python - Add two pandas DataFrame with dates and float -


i have 2 datafames this:

         date  bin   value 0 2013-11-01   100   1 1 2013-12-01   200   1           date  bin   value 0 2013-11-01   100   2 1 2013-12-01   300   5 2 2013-10-01   100   10

i find sum of values each date , bin, ie final dataframe should be:

         date  bin   value 0 2013-11-01   100   3 1 2013-12-01   200   1 2 2013-12-01   300   15 3 2013-10-01   100   10

(indices , order not important)

when try: 

df.add(df2, fill_value = 0)

but following error : 

 typeerror: ufunc add cannot use operands types dtype('o') , dtype('<m8[ns]')

i tried using multiindex didn't manage set double (date, bin) index afterwards...

any idea how make work ?

you can indeed setting 2 columns (date , bin) multi-index, , use add specify fill value (otherwise nans):

in [65]: df1b = df1.set_index(['date', 'bin'])  in [66]: df2b = df2.set_index(['date', 'bin'])  in [67]: df1b + df2b out[67]:                 value date       bin 2013-10-01 100    nan 2013-11-01 100      3 2013-12-01 200    nan            300    nan  in [68]: df1b.add(df2b, fill_value = 0) out[68]:                 value date       bin 2013-10-01 100     10 2013-11-01 100      3 2013-12-01 200      1            300      5

another option concatenate 2 frames, , group 2 columns date , bin:

in [71]: df = pd.concat([df1, df2], ignore_index=true)  in [72]: df out[72]:          date  bin  value 0  2013-11-01  100      1 1  2013-12-01  200      1 2  2013-11-01  100      2 3  2013-12-01  300      5 4  2013-10-01  100     10  in [73]: df.groupby(['date', 'bin']).sum() out[73]:                 value date       bin 2013-10-01 100     10 2013-11-01 100      3 2013-12-01 200      1            300      5

the reason error message above apparantly dtypes of column in df1 , df2 not matching. in case, adding 2 dataframes not work, cannot add datetimes.


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