| import collections | |
| import pandas as pd | |
| from hamilton.function_modifiers import extract_columns | |
| outputs = collections.defaultdict(list) | |
| @extract_columns("col_1", "col_2", "col_3") | |
| def generate_df(unique_id: str) -> pd.DataFrame: | |
| """Function that should be parametrized to form multiple functions""" | |
| out = pd.DataFrame({"col_1": [1, 2, 3], "col_2": [4, 5, 6], "col_3": [7, 8, 9]}) | |
| outputs[unique_id].append(out) | |
| return out |