Shulou(Shulou.com)06/03 Report--

Today, I will talk to you about how to use python multi-process optimization to display the progress bar, many people may not know much about it. In order to make you understand better, the editor has summarized the following content for you. I hope you can get something according to this article.

1. Using the imap method of multiprocessing process pool, the function acts on all elements of the iterable object in turn and is sent to multiple processes.

2. With the tqdm library, you can display the overall execution progress of the multi-process code through the progress bar.

Example

From multiprocessing import Poolfrom tqdmimport tqdmimport mathimport numpy as np def func (x): return math.sin (x) + math.cos (x) with Pool (processes = 20) as pool: result = list (tqdm (pool.imap (func, np.linspace), total=1000)) after reading the above, do you have any further understanding of how to use python multi-process optimization to display the progress bar? If you want to know more knowledge or related content, please follow the industry information channel, thank you for your support.

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