 1 )
ax.axvline( 3 , color = 'green' , lw = 2 , alpha = 0.75 )
ax.set_title( 'matplotlib.axes.Axes.axvline() Example' )
plt.show()
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Output:
Example 2:
import matplotlib.pyplot as plt
import numpy as np
t = np.linspace( - 10 , 10 , 100 )
sig = 1 / t * * 2
fig, ax = plt.subplots()
plt.axvline(color = "green" , alpha = 0.8 , lw = 1.5 )
plt.plot(t, sig, linewidth = 1.5 , color = "black" ,
alpha = 0.6 ,
label = r "$\sigma(t) = \frac{1}{x ^ 2}$" )
plt.xlim( - 10 , 10 )
plt.xlabel( "t" )
plt.legend(fontsize = 14 )
ax.set_title( 'matplotlib.axes.Axes.axvline() Example' )
plt.show()
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Output:
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