datascience.tables.Table.to_array

Table.to_array()

Convert the table to a structured NumPy array.

The resulting array contains a sequence of rows from the table.

Args:

None

Returns:

arr: a NumPy array

The following is an example of calling to_array() >>> t = Table().with_columns([ … ‘letter’, [‘a’,’b’,’c’,’z’], … ‘count’, [9,3,3,1], … ‘points’, [1,2,2,10], … ])

>>> t
letter | count | points
a      | 9     | 1
b      | 3     | 2
c      | 3     | 2
z      | 1     | 10

>>> example = t.to_array()

>>> example
array([('a', 9,  1), ('b', 3,  2), ('c', 3,  2), ('z', 1, 10)],
dtype=[('letter', '<U1'), ('count', '<i8'), ('points', '<i8')])

>>> example['letter']
array(['a', 'b', 'c', 'z'],
dtype='<U1')