Ejemplos de duplicated en Python

Ejemplo n.º 1

Archivo: test_tseries.py Proyecto: kfatyas/pandas

def test_duplicated_with_nas():
    keys = [0, 1, np.nan, 0, 2, np.nan]

    result = lib.duplicated(keys)
    expected = [False, False, False, True, False, True]
    assert (np.array_equal(result, expected))

    result = lib.duplicated(keys, take_last=True)
    expected = [True, False, True, False, False, False]
    assert (np.array_equal(result, expected))

    keys = [(0, 0), (0, np.nan), (np.nan, 0), (np.nan, np.nan)] * 2

    result = lib.duplicated(keys)
    falses = [False] * 4
    trues = [True] * 4
    expected = falses + trues
    assert (np.array_equal(result, expected))

    result = lib.duplicated(keys, take_last=True)
    expected = trues + falses
    assert (np.array_equal(result, expected))

Ejemplo n.º 2

Archivo: test_tseries.py Proyecto: gwtaylor/pandas

def test_duplicated_with_nas():
    keys = [0, 1, np.nan, 0, 2, np.nan]

    result = lib.duplicated(keys)
    expected = [False, False, False, True, False, True]
    assert(np.array_equal(result, expected))

    result = lib.duplicated(keys, take_last=True)
    expected = [True, False, True, False, False, False]
    assert(np.array_equal(result, expected))

    keys = [(0, 0), (0, np.nan), (np.nan, 0), (np.nan, np.nan)] * 2

    result = lib.duplicated(keys)
    falses = [False] * 4
    trues = [True] * 4
    expected = falses + trues
    assert(np.array_equal(result, expected))

    result = lib.duplicated(keys, take_last=True)
    expected = trues + falses
    assert(np.array_equal(result, expected))

Ejemplo n.º 3

Archivo: test_tseries.py Proyecto: andreas-h/pandas

def test_duplicated_with_nas():
    keys = np.array([0, 1, nan, 0, 2, nan], dtype=object)

    result = lib.duplicated(keys)
    expected = [False, False, False, True, False, True]
    assert(np.array_equal(result, expected))

    result = lib.duplicated(keys, take_last=True)
    expected = [True, False, True, False, False, False]
    assert(np.array_equal(result, expected))

    keys = np.empty(8, dtype=object)
    for i, t in enumerate(zip([0, 0, nan, nan]*2, [0, nan, 0, nan]*2)):
        keys[i] = t

    result = lib.duplicated(keys)
    falses = [False] * 4
    trues = [True] * 4
    expected = falses + trues
    assert(np.array_equal(result, expected))

    result = lib.duplicated(keys, take_last=True)
    expected = trues + falses
    assert(np.array_equal(result, expected))