Joris Van den Bossche created ARROW-8314: --------------------------------------------
Summary: [Python] Provide a method to select a subset of columns of a Table Key: ARROW-8314 URL: https://issues.apache.org/jira/browse/ARROW-8314 Project: Apache Arrow Issue Type: New Feature Components: Python Reporter: Joris Van den Bossche I looked through the open issues and in our API, but didn't directly find something about selecting a subset of columns of a table. Assume you have a table like: {code} table = pa.table({'a': [1, 2], 'b': [.1, .2], 'c': ['a', 'b']}) {code} You can select a single column with {{table.column('a')}} or {{table['a']}} to get a chunked array. You can add, append, remove and replace columns (with {{add_column}}, {{append_column}}, {{remove_column}}, {{set_column}}). But an easy way to get a subset of the columns (without the manuall removing the ones you don't want one by one) doesn't seem possible. I would propose something like: {code} table.select(['a', 'c']) {code} -- This message was sent by Atlassian Jira (v8.3.4#803005)