| self = <pandas.tests.tools.test_to_datetime.TestToDatetime object at 0x7f1f97142050>
|
| value = 'a', format = None
|
|
|
| @pytest.mark.parametrize("value", ["a", "00:01:99"])
|
| @pytest.mark.parametrize("format", [None, "%H:%M:%S"])
|
| def test_datetime_invalid_scalar(self, value, format):
|
| # GH24763
|
| > res = to_datetime(value, errors="ignore", format=format)
|
|
|
| pandas/tests/tools/test_to_datetime.py:1413:
|
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
|
|
|
| arg = 'a', errors = 'ignore', dayfirst = False, yearfirst = False, utc = False
|
| format = None, exact = <no_default>, unit = None
|
| infer_datetime_format = <no_default>, origin = 'unix', cache = True
|
|
|
| def to_datetime(
|
| arg: DatetimeScalarOrArrayConvertible | DictConvertible,
|
| errors: DateTimeErrorChoices = "raise",
|
| dayfirst: bool = False,
|
| yearfirst: bool = False,
|
| utc: bool = False,
|
| format: str | None = None,
|
| exact: bool | lib.NoDefault = lib.no_default,
|
| unit: str | None = None,
|
| infer_datetime_format: lib.NoDefault | bool = lib.no_default,
|
| origin: str = "unix",
|
| cache: bool = True,
|
| ) -> DatetimeIndex | Series | DatetimeScalar | NaTType | None:
|
| if errors == "ignore":
|
| > warnings.warn(
|
| "errors='ignore' is deprecated and will raise in a future version. Use to_datetime(...) instead.",
|
| FutureWarning,
|
| stacklevel=find_stack_level(),
|
| )
|
| E FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime(...) instead.
|
|
|
| pandas/core/tools/datetimes.py:735: FutureWarning
|