Is there a simple way to reference the previous row when iterating through a dataframe?
In the following dataframe I would like column B to change to 1 when A > 1
This is what you are trying to do?
In [38]: df = DataFrame(randn(10,2),columns=list('AB'))
In [39]: df['B'] = np.nan
In [40]: df.loc[df.A<-1,'B'] = -1
In [41]: df.loc[df.A>1,'B'] = 1
In [42]: df.ffill()
Out[42]:
A B
0 -1.186808 -1
1 -0.095587 -1
2 -1.921372 -1
3 -0.772836 -1
4 0.016883 -1
5 0.350778 -1
6 0.165055 -1
7 1.101561 1
8 -0.346786 1
9 -0.186263 1