I have a dataframe containing a column with categorical variables, which also includes NaNs. I’d like to to use sklearn.compose.make_column_transformer() to prepare the df in a clean way. I tried to impute nan values and OneHotEncode the column with the following code: Running the transformer on my training data raises ValueError: Input contains NaN The desired output would be something