polars.dataframe.group_by.GroupBy.mean

GroupBy.mean() → DataFrame

Reduce the groups to the mean values.

Examples

>>> df = pl.DataFrame(
...     {
...         "a": [1, 2, 2, 3, 4, 5],
...         "b": [0.5, 0.5, 4, 10, 13, 14],
...         "c": [True, True, True, False, False, True],
...         "d": ["Apple", "Orange", "Apple", "Apple", "Banana", "Banana"],
...     }
... )
>>> df.group_by("d", maintain_order=True).mean()
shape: (3, 4)
┌────────┬─────┬──────────┬──────────┐
│ d      ┆ a   ┆ b        ┆ c        │
│ ---    ┆ --- ┆ ---      ┆ ---      │
│ str    ┆ f64 ┆ f64      ┆ f64      │
╞════════╪═════╪══════════╪══════════╡
│ Apple  ┆ 2.0 ┆ 4.833333 ┆ 0.666667 │
│ Orange ┆ 2.0 ┆ 0.5      ┆ 1.0      │
│ Banana ┆ 4.5 ┆ 13.5     ┆ 0.5      │
└────────┴─────┴──────────┴──────────┘