datascience.tables.Table.exclude

Table.exclude()

Return a new Table without a sequence of rows excluded by number.

Args:

row_indices_or_slice (integer or list of integers or slice):

The row index, list of row indices or a slice of row indices to be excluded.

Returns:

A new instance of Table.

>>> t = Table().with_columns(
...     'letter grade', make_array('A+', 'A', 'A-', 'B+', 'B', 'B-'),
...     'gpa', make_array(4, 4, 3.7, 3.3, 3, 2.7))
>>> t
letter grade | gpa
A+           | 4
A            | 4
A-           | 3.7
B+           | 3.3
B            | 3
B-           | 2.7
>>> t.exclude(4)
letter grade | gpa
A+           | 4
A            | 4
A-           | 3.7
B+           | 3.3
B-           | 2.7
>>> t.exclude(-1)
letter grade | gpa
A+           | 4
A            | 4
A-           | 3.7
B+           | 3.3
B            | 3
>>> t.exclude(make_array(1, 3, 4))
letter grade | gpa
A+           | 4
A-           | 3.7
B-           | 2.7
>>> t.exclude(range(3))
letter grade | gpa
B+           | 3.3
B            | 3
B-           | 2.7
>>> t.exclude(0, 2)
letter grade | gpa
A            | 4
B+           | 3.3
B            | 3
B-           | 2.7

Note that exclude also supports NumPy-like indexing and slicing:

>>> t.exclude[:3]
letter grade | gpa
B+           | 3.3
B            | 3
B-           | 2.7

>>> t.exclude[1, 3, 4]
letter grade | gpa
A+           | 4
A-           | 3.7
B-           | 2.7