mapper.py 文件源码

def detect_input(cls, values, sample_size=200):
        """
        Return first "from_" method that in more than 50% matches values,
        or None.
        """
        assert isinstance(values, pd.Series)
        values = values.drop_duplicates().dropna()
        if len(values) > sample_size:
            values = values.sample(sample_size)
        strlen = values.str.len().dropna().unique()
        for method, *cond in ((cls.from_cc2, len(strlen) == 1 and strlen[0] == 2),
                              (cls.from_cc3, len(strlen) == 1 and strlen[0] == 3),
                              (cls.from_cc_name,),
                              (cls.from_us_state,),
                              (cls.from_city_eu,),
                              (cls.from_city_us,),
                              (cls.from_city_world,),
                              (cls.from_region,),
                              (cls.from_fips,),
                              (cls.from_hasc, np.in1d(strlen, [2, 5, 8]).all())):
            if cond and not cond[0]:
                continue
            if sum(map(bool, method(values))) >= len(values) / 2:
                return method
        return None