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If I have this date of example: 10/10/9999 When I try to use it with pandas I get this error:

 pandas._libs.tslibs.np_datetime.OutOfBoundsDatetime: Out of bounds nanosecond timestamp:

How do I check if the date is within the pandas date time boundaries?

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    Does this answer your question? [pandas out of bounds nanosecond timestamp after offset rollforward plus adding a month offset](https://stackoverflow.com/questions/32888124/pandas-out-of-bounds-nanosecond-timestamp-after-offset-rollforward-plus-adding-a) – ManojK Mar 06 '20 at 14:55
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    Or somewhere in here? https://stackoverflow.com/questions/48743948/python-convert-object-column-into-datetime-and-compare-with-current-date – KenHBS Mar 06 '20 at 14:55
  • The point is that while numpy allows various resolutions for its `datetime64` dtype pandas only use `datetime64(ns)` – Serge Ballesta Mar 06 '20 at 15:10

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