5 python columns, row-wise as input to a function

5 python columns, row-wise as input to a function - Printable Version

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5 python columns, row-wise as input to a function - dervast - Jul-17-2019

Hi all,
I have a data frame that has 5 columns named as '0','1','2','3','4'

small_pd
Out[53]: 
          0     1     2     3     4 
0      93.0  94.0  93.0  33.0   0.0  
1      92.0  94.0  92.0  33.0   0.0 
2      92.0  93.0  92.0  33.0   0.0  
3      92.0  94.0  20.0  33.0  76.0

I want to use row-wise the input above to feed a function that does the following. I give as example for the first and second row

firstrow:

takeValue[93]-takeValue[94]+takeValue[93]-takeValue[33]+takeValue[0]

secondrow:

takeValue[92]-takeValue[94]+takeValue[92]-takeValue[33]+takeValue[0]

for the third row onwards and then assign all those results as an extra column.
I have heard about lambda function that can work row-wise but I am not sure how to implement one.

Can you please advice me?
Thanks a lot
Alex

RE: 5 python columns, row-wise as input to a function - Larz60+ - Jul-17-2019

just pass small_pd to the function.