I posted a question on StackOverflow with the same info, so feel free to refer to that as well: https://stackoverflow.com/questions/66372005/showing-tqdm-progress-bar-while-using-python-multiprocessing

I am trying to run N processes using Python's multiprocessing library inside a Jupyter notebook environment, and I would like to show N progress bars using tqdm, one bar for each process. The code outlined here (https://github.com/tqdm/tqdm#nested-progress-bars) does not work out-of-the-box for me in a notebook environment -- it appears this was written for a console or script environment.

Here is some sample code I would like to have work:

from tqdm import notebook
import time
def foo2(id):
    total = 100
    with notebook.tqdm(total=total, position=id) as pbar:
        for _ in range(0, total, 5):
            pbar.update(5)
            time.sleep(0.1)

plus

%%time
from multiprocessing import Pool
pool = Pool(5)
pool.map(foo2, range(5))
pool.close()
pool.join()

This does not show the progress bars as intended. However, running the same code with a ThreadPool worker set from multiprocessing is able to show the progress bars as intended.

%%time
from multiprocessing.pool import ThreadPool
pool = ThreadPool(5)
pool.map(foo2, range(5))
pool.close()
pool.join()

Is it possible to update tqdm such that it is possible to display several multiple independent progress bars simultaneously in a notebook environment?