skbio.table.Table.group_metadata#

Table.group_metadata(axis='sample')[source]#

Return the group metadata of the given axis

Parameters:
axis{‘sample’, ‘observation’}, optional

Axis to search for the group metadata. Defaults to ‘sample’

Returns:
dict

The corresponding group metadata for the given axis

Raises:
UnknownAxisError

If provided an unrecognized axis.

Examples

>>> import numpy as np
>>> from biom.table import Table

Create a 2x3 BIOM table, with group observation metadata and no group sample metadata:

>>> data = np.asarray([[0, 0, 1], [1, 3, 42]])
>>> group_observation_md = {'tree': ('newick', '(O1:0.3,O2:0.4);')}
>>> table = Table(data, ['O1', 'O2'], ['S1', 'S2', 'S3'],
...               observation_group_metadata=group_observation_md)

Get the observation group metadata:

>>> table.group_metadata(axis='observation')
{'tree': ('newick', '(O1:0.3,O2:0.4);')}

Get the sample group metadata:

>> table.group_metadata() None