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DOC: Fix typos in groupby user guide #54041

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Jul 7, 2023
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DOC: Fix typos in groupby user guide #54041

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6 changes: 3 additions & 3 deletions doc/source/user_guide/groupby.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -878,7 +878,7 @@ will be broadcast across the group.
grouped.transform("sum")

In addition to string aliases, the :meth:`~.DataFrameGroupBy.transform` method can
also except User-Defined functions (UDFs). The UDF must:
also accept User-Defined Functions (UDFs). The UDF must:

* Return a result that is either the same size as the group chunk or
broadcastable to the size of the group chunk (e.g., a scalar,
Expand Down Expand Up @@ -1363,7 +1363,7 @@ implementation headache).
Grouping with ordered factors
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Categorical variables represented as instance of pandas's ``Categorical`` class
Categorical variables represented as instances of pandas's ``Categorical`` class
can be used as group keys. If so, the order of the levels will be preserved:

.. ipython:: python
Expand Down Expand Up @@ -1496,7 +1496,7 @@ You can also select multiple rows from each group by specifying multiple nth val
# get the first, 4th, and last date index for each month
df.groupby([df.index.year, df.index.month]).nth([0, 3, -1])

You may also use a slices or lists of slices.
You may also use slices or lists of slices.

.. ipython:: python

Expand Down