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Posted to issues@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2019/02/06 04:26:00 UTC
[jira] [Updated] (ARROW-2136) [Python] Non-nullable schema fields
not checked in conversions from pandas
[ https://issues.apache.org/jira/browse/ARROW-2136?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wes McKinney updated ARROW-2136:
--------------------------------
Fix Version/s: 0.13.0
> [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
> Priority: Major
> Fix For: 0.13.0
>
>
> 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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