[BUG]

[belkmouf]

Describe the bug C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\formatters.py:918: UserWarning: Unexpected error in rendering Lux widget and recommendations. Falling back to Pandas display. Please report the following issue on Github: https://github.com/lux-org/lux/issues C:\ProgramData\Anaconda3\lib\site-packages\lux\core\frame.py:632: UserWarning:Traceback (most recent call last): File "C:\ProgramData\Anaconda3\lib\site-packages\lux\core\frame.py", line 594, in ipython_display self.maintain_recs() File "C:\ProgramData\Anaconda3\lib\site-packages\lux\core\frame.py", line 436, in maintain_recs custom_action_collection = custom_actions(rec_df) File "C:\ProgramData\Anaconda3\lib\site-packages\lux\action\custom.py", line 74, in custom_actions recommendation = lux.config.actions[action_name].action(ldf, args) File "C:\ProgramData\Anaconda3\lib\site-packages\lux\action\univariate.py", line 95, in univariate vlist = VisList(intent, ldf) File "C:\ProgramData\Anaconda3\lib\site-packages\lux\vis\VisList.py", line 43, in init self.refresh_source(self._source) File "C:\ProgramData\Anaconda3\lib\site-packages\lux\vis\VisList.py", line 336, in refresh_source lux.config.executor.execute(self._collection, ldf, approx=approx) File "C:\ProgramData\Anaconda3\lib\site-packages\lux\executor\PandasExecutor.py", line 138, in execute PandasExecutor.execute_aggregate(vis, isFiltered=filter_executed) File "C:\ProgramData\Anaconda3\lib\site-packages\lux\executor\PandasExecutor.py", line 211, in execute_aggregate vis._vis_data = (vis.data.groupby(groupby_attr.attribute, dropna=False, history=False).count().reset_index().rename(columns={index_name: "Record"})) File "C:\ProgramData\Anaconda3\lib\site-packages\lux\core\frame.py", line 867, in groupby groupby_obj = super(LuxDataFrame, self).groupby(*args, **kwargs) TypeError: groupby() got an unexpected keyword argument 'dropna' To Reproduce Please describe the steps needed to reproduce the behavior. For example:

1. Using this data: df = ...
2. Go to '...'
3. Click on '....'
4. Scroll down to '....'
5. See error

Important: Make sure to provide a sample of (preferably synthetic) data that can trigger the error based on the instructions.

Expected behavior A clear and concise description of what you expected to happen.

Screenshots If applicable, add screenshots to help explain your problem.

Debugging information Please run the following code in your Jupyter Notebook/Lab:

import lux
lux.debug_info()

Additional context Add any other context about the problem here.

[dorisjlee]

Hi @belkmouf, Could you provide more information about what led to this error?