The raw_data() function is similar to the example shown in Chapter 3, Functions, Iterators, and Generators. We included some important changes. Here's what we're using for this application:
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: floatpairs: 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', ...
