I want to reproduce the experiment, but I encountered the following error when I run the produce_results.py:
2023-05-02 15:55:47.370703: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
Traceback (most recent call last):
File "produce_results.py", line 83, in <module>
main(args)
File "produce_results.py", line 59, in main
use_ci=args.use_ci,
File "C:\Users\admin\Desktop\continualworld\results_processing\plots.py", line 421, in visualize_sequence
output_file=output_file,
File "C:\Users\admin\Desktop\continualworld\results_processing\plots.py", line 314, in plot_all_methods
plot_fn(data, axes[0], "all methods", smoothen=smoothen)
File "C:\Users\admin\Desktop\continualworld\results_processing\plots.py", line 156, in plot_current
**lineplot_kwargs,
File "C:\Users\admin\anaconda3\lib\site-packages\seaborn\_decorators.py", line 46, in inner_f
return f(**kwargs)
File "C:\Users\admin\anaconda3\lib\site-packages\seaborn\relational.py", line 710, in lineplot
p.plot(ax, kwargs)
File "C:\Users\admin\anaconda3\lib\site-packages\seaborn\relational.py", line 471, in plot
for sub_vars, sub_data in self.iter_data(grouping_vars, from_comp_data=True):
File "C:\Users\admin\anaconda3\lib\site-packages\seaborn\_core.py", line 983, in iter_data
data = self.comp_data
File "C:\Users\admin\anaconda3\lib\site-packages\seaborn\_core.py", line 1057, in comp_data
comp_col.loc[orig.index] = pd.to_numeric(axis.convert_units(orig))
File "C:\Users\admin\anaconda3\lib\site-packages\pandas\core\indexing.py", line 723, in __setitem__
iloc._setitem_with_indexer(indexer, value, self.name)
File "C:\Users\admin\anaconda3\lib\site-packages\pandas\core\indexing.py", line 1732, in _setitem_with_indexer
self._setitem_single_block(indexer, value, name)
File "C:\Users\admin\anaconda3\lib\site-packages\pandas\core\indexing.py", line 1959, in _setitem_single_block
value = self._align_series(indexer, Series(value))
File "C:\Users\admin\anaconda3\lib\site-packages\pandas\core\indexing.py", line 2096, in _align_series
ser = ser.reindex(obj.axes[0][indexer[0]], copy=True)._values
File "C:\Users\admin\anaconda3\lib\site-packages\pandas\core\series.py", line 4580, in reindex
return super().reindex(index=index, **kwargs)
File "C:\Users\admin\anaconda3\lib\site-packages\pandas\core\generic.py", line 4819, in reindex
axes, level, limit, tolerance, method, fill_value, copy
File "C:\Users\admin\anaconda3\lib\site-packages\pandas\core\generic.py", line 4843, in _reindex_axes
allow_dups=False,
File "C:\Users\admin\anaconda3\lib\site-packages\pandas\core\generic.py", line 4889, in _reindex_with_indexers
copy=copy,
File "C:\Users\admin\anaconda3\lib\site-packages\pandas\core\internals\managers.py", line 670, in reindex_indexer
self.axes[axis]._validate_can_reindex(indexer)
File "C:\Users\admin\anaconda3\lib\site-packages\pandas\core\indexes\base.py", line 3785, in _validate_can_reindex
raise ValueError("cannot reindex from a duplicate axis")
ValueError: cannot reindex from a duplicate axis
It seems like a mistake in using seaborn, but I can't find where the problem is. Can someone help me please?
I want to reproduce the experiment, but I encountered the following error when I run the produce_results.py:
It seems like a mistake in using seaborn, but I can't find where the problem is. Can someone help me please?