BUG: Qcut interval not selecting the correct inclusive and exclusive limits · Issue #59355 · pandas-dev/pandas (original) (raw)
Pandas version checks
- I have checked that this issue has not already been reported.
- I have confirmed this bug exists on the latest version of pandas.
- I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
pd.version '2.2.2'
cat = pd.qcut([0, 1, 2, 3], 3, precision=0)
cat [(-1.0, 1.0], (1.0, 2.0], (2.0, 3.0], (2.0, 3.0]] Categories (3, interval[float64, right]): [(-1.0, 1.0] < (1.0, 2.0] < (2.0, 3.0]]
while the expected output should be
cat
[(-1.0, 1.0], (-1.0, 1.0], (1.0, 2.0], (2.0, 3.0]]
Categories (3, interval[float64, right]): [(-1.0, 1.0] < (1.0, 2.0] < (2.0, 3.0]]
### Issue Description
The second element with value 1 should be allocated to the interval (-1.0, 1.0] instead of the erroneous allocation to the interval (1.0, 2.0]
### Expected Behavior
The expected behaviour should be
cat
[(-1.0, 1.0], (-1.0, 1.0], (1.0, 2.0], (2.0, 3.0]]
Categories (3, interval[float64, right]): [(-1.0, 1.0] < (1.0, 2.0] < (2.0, 3.0]]
### Installed Versions
<details>
INSTALLED VERSIONS
------------------
commit : d9cdd2ee5a58015ef6f4d15c7226110c9aab8140
python : 3.11.4.final.0
python-bits : 64
OS : Darwin
OS-release : 21.6.0
Version : Darwin Kernel Version 21.6.0: Wed Apr 24 06:02:02 PDT 2024; root:xnu-8020.240.18.708.4~1/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : None
LOCALE : en_GB.UTF-8
pandas : 2.2.2
numpy : 1.26.0
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : 68.2.0
pip : 23.2.1
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : None
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : 2023.9.2
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.11.3
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None
</details>