Shawn comments

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                                            Shawn

Spark pod not getting terminated after completion of spark job

I have the problem also. SynapseML Version: v0.9.5 Spark Version 3.2.0 Spark Platform on Google Cloud DataProc Likely, it appears from time to time.

logging_redirect_tqdm not respecting log level of original stream handler

This implementation is intrusive. I think the original handlers should not be updated @casperdcl

Multiprocessing and tqdm in jupyter notebooks.

Seems position is ignored now. https://github.com/tqdm/tqdm/issues/1133

TQDM auto with black font on Google Colab dark mode

![image](https://user-images.githubusercontent.com/824529/141962435-f08d3d8b-e043-4180-b550-4521f07f6db7.png) already fixed?

Support for xeus kernel

as the link above said, adding `sys.modules['IPython'].get_ipython().__class__.__name__ == 'XPythonShell'` is a bit weak. Better wait until xeus has a better self-identifier.

Progressbars always on newline

can you give a small code to reproduce this?

How to switch tqdm text mode

use different parent class due to the existence of paparmill? class TqdmStats(tqdm_auto):

Issues with Notebook + multiprocessing

indeed, tqdm may need maintain a canvas to support reordering.

pandas progress_aggregate() fails on dict

any help needed?

[Feature Request]: With statement usage for pandas functionality

``` Series.progress_apply = inner_generator() SeriesGroupBy.progress_apply = inner_generator() Series.progress_map = inner_generator('map') SeriesGroupBy.progress_map = inner_generator('map') DataFrame.progress_apply = inner_generator() DataFrameGroupBy.progress_apply = inner_generator() DataFrame.progress_applymap = inner_generator('applymap') ``` This is not feasible. As the tqdm...