How to loop the dataframe without converting to list and array?

How can I loop the dataframe and perform some conditions without using for loop for df(cuz it's slow) without converting to array or list and without using the itertuples, nor iterrows functions? Because I heard make use of pandas vectors is faster.

df =
Idx  Var1 Var2 Var3
0     0    3    0
1    10    0    0
2     0    0    2
3     0    3    0
4     0    0    1
5    10    0    2
6     0    1    1
7     0    0    0
8     0    3    0

For example:

1. Start logging when Var1 > Var3
2. Once logging is started, if Var2 < Var3, start over from condition 1 again.
3. Else, Keep scanning until (Var2 > Var3) is found
4. If Var2 > Var3, mark it down
5. Do this process through the whole dataframe
6. Return df(all rows) with conditions met

So basically it should return only 8 0 3 0 in this example. 0 0 3 0 is not it because condition 1 hadn't started yet. 3 0 3 0 is not it because 2 0 0 2 violated the condition 2, so it has to start from condition 1 again. Thanks