westonpace commented on code in PR #13493:
URL: https://github.com/apache/arrow/pull/13493#discussion_r920295803
##########
python/pyarrow/table.pxi:
##########
@@ -4631,6 +4631,89 @@ cdef class Table(_PandasConvertible):
return table
+ def group_by(self, keys):
+ """Declare a grouping over the columns of the table.
+
+ Resulting grouping can then be used to perform aggregations
+ with a subsequent ``aggregate()`` method.
+
+ Parameters
+ ----------
+ keys : str or list[str]
+ Name of the columns that should be used as the grouping key.
+
+ Returns
+ -------
+ TableGroupBy
+
+ See Also
+ --------
+ TableGroupBy.aggregate
+
+ Examples
+ --------
+ >>> import pandas as pd
+ >>> import pyarrow as pa
+ >>> df = pd.DataFrame({'year': [2020, 2022, 2021, 2022, 2019, 2021],
+ ... 'n_legs': [2, 2, 4, 4, 5, 100],
+ ... 'animal': ["Flamingo", "Parrot", "Dog", "Horse",
+ ... "Brittle stars", "Centipede"]})
+ >>> table = pa.Table.from_pandas(df)
+ >>> table.group_by('year').aggregate([('n_legs', 'sum')])
+ pyarrow.Table
+ n_legs_sum: int64
+ year: int64
+ ----
+ n_legs_sum: [[2,6,104,5]]
+ year: [[2020,2022,2021,2019]]
+ """
+ return TableGroupBy(self, keys)
+
+ def sort_by(self, sorting):
+ """
+ Sort the table by one or multiple columns.
+
+ Parameters
+ ----------
+ sorting : str or list[tuple(name, order)]
+ Name of the column to use to sort (ascending), or
+ a list of multiple sorting conditions where
+ each entry is a tuple with column name
+ and sorting order ("ascending" or "descending")
+
+ Returns
+ -------
+ Table
+ A new table sorted according to the sort keys.
+
+ Examples
+ --------
+ >>> import pandas as pd
+ >>> import pyarrow as pa
+ >>> df = pd.DataFrame({'year': [2020, 2022, 2021, 2022, 2019, 2021],
+ ... 'n_legs': [2, 2, 4, 4, 5, 100],
+ ... 'animal': ["Flamingo", "Parrot", "Dog", "Horse",
+ ... "Brittle stars", "Centipede"]})
+ >>> table = pa.Table.from_pandas(df)
+ >>> table.sort_by('animal')
+ pyarrow.Table
+ year: int64
+ n_legs: int64
+ animal: string
+ ----
+ year: [[2019,2021,2021,2020,2022,2022]]
+ n_legs: [[5,100,4,2,4,2]]
+ animal: [["Brittle
stars","Centipede","Dog","Flamingo","Horse","Parrot"]]
+ """
+ if isinstance(sorting, str):
+ sorting = [(sorting, "ascending")]
+
+ indices = _pc().sort_indices(
+ self,
+ sort_keys=sorting
+ )
+ return self.take(indices)
+
Review Comment:
Did you mean to move these functions? I'm not sure it is a problem but I
just wanted to make sure I understood.
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