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DOC: Document the behavior of bar() for categorical x data #29511

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rcomer merged 2 commits into from
Jan 24, 2025
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DOC: Document the behavior of bar() for categorical x data #29511

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DOC: Document the behavior of bar() for categorical x data
timhoffm Jan 24, 2025
a61e592
Update lib/matplotlib/axes/_axes.py
timhoffm Jan 24, 2025
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Update lib/matplotlib/axes/_axes.py 
Co-authored-by: Ruth Comer <10599679+rcomer@users.noreply.github.com>
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@timhoffm @rcomer
timhoffm and rcomer authored Jan 24, 2025
commit a61e5922f25f0ad94b369ed15b8e17d81036b05d
4 changes: 2 additions & 2 deletions lib/matplotlib/axes/_axes.py
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Expand Up @@ -2714,9 +2714,9 @@ def barh(self, y, width, height=0.8, left=None, *, align="center",

Bars are often used for categorical data, i.e. string labels below
the bars. You can provide a list of strings directly to *y*.
``bar(['A', 'B', 'C'], [1, 2, 3])`` is often a shorter and more
``barh(['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
``barh(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 *y* data, these values map to the same
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