datascience.tables.Table.select¶
-
Table.
select
(column_label_or_labels)[source]¶ Return a Table with selected column or columns by label or index.
- Args:
column_label_or_labels
(string or list of strings): The header names or indices of the columns to be selected.column_label_or_labels
must be an existing header name, or a valid column index.- Returns:
- An instance of
Table
containing only selected columns.
>>> t = Table().with_columns([ ... 'burgers', ['cheeseburger', 'hamburger', 'veggie burger'], ... 'prices', [6, 5, 5], ... 'calories', [743, 651, 582]]) >>> t burgers | prices | calories cheeseburger | 6 | 743 hamburger | 5 | 651 veggie burger | 5 | 582 >>> t.select(['burgers', 'calories']) burgers | calories cheeseburger | 743 hamburger | 651 veggie burger | 582 >>> t.select('prices') prices 6 5 5 >>> t.select(1) prices 6 5 5 >>> t.select([2, 0]) calories | burgers 743 | cheeseburger 651 | hamburger 582 | veggie burger