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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
import numpy as np
import pandas as pd
pd.qcut([1,2,3,4,5,-np.inf, np.inf], q=3)
Results in:ValueError: Bin edges must be unique: array([nan, 2., 4., nan]).
You can drop duplicate edges by setting the 'duplicates' kwarg
```python
import numpy as np
import pandas as pd
pd.qcut([1,2,3,4,5,-np.inf, np.inf], q=3, duplicates="drop")
Results in:
ValueError: missing values must be missing in the same location both left and right sides
### Issue Description
After upgrading from pandas 1.1.5 to the latest version 1.5.3 I am now receiving an error when the list contains `np.inf` that is given to `pd.qcut`. In the older version this was working.
Using `duplicates="drop"` also doesn't help.
### Expected Behavior
I was expecting the first and last bin to contain np.inf. This was working in pandas 1.1.5.
### Installed Versions
<details>
INSTALLED VERSIONS
------------------
commit : 2e218d10984e9919f0296931d92ea851c6a6faf5
python : 3.9.16.final.0
python-bits : 64
OS : Darwin
OS-release : 22.2.0
Version : Darwin Kernel Version 22.2.0: Fri Nov 11 02:04:44 PST 2022; root:xnu-8792.61.2~4/RELEASE_ARM64_T8103
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.UTF-8
pandas : 1.5.3
numpy : 1.23.5
pytz : 2022.7.1
dateutil : 2.8.2
setuptools : 67.0.0
pip : 22.3.1
Cython : None
pytest : 7.2.1
hypothesis : None
sphinx : 6.1.3
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : 2.9.5
jinja2 : 3.1.2
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
brotli : None
fastparquet : 2023.1.0
fsspec : 0.8.7
gcsfs : None
matplotlib : None
numba : 0.56.4
numexpr : None
odfpy : None
openpyxl : 3.0.10
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.9.3
snappy : None
sqlalchemy : 1.4.46
tables : None
tabulate : 0.8.10
xarray : None
xlrd : 1.2.0
xlwt : None
zstandard : None
tzdata : None
</details>