Questions tagged [tqdm]
Questions related to progress bar tqdm usage in Python or shell.
tqdm
598
questions
0
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1
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81
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Creating a progress bar in python with Numba and Cuda
I'm running a parallel process using numba and CUDA (on windows) that will take quite a while. It would be nice to have an updating progress bar printed in the console, so I can see how far through ...
1
vote
2
answers
48
views
How to create a progress bar and then output information in each loop, using the tdqm library
The example codes:
from tqdm import tqdm
if __name__=='__main__':
num_epochs = 5
for epoch in range(num_epochs):
with tqdm(total=500) as pbar:
for i in range(500):
...
0
votes
0
answers
17
views
Run Ultralytics with limited TQDM output
I use nohup statement to redirect to train.log file and disown to disconnect the process from the terminal. However, the built-in TQDM of Ultralytics will occupy a large amount of output, resulting in ...
0
votes
0
answers
79
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Nested tqdm loading bars not working in VSCode interactive window
Having two nested loading bars does not work for me in the interactive Python window in VSCode.
The following code
from time import sleep
from tqdm import tqdm
for i in tqdm(range(100)):
for j in ...
1
vote
1
answer
252
views
sentence-transformers progress bar can't disable
We're using sentence transformers to batch encode large text
model = SentenceTransformer('/app/resources/all-MiniLM-L6-v2')
embeddings = []
for obj in data:
text = obj['text']
row = {'id': ...
1
vote
2
answers
80
views
How to properly use tqdm progress bars in bash scripts that output messages
I am wondering how to use tqdm with a script that also prints other messages besides the ones dedicated to monitor progression.
For example, suppose a loop like this, where three messages are written ...
0
votes
0
answers
35
views
TQDM: Track loop inside ProcessPoolExecutor job
I have some number of jobs that have been submitted to a ProcessPoolExecutor. I want to track the progress of each job with tqdm. However, when I run the code below, the progress bars constantly swap ...
0
votes
1
answer
117
views
tqdm progress bar not updating when used with apply_async
I have a huge pandas dataframe and I want to do an operation on each row, so I wanted to use multiprocessing to accelerate the operation. Since tqdm is not pickleable, I decided to use a shared ...
0
votes
0
answers
46
views
tqdm to track progress on chain of operations on a pandas dataframe
Is there a way to use tqdm to track progress on a long chain of processes applied to a pandas DataFrame? Here's what my code looks like:
dataframe = (
dataframe
.drop_duplicates()
.dropna()
...
1
vote
1
answer
41
views
Integrating tdqm with cx.Oracle query
I am running an SQL Oracle query through Python with cx.Oracle. However, the execution time is very long and I would like to have some progress bar (either with a live counter or a visual progress bar)...
1
vote
0
answers
31
views
Minimizing VSCode window on local machine slows down Python code with tqdm on remote server by 10x
I am using VSCode SSH remote connection to execute Python code on a server from my local computer. In the code, there is a loop that utilizes the tqdm library.
pbar = tqdm.tqdm(enumerate(test_corpus), ...
0
votes
1
answer
82
views
How to change tqdm.notebook progress bar style?
I am using tqdm in a notebook (run within VS Code).
I am importing tqdm with
from tqdm.notebook import tqdm
The bar Looks like this
But I'd like to have a normal progress bar made with ASCII ...
0
votes
2
answers
215
views
How to keep tqdm progress bar on the bottom of the terminal?
Here is the code
def download_from_dict(path_link_dict, folder)
counter = 0
for path, link, name in tqdm(path_link_dict):
counter = counter + 1
if os.path.isfile(folder + path ...
1
vote
1
answer
23
views
tqdm for loop indicator does not work on for loop using "product"
I want to use tqdm on a for loop that might be a bit weird and it doesn't work.
Here is the for loop in question:
for (Lm1, La1), (Lm2, La2) in tqdm(product(product(Lm_values, La_values), product(...
1
vote
1
answer
210
views
Unexpected printouts interfere with tqdm progress bar in PyTorch training run
I am trying to understand how the progress bar using tqdm works exactly. I have some code that looks as follows:
import torch
import torchvision
print(f"torch version: {torch.__version__}")
...