polars.DataFrame.min¶
- DataFrame.min(axis: Literal[0] = 0) polars.internals.frame.DF ¶
- DataFrame.min(axis: Literal[1]) polars.internals.series.Series
- DataFrame.min(axis: int = 0) Union[polars.internals.frame.DF, polars.internals.series.Series]
Aggregate the columns of this DataFrame to their minimum value.
Examples
>>> df = pl.DataFrame( ... { ... "foo": [1, 2, 3], ... "bar": [6, 7, 8], ... "ham": ["a", "b", "c"], ... } ... ) >>> df.min() shape: (1, 3) ┌─────┬─────┬──────┐ │ foo ┆ bar ┆ ham │ │ --- ┆ --- ┆ --- │ │ i64 ┆ i64 ┆ str │ ╞═════╪═════╪══════╡ │ 1 ┆ 6 ┆ null │ └─────┴─────┴──────┘