使用joblib并行时有多个tqdm进度条

本文介绍了使用joblib并行时有多个tqdm进度条的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

我有一个功能:

def func(something): for j in tqdm(something): ...

由以下人员调用:

joblib.Parallel(n_jobs=4)((joblib.delayed)(s) for s in something_else)

现在，这将创建4个重叠的tqdm进度条.是否有可能获得4个独立更新的独立更新?

Now, this creates 4 overlapping tqdm progress bars. Is it possible to get 4 separate ones that update independently?

推荐答案

我被发送了此讨论，其中提供了一种更为简洁的解决方案.我编写了一个快速性能测试，以确保该锁定不会导致线程彼此阻塞.即使每毫秒更新一次柱，也不会降低性能.我建议您改用该解决方案.

I was sent this discussion by a friend in which a much cleaner solution is provided. I wrote a quick performance test to make sure that the lock does not cause the threads to block each other. There was no performance hit even when updating bars every millisecond. I recommend that you use that solution instead.

上一个答案已被删除.