For my CS class I the task given was to take a given Person Class with a name and age attributes.
Then, with an existing list of Person Objects, create a function that returns a tuple of (mean, median, mode) on the given age attribute.
Simple enough, but I wondered if my solution is really all that efficient. I basically iterated a new list of ages from an existing list of Person objects, and that almost feels like there's a better opportunity to optimize a solution...
Wondering if I'm missing something obvious.
from statistics import mean, median, mode class Person: def __init__(self, name, age): """ initializes a person objects name and age """ self._name = name self._age = age def get_age(self): """ returns the private data member _age """ return self._age def basic_stats(person_list): """ creates a list of ages from a list of person objects then calculates mean, median, and mode from the statistics module """ age_list = [i.get_age() for i in person_list] return (mean(age_list), median(age_list), mode(age_list))