From the following dates how to get months and year using python
dates are
"2011-07-01 09:26:11" //This showud display as "This month"
"2011-06-07 09:26:11" //Thi开发者_Python百科s should display as June
"2011-03-12 09:26:11" //This should display as March
"2010-07-25 09:26:11" // Should display as last year
Please let me know how to get these formats using python 2.4
When I have a date variable[with same format] in pandas dataframe, how to perform this ?
import time
import calendar
current = time.localtime()
dates = ["2011-07-01 09:26:11", "2011-06-07 09:26:11", "2011-03-12 09:26:11", "2010-07-25 09:26:11"]
for date in dates:
print "%s" % date
date = time.strptime(date, "%Y-%m-%d %H:%M:%S")
if date.tm_year == current.tm_year - 1:
print "Last year"
elif date.tm_mon == current.tm_mon:
print "This month"
else:
print calendar.month_name[date.tm_mon]
Should do roughly what you ask for.
from datetime import datetime
a = datetime.strptime('2011-07-01 09:26:11', '%Y-%m-%d %H:%M:%S')
if a.month == datetime.now().month:
print 'This month'
The other results according to http://docs.python.org/library/datetime.html
Good site for python date/time conversions: http://www.saltycrane.com/blog/2008/11/python-datetime-time-conversions/
You could use datetime.strptime to paste the date. But for simple case like yours, i would just use regex.
>>>> import re
>>>> re.match('^(\d+)-(\d+)', "2011-07-01 09:26:11").groups()
('2011', '07')
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