matplotlib.axes.Axes.axvline#
- Axes.axvline(x=0, ymin=0, ymax=1, **kwargs)[source]#
Add a vertical line across the Axes.
- Parameters:
- xfloat, default: 0
x position in data coordinates of the vertical line.
- yminfloat, default: 0
Should be between 0 and 1, 0 being the bottom of the plot, 1 the top of the plot.
- ymaxfloat, default: 1
Should be between 0 and 1, 0 being the bottom of the plot, 1 the top of the plot.
- Returns:
- Other Parameters:
- **kwargs
Valid keyword arguments are
Line2D
properties, except for 'transform':Property
Description
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
scalar or None
bool
antialiased
or aabool
BboxBase
or Nonebool
Patch or (Path, Transform) or None
color
or cCapStyle
or {'butt', 'projecting', 'round'}JoinStyle
or {'miter', 'round', 'bevel'}sequence of floats (on/off ink in points) or (None, None)
(2, N) array or two 1D arrays
drawstyle
or ds{'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default'
{'full', 'left', 'right', 'bottom', 'top', 'none'}
color or None
str
bool
object
linestyle
or ls{'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
linewidth
or lwfloat
marker style string,
Path
orMarkerStyle
markeredgecolor
or mecmarkeredgewidth
or mewfloat
markerfacecolor
or mfcmarkerfacecoloralt
or mfcaltmarkersize
or msfloat
None or int or (int, int) or slice or list[int] or float or (float, float) or list[bool]
bool
list of
AbstractPathEffect
float or callable[[Artist, Event], tuple[bool, dict]]
float
bool
(scale: float, length: float, randomness: float)
bool or None
CapStyle
or {'butt', 'projecting', 'round'}JoinStyle
or {'miter', 'round', 'bevel'}unknown
str
bool
1D array
1D array
float
See also
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
#
Plot a confidence ellipse of a two-dimensional dataset
Colors in the default property cycle
SkewT-logP diagram: using transforms and custom projections