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https://issues.apache.org/jira/browse/ARROW-13007?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Torstein Sørnes updated ARROW-13007:
------------------------------------
Description:
Having support for Sets would be great.
It is possible to do:
{code:java}
pd.DataFrame([[{'1': None}]], columns =["s"]).to_feather('/tmp/x'){code}
But using a Set instead of a dictionary is not possible
{code:java}
pd.DataFrame([[{'1'}]], columns =["s"]).to_feather('/tmp/x'){code}
{quote}ArrowInvalid: ("Could not convert \{'1'} with type set: did not
recognize Python value type when inferring an Arrow data type", 'Conversion
failed for column s with type object')
{quote}
was:
Having support for Sets would be great.
{{It is possible to do:}}
pd.DataFrame([[\{'1': None}]], columns =["s"]).to_feather('/tmp/x')
But using a Set instead of a dictionary is not possible
pd.DataFrame([[\{'1'}]], columns =["s"]).to_feather('/tmp/x')
{{ArrowInvalid: ("Could not convert \{'1'} with type set: did not recognize
Python value type when inferring an Arrow data type", 'Conversion failed for
column s with type object')}}
> Supporting Sets (HashSets)
> --------------------------
>
> Key: ARROW-13007
> URL: https://issues.apache.org/jira/browse/ARROW-13007
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Affects Versions: 4.0.1
> Reporter: Torstein Sørnes
> Priority: Major
>
> Having support for Sets would be great.
>
> It is possible to do:
> {code:java}
> pd.DataFrame([[{'1': None}]], columns =["s"]).to_feather('/tmp/x'){code}
> But using a Set instead of a dictionary is not possible
> {code:java}
> pd.DataFrame([[{'1'}]], columns =["s"]).to_feather('/tmp/x'){code}
>
> {quote}ArrowInvalid: ("Could not convert \{'1'} with type set: did not
> recognize Python value type when inferring an Arrow data type", 'Conversion
> failed for column s with type object')
> {quote}
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