Error: Expected 2D array, got scalar array instead for OrdinaEncoder in loop

Question

i have such code:

def inv_transform(obj):
    return ordinal_encoder.inverse_transform(obj)

for column in X_test[['col1', 'col2', 'col3']]:
    X_test[column] = X_test[column].apply(inv_transform)

on execution of which i get an error:

ValueError: Expected 2D array, got scalar array instead: array=1.0. Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.

Also I have tried this

for column in X_test[['col1', 'col2', 'col3']]:
    X_test[[column]] = X_test[[column]].apply(inv_transform)

with the same error.

Any idea what should I do ? Somehow got 2D array from 1D array (i.e. every column in list)? Imho the first snippet should work, but it doesn`t. I am trying to apply method of inverse_transform (from OrdinaEncoder) to only few columns of dataset, say 3 out of 10.