Python merge_seqs Beispiele

Beispiel #1

Datei: test_merge.py Projekt: jakereps/q2-feature-table

 def test_merge_seqs(self):
     d1 = pd.Series([skbio.DNA('ACGT', metadata={'id': 'abc'}),
                     skbio.DNA('ACCT', metadata={'id': 'xyz'})],
                    index=['f1', 'f2'])
     d2 = pd.Series([skbio.DNA('ACGT', metadata={'id': 'abc'}),
                     skbio.DNA('ACCA', metadata={'id': 'wxy'})],
                    index=['f1', 'f3'])
     obs = merge_seqs([d1, d2])
     exp = pd.Series([skbio.DNA('ACGT', metadata={'id': 'abc'}),
                      skbio.DNA('ACCT', metadata={'id': 'xyz'}),
                      skbio.DNA('ACCA', metadata={'id': 'wxy'})],
                     index=['f1', 'f2', 'f3'])
     pdt.assert_series_equal(obs, exp)

Beispiel #2

Datei: test_merge.py Projekt: qiime2/q2-feature-table

 def test_merge_seqs(self):
     d1 = pd.Series([skbio.DNA('ACGT', metadata={'id': 'abc'}),
                     skbio.DNA('ACCT', metadata={'id': 'xyz'})],
                    index=['f1', 'f2'])
     d2 = pd.Series([skbio.DNA('ACGT', metadata={'id': 'abc'}),
                     skbio.DNA('ACCA', metadata={'id': 'wxy'})],
                    index=['f1', 'f3'])
     obs = merge_seqs([d1, d2])
     exp = pd.Series([skbio.DNA('ACGT', metadata={'id': 'abc'}),
                      skbio.DNA('ACCT', metadata={'id': 'xyz'}),
                      skbio.DNA('ACCA', metadata={'id': 'wxy'})],
                     index=['f1', 'f2', 'f3'])
     pdt.assert_series_equal(obs, exp)