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[jira] [Created] (ARROW-2554) pa.array type inference bug when using NS-timestamp


Marco Neumann created ARROW-2554:
------------------------------------

             Summary: pa.array type inference bug when using NS-timestamp
                 Key: ARROW-2554
                 URL: https://issues.apache.org/jira/browse/ARROW-2554
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
    Affects Versions: 0.9.0
            Reporter: Marco Neumann


The following fails:
{noformat}
import pandas as pd
import pyarrow as pa

pa.array([pd.Timestamp('now').to_datetime64()])
{noformat}

with {{ArrowNotImplementedError: Cannot convert NumPy datetime64 objects with differing unit}}, but when you provide the correct type information directly, it works:

{noformat}
import pandas as pd
import pyarrow as pa

pa.array([pd.Timestamp('now').to_datetime64()], type=pa.timestamp('ns'))
{noformat}



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