You can use teradataml UDFs to execute a Python function over each row in a teradataml DataFrame and return the result as a DataFrameColumn.
You can use the following methods to apply that Python function on each row or group of rows in the teradataml DataFrame and return a teradataml DataFrame.
- DataFrame.apply() (supported in VantageCloud Lake)
- DataFrame.map_row() and DataFrame.map_partition() (supported in VantageCloud Enterprise)