Python 获取原始数据

from Chapter_3.ch03_ex5 import (
    series, head_map_filter, row_iter)
from typing import (
    NamedTuple, Callable, List, Tuple, Iterable, Dict, Any)

RawPairIter = Iterable[Tuple[float, float]]

class Pair(NamedTuple):
    x: float
    y: float

pairs: Callable[[RawPairIter], List[Pair]] \
    = lambda source: list(Pair(*row) for row in source)

def raw_data() -> Dict[str, List[Pair]]:
    with open("Anscombe.txt") as source:
        data = tuple(head_map_filter(row_iter(source)))
        mapping = {
            id_str: pairs(series(id_num, data))
            for id_num, id_str in enumerate(
                ['I', 'II', 'III', 'IV'])
        }
    return mapping

>>> raw_data()['I']
[Pair(x=10.0, y=8.04), Pair(x=8.0, y=6.95), ...