polars.internals.frame.GroupBy.agg_list

GroupBy.agg_list() → polars.internals.frame.DF

Aggregate the groups into Series.

Examples

>>> df = pl.DataFrame({"a": ["one", "two", "one", "two"], "b": [1, 2, 3, 4]})
>>> df.groupby("a").agg_list()
shape: (2, 2)
┌─────┬────────────┐
│ a   ┆ b          │
│ --- ┆ ---        │
│ str ┆ list [i64] │
╞═════╪════════════╡
│ one ┆ [1, 3]     │
├╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┤
│ two ┆ [2, 4]     │
└─────┴────────────┘

polars.internals.frame.GroupBy.median polars.internals.frame.PivotOps.first