def test_numeric_summary():
df = pd.DataFrame({'Age' : [10, 12, 14], 'Group' : ['A', 'B', 'B'] })
summ = analyses.summary(df.Age)
assert summ['count'] == 3
assert summ['missing'] == 0
assert summ['min'] == 10
assert summ['median'] == 12
assert summ['mean'] == 12
assert summ['std'] == 2
assert summ['max'] == 14
def test_grouped_summary():
df = pd.DataFrame({'Age' : [10, 12, 14], 'Group' : ['A', 'B', 'B'] })
summ = analyses.summary(df.Age, df.Group)
assert len(summ) == 2
assert len(summ.columns) == 7
def test_categorical_summary():
df = pd.DataFrame({'Age' : [10, 12, 14], 'Group' : ['A', 'B', 'B'] })
summ = analyses.summary(df.Group)
assert summ.ix[0]['count'] == 2
assert np.allclose(summ.ix[0]['freq'], 2/3, atol=.01)
