Jochen Ott created ARROW-371:
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Summary: Python: Table with null timestamp becomes float in pandas
Key: ARROW-371
URL: https://issues.apache.org/jira/browse/ARROW-371
Project: Apache Arrow
Issue Type: Bug
Components: Python
Reporter: Jochen Ott
Priority: Minor
I'm testing round-trip of pandas DataFrame to arrow Table and back.
Converting a pandas DataFrame with pd.Timestamp columns and NaT entries to a
Table seems to work fine (null count and data type of the column match
expectations). However, converting the Table back to a DataFrame represents the
column as float64, not as pandas.Timestamp/numpy.datetime64[ns] as expected.
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