def records_num_and_duration_one_user(user_id):

    data = DataExtractor.load_json_data(user_id)

    records_number = len(data)
    first_record_date = datetime.date(2020, 1, 1)
    last_record_date = datetime.date(1970, 1, 1)
    for record_id in data:
        current_date = DataExtractor.date_of_record(data[record_id])

        if current_date > last_record_date:
            last_record_date = current_date
        if current_date < first_record_date:
            first_record_date = current_date

    records_duration = last_record_date - first_record_date

    first_record_date_str = first_record_date.strftime("%Y-%m-%d")
    last_record_date_str = last_record_date.strftime("%Y-%m-%d")

    average_records_per_day = records_number * 1.0 / int(records_duration.days)

    str_res = (
        "number of records: "
        + str(records_number)
        + " \nfirst record date: "
        + first_record_date_str
        + "\nlast_record_date: "
        + last_record_date_str
        + "\nobservation period: "
        + str(records_duration.days)
        + " days\naverage records per day:"
        + str(average_records_per_day)
        + "\n"
    )

    return str_res
'''
for each user, plots the number of records of some features he has by day.

As output, plots one plot by user
'''

#!/usr/bin/env python
import sys
import pprint as pp
import os.path

sys.path.insert(0, "/home/dehajjik/workspace/src/utils")
from features_by_day_one_user import features_by_day_one_user as fbdou
from data_utils import DataExtractor
from plot_lib_utils import PlotlibDrawer


for user_id in DataExtractor.users_ids_list():
	dict = fbdou(user_id)
	print("user "+str(user_id)+" extracted")
	
PlotlibDrawer.show()
Пример #3
0
'''
for each user, plots the number of records of some features he has by day.

As output, plots one plot by user
'''

#!/usr/bin/env python
import sys
import pprint as pp
import os.path

sys.path.insert(0, "/home/dehajjik/workspace/src/utils")
from features_by_day_one_user import features_by_day_one_user as fbdou
from data_utils import DataExtractor
from plot_lib_utils import PlotlibDrawer

for user_id in DataExtractor.users_ids_list():
    dict = fbdou(user_id)
    print("user " + str(user_id) + " extracted")

PlotlibDrawer.show()