guess_the_age.py

import vk
from datetime import datetime, date, timedelta
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np

U_ID = 11111111 # used id
bulk_limit = 50


def date_to_age(age):
    return (date.today() - datetime.strptime(age, "%d.%m.%Y").date()) / timedelta(days=365)


def get_age(u_id):
    session = vk.Session()
    api = vk.API(session)
    friends = api.friends.get(user_id=u_id)

    bdates = []
    for i in range(0, len(friends), bulk_limit):
        f_sliced = friends[i:i + bulk_limit]
        users = api.users.get(user_ids=f_sliced, fields='bdate')
        for u in users:
            if 'bdate' in u and u['bdate'].count('.') == 2:
                bdates.append(date_to_age(u['bdate']))
    return bdates


ages = get_age(U_ID)
print(ages)
print('Mean: %s, std: %s' % (np.mean(ages), np.std(ages)))
print('Median: %s, var: %s' % (np.median(ages), np.var(ages)))
sns.distplot(ages)
# fig, ax = plt.subplots()
# counts, bins, patches = ax.hist(ages, bins=40)
# ax.set_xticks(bins)
plt.show()