Ejemplo n.º 1
0
 def test_merge_taxa(self):
     # this test calls the public API directly
     d1 = pd.Series(['a;b;c;d', 'a;b;c;e'], index=['f1', 'f2'])
     d2 = pd.Series(['a;b;c;d', 'a;b;c;e'], index=['f1', 'f3'])
     obs = merge_taxa([d1, d2])
     exp = pd.Series(['a;b;c;d', 'a;b;c;e', 'a;b;c;e'],
                     index=['f1', 'f2', 'f3'])
     pdt.assert_series_equal(obs, exp)
Ejemplo n.º 2
0
 def test_merge_taxa(self):
     # this test calls the public API directly
     d1 = pd.Series(['a;b;c;d', 'a;b;c;e'], index=['f1', 'f2'])
     d2 = pd.Series(['a;b;c;d', 'a;b;c;e'], index=['f1', 'f3'])
     obs = merge_taxa([d1, d2])
     exp = pd.Series(['a;b;c;d', 'a;b;c;e', 'a;b;c;e'],
                     index=['f1', 'f2', 'f3'])
     pdt.assert_series_equal(obs, exp)
Ejemplo n.º 3
0
 def test_merge_taxa(self):
     # this test calls the public API directly
     d1 = pd.DataFrame([('a;b;c;d', '1.0'), ('a;b;c;f', '0.7')],
                       index=['f1', 'f2'], columns=['Taxon', 'Confidence'])
     d2 = pd.DataFrame([('1.0', 'a;b;c;g'), ('1.0', 'a;b;c;e')],
                       index=['f1', 'f3'], columns=['Confidence', 'Taxon'])
     obs = merge_taxa([d1, d2])
     exp = pd.DataFrame(
         [('a;b;c;d', '1.0'), ('a;b;c;f', '0.7'), ('a;b;c;e', '1.0')],
         index=['f1', 'f2', 'f3'], columns=['Taxon', 'Confidence'])
     pdt.assert_frame_equal(obs, exp)