matplotlib.axes.Axes.barh

Axes.barh(y, width, height=0.8, left=None, *, align='center', **kwargs)[source]

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

scalar or None

angle

unknown

animated

bool

antialiased or aa

bool or None

bounds

(left, bottom, width, height)

capstyle

CapStyle or {'butt', 'projecting', 'round'}

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

color

color

edgecolor or ec

color or None

facecolor or fc

color or None

figure

Figure

fill

bool

gid

str

hatch

{'/', '\', '|', '-', '+', 'x', 'o', 'O', '.', '*'}

height

unknown

in_layout

bool

joinstyle

JoinStyle or {'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 float or callable

rasterized

bool

sketch_params

(scale: float, length: float, randomness: float)

snap

bool or None

transform

Transform

url

str

visible

bool

width

unknown

x

unknown

xy

(float, float)

y

unknown

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.axes.Axes.barh