Details
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Bug
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Status: Resolved
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Major
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Resolution: Fixed
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None
Description
When converting a Table timestamp column to Pandas, the name of the column is lost in the resulting series.
In [23]: a1 = pa.array([pd.Timestamp.now()]) In [24]: a2 = pa.array([1]) In [25]: t = pa.Table.from_arrays([a1, a2], ['ts', 'a']) In [26]: for c in t: ...: print(c.to_pandas()) ...: 0 2020-01-28 13:17:26.738708 dtype: datetime64[ns] 0 1 Name: a, dtype: int64
Attachments
Issue Links
- is related to
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ARROW-7693 [CI] Fix test-conda-python-3.7-spark-master nightly errors
- Resolved
- links to