Exemple #1
0
    Fixture with a Series with a 2-level MultiIndex.
    """
    arrays = [
        ["bar", "bar", "baz", "baz", "qux", "qux", "foo", "foo"],
        ["one", "two", "one", "two", "one", "two", "one", "two"],
    ]
    tuples = zip(*arrays)
    index = MultiIndex.from_tuples(tuples)
    data = np.random.randn(8)
    ser = Series(data, index=index)
    ser[3] = np.NaN
    return ser


_narrow_series = {
    f"{dtype.__name__}-series": tm.make_rand_series(name="a", dtype=dtype)
    for dtype in tm.NARROW_NP_DTYPES
}


_index_or_series_objs = {**indices_dict, **_series, **_narrow_series}


@pytest.fixture(params=_index_or_series_objs.keys())
def index_or_series_obj(request):
    """
    Fixture for tests on indexes, series and series with a narrow dtype
    copy to avoid mutation, e.g. setting .name
    """
    return _index_or_series_objs[request.param].copy(deep=True)
Exemple #2
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def test_memory_usage_components_narrow_series(dtype):
    series = tm.make_rand_series(name="a", dtype=dtype)
    total_usage = series.memory_usage(index=True)
    non_index_usage = series.memory_usage(index=False)
    index_usage = series.index.memory_usage()
    assert total_usage == non_index_usage + index_usage