Python Pandas iterrows and set_value as vectorized function -

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i using function in 1 of programs, , have researched better performance can achieved through vectorization.

how can achieve same resolution using vectorized function rather using code below?

 i, row in df.iterrows():     ifor_val =     if <condition>:         ifor_val = something_else         df.set_value(i,'ifor',ifor_val)

if value depends on other values in row, can't avoid iterating.

df['ifor'] = df['some_col'].apply(lambda v: if <condition> else something_else)

this puts iteration in pandas, it's cleaner (and possibly faster).


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