如何解决：将BigQuery查询结果与列表进行比较

Question

I am a newbie in Python, I appreciate all help. I want a list of activities of a group, who purchased for 4$ this way: purchase_date(1,1,0,1,1,0,1) where purchase_date is the date of the purchase, and the arrays indeces+1 gives the days after the purchases. 1 means active day, 0 means not active day. Eg 20190203(1,1,1,0,0,0,1) means the purchase was on 2019-02-03 , and the user was active after that on 4th, 5th, 6th and 10th of February.

I tried the code below. Steps:

1. Created a datatable with the purchases: four_dollar_buyers(user_pseudo_id,purchase_date) . Queried it and loaded the result into the four_dollar_purchases list.
2. Iterated over on four_dollar purchases
3. Made 2 helper arrays: seven_days_date contains the dates after the purchases seven_days_number should contain ones and zeros (active or not in given day)
4. Iterated over the seven_days_date , made a query from datatables of the given date, what gave the id-s of the active users on that day. Load the result of the query into a list named ' actives '
5. If the user_id of the given purchase is in actives, then the seven_days_number array should change from 0 to 1 on the given index.

client = bigquery.Client(project="project")

QUERY = ('SELECT * FROM `project.four_dollar_buyers`')
query_job = client.query(QUERY)                             
four_dollar_purchases = list(query_job.result())                        

for row in four_dollar_purchases:                                       

  seven_days_date = ["","","","","","",""]                          
  seven_days_number = [0,0,0,0,0,0,0]                                   

  for i in range(7):
    date_time_obj = datetime.strptime(row[1], '%Y%m%d')                 
    date_time_obj = date_time_obj + timedelta(days=1)+timedelta(days=i)         
    seven_days_date[i] = date_time_obj.strftime("%Y%m%d")                   

  for idx, days in enumerate(seven_days_date):

    QUERY = ('''SELECT DISTINCT user_pseudo_id FROM 
    `project.events_'''+days+'''` WHERE event_name IN 
    ("activity_added")''')
    query_job = client.query(QUERY)
    actives = list(query_job.result())                          


  if row[0] in actives:                                 
    seven_days_number[idx] = 1                              


  print(row[1] + str(seven_days_number))

There is no error message anymore, but all result is like this 20181212(0,0,0,0,0,0,0) . So for some reason the helper array does not change, after the purchase date it gives only zeros. I checked the variables row[0] and actives with pprint and both of them contains the right result.

Answer 1

Days is not an integer type as ralaxpy has suggested. So, you can use enumeration or something else in order to modify the list using the index.

Answer 2

query_job = client.query(QUERY)
actives = list(query_job.result())

for dict in actives:
  if dict[0] == row[0]:
    seven_days_number[idx] = 1

print(row[1] + str(seven_days_number))