{"record":{"id":"730615daf513dd8a","repo":"pandas-dev/pandas","slug":"cannot-add-the-type-type-other-name-to-a-t","errorCode":null,"errorMessage":"cannot add the type {type(other).__name__} to a {type(self).__name__}","messagePattern":"cannot add the type (.+?) to a (.+?)","errorType":"exception","errorClass":"TypeError","httpStatus":null,"severity":"error","filePath":"pandas/core/arrays/timedeltas.py","lineNumber":473,"sourceCode":"        return get_format_timedelta64(self, box=True)\n\n    def _format_native_types(\n        self, *, na_rep: str | float = \"NaT\", date_format=None, **kwargs\n    ) -> npt.NDArray[np.object_]:\n        from pandas.io.formats.format import get_format_timedelta64\n\n        # Relies on TimeDelta._repr_base\n        formatter = get_format_timedelta64(self, na_rep)\n        # equiv: np.array([formatter(x) for x in self._ndarray])\n        #  but independent of dimension\n        return np.frompyfunc(formatter, 1, 1)(self._ndarray)\n\n    # ----------------------------------------------------------------\n    # Arithmetic Methods\n\n    def _add_offset(self, other):\n        assert not isinstance(other, (Tick, Day))\n        raise TypeError(\n            f\"cannot add the type {type(other).__name__} to a {type(self).__name__}\"\n        )\n\n    def _mul_float_overflowsafe(\n        self, other: float | np.floating | npt.NDArray[np.floating]\n    ) -> Self:\n        # GH#43178: detect float products that would silently saturate to\n        #  int64.max on the int64 cast below\n        i8 = self.asi8\n        self_mask = i8 == iNaT\n        if self_mask.any():\n            # zero out NaT positions so they don't trigger the bounds check\n            i8 = np.where(self_mask, 0, i8)\n        f_result = i8 * other\n        nan_mask = np.isnan(f_result)\n        non_nan = f_result[~nan_mask]\n        # Compare against 2**63, not i8max: i8max (2**63 - 1) rounds up to\n        #  2**63 in float64, so a product landing exactly on 2**63 would slip","sourceCodeStart":455,"sourceCodeEnd":491,"githubUrl":"https://github.com/pandas-dev/pandas/blob/3b7651241d4da534b3559b60ef128e1c34f54116/pandas/core/arrays/timedeltas.py#L455-L491","documentation":"Raised by TimedeltaArray._add_offset when an attempt is made to add a DateOffset-like object (other than Tick or Day, which are handled earlier) to a timedelta64 array. Calendar/anchored offsets (e.g. MonthEnd, YearBegin, BusinessDay) are semantically meaningless when added to a pure duration, so pandas refuses rather than produce a nonsensical result. The assert guards the already-handled Tick/Day case; everything else falls through to the TypeError.","triggerScenarios":"Adding a non-Tick DateOffset to a Series/Index of dtype timedelta64[ns], e.g. `pd.Series(pd.to_timedelta(range(3), unit='D')) + pd.offsets.MonthEnd(1)`, or dispatching `TimedeltaArray.__add__` with an offset operand through the offsets arithmetic path.","commonSituations":"Mixing offset-based date arithmetic (intended for datetime64) with timedelta64 data; code ported from a Timestamp/TimestampIndex context that reused the same offset operand against durations.","solutions":["Operate on datetime64 data instead: cast the timedelta to a Timestamp base first, or apply the offset to a DatetimeIndex/Series.","If the intent is to scale a duration, use an integer/float multiplier rather than a DateOffset.","For Tick/Day offsets specifically use those types directly, since they are handled by a separate path and will not hit this error."],"exampleFix":"# before\ns = pd.Series(pd.to_timedelta([1, 2, 3], unit='D'))\ns + pd.offsets.MonthEnd(1)  # TypeError\n\n# after (apply offset to datetime data)\nts = pd.Timestamp('2020-01-01')\nts + pd.offsets.MonthEnd(1)","handlingStrategy":"type-guard","validationCode":"from pandas.tseries.offsets import DateOffset, Tick, Day\n\ndef is_offset_addable_to_td(other) -> bool:\n    # only Tick/Day are addable to timedelta; anything else is rejected\n    return isinstance(other, (Tick, Day)) or not isinstance(other, DateOffset)","typeGuard":"from pandas.tseries.offsets import DateOffset, Tick, Day\n\ndef can_add_to_timedelta(other) -> bool:\n    \"\"\"True if `other` is a valid addend for timedelta64 data.\"\"\"\n    if isinstance(other, DateOffset):\n        return isinstance(other, (Tick, Day))\n    return True","tryCatchPattern":"try:\n    result = td_array + other\nexcept TypeError as e:\n    if 'cannot add the type' in str(e):\n        # offset is incompatible with timedelta; route to datetime arithmetic\n        raise\n    raise","preventionTips":["Keep offset arithmetic on datetime64 data; reserve timedelta arithmetic for numeric scaling.","Guard offset operands with isinstance checks against Tick/Day before adding to timedelta."],"tags":["timedelta","offsets","typeerror","arithmetic"],"backgroundTag":null,"analyzedSha":"3b7651241d4da534b3559b60ef128e1c34f54116","analyzedAt":"2026-08-11T22:10:44.015Z","contentChangedAt":null,"schemaVersion":2},"datasetVersion":"2026-09-23T08:17:48.524Z"}