def map_binary(
a: Union[str, "pl.Expr"],
b: Union[str, "pl.Expr"],
f: Callable[["pl.Series", "pl.Series"], "pl.Series"],
return_dtype: Optional[Type[DataType]] = None,
) -> "pl.Expr":
"""
Map a custom function over two columns and produce a single Series result.
Parameters
----------
a
Input Series a.
b
Input Series b.
f
Function to apply.
return_dtype
Output type of the udf.
"""
if isinstance(a, str):
a = col(a)
if isinstance(b, str):
b = col(b)
return pl.lazy.expr.wrap_expr(
pybinary_function(a._pyexpr, b._pyexpr, f, return_dtype))
def map_binary(
a: str | pli.Expr,
b: str | pli.Expr,
f: Callable[[pli.Series, pli.Series], pli.Series],
return_dtype: type[DataType] | None = None,
) -> pli.Expr:
"""
Map a custom function over two columns and produce a single Series result.
.. deprecated:: 0.10.4
Use :func:`map` or :func:`apply` instead.
Parameters
----------
a
Input Series a.
b
Input Series b.
f
Function to apply.
return_dtype
Output type of the udf.
"""
if isinstance(a, str):
a = col(a)
if isinstance(b, str):
b = col(b)
return pli.wrap_expr(
pybinary_function(a._pyexpr, b._pyexpr, f, return_dtype))