iterrows pandas get next rows value

Question

I have a df in pandas

import pandas as pd
df = pd.DataFrame([\'AA\', \'BB\', \'CC\'], columns = [\'value\'])

I want to iterate over rows in

Answer 1

This can be solved also by izipping the dataframe (iterator) with an offset version of itself.

Of course the indexing error cannot be reproduced this way.

Check this out

import pandas as pd
from itertools import izip

df = pd.DataFrame(['AA', 'BB', 'CC'], columns = ['value'])   

for id1, id2 in izip(df.iterrows(),df.ix[1:].iterrows()):
    print id1[1]['value']
    print id2[1]['value']

which gives

AA
BB
BB
CC