[ https://issues.apache.org/jira/browse/ARROW-12970?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joris Van den Bossche updated ARROW-12970: ------------------------------------------ Summary: [Python] efficient "row accessor" for a pyarrow Table (was: efficient "row accessor" for a pyarrow Table) > [Python] efficient "row accessor" for a pyarrow Table > ----------------------------------------------------- > > Key: ARROW-12970 > URL: https://issues.apache.org/jira/browse/ARROW-12970 > Project: Apache Arrow > Issue Type: New Feature > Components: Python > Reporter: Luke Higgins > Priority: Minor > > It would be nice to have a nice row accessor for a Table akin to > pandas.DataFrame.itertuples. > I have a lot of code where I am converting a parquet file to pandas just to > have access to the rows through iterating with itertuples. Having this > ability in pyarrow natively would be a nice feature and would avoid memory > copy in the pandas conversion. -- This message was sent by Atlassian Jira (v8.3.4#803005)