dataframe - how to add specific row and columns from pandas -
i have data set below when tried sum column sum year. want sum jan dec.
the code tried isdata.sum(axis=0)
out[64]: year jan feb mar apr may jun jul aug sep oct nov dec 0 1981 32 26 62 22 23 98 80 163 13 122 144 109 1 1982 42 30 54 50 192 37 52 77 48 46 74 52 2 1983 78 10 107 46 36 105 80 25 188 58 36 78 3 1984 72 29 34 11 29 97 67 51 145 114 51 51 4 1985 83 37 42 69 23 25 104 50 76 53 74 63 5 1986 50 12 69 51 77 39 121 234 56 45 54 89 6 1987 23 28 22 4 55 77 92 122 65 34 54 24 7 1988 72 64 40 37 41 51 106 173 36 69 38 66 8 1989 9 28 51 55 38 42 11 68 23 74 55 59 9 1990 74 79 56 46 30 25 128 42 153 79 60 42 10 1991 59 29 41 24 78 142 54 124 71 27 47 37
filter columns first , sum:
in [274]: df[df.columns[1:]].sum(axis=0) out[274]: jan 594 feb 372 mar 578 apr 415 may 622 jun 738 jul 895 aug 1129 sep 874 oct 721 nov 687 dec 670 dtype: int64 if want sum row-wise pass axis=1:
in [291]: df['total'] = df[df.columns[1:]].sum(axis=1) df out[291]: year jan feb mar apr may jun jul aug sep oct nov dec total 0 1981 32 26 62 22 23 98 80 163 13 122 144 109 894 1 1982 42 30 54 50 192 37 52 77 48 46 74 52 754 2 1983 78 10 107 46 36 105 80 25 188 58 36 78 847 3 1984 72 29 34 11 29 97 67 51 145 114 51 51 751 4 1985 83 37 42 69 23 25 104 50 76 53 74 63 699 5 1986 50 12 69 51 77 39 121 234 56 45 54 89 897 6 1987 23 28 22 4 55 77 92 122 65 34 54 24 600 7 1988 72 64 40 37 41 51 106 173 36 69 38 66 793 8 1989 9 28 51 55 38 42 11 68 23 74 55 59 513 9 1990 74 79 56 46 30 25 128 42 153 79 60 42 814 10 1991 59 29 41 24 78 142 54 124 71 27 47 37 733
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