polars.DataFrame.dtypes

property DataFrame.dtypes: List[Type[polars.datatypes.DataType]]

Get dtypes of columns in DataFrame. Dtypes can also be found in column headers when printing the DataFrame.

See also

schema

Return a dict of [column name, dtype]

Examples

>>> df = pl.DataFrame(
...     {
...         "foo": [1, 2, 3],
...         "bar": [6.0, 7.0, 8.0],
...         "ham": ["a", "b", "c"],
...     }
... )
>>> df.dtypes
[<class 'polars.datatypes.Int64'>, <class 'polars.datatypes.Float64'>, <class 'polars.datatypes.Utf8'>]
>>> df
shape: (3, 3)
┌─────┬─────┬─────┐
│ foo ┆ bar ┆ ham │
│ --- ┆ --- ┆ --- │
│ i64 ┆ f64 ┆ str │
╞═════╪═════╪═════╡
│ 1   ┆ 6   ┆ a   │
├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
│ 2   ┆ 7   ┆ b   │
├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
│ 3   ┆ 8   ┆ c   │
└─────┴─────┴─────┘

polars.DataFrame.columns polars.DataFrame.schema