This processor executes a custom Python function for each row.
It allows you to easily perform complex computations in a preparation script.
To operate this processor, you wite a process(row) Python function. # Operation modes
The processor features 3 modes of operations:
- ‘cell’: in this mode, you select an output column and the process function must return a single value, which is used as the value of the output column.
- ‘row’: in this mode, the process function returns a Python dictionary. All columns and values of the input row are replaced by the keys and values of the dictionary.
- ‘rows’: in this mode, the process function returns an iterable of rows. The input row is deleted and replaced by all rows returned by the function (so you can have 1->N processing). # Help and code When you select an operation mode, a sample code will automatically be written so you only need to write your custom logic. # Restrictions The Python function is executed by Jython and thus only the standard Python library is available. You may not use custom Python packages. If you required custom Python packages, then you should create a data preparation recipe with all previous steps, and then a Python recipe.