tqdm.github.io | A fast , extensible progress bar for Python and CLI | Frontend Framework library
kandi X-RAY | tqdm.github.io Summary
kandi X-RAY | tqdm.github.io Summary
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QUESTION
I'm using tqdm for showing a progress bar while something is loading. While some steps are quite fast, others can take several seconds or even minutes. What I'm experiencing is that the estimated remaining time is also jumping between minutes (if a few quick steps occurred) and hours (after a few slow steps). The truth that I would like to show to the user is somewhere in-between.
I'm wondering if tqdm has an option to tell that the remaining time should be computed as a global average? Say if it took 10 minutes for 100 out of 400 steps (regardless if the last couple of steps were fast or slow), that the estimated remaining time is simply 40 minutes?
Is smoothing=0
the parameter to set in these cases? The documentation is a bit confusing, as it states
smoothing: float, optional
Exponential moving average smoothing factor for speed estimates (ignored in GUI mode). Ranges from 0 (average speed) to 1 (current/instantaneous speed) [default: 0.3].
Is that just the "speed"? And does the estimated remaining time change accordingly?
...ANSWER
Answered 2021-Nov-01 at 14:21I've tested the following code and smoothing=0
is indeed the parameter to go.
Consider the following snippet and watch how the progress bar is more helpful with smoothing=0
when updates are highly irregular:
QUESTION
I'm using tqdm
to display a progress bar for my code. Sometimes I use the code in the terminal and sometimes I use the code in a Jupyter Notebook.
Unless I'm mistaken (probably am or I wouldn't be writing this question), tqdm
is supposed to automatically determine if I'm in the Jupyter Notebook or in the terminal by using this code:
ANSWER
Answered 2021-May-28 at 21:58If you are editing the notebook in the JupyterLab, you should install jupyterlab_widgets
.
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