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https://issues.apache.org/jira/browse/ARROW-1989?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16852495#comment-16852495
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Wes McKinney commented on ARROW-1989:
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[~jorisvandenbossche] potentially of interest?
> [Python] Better UX on timestamp conversion to Pandas
> ----------------------------------------------------
>
> Key: ARROW-1989
> URL: https://issues.apache.org/jira/browse/ARROW-1989
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Uwe L. Korn
> Priority: Major
> Fix For: 0.14.0
>
>
> Converting timestamp columns to Pandas, users often have the problem that
> they have dates that are larger than Pandas can represent with their
> nanosecond representation. Currently they simply see an Arrow exception and
> think that this problem is caused by Arrow. We should try to change the error
> from
> {code}
> ArrowInvalid: Casting from timestamp[ns] to timestamp[us] would lose data: XX
> {code}
> to something along the lines of
> {code}
> ArrowInvalid: Casting from timestamp[ns] to timestamp[us] would lose data:
> XX. This conversion is needed as Pandas does only support nanosecond
> timestamps. Your data is likely out of the range that can be represented with
> nanosecond resolution.
> {code}
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