- 
          
- 
        Couldn't load subscription status. 
- Fork 1.4k
Closed
Labels
duplicate 🗐Seen it beforeSeen it beforeinvalid ⛔Not-an-issue or upstream (not-our-issue)Not-an-issue or upstream (not-our-issue)
Description
Used a virtualenv and pip to install tqdm.
Code
from time import sleep
from tqdm import tqdm
for i in tqdm(range(1000)):
    sleep(0.01)Output
  0%|                                                                                                                            | 0/1000 [00:00<?, ?it/s]
  1%|█▏                                                                                                                 | 10/1000 [00:00<00:09, 99.99it/s]
  2%|██▎                                                                                                                | 20/1000 [00:00<00:09, 99.99it/s]
  3%|███▍                                                                                                               | 30/1000 [00:00<00:09, 99.99it/s]
  4%|████▌                                                                                                              | 40/1000 [00:00<00:09, 99.99it/s]
  5%|█████▊                                                                                                             | 50/1000 [00:00<00:09, 99.99it/s]
  6%|██████▉                                                                                                            | 60/1000 [00:00<00:09, 99.99it/s]
  7%|████████                                                                                                           | 70/1000 [00:00<00:09, 99.99it/s]
  8%|█████████▏                                                                                                         | 80/1000 [00:00<00:09, 99.99it/s]
  9%|██████████▎                                                                                                        | 90/1000 [00:00<00:09, 99.99it/s] 10%|███████████▍                                                                                                      | 100/1000 [00:01<00:09, 99.99it/s] 11%|████████████▌                                                                                                     | 110/1000 [00:01<00:08, 99.99it/s] 12%|█████████████▋                                                                                                    | 120/1000 [00:01<00:08, 99.99it/s] 13%|██████████████▊                                                                                                   | 130/1000 [00:01<00:08, 99.99it/s] 14%|███████████████▉                                                                                                  | 140/1000 [00:01<00:08, 99.99it/s] 15%|█████████████████                                                                                                 | 150/1000 [00:01<00:08, 99.99it/s] 16%|██████████████████▏                                                                                               | 160/1000 [00:01<00:08, 99.99it/s] 17%|███████████████████▍                                                                                              | 170/1000 [00:01<00:08, 99.99it/s] 18%|████████████████████▌                                                                                             | 180/1000 [00:01<00:08, 99.99it/s] 19%|█████████████████████▋Metadata
Metadata
Assignees
Labels
duplicate 🗐Seen it beforeSeen it beforeinvalid ⛔Not-an-issue or upstream (not-our-issue)Not-an-issue or upstream (not-our-issue)