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[BUG] IndexError: index 0 is out of bounds for axis 0 with size 0
%matplotlib inline from IPython.display import display import numpy as np
import pandas as pd import lux
autos = pd.read_csv('http://github.com/mattharrison/datasets/raw/master/data/vehicles.csv.zip') autos.intent = ['combinedUF','cityUF'] autos
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/home/max/anaconda3/lib/python3.9/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
/home/max/anaconda3/lib/python3.9/site-packages/lux/core/frame.py:632: UserWarning:Traceback (most recent call last):
File "/home/max/anaconda3/lib/python3.9/site-packages/lux/core/frame.py", line 594, in ipython_display
self.maintain_recs()
File "/home/max/anaconda3/lib/python3.9/site-packages/lux/core/frame.py", line 436, in maintain_recs
custom_action_collection = custom_actions(rec_df)
File "/home/max/anaconda3/lib/python3.9/site-packages/lux/action/custom.py", line 76, in custom_actions
recommendation = lux.config.actions[action_name].action(ldf)
File "/home/max/anaconda3/lib/python3.9/site-packages/lux/action/enhance.py", line 65, in enhance
vlist = lux.vis.VisList.VisList(intent, ldf)
File "/home/max/anaconda3/lib/python3.9/site-packages/lux/vis/VisList.py", line 43, in init
self.refresh_source(self._source)
File "/home/max/anaconda3/lib/python3.9/site-packages/lux/vis/VisList.py", line 336, in refresh_source
lux.config.executor.execute(self._collection, ldf, approx=approx)
File "/home/max/anaconda3/lib/python3.9/site-packages/lux/executor/PandasExecutor.py", line 147, in execute
PandasExecutor.execute_2D_binning(vis)
File "/home/max/anaconda3/lib/python3.9/site-packages/lux/executor/PandasExecutor.py", line 422, in execute_2D_binning
result = groups.agg(
File "/home/max/anaconda3/lib/python3.9/site-packages/lux/core/groupby.py", line 32, in aggregate
ret_val = super(LuxGroupBy, self).aggregate(*args, **kwargs)
File "/home/max/anaconda3/lib/python3.9/site-packages/pandas/core/groupby/generic.py", line 271, in aggregate
ret = self._aggregate_multiple_funcs(func)
File "/home/max/anaconda3/lib/python3.9/site-packages/pandas/core/groupby/generic.py", line 326, in _aggregate_multiple_funcs
results[key] = self.aggregate(func)
File "/home/max/anaconda3/lib/python3.9/site-packages/lux/core/groupby.py", line 32, in aggregate
ret_val = super(LuxGroupBy, self).aggregate(*args, **kwargs)
File "/home/max/anaconda3/lib/python3.9/site-packages/pandas/core/groupby/generic.py", line 284, in aggregate
return self._python_agg_general(func, *args, **kwargs)
File "/home/max/anaconda3/lib/python3.9/site-packages/pandas/core/groupby/groupby.py", line 1481, in _python_agg_general
result = self.grouper.agg_series(obj, f)
File "/home/max/anaconda3/lib/python3.9/site-packages/pandas/core/groupby/ops.py", line 981, in agg_series
result = self._aggregate_series_pure_python(obj, func)
File "/home/max/anaconda3/lib/python3.9/site-packages/pandas/core/groupby/ops.py", line 1005, in _aggregate_series_pure_python
res = func(group)
File "/home/max/anaconda3/lib/python3.9/site-packages/pandas/core/groupby/groupby.py", line 1467, in
Package Versions
Version
python 3.9.7
lux 0.5.1
pandas 1.4.2
luxwidget 0.1.11
matplotlib 3.4.3
altair 4.2.0
IPython 7.29.0
ipykernel 6.4.1
ipywidgets 7.6.5
jupyter_client 6.1.12 jupyter_core 4.8.1 jupyter_server 1.4.1 jupyterlab 3.2.1 nbclient 0.5.3 nbconvert 6.1.0 nbformat 5.1.3 notebook 6.4.5 qtconsole 5.1.1 traitlets 5.1.0
Widget Setup
✅ Jupyter Notebook Running ✅ luxwidget is enabled