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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 _coerce_to_ndarray(cls, data):
 """ Coerces data to ndarray. Converts other iterables to list first and then to array. Does not touch ndarrays. Raises ------ TypeError When the data passed in is a scalar. """


        if not isinstance(data, (np.ndarray, Index)):
            if data is None or is_scalar(data):
                cls._scalar_data_error(data)

            # other iterable of some kind
            if not isinstance(data, (ABCSeries, list, tuple)):
                data = list(data)
            data = np.asarray(data)
        return data