class MyTestCase(unittest.TestCase):
def setUp(self) -> None:
self.statistics = Statistics('Tests/Data/UnitTestStats.csv')
def test_instantiate_calculator(self):
self.assertIsInstance(self.statistics, Statistics)
def test_population_mean_statistics(self):
for row in self.test_answer:
pprint(row["mean"])
self.assertEqual(self.statistics.population_mean(self.column1),
float(row['mean']))
self.assertEqual(self.statistics.result, float(row['mean']))
def test_median_statistics(self):
for row in self.test_answer:
pprint(row["median"])
self.assertEqual(self.statistics.median(self.column1),
float(row['median']))
self.assertEqual(self.statistics.result, float(row['median']))
def test_mode_statistics(self):
for row in self.test_answer:
pprint(row["mode"])
self.assertEqual(self.statistics.mode(self.column1),
float(row['mode']))
self.assertEqual(self.statistics.result, float(row['mode']))
def test_standard_deviation_statistics(self):
for row in self.test_answer:
pprint(row["stddev"])
self.assertEqual(self.statistics.stddev(self.column1),
float(row['stddev']))
self.assertEqual(self.statistics.result, float(row['stddev']))
def test_proportion_variance_statistics(self):
for row in self.test_answer:
pprint(row['proportion_variance'])
self.assertEqual(
self.statistics.population_proportion_variance(self.column1),
float(row['proportion_variance']))
self.assertEqual(self.statistics.result,
float(row['proportion_variance']))
def test_variance_statistics(self):
for row in self.test_answer:
pprint(row['variance'])
self.assertEqual(self.statistics.variance(self.column1),
float(row['variance']))
self.assertEqual(self.statistics.result, float(row['variance']))
def test_correlation_statistics(self):
for row in self.test_answer:
pprint(row['correlation'])
self.assertEqual(
self.statistics.correlation_coefficient(self.column1,
self.column2),
float(row['correlation']))
self.assertEqual(self.statistics.result, float(row['correlation']))
def test_zscore_statistics(self):
self.assertEqual(self.statistics.zscore(self.column1),
self.column_zscore)
self.assertEqual(self.statistics.result, self.column_zscore)
def test_pvalue_statistics(self):
self.assertEqual(self.statistics.p_value(self.column1),
self.column_zscore)
self.assertEqual(self.statistics.result, self.column_zscore)
def test_proportion_statistics(self):
self.assertEqual(self.statistics.proportion(self.column1),
self.column_proportion)
self.assertEqual(self.statistics.result, self.column_proportion)
def test_confidence_interval(self):
for row in self.test_answer:
pprint(row['ci_top'])
pprint(row['ci_bottom'])
self.assertEqual(self.statistics.confidence_interval_top(self.column1),
float(row['ci_top']))
self.assertEqual(
self.statistics.confidence_interval_bottom(self.column1),
float(row['ci_bottom']))
def test_sample_mean_statistics(self):
for row in self.sample_answer:
pprint(row["mean"])
self.assertEqual(self.statistics.sample_mean(self.column3),
float(row['mean']))
self.assertEqual(self.statistics.result, float(row['mean']))
def test_sample_standard_deviation_statistics(self):
for row in self.sample_answer:
pprint(row["stddev"])
self.assertEqual(self.statistics.sample_stddev(self.column3),
float(row['stddev']))
self.assertEqual(self.statistics.result, float(row['stddev']))
def test_sample_variance_statistics(self):
for row in self.sample_answer:
pprint(row['variance'])
self.assertEqual(self.statistics.sample_variance(self.column3),
float(row['variance']))
self.assertEqual(self.statistics.result, float(row['variance']))
class MyTestCase(unittest.TestCase):
test_data = CsvReader('Tests/Data/TestData.csv').data
column1 = [int(row['Value 1']) for row in test_data]
column2 = [int(row[' Value 2']) for row in test_data]
print(column1)
print(column2)
p_answers = CsvReader('Tests/Data/Test_Proportion.csv').data
z_answers = CsvReader('Tests/Data/Test_ZScores.csv').data
column_proportion = [float(row['Proportion']) for row in p_answers]
column_z_score = [float(row['Z-Score']) for row in z_answers]
test_answer = CsvReader('Tests/Data/UnitTestStatsAnswers.csv').data
sample_data = CsvReader('Tests/Data/Test_Data_Sample.csv').data
column3 = [int(row['sample']) for row in sample_data]
sample_answer = CsvReader('Tests/Data/UnitTestSampleAnswers.csv').data
def setUp(self) -> None:
self.statistics = Statistics()
def test_instantiate_calculator(self):
self.assertIsInstance(self.statistics, Statistics)
def test_decorator_calculator(self):
self.assertIsInstance(self.statistics, Statistics)
def test_population_mean_statistics(self):
for row in self.test_answer:
pprint(row["mean"])
self.assertEqual(self.statistics.population_mean(self.column1),
float(row['mean']))
self.assertEqual(self.statistics.result, float(row['mean']))
def test_median_statistics(self):
for row in self.test_answer:
pprint(row["median"])
self.assertEqual(self.statistics.median(self.column1),
float(row['median']))
self.assertEqual(self.statistics.result, float(row['median']))
def test_mode_statistics(self):
for row in self.test_answer:
pprint(row["mode"])
self.assertEqual(self.statistics.mode(self.column1),
float(row['mode']))
self.assertEqual(self.statistics.result, float(row['mode']))
def test_standard_deviation_statistics(self):
for row in self.test_answer:
pprint(row["stddev"])
self.assertEqual(self.statistics.stddev(self.column1),
float(row['stddev']))
self.assertEqual(self.statistics.result, float(row['stddev']))
def test_variance_statistics(self):
for row in self.test_answer:
pprint(row['variance'])
self.assertEqual(self.statistics.variance(self.column1),
float(row['variance']))
self.assertEqual(self.statistics.result, float(row['variance']))
def test_correlation_statistics(self):
for row in self.test_answer:
pprint(row['correlation'])
self.assertEqual(
self.statistics.correlation_coefficient(self.column1,
self.column2),
float(row['correlation']))
self.assertEqual(self.statistics.result, float(row['correlation']))
def test_zscore_statistics(self):
self.assertEqual(self.statistics.zscore(self.column1),
self.column_z_score)
self.assertEqual(self.statistics.result, self.column_z_score)
def test_pvalue_statistics(self):
self.assertEqual(self.statistics.p_value(self.column1),
self.column_z_score)
self.assertEqual(self.statistics.result, self.column_z_score)
def test_proportion_statistics(self):
self.assertEqual(self.statistics.proportion(self.column1),
self.column_proportion)
self.assertEqual(self.statistics.result, self.column_proportion)
def test_confidence_interval(self):
for row in self.test_answer:
pprint(row['ci_top'])
pprint(row['ci_bottom'])
self.assertEqual(self.statistics.confidence_interval_top(self.column1),
float(row['ci_top']))
self.assertEqual(
self.statistics.confidence_interval_bottom(self.column1),
float(row['ci_bottom']))
def test_sample_mean_statistics(self):
for row in self.sample_answer:
pprint(row["mean"])
self.assertEqual(self.statistics.sample_mean(self.column3),
float(row['mean']))
self.assertEqual(self.statistics.result, float(row['mean']))
def test_sample_standard_deviation_statistics(self):
for row in self.sample_answer:
pprint(row["stddev"])
self.assertEqual(self.statistics.sample_stddev(self.column3),
float(row['stddev']))
self.assertEqual(self.statistics.result, float(row['stddev']))
def test_sample_variance_statistics(self):
for row in self.sample_answer:
pprint(row['variance'])
self.assertEqual(self.statistics.sample_variance(self.column3),
float(row['variance']))
self.assertEqual(self.statistics.result, float(row['variance']))