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Keywords {🔍}

marcogorelli, bug, format, datetime, errors, ymd, issue, expected, inferdatetimeformat, result, pandas, todatetime, doesnt, fail, member, utc, exact, decimal, number, data, file, res, ser, sign, formatymd, commented, pandasdevpandascoretoolsdatetimespy, return, fmt, series, jorisvandenbossche, pull, requests, projects, closed, valueerror, remains, author, dont, arg, raise, nat, timestamp, todatetimeser, cachecache, tmassertseriesequalresult, mentioned, navigation, search, actions,

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file ~/pandas-dev/pandas/core/tools/datetimes file ~/pandas-dev/pandas/_libs/tslibs/strptime pandas/pandas/tests/tools/test_to_datetime completed jorisvandenbossche added unconverted data remains personal information bug comment metadata assignees type projects issue description fallback behavior depending special path serves dtype=object marcogorelli mentioned latest version projects milestone 2 bug exists pandas triage issue share return [datetime datetime res special-casing % bug expected behavior decimal number main branch recent call _libs tslibs strptime {val[found def test_to_datetime_format_yyyymmdd_with_nat 100% complete relationships 475 call array_strptime timezones = array_strptime ser = series 0 closed issue expected = series cache=cache github ser[2] = np exact=true expected[2] = np ser2 = ser utc=utc result = to_datetime errors='ignore'

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• We don't do this for any other format, why are we special-casing %Y%m%d?

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DiscussionForumPosting:
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      headline:BUG: to_datetime with decimal number doesn't fail for %Y%m%d
      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 to_datetime(['19801212.0'], format='%Y%m%d', exact=True) ``` ### Issue Description This should fail, there's no interpretation of `format` in which `19801212.0` matches `%Y%m%d` ### Expected Behavior Probably something like ``` ValueError: unconverted data remains: .0 ``` but certainly not that it passes without an error ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 732ad9f281bf6efffa12b8a872df98e18c11e3b7 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 : 2.0.0.dev0+838.g732ad9f281.dirty numpy : 1.23.5 pytz : 2022.6 dateutil : 2.8.2 setuptools : 65.5.1 pip : 22.3.1 Cython : 0.29.32 pytest : 7.2.0 hypothesis : 6.59.0 sphinx : 4.5.0 blosc : None feather : None xlsxwriter : 3.0.3 lxml.etree : 4.9.1 html5lib : 1.1 pymysql : 1.0.2 psycopg2 : 2.9.3 jinja2 : 3.0.3 IPython : 8.7.0 pandas_datareader: 0.10.0 bs4 : 4.11.1 bottleneck : 1.3.5 brotli : fastparquet : 2022.11.0 fsspec : 2021.11.0 gcsfs : 2021.11.0 matplotlib : 3.6.2 numba : 0.56.4 numexpr : 2.8.3 odfpy : None openpyxl : 3.0.10 pandas_gbq : 0.17.9 pyarrow : 9.0.0 pyreadstat : 1.2.0 pyxlsb : 1.0.10 s3fs : 2021.11.0 scipy : 1.9.3 snappy : sqlalchemy : 1.4.44 tables : 3.7.0 tabulate : 0.9.0 xarray : 2022.11.0 xlrd : 2.0.1 zstandard : 0.19.0 tzdata : None qtpy : None pyqt5 : None None </details>
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      headline:BUG: to_datetime with decimal number doesn't fail for %Y%m%d
      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 to_datetime(['19801212.0'], format='%Y%m%d', exact=True) ``` ### Issue Description This should fail, there's no interpretation of `format` in which `19801212.0` matches `%Y%m%d` ### Expected Behavior Probably something like ``` ValueError: unconverted data remains: .0 ``` but certainly not that it passes without an error ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 732ad9f281bf6efffa12b8a872df98e18c11e3b7 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 : 2.0.0.dev0+838.g732ad9f281.dirty numpy : 1.23.5 pytz : 2022.6 dateutil : 2.8.2 setuptools : 65.5.1 pip : 22.3.1 Cython : 0.29.32 pytest : 7.2.0 hypothesis : 6.59.0 sphinx : 4.5.0 blosc : None feather : None xlsxwriter : 3.0.3 lxml.etree : 4.9.1 html5lib : 1.1 pymysql : 1.0.2 psycopg2 : 2.9.3 jinja2 : 3.0.3 IPython : 8.7.0 pandas_datareader: 0.10.0 bs4 : 4.11.1 bottleneck : 1.3.5 brotli : fastparquet : 2022.11.0 fsspec : 2021.11.0 gcsfs : 2021.11.0 matplotlib : 3.6.2 numba : 0.56.4 numexpr : 2.8.3 odfpy : None openpyxl : 3.0.10 pandas_gbq : 0.17.9 pyarrow : 9.0.0 pyreadstat : 1.2.0 pyxlsb : 1.0.10 s3fs : 2021.11.0 scipy : 1.9.3 snappy : sqlalchemy : 1.4.44 tables : 3.7.0 tabulate : 0.9.0 xarray : 2022.11.0 xlrd : 2.0.1 zstandard : 0.19.0 tzdata : None qtpy : None pyqt5 : None None </details>
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