Adding a column into pandas dataframe but on row by row basis -


I think there is no question as much as I need.

I repeat the row by a panda dataframe line, then on the basis of each item in the row, I do some complex operations and regress on some other set of data Nd files. I would like to include that regression as a column in this original dataframe. Tried some things, but it is not working.

What I'm trying here 

  import pandas as pd ... dfd = & lt; my dataframe & gt; Starting with DFD ['New Column'] = 0 # 0 This was not working for me, DFD Rows in atorro (): & lt; Take some complex operations & gt; RES = Result of complex operation line ['new column'] = res print dfd.to_string ()   
 At this point I still have everyone put it in new column 0  To change the value of a column during the recurring row, try this  
  df ['' 
  
  DEF Complex_action (line):      
 This may be a cleaner to re-apply your work. ... Return Race dfd ['new column'] = dfd.apply (complex_operation, axis = 1)

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