def transform(self, X, y=None):
        """Ordinal encode the categorical columns in X

        Parameters
        ----------
        X : pd.DataFrame or dd.DataFrame
        y : ignored

        Returns
        -------
        transformed : pd.DataFrame or dd.DataFrame
            Same type as the input
        """
        if not X.columns.equals(self.columns_):
            raise ValueError(
                "Columns of 'X' do not match the training "
                "columns. Got {!r}, expected {!r}".format(X.columns, self.columns)
            )
        if not isinstance(X, (pd.DataFrame, dd.DataFrame)):
            raise TypeError("Unexpected type {}".format(type(X)))

        X = X.copy()
        for col in self.categorical_columns_:
            X[col] = X[col].cat.codes
        return X
Ordinal encode the categorical columns in X

        Parameters
        ----------
        X : pd.DataFrame or dd.DataFrame
        y : ignored

        Returns
        -------
        transformed : pd.DataFrame or dd.DataFrame
            Same type as the input