I have a csv file. The structure of the csv file is:
Name Hour Location
A 4 San Fransisco
B 2 New York
C 4 New York
D 7 Denton
E 8 Boston
F 1 Boston
If you observe the data above, There are
2 New York and
2 Boston
I tried to use the tabular package. I tried the tutorials mentioned in the tabular package documentation since more than 7 hours. But I dint get through.
Can anyone help me, how can I extract the count of the frequent words in that Csv file in the Location column using Python.
Thank you.
data = """Name\tHour\tLocation
A\t4\tSan Fransisco
B\t2\tNew York
C\t4\tNew York
D\t7\tDenton
E\t8\tBoston
F\t1\tBoston
"""
import csv
import StringIO
from collections import Counter
input_stream = StringIO.StringIO(data)
reader = csv.reader(input_stream, delimiter='\t')
reader.next() #skip header
cities = [row[2] for row in reader]
for (k,v) in Counter(cities).iteritems():
print "%s appears %d times" % (k, v)
Output:
San Fransisco appears 1 times
Denton appears 1 times
New York appears 2 times
Boston appears 2 times