Replaces empty strings in a CSV with zeros

replace_missing.py

import csv
from statistics import mean

# read from a CSV file into a list of dictionaries
def read_dict(filename):
    with open(filename, 'r', newline='', encoding='utf-8') as file_object:
        dict_object = csv.DictReader(file_object)
        array = []
        for row in dict_object:
            array.append(row)
    return array

filename = 'Metro_Nashville_Schools.csv'
schools_data = read_dict(filename)
asian = []
for school in schools_data:
    if school['Asian'] == '':
        asian.append(0)
    else:
        asian.append(int(school['Asian']))
mean(asian)