polars.Series.reshape#

Series.reshape( dimensions: tuple[int, ...], nested_type: type[Array] | type[List] = List, ) → Series[source]#

Reshape this Series to a flat Series or a Series of Lists.

Parameters:

dimensions: Tuple of the dimension sizes. If a -1 is used in any of the dimensions, that dimension is inferred.
nested_type: The nested data type to create. List only supports 2 dimension, whereas Array supports an arbitrary number of dimensions.

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 List with shape (rows, cols) or 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])
>>> s.reshape((3, 3))
shape: (3,)
Series: 'foo' [list[i64]]
[
        [1, 2, 3]
        [4, 5, 6]
        [7, 8, 9]
]