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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def predict(self, fitted):
 """Assign the most likely modality given the fitted data Parameters fitted : pandas.DataFrame or pandas.Series Either a (n_modalities, features) DatFrame or (n_modalities,) Series, either of which will return the best modality for each feature. """

        if fitted.shape[0] != len(self.modalities):
            raise ValueError("This data doesn't look like it had the distance "
                             "between it and the five modalities calculated")
        return fitted.idxmin()