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Description
Pandas version checks
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
pd.crosstab(
index=["index1","index2"],
columns= ["one", "one"],
values=[12,10],
normalize=1,
margins=True,
dropna=True,
aggfunc='skew'
)Issue Description
The example above gives me the error IndexError: single positional indexer is out-of-bounds.
I don't get this error with aggfunc="sum".
I wonder whether this issue is related to #60767, where crosstab drops some NaN results.
stack trace
IndexError Traceback (most recent call last)
Cell In[2], line 3
1 import pandas as pd
----> 3 pd.crosstab(
4 index=["index1","index2"],
5 columns= ["one", "one"],
6 values=[12,10],
7 normalize=1,
8 margins=True,
9 dropna=True,
10 aggfunc='skew'
11 )
File ~/miniconda3/envs/snowpark-python-dev/lib/python3.9/site-packages/pandas/core/reshape/pivot.py:741, in crosstab(index, columns, values, rownames, colnames, aggfunc, margins, margins_name, dropna, normalize)
739 # Post-process
740 if normalize is not False:
--> 741 table = _normalize(
742 table, normalize=normalize, margins=margins, margins_name=margins_name
743 )
745 table = table.rename_axis(index=rownames_mapper, axis=0)
746 table = table.rename_axis(columns=colnames_mapper, axis=1)
File ~/miniconda3/envs/snowpark-python-dev/lib/python3.9/site-packages/pandas/core/reshape/pivot.py:783, in _normalize(table, normalize, margins, margins_name)
781 table_index = table.index
782 table_columns = table.columns
--> 783 last_ind_or_col = table.iloc[-1, :].name
785 # check if margin name is not in (for MI cases) and not equal to last
786 # index/column and save the column and index margin
787 if (margins_name not in last_ind_or_col) & (margins_name != last_ind_or_col):
File ~/miniconda3/envs/snowpark-python-dev/lib/python3.9/site-packages/pandas/core/indexing.py:1184, in _LocationIndexer.__getitem__(self, key)
1182 if self._is_scalar_access(key):
1183 return self.obj._get_value(*key, takeable=self._takeable)
-> 1184 return self._getitem_tuple(key)
1185 else:
1186 # we by definition only have the 0th axis
1187 axis = self.axis or 0
File ~/miniconda3/envs/snowpark-python-dev/lib/python3.9/site-packages/pandas/core/indexing.py:1690, in _iLocIndexer._getitem_tuple(self, tup)
1689 def _getitem_tuple(self, tup: tuple):
-> 1690 tup = self._validate_tuple_indexer(tup)
1691 with suppress(IndexingError):
1692 return self._getitem_lowerdim(tup)
File ~/miniconda3/envs/snowpark-python-dev/lib/python3.9/site-packages/pandas/core/indexing.py:966, in _LocationIndexer._validate_tuple_indexer(self, key)
964 for i, k in enumerate(key):
965 try:
--> 966 self._validate_key(k, i)
967 except ValueError as err:
968 raise ValueError(
969 "Location based indexing can only have "
970 f"[{self._valid_types}] types"
971 ) from err
File ~/miniconda3/envs/snowpark-python-dev/lib/python3.9/site-packages/pandas/core/indexing.py:1592, in _iLocIndexer._validate_key(self, key, axis)
1590 return
1591 elif is_integer(key):
-> 1592 self._validate_integer(key, axis)
1593 elif isinstance(key, tuple):
1594 # a tuple should already have been caught by this point
1595 # so don't treat a tuple as a valid indexer
1596 raise IndexingError("Too many indexers")
File ~/miniconda3/envs/snowpark-python-dev/lib/python3.9/site-packages/pandas/core/indexing.py:1685, in _iLocIndexer._validate_integer(self, key, axis)
1683 len_axis = len(self.obj._get_axis(axis))
1684 if key >= len_axis or key < -len_axis:
-> 1685 raise IndexError("single positional indexer is out-of-bounds")Expected Behavior
I should get the skew results.
Installed Versions
INSTALLED VERSIONS
------------------
commit : 0691c5cf90477d3503834d983f69350f250a6ff7
python : 3.9.21
python-bits : 64
OS : Darwin
OS-release : 24.2.0
Version : Darwin Kernel Version 24.2.0: Fri Dec 6 18:56:34 PST 2024; root:xnu-11215.61.5~2/RELEASE_ARM64_T6020
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.2.3
numpy : 2.0.2
pytz : 2024.2
dateutil : 2.8.2
pip : 24.2
Cython : None
sphinx : None
IPython : 8.12.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
blosc : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : None
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : None
lxml.etree : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : None
pyreadstat : None
pytest : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2025.1
qtpy : None
pyqt5 : None