skbio.table.Table.data#

Table.data(id, axis='sample', dense=True)[source]#

Returns data associated with an id

Parameters:
idstr

ID of the sample or observation whose data will be returned.

axis{‘sample’, ‘observation’}

Axis to search for id.

densebool, optional

If True, return data as dense

Returns:
np.ndarray or scipy.sparse.spmatrix

np.ndarray if dense, otherwise scipy.sparse.spmatrix

Raises:
UnknownAxisError

If provided an unrecognized axis.

Examples

>>> from biom import example_table
>>> example_table.data('S1', axis='sample')
array([ 0.,  3.])