snowflake.snowpark.functions.pandas_udf¶

snowflake.snowpark.functions.pandas_udf(func: Callable | None = None, *, return_type: DataType | None = None, input_types: List[DataType] | None = None, name: str | Iterable[str] | None = None, is_permanent: bool = False, stage_location: str | None = None, imports: List[str | Tuple[str, str]] | None = None, packages: List[str | module] | None = None, replace: bool = False, if_not_exists: bool = False, session: Session | None = None, parallel: int = 4, max_batch_size: int | None = None, statement_params: Dict[str, str] | None = None, source_code_display: bool = True) → UserDefinedFunction | partial[source]¶

Registers a Python function as a vectorized UDF and returns the UDF. The arguments, return value and usage of this function are exactly the same as udf(), but this function can only be used for registering vectorized UDFs. See examples in UDFRegistration.

See also

• udf()

• UDFRegistration.register()