datascience.tables.Table.select

Table.select(column_label_or_labels)

Return a Table with selected column or columns by label.

Args:

column_label_or_labels (string or list of strings): The header names of the columns to be selected. column_label_or_labels must be an existing header name.

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