pyarrow.scalar#

pyarrow.scalar(value, type=None, *, from_pandas=None, MemoryPool memory_pool=None)#

Create a pyarrow.Scalar instance from a Python object.

Parameters:

valueAny

Python object coercible to arrows type system.

typepyarrow.DataType

Explicit type to attempt to coerce to, otherwise will be inferred from the value.

from_pandasbool, default None

Use pandass 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_poolpyarrow.MemoryPool, optional

If not passed, will allocate memory from the currently-set default memory pool.

Returns:

scalarpyarrow.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]>