amol- commented on a change in pull request #11830:
URL: https://github.com/apache/arrow/pull/11830#discussion_r761194287
##########
File path: docs/source/python/compute.rst
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@@ -62,8 +77,89 @@ Here is an example of sorting a table:
0
]
-
+For a complete list of the compute functions that PyArrow provides
+you can refer to :ref:`api.compute` reference.
.. seealso::
:ref:`Available compute functions (C++ documentation)
<compute-function-list>`.
+
+Grouped Aggregations
+====================
+
+PyArrow supports grouped aggregations over :class:`pyarrow.Table` through the
+:meth:`pyarrow.Table.group_by` method.
+The method will return a grouping declaration
+to which the hash aggregation functions can be applied::
+
+ >>> import pyarrow as pa
+ >>> t = pa.table([
+ ... pa.array(["a", "a", "b", "b", "c"]),
+ ... pa.array([1, 2, 3, 4, 5]),
+ ... ], names=["keys", "values"])
+ >>> t.group_by("keys").aggregate([("values", "sum")])
+ pyarrow.Table
+ values_sum: int64
+ keys: string
+ ----
+ values_sum: [[3,7,5]]
+ keys: [["a","b","c"]]
+
+The ``"sum"`` aggregation passed to the ``aggregate`` method in the previous
+example is the :func:`hash_sum` compute function.
Review comment:
It currently is, but there is #11803 which removes it, so remove the
`:func:` from here
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