# datascience.tables.Table.with_rows¶

Table.with_rows(rows)[source]

Return a table with additional rows.

Args:

rows (sequence of sequences): Each row has a value per column.

If rows is a 2-d array, its shape must be (_, n) for n columns.

Raises:
ValueError: If a row length differs from the column count.
>>> tiles = Table(make_array('letter', 'count', 'points'))
>>> tiles.with_rows(make_array(make_array('c', 2, 3),
...     make_array('d', 4, 2)))
letter | count | points
c      | 2     | 3
d      | 4     | 2