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BUG: FutureWarning for pandas datetime dtype series strftime with all NA values #45858
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Thanks @JeremyVriens for the report
deprecation added in #42870 |
IIUC in a future version this will return with object dtype, which seems More Correct to me. So might want to catch this warning and then re-issue with something more specific? |
moving to 1.4.2 |
Why will this return an object dtype in a future version? No warning is raised when there're non-NA values in the datetime64[ns] series ( |
Because object-dtype is what we get in every other case with strftime. float64 doesn't make sense as a strftime result.
|
moving to 1.4.3 |
moving to 1.4.4 |
Agreed that this returning float64 dtype for all-NaN is a bug. The result dtype shouldn't depend on the values. I think the root bug is that In [32]: pd.DatetimeIndex([pd.NaT]).strftime("%Y")
/home/taugspurger/miniconda3/envs/pandas=1.4.2/lib/python3.10/site-packages/pandas/core/indexes/extension.py:101: FutureWarning: In a future version, the Index constructor will not infer numeric dtypes when passed object-dtype sequences (matching Series behavior)
return Index(result, name=self.name)
Out[32]: Float64Index([nan], dtype='float64') If that were fixed I think the series case will automatically be fixed too. |
The underlying
but indeed then passing this to |
hey there, thanks for this! so pandas>=1.4.0 is a dependency in my software package (pysyd) and I've had people reach out to me due to this error. is there a quick hack that I can do from my end or will I/they have to wait until the full v1.4.4 release? |
I am receiving this warning performing a pivot of a table (it will include some date/time data) Will the warning become an error in the future? Is there anything that users need to do as a work-around or will this issue be resolved in an upcoming release? (I have upgraded to 1.5.2 and still receive the warning). Many thanks |
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
Issue Description
Since Pandas 1.4.0 a warning is raised:
FutureWarning: In a future version, the Index constructor will not infer numeric dtypes when passed object-dtype sequences (matching Series behavior)
This warning is raised when all values in the series are N/A (even though the dtype of the series is correct).
Note: the warning is not raised when one of the values in the series is not NA
Expected Behavior
No FutureWarning should be raised.
Installed Versions
INSTALLED VERSIONS
commit : bb1f651
python : 3.9.10.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19044
machine : AMD64
processor : Intel64 Family 6 Model 85 Stepping 4, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United States.1252
pandas : 1.4.0
numpy : 1.22.2
pytz : 2021.3
dateutil : 2.8.2
pip : 21.3.1
setuptools : 59.2.0
Cython : None
pytest : 7.0.0
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : 3.0.9
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.7.3
sqlalchemy : 1.4.31
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
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