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import mario

db = mario.load_test("IOT")
footprint = db.query("f")

Result · A DataFrame of total satellite footprints per unit of sector output. Rows are satellite accounts; columns identify region and sector.

Choose the quantity

Quantity	IOT	SUT
Production	X	Xa, Xc
Direct technical coefficients	z	u, s
Total satellite footprint coefficients	f	fa, fc

Use the matrix catalogue for all definitions and axes. In a hybrid model, each output keeps its native unit.

Calculate several targets

db.calc_all(["X", "z", "f"])
db.list_matrices(scenario="baseline")

By default, the runtime stores the requested targets. Dependencies may be calculated internally without being retained as extra matrices.

Work on another scenario

db.clone_scenario("baseline", "alternative")
alternative = db.query("f", scenarios="alternative")

See Apply shocks and compare scenarios to change that scenario.

Choose a calculation route for one request

result = db.resolve(
    "f",
    force_rewrite=True,
    compute_options=mario.ComputeOptions(
        planning_override="prefer_direct_targets",
    ),
)

Direct solves can avoid constructing a full inverse. Asking for the inverse itself still requires its output storage. Read Computation settings for memory, solver selection, singular systems and session-wide defaults.

For a combined climate indicator, characterize the gases before selecting the GHG row of f.