matplotlib.axes.Axes.axvspan#

Axes.axvspan(xmin, xmax, ymin=0, ymax=1, **kwargs)[source]#

Add a vertical span (rectangle) across the Axes.

The rectangle spans from xmin to xmax horizontally, and, by default, the whole y-axis vertically. The y-span can be set using ymin (default: 0) and ymax (default: 1) which are in axis units; e.g. ymin = 0.5 always refers to the middle of the y-axis regardless of the limits set by set_ylim.

Parameters:

xminfloat: Lower x-coordinate of the span, in data units.
xmaxfloat: Upper x-coordinate of the span, in data units.
yminfloat, default: 0: Lower y-coordinate of the span, in y-axis units (0-1).
ymaxfloat, default: 1: Upper y-coordinate of the span, in y-axis units (0-1).

Returns:

Polygon: Vertical span (rectangle) from (xmin, ymin) to (xmax, ymax).

Other Parameters:

**kwargsPolygon properties

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`	scalar or None
`animated`	bool
`antialiased` or aa	bool or None
`capstyle`	`CapStyle` or {'butt', 'projecting', 'round'}
`clip_box`	`Bbox`
`clip_on`	bool
`clip_path`	Patch or (Path, Transform) or None
`closed`	bool
`color`	color
`edgecolor` or ec	color or None
`facecolor` or fc	color or None
`figure`	`Figure`
`fill`	bool
`gid`	str
`hatch`	{'/', '\', '\|', '-', '+', 'x', 'o', 'O', '.', '*'}
`in_layout`	bool
`joinstyle`	`JoinStyle` or {'miter', 'round', 'bevel'}
`label`	object
`linestyle` or ls	{'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
`linewidth` or lw	float or None
`mouseover`	bool
`path_effects`	`AbstractPathEffect`
`picker`	None or bool or float or callable
`rasterized`	bool
`sketch_params`	(scale: float, length: float, randomness: float)
`snap`	bool or None
`transform`	`Transform`
`url`	str
`visible`	bool
`xy`	(N, 2) array-like
`zorder`	float

Examples using `matplotlib.axes.Axes.axvspan`#

axhspan Demo

Transformations Tutorial

matplotlib.axes.Axes.axvspan#

Examples using matplotlib.axes.Axes.axvspan#

Examples using `matplotlib.axes.Axes.axvspan`#