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https://issues.apache.org/jira/browse/ARROW-1973?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16357581#comment-16357581
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ASF GitHub Bot commented on ARROW-1973:
---------------------------------------

cpcloud commented on issue #1578: ARROW-1973: [Python] Memory leak when 
converting Arrow tables with array columns to Pandas dataframes.
URL: https://github.com/apache/arrow/pull/1578#issuecomment-364250198
 
 
   Hm, okay. I did run that. It's probably because I'm using clang 5

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> [Python] Memory leak when converting Arrow tables with array columns to 
> Pandas dataframes.
> ------------------------------------------------------------------------------------------
>
>                 Key: ARROW-1973
>                 URL: https://issues.apache.org/jira/browse/ARROW-1973
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: C++, Python
>    Affects Versions: 0.8.0
>         Environment: Linux Mint 18.2
> Anaconda Python distribution + pyarrow installed from the conda-forge channel
>            Reporter: Alexey Strokach
>            Assignee: Phillip Cloud
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 0.9.0
>
>
> There appears to be a memory leak when using PyArrow to convert tables 
> containing array columns to Pandas DataFrames.
>  See the `test_memory_leak.py` example here: 
> https://gitlab.com/ostrokach/pyarrow_duplicate_column_errors



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