pandas: RecursionError in DataFrame.replace with Out of Bounds Datetime

RecursionError in DataFrame.replace

import pandas as pd
import datetime
df = pd.DataFrame({
    "dt" : [datetime.datetime(3017, 12, 20)], 
    "str" : ["blah"]
})
df.replace("blah", "cats")

Leads to lots of

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 <listcomp>(.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

(thanks to @ChrisMuir for the example)