[jira] [Resolved] (ARROW-2136) [Python] Non-nullable schema fields not checked in conversions from pandas

["Krisztian Szucs (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-2136?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Krisztian Szucs resolved ARROW-2136.
------------------------------------
    Resolution: Fixed

Issue resolved by pull request 4683
[https://github.com/apache/arrow/pull/4683]

> [Python] Non-nullable schema fields not checked in conversions from pandas
> --------------------------------------------------------------------------
>
>                 Key: ARROW-2136
>                 URL: https://issues.apache.org/jira/browse/ARROW-2136
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 0.8.0
>            Reporter: Matthew Gilbert
>            Assignee: Wes McKinney
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 0.14.0
>
>          Time Spent: 0.5h
>  Remaining Estimate: 0h
>
> If you provide a schema with {{nullable=False}} but pass a {{DataFrame}} which in fact has nulls it appears the schema is ignored? I would expect an error here.
> {code}
> import pyarrow as pa
> import pandas as pd
> df = pd.DataFrame({"a":[1.2, 2.1, pd.np.NaN]})
> schema = pa.schema([pa.field("a", pa.float64(), nullable=False)])
> table = pa.Table.from_pandas(df, schema=schema)
> table[0]
> <pyarrow.lib.Column object at 0x7f213bf2fb70>
> chunk 0: <pyarrow.lib.DoubleArray object at 0x7f213bf20ea8>
> [
>   1.2,
>   2.1,
>   NA
> ]
> {code}



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