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_pandasbool, 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.
- value
- Returns:
- scalar
pyarrow.Scalar
- 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]>