Pandas iterate over DataFrame row pairs

Question

How can I iterate over pairs of rows of a Pandas DataFrame?

For example:

content = [(1,2,[1,3]),(3,4,[2,4]),(5,6,[6,9]),(7,8,[9,10])]
df = pd.DataFra         


        

Answer 1

If you want to keep the loop for, using zip and iterrows could be a way

for (indx1,row1),(indx2,row2) in zip(df[:-1].iterrows(),df[1:].iterrows()):
    print "row1:\n", row1
    print "row2:\n", row2
    print "\n"

To access the next row at the same time, start the second iterrow one row after with df[1:].iterrows(). and you get the output the way you want.

row1:
a    1
b    2
Name: 0, dtype: int64
row2:
a    3
b    4
Name: 1, dtype: int64


row1:
a    3
b    4
Name: 1, dtype: int64
row2:
a    5
b    6
Name: 2, dtype: int64


row1:
a    5
b    6
Name: 2, dtype: int64
row2:
a    7
b    8
Name: 3, dtype: int64

But as said @RafaelC, doing for loop might not be the best method for your general problem.