Convert minutes into datetime in python












0














I have a data frame as below



customerid  mydate
123 15:11.01
234 42:34.04
234 39:35.01


I have df with mixed timestamps example



customerid            mydate

123 2016-08-15 18:22:40
234 2017-08-15 42:34.04
234 39:35.01


mydate is a null object and I want to convert it into date time. I used the below



df['mydate'] =  pd.to_datetime(df['mydate'], format='%M:%S')


I get the error below



ValueError: unconverted data remains: .0









share|improve this question
























  • What is print (df.columns.tolist()) ?
    – jezrael
    Nov 20 at 9:45






  • 2




    keyError Only throw when you are trying to access undefined column, may be your column name contains spaces
    – Mohamed Thasin ah
    Nov 20 at 9:45










  • @jezrael ['customerid', 'mydate']
    – Ian Okeyo
    Nov 20 at 9:49










  • @jezrael I df with mixed timestamps example customer id mydate 123 2016-08-15 18:22:40 234 2017-08-15 42:34.04 234 39:35.01
    – Ian Okeyo
    Nov 20 at 19:07












  • Sorry, I was offline, but now add answer to your last question.
    – jezrael
    Nov 21 at 6:38
















0














I have a data frame as below



customerid  mydate
123 15:11.01
234 42:34.04
234 39:35.01


I have df with mixed timestamps example



customerid            mydate

123 2016-08-15 18:22:40
234 2017-08-15 42:34.04
234 39:35.01


mydate is a null object and I want to convert it into date time. I used the below



df['mydate'] =  pd.to_datetime(df['mydate'], format='%M:%S')


I get the error below



ValueError: unconverted data remains: .0









share|improve this question
























  • What is print (df.columns.tolist()) ?
    – jezrael
    Nov 20 at 9:45






  • 2




    keyError Only throw when you are trying to access undefined column, may be your column name contains spaces
    – Mohamed Thasin ah
    Nov 20 at 9:45










  • @jezrael ['customerid', 'mydate']
    – Ian Okeyo
    Nov 20 at 9:49










  • @jezrael I df with mixed timestamps example customer id mydate 123 2016-08-15 18:22:40 234 2017-08-15 42:34.04 234 39:35.01
    – Ian Okeyo
    Nov 20 at 19:07












  • Sorry, I was offline, but now add answer to your last question.
    – jezrael
    Nov 21 at 6:38














0












0








0







I have a data frame as below



customerid  mydate
123 15:11.01
234 42:34.04
234 39:35.01


I have df with mixed timestamps example



customerid            mydate

123 2016-08-15 18:22:40
234 2017-08-15 42:34.04
234 39:35.01


mydate is a null object and I want to convert it into date time. I used the below



df['mydate'] =  pd.to_datetime(df['mydate'], format='%M:%S')


I get the error below



ValueError: unconverted data remains: .0









share|improve this question















I have a data frame as below



customerid  mydate
123 15:11.01
234 42:34.04
234 39:35.01


I have df with mixed timestamps example



customerid            mydate

123 2016-08-15 18:22:40
234 2017-08-15 42:34.04
234 39:35.01


mydate is a null object and I want to convert it into date time. I used the below



df['mydate'] =  pd.to_datetime(df['mydate'], format='%M:%S')


I get the error below



ValueError: unconverted data remains: .0






python python-3.x pandas






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 20 at 19:42

























asked Nov 20 at 9:43









Ian Okeyo

112




112












  • What is print (df.columns.tolist()) ?
    – jezrael
    Nov 20 at 9:45






  • 2




    keyError Only throw when you are trying to access undefined column, may be your column name contains spaces
    – Mohamed Thasin ah
    Nov 20 at 9:45










  • @jezrael ['customerid', 'mydate']
    – Ian Okeyo
    Nov 20 at 9:49










  • @jezrael I df with mixed timestamps example customer id mydate 123 2016-08-15 18:22:40 234 2017-08-15 42:34.04 234 39:35.01
    – Ian Okeyo
    Nov 20 at 19:07












  • Sorry, I was offline, but now add answer to your last question.
    – jezrael
    Nov 21 at 6:38


















  • What is print (df.columns.tolist()) ?
    – jezrael
    Nov 20 at 9:45






  • 2




    keyError Only throw when you are trying to access undefined column, may be your column name contains spaces
    – Mohamed Thasin ah
    Nov 20 at 9:45










  • @jezrael ['customerid', 'mydate']
    – Ian Okeyo
    Nov 20 at 9:49










  • @jezrael I df with mixed timestamps example customer id mydate 123 2016-08-15 18:22:40 234 2017-08-15 42:34.04 234 39:35.01
    – Ian Okeyo
    Nov 20 at 19:07












  • Sorry, I was offline, but now add answer to your last question.
    – jezrael
    Nov 21 at 6:38
















What is print (df.columns.tolist()) ?
– jezrael
Nov 20 at 9:45




What is print (df.columns.tolist()) ?
– jezrael
Nov 20 at 9:45




2




2




keyError Only throw when you are trying to access undefined column, may be your column name contains spaces
– Mohamed Thasin ah
Nov 20 at 9:45




keyError Only throw when you are trying to access undefined column, may be your column name contains spaces
– Mohamed Thasin ah
Nov 20 at 9:45












@jezrael ['customerid', 'mydate']
– Ian Okeyo
Nov 20 at 9:49




@jezrael ['customerid', 'mydate']
– Ian Okeyo
Nov 20 at 9:49












@jezrael I df with mixed timestamps example customer id mydate 123 2016-08-15 18:22:40 234 2017-08-15 42:34.04 234 39:35.01
– Ian Okeyo
Nov 20 at 19:07






@jezrael I df with mixed timestamps example customer id mydate 123 2016-08-15 18:22:40 234 2017-08-15 42:34.04 234 39:35.01
– Ian Okeyo
Nov 20 at 19:07














Sorry, I was offline, but now add answer to your last question.
– jezrael
Nov 21 at 6:38




Sorry, I was offline, but now add answer to your last question.
– jezrael
Nov 21 at 6:38

















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