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Posted to issues@arrow.apache.org by "Skipper Seabold (Jira)" <ji...@apache.org> on 2021/02/03 20:16:00 UTC
[jira] [Created] (ARROW-11487) [Python] Can't create array from
Categorical with numpy 1.20
Skipper Seabold created ARROW-11487:
---------------------------------------
Summary: [Python] Can't create array from Categorical with numpy 1.20
Key: ARROW-11487
URL: https://issues.apache.org/jira/browse/ARROW-11487
Project: Apache Arrow
Issue Type: Bug
Components: Python
Affects Versions: 2.0.0
Environment: OSX, numpy 1.20.0, pyarrow 2.0. pandas 1.2.1
Reporter: Skipper Seabold
Upgraded to numpy 1.20, and some of my pipelines started to fail.
With numpy 1.20
{code:java}
In [16]: pa.lib.array(pd.Categorical(['a', 'b', 'c']))
---------------------------------------------------------------------------
ArrowTypeError Traceback (most recent call last)
<ipython-input-16-f1ab121f9533> in <module>
----> 1 pa.lib.array(pd.Categorical(['a', 'b', 'c']))~/.miniconda3/lib/python3.7/site-packages/pyarrow/array.pxi in pyarrow.lib.array()~/.miniconda3/lib/python3.7/site-packages/pyarrow/array.pxi in pyarrow.lib._codes_to_indices()~/.miniconda3/lib/python3.7/site-packages/pyarrow/array.pxi in pyarrow.lib.array()~/.miniconda3/lib/python3.7/site-packages/pyarrow/array.pxi in pyarrow.lib._ndarray_to_array()~/.miniconda3/lib/python3.7/site-packages/pyarrow/array.pxi in pyarrow.lib._ndarray_to_type()~/.miniconda3/lib/python3.7/site-packages/pyarrow/error.pxi in pyarrow.lib.check_status()ArrowTypeError: Did not pass numpy.dtype object
{code}
With 1.19.1
{code:java}
In [13]: pa.lib.array(pd.Categorical(['a', 'b', 'c']))
Out[13]:
<pyarrow.lib.DictionaryArray object at 0x7febac27ad50>-- dictionary:
[
"a",
"b",
"c"
]
-- indices:
[
0,
1,
2
]
{code}
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