Error when running fundlens about empyrial HOT 3 CLOSED

Confirmed working with the new version.
Thank you very much!
And by the way, incredible work you're doing here!

from empyrial.

When I use different tickers (portfolio= ["TSLA","AMZN","FB","GOOG","AAPL"]), I get a different error:

KeyError Traceback (most recent call last)
~/anaconda3/lib/python3.8/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2897 try:
-> 2898 return self._engine.get_loc(casted_key)
2899 except KeyError as err:

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()

KeyError: 'inventory'

The above exception was the direct cause of the following exception:

KeyError Traceback (most recent call last)
in
8 )
9
---> 10 fundlens(portfolio)

~/anaconda3/lib/python3.8/site-packages/empyrial.py in fundlens(my_portfolio, period)
503
504 #inventory
--> 505 inventory = df.iloc[:,0]['inventory']
506
507 #total liabilities

~/anaconda3/lib/python3.8/site-packages/pandas/core/series.py in getitem(self, key)
880
881 elif key_is_scalar:
--> 882 return self._get_value(key)
883
884 if is_hashable(key):

~/anaconda3/lib/python3.8/site-packages/pandas/core/series.py in _get_value(self, label, takeable)
988
989 # Similar to Index.get_value, but we do not fall back to positional
--> 990 loc = self.index.get_loc(label)
991 return self.index._get_values_for_loc(self, loc, label)
992

~/anaconda3/lib/python3.8/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2898 return self._engine.get_loc(casted_key)
2899 except KeyError as err:
-> 2900 raise KeyError(key) from err
2901
2902 if tolerance is not None:

KeyError: 'inventory'

from empyrial.

Thanks for raising the issue, just fixed it in the new version =)

You can try it out here: https://colab.research.google.com/drive/1x22fJ5bnc5ZVwj05_k-cKarj9GXw5J8W?usp=sharing

If it's ok for you, we can close this issue.

from empyrial.