Find cumulative maximum of a pandas series, but reset the cumulative maximum when 0 is encountered

Consider the series below:

1. 100
2. 102
3. 101
4. 103
5. 0
6. 12
7. 123
8. 14

I want the result to be as follows:

1. 100
2. 102
3. 102
4. 103
5. 0
6. 12
7. 123
8. 123

>Solution :

Let d be the variable containing your series, then groupby the cummulative sum of d == 0 and then obtain the cummax

d.groupby(d.eq(0).cumsum()).cummax()
Out[37]: 
0    100
1    102
2    102
3    103
4      0
5     12
6    123
7    123