How to use tqdm with pandas in a jupyter notebook?
You can use:
tqdm_notebook().pandas(*args, **kwargs)This is because tqdm_notebook has a delayer adapter, so it's necessary to instanciate it before accessing its methods (including class methods).
In the future (>v5.1), you should be able to use a more uniform API:
tqdm_pandas(tqdm_notebook, *args, **kwargs)
I found that I had to import tqdm_notebook also. A simple example is given below that works in Jupyter notebook.
Given you want to map a function on a variable to create a new variable in your pandas dataframe.
# progress barfrom tqdm import tqdm, tqdm_notebook# instantiatetqdm.pandas(tqdm_notebook)# replace map with progress_map# where df is a pandas dataframedf['new_variable'] = df['old_variable'].progress_map(some_function)