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.

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))

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))