Don't really understand is it a mistake or just my local problem, still have some issues with using tqdm progress bars with progress_apply in Jupyter.
First try:
from tqdm import tqdm tqdm_notebook.pandas(desc="Example Desc") keywords_df['keyword'] = keywords_df['keywird'].progress_apply(lambda x: x.replace('*',''))
Output (without any bars):
AttributeError: 'function' object has no attribute 'pandas'
Second try:
from tqdm import tqdm tqdm_notebook().pandas(desc="Example Desc") keywords_df['keyword'] = keywords_df['keywird'].progress_apply(lambda x: x.replace('*',''))
Output: Two bars (need one). First bar is empty (0it [00:00, ?it/s]), second is OK.
Any ideas how to change progress_apply description and display bar without empty initialization bar? :)
P.S. Documentation (https://github.com/tqdm/tqdm) says I can just use tqdm_notebook, but it's not working for me :)
# Register `pandas.progress_apply` and `pandas.Series.map_apply` with `tqdm` # (can use `tqdm_gui`, `tqdm_notebook`, optional kwargs, etc.) tqdm.pandas(desc="my bar!")
tqdm works on any platform (Linux, Windows, Mac, FreeBSD, NetBSD, Solaris/SunOS), in any console or in a GUI, and is also friendly with IPython/Jupyter notebooks.
You just need to wrap tqdm on any iterable - tqdm(iterable). tqdm can help you create progress bars for data processing, training machine learning models, multi-loop Python function, and downloading data from the internet. Install the package using pip: pip install tqdm.
The progress_apply() method is part of the originally created tqdm package which enables you to create a progress meter and estimate “Time To Completion” for your iterations.
Now you can just do:
from tqdm.notebook import tqdm tqdm.pandas() df.progress_apply(...)
My version of tqdm is 4.39.0
Answer from tqdm developer:
notebook support is still in a (late) beta stage. The API might change slightly when we release tqdm v5 but for now you probably need
from tqdm._tqdm_notebook import tqdm_notebook tqdm_notebook.pandas(...
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