[BUG] New pandas versions seem to break Vis aggregation

[WillSealy]

Describe the Bug
The merge call in the execute_aggregate function (lux -> executor -> PandasExecutor -> line 237) fails on pandas versions >1.4.4, which forces Lux to revert to pandas display and stops the widget from rendering. Guessing this has something to do with pandas 1.5.x changes to the groupby function.

To Reproduce

import pandas as pd
import lux
df = pd.read_csv("https://github.com/lux-org/lux-datasets/blob/master/data/car.csv?raw=true")
df.intent = ['Brand', 'Origin']
df

Line that fails: vis._vis_data = vis.data.merge(df,on=[columns[0], columns[1]],how="right",suffixes=["", "_right"],)

Screenshots

Debugging information

Package Versions

           Version      
    python        3.8.13
       lux         0.5.1
    pandas         1.5.0
 luxwidget        0.1.11
matplotlib         3.5.3
    altair         4.2.0
   IPython         8.5.0
 ipykernel        6.15.2
ipywidgets         8.0.2

jupyter_client 7.3.5
jupyter_core 4.11.1
jupyter_server not installed
jupyterlab not installed
nbclient not installed
nbconvert 5.4.1
nbformat 5.5.0
notebook 6.4.12
qtconsole 5.3.2
traitlets 5.4.0

Widget Setup

✅ Jupyter Notebook Running
✅ luxwidget is enabled

[fredthedead]

Getting the same error

[jona-sassenhagen]

Here is a minimally reproducible example:

import pandas as pd
import lux
pd.Series(range(100)).astype(str)