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https://issues.apache.org/jira/browse/ARROW-3907?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17660931#comment-17660931
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Rok Mihevc commented on ARROW-3907:
-----------------------------------
This issue has been migrated to [issue
#20520|https://github.com/apache/arrow/issues/20520] on GitHub. Please see the
[migration documentation|https://github.com/apache/arrow/issues/14542] for
further details.
> [Python] from_pandas errors when schemas are used with lower resolution
> timestamps
> ----------------------------------------------------------------------------------
>
> Key: ARROW-3907
> URL: https://issues.apache.org/jira/browse/ARROW-3907
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.11.1
> Reporter: David Lee
> Priority: Major
> Fix For: 0.11.1
>
>
> When passing in a schema object to from_pandas a resolution error occurs if
> the schema uses a lower resolution timestamp. Do we need to also add
> "coerce_timestamps" and "allow_truncated_timestamps" parameters found in
> write_table() to from_pandas()?
> Error:
> pyarrow.lib.ArrowInvalid: ('Casting from timestamp[ns] to timestamp[ms] would
> lose data: 1532015191753713000', 'Conversion failed for column modified with
> type datetime64[ns]')
> Code:
>
> {code:java}
> processed_schema = pa.schema([
> pa.field('Id', pa.string()),
> pa.field('modified', pa.timestamp('ms')),
> pa.field('records', pa.int32())
> ])
> pa.Table.from_pandas(df, schema=processed_schema, preserve_index=False)
> {code}
>
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