Ejemplo n.º 1
0
def test_traverse():
    t = TableSymbol('t', '{name: string, amount: int}')
    assert t in list(t.traverse())

    expr = t[t['amount'] < 0]['name']
    trav = list(expr.traverse())
    assert any(t['amount'].isidentical(x) for x in trav)
    assert any((t['amount'] < 0).isidentical(x) for x in trav)
Ejemplo n.º 2
0
def test_reductions():
    assert compute(sum(t['amount']), data) == 100 + 200 + 50
    assert compute(min(t['amount']), data) == 50
    assert compute(max(t['amount']), data) == 200
    assert compute(nunique(t['amount']), data) == 3
    assert compute(nunique(t['name']), data) == 2
    assert compute(count(t['amount']), data) == 3
    assert compute(any(t['amount'] > 150), data) is True
    assert compute(any(t['amount'] > 250), data) is False
Ejemplo n.º 3
0
def test_reductions():
    assert compute(sum(t['amount']), data) == 100 + 200 + 50
    assert compute(min(t['amount']), data) == 50
    assert compute(max(t['amount']), data) == 200
    assert compute(nunique(t['amount']), data) == 3
    assert compute(nunique(t['name']), data) == 2
    assert compute(count(t['amount']), data) == 3
    assert compute(any(t['amount'] > 150), data) is True
    assert compute(any(t['amount'] > 250), data) is False
Ejemplo n.º 4
0
def test_reductions():
    assert compute(mean(t['amount']), df) == 350./3
    assert compute(count(t['amount']), df) == 3
    assert compute(sum(t['amount']), df) == 100 + 200 + 50
    assert compute(min(t['amount']), df) == 50
    assert compute(max(t['amount']), df) == 200
    assert compute(nunique(t['amount']), df) == 3
    assert compute(nunique(t['name']), df) == 2
    assert compute(any(t['amount'] > 150), df) == True
    assert compute(any(t['amount'] > 250), df) == False
    assert compute(var(t['amount']), df) == df.amount.var(ddof=0)
    assert compute(var(t['amount'], unbiased=True), df) == df.amount.var()
    assert compute(std(t['amount']), df) == df.amount.std(ddof=0)
    assert compute(std(t['amount'], unbiased=True), df) == df.amount.std()