matplotlib 3.5.1

ParametersReturnsBackRef
bar_label(container, labels=None, *, fmt='%g', label_type='edge', padding=0, **kwargs)

Adds labels to bars in the given .BarContainer . You may need to adjust the axis limits to fit the labels.

Parameters

container : `.BarContainer`

Container with all the bars and optionally errorbars, likely returned from :None:None:`.bar` or :None:None:`.barh`.

labels : array-like, optional

A list of label texts, that should be displayed. If not given, the label texts will be the data values formatted with fmt.

fmt : str, default: '%g'

A format string for the label.

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

The label type. Possible values:

  • 'edge': label placed at the end-point of the bar segment, and the value displayed will be the position of that end-point.

  • 'center': label placed in the center of the bar segment, and the value displayed will be the length of that segment. (useful for stacked bars, i.e., /gallery/lines_bars_and_markers/bar_label_demo )

padding : float, default: 0

Distance of label from the end of the bar, in points.

**kwargs :

Any remaining keyword arguments are passed through to .Axes.annotate .

Returns

list of `.Text`

A list of :None:None:`.Text` instances for the labels.

Label a bar plot.

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

matplotlib.pyplot.plotting

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Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


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