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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
mi = pd.MultiIndex.from_tuples([('a', 'b', )]) mi.reindex(mi.to_frame().values) # Works mi = pd.MultiIndex.from_tuples([(1, 2, )]) mi.reindex(mi.to_frame().values) # Fails with ValueError: Index data must be 1-dimensional.
Issue Description
Passing a list[tuple] to pd.MultiIndex.reindex always works. However, passing a list[list] fails when the levels are all pd.Int64Index, but seems to work otherwise. After calling .values, one typically ends up with a list[list]. It would be useful to have .reindex not fail.
Expected Behavior
Either fail for list[list] or accept both list[list] and list[tuple] with the same behavior. Since pd.DataFrame.values typically gives you list[list], it would be nice to support it so that both examples above work.
Installed Versions
INSTALLED VERSIONS
commit : 4bfe3d0
python : 3.9.10.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19043
machine : AMD64
processor : Intel64 Family 6 Model 158 Stepping 10, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United Kingdom.1252
pandas : 1.4.2
numpy : 1.22.2
pytz : 2021.3
dateutil : 2.8.2
pip : 22.0.3
setuptools : 60.9.3
Cython : None
pytest : 7.0.1
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.0.3
IPython : 8.1.1
pandas_datareader: None
bs4 : None
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
markupsafe : 2.1.0
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None