Created
July 14, 2020 19:57
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Pandas Parallel Appy
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| from joblib import Parallel, delayed | |
| def expesive_calc(df): | |
| df['new_col'] = ... | |
| return df | |
| def apply_parallel(gdf, func): | |
| ret_list = Parallel(n_jobs=8)(delayed(func)(group) for name, group in gdf) | |
| return pd.concat(ret_list) | |
| df = apply_parallel(df.groupby('grp'), expensive_calc) |
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