Hi guys is there any way i can produce the following using prefect

for col in date_columns:
        if col in df_columns:
            df[col] = df[col].str.replace('/', '-')
            with mp.Pool(mp.cpu_count()) as pool:
                df[col] = pool.map(get_parsed_date, df[col])

I assume you are using Prefect 1.0?

yes

So you are having trouble with running for loop and using the if-else statement in a flow?

no, im wondering how i can replicate the processing done with multiprocessing (mp) on a single dataframe for multiple columns in parallel

@Anna Geller Maybe you know this better than me

This looks more like a Pandas question more than Prefect, perhaps you may try on Stack overflow? In Prefect 1.0 you would use mapping and you wouldn't need to worry about this low level setup

ok, tried with mapping but it doesn’t give me the same performance but thank u for responding