On top of the already provided answers there is a very nice pattern in Python that allows you to enumerate both keys and values of a dictionary.

The normal case you enumerate the keys of the dictionary:

example_dict = {1:'a', 2:'b', 3:'c', 4:'d'}

for i, k in enumerate(example_dict):
    print(i, k)

Which outputs:

0 1
1 2
2 3
3 4

But if you want to enumerate through both keys and values this is the way:

for i, (k, v) in enumerate(example_dict.items()):
    print(i, k, v)

Which outputs:

0 1 a
1 2 b
2 3 c
3 4 d

Instead of using mydict, you should be using mydict.items() with enumerate as:

for i, (k, v) in enumerate(mydict.items()):
    # your stuff

Sample example:

mydict = {1: 'a', 2: 'b'}
for i, (k, v) in enumerate(mydict.items()):
    print("index: {}, key: {}, value: {}".format(i, k, v))

# which will print:
# -----------------
# index: 0, key: 1, value: a
# index: 1, key: 2, value: b

Explanation:

• enumerate() returns an iterator object which contains tuples in the format: [(index, list_element), ...]
• dict.items() returns an iterator object (in Python 3.x. It returns list in Python 2.7) in the format: [(key, value), ...]
• On combining together, enumerate(dict.items()) will return an iterator object containing tuples in the format: [(index, (key, value)), ...]

The enumerate function is returning an iterator containing the loop count plus another tuple containing the dictionary key, value pairs.

This could be described with a type hint such as:

Tuple[int, Tuple[KT, VT]]

Hence, in the inner for-loop, the key variable is being assigned to the loop count and the value variable is being assigned the tuple (Tuple[KT, VT]).

If you do not need the loop counter, then you could write:

import csv

with open("test.csv") as f:
    rows = csv.DictReader(f)
    for row in rows:
         for key, value in row.items():  
            print(key, value) 

If you need the loop counter, then the following would work:

import csv

with open("test.csv") as f:
    rows = csv.DictReader(f)
    for row in rows:
        for count, (key, value) in enumerate(rows.items()):  
            print(key, value) 

You just need to add parenthesis around (k, v) tuple:

>>> d = {1: 'foo', 2: 'bar'}
>>> for i, (k, v) in enumerate(d.iteritems()):
...     print i, k, v
...
0 1 foo
1 2 bar