test

import pandas as pd


# Sample dataset
test_df = pd.DataFrame({'user_id': ['A', 'B', 'C', 'A', 'D', 'E', 'A', 'B']
                        , 'app_open_time':['2021-06-20 23:40:32', '2021-06-20 23:50:32', '2021-06-21 23:40:32'
                                           , '2021-06-20 23:45:32', '2021-06-23 15:20:10', '2021-06-23 15:25:10'
                                           , '2021-06-20 23:53:10', '2021-06-21 12:45:20' ]})

# The final dataframe should be created based on the following constraints:
# Datetime values within 5 minutes(<= 5 minutes) of each other should be counted as 1 for each user id
# Datetime values should be compared only within an user id instead of across user ids
# Intended output is given below
final_df = pd.DataFrame({'user_id': ['A', 'B', 'C', 'D', 'E']
                        , 'app_opens': [2, 2, 1, 1, 1]})