polars.Series.reshape#

Series.reshape(dimensions: tuple[int, ...]) → Series[source]#

Reshape this Series to a flat Series or an Array Series.

Parameters:

dimensions: Tuple of the dimension sizes. If a -1 is used in any of the dimensions, that dimension is inferred.

Returns:

Series: If a single dimension is given, results in a Series of the original data type. If a multiple dimensions are given, results in a Series of data type Array with shape dimensions.

See also

Series.list.explode: Explode a list column.

Examples

>>> s = pl.Series("foo", [1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> square = s.reshape((3, 3))
>>> square
shape: (3,)
Series: 'foo' [array[i64, 3]]
[
        [1, 2, 3]
        [4, 5, 6]
        [7, 8, 9]
]
>>> square.reshape((9,))
shape: (9,)
Series: 'foo' [i64]
[
        1
        2
        3
        4
        5
        6
        7
        8
        9
]