BUG: When there are too many occurrences of the minimum value in a sequence, it can prevent the minimum value from being treated as a distinct and separate group #55991
Description
Pandas version checks
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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
data = [0] * 3 + [1] * 3 + [ 2, 3, 4, 5] # 10 sample pd.qcut(data, q=5, duplicates='drop').value_counts() # (-0.001, 1.0] 6 # (1.0, 1.4] 0 # (1.4, 3.2] 2 # (3.2, 5.0] 2 # Name: count, dtype: int64Issue Description
When there are too many occurrences of the minimum value in a sequence, it can prevent the minimum value from being treated as a distinct and separate group
Expected Behavior
data = [0] * 3 + [1] * 3 + [ 2, 3, 4, 5] # 10 sample pd.qcut(data, q=5, duplicates='drop').value_counts() # (-0.001, 0] 3 # (0, 1] 3 # (1, 3] 2 # (3 5] 2 Installed Versions
INSTALLED VERSIONS
commit : 37ea63d
python : 3.8.16.final.0
python-bits : 64
OS : Linux
OS-release : 4.19.91-011.ali4000.alios7.x86_64
Version : #1 SMP Fri Jun 4 21:54:18 CST 2021
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : zh_CN.UTF-8
LANG : zh_CN.UTF-8
LOCALE : zh_CN.UTF-8
pandas : 2.0.1
numpy : 1.23.5
pytz : 2022.7
dateutil : 2.8.2
setuptools : 67.8.0
pip : 23.0.1
Cython : 3.0.0
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.3
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.12.0
pandas_datareader: None
bs4 : 4.12.2
bottleneck : None
brotli : None
fastparquet : None
fsspec : 2023.1.0
gcsfs : None
matplotlib : 3.7.1
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 12.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.9.1
snappy : None
sqlalchemy : None
tables : None
tabulate : 0.9.0
xarray : None
xlrd : None
zstandard : 0.19.0
tzdata : 2023.3
qtpy : None
pyqt5 : None