pandas merge on date range












1















I have two dataframes,



df = pd.DataFrame({'Date': ['2011-01-02', '2011-04-10', '2015-02-02', '2016-03-03'], 'Price': [100, 200, 300, 400]})

df2 = pd.DataFrame({'Date': ['2011-01-01', '2014-01-01'], 'Revenue': [14, 128]})


I want add df2.revenue to df to produce the below table using the both the date columns for reference.



Date         Price      Revenue
2011-01-02 100 14
2011-04-10 200 14
2015-02-02 300 128
2016-03-03 400 128


As above the revenue is added according df2.Date and df.Date










share|improve this question



























    1















    I have two dataframes,



    df = pd.DataFrame({'Date': ['2011-01-02', '2011-04-10', '2015-02-02', '2016-03-03'], 'Price': [100, 200, 300, 400]})

    df2 = pd.DataFrame({'Date': ['2011-01-01', '2014-01-01'], 'Revenue': [14, 128]})


    I want add df2.revenue to df to produce the below table using the both the date columns for reference.



    Date         Price      Revenue
    2011-01-02 100 14
    2011-04-10 200 14
    2015-02-02 300 128
    2016-03-03 400 128


    As above the revenue is added according df2.Date and df.Date










    share|improve this question

























      1












      1








      1








      I have two dataframes,



      df = pd.DataFrame({'Date': ['2011-01-02', '2011-04-10', '2015-02-02', '2016-03-03'], 'Price': [100, 200, 300, 400]})

      df2 = pd.DataFrame({'Date': ['2011-01-01', '2014-01-01'], 'Revenue': [14, 128]})


      I want add df2.revenue to df to produce the below table using the both the date columns for reference.



      Date         Price      Revenue
      2011-01-02 100 14
      2011-04-10 200 14
      2015-02-02 300 128
      2016-03-03 400 128


      As above the revenue is added according df2.Date and df.Date










      share|improve this question














      I have two dataframes,



      df = pd.DataFrame({'Date': ['2011-01-02', '2011-04-10', '2015-02-02', '2016-03-03'], 'Price': [100, 200, 300, 400]})

      df2 = pd.DataFrame({'Date': ['2011-01-01', '2014-01-01'], 'Revenue': [14, 128]})


      I want add df2.revenue to df to produce the below table using the both the date columns for reference.



      Date         Price      Revenue
      2011-01-02 100 14
      2011-04-10 200 14
      2015-02-02 300 128
      2016-03-03 400 128


      As above the revenue is added according df2.Date and df.Date







      python pandas






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 25 '18 at 17:48









      ben121ben121

      306110




      306110
























          1 Answer
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          active

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          3














          Use merge_asof:



          df['Date'] = pd.to_datetime(df['Date'])
          df2['Date'] = pd.to_datetime(df2['Date'])

          df3 = pd.merge_asof(df, df2, on='Date')
          print (df3)
          Date Price Revenue
          0 2011-01-02 100 14
          1 2011-04-10 200 14
          2 2015-02-02 300 128
          3 2016-03-03 400 128





          share|improve this answer



















          • 1





            Great thanks - easy when you know how

            – ben121
            Nov 25 '18 at 18:03











          Your Answer






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          1 Answer
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          active

          oldest

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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          3














          Use merge_asof:



          df['Date'] = pd.to_datetime(df['Date'])
          df2['Date'] = pd.to_datetime(df2['Date'])

          df3 = pd.merge_asof(df, df2, on='Date')
          print (df3)
          Date Price Revenue
          0 2011-01-02 100 14
          1 2011-04-10 200 14
          2 2015-02-02 300 128
          3 2016-03-03 400 128





          share|improve this answer



















          • 1





            Great thanks - easy when you know how

            – ben121
            Nov 25 '18 at 18:03
















          3














          Use merge_asof:



          df['Date'] = pd.to_datetime(df['Date'])
          df2['Date'] = pd.to_datetime(df2['Date'])

          df3 = pd.merge_asof(df, df2, on='Date')
          print (df3)
          Date Price Revenue
          0 2011-01-02 100 14
          1 2011-04-10 200 14
          2 2015-02-02 300 128
          3 2016-03-03 400 128





          share|improve this answer



















          • 1





            Great thanks - easy when you know how

            – ben121
            Nov 25 '18 at 18:03














          3












          3








          3







          Use merge_asof:



          df['Date'] = pd.to_datetime(df['Date'])
          df2['Date'] = pd.to_datetime(df2['Date'])

          df3 = pd.merge_asof(df, df2, on='Date')
          print (df3)
          Date Price Revenue
          0 2011-01-02 100 14
          1 2011-04-10 200 14
          2 2015-02-02 300 128
          3 2016-03-03 400 128





          share|improve this answer













          Use merge_asof:



          df['Date'] = pd.to_datetime(df['Date'])
          df2['Date'] = pd.to_datetime(df2['Date'])

          df3 = pd.merge_asof(df, df2, on='Date')
          print (df3)
          Date Price Revenue
          0 2011-01-02 100 14
          1 2011-04-10 200 14
          2 2015-02-02 300 128
          3 2016-03-03 400 128






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 25 '18 at 17:51









          jezraeljezrael

          347k25304379




          347k25304379








          • 1





            Great thanks - easy when you know how

            – ben121
            Nov 25 '18 at 18:03














          • 1





            Great thanks - easy when you know how

            – ben121
            Nov 25 '18 at 18:03








          1




          1





          Great thanks - easy when you know how

          – ben121
          Nov 25 '18 at 18:03





          Great thanks - easy when you know how

          – ben121
          Nov 25 '18 at 18:03




















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