RecursionError in DataFrame.replace with Out of Bounds Datetime · Issue #20380 · pandas-dev/pandas (original) (raw)

OutOfBoundsDatetime Traceback (most recent call last) ~/sandbox/pandas/pandas/core/internals.py in replace(self, to_replace, value, inplace, filter, regex, convert, mgr) 804 blocks = [b.convert(by_item=True, numeric=False, --> 805 copy=not inplace) for b in blocks] 806 return blocks

~/sandbox/pandas/pandas/core/internals.py in (.0) 804 blocks = [b.convert(by_item=True, numeric=False, --> 805 copy=not inplace) for b in blocks] 806 return blocks

~/sandbox/pandas/pandas/core/internals.py in convert(self, *args, **kwargs) 2355 if by_item and not self._is_single_block: -> 2356 blocks = self.split_and_operate(None, f, False) 2357 else:

~/sandbox/pandas/pandas/core/internals.py in split_and_operate(self, mask, f, inplace) 508 if m.any(): --> 509 nv = f(m, v, i) 510 else:

~/sandbox/pandas/pandas/core/internals.py in f(m, v, i) 2345 shape = v.shape -> 2346 values = fn(v.ravel(), **fn_kwargs) 2347 try:

~/sandbox/pandas/pandas/core/dtypes/cast.py in soft_convert_objects(values, datetime, numeric, timedelta, coerce, copy) 834 if datetime: --> 835 values = lib.maybe_convert_objects(values, convert_datetime=datetime) 836

~/sandbox/pandas/pandas/_libs/src/inference.pyx in pandas.libs.lib.maybe_convert_objects() 1317 seen.datetime = 1 -> 1318 idatetimes[i] = convert_to_tsobject( 1319 val, None, None, 0, 0).value

~/sandbox/pandas/pandas/_libs/tslibs/conversion.pyx in pandas._libs.tslibs.conversion.convert_to_tsobject() 299 elif PyDateTime_Check(ts): --> 300 return convert_datetime_to_tsobject(ts, tz, nanos) 301 elif PyDate_Check(ts):

~/sandbox/pandas/pandas/_libs/tslibs/conversion.pyx in pandas._libs.tslibs.conversion.convert_datetime_to_tsobject() 379 --> 380 check_dts_bounds(&obj.dts) 381 check_overflows(obj)

~/sandbox/pandas/pandas/_libs/tslibs/np_datetime.pyx in pandas._libs.tslibs.np_datetime.check_dts_bounds() 120 dts.min, dts.sec) --> 121 raise OutOfBoundsDatetime( 122 'Out of bounds nanosecond timestamp: {fmt}'.format(fmt=fmt))

OutOfBoundsDatetime: Out of bounds nanosecond timestamp: 3017-12-20 00:00:00