polars.List#
- class polars.List(*args: Any, **kwargs: Any)[source]#
- Variable length list type. - __init__(inner: PolarsDataType | PythonDataType)[source]#
- Variable length list type. - Parameters:
- inner
- The - DataTypeof the values within each list.
 
 - Examples - >>> df = pl.DataFrame( ... { ... "integer_lists": [[1, 2], [3, 4]], ... "float_lists": [[1.0, 2.0], [3.0, 4.0]], ... } ... ) >>> df shape: (2, 2) ┌───────────────┬─────────────┐ │ integer_lists ┆ float_lists │ │ --- ┆ --- │ │ list[i64] ┆ list[f64] │ ╞═══════════════╪═════════════╡ │ [1, 2] ┆ [1.0, 2.0] │ │ [3, 4] ┆ [3.0, 4.0] │ └───────────────┴─────────────┘ 
 - Methods - __init__(inner)- Variable length list type. - base_type()- Return this DataType's fundamental/root type class. - is_(other)- Check if this DataType is the same as another DataType. - is_float()- Check whether the data type is a temporal type. - is_integer()- Check whether the data type is an integer type. - is_not(other)- Check if this DataType is NOT the same as another DataType. - is_numeric()- Check whether the data type is a numeric type. - is_signed_integer()- Check whether the data type is a signed integer type. - is_temporal()- Check whether the data type is a temporal type. - is_unsigned_integer()- Check whether the data type is an unsigned integer type. - Attributes - inner- is_nested