BUG: Index.get_level_values() does not handle boolean, pd.NA, np.nan, or pd.NaT level correctly #62169
Description
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Reproducible Example
import pandas as pd pd.Index([], name=True).get_level_values(level=True)Issue Description
I get IndexError: Too many levels: Index has only 1 level, not 2. Also, pd.Index([], name=True).get_level_values(level=False) should raise KeyError, but it returns the whole index.
Also, name np.nan, pd.NA or pd.NaT causes KeyError: 'Requested level (nan) does not match index name (nan)'.
Expected Behavior
I should get the whole index from get_level_values(True)
Installed Versions
commit : 4665c10
python : 3.13.5
python-bits : 64
OS : Darwin
OS-release : 24.6.0
Version : Darwin Kernel Version 24.6.0: Mon Jul 14 11:30:30 PDT 2025; root:xnu-11417.140.69~1/RELEASE_ARM64_T6020
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.3.2
numpy : 2.3.2
pytz : 2025.2
dateutil : 2.9.0.post0
pip : 25.1
Cython : None
sphinx : None
IPython : 9.4.0
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 : 2025.2
qtpy : None
pyqt5 : None