skbio.alignment.TabularMSA.reassign_index#
- TabularMSA.reassign_index(mapping=None, minter=None)[source]#
- Reassign index labels to sequences in this MSA. - Parameters:
- mappingdict or callable, optional
- Dictionary or callable that maps existing labels to new labels. Any label without a mapping will remain the same. 
- mintercallable or metadata key, optional
- If provided, defines an index label for each sequence. Can either be a callable accepting a single argument (each sequence) or a key into each sequence’s - metadataattribute.
 
- Raises:
- ValueError
- If mapping and minter are both provided. 
 
 - See also - Notes - If neither mapping nor minter are provided, index labels will be reset to the - TabularMSAconstructor’s default.- Examples - Create a - TabularMSAobject with default index labels:- >>> from skbio import DNA, TabularMSA >>> seqs = [DNA('ACG', metadata={'id': 'a'}), ... DNA('AC-', metadata={'id': 'b'}), ... DNA('CCG', metadata={'id': 'c'})] >>> msa = TabularMSA(seqs) >>> msa.index RangeIndex(start=0, stop=3, step=1) - Assign new index to the MSA using each sequence’s ID as a label: - >>> msa.reassign_index(minter='id') >>> msa.index Index(['a', 'b', 'c'], dtype='object') - Assign default index: - >>> msa.reassign_index() >>> msa.index RangeIndex(start=0, stop=3, step=1) - Alternatively, a mapping of existing labels to new labels may be passed via mapping: - >>> msa.reassign_index(mapping={0: 'seq1', 1: 'seq2'}) >>> msa.index Index(['seq1', 'seq2', 2], dtype='object')