pyarrow.scalar¶
-
pyarrow.scalar(value, type=None, *, from_pandas=None, MemoryPool memory_pool=None)¶ Create a pyarrow.Scalar instance from a Python object.
- Parameters
value (Any) – Python object coercible to arrow’s type system.
type (pyarrow.DataType) – Explicit type to attempt to coerce to, otherwise will be inferred from the value.
from_pandas (bool, default None) – Use pandas’s semantics for inferring nulls from values in ndarray-like data. Defaults to False if not passed explicitly by user, or True if a pandas object is passed in.
memory_pool (pyarrow.MemoryPool, optional) – If not passed, will allocate memory from the currently-set default memory pool.
- Returns
scalar (pyarrow.Scalar)
Examples
>>> import pyarrow as pa
>>> pa.scalar(42) <pyarrow.Int64Scalar: 42>
>>> pa.scalar("string") <pyarrow.StringScalar: 'string'>
>>> pa.scalar([1, 2]) <pyarrow.ListScalar: [1, 2]>
>>> pa.scalar([1, 2], type=pa.list_(pa.int16())) <pyarrow.ListScalar: [1, 2]>