You can use manual control in tqdm by specifying a total argument in the constructor. Verbatim from the manual: with tqdm(total=100) as pbar: for i in range(10): sleep(0.1) pbar.update(10) UPDATE To manually control the tqdm without the context manager (aka with statement), you will need to close the progress bar after you are done using … Read more
Try with position=0 and leave=True (Solution working in Google Colab to avoid printing to a newline) from tqdm import tqdm import time def foo_(): time.sleep(0.3) range_ = range(0, 10) total = len(range_) with tqdm(total=total, position=0, leave=True) as pbar: for i in tqdm((foo_, range_ ), position=0, leave=True): pbar.update()
The example shown in Usage of tqdm works well for me. pbar = tqdm([“a”, “b”, “c”, “d”]) for char in pbar: pbar.set_description(“Processing %s” % char) Or alternatively, starting Python 3.8 which supports the walrus operator :=: for char in (pbar := tqdm([“a”, “b”, “c”, “d”])): pbar.set_description(f”Processing {char}”)
Use imap instead of map, which returns an iterator of the processed values. from multiprocessing import Pool import tqdm import time def _foo(my_number): square = my_number * my_number time.sleep(1) return square if __name__ == ‘__main__’: with Pool(2) as p: r = list(tqdm.tqdm(p.imap(_foo, range(30)), total=30))
Try using tqdm.notebook.tqdm instead of tqdm, as outlined here. This could be as simple as changing your import to: from tqdm.notebook import tqdm Good luck! EDIT: After testing, it seems that tqdm actually works fine in ‘text mode’ in Jupyter notebook. It’s hard to tell because you haven’t provided a minimal example, but it looks … Read more