[ 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)