tariff = pd.read_csv('/datasets/tariffs.csv',index_col = 'tariff_name')
def users_benefits(row, tariffs = tariffs):
    short_min = row['calls_duration_total']
    short_message = row['messages']
    short_internet = row['mb_used']
    tariff = row['tariff']

    minutes_limit = tariffs.loc[tariff, 'minutes_included']
    messages_limit = tariffs.loc[tariff, 'messages_included']
    internet_limit = tariffs.loc[tariff, 'mb_per_month_included']

    call_overlimit = max(short_min - minutes_limit, 0)
    call_overpay = call_overlimit * tariffs.loc[tariff, 'rub_per_minute']

    messages_overlimit = max(short_message - messages_limit, 0)
    messages_overpay = messages_overlimit * tariffs.loc[tariff, 'rub_per_message']

    internet_overlimit = max(short_internet - internet_limit, 0)
    internet_overpay = internet_overlimit * tariffs.loc[tariff, 'rub_per_gb']

    profit = call_overpay + messages_overpay + internet_overpay + tariffs.loc[tariff, 'rub_monthly_fee']
    return profit


    data_grouped['profit'] = data_grouped['tariff', 'calls_duration_total', 'mb_used', 'messages'].apply(users_benefits, axis = 1)
data_grouped