I am trying to build a function that will take a python data frame and check any column that is an object, then label encode and transform all the object that types and return a transformed data frame

I first load the data

data = pd.read_csv("data.csv")

then run

def preprocessing(data):
    from sklearn.preprocessing import LabelEncoder
    if data.dtypes=='object':
        data = LabelEncoder().fit_transform(data)
    return data

I call the variable below

final_data = preprocessing(data)

But i get the below error

   ValueError                                Traceback (most recent call last)
/var/folders/ym/pwrd76_54wd1tj2h9kbvn1hh0000gn/T/ipykernel_76454/4286937000.py in ?()
----> 1 final_data = preprocessing(data)

/var/folders/ym/pwrd76_54wd1tj2h9kbvn1hh0000gn/T/ipykernel_76454/738215589.py in ?(data)
      1 def preprocessing(data):
      2     from sklearn.preprocessing import LabelEncoder
----> 3     if data.dtypes=='object':
      4         data = LabelEncoder().fit_transform(data)
      5     return data

~/anaconda3/envs/angaza/lib/python3.11/site-packages/pandas/core/generic.py in ?(self)
   1525     @final
   1526     def __nonzero__(self) -> NoReturn:
-> 1527         raise ValueError(
   1528             f"The truth value of a {type(self).__name__} is ambiguous. "
   1529             "Use a.empty, a.bool(), a.item(), a.any() or a.all()."
   1530         )

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().