How to define a dataclass so each of its attributes is the list of its subclass attributes?

I have this code:

from dataclasses import dataclass
from typing import List

@dataclass
class Position:
    name: str
    lon: float
    lat: float

@dataclass
class Section:
    positions: List[Position]

pos1 = Position('a', 52, 10)
pos2 = Position('b', 46, -10)
pos3 = Position('c', 45, -10)

sec = Section([pos1, pos2 , pos3])

print(sec.positions)

How can I create additional attributes in the dataclass Section so they would be a list of the attribute of its subclass Position?

In my example, I would like that the section object also returns:

sec.name = ['a', 'b', 'c']   #[pos1.name,pos2.name,pos3.name]
sec.lon = [52, 46, 45]       #[pos1.lon,pos2.lon,pos3.lon]
sec.lat = [10, -10, -10]     #[pos1.lat,pos2.lat,pos3.lat]

I tried to define the dataclass as:

@dataclass
class Section:
    positions: List[Position]
    names :  List[Position.name]

But it is not working because name is not an attribute of position. I can define the object attributed later in the code (e.g. by doing secs.name = [x.name for x in section.positions]). But it would be nicer if it can be done at the dataclass definition level.

After posting this question I found a beginning of answer (https://stackoverflow.com/a/65222586/13890678).

But I was wondering if there was not a more generic/"automatic" way of defining the Section methods : .names(), .lons(), .lats(), ... ? So the developer doesn't have to define each method individually but instead, these methods are created based on the Positions object attributes?

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