BUG: describe() doesn't show mean and quantiles for data of type INT

[aleksejalex]

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Reproducible Example

import pandas as pd

data = pd.DataFrame(columns = ['number'])

for i in [2,4,5]:
    row_data = {'number': i}
    data = pd.concat([data, pd.DataFrame([row_data])], ignore_index=True)

print(data.describe(include='all'))

Issue Description

descriibe won't count stats for INT variables

Expected Behavior

I believe previous versions did it without any problem

Installed Versions

INSTALLED VERSIONS

commit : a671b5a
python : 3.12.1.final.0
python-bits : 64
OS : Linux
OS-release : 5.15.0-91-generic
Version : #101-Ubuntu SMP Tue Nov 14 13:30:08 UTC 2023
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.1.4
numpy : 1.26.3
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : None
pip : 23.3.2
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.3
IPython : 8.20.0
pandas_datareader : None
bs4 : 4.12.2
bottleneck : None
dataframe-api-compat: None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.8.2
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.11.4
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.4
qtpy : None
pyqt5 : None

[asishm]

This is because the dtype for the number column is object (which was changed in the 2.0 release - see #29405)

So the question here is if pd.concat should try to re-infer dtypes. You can change this line data = pd.DataFrame(columns = ['number'], dtype='int64')

[aleksejalex]

OK, but I need my dataframe to contains different types in different columns: INT, FLOAT, STR, and another objects.

[rhshadrach]

@aleksejalex - thanks for the report, it sounds like you're asking how to construct a DataFrame with different column types. Please ask questions like this on StackOverflow.

If you are not getting the results you would like for data.describe(), please check the output of data.dtypes. If the dtypes are object, then this is why you're not getting mean and quantiles at it is not a bug with DataFrame.describe.

Closing.