Pandas version checks
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[X] I have checked that this issue has not already been reported.
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[X] I have confirmed this bug exists on the latest version of pandas.
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[X] I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
import numpy as np
index = pd.TimedeltaIndex([np.timedelta64(1, "D")], freq="d", name="foo")
Issue Description
A ValueError is raised when creating a TimedeltaIndex from a provided array of np.timedelta64.
This happens on main branch of Pandas, but not with the latest released version 1.5.3.
file test.py:
import pandas as pd
import numpy as np
index = pd.TimedeltaIndex([np.timedelta64(1, "D")], freq="d", name="foo")
running:
> python test.py
Traceback (most recent call last):
File "/Users/jbennet/mambaforge/envs/dask-ci/lib/python3.10/site-packages/pandas/core/arrays/datetimelike.py", line 1908, in _validate_frequency
raise ValueError
ValueError
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/Users/jbennet/src/dask/test.py", line 4, in <module>
index = pd.TimedeltaIndex([np.timedelta64(1, "D")], freq="d", name="foo")
File "/Users/jbennet/mambaforge/envs/dask-ci/lib/python3.10/site-packages/pandas/core/indexes/timedeltas.py", line 161, in __new__
tdarr = TimedeltaArray._from_sequence_not_strict(
File "/Users/jbennet/mambaforge/envs/dask-ci/lib/python3.10/site-packages/pandas/core/arrays/timedeltas.py", line 252, in _from_sequence_not_strict
cls._validate_frequency(result, freq)
File "/Users/jbennet/mambaforge/envs/dask-ci/lib/python3.10/site-packages/pandas/core/arrays/datetimelike.py", line 1919, in _validate_frequency
raise ValueError(
ValueError: Inferred frequency None from passed values does not conform to passed frequency D
Expected Behavior
Expected to not raise an exception.
Installed Versions
INSTALLED VERSIONS
------------------
commit : 7cb7592523380133f552e258f272a5694e37957a
python : 3.10.8.final.0
python-bits : 64
OS : Darwin
OS-release : 22.2.0
Version : Darwin Kernel Version 22.2.0: Fri Nov 11 02:03:51 PST 2022; root:xnu-8792.61.2~4/RELEASE_ARM64_T6000
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.0.0.dev0+1147.g7cb7592523
numpy : 1.25.0.dev0+405.g720cabc23
pytz : 2022.7.1
dateutil : 2.8.2
setuptools : 66.0.0
pip : 22.3.1
Cython : None
pytest : 7.2.1
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.8.0
pandas_datareader: None
bs4 : None
bottleneck : None
brotli :
fastparquet : 2022.12.1.dev8
fsspec : 2022.11.0+27.gb4661bb
gcsfs : None
matplotlib : None
numba : None
numexpr : 2.8.3
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 10.0.1
pyreadstat : None
pyxlsb : None
s3fs : 2022.11.0+10.g8c7dfd4
scipy : 1.11.0.dev0+0.d5d04ef
snappy :
sqlalchemy : 1.4.46
tables : 3.7.0
tabulate : None
xarray : 2022.12.0
xlrd : None
zstandard : None
tzdata : None
qtpy : None
pyqt5 : None
Comment From: jbrockmendel
can you try this on main? this works for me.
Comment From: j-bennet
Sorry, this was not main, but a nightly conda build, installed with:
python -m pip install --no-deps -i https://pypi.anaconda.org/scipy-wheels-nightly/simple pandas
Comment From: j-bennet
Can't reproduce the error on main, closing.