I have the following dataframe:
Node Type
0 InData 2944.516970
InInterests 3703.208935
1 InData 6207.580040
InInterests 3505.068411
2 InData 8133.002730
InInterests 3735.028306
3 InData 9426.704710
InInterests 2665.989291
4 InData 2604.157800
InInterests 3103.310729
5 InData 6784.829160
InInterests 3293.815375
6 InData 6823.617400
InInterests 4121.833980
7 InData 4072.702770
InInterests 3033.609368
8 InData 4614.608240
InInterests 2955.216811
9 InData 6986.500750
InInterests 2986.820394
Name: KilobytesRaw, dtype: float64
I want to compute the sum of InData
and InInterests
, but couldn't find this case in the Pandas indexing page, nor on Google.
So my I want my dataframe to look like this
Node
0 mean 2944.516970
1 mean 6207.580040
...
9 mean 8133.002730
Can anybody help please?
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