pandas parallelize for loop
import multiprocessing as mp
pool = mp.Pool(processes=mp.cpu_count())
def func( arg ):
idx,row = arg
# Edit df
return row
new_rows = pool.map( func, [(idx,row) for idx,row in data_all.iterrows()])
data_all_new = pd.concat( new_rows )Copyright © 2021 Codeinu
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