Consider the following DataFrame df
:
index A
0 -1
1 0
2 1
3 -1 # <==== here, df['A'].cumsum() == 0, starting from last row
4 -1
5 -1
6 1
7 -1
8 1
9 1
10 1
I am trying to determine at which row the cumulative sum of A
— counted from the last row — equals zero.
In this post, the solution will not work if a column contains negative values, which is my case.
Moving from top to bottom I presume
df[df['A'].cumsum() == 0]
would work but this procedure would need to be reversed.
Do you have any pointers in how to do this?
[::-1]
can reverse any series or list:
df[df['A'][::-1].cumsum()==0]