def test_domain_basic_stats(self):
domain = self.zoo.domain
attr_stats = [BasicStats(self.zoo, a) for a in domain.attributes]
class_var_stats = [BasicStats(self.zoo, a) for a in domain.class_vars]
meta_stats = [BasicStats(self.zoo, a) for a in domain.metas]
domain_stats = DomainBasicStats(self.zoo)
self.assertStatsEqual(domain_stats.stats, attr_stats + class_var_stats)
domain_stats = DomainBasicStats(self.zoo, include_metas=True)
self.assertStatsEqual(domain_stats.stats,
attr_stats + class_var_stats + meta_stats)
def test_basic_stats(self):
iris = SqlTable(self.conn, self.iris, inspect_values=True)
stats = BasicStats(iris, iris.domain['sepal length'])
self.assertAlmostEqual(stats.min, 4.3)
self.assertAlmostEqual(stats.max, 7.9)
self.assertAlmostEqual(stats.mean, 5.8, 1)
self.assertEqual(stats.nans, 0)
self.assertEqual(stats.non_nans, 150)
domain_stats = DomainBasicStats(iris, include_metas=True)
self.assertEqual(len(domain_stats.stats),
len(iris.domain) + len(iris.domain.metas))
stats = domain_stats['sepal length']
self.assertAlmostEqual(stats.min, 4.3)
self.assertAlmostEqual(stats.max, 7.9)
self.assertAlmostEqual(stats.mean, 5.8, 1)
self.assertEqual(stats.nans, 0)
self.assertEqual(stats.non_nans, 150)
def test_basic_stats_on_large_data(self):
# By setting LARGE_TABLE to 100, iris will be treated as
# a large table and sampling will be used. As the table
# is actually small, time base sampling should return
# all rows, so the same assertions can be used.
iris = SqlTable(self.conn, self.iris, inspect_values=True)
stats = BasicStats(iris, iris.domain['sepal length'])
self.assertAlmostEqual(stats.min, 4.3)
self.assertAlmostEqual(stats.max, 7.9)
self.assertAlmostEqual(stats.mean, 5.8, 1)
self.assertEqual(stats.nans, 0)
self.assertEqual(stats.non_nans, 150)
domain_stats = DomainBasicStats(iris, include_metas=True)
self.assertEqual(len(domain_stats.stats),
len(iris.domain) + len(iris.domain.metas))
stats = domain_stats['sepal length']
self.assertAlmostEqual(stats.min, 4.3)
self.assertAlmostEqual(stats.max, 7.9)
self.assertAlmostEqual(stats.mean, 5.8, 1)
self.assertEqual(stats.nans, 0)
self.assertEqual(stats.non_nans, 150)