polars.Series.list.to_struct#
- Series.list.to_struct(
- n_field_strategy: ToStructStrategy = 'first_non_null',
- fields: Callable[[int], str] | Sequence[str] | None = None,
Convert the series of type
List
to a series of typeStruct
.- Parameters:
- n_field_strategy{‘first_non_null’, ‘max_width’}
Strategy to determine the number of fields of the struct.
“first_non_null”: set number of fields equal to the length of the first non zero-length sublist.
“max_width”: set number of fields as max length of all sublists.
- fields
If the name and number of the desired fields is known in advance a list of field names can be given, which will be assigned by index. Otherwise, to dynamically assign field names, a custom function can be used; if neither are set, fields will be
field_0, field_1 .. field_n
.
Examples
Convert list to struct with default field name assignment:
>>> s1 = pl.Series("n", [[0, 1, 2], [0, 1]]) >>> s2 = s1.list.to_struct() >>> s2 shape: (2,) Series: 'n' [struct[3]] [ {0,1,2} {0,1,null} ] >>> s2.struct.fields ['field_0', 'field_1', 'field_2']
Convert list to struct with field name assignment by function/index:
>>> s3 = s1.list.to_struct(fields=lambda idx: f"n{idx:02}") >>> s3.struct.fields ['n00', 'n01', 'n02']
Convert list to struct with field name assignment by index from a list of names:
>>> s1.list.to_struct(fields=["one", "two", "three"]).struct.unnest() shape: (2, 3) ┌─────┬─────┬───────┐ │ one ┆ two ┆ three │ │ --- ┆ --- ┆ --- │ │ i64 ┆ i64 ┆ i64 │ ╞═════╪═════╪═══════╡ │ 0 ┆ 1 ┆ 2 │ │ 0 ┆ 1 ┆ null │ └─────┴─────┴───────┘