[Python] Python pandas: construct list dataclass objects from each row of a dataframe

A consistent answer seems to be to avoid iterating over rows while working with Pandas. I'd like to understand how I can do so in the following case.

from typing import List

@dataclass
class Person:
id: int
name: str
age: int

persons_df = pd.DataFrame(data={'id': [1, 2, 3], 'name': ['A', 'B', 'C'], 'age': [32, 44, '86']})

persons_list: List[Person] = [] #populate this list with Person objects, created from the dataframe above

# my approach is to use iterrows()
for row in persons_df.itertuples():
person = Person(row.id, row.name, int(row.age)) # type: ignore
plist.append(person)


I'd like to find an option which can avoid the iterrows, and if possible, be done in a manner that has some type safety built in (avoid the mypy ignore comment).

thanks!

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