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Reproducible Example

import pandas as pd
x = pd.to_datetime('87156549591102612381000001219H5',infer_datetime_format=True, errors='coerce')

Issue Description

Function should return NaT in case of problem, not exception decimal.DivisionImpossible: InvalidOperation: []

Problem present also in former versions of pandas.

Expected Behavior

x = pd.NaT

Installed Versions

INSTALLED VERSIONS ------------------ commit : 87cfe4e38bafe7300a6003a1d18bd80f3f77c763 python : 3.10.4.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.19044 machine : AMD64 processor : Intel64 Family 6 Model 154 Stepping 3, GenuineIntel byteorder : little LC_ALL : None LANG : en LOCALE : English_United States.1252 pandas : 1.5.0 numpy : 1.23.1 pytz : 2022.1 dateutil : 2.8.2 setuptools : 57.0.0 pip : 22.2.2 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : None IPython : 7.31.1 pandas_datareader: None bs4 : None bottleneck : 1.3.5 brotli : fastparquet : None fsspec : None gcsfs : None matplotlib : 3.5.3 numba : None numexpr : 2.8.3 odfpy : None openpyxl : None pandas_gbq : None pyarrow : None pyreadstat : None pyxlsb : None s3fs : None scipy : 1.9.1 snappy : None sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None zstandard : None tzdata : None

Comment From: MarcoGorelli

thanks @gkep for the report

this comes from dateutil:

In [4]: from dateutil.parser import parse as du_parse

In [5]: du_parse('87156549591102612381000001219H5')
---------------------------------------------------------------------------
InvalidOperation                          Traceback (most recent call last)
Cell In[5], line 1
----> 1 du_parse('87156549591102612381000001219H5')

File ~/pandas-dev/.311venv/lib/python3.11/site-packages/dateutil/parser/_parser.py:1368, in parse(timestr, parserinfo, **kwargs)
   1366     return parser(parserinfo).parse(timestr, **kwargs)
   1367 else:
-> 1368     return DEFAULTPARSER.parse(timestr, **kwargs)

File ~/pandas-dev/.311venv/lib/python3.11/site-packages/dateutil/parser/_parser.py:640, in parser.parse(self, timestr, default, ignoretz, tzinfos, **kwargs)
    636 if default is None:
    637     default = datetime.datetime.now().replace(hour=0, minute=0,
    638                                               second=0, microsecond=0)
--> 640 res, skipped_tokens = self._parse(timestr, **kwargs)
    642 if res is None:
    643     raise ParserError("Unknown string format: %s", timestr)

File ~/pandas-dev/.311venv/lib/python3.11/site-packages/dateutil/parser/_parser.py:740, in parser._parse(self, timestr, dayfirst, yearfirst, fuzzy, fuzzy_with_tokens)
    736     value = None
    738 if value is not None:
    739     # Numeric token
--> 740     i = self._parse_numeric_token(l, i, info, ymd, res, fuzzy)
    742 # Check weekday
    743 elif info.weekday(l[i]) is not None:

File ~/pandas-dev/.311venv/lib/python3.11/site-packages/dateutil/parser/_parser.py:936, in parser._parse_numeric_token(self, tokens, idx, info, ymd, res, fuzzy)
    932     (idx, hms) = self._parse_hms(idx, tokens, info, hms_idx)
    933     if hms is not None:
    934         # TODO: checking that hour/minute/second are not
    935         # already set?
--> 936         self._assign_hms(res, value_repr, hms)
    938 elif idx + 2 < len_l and tokens[idx + 1] == ':':
    939     # HH:MM[:SS[.ss]]
    940     res.hour = int(value)

File ~/pandas-dev/.311venv/lib/python3.11/site-packages/dateutil/parser/_parser.py:1047, in parser._assign_hms(self, res, value_repr, hms)
   1044 if hms == 0:
   1045     # Hour
   1046     res.hour = int(value)
-> 1047     if value % 1:
   1048         res.minute = int(60*(value % 1))
   1050 elif hms == 1:

InvalidOperation: [<class 'decimal.DivisionImpossible'>]

I'd suggest reporting there

As for what to do on the pandas side, this should probably be caught, we just need to add this exception to

https://github.com/pandas-dev/pandas/blob/5645847c042de58d6ea4f4c2fe0e28457f0e1ab0/pandas/_libs/tslibs/parsing.pyx#L892-L896

, and add a test case for this in

https://github.com/pandas-dev/pandas/blob/a23f101ed06823d7e4a9be7450af2e99cb59d396/pandas/tests/tslibs/test_parsing.py#L238-L254

Interested in submitting a PR?

Comment From: kcaashish

take