Beispiel #1
0
def test_lazy_functions():
    df = pl.DataFrame({
        "a": ["foo", "bar", "2"],
        "b": [1, 2, 3],
        "c": [1.0, 2.0, 3.0]
    })
    out = df[[pl.count("a")]]
    assert out[0] == 3
    assert pl.count(df["a"]) == 3
    out = df[[
        pl.var("b"),
        pl.std("b"),
        pl.max("b"),
        pl.min("b"),
        pl.sum("b"),
        pl.mean("b"),
        pl.median("b"),
        pl.n_unique("b"),
        pl.first("b"),
        pl.last("b"),
    ]]
    expected = 1.0
    assert np.isclose(out[0], expected)
    assert np.isclose(pl.var(df["b"]), expected)
    expected = 1.0
    assert np.isclose(out[1], expected)
    assert np.isclose(pl.std(df["b"]), expected)
    expected = 3
    assert np.isclose(out[2], expected)
    assert np.isclose(pl.max(df["b"]), expected)
    expected = 1
    assert np.isclose(out[3], expected)
    assert np.isclose(pl.min(df["b"]), expected)
    expected = 6
    assert np.isclose(out[4], expected)
    assert np.isclose(pl.sum(df["b"]), expected)
    expected = 2
    assert np.isclose(out[5], expected)
    assert np.isclose(pl.mean(df["b"]), expected)
    expected = 2
    assert np.isclose(out[6], expected)
    assert np.isclose(pl.median(df["b"]), expected)
    expected = 3
    assert np.isclose(out[7], expected)
    assert np.isclose(pl.n_unique(df["b"]), expected)
    expected = 1
    assert np.isclose(out[8], expected)
    assert np.isclose(pl.first(df["b"]), expected)
    expected = 3
    assert np.isclose(out[9], expected)
    assert np.isclose(pl.last(df["b"]), expected)
    expected = 3
    assert np.isclose(out[9], expected)
    assert np.isclose(pl.last(df["b"]), expected)
Beispiel #2
0
def test_lazy_functions():
    df = pl.DataFrame({
        "a": ["foo", "bar", "2"],
        "b": [1, 2, 3],
        "c": [1.0, 2.0, 3.0]
    })
    out = df[[pl.count("a")]]
    assert out["a"] == 3
    assert pl.count(df["a"]) == 3
    out = df[[
        pl.var("b"),
        pl.std("b"),
        pl.max("b"),
        pl.min("b"),
        pl.sum("b"),
        pl.mean("b"),
        pl.median("b"),
        pl.n_unique("b"),
        pl.first("b"),
        pl.last("b"),
    ]]
    expected = 1.0
    assert np.isclose(out.select_at_idx(0), expected)
    assert np.isclose(pl.var(df["b"]), expected)
    expected = 1.0
    assert np.isclose(out.select_at_idx(1), expected)
    assert np.isclose(pl.std(df["b"]), expected)
    expected = 3
    assert np.isclose(out.select_at_idx(2), expected)
    assert np.isclose(pl.max(df["b"]), expected)
    expected = 1
    assert np.isclose(out.select_at_idx(3), expected)
    assert np.isclose(pl.min(df["b"]), expected)
    expected = 6
    assert np.isclose(out.select_at_idx(4), expected)
    assert np.isclose(pl.sum(df["b"]), expected)
    expected = 2
    assert np.isclose(out.select_at_idx(5), expected)
    assert np.isclose(pl.mean(df["b"]), expected)
    expected = 2
    assert np.isclose(out.select_at_idx(6), expected)
    assert np.isclose(pl.median(df["b"]), expected)
    expected = 3
    assert np.isclose(out.select_at_idx(7), expected)
    assert np.isclose(pl.n_unique(df["b"]), expected)
    expected = 1
    assert np.isclose(out.select_at_idx(8), expected)
    assert np.isclose(pl.first(df["b"]), expected)
    expected = 3
    assert np.isclose(out.select_at_idx(9), expected)
    assert np.isclose(pl.last(df["b"]), expected)
    expected = 3
    assert np.isclose(out.select_at_idx(9), expected)
    assert np.isclose(pl.last(df["b"]), expected)