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Pandas DateOffset, step back one day


How to subtract a day from a date?Add days to JavaScript DateCalculate difference between two dates (number of days)?Renaming columns in pandasAdding new column to existing DataFrame in Python pandasDelete column from pandas DataFrame by column name“Large data” work flows using pandasHow to iterate over rows in a DataFrame in Pandas?Select rows from a DataFrame based on values in a column in pandasPandas 0.18 vs 0.12 performance













6















I try to understand why



print(pd.Timestamp("2015-01-01") - pd.DateOffset(day=1))


does not result in



pd.Timestamp("2014-12-31")


I am using Pandas 0.18. I run within the CET timezone.










share|improve this question


























    6















    I try to understand why



    print(pd.Timestamp("2015-01-01") - pd.DateOffset(day=1))


    does not result in



    pd.Timestamp("2014-12-31")


    I am using Pandas 0.18. I run within the CET timezone.










    share|improve this question
























      6












      6








      6


      1






      I try to understand why



      print(pd.Timestamp("2015-01-01") - pd.DateOffset(day=1))


      does not result in



      pd.Timestamp("2014-12-31")


      I am using Pandas 0.18. I run within the CET timezone.










      share|improve this question














      I try to understand why



      print(pd.Timestamp("2015-01-01") - pd.DateOffset(day=1))


      does not result in



      pd.Timestamp("2014-12-31")


      I am using Pandas 0.18. I run within the CET timezone.







      date pandas






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Apr 21 '16 at 8:51









      tschmtschm

      1,30021932




      1,30021932






















          2 Answers
          2






          active

          oldest

          votes


















          7














          There is typo, you need add s to day - days. But it is very interesting, that it not raise error.



          print(pd.Timestamp("2015-01-01") - pd.DateOffset(days=1))
          2014-12-31 00:00:00


          Another solution:



          print(pd.Timestamp("2015-01-01") - pd.offsets.Day(1))
          2014-12-31 00:00:00


          Oalso is possible subtract Timedelta:



          print(pd.Timestamp("2015-01-01") - pd.Timedelta(1, unit='d'))





          share|improve this answer
































            1














            Day(d) and DateOffset(days=d) do not behave exactly the same when used on timestamps with timezone information (at least on pandas 0.18.0). It looks like DateOffset add 1 day while keeping the hour information while Day adds just 24 hours of elapsed time.



            >>> # 30/10/2016 02:00+02:00 is the hour before the DST change
            >>> print(pd.Timestamp("2016-10-30 02:00+02:00", tz="Europe/Brussels") + pd.offsets.Day(1))
            2016-10-31 01:00:00+01:00
            >>> print(pd.Timestamp("2016-10-30 02:00+02:00", tz="Europe/Brussels") + pd.DateOffset(days=1))
            2016-10-31 02:00:00+01:00





            share|improve this answer






















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              2 Answers
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              2 Answers
              2






              active

              oldest

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              active

              oldest

              votes






              active

              oldest

              votes









              7














              There is typo, you need add s to day - days. But it is very interesting, that it not raise error.



              print(pd.Timestamp("2015-01-01") - pd.DateOffset(days=1))
              2014-12-31 00:00:00


              Another solution:



              print(pd.Timestamp("2015-01-01") - pd.offsets.Day(1))
              2014-12-31 00:00:00


              Oalso is possible subtract Timedelta:



              print(pd.Timestamp("2015-01-01") - pd.Timedelta(1, unit='d'))





              share|improve this answer





























                7














                There is typo, you need add s to day - days. But it is very interesting, that it not raise error.



                print(pd.Timestamp("2015-01-01") - pd.DateOffset(days=1))
                2014-12-31 00:00:00


                Another solution:



                print(pd.Timestamp("2015-01-01") - pd.offsets.Day(1))
                2014-12-31 00:00:00


                Oalso is possible subtract Timedelta:



                print(pd.Timestamp("2015-01-01") - pd.Timedelta(1, unit='d'))





                share|improve this answer



























                  7












                  7








                  7







                  There is typo, you need add s to day - days. But it is very interesting, that it not raise error.



                  print(pd.Timestamp("2015-01-01") - pd.DateOffset(days=1))
                  2014-12-31 00:00:00


                  Another solution:



                  print(pd.Timestamp("2015-01-01") - pd.offsets.Day(1))
                  2014-12-31 00:00:00


                  Oalso is possible subtract Timedelta:



                  print(pd.Timestamp("2015-01-01") - pd.Timedelta(1, unit='d'))





                  share|improve this answer















                  There is typo, you need add s to day - days. But it is very interesting, that it not raise error.



                  print(pd.Timestamp("2015-01-01") - pd.DateOffset(days=1))
                  2014-12-31 00:00:00


                  Another solution:



                  print(pd.Timestamp("2015-01-01") - pd.offsets.Day(1))
                  2014-12-31 00:00:00


                  Oalso is possible subtract Timedelta:



                  print(pd.Timestamp("2015-01-01") - pd.Timedelta(1, unit='d'))






                  share|improve this answer














                  share|improve this answer



                  share|improve this answer








                  edited Mar 8 at 9:29

























                  answered Apr 21 '16 at 8:55









                  jezraeljezrael

                  351k26315391




                  351k26315391























                      1














                      Day(d) and DateOffset(days=d) do not behave exactly the same when used on timestamps with timezone information (at least on pandas 0.18.0). It looks like DateOffset add 1 day while keeping the hour information while Day adds just 24 hours of elapsed time.



                      >>> # 30/10/2016 02:00+02:00 is the hour before the DST change
                      >>> print(pd.Timestamp("2016-10-30 02:00+02:00", tz="Europe/Brussels") + pd.offsets.Day(1))
                      2016-10-31 01:00:00+01:00
                      >>> print(pd.Timestamp("2016-10-30 02:00+02:00", tz="Europe/Brussels") + pd.DateOffset(days=1))
                      2016-10-31 02:00:00+01:00





                      share|improve this answer



























                        1














                        Day(d) and DateOffset(days=d) do not behave exactly the same when used on timestamps with timezone information (at least on pandas 0.18.0). It looks like DateOffset add 1 day while keeping the hour information while Day adds just 24 hours of elapsed time.



                        >>> # 30/10/2016 02:00+02:00 is the hour before the DST change
                        >>> print(pd.Timestamp("2016-10-30 02:00+02:00", tz="Europe/Brussels") + pd.offsets.Day(1))
                        2016-10-31 01:00:00+01:00
                        >>> print(pd.Timestamp("2016-10-30 02:00+02:00", tz="Europe/Brussels") + pd.DateOffset(days=1))
                        2016-10-31 02:00:00+01:00





                        share|improve this answer

























                          1












                          1








                          1







                          Day(d) and DateOffset(days=d) do not behave exactly the same when used on timestamps with timezone information (at least on pandas 0.18.0). It looks like DateOffset add 1 day while keeping the hour information while Day adds just 24 hours of elapsed time.



                          >>> # 30/10/2016 02:00+02:00 is the hour before the DST change
                          >>> print(pd.Timestamp("2016-10-30 02:00+02:00", tz="Europe/Brussels") + pd.offsets.Day(1))
                          2016-10-31 01:00:00+01:00
                          >>> print(pd.Timestamp("2016-10-30 02:00+02:00", tz="Europe/Brussels") + pd.DateOffset(days=1))
                          2016-10-31 02:00:00+01:00





                          share|improve this answer













                          Day(d) and DateOffset(days=d) do not behave exactly the same when used on timestamps with timezone information (at least on pandas 0.18.0). It looks like DateOffset add 1 day while keeping the hour information while Day adds just 24 hours of elapsed time.



                          >>> # 30/10/2016 02:00+02:00 is the hour before the DST change
                          >>> print(pd.Timestamp("2016-10-30 02:00+02:00", tz="Europe/Brussels") + pd.offsets.Day(1))
                          2016-10-31 01:00:00+01:00
                          >>> print(pd.Timestamp("2016-10-30 02:00+02:00", tz="Europe/Brussels") + pd.DateOffset(days=1))
                          2016-10-31 02:00:00+01:00






                          share|improve this answer












                          share|improve this answer



                          share|improve this answer










                          answered Sep 24 '16 at 16:33









                          sdementensdementen

                          9924




                          9924



























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