def METHOD_NAME():
    dict_kpi = {
        KPI_COST_MATRIX: pd.DataFrame(columns=["A", "B", "C"]),
        KPI_SCALAR_MATRIX: pd.DataFrame(columns=["D", "E", "F", "G"]),
    }
    dict_asset = {
        "A": 3.551111,
        "B": "str",
        "D": None,
        "E": {VALUE: 2},
        "F": False,
        "G": {VALUE: None},  # Returns empty cell
        "H": 1,
    }
    E0.store_result_matrix(dict_kpi, dict_asset)
    assert len(dict_kpi[KPI_COST_MATRIX]) == 1
    assert len(dict_kpi[KPI_SCALAR_MATRIX]) == 1
    assert dict_kpi[KPI_COST_MATRIX]["A"][0] == 3.55111
    assert dict_kpi[KPI_COST_MATRIX]["B"][0] == "str"
    assert dict_kpi[KPI_SCALAR_MATRIX]["D"][0] is None
    assert dict_kpi[KPI_SCALAR_MATRIX]["E"][0] == 2
    assert dict_kpi[KPI_SCALAR_MATRIX]["F"][0] is False