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

[dervast]

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

1 2 3 4 5 6 7

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:

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

secondrow:

1	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

[Larz60+]

just pass small_pd to the function.