Estimated Calorie Needs per Day by Age, Gender, and Physical Activity Level.

README.md

Estimated Calorie Needs per Day by Age, Gender, and Physical Activity Level

Based on USDA guidelines: http://www.cnpp.usda.gov/sites/default/files/usda_food_patterns/EstimatedCalorieNeedsPerDayTable.pdf

Estimated amounts of caloriesa needed to maintain calorie balance for various gender and age groups at three different levels of physical activity. The estimates are rounded to the nearest 200 calories for assignment to a USDA Food Pattern. An individual’s calorie needs may be higher or lower than these average estimates.

calorie_requirements_by_age_sex_activity_level.csv

find_calorie_req.py

import csv
r = list(csv.DictReader(open('/tmp/calories.csv')))

def get_by_age(age):
    for row in r:
        if age in range(row['age_low'], row['age_high']):
            return row

make_csv.py

# copied from http://www.cnpp.usda.gov/sites/default/files/usda_food_patterns/EstimatedCalorieNeedsPerDayTable.pdf
s = """2 1,000 1,000 1,000 1,000 1,000 1,000
3 1,200 1,400 1,400 1,000 1,200 1,400
4 1,200 1,400 1,600 1,200 1,400 1,400
5 1,200 1,400 1,600 1,200 1,400 1,600
6 1,400 1,600 1,800 1,200 1,400 1,600
7 1,400 1,600 1,800 1,200 1,600 1,800
8 1,400 1,600 2,000 1,400 1,600 1,800
9 1,600 1,800 2,000 1,400 1,600 1,800
10 1,600 1,800 2,200 1,400 1,800 2,000
11 1,800 2,000 2,200 1,600 1,800 2,000
12 1,800 2,200 2,400 1,600 2,000 2,200
13 2,000 2,200 2,600 1,600 2,000 2,200
14 2,000 2,400 2,800 1,800 2,000 2,400
15 2,200 2,600 3,000 1,800 2,000 2,400
16 2,400 2,800 3,200 1,800 2,000 2,400
17 2,400 2,800 3,200 1,800 2,000 2,400
18 2,400 2,800 3,200 1,800 2,000 2,400
19–20 2,600 2,800 3,000 2,000 2,200 2,400
21–25 2,400 2,800 3,000 2,000 2,200 2,400
26–30 2,400 2,600 3,000 1,800 2,000 2,400
31–35 2,400 2,600 3,000 1,800 2,000 2,200
36–40 2,400 2,600 2,800 1,800 2,000 2,200
41–45 2,200 2,600 2,800 1,800 2,000 2,200
46–50 2,200 2,400 2,800 1,800 2,000 2,200
51–55 2,200 2,400 2,800 1,600 1,800 2,200
56–60 2,200 2,400 2,600 1,600 1,800 2,200
61–65 2,000 2,400 2,600 1,600 1,800 2,000
66–70 2,000 2,200 2,600 1,600 1,800 2,000
71–75 2,000 2,200 2,600 1,600 1,800 2,000
76+ 2,000 2,200 2,400 1,600 1,800 2,000"""

s2 = s.split('\n')

data = []

for line in s2:
    age, counts = line.split()[0], line.split()[1:]
    if '–' in age:
        low, high = age.split('–')
    elif age == '2':
        low = 0
        high = age
    elif '+' in age:
        low = age.replace('+', '')
        high = 1000
    else:
        low, high = age, age
    counts = [int(c.replace(',', '')) for c in counts]
    data.append([int(low), int(high)] + counts)

import csv
csv.writer(open('/tmp/calories.csv', 'w')).writerows(data)