BUG: The indexes of DataFrame.describe(percentiles=[0.29, 0.57, 0.58]) are incorrect · Issue #46362 · pandas-dev/pandas (original) (raw)

Pandas version checks

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• I have confirmed this bug exists on the latest version of pandas.
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Reproducible Example

import pandas as pd

pd.DataFrame(data=[1, 2, 3], columns=['value']).describe(percentiles=[0.29, 0.57, 0.58])

 value

count 3.00 mean 2.00 std 1.00 min 1.00 29.0% 1.58 50% 2.00 57.0% 2.14 58.0% 2.16 max 3.00

Issue Description

The indexes ['29.0%', '57.0%', '58.0%'] should be named as ['29%', '57%', '58%'].

Expected Behavior

pd.DataFrame(data=[1, 2, 3], columns=['value']).describe(percentiles=[0.29, 0.57, 0.58]).index

# Output:
Index(['count', 'mean', 'std', 'min', '29.0%', '50%', '57.0%', '58.0%', 'max'], dtype='object')

# Expected:
Index(['count', 'mean', 'std', 'min', '29%', '50%', '57%', '58%', 'max'], dtype='object')

Installed Versions

INSTALLED VERSIONS

commit : 06d2301
python : 3.9.10.final.0
python-bits : 64
OS : Linux
OS-release : 5.13.0-30-generic
Version : #33-Ubuntu SMP Fri Feb 4 17:03:31 UTC 2022
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_IL
LOCALE : en_IL.UTF-8

pandas : 1.4.1
numpy : 1.22.2
pytz : 2021.3
dateutil : 2.8.2
pip : 22.0.3
setuptools : 59.8.0
Cython : None
pytest : None
hypothesis : None
sphinx : 4.4.0
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.8.0
html5lib : None
pymysql : None
psycopg2 : 2.9.3
jinja2 : 3.0.3
IPython : 7.32.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
fsspec : 2022.02.0
gcsfs : None
matplotlib : 3.5.1
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : 2022.02.0
scipy : 1.8.0
sqlalchemy : 1.4.31
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None