Sorting a csv object by dates in python


I am trying to read and sort a csv file that has data that looks like

Date Open High Low Close Volume 27-Mar-12 8.25 8.35 8.17 8.19 9801989 26-Mar-12 8.16 8.25 8.12 8.24 8694416 23-Mar-12 8.05 8.12 7.95 8.09 8149170

I do this with

import csv data = csv.reader(open('data.csv','r'))

To sort data by Date. I do:

sorteddata = sorted(data,key=operator.itemgetter(1),reverse=False)

The problem is, that it sorted the dates by reading them as String and not as dates. So the data is sorted like so,

['3-Aug-11', '7.06', '7.23', '6.84', '7.16', '31583617'] ['3-Feb-12', '7.02', '7.12', '6.98', '7.08', '15318044'] ['3-Jan-12', '5.53', '5.59', '5.44', '5.48', '12678923'] ['3-Jun-11', '8.09', '8.17', '7.92', '7.97', '21273812'] ['3-May-11', '9.00', '9.04', '8.63', '8.80', '17356005']

Does anybody know how to sort by dates?


Use <a href="http://docs.python.org/library/datetime.html#datetime.datetime.strptime" rel="nofollow">datetime.strptime</a> to get a datetime from the date field:

from datetime import datetime data = sorted(data, key = lambda row: datetime.strptime(row[0], "%d-%b-%y"))


Use the time module for time format conversions, and convert your time strings (3-Aug-11) into numbers you can sort.

Here's some food for thought:

>>> t = time.strptime("3-Aug-11","%d-%b-%y") >>> t time.struct_time(tm_year=2011, tm_mon=8, tm_mday=3, tm_hour=0, tm_min=0, tm_sec=0, tm_wday=2, tm_yday=215, tm_isdst=-1) >>> time.mktime(t) 1312300800.0

<a href="http://docs.python.org/library/time.html#time.strftime" rel="nofollow">Documentation for time module.</a>


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