Parameterized for loop in Python -

i need write parameterized loop.

# works but... df["id"]=np_get_defined(df["methoda"+"id"], df["methodb"+"id"],df["methodc"+"id"])  # need loop follows df["id"]=np_get_defined(df[sm+"id"] sm in strmethods) 

and following error:

valueerror: length of values not match length of index 

remaining definitions:

import numpy np 

df pandas.dataframe

strmethods=['methoda','methodb','methodc']  def get_defined(*args):     strs = [str(arg) arg in args if not pd.isnull(arg) , 'n/a' not in str(arg) , arg!='0']     return ''.join(strs) if strs else none np_get_defined = np.vectorize(get_defined) 

df["id"]=np_get_defined(df[sm+"id"] sm in strmethods) means you're passing generator single argument called method.

if want expand generated sequence list of arguments use * operator:

df["id"] = np_get_defined(*(df[sm + "id"] sm in strmethods)) # or: df["id"] = np_get_defined(*[df[sm + "id"] sm in strmethods]) 

the first uses generator , unpacks elements, second uses list comprehension instead, result same in either case.