matplotlib.axes.Axes.axvline

Axes.axvline(x=0, ymin=0, ymax=1, **kwargs)

Add a vertical line spanning the whole or fraction of the Axes.

Note: If you want to set y-limits in data coordinates, use vlines instead.

Parameters:

xfloat, default: 0

x position in data coordinates.

yminfloat, default: 0

The start y-position in axes coordinates. Should be between 0 and 1, 0 being the bottom of the plot, 1 the top of the plot.

ymaxfloat, default: 1

The end y-position in axes coordinates. Should be between 0 and 1, 0 being the bottom of the plot, 1 the top of the plot.

Returns:

Line2D

A Line2D specified via two points (x, ymin), (x, ymax). Its transform is set such that x is in data coordinates and y is in axes coordinates.

This is still a generic line and the vertical character is only realized through using identical x values for both points. Thus, if you want to change the x value later, you have to provide two values line.set_xdata([3, 3]).

Other Parameters:

**kwargs

Valid keyword arguments are Line2D properties, except for 'transform':

Property	Description
agg_filter	a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image
alpha	float or None
animated	bool
antialiased or aa	bool
clip_box	BboxBase or None
clip_on	bool
clip_path	Patch or (Path, Transform) or None
color or c	color
dash_capstyle	CapStyle or {'butt', 'projecting', 'round'}
dash_joinstyle	JoinStyle or {'miter', 'round', 'bevel'}
dashes	sequence of floats (on/off ink in points) or (None, None)
data	(2, N) array or two 1D arrays
drawstyle or ds	{'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default'
figure	Figure or SubFigure
fillstyle	{'full', 'left', 'right', 'bottom', 'top', 'none'}
gapcolor	color or None
gid	str
in_layout	bool
label	object
linestyle or ls	{'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
linewidth or lw	float
marker	marker style string, Path or MarkerStyle
markeredgecolor or mec	color
markeredgewidth or mew	float
markerfacecolor or mfc	color
markerfacecoloralt or mfcalt	color
markersize or ms	float
markevery	None or int or (int, int) or slice or list[int] or float or (float, float) or list[bool]
mouseover	bool
path_effects	list of AbstractPathEffect
picker	float or callable[[Artist, Event], tuple[bool, dict]]
pickradius	float
rasterized	bool
sketch_params	(scale: float, length: float, randomness: float)
snap	bool or None
solid_capstyle	CapStyle or {'butt', 'projecting', 'round'}
solid_joinstyle	JoinStyle or {'miter', 'round', 'bevel'}
transform	unknown
url	str
visible	bool
xdata	1D array
ydata	1D array
zorder	float

See also

vlines

Add vertical lines in data coordinates.

axvspan

Add a vertical span (rectangle) across the axis.

axline

Add a line with an arbitrary slope.

Examples

• draw a thick red vline at x = 0 that spans the yrange:

  >>> axvline(linewidth=4, color='r')
  

• draw a default vline at x = 1 that spans the yrange:

  >>> axvline(x=1)
  

• draw a default vline at x = .5 that spans the middle half of the yrange:

  >>> axvline(x=.5, ymin=0.25, ymax=0.75)
  

Examples using matplotlib.axes.Axes.axvline

Cross-hair cursor

Cross-hair cursor

Infinite lines

Infinite lines

SkewT-logP diagram: using transforms and custom projections

SkewT-logP diagram: using transforms and custom projections

Plot a confidence ellipse of a two-dimensional dataset

Plot a confidence ellipse of a two-dimensional dataset

Draw regions that span an Axes

Draw regions that span an Axes

Secondary Axis

Secondary Axis

Usetex text baseline

Usetex text baseline

The Lifecycle of a Plot

The Lifecycle of a Plot

Annotations

Annotations