def test_apply_column():
    result = compute(t.amount.apply(np.sum, 'real'), df)
    expected = np.sum(df['amount'])
    assert result == expected

    result = compute(t.amount.apply(builtins.sum, 'real'), df)
    expected = builtins.sum(df['amount'])
    assert result == expected
Exemple #2
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def test_apply_column():
    result = compute(t.amount.apply(np.sum, 'real'), df)
    expected = np.sum(df['amount'])
    assert result == expected

    result = compute(t.amount.apply(builtins.sum, 'real'), df)
    expected = builtins.sum(df['amount'])
    assert result == expected
Exemple #3
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def test_apply_column():
    result = compute(Apply(np.sum, t['amount']), df)
    expected = np.sum(df['amount'])

    assert str(result) == str(expected)

    result = compute(Apply(builtins.sum, t['amount']), df)
    expected = builtins.sum(df['amount'])

    assert str(result) == str(expected)
Exemple #4
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def test_apply_column():
    result = compute(Apply(t['amount'], np.sum), df)
    expected = np.sum(df['amount'])

    assert str(result) == str(expected)

    result = compute(Apply(t['amount'], builtins.sum), df)
    expected = builtins.sum(df['amount'])

    assert str(result) == str(expected)