Description
Pandas version checks
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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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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
levels1 = ['b', 'a']
levels2 = pd.Index([1, 2, 3, pd.NA], dtype=pd.Int64Dtype())
index = pd.MultiIndex.from_product([levels1, levels2], names=['level1', 'level2'])
df = pd.DataFrame(dict(value=range(len(index))), index=index)
print(df)
print(df.unstack(level='level2'))
print(df.unstack(level='level2', sort=False)) value
level1 level2
b 1 0
2 1
3 2
<NA> 3
a 1 4
2 5
3 6
<NA> 7
value
level2 <NA> 1 2 3
level1
a 3 0 1 2
b 7 4 5 6
Traceback (most recent call last):
File "/home/jared/tmp/./250402-pd-test.py", line 15, in <module>
print(df.unstack(level='level2', sort=False))
~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/jared/opt/mambaforge/envs/pd-test/lib/python3.13/site-packages/pandas/core/frame.py", line 9928, in unstack
result = unstack(self, level, fill_value, sort)
File "/home/jared/opt/mambaforge/envs/pd-test/lib/python3.13/site-packages/pandas/core/reshape/reshape.py", line 504, in unstack
return _unstack_frame(obj, level, fill_value=fill_value, sort=sort)
File "/home/jared/opt/mambaforge/envs/pd-test/lib/python3.13/site-packages/pandas/core/reshape/reshape.py", line 537, in _unstack_frame
return unstacker.get_result(
~~~~~~~~~~~~~~~~~~~~^
obj._values, value_columns=obj.columns, fill_value=fill_value
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/home/jared/opt/mambaforge/envs/pd-test/lib/python3.13/site-packages/pandas/core/reshape/reshape.py", line 242, in get_result
return self.constructor(
~~~~~~~~~~~~~~~~^
values, index=index, columns=columns, dtype=values.dtype
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/home/jared/opt/mambaforge/envs/pd-test/lib/python3.13/site-packages/pandas/core/frame.py", line 827, in __init__
mgr = ndarray_to_mgr(
data,
...<4 lines>...
typ=manager,
)
File "/home/jared/opt/mambaforge/envs/pd-test/lib/python3.13/site-packages/pandas/core/internals/construction.py", line 336, in ndarray_to_mgr
_check_values_indices_shape_match(values, index, columns)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/jared/opt/mambaforge/envs/pd-test/lib/python3.13/site-packages/pandas/core/internals/construction.py", line 420, in _check_values_indices_shape_match
raise ValueError(f"Shape of passed values is {passed}, indices imply {implied}")
ValueError: Shape of passed values is (2, 4), indices imply (2, 5)
Issue Description
With a MultiIndex level of Int64Dtype() containing NA values, DataFrame.unstack() produces the expected result with sort=True (default) but causes an exception with sort=False. This does not occur if the NA value is removed from the index.
Expected Behavior
No exception, the returned DataFrame has level in the original order (['b', 'a']).
Installed Versions
INSTALLED VERSIONS
commit : 0691c5c
python : 3.13.2
python-bits : 64
OS : Linux
OS-release : 5.15.167.4-microsoft-standard-WSL2
Version : #1 SMP Tue Nov 5 00:21:55 UTC 2024
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : C.UTF-8
pandas : 2.2.3
numpy : 2.2.4
pytz : 2024.1
dateutil : 2.9.0.post0
pip : 25.0.1
Cython : None
sphinx : None
IPython : 9.0.2
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 : 2025.2
qtpy : None
pyqt5 : None