[
https://issues.apache.org/jira/browse/ARROW-1074?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Uwe L. Korn resolved ARROW-1074.
--------------------------------
Resolution: Fixed
Issue resolved by pull request 825
[https://github.com/apache/arrow/pull/825]
> from_pandas doesnt convert ndarray to list
> ------------------------------------------
>
> Key: ARROW-1074
> URL: https://issues.apache.org/jira/browse/ARROW-1074
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.4.0
> Reporter: Abdul Rahman
> Assignee: Florian Jetter
> Priority: Minor
> Labels: pyarrow
>
> [Feel free to change issue type because this is probably by design]
> I have noticed that that if the one of the columns in the parquet file is of
> type array, pyarrow table stores it as list
> >>> table[3].type
> DataType(list<element: string>)
> If I do a .to_pandas() on the column, I get something like this
> >> table[3].to_pandas()
> 0 None
>
> 1 [7]
>
> 2 [46]
> dtype: object
> However, I cant do a pyarrow.Table.from_pandas from a dataframe having the
> above ndarray as a series/column. I get this error
> Invalid: Python object of type ndarray is not None and is not a string, bool,
> float, int, date,
> decimal object
> If to_pandas() can covert a list to ndarray, shouldnt from_pandas also
> convert an ndarray to type list in the table ?
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
