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https://issues.apache.org/jira/browse/ARROW-2298?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16646764#comment-16646764
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Jakub Okoński commented on ARROW-2298:
--------------------------------------
I would like for this to work:
{quote}{{In [1]: import pyarrow}}
{{In [2]: import pandas as pd}}
{{In [3]: df = pd.DataFrame(\{'a': [None, 1, 2, 3, None]})}}
{{In [4]: df.dtypes}}
{{Out[4]: }}
{{a float64}}
{{dtype: object}}
{{In [5]: schema = pyarrow.schema([pyarrow.field(name='a',
type=pyarrow.int64(), nullable=True)])}}
{{In [6]: pyarrow.Table.from_pandas(df, schema=schema, preserve_index=False)}}
{{---------------------------------------------------------------------------}}
{{ArrowInvalid Traceback (most recent call last)}}
{{<ipython-input-6-c779f0c872bb> in <module>()}}
{{----> 1 pyarrow.Table.from_pandas(df, schema=schema, preserve_index=False)}}
{{...}}
{{ArrowInvalid: ('Floating point value truncated', 'Conversion failed for
column a with type float64')}}{quote}
> [Python] Add option to not consider NaN to be null when converting to an
> integer Arrow type
> -------------------------------------------------------------------------------------------
>
> Key: ARROW-2298
> URL: https://issues.apache.org/jira/browse/ARROW-2298
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Wes McKinney
> Priority: Major
> Fix For: 0.12.0
>
>
> Follow-on work to ARROW-2135
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