How to convert a Pandas series to a date object












-4















My data



[It's type is series][2]



I tried this way to convert but it didnt work










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  • 1





    Please don't share images of code, share the code instead

    – yatu
    Nov 16 '18 at 9:58
















-4















My data



[It's type is series][2]



I tried this way to convert but it didnt work










share|improve this question


















  • 1





    Please don't share images of code, share the code instead

    – yatu
    Nov 16 '18 at 9:58














-4












-4








-4








My data



[It's type is series][2]



I tried this way to convert but it didnt work










share|improve this question














My data



[It's type is series][2]



I tried this way to convert but it didnt work







python pandas






share|improve this question













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share|improve this question










asked Nov 16 '18 at 9:52









李逸扬李逸扬

2




2








  • 1





    Please don't share images of code, share the code instead

    – yatu
    Nov 16 '18 at 9:58














  • 1





    Please don't share images of code, share the code instead

    – yatu
    Nov 16 '18 at 9:58








1




1





Please don't share images of code, share the code instead

– yatu
Nov 16 '18 at 9:58





Please don't share images of code, share the code instead

– yatu
Nov 16 '18 at 9:58












2 Answers
2






active

oldest

votes


















0














To convert pandas series to dataframe, you can put column name inside extra list, e.g,



df = metro[['start_time']]





share|improve this answer































    0














    Your syntax is correct for converting a series to datetime type in pandas
    when I tried



    >>>df[0] = pd.to_datetime(df[0])
    >>>df
    0
    0 2018-01-01
    1 2018-09-09
    >>>type(df[0])


    i got



    <class 'pandas.core.series.Series'>


    try printing



    dataframe.dtypes


    then I got



    >>> df.dtypes
    0 datetime64[ns]
    dtype: object





    share|improve this answer
























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      2 Answers
      2






      active

      oldest

      votes








      2 Answers
      2






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      0














      To convert pandas series to dataframe, you can put column name inside extra list, e.g,



      df = metro[['start_time']]





      share|improve this answer




























        0














        To convert pandas series to dataframe, you can put column name inside extra list, e.g,



        df = metro[['start_time']]





        share|improve this answer


























          0












          0








          0







          To convert pandas series to dataframe, you can put column name inside extra list, e.g,



          df = metro[['start_time']]





          share|improve this answer













          To convert pandas series to dataframe, you can put column name inside extra list, e.g,



          df = metro[['start_time']]






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 16 '18 at 10:10









          hashas

          795519




          795519

























              0














              Your syntax is correct for converting a series to datetime type in pandas
              when I tried



              >>>df[0] = pd.to_datetime(df[0])
              >>>df
              0
              0 2018-01-01
              1 2018-09-09
              >>>type(df[0])


              i got



              <class 'pandas.core.series.Series'>


              try printing



              dataframe.dtypes


              then I got



              >>> df.dtypes
              0 datetime64[ns]
              dtype: object





              share|improve this answer




























                0














                Your syntax is correct for converting a series to datetime type in pandas
                when I tried



                >>>df[0] = pd.to_datetime(df[0])
                >>>df
                0
                0 2018-01-01
                1 2018-09-09
                >>>type(df[0])


                i got



                <class 'pandas.core.series.Series'>


                try printing



                dataframe.dtypes


                then I got



                >>> df.dtypes
                0 datetime64[ns]
                dtype: object





                share|improve this answer


























                  0












                  0








                  0







                  Your syntax is correct for converting a series to datetime type in pandas
                  when I tried



                  >>>df[0] = pd.to_datetime(df[0])
                  >>>df
                  0
                  0 2018-01-01
                  1 2018-09-09
                  >>>type(df[0])


                  i got



                  <class 'pandas.core.series.Series'>


                  try printing



                  dataframe.dtypes


                  then I got



                  >>> df.dtypes
                  0 datetime64[ns]
                  dtype: object





                  share|improve this answer













                  Your syntax is correct for converting a series to datetime type in pandas
                  when I tried



                  >>>df[0] = pd.to_datetime(df[0])
                  >>>df
                  0
                  0 2018-01-01
                  1 2018-09-09
                  >>>type(df[0])


                  i got



                  <class 'pandas.core.series.Series'>


                  try printing



                  dataframe.dtypes


                  then I got



                  >>> df.dtypes
                  0 datetime64[ns]
                  dtype: object






                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Nov 16 '18 at 10:27









                  Nischal GoteNischal Gote

                  36




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