Hamilton Open Source

you just need to provide a mapping from `clinical_trials_path` to `csv_path`

e.g.
```@does(_load_csv, csv_path='clinical_trials_path', mapping_dict='clinical_trials_mapping')
def df_clinical_trials(clinical_trials_path: str, clinical_trials_mapping: dict) -&gt; pyspark.pandas.frame.DataFrame:
   pass```

<https://github.com/stitchfix/hamilton/blob/main/decorators.md#does> shows an example of what I mean

<@U04JZKAM308> though — just to ask the question, it might be simpler to just do:
```def df_clinical_trials(clinical_trials_path: str, clinical_trials_mapping: dict) -&gt; pyspark.pandas.frame.DataFrame:
   return _load_csv(clinical_trials_path, clinical_trials_mapping)```
?

yeah but i’m using the same function with multiple inputs that’s why

But this will make the function _load_csv (present in the module file) to run aswell

it doesn’t have to be in the same module.

but if it is, then a `_` prefix is required

e.g. this should work fine if `load_csv` was in utils.py
```from utils import load_csv

def df_clinical_trials(clinical_trials_path: str, clinical_trials_mapping: dict) -&gt; pyspark.pandas.frame.DataFrame:
   return load_csv(clinical_trials_path, clinical_trials_mapping)```