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
 
   Bar Label Demo   

   Horizontal bar chart   

   Producing multiple histograms side by side   

   The Lifecycle of a Plot