Esempio n. 1
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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
Esempio n. 2
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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
Esempio n. 3
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def test_reductions():
    assert compute(mean(t['amount']), ddf) == 350 / 3
    assert compute(count(t['amount']), ddf) == 3
    assert compute(sum(t['amount']), ddf) == 100 + 200 + 50
    assert compute(min(t['amount']), ddf) == 50
    assert compute(max(t['amount']), ddf) == 200
    assert compute(var(t['amount']), ddf) == df.amount.var(ddof=0)
    assert compute(var(t['amount'], unbiased=True), ddf) == df.amount.var()
    assert compute(std(t['amount']), ddf) == df.amount.std(ddof=0)
    assert compute(std(t['amount'], unbiased=True), ddf) == df.amount.std()
Esempio n. 4
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def test_reductions():
    assert compute(mean(t['amount']), ddf) == 350 / 3.0
    assert compute(count(t['amount']), ddf) == 3
    assert compute(sum(t['amount']), ddf) == 100 + 200 + 50
    assert compute(min(t['amount']), ddf) == 50
    assert compute(max(t['amount']), ddf) == 200
    tm.assert_almost_equal(compute(var(t['amount']), ddf), df.amount.var(ddof=0))
    tm.assert_almost_equal(compute(var(t['amount'], unbiased=True), ddf), df.amount.var())
    assert compute(std(t['amount']), ddf) == df.amount.std(ddof=0)
    assert compute(std(t['amount'], unbiased=True), ddf) == df.amount.std()
Esempio n. 5
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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()
Esempio n. 6
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def test_max_min_class():
    t = TableSymbol('t', '{name: string, amount: int32}')
    assert str(max(t).dshape) == '{ name : string, amount : int32 }'
    assert str(min(t).dshape) == '{ name : string, amount : int32 }'
Esempio n. 7
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def test_max_min_class():
    t = symbol('t', 'var * {name: string, amount: int32}')
    assert str(max(t).dshape) == '{name: string, amount: int32}'
    assert str(min(t).dshape) == '{name: string, amount: int32}'
Esempio n. 8
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def test_max_min_class():
    t = TableSymbol("t", "{name: string, amount: int32}")
    assert str(max(t).dshape) == "{name: string, amount: int32}"
    assert str(min(t).dshape) == "{name: string, amount: int32}"