I have this dataframe:
DP1 DP2 DP3 DP4 DP5 DP6 DP7 DP8 DP9 DP10 DP11 DP12
OP1 2197389.0 8.334035e+06 1.416121e+07 2.112566e+07 2.353240e+07 2.521456e+07 2.626701e+07 2.815038e+07 NaN 2.894672e+07 NaN NaN
OP2 8859402.0 3.405393e+07 5.225385e+07 6.641002e+07 7.142158e+07 7.567666e+07 7.919994e+07 8.301265e+07 8.549990e+07 8.619976e+07 8.682675e+07 8.732952e+07
OP3 14787376.0 5.051932e+07 7.526720e+07 1.109929e+08 1.197162e+08 1.261469e+08 1.338973e+08 1.354751e+08 1.388290e+08 1.414128e+08 1.422856e+08 NaN
OP4 21493250.0 6.590146e+07 1.171731e+08 1.638118e+08 1.782883e+08 1.900619e+08 1.986440e+08 2.007501e+08 2.012454e+08 2.049792e+08 2.092219e+08 2.098224e+08
OP5 21700836.0 7.355879e+07 1.157970e+08 1.607273e+08 1.744825e+08 1.836202e+08 1.976620e+08 2.020817e+08 2.048174e+08 2.067469e+08 2.104735e+08 2.123310e+08
OP6 27197016.0 8.379447e+07 1.368874e+08 1.799347e+08 1.973877e+08 2.126034e+08 2.240213e+08 2.267334e+08 2.280336e+08 2.326177e+08 2.366704e+08 2.387043e+08
OP7 28312408.0 7.638481e+07 1.235895e+08 1.656576e+08 1.802400e+08 1.934127e+08 2.064300e+08 2.095814e+08 2.135559e+08 2.163695e+08 2.182680e+08 2.204437e+08
OP8 21161654.0 7.164625e+07 1.173728e+08 1.507630e+08 1.614412e+08 1.762703e+08 1.874506e+08 1.915259e+08 1.943434e+08 1.981648e+08 2.007807e+08 2.011242e+08
OP9 22030953.0 7.391936e+07 1.188640e+08 1.502157e+08 1.577981e+08 1.702076e+08 1.790455e+08 1.829043e+08 1.843653e+08 1.877471e+08 1.897388e+08 1.912022e+08
OP10 19800999.0 5.958667e+07 1.000103e+08 1.350046e+08 1.467698e+08 1.602286e+08 1.708699e+08 1.731278e+08 1.743493e+08 1.787757e+08 1.806712e+08 NaN
OP11 26744235.0 7.160570e+07 1.086724e+08 1.423295e+08 1.527055e+08 1.640139e+08 1.719841e+08 1.747707e+08 1.763537e+08 1.861115e+08 NaN NaN
OP12 14967698.0 4.827327e+07 8.318845e+07 1.093670e+08 1.209002e+08 1.287389e+08 1.429479e+08 1.450573e+08 1.530010e+08 NaN NaN NaN
OP13 15860127.0 5.116424e+07 8.653871e+07 1.143786e+08 1.280226e+08 1.368423e+08 1.446488e+08 1.532531e+08 NaN NaN NaN NaN
OP14 16421831.0 4.605250e+07 7.286290e+07 9.995756e+07 1.093182e+08 1.195463e+08 1.367919e+08 NaN NaN NaN NaN NaN
OP15 15452224.0 4.796981e+07 7.958047e+07 1.084661e+08 1.166676e+08 1.431275e+08 NaN NaN NaN NaN NaN NaN
OP16 12994042.0 4.893026e+07 7.764653e+07 1.025860e+08 1.350187e+08 NaN NaN NaN NaN NaN NaN NaN
OP17 14602038.0 4.720123e+07 7.812935e+07 1.341007e+08 NaN NaN NaN NaN NaN NaN NaN NaN
OP18 17740235.0 5.648562e+07 1.517327e+08 NaN NaN NaN NaN NaN NaN NaN NaN NaN
OP19 23064250.0 1.879731e+08 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
OP20 221345563.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
OP21 566733526.0 1.424700e+09 2.119047e+09 2.676880e+09 2.868863e+09 3.035883e+09 3.173159e+09 3.216514e+09 3.245888e+09 3.284416e+09 3.306339e+09 3.315317e+09
Above dataframe is created using cumsum(). Here the result is in the form of Float. values are correct but it is in Floating format.
I need like below:
DP1 DP2 DP3 DP4 DP5
OP1 2197389.0 8334035.0 14161207.0 21125657.0 23532404.0 ...
OP2 8859402.0 34053933.0 52253851.0 66410020.0 71421580.0 ...
OP3 14787376.0 50519318.0 75267203.0 110992853.0 119716151.0 ...
OP4 21493250.0 65901456.0 117173071.0 163811817.0 178288346.0 ...
OP5 21700836.0 73558786.0 115797026.0 160727304.0 174482464.0 ...
...
...
For example 8.334035 value will change to 8334035. D1 is in right form but other columns is not.
