datetime - How to change date time formats python -

i have huge data of time series , facing problem in changing time conventions.

below different types , trying make them 1 format. not able find guidance accordingly. more data pre processing/ cleaning process trying do. next execution process python , pandas goes smooth. changing manually practically impossible need fix python script.

the input files of 2 types in csv format.

a 3 column , multiple rows col[0] date-time , rest other data. column header not constant every input file given name cannot use headers.

09/30/2015 12:00 pm,abcsd,434235 09/30/2015 12:30 pm,taer,45824 09/30/2015 13:00 pm,hshfe,4894 

the input file multiple columns , multiple rows

no.,30-09-2015 12:00 pm,30-09-2015 13:00 pm 1111,2345,2342 

types

1. 09/30/2015 12:00:00  2. 30/09/2015 12:00 3. 09/30/2015 12:00 pm 4. 30/09/2015 12:00 pm 5. 30-09-2015 12:00:00 6. 30-09-2015 12:00 pm 

the above listed types , want bring them 1 format as:

1. 30/09/2015 12:00  or   2. 09/30/2015 12:00 

i not find proper guidance in document too. not try out code far.

thanks valuable suggestions

you need read them common datetime object, print them out object.

unfortunately best way read in multiple formats have list of possible formats , try using each one.

for example:

import datetime  possible_formats = ['%h%m%s', ...]  date in dates:     format in possible_formats:         try:             formatted = datetime.strptime(date, format)             print formatted # same format every time             break # found it, stop trying formats         except:             pass # wrong format, keep trying formats