Make a bar plot.
The bars are positioned at x with the given alignment. Their dimensions are given by height and width. The vertical baseline is bottom (default 0).
Many parameters can take either a single value applying to all bars or a sequence of values, one for each bar.
The x coordinates of the bars. See also align for the alignment of the bars to the coordinates.
Bars are often used for categorical data, i.e. string labels below the bars. You can provide a list of strings directly to x. bar(['A', 'B', 'C'], [1, 2, 3])
is often a shorter and more convenient notation compared to bar(range(3), [1, 2, 3], tick_label=['A', 'B', 'C'])
. They are equivalent as long as the names are unique. The explicit tick_label notation draws the names in the sequence given. However, when having duplicate values in categorical x data, these values map to the same numerical x coordinate, and hence the corresponding bars are drawn on top of each other.
The height(s) of the bars.
Note that if bottom has units (e.g. datetime), height should be in units that are a difference from the value of bottom (e.g. timedelta).
The width(s) of the bars.
Note that if x has units (e.g. datetime), then width should be in units that are a difference (e.g. timedelta) around the x values.
The y coordinate(s) of the bottom side(s) of the bars.
Note that if bottom has units, then the y-axis will get a Locator and Formatter appropriate for the units (e.g. dates, or categorical).
Alignment of the bars to the x coordinates:
'center': Center the base on the x positions.
'edge': Align the left edges of the bars with the x positions.
To align the bars on the right edge pass a negative width and align='edge'
.
BarContainer
Container with all the bars and optionally errorbars.
The colors of the bar faces. This is an alias for facecolor. If both are given, facecolor takes precedence.
The colors of the bar faces. If both color and facecolor are given, *facecolor takes precedence.
The colors of the bar edges.
Width of the bar edge(s). If 0, don't draw edges.
The tick labels of the bars. Default: None (Use default numeric labels.)
A single label is attached to the resulting BarContainer
as a label for the whole dataset. If a list is provided, it must be the same length as x and labels the individual bars. Repeated labels are not de-duplicated and will cause repeated label entries, so this is best used when bars also differ in style (e.g., by passing a list to color.)
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.
The line color of the errorbars.
rcParams["errorbar.capsize"]
(default: 0.0
)
The length of the error bar caps in points.
Dictionary of keyword arguments to be passed to the errorbar
method. Values of ecolor or capsize defined here take precedence over the independent keyword arguments.
If True, set the y-axis to be log scale.
If given, all parameters also accept a string s
, which is interpreted as data[s]
if s
is a key in data
.
Rectangle
properties
See also
barh
Plot a horizontal bar plot.
Notes
Stacked bars can be achieved by passing individual bottom values per bar. See Stacked bar chart.
matplotlib.pyplot.bar
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