Redirecting sys.stdout is always tricky, and it becomes a nightmare when two applications are twiddling with it at the same time. Here the trick is that tqdm by default prints to sys.stderr, not sys.stdout. Normally, tqdm has an anti-mixup strategy for these two special channels, but since you are redirecting sys.stdout, tqdm gets confused because … Read more
The answer is in this GitHub issue. The key is to ensure that you have the ipywidgets notebook extension enabled using the following command: jupyter nbextension enable –py widgetsnbextension For the old JupyterLab 2.0 you’ll also need to install the JupyterLab extension: jupyter labextension install @jupyter-widgets/jupyterlab-manager For the old JupyterLab 2.0 installing the JupyterLab extension … Read more
You need to install tqdm module, you can do it by using python pip. pip install tqdm for more info tqdm
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 … Read more
The error is telling you are trying to call the module. You can’t do this. To call you just have to do tqdm.tqdm(dirs, desc=”dirs”) to solve your problem. Or simply change your import to from tqdm import tqdm But, the important thing here is to review the documentation for what you are using and ensure … Read more
You’re on the right track. You’re using tqdm correctly, but stop short of printing each line inside the loop when using tqdm. You’ll also want to use tqdm on your first for loop and not on others, like so: with open(file_path, ‘r’) as f: for i, line in enumerate(tqdm(f)): if i >= start and i … Read more
Example using the ‘disable’ parameter: from tqdm import tqdm import time for i in tqdm(range(10), disable=True): time.sleep(1)
This worked for me. conda install -c conda-forge ipywidgets jupyter nbextension enable –py widgetsnbextension Restarting jupyter notebook afterwards worked. Solution originally from here.
You can pass the length to the argument total to make it work. Example: from tqdm import tqdm length = 1000000 generator = (3 * n for n in range(length)) # just doing something random for n in tqdm(generator, total=length): pass
You can wrap tqdm around the executor as the following to track the progress: list(tqdm(executor.map(f, iter), total=len(iter)) Here is your example: import time import concurrent.futures from tqdm import tqdm def f(x): time.sleep(0.001) # to visualize the progress return x**2 def run(f, my_iter): with concurrent.futures.ThreadPoolExecutor() as executor: results = list(tqdm(executor.map(f, my_iter), total=len(my_iter))) return results my_iter = … Read more