This is first dataframe df1:
DP 1 DP 2 DP 3 DP 4 DP 5 DP 6 DP 7 DP 8 DP 9 DP 10
3.034 1.581 1.377 1.244 1.164 1.089 1.054 1.071 1.008
2.688 1.753 1.464 1.139 1.058 1.114 1.061 1.058
4.143 1.781 1.439 1.174 1.180 1.168 1.039
2.880 1.853 1.579 1.073 1.200 1.072
3.034 1.874 1.564 1.230 1.126
3.520 1.717 1.292 1.188
3.297 1.556 1.548
2.696 1.752
3.495
This is my second dataframe df2:(
DP 1 DP 2 DP 3 DP 4 DP 5 DP 6 DP 7 DP 8 DP 9 DP 10
3,57,848 11,24,788 17,35,330 22,18,270 27,45,596 33,19,994 34,66,336 36,06,286 38,33,515 39,01,463
3,52,118 12,36,139 21,70,033 33,53,322 37,99,067 41,20,063 46,47,867 49,14,039 53,39,085
2,90,507 12,92,306 22,18,525 32,35,179 39,85,995 41,32,918 46,28,910 49,09,315
3,10,608 14,18,858 21,95,047 37,57,447 40,29,929 43,81,982 45,88,268
4,43,160 11,36,350 21,28,333 28,97,821 34,02,672 38,73,311
3,96,132 13,33,217 21,80,715 29,85,752 36,91,712
4,40,832 12,88,463 24,19,861 34,83,130
3,59,480 14,21,128 28,64,498
3,76,686 13,63,294
3,44,014
=SUMPRODUCT(E1:E9,B1:B8)/SUM(OFFSET(B1,0,0,10-COLUMNS($B$1:B1)))
It is a excel formula i would like to implement in dataframe of python.
where E1:E9 is df1 rows of DP1 column
and B1:B8 is df2 rows of DP1 column
I don't know how to calculate this in python.
i Need Output like this:
3.188 1.735 1.470 1.166 1.146 1.111 1.051 1.063 1.008 1.000
Thank You For Your Time:)
