def test_evaluate_taxonomy_real_live_taxonomies_unite_rank_handle(self):
exp = pd.DataFrame({
'Unique Labels': {
1: 6.0, 2: 8.0, 3: 8.0, 4: 9.0, 5: 9.0, 6: 9.0, 7: 9.0},
'Taxonomic Entropy': {1: 1.6769877743224173, 2: 2.0431918705451206,
3: 2.0431918705451206, 4: 2.1972245773362196,
5: 2.1972245773362196, 6: 2.1972245773362196,
7: 2.1972245773362196},
'Number of Features Terminating at Depth': {
1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 1, 7: 7},
'Proportion of Features Terminating at Depth': {
1: 0.0, 2: 0.0, 3: 0.0, 4: 0.0, 5: 0.0, 6: 0.1111111111111111,
7: 0.7777777777777778},
'Number of Features Classified at Depth': {
1: 8, 2: 8, 3: 8, 4: 8, 5: 8, 6: 8, 7: 7},
'Proportion of Features Classified at Depth': {
1: 0.8888888888888888, 2: 0.8888888888888888,
3: 0.8888888888888888, 4: 0.8888888888888888,
5: 0.8888888888888888, 6: 0.8888888888888888,
7: 0.7777777777777778},
'Number of Features Unclassified at Depth': {
1: 1, 2: 1, 3: 1, 4: 1, 5: 1, 6: 1, 7: 2},
'Proportion of Features Unclassified at Depth': {
1: 0.1111111111111111, 2: 0.1111111111111111,
3: 0.1111111111111111, 4: 0.1111111111111111,
5: 0.1111111111111111, 6: 0.1111111111111111,
7: 0.2222222222222222}})
obs = evaluate._evaluate_taxonomy(
self.taxa, rank_handle_regex='^[dkpcofgs]__unidentified')
pdt.assert_frame_equal(obs, exp, check_names=False)
def test_evaluate_taxonomy_real_live_taxonomies_no_rank_handle(self):
exp = pd.DataFrame({
'Unique Labels': {
1: 6.0, 2: 8.0, 3: 8.0, 4: 9.0, 5: 9.0, 6: 9.0, 7: 9.0},
'Taxonomic Entropy': {1: 1.6769877743224173, 2: 2.0431918705451206,
3: 2.0431918705451206, 4: 2.1972245773362196,
5: 2.1972245773362196, 6: 2.1972245773362196,
7: 2.1972245773362196},
'Number of Features Terminating at Depth': {
1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0, 7: 9},
'Proportion of Features Terminating at Depth': {
1: 0.0, 2: 0.0, 3: 0.0, 4: 0.0, 5: 0.0, 6: 0.0, 7: 1.0},
'Number of Features Classified at Depth': {
1: 9, 2: 9, 3: 9, 4: 9, 5: 9, 6: 9, 7: 9},
'Proportion of Features Classified at Depth': {
1: 1.0, 2: 1.0, 3: 1.0, 4: 1.0, 5: 1.0, 6: 1.0, 7: 1.0},
'Number of Features Unclassified at Depth': {
1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0, 7: 0},
'Proportion of Features Unclassified at Depth': {
1: 0.0, 2: 0.0, 3: 0.0, 4: 0.0, 5: 0.0, 6: 0.0, 7: 0.0}})
obs = evaluate._evaluate_taxonomy(self.taxa, rank_handle_regex=None)
pdt.assert_frame_equal(obs, exp, check_names=False)