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Description
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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(optional) I have confirmed this bug exists on the master branch of pandas.
Note: Please read this guide detailing how to provide the necessary information for us to reproduce your bug.
Code Sample, a copy-pastable example
print(pd.__version__)
# 1.1.0
# Create DataFrame
data = {0: {frozenset({'Otu000010', 'Otu000505'}): 'white',
frozenset({'Otu000067', 'Otu000073'}): 'white',
frozenset({'Otu000151', 'molar'}): 'white',
frozenset({'Otu000380', 'etec_stp'}): 'white',
frozenset({'Otu000281', 'ghrp'}): 'white'},
14: {frozenset({'Otu000010', 'Otu000505'}): 'white',
frozenset({'Otu000067', 'Otu000073'}): 'white',
frozenset({'Otu000151', 'molar'}): 'white',
frozenset({'Otu000380', 'etec_stp'}): 'white',
frozenset({'Otu000281', 'ghrp'}): 'white'},
28: {frozenset({'Otu000010', 'Otu000505'}): 'red',
frozenset({'Otu000067', 'Otu000073'}): 'white',
frozenset({'Otu000151', 'molar'}): 'blue',
frozenset({'Otu000380', 'etec_stp'}): 'white',
frozenset({'Otu000281', 'ghrp'}): 'white'}}
df = pd.DataFrame(data)
# Get first item in index
id_query = df.index[0]
# Grab a column
vector = df[14]
# Index the vector using query
vector[id_query]
# ---------------------------------------------------------------------------
# KeyError Traceback (most recent call last)
# <ipython-input-145-493fc06aeb40> in <module>
# 24
# 25 # Index the vector using query
# ---> 26 vector[id_query]
# ~/anaconda3/envs/soothsayer5_env/lib/python3.8/site-packages/pandas/core/series.py in __getitem__(self, key)
# 906 return self._get_values(key)
# 907
# --> 908 return self._get_with(key)
# 909
# 910 def _get_with(self, key):
# ~/anaconda3/envs/soothsayer5_env/lib/python3.8/site-packages/pandas/core/series.py in _get_with(self, key)
# 946
# 947 # handle the dup indexing case GH#4246
# --> 948 return self.loc[key]
# 949
# 950 def _get_values_tuple(self, key):
# ~/anaconda3/envs/soothsayer5_env/lib/python3.8/site-packages/pandas/core/indexing.py in __getitem__(self, key)
# 877
# 878 maybe_callable = com.apply_if_callable(key, self.obj)
# --> 879 return self._getitem_axis(maybe_callable, axis=axis)
# 880
# 881 def _is_scalar_access(self, key: Tuple):
# ~/anaconda3/envs/soothsayer5_env/lib/python3.8/site-packages/pandas/core/indexing.py in _getitem_axis(self, key, axis)
# 1097 raise ValueError("Cannot index with multidimensional key")
# 1098
# -> 1099 return self._getitem_iterable(key, axis=axis)
# 1100
# 1101 # nested tuple slicing
# ~/anaconda3/envs/soothsayer5_env/lib/python3.8/site-packages/pandas/core/indexing.py in _getitem_iterable(self, key, axis)
# 1035
# 1036 # A collection of keys
# -> 1037 keyarr, indexer = self._get_listlike_indexer(key, axis, raise_missing=False)
# 1038 return self.obj._reindex_with_indexers(
# 1039 {axis: [keyarr, indexer]}, copy=True, allow_dups=True
# ~/anaconda3/envs/soothsayer5_env/lib/python3.8/site-packages/pandas/core/indexing.py in _get_listlike_indexer(self, key, axis, raise_missing)
# 1252 keyarr, indexer, new_indexer = ax._reindex_non_unique(keyarr)
# 1253
# -> 1254 self._validate_read_indexer(keyarr, indexer, axis, raise_missing=raise_missing)
# 1255 return keyarr, indexer
# 1256
# ~/anaconda3/envs/soothsayer5_env/lib/python3.8/site-packages/pandas/core/indexing.py in _validate_read_indexer(self, key, indexer, axis, raise_missing)
# 1296 if missing == len(indexer):
# 1297 axis_name = self.obj._get_axis_name(axis)
# -> 1298 raise KeyError(f"None of [{key}] are in the [{axis_name}]")
# 1299
# 1300 # We (temporarily) allow for some missing keys with .loc, except in
# KeyError: "None of [Index(['Otu000010', 'Otu000505'], dtype='object')] are in the [index]"Problem description
In previous versions, I was able to use frozenset objects as the elements of the index. These are great objects to have for network analysis where I use as edges in my pd.Series and pd.DataFrame
Expected Output
I should be able to index using these objects.
Output of pd.show_versions()
pandas v1.1.0