[jira] [Created] (ARROW-6548) [Python] consistently handle conversion of all-NaN arrays across types

[Joris Van den Bossche (Jira)]

Joris Van den Bossche created ARROW-6548:
--------------------------------------------

             Summary: [Python] consistently handle conversion of all-NaN arrays 
across types
                 Key: ARROW-6548
                 URL: https://issues.apache.org/jira/browse/ARROW-6548
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
            Reporter: Joris Van den Bossche


In ARROW-5682 (https://github.com/apache/arrow/pull/5333), next to fixing 
actual conversion bugs, I added the ability to convert all-NaN float arrays 
when converting to string type (and only with {{from_pandas=True}}). So this 
now works:

{code}
>>> pa.array(np.array([np.nan, np.nan], dtype=float), type=pa.string())
<pyarrow.lib.StringArray object at 0x7f54dc9de830>
[
  null,
  null
]
{code}

However, I only added this for string type (and it already works for float and 
int types). If we are happy with this behaviour, we should also add it for 
other types.




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