David Lee created ARROW-3907:
--------------------------------
Summary: [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
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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