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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 get_values(self):
 """ Return the values. For internal compatibility with pandas formatting. Returns ------- numpy.array A numpy array of the same dtype as categorical.categories.dtype or Index if datetime / periods. """

        # if we are a datetime and period index, return Index to keep metadata
        if is_datetimelike(self.categories):
            return self.categories.take(self._codes, fill_value=np.nan)
        elif is_integer_dtype(self.categories) and -1 in self._codes:
            return self.categories.astype("object").take(self._codes,
                                                         fill_value=np.nan)
        return np.array(self)