Python Checking Date Format Failing to Work











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0
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My program takes in data in the form of:



LASTNAME|FIRSTNAME|GENDER|DOB


The first thing I do is use regular expressions to detect the delimiter and split the fields. I allow a space, comma, or pipe as a delimiter. I know which field is DOB and have printed it out to ensure I'm not dealing with the wrong field.



My try code is as follows:



try:
#check if the fields are good
fields = re.split(r'[ ,|]+', line)
except:
#if not good: put it on the failure list
flist.append(line.replace('n', ''))

LastName = fields[0]
FirstName = fields[1]
Gender = fields[2]
DOB = fields[3]

#one last try... make sure the DOB is good
try:
datetime.datetime.strptime(DOB, '%m/%d/%Y')
except:
flist.append(line.replace('n', ''))
raise ValueError("DATE NOT IN RIGHT FORMAT")


I have fed the program multiple lines, and the one in particular I'm feeding:



NAME|FAKE|M|09/20/1987

ValueError: time data '09/20/1987' does not match format '%d/%m/%Y'


I've printed out the fields and I've tried converting "DOB" to a string. I've tried appending the .date() to the end as well. I'm really not sure why it would be failing.










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  • 3




    What's the 20th month? It looks like you're getting US-style dates, MM/DD/YYYY.
    – jonrsharpe
    Nov 20 at 17:57












  • Well that's embarrassing. I was banging my head against the wall figuring out why some records were processing fine and others weren't. I read through the documentation tons of times and failed to notice the mix up. Thank you so much!
    – Mike Thoma
    Nov 20 at 21:17















up vote
0
down vote

favorite












My program takes in data in the form of:



LASTNAME|FIRSTNAME|GENDER|DOB


The first thing I do is use regular expressions to detect the delimiter and split the fields. I allow a space, comma, or pipe as a delimiter. I know which field is DOB and have printed it out to ensure I'm not dealing with the wrong field.



My try code is as follows:



try:
#check if the fields are good
fields = re.split(r'[ ,|]+', line)
except:
#if not good: put it on the failure list
flist.append(line.replace('n', ''))

LastName = fields[0]
FirstName = fields[1]
Gender = fields[2]
DOB = fields[3]

#one last try... make sure the DOB is good
try:
datetime.datetime.strptime(DOB, '%m/%d/%Y')
except:
flist.append(line.replace('n', ''))
raise ValueError("DATE NOT IN RIGHT FORMAT")


I have fed the program multiple lines, and the one in particular I'm feeding:



NAME|FAKE|M|09/20/1987

ValueError: time data '09/20/1987' does not match format '%d/%m/%Y'


I've printed out the fields and I've tried converting "DOB" to a string. I've tried appending the .date() to the end as well. I'm really not sure why it would be failing.










share|improve this question




















  • 3




    What's the 20th month? It looks like you're getting US-style dates, MM/DD/YYYY.
    – jonrsharpe
    Nov 20 at 17:57












  • Well that's embarrassing. I was banging my head against the wall figuring out why some records were processing fine and others weren't. I read through the documentation tons of times and failed to notice the mix up. Thank you so much!
    – Mike Thoma
    Nov 20 at 21:17













up vote
0
down vote

favorite









up vote
0
down vote

favorite











My program takes in data in the form of:



LASTNAME|FIRSTNAME|GENDER|DOB


The first thing I do is use regular expressions to detect the delimiter and split the fields. I allow a space, comma, or pipe as a delimiter. I know which field is DOB and have printed it out to ensure I'm not dealing with the wrong field.



My try code is as follows:



try:
#check if the fields are good
fields = re.split(r'[ ,|]+', line)
except:
#if not good: put it on the failure list
flist.append(line.replace('n', ''))

LastName = fields[0]
FirstName = fields[1]
Gender = fields[2]
DOB = fields[3]

#one last try... make sure the DOB is good
try:
datetime.datetime.strptime(DOB, '%m/%d/%Y')
except:
flist.append(line.replace('n', ''))
raise ValueError("DATE NOT IN RIGHT FORMAT")


I have fed the program multiple lines, and the one in particular I'm feeding:



NAME|FAKE|M|09/20/1987

ValueError: time data '09/20/1987' does not match format '%d/%m/%Y'


I've printed out the fields and I've tried converting "DOB" to a string. I've tried appending the .date() to the end as well. I'm really not sure why it would be failing.










share|improve this question















My program takes in data in the form of:



LASTNAME|FIRSTNAME|GENDER|DOB


The first thing I do is use regular expressions to detect the delimiter and split the fields. I allow a space, comma, or pipe as a delimiter. I know which field is DOB and have printed it out to ensure I'm not dealing with the wrong field.



My try code is as follows:



try:
#check if the fields are good
fields = re.split(r'[ ,|]+', line)
except:
#if not good: put it on the failure list
flist.append(line.replace('n', ''))

LastName = fields[0]
FirstName = fields[1]
Gender = fields[2]
DOB = fields[3]

#one last try... make sure the DOB is good
try:
datetime.datetime.strptime(DOB, '%m/%d/%Y')
except:
flist.append(line.replace('n', ''))
raise ValueError("DATE NOT IN RIGHT FORMAT")


I have fed the program multiple lines, and the one in particular I'm feeding:



NAME|FAKE|M|09/20/1987

ValueError: time data '09/20/1987' does not match format '%d/%m/%Y'


I've printed out the fields and I've tried converting "DOB" to a string. I've tried appending the .date() to the end as well. I'm really not sure why it would be failing.







python python-datetime






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edited Nov 20 at 17:58









jonrsharpe

76.6k11100207




76.6k11100207










asked Nov 20 at 17:56









Mike Thoma

192




192








  • 3




    What's the 20th month? It looks like you're getting US-style dates, MM/DD/YYYY.
    – jonrsharpe
    Nov 20 at 17:57












  • Well that's embarrassing. I was banging my head against the wall figuring out why some records were processing fine and others weren't. I read through the documentation tons of times and failed to notice the mix up. Thank you so much!
    – Mike Thoma
    Nov 20 at 21:17














  • 3




    What's the 20th month? It looks like you're getting US-style dates, MM/DD/YYYY.
    – jonrsharpe
    Nov 20 at 17:57












  • Well that's embarrassing. I was banging my head against the wall figuring out why some records were processing fine and others weren't. I read through the documentation tons of times and failed to notice the mix up. Thank you so much!
    – Mike Thoma
    Nov 20 at 21:17








3




3




What's the 20th month? It looks like you're getting US-style dates, MM/DD/YYYY.
– jonrsharpe
Nov 20 at 17:57






What's the 20th month? It looks like you're getting US-style dates, MM/DD/YYYY.
– jonrsharpe
Nov 20 at 17:57














Well that's embarrassing. I was banging my head against the wall figuring out why some records were processing fine and others weren't. I read through the documentation tons of times and failed to notice the mix up. Thank you so much!
– Mike Thoma
Nov 20 at 21:17




Well that's embarrassing. I was banging my head against the wall figuring out why some records were processing fine and others weren't. I read through the documentation tons of times and failed to notice the mix up. Thank you so much!
– Mike Thoma
Nov 20 at 21:17












1 Answer
1






active

oldest

votes

















up vote
1
down vote













@jonrsharpe is right. You're trying to parse a MM/DD/YYYY string as DD/MM/YYYY. If all of your dates are in the same format, you should be using '%d/%m/%Y' as your format string.






share|improve this answer

















  • 1




    Well that's embarrassing. I was banging my head against the wall figuring out why some records were processing fine and others weren't. I read through the documentation tons of times and failed to notice the mix up. Thank you so much!
    – Mike Thoma
    Nov 20 at 21:16













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1 Answer
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active

oldest

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1 Answer
1






active

oldest

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active

oldest

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active

oldest

votes








up vote
1
down vote













@jonrsharpe is right. You're trying to parse a MM/DD/YYYY string as DD/MM/YYYY. If all of your dates are in the same format, you should be using '%d/%m/%Y' as your format string.






share|improve this answer

















  • 1




    Well that's embarrassing. I was banging my head against the wall figuring out why some records were processing fine and others weren't. I read through the documentation tons of times and failed to notice the mix up. Thank you so much!
    – Mike Thoma
    Nov 20 at 21:16

















up vote
1
down vote













@jonrsharpe is right. You're trying to parse a MM/DD/YYYY string as DD/MM/YYYY. If all of your dates are in the same format, you should be using '%d/%m/%Y' as your format string.






share|improve this answer

















  • 1




    Well that's embarrassing. I was banging my head against the wall figuring out why some records were processing fine and others weren't. I read through the documentation tons of times and failed to notice the mix up. Thank you so much!
    – Mike Thoma
    Nov 20 at 21:16















up vote
1
down vote










up vote
1
down vote









@jonrsharpe is right. You're trying to parse a MM/DD/YYYY string as DD/MM/YYYY. If all of your dates are in the same format, you should be using '%d/%m/%Y' as your format string.






share|improve this answer












@jonrsharpe is right. You're trying to parse a MM/DD/YYYY string as DD/MM/YYYY. If all of your dates are in the same format, you should be using '%d/%m/%Y' as your format string.







share|improve this answer












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share|improve this answer










answered Nov 20 at 18:44









Wieschie

169110




169110








  • 1




    Well that's embarrassing. I was banging my head against the wall figuring out why some records were processing fine and others weren't. I read through the documentation tons of times and failed to notice the mix up. Thank you so much!
    – Mike Thoma
    Nov 20 at 21:16
















  • 1




    Well that's embarrassing. I was banging my head against the wall figuring out why some records were processing fine and others weren't. I read through the documentation tons of times and failed to notice the mix up. Thank you so much!
    – Mike Thoma
    Nov 20 at 21:16










1




1




Well that's embarrassing. I was banging my head against the wall figuring out why some records were processing fine and others weren't. I read through the documentation tons of times and failed to notice the mix up. Thank you so much!
– Mike Thoma
Nov 20 at 21:16






Well that's embarrassing. I was banging my head against the wall figuring out why some records were processing fine and others weren't. I read through the documentation tons of times and failed to notice the mix up. Thank you so much!
– Mike Thoma
Nov 20 at 21:16




















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