polars.DataFrame.get_columns

DataFrame.get_columns() → list[Series]

Get the DataFrame as a List of Series.

Examples

>>> df = pl.DataFrame({"foo": [1, 2, 3], "bar": [4, 5, 6]})
>>> df.get_columns()
[shape: (3,)
Series: 'foo' [i64]
[
        1
        2
        3
], shape: (3,)
Series: 'bar' [i64]
[
        4
        5
        6
]]

>>> df = pl.DataFrame(
...     {
...         "a": [1, 2, 3, 4],
...         "b": [0.5, 4, 10, 13],
...         "c": [True, True, False, True],
...     }
... )
>>> df.get_columns()
[shape: (4,)
Series: 'a' [i64]
[
    1
    2
    3
    4
], shape: (4,)
Series: 'b' [f64]
[
    0.5
    4.0
    10.0
    13.0
], shape: (4,)
Series: 'c' [bool]
[
    true
    true
    false
    true
]]