How to iterate through two pandas columns

Question

Consider:

In [35]: test = pd.DataFrame({'a':range(4),'b':range(4,8)})

In [36]: test
Out[36]:
   a  b
0  0  4
1  1  5
2  2  6
3  3  7

In [37]: for i in test['a']:
   ....:  print i
   ....:
0
1
2
3

In [38]: for i,j in test:
   ....:  print i,j
   ....:
------------------------------------------------------------
Traceback (most recent call last):
  File "<ipython console>", line 1, in <module>
ValueError: need more than 1 value to unpack


In [39]: for i,j in test[['a','b']]:
   ....:  print i,j
   ....:
------------------------------------------------------------
Traceback (most recent call last):
  File "<ipython console>", line 1, in <module>
ValueError: need more than 1 value to unpack


In [40]: for i,j in [test['a'],test['b']]:
   ....:  print i,j
   ....:
------------------------------------------------------------
Traceback (most recent call last):
  File "<ipython console>", line 1, in <module>
ValueError: too many values to unpack

Answer 1

Use the DataFrame.itertuples() method:

for a, b in test.itertuples(index=False):
    print a, b

Answer 2

You can use zip (this is native in Python 3 and can be imported from itertools as izip in Python 2.7):

Python 3

for a,b in zip(test.a, test.b):
    print(a,b)

Python 2

for a,b in izip(test.a, test.b):
    print a,b

Answer 3

Try,

for i in test.index : print test['a'][i], test['b'][i]

to give you,

0 4
1 5
2 6
3 7