Download notebook

import mario

db = mario.load_test("IOT")
fig, data = db.plot(
    matrix="Z", preset="overview", return_data=True,
    auto_open=False, path=False,
)
fig.show()

Result · An interactive figure and its prepared data. path=False skips HTML export; auto_open=False leaves browser opening to you.

Matrix plots and analysis plots

A matrix

Start with db.plot() and a preset. Use filters and explicit axes when the full table is too large to read.

An analysis

Trade analysis and structural paths provide their own plotting options alongside the calculated tables.

Focus on one region

fig = db.plot(
    matrix="Z", preset=None, kind="bar",
    x="Sector_from", color="Sector_to",
    filters={"Region_from": ["Reg1"], "Region_to": ["Reg1"]},
    auto_open=False, path=False,
)
fig.show()

The _from fields describe the rows; _to fields describe the columns. For a SUT use matrix U, with Commodity_from and Activity_to.

Compare scenarios in the same figure

Once a second scenario exists:

fig = db.plot(
    matrix="Z", scenarios=["alternative"],
    base_scenario="baseline", difference="relative",
    preset="heatmap", auto_open=False, path=False,
)

Create it with Apply shocks and compare scenarios.

See db.plot() for presets, axis mappings, filters and export arguments.