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

2019-06-24 Thread ASF GitHub Bot (JIRA) 


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

ASF GitHub Bot updated ARROW-2136:
--
Labels: pull-request-available  (was: )

> [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
>
>
> 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]
> 
> chunk 0: 
> [
>   1.2,
>   2.1,
>   NA
> ]
> {code}



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

2019-03-11 Thread Wes McKinney (JIRA) 


 [ 
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: (was: 0.13.0)
   0.14.0

> [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: 0.14.0
>
>
> 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]
> 
> chunk 0: 
> [
>   1.2,
>   2.1,
>   NA
> ]
> {code}



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

2019-02-05 Thread Wes McKinney (JIRA) 


 [ 
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]
> 
> chunk 0: 
> [
>   1.2,
>   2.1,
>   NA
> ]
> {code}



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

2018-02-12 Thread Wes McKinney (JIRA) 

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

Wes McKinney updated ARROW-2136:

Summary: [Python] Non-nullable schema fields not checked in conversions 
from pandas  (was: Non nullable schema ignored)

> [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
>
> 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]
> 
> chunk 0: 
> [
>   1.2,
>   2.1,
>   NA
> ]
> {code}



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