polars.datatypes.Array#

class polars.datatypes.Array( inner: PolarsDataType | PythonDataType, shape: int | tuple[int, ...] | None = None, *, width: int | None = None, )[source]#

Fixed length list type.

Parameters:

inner: The DataType of the values within each array.
width: The length of the arrays.

Examples

>>> s = pl.Series("a", [[1, 2], [4, 3]], dtype=pl.Array(pl.Int64, 2))
>>> s
shape: (2,)
Series: 'a' [array[i64, 2]]
[
        [1, 2]
        [4, 3]
]

__init__( inner: PolarsDataType | PythonDataType, shape: int | tuple[int, ...] | None = None, *, width: int | None = None, )[source]#

Methods

`__init__`(inner[, shape, width])
`base_type`()	Return this DataType's fundamental/root type class.
`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_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`
`width`	The size of the Array.
`size`
`shape`