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
metadata
attribute.
- 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
TabularMSA
constructor’s default.Examples
Create a
TabularMSA
object 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')