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How to insert rows in dataframe based on specific condition? 

I have a following dataframe:
Index Time User Description
1 27.10.2021 15:58:00 UserA@gmail.com Tab Alpha of type PARTSTUDIO opened by User A
2 27.10.2021 15:59:00 UserA@gmail.com Start edit of part studio feature
3 27.10.2021 15:59:00 UserA@gmail.com Cancel Operation
4 27.10.2021 15:59:00 UserB@gmail.com Tab Alpha of type PARTSTUDIO opened by User B
5 27.10.2021 15:59:00 UserB@gmail.com Start edit of part studio feature
6 27.10.2021 16:03:00 UserB@gmail.com Cancel Operation
7 27.10.2021 16:03:00 UserA@gmail.com Add assembly feature
9 27.10.2021 16:03:00 UserA@gmail.com Tab Beta of type PARTSTUDIO opened by User A
10 27.10.2021 16:15:00 UserA@gmail.com Start edit of part studio feature
11 27.10.2021 16:15:00 UserB@gmail.com Start edit of part studio feature
12 27.10.2021 16:15:00 UserB@gmail.com Tab Alpha of type PARTSTUDIO closed by User B
14 27.10.2021 16:54:00 UserB@gmail.com Add assembly feature
15 27.10.2021 16:55:00 UserA@gmail.com Tab Beta of type PARTSTUDIO closed by User A
16 27.10.2021 16:55:00 UserB@gmail.com Start edit of part studio feature
17 27.10.2021 16:55:00 UserB@gmail.com Tab Delta of type PARTSTUDIO closed by User B

Expected output:

Index Time User Description
1 27.10.2021 15:58:00 UserA@gmail.com Tab Alpha of type PARTSTUDIO opened by User A
2 27.10.2021 15:59:00 UserA@gmail.com Start edit of part studio feature
3 27.10.2021 15:59:00 UserA@gmail.com Cancel Operation
4 27.10.2021 15:59:00 UserB@gmail.com Tab Alpha of type PARTSTUDIO opened by User B
5 27.10.2021 15:59:00 UserB@gmail.com Start edit of part studio feature
6 27.10.2021 16:03:00 UserB@gmail.com Cancel Operation
7 27.10.2021 16:03:00 UserA@gmail.com Add assembly feature
8 27.10.2021 16:03:00 UserA@gmail.com Tab Alpha of type PARTSTUDIO closed by User A
9 27.10.2021 16:03:00 UserA@gmail.com Tab Beta of type PARTSTUDIO opened by User A
10 27.10.2021 16:15:00 UserA@gmail.com Start edit of part studio feature
11 27.10.2021 16:15:00 UserB@gmail.com Start edit of part studio feature
12 27.10.2021 16:15:00 UserB@gmail.com Tab Alpha of type PARTSTUDIO closed by User B
13 27.10.2021 16:15:00 UserB@gmail.com Tab Delta of type PARTSTUDIO opened by User B
14 27.10.2021 16:54:00 UserB@gmail.com Add assembly feature
15 27.10.2021 16:55:00 UserA@gmail.com Tab Beta of type PARTSTUDIO closed by User A
16 27.10.2021 16:55:00 UserB@gmail.com Start edit of part studio feature
17 27.10.2021 16:55:00 UserB@gmail.com Tab Delta of type PARTSTUDIO closed by User B

How to iterate through dataframe and check if after each value "Tab x opened by User y" in the Description column, the "Tab x closed by User y" follows somewhere further in the dataframe? If yes OK. If not, if the "Tab zz opened by User A" follows, that means that "Tab x closed by User y" is missing and should be inserted a row before the "Tab zz opened by User A" value (example index 8). Same goes vice versa (index 13). Is there a way to do this without df.iterrows? Thanks in advance.



source https://stackoverflow.com/questions/72164706/how-to-insert-rows-in-dataframe-based-on-specific-condition
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