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https://issues.apache.org/jira/browse/ARROW-2145?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16363233#comment-16363233
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Phillip Cloud commented on ARROW-2145:
--------------------------------------

Thanks for the report, taking a look now.

> decimal conversion not working for NaN values
> ---------------------------------------------
>
>                 Key: ARROW-2145
>                 URL: https://issues.apache.org/jira/browse/ARROW-2145
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: C++, Python
>    Affects Versions: 0.8.0
>            Reporter: Antony Mayi
>            Assignee: Phillip Cloud
>            Priority: Major
>
> {code:python}
> import pyarrow as pa
> import pandas as pd
> import decimal
> pa.Table.from_pandas(pd.DataFrame({'a': [decimal.Decimal('1.1'), 
> decimal.Decimal('NaN')]}))
> {code}
> throws following exception:
> {code}
> Traceback (most recent call last):
>   File "<stdin>", line 1, in <module>
>   File "pyarrow/table.pxi", line 875, in pyarrow.lib.Table.from_pandas 
> (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:44927)
>   File "/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line 350, in 
> dataframe_to_arrays
>     convert_types)]
>   File "/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line 349, in 
> <listcomp>
>     for c, t in zip(columns_to_convert,
>   File "/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line 345, in 
> convert_column
>     return pa.array(col, from_pandas=True, type=ty)
>   File "pyarrow/array.pxi", line 170, in pyarrow.lib.array 
> (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:29224)
>   File "pyarrow/array.pxi", line 70, in pyarrow.lib._ndarray_to_array 
> (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:28465)
>   File "pyarrow/error.pxi", line 98, in pyarrow.lib.check_status 
> (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:9068)
> pyarrow.lib.ArrowException: Unknown error: an integer is required (got type 
> str)
> {code}
> Same problem with other special decimal values like {{infinity}}.



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