How to remove some string value in timestamp












1















I have dataframe column timestamp is string format
2016-03-29 23:29:14 +0000.
How can keep only 2016-03-29 23:29:14.?






python dataframe







share|improve this question


















  • 4





    Minimal, Complete, and Verifiable example, please.

    – timgeb
    Nov 21 '18 at 15:01











  • your_string.split('+')[0], although yes timgeb is right.

    – NoorJafri
    Nov 21 '18 at 15:01


















1















I have dataframe column timestamp is string format
2016-03-29 23:29:14 +0000.
How can keep only 2016-03-29 23:29:14.?






python dataframe







share|improve this question


















  • 4





    Minimal, Complete, and Verifiable example, please.

    – timgeb
    Nov 21 '18 at 15:01











  • your_string.split('+')[0], although yes timgeb is right.

    – NoorJafri
    Nov 21 '18 at 15:01
















1












1








1








I have dataframe column timestamp is string format
2016-03-29 23:29:14 +0000.
How can keep only 2016-03-29 23:29:14.?






python dataframe







share|improve this question














I have dataframe column timestamp is string format
2016-03-29 23:29:14 +0000.
How can keep only 2016-03-29 23:29:14.?






python dataframe




python dataframe






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 21 '18 at 14:59









RayRay

214




214








  • 4





    Minimal, Complete, and Verifiable example, please.

    – timgeb
    Nov 21 '18 at 15:01











  • your_string.split('+')[0], although yes timgeb is right.

    – NoorJafri
    Nov 21 '18 at 15:01
















  • 4





    Minimal, Complete, and Verifiable example, please.

    – timgeb
    Nov 21 '18 at 15:01











  • your_string.split('+')[0], although yes timgeb is right.

    – NoorJafri
    Nov 21 '18 at 15:01










4




4





Minimal, Complete, and Verifiable example, please.

– timgeb
Nov 21 '18 at 15:01





Minimal, Complete, and Verifiable example, please.

– timgeb
Nov 21 '18 at 15:01













your_string.split('+')[0], although yes timgeb is right.

– NoorJafri
Nov 21 '18 at 15:01







your_string.split('+')[0], although yes timgeb is right.

– NoorJafri
Nov 21 '18 at 15:01














1 Answer
1






active

oldest

votes


















2














If the original timestamp column is of type string, then you can proceed as follows:



In [2]: df

Out[2]: 

                   timestamp

0  2016-03-29 23:29:14 +0000



In [3]: pd.to_datetime(df.timestamp).astype(str)

Out[3]: 

0    2016-03-29 23:29:14

Name: timestamp, dtype: object





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    1 Answer
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    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    2














    If the original timestamp column is of type string, then you can proceed as follows:



    In [2]: df
    
Out[2]: 
    
                   timestamp
    
0  2016-03-29 23:29:14 +0000
    

    
In [3]: pd.to_datetime(df.timestamp).astype(str)
    
Out[3]: 
    
0    2016-03-29 23:29:14
    
Name: timestamp, dtype: object





    share|improve this answer






























      2














      If the original timestamp column is of type string, then you can proceed as follows:



      In [2]: df
      
Out[2]: 
      
                   timestamp
      
0  2016-03-29 23:29:14 +0000
      

      
In [3]: pd.to_datetime(df.timestamp).astype(str)
      
Out[3]: 
      
0    2016-03-29 23:29:14
      
Name: timestamp, dtype: object





      share|improve this answer




























        2












        2








        2







        If the original timestamp column is of type string, then you can proceed as follows:



        In [2]: df
        
Out[2]: 
        
                   timestamp
        
0  2016-03-29 23:29:14 +0000
        

        
In [3]: pd.to_datetime(df.timestamp).astype(str)
        
Out[3]: 
        
0    2016-03-29 23:29:14
        
Name: timestamp, dtype: object





        share|improve this answer















        If the original timestamp column is of type string, then you can proceed as follows:



        In [2]: df
        
Out[2]: 
        
                   timestamp
        
0  2016-03-29 23:29:14 +0000
        

        
In [3]: pd.to_datetime(df.timestamp).astype(str)
        
Out[3]: 
        
0    2016-03-29 23:29:14
        
Name: timestamp, dtype: object






        share|improve this answer














        share|improve this answer



        share|improve this answer








        edited Nov 21 '18 at 15:25

























        answered Nov 21 '18 at 15:10









        MedAliMedAli

        6,97074080




        6,97074080
































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