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Posted to issues@arrow.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2019/02/08 18:48:00 UTC

[jira] [Updated] (ARROW-4370) [Python] Table to pandas conversion fails for list of bool

     [ https://issues.apache.org/jira/browse/ARROW-4370?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated ARROW-4370:
----------------------------------
    Labels: pull-request-available  (was: )

> [Python] Table to pandas conversion fails for list of bool
> ----------------------------------------------------------
>
>                 Key: ARROW-4370
>                 URL: https://issues.apache.org/jira/browse/ARROW-4370
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 0.12.0
>            Reporter: Francisco Sanchez
>            Assignee: Uwe L. Korn
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 0.13.0
>
>
> When converting a Table with a list of bool to pandas it doesn't work and throws an error. For list of int is working correctly.
> {code:java}
>  In [94]: x1 = [1,2,3,4]
>  In [95]: f1 = pa.field('test', pa.list_(pa.int32()))
>  In [96]: array1 = pa.array([x1], type=f1.type)
>  In [97]: pa.Table.from_arrays([array1], names=['col1']).to_pandas()
>  Out[97]: 
>  col1
>  0 [1, 2, 3, 4]
>  In [98]: x2 = [True, True, False, False]
>  In [99]: f2 = pa.field('test', pa.list_(pa.bool_()))
>  In [100]: array2 = pa.array([x2], type=f2.type)
>  In [101]: pa.Table.from_arrays([array2], names=['col1']).to_pandas()
>  ---------------------------------------------------------------------------
>  ArrowNotImplementedError Traceback (most recent call last)
>  <ipython-input-101-04ab2e0d4c8f> in <module>()
>  ----> 1 pa.Table.from_arrays([array2], names=['col1']).to_pandas()
>  ~/.virtualenvs/py3-gpu/lib/python3.5/site-packages/pyarrow/array.pxi in pyarrow.lib._PandasConvertible.to_pandas()
>  ~/.virtualenvs/py3-gpu/lib/python3.5/site-packages/pyarrow/table.pxi in pyarrow.lib.Table._to_pandas()
>  ~/.virtualenvs/py3-gpu/lib/python3.5/site-packages/pyarrow/pandas_compat.py in table_to_blockmanager(options, table, categories, ignore_metadata)
>  630 
>  631 blocks = _table_to_blocks(options, block_table, pa.default_memory_pool(),
>  --> 632 categories)
>  633 
>  634 # Construct the row index
>  ~/.virtualenvs/py3-gpu/lib/python3.5/site-packages/pyarrow/pandas_compat.py in _table_to_blocks(options, block_table, memory_pool, categories)
>  803 # Convert an arrow table to Block from the internal pandas API
>  804 result = pa.lib.table_to_blocks(options, block_table, memory_pool,
>  --> 805 categories)
>  806 
>  807 # Defined above
>  ~/.virtualenvs/py3-gpu/lib/python3.5/site-packages/pyarrow/table.pxi in pyarrow.lib.table_to_blocks()
>  ~/.virtualenvs/py3-gpu/lib/python3.5/site-packages/pyarrow/error.pxi in pyarrow.lib.check_status()
>  ArrowNotImplementedError: Not implemented type for list in DataFrameBlock: bool
> {code}



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