for row_number, row in enumerate(cursor):

>>> elements = ('foo', 'bar', 'baz')
>>> for elem in elements:
...     print elem
...
foo
bar
baz
>>> for count, elem in enumerate(elements):
...     print count, elem
...
0 foo
1 bar
2 baz

>>> for count, elem in enumerate(elements, 42):
...     print count, elem
...
42 foo
43 bar
44 baz

for item in enumerate(["a", "b", "c"]):
    print item

(0, "a")
(1, "b")
(2, "c")

# import modules
import numpy as np
import pandas as pd

# generate some time series for six different categories
myts = list("abcdefgh")

tsd = np.random.randn(2000)

tgt = np.random.choice(myts, 2000)

for i, l in enumerate(myts):
    tsd[tgt == l] += i // 2

# Populate into data frame
df = pd.DataFrame(dict(score = tsd, group = tgt))

# Check the results
df.head()

group  score
0   d   1.658331
1   h   3.020331
2   d   0.253232
3   d   1.494033
4   e   3.533548