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 pandas as pd
import numpy as np
data = {
'Name': ['Alice', 'Bob', 'Charlie', 'Alice', 'Bob', 'Charlie'],
'Subject': ['Math', 'Math', 'Math', 'Science', 'Science', 'Science'],
'Score': [85, 78, 92, 89, 76, 95]
}
df = pd.DataFrame(data)
df.groupby('Subject').agg(['min','max','mean'])Issue Description
output:-
agg function failed [how->mean,dtype->object]
In previous version the output is coming now not coming due to object dtype, and also unable to change it to numeric_only = True
Expected Behavior
It should show a output in the form of for numeric value
Installed Versions
INSTALLED VERSIONS
commit : a671b5a
python : 3.11.7.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.22631
machine : AMD64
processor : Intel64 Family 6 Model 142 Stepping 9, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_India.1252
pandas : 2.1.4
numpy : 1.26.4
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : 68.2.2
pip : 23.3.1
Cython : None
pytest : 7.4.0
hypothesis : None
sphinx : 5.0.2
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.3
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.3
IPython : 8.20.0
pandas_datareader : None
bs4 : 4.12.2
bottleneck : 1.3.7
dataframe-api-compat: None
fastparquet : None
fsspec : 2023.10.0
gcsfs : None
matplotlib : 3.8.0
numba : 0.59.0
numexpr : 2.8.7
odfpy : None
openpyxl : 3.0.10
pandas_gbq : None
pyarrow : 14.0.2
pyreadstat : None
pyxlsb : None
s3fs : 2023.10.0
scipy : 1.11.4
sqlalchemy : 2.0.25
tables : 3.9.2
tabulate : 0.9.0
xarray : 2023.6.0
xlrd : None
zstandard : 0.19.0
tzdata : 2023.3
qtpy : 2.4.1
pyqt5 : None