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

import lux
lux.debug_info()

Additional context
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[dorisjlee]

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