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Commit6a9dfc8

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Docstring wording
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‎lib/matplotlib/axes/_axes.py

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@@ -3075,16 +3075,17 @@ def grouped_bar(self, heights, *, positions=None, group_spacing=1.5, bar_spacing
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.. versionadded:: 3.11
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This function is new in v3.11, and the API is still provisional.
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We may still fine-tune some aspects based on user-feedback.
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Grouped bar charts visualize a collection of multiple categorical datasets.
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A categorical dataset is a mapping *name* -> *value*. The values of the
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dataset are represented by a sequence of bars of the same color.
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In a grouped bar chart, the bars of all datasets are grouped together by
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category. The category names are drawn as tick labels next to the bar group.
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Each dataset has a distinct bar color, and can optionally get a label that
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is used for the legend.
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The API is still provisional. We may still fine-tune some aspects based on
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user-feedback.
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Grouped bar charts visualize a collection of categorical datasets. Each value
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in a dataset belongs to a distinct category and these categories are the same
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across all datasets. The categories typically have string names, but could
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also be dates or index keys. The values in each dataset are represented by a
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sequence of bars of the same color. The bars of all datasets are grouped
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together by their shared categories. The category names are drawn as the tick
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labels for each bar group. Each dataset has a distinct bar color, and can
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optionally get a label that is used for the legend.
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Example:
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