tqdm is a Python module to easily print in the console a dynamically updating progressbar. For example
from tqdm import tqdm from time import sleep for _ in tqdm(range(10)): sleep(0.1)
prints a dynamic progressbar in the console for 1sec as the iteration executes:
I have not figured out how to use tqdm with the builtin zip object.
The use case of this would be to iterate over two corresponding lists with a console progressbar.
For example, I would expect this to work:
for _, _ in tqdm(zip(range(10), range(10))): sleep(0.1)
but the progressbar printed to the console in this case is not correct:
A workaround is to use tqdm with enumerate, however then an iterator index must be defined and managed.
tqdm can be used with zip if a total keyword argument is provided in the tqdm call. The issue is that tqdm needs to know the length of the iterable ahead of time. Because zip is meant to handle iterables with different lengths, it does not have as an attribute a single length of its arguments.
tqdm does not require any dependencies and works across multiple python environments. Integrating tqdm can be done effortlessly in loops, on iterable, with Pandas or even with machine learning libraries— just wrap any iterable with tqdm(iterable) , and you're done!
tqdm(range(0, 30)) does not work with multiprocessing (as formulated in the code below).
In addition, a huge benefit of using tqdm instead of a different method for showing a progress bar is that tqdm has little overhead, around 60 nanoseconds per iteration — meaning it should not affect performance much, compared to something like ProgressBar, which has an overhead of 800 nanoseconds per iteration.
tqdm
can be used with zip
if a total
keyword argument is provided in the tqdm
call.
The following example demonstrates iteration over corresponding elements in two lists with a working __tqdm__
progress bar for the case where a total
keyword argument is used:
The issue is that tqdm
needs to know the length of the iterable ahead of time. Because zip
is meant to handle iterables with different lengths, it does not have as an attribute a single length of its arguments.
So, __tqdm__
still works nicely with zip
, you just need to provide a little manual control with the total
keyword argument.
Using tqdm>=4.42.0
, you should do:
from tqdm.contrib import tzip from time import sleep for _, _ in tzip(range(10), range(10)): sleep(0.1)
Just to note in https://github.com/tqdm/tqdm#faq-and-known-issues:
- Wrapping generators:
- Generator wrapper functions tend to hide the length of iterables.
tqdm
does not.- Replace
tqdm(enumerate(...))
withenumerate(tqdm(...))
ortqdm(enumerate(x), total=len(x), ...)
. The same applies tonumpy.ndenumerate
.- Replace
tqdm(zip(a, b))
withzip(tqdm(a), b)
or evenzip(tqdm(a), tqdm(b))
.- The same applies to
itertools
.- Some useful convenience functions can be found under
tqdm.contrib
.
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