python - Merge two csv files based on key and secondary key -

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i merge 2 csv files follows:

csv1:

formula,solver,runtime,conflicts cbs_k3_n100_m403_b30_13.cnf,swdia5by,0.001842,318 cbs_k3_n100_m403_b30_13.cnf,glucose,0.001842,318

csv2:

formula,entropy,num sols cbs_k3_n100_m403_b30_13.cnf,0.202,707286

desired output:

formula,solver,runtime,conflicts,entropy,solutions cbs_k3_n100_m403_b30_13.cnf,swdia5by,0.001842,318,0.202,707286 cbs_k3_n100_m403_b30_13.cnf,glucose,0.001842,318,0.202,707286

so did intersection between keys of 2 dictionaries (csv's), , used list comprehension

keysa = set(dict1.keys()) keysb = set(dict2.keys()) keys = keysa & keysb ... [[key] + dict1.get(key, []) + dict2.get(key, []) key in keys]

but there 'duplicate' rows (which need) field formula same field solver isn't, , output is:

formula,solver,runtime,conflicts,entropy,solutions cbs_k3_n100_m403_b30_13.cnf,swdia5by,0.001842,318,0.202,707286

how can keep rows using list comprehension? or in other way

appreciate help

edit - added example

why don't use pandas. pretty easy in pandas

import pandas pd df1=pd.read_csv("1.csv") df=pd.read_csv("2.csv") result=df1.merge(df,on="formula") result.to_csv("result.csv")

also can use result=df1.merge(df,on="formula",how="outer") keep formula 1 of csv has other doesn't


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