polars.DataFrame.dtypes#

property DataFrame.dtypes: list[Union[Type[polars.datatypes.DataType], polars.datatypes.DataType]][source]#

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

See also

schema: Returns a {colname:dtype} mapping.

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   ┆ 6.0 ┆ a   │
├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
│ 2   ┆ 7.0 ┆ b   │
├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤
│ 3   ┆ 8.0 ┆ c   │
└─────┴─────┴─────┘