@classmethod question

gistfile1.py

@classmethod
def from_dict(cls, data, orient='columns', dtype=None):

        from collections import defaultdict

        orient = orient.lower()
        if orient == 'index':
            # TODO: this should be seriously cythonized
            new_data = defaultdict(dict)
            for index, s in data.iteritems():
                for col, v in s.iteritems():
                    new_data[col][index] = v
            data = new_data
        elif orient != 'columns':  # pragma: no cover
            raise ValueError('only recognize index or columns for orient')

        return DataFrame(data, dtype=dtype)