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# matplotlib.axes.Axes.vlines() 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.

## matplotlib.axes.Axes.vlines() Function

The Axes.vlines() function in axes module of matplotlib library is used to Plot vertical lines at each x from ymin to ymax.

Syntax: Axes.vlines(self, x, ymin, ymax, colors=’k’, linestyles=’solid’, label=”, *, data=None, **kwargs)

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

• x: This parameter is the sequence of x-indexes where to plot the lines.
• ymin, ymax: These parameter contains an array.And they represents the beginning and end of each line.
• colors: This parameter is an optional parameter. And it is the color of the lines with default value k.
• linetsyle: This parameter is also an optional parameter. And it is used to represent the linestyle{‘solid’, ‘dashed’, ‘dashdot’, ‘dotted’}.
• label: This parameter is also an optional parameter.It is the label of the plot.

Returns: This returns the LineCollection.

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

Example #1:

 `# Implementation of matplotlib function``      ` `import` `numpy as np``from` `matplotlib ``import` `patches``import` `matplotlib.pyplot as plt`` ` `fig, ax ``=` `plt.subplots()``ax.vlines([``1``, ``2``, ``3``, ``4``], ``0``, ``1``, ``          ``color ``=``"green"``,``          ``transform ``=` `ax.get_xaxis_transform())`` ` `ax.set_title(``'matplotlib.axes.Axes.vlines Example'``)`` ` `plt.show()`

Output:

Example #2:

 `# Implementation of matplotlib function``      ` `import` `numpy as np``from` `matplotlib ``import` `patches``import` `matplotlib.pyplot as plt``  ` `t ``=` `np.arange(``0.0``, ``5.0``, ``0.1``)``s ``=` `np.exp(``-``t) ``+` `np.cos(``3` `*` `np.pi ``*` `t) ``+` `np.sin(np.pi ``*` `t)``nse ``=` `np.random.normal(``0.0``, ``0.8``, t.shape) ``*` `s`` ` `fig, ax ``=` `plt.subplots()`` ` `ax.vlines(t, [``0``], s)``ax.vlines([``1``, ``2``], ``0``, ``1``, color ``=``"lightgreen"``, ``          ``transform ``=` `ax.get_xaxis_transform())`` ` `ax.set_xlabel(``'time (s)'``)``ax.set_title(``'matplotlib.axes.Axes.vlines Example'``)`` ` `plt.show()`

Output:

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