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()
'''
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()