polars.datatypes.List#
- class polars.datatypes.List(inner: PolarsDataType | PythonDataType)[source]#
Variable length list type.
- Parameters:
- inner
The
DataType
of 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)base_type
()Return this DataType's fundamental/root type class.
from_python
(py_type)Return the Polars data type corresponding to a given Python type.
is_
(other)Check if this DataType is the same as another DataType.
is_decimal
()Check whether the data type is a decimal type.
is_float
()Check whether the data type is a floating point type.
is_integer
()Check whether the data type is an integer type.
is_nested
()Check whether the data type is a nested type.
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.
to_python
()Return the Python type corresponding to this Polars data type.
Attributes
inner