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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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