Function test_where_mask

dask/dataframe/tests/test_dataframe.py:832–902

()

def test_where_mask():
    pdf1 = pd.DataFrame(
        {"a": [1, 2, 3, 4, 5, 6, 7, 8, 9], "b": [3, 5, 2, 5, 7, 2, 4, 2, 4]}
    )
    ddf1 = dd.from_pandas(pdf1, 2)
    pdf2 = pd.DataFrame({"a": [True, False, True] * 3, "b": [False, False, True] * 3})
    ddf2 = dd.from_pandas(pdf2, 2)

    # different index
    pdf3 = pd.DataFrame(
        {"a": [1, 2, 3, 4, 5, 6, 7, 8, 9], "b": [3, 5, 2, 5, 7, 2, 4, 2, 4]},
        index=[0, 1, 2, 3, 4, 5, 6, 7, 8],
    )
    ddf3 = dd.from_pandas(pdf3, 2)
    pdf4 = pd.DataFrame(
        {"a": [True, False, True] * 3, "b": [False, False, True] * 3},
        index=[5, 6, 7, 8, 9, 10, 11, 12, 13],
    )
    ddf4 = dd.from_pandas(pdf4, 2)

    # different columns
    pdf5 = pd.DataFrame(
        {
            "a": [1, 2, 3, 4, 5, 6, 7, 8, 9],
            "b": [9, 4, 2, 6, 2, 3, 1, 6, 2],
            "c": [5, 6, 7, 8, 9, 10, 11, 12, 13],
        },
        index=[0, 1, 2, 3, 4, 5, 6, 7, 8],
    )
    ddf5 = dd.from_pandas(pdf5, 2)
    pdf6 = pd.DataFrame(
        {
            "a": [True, False, True] * 3,
            "b": [False, False, True] * 3,
            "c": [False] * 9,
            "d": [True] * 9,
        },
        index=[5, 6, 7, 8, 9, 10, 11, 12, 13],
    )
    ddf6 = dd.from_pandas(pdf6, 2)

    cases = [
        (ddf1, ddf2, pdf1, pdf2),
        (ddf1.repartition([0, 3, 6, 8]), ddf2, pdf1, pdf2),
        (ddf1, ddf4, pdf3, pdf4),
        (ddf3.repartition([0, 4, 6, 8]), ddf4.repartition([5, 9, 10, 13]), pdf3, pdf4),
        (ddf5, ddf6, pdf5, pdf6),
        (ddf5.repartition([0, 4, 7, 8]), ddf6, pdf5, pdf6),
        # use pd.DataFrame as cond
        (ddf1, pdf2, pdf1, pdf2),
        (ddf1, pdf4, pdf3, pdf4),
        (ddf5, pdf6, pdf5, pdf6),
    ]

    for ddf, ddcond, pdf, pdcond in cases:
        assert isinstance(ddf, dd.DataFrame)
        assert isinstance(ddcond, (dd.DataFrame, pd.DataFrame))
        assert isinstance(pdf, pd.DataFrame)