process rows of dataframe in parallel
def parallelize_dataframe(df, func, n_cores=4):
df_split = np.array_split(df, n_cores)
pool = Pool(n_cores)
df = pd.concat(pool.map(func, df_split))
pool.close()
pool.join()
return dfprocess rows of dataframe in parallel
def parallelize_dataframe(df, func, n_cores=4):
df_split = np.array_split(df, n_cores)
pool = Pool(n_cores)
df = pd.concat(pool.map(func, df_split))
pool.close()
pool.join()
return dfCopyright © 2021 Codeinu
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