Redirect print command in python script through tqdm.write()

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

Jupyter Notebooks not displaying progress bars

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

tqdm: ‘module’ object is not callable

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

Use tqdm with concurrent.futures?

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

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