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 master branch of pandas.
Reproducible Example
pytest pandas
Issue Description
Running the pytest
command fails with an import error
ImportError while loading conftest '/workspaces/pandas/pandas/conftest.py'.
pandas/conftest.py:537: in <module>
"mi-with-dt64tz-level": _create_mi_with_dt64tz_level(),
pandas/conftest.py:505: in _create_mi_with_dt64tz_level
return MultiIndex.from_product(
pandas/core/indexes/multi.py:619: in from_product
codes, levels = factorize_from_iterables(iterables)
pandas/core/arrays/categorical.py:2862: in factorize_from_iterables
codes, categories = zip(*(factorize_from_iterable(it) for it in iterables))
pandas/core/arrays/categorical.py:2862: in <genexpr>
codes, categories = zip(*(factorize_from_iterable(it) for it in iterables))
pandas/core/arrays/categorical.py:2835: in factorize_from_iterable
cat = Categorical(values, ordered=False)
pandas/core/arrays/categorical.py:440: in __init__
codes, categories = factorize(values, sort=False)
pandas/core/algorithms.py:746: in factorize
codes, uniques = values.factorize(sort=sort)
pandas/core/arrays/datetimelike.py:1830: in factorize
uniques = self.copy() # TODO: copy or view?
pandas/core/arrays/datetimelike.py:512: in copy
new_obj = super().copy(order=order) # type: ignore[call-arg]
E TypeError: copy() takes no keyword arguments
I'm running on pandas' VSCode dev container.
Expected Behavior
Should not fail, but run the tests instead.
Installed Versions
INSTALLED VERSIONS ------------------ commit : c323494e7313b9ac105e59d0748cd3ac53adf89d python : 3.8.12.final.0 python-bits : 64 OS : Linux OS-release : 5.10.76-linuxkit Version : #1 SMP Mon Nov 8 10:21:19 UTC 2021 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : C.UTF-8 LANG : C.UTF-8 LOCALE : en_US.UTF-8
pandas : 1.4.0.dev0+1469.gc323494e73
numpy : 1.21.4
pytz : 2021.3
dateutil : 2.8.2
pip : 21.3.1
setuptools : 59.6.0
Cython : 0.29.26
pytest : 6.2.5
hypothesis : 6.31.6
sphinx : 4.3.2
blosc : None
feather : None
xlsxwriter : 3.0.2
lxml.etree : 4.7.1
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.0.3
IPython : 7.30.1
pandas_datareader: None
bs4 : 4.10.0
bottleneck : 1.3.2
fsspec : 2021.11.0
fastparquet : 0.7.2
gcsfs : 2021.11.0
matplotlib : 3.5.1
numexpr : 2.8.0
odfpy : None
openpyxl : 3.0.9
pandas_gbq : None
pyarrow : 6.0.1
pyxlsb : None
s3fs : 2021.11.0
scipy : 1.7.3
sqlalchemy : 1.4.28
tables : 3.6.1
tabulate : 0.8.9
xarray : 0.18.2
xlrd : 2.0.1
xlwt : 1.3.0
numba : 0.53.1
zstandard : None