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| import pandas | |
| import multiprocessing | |
| def apply_parallel(grouped_df, func): | |
| with multiprocessing.Pool(multiprocessing.cpu_count()) as p: | |
| ret_list = p.map(func, [group for name, group in grouped_df]) | |
| return pandas.concat(ret_list) |
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