getting term frequencies from csv file using python

freq.py

import csv
from stop_words import get_stop_words
from collections import Counter

#Get the file into a list
with open('taw_quer.csv', 'rb') as f:
    reader = csv.reader(f)
    data = list(reader)

"""
Since each row is a word, flatten each row and insert all elems 
into a master list. Likely a more elegant approach
"""
flat1 = []
flat2 = []
final = []

for x in data:
	for y in x:
		flat1.append(y)

for each in flat1:
	flat2.append(each.split())

for each in flat2:
	for x in each:
		final.append(x)

"""
lower case the terms and eliminate stop words
"""
lower = [x.lower() for x in final]
stop_words = get_stop_words('english')
no_stop = [x for x in final if x not in stop_words]


"""
Get Term Frequencies using a Counter object from 
the collections lib
"""

c = Counter(no_stop)

for x in c.most_common(50):
	print x