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Co-authored-by: hannah <[email protected]>

Author: timhoffm

lib/matplotlib/axes/_axes.py

@@ -3082,7 +3082,7 @@ def grouped_bar(self, heights, *, positions=None, group_spacing=1.5, bar_spacing
         `~.Axes.bar` plots.
 
         Bar plots present categorical data as a sequence of bars, one bar per category.
-        We call one set of such values a *dataset* and it's bars all share the same
+        We call one set of such values a *dataset* and its bars all share the same
         color. Grouped bar plots show multiple such datasets, where the values per
         category are grouped together. The category names are drawn as tick labels
         below the bar groups. Each dataset has a distinct bar color, and can optionally
@@ -3121,9 +3121,6 @@ def grouped_bar(self, heights, *, positions=None, group_spacing=1.5, bar_spacing
             - dict of array-like: A mapping from names to datasets. Each dataset
               (dict value) must have the same number of elements.
 
-              This is similar to passing a list of array-like, with the addition that
-              each dataset gets a name.
-
               Example call:
 
               .. code-block:: python
@@ -3187,9 +3184,7 @@ def grouped_bar(self, heights, *, positions=None, group_spacing=1.5, bar_spacing
 
         tick_labels : list of str, optional
             The category labels, which are placed on ticks at the center *positions*
-            of the bar groups.
-
-            If not set, the axis ticks (positions and labels) are left unchanged.
+            of the bar groups. If not set, the axis ticks (positions and labels) are left unchanged.
 
         labels : list of str, optional
             The labels of the datasets, i.e. the bars within one group.