matplotlib.pyplot.barh

matplotlib.pyplot.barh(y, width, height=0.8, left=None, *, align='center', **kwargs)

Make a horizontal bar plot.

The bars are positioned at y with the given alignment. Their dimensions are given by width and height. The horizontal baseline is left (default 0).

Many parameters can take either a single value applying to all bars or a sequence of values, one for each bar.

Parameters:

yfloat or array-like

The y coordinates of the bars. See also align for the alignment of the bars to the coordinates.

widthfloat or array-like

The width(s) of the bars.

heightfloat or array-like, default: 0.8

The heights of the bars.

leftfloat or array-like, default: 0

The x coordinates of the left sides of the bars.

align{'center', 'edge'}, default: 'center'

Alignment of the base to the y coordinates*:

• 'center': Center the bars on the y positions.
• 'edge': Align the bottom edges of the bars with the y positions.

To align the bars on the top edge pass a negative height and align='edge'.

Returns:

BarContainer

Container with all the bars and optionally errorbars.

Other Parameters:

colorcolor or list of color, optional

The colors of the bar faces.

edgecolorcolor or list of color, optional

The colors of the bar edges.

linewidthfloat or array-like, optional

Width of the bar edge(s). If 0, don't draw edges.

tick_labelstr or list of str, optional

The tick labels of the bars. Default: None (Use default numeric labels.)

xerr, yerrfloat or array-like of shape(N,) or shape(2, N), optional

If not None, add horizontal / vertical errorbars to the bar tips. The values are +/- sizes relative to the data:

• scalar: symmetric +/- values for all bars
• shape(N,): symmetric +/- values for each bar
• shape(2, N): Separate - and + values for each bar. First row contains the lower errors, the second row contains the upper errors.
• None: No errorbar. (default)

See Different ways of specifying error bars for an example on the usage of xerr and yerr.

ecolorcolor or list of color, default: 'black'

The line color of the errorbars.

capsizefloat, default: rcParams["errorbar.capsize"] (default: 0.0)

The length of the error bar caps in points.

error_kwdict, optional

Dictionary of kwargs to be passed to the errorbar method. Values of ecolor or capsize defined here take precedence over the independent kwargs.

logbool, default: False

If True, set the x-axis to be log scale.

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

See also

bar

Plot a vertical bar plot.

Notes

Stacked bars can be achieved by passing individual left values per bar. See Discrete distribution as horizontal bar chart .

Examples using matplotlib.pyplot.barh

Discrete distribution as horizontal bar chart