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Keywords {🔍}

marcogorelli, nat, commented, member, mroeschke, format, bug, pandas, issue, jbrockmendel, sign, iso, noniso, todatetime, expected, datetime, discussion, author, skip, projects, dtypeobject, nan, provided, navigation, pull, requests, actions, security, inconsistent, handling, formats, closed, description, version, confirmed, exists, hmsz, index, case, thoughts, correct, added, data, dtype, requires, core, team, action, mentioned, dont,

Topics {✒️}

pandas/pandas/tests/tools/test_to_datetime mixed-argument to_datetime testing personal information bug issue description marcogorelli mentioned discussion requires discussion comment metadata assignees recently added format='%y-%m-% format='%y-%d-% latest version bug exists guess/infer note dtype='object' dtype=object type projects projects milestone 2 pydatetime objects parse bug mixed = to_datetime issue pandas action type 0 closed mixed offsets main branch core team id expect implicit to_datetime formatting paths strp/stftime initial thought respecting exact 100% complete relationships expected = series errors keyword datetimeindex github ser = series provided thought raise errors nat skip testing parsed iso iso to_datetime note expected

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Questions {❓}

• , errors="raise") shouldn't this raise since format can't be applied to None?
• @jbrockmendel any thoughts on what should be correct?
• @mroeschke do you have thoughts on which is correct?
• Already have an account?
• I don't think DatetimeIndex is possible with mixed offsets, is it?
• If format is provided, should all arguments be strings (or datetimes that were recently added?
• Should the errors keyword be applicable here?
• Strftime(format) -> NaT parsing be supported?

Schema {🗺️}

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      headline:BUG: inconsistent None handling for ISO and non-ISO formats
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python In [15]: to_datetime(['2020-01-01 00:00:00+01:00', '2020-01-01 00:00:00+02:00', None], format='%Y-%m-%d %H:%M:%S%z') Out[15]: Index([2020-01-01 00:00:00+01:00, 2020-01-01 00:00:00+02:00, None], dtype='object') In [16]: to_datetime(['2020-01-01 00:00:00+01:00', '2020-01-01 00:00:00+02:00', None], format='%Y-%d-%m %H:%M:%S%z') Out[16]: Index([2020-01-01 00:00:00+01:00, 2020-01-01 00:00:00+02:00, NaT], dtype='object') ``` ### Issue Description In the first (ISO) case, `None` stays `None`. But in the second (non-ISO) case, `None` becomes `NaT`. ### Expected Behavior @jbrockmendel any thoughts on what should be correct? I think I'd prefer the latter (just change to `NaT`) ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 8dab54d6573f7186ff0c3b6364d5e4dd635ff3e7 python : 3.8.15.final.0 python-bits : 64 OS : Linux OS-release : 5.10.102.1-microsoft-standard-WSL2 Version : #1 SMP Wed Mar 2 00:30:59 UTC 2022 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_GB.UTF-8 LOCALE : en_GB.UTF-8 pandas : 1.5.2 numpy : 1.23.5 pytz : 2022.6 dateutil : 2.8.2 setuptools : 65.5.1 pip : 22.3.1 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : 3.1.2 IPython : 8.6.0 pandas_datareader: None bs4 : 4.11.1 bottleneck : None brotli : None fastparquet : None fsspec : None gcsfs : None matplotlib : None numba : None numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : None pyreadstat : None pyxlsb : None s3fs : None scipy : None snappy : None sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None zstandard : None tzdata : None None </details>
      author:
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      datePublished:2022-12-05T19:39:08.000Z
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      headline:BUG: inconsistent None handling for ISO and non-ISO formats
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python In [15]: to_datetime(['2020-01-01 00:00:00+01:00', '2020-01-01 00:00:00+02:00', None], format='%Y-%m-%d %H:%M:%S%z') Out[15]: Index([2020-01-01 00:00:00+01:00, 2020-01-01 00:00:00+02:00, None], dtype='object') In [16]: to_datetime(['2020-01-01 00:00:00+01:00', '2020-01-01 00:00:00+02:00', None], format='%Y-%d-%m %H:%M:%S%z') Out[16]: Index([2020-01-01 00:00:00+01:00, 2020-01-01 00:00:00+02:00, NaT], dtype='object') ``` ### Issue Description In the first (ISO) case, `None` stays `None`. But in the second (non-ISO) case, `None` becomes `NaT`. ### Expected Behavior @jbrockmendel any thoughts on what should be correct? I think I'd prefer the latter (just change to `NaT`) ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 8dab54d6573f7186ff0c3b6364d5e4dd635ff3e7 python : 3.8.15.final.0 python-bits : 64 OS : Linux OS-release : 5.10.102.1-microsoft-standard-WSL2 Version : #1 SMP Wed Mar 2 00:30:59 UTC 2022 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_GB.UTF-8 LOCALE : en_GB.UTF-8 pandas : 1.5.2 numpy : 1.23.5 pytz : 2022.6 dateutil : 2.8.2 setuptools : 65.5.1 pip : 22.3.1 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : 3.1.2 IPython : 8.6.0 pandas_datareader: None bs4 : 4.11.1 bottleneck : None brotli : None fastparquet : None fsspec : None gcsfs : None matplotlib : None numba : None numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : None pyreadstat : None pyxlsb : None s3fs : None scipy : None snappy : None sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None zstandard : None tzdata : None None </details>
      author:
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