matplotlib.pyplot.
bar
(x, height, width=0.8, bottom=None, *, align='center', data=None, **kwargs)[source]¶Make a bar plot.
The bars are positioned at x with the given alignment. Their dimensions are given by width and height. The vertical baseline is bottom (default 0).
Each of x, height, width, and bottom may either be a scalar applying to all bars, or it may be a sequence of length N providing a separate value for each bar.
Parameters: |
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Returns: |
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Other Parameters: |
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See also
barh
Notes
The optional arguments color, edgecolor, linewidth,
xerr, and yerr can be either scalars or sequences of
length equal to the number of bars. This enables you to use
bar as the basis for stacked bar charts, or candlestick plots.
Detail: xerr and yerr are passed directly to
errorbar()
, so they can also have shape 2xN for
independent specification of lower and upper errors.
Other optional kwargs:
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
unknown capstyle
{'butt', 'round', 'projecting'} clip_box
Bbox
clip_on
bool clip_path
[( Path
,Transform
) |Patch
| None]color
color contains
callable edgecolor
color or None or 'auto' facecolor
color or None figure
Figure
fill
bool gid
str hatch
{'/', '\', '|', '-', '+', 'x', 'o', 'O', '.', '*'} in_layout
bool joinstyle
{'miter', 'round', 'bevel'} label
object linestyle
{'-', '--', '-.', ':', '', (offset, on-off-seq), ...} linewidth
float or None for default path_effects
AbstractPathEffect
picker
None or bool or float 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
Note
In addition to the above described arguments, this function can take a data keyword argument. If such a data argument is given, the following arguments are replaced by data[<arg>]:
Objects passed as data must support item access (data[<arg>]
) and
membership test (<arg> in data
).