issue_comments: 339730597
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https://github.com/pydata/xarray/issues/1662#issuecomment-339730597 | https://api.github.com/repos/pydata/xarray/issues/1662 | 339730597 | MDEyOklzc3VlQ29tbWVudDMzOTczMDU5Nw== | 1217238 | 2017-10-26T16:56:03Z | 2017-10-26T16:56:03Z | MEMBER | I'm pretty sure this used to work in some form. I definitely worked with a dataset in the infancy of xarray that had coordinates with missing times. The current issue appears to be that pandas represents the In [9]: pd.to_timedelta(['24658 days 11:15:00', 'NaT']) + pd.Timestamp('1950-01-01')OverflowError Traceback (most recent call last) <ipython-input-9-cc287bf4c401> in <module>() ----> 1 pd.to_timedelta(['24658 days 11:15:00', 'NaT']) + pd.Timestamp('1950-01-01') ~/conda/envs/xarray-py36/lib/python3.6/site-packages/pandas/core/indexes/datetimelike.py in add(self, other) 658 return self.shift(other) 659 elif isinstance(other, (Timestamp, datetime)): --> 660 return self._add_datelike(other) 661 else: # pragma: no cover 662 return NotImplemented ~/conda/envs/xarray-py36/lib/python3.6/site-packages/pandas/core/indexes/timedeltas.py in _add_datelike(self, other) 354 other = Timestamp(other) 355 i8 = self.asi8 --> 356 result = checked_add_with_arr(i8, other.value) 357 result = self._maybe_mask_results(result, fill_value=iNaT) 358 return DatetimeIndex(result, name=self.name, copy=False) ~/conda/envs/xarray-py36/lib/python3.6/site-packages/pandas/core/algorithms.py in checked_add_with_arr(arr, b, arr_mask, b_mask) 889 890 if to_raise: --> 891 raise OverflowError("Overflow in int64 addition") 892 return arr + b 893 OverflowError: Overflow in int64 addition ``` This appears to be specific to our use of a In [12]: pd.Timedelta('24658 days 11:15:00') + pd.Timestamp('1950-01-01') Out[12]: Timestamp('2017-07-06 11:15:00') ``` |
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