polars.DataFrame.max#

DataFrame.max(axis: Literal[0] = None) → Self[source]#

DataFrame.max(axis: Literal[1]) → Series

DataFrame.max(axis: int = 0) → Self | Series

Aggregate the columns of this DataFrame to their maximum value.

Parameters:

axis: Either 0 (vertical) or 1 (horizontal).

Deprecated since version 0.19.14: This argument will be removed in a future version. This method will only support vertical aggregation, as if axis were set to 0. To perform horizontal aggregation, use max_horizontal().

Examples

>>> df = pl.DataFrame(
...     {
...         "foo": [1, 2, 3],
...         "bar": [6, 7, 8],
...         "ham": ["a", "b", "c"],
...     }
... )
>>> df.max()
shape: (1, 3)
┌─────┬─────┬─────┐
│ foo ┆ bar ┆ ham │
│ --- ┆ --- ┆ --- │
│ i64 ┆ i64 ┆ str │
╞═════╪═════╪═════╡
│ 3   ┆ 8   ┆ c   │
└─────┴─────┴─────┘