MatthewRGonzalez commented on issue #13747:
URL: https://github.com/apache/arrow/issues/13747#issuecomment-1685144145
Thanks, @amol! I'm still experimenting but the following worked:
```
import pyarrow as pa
import pyarrow.acero as ac
import pyarrow.dataset as ds
def _group_by(table_or_dataset, aggregates, keys):
if isinstance(table_or_dataset, ds.Dataset):
data_source = ac._dataset_to_decl(table_or_dataset, use_threads=True)
else:
data_source = ac.Declaration(
"table_source", ac.TableSourceNodeOptions(table_or_dataset)
)
decl = ac.Declaration.from_sequence([data_source,
ac.Declaration("aggregate", ac.AggregateNodeOptions(aggregates, keys = keys)) ])
return(decl.to_table(use_threads=True))
## dataset from below table
# table = pa.table({'a': [1, 1, 2,2,3], 'b': [4, 5, 6,7,8]})
dataset = ds.dataset("my_data")
_group_by(dataset,[("b", "hash_sum", None, "b_sum")], keys = "e")
```
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