Quick Start
Every output below comes from running the code with principle-viz 0.10.0.
Solve and draw a market
Demand is P = 10 - Q and supply is P = 2 + Q. Line.from_inverse(intercept, slope) builds a line from its
inverse form P = intercept + slope * Q.
from principle_viz.core.equilibrium import solve_equilibrium
from principle_viz.core.line import Line
from principle_viz.plot.figure import MarketFigure
demand = Line.from_inverse(10.0, -1.0) # P = 10 - Q
supply = Line.from_inverse(2.0, 1.0) # P = 2 + Q
eq = solve_equilibrium(demand, supply)
print(eq)
fig = MarketFigure(x_max=12, y_max=12, title="Basic Equilibrium")
fig.add_curves(demand, supply, q_max=10)
fig.add_equilibrium(eq)
fig.finalize()
fig.save("basic_equilibrium.png")
fig.close()
Output:

Compare a tax
compare_tax_scenario solves the market before and after the tax. This one is a per-unit tax of 1 on producers.
from principle_viz.core.line import Line
from principle_viz.policy.analysis import compare_tax_scenario
from principle_viz.policy.tax import TaxOn, TaxScenario, TaxType
demand = Line.from_inverse(10.0, -1.0)
supply = Line.from_inverse(2.0, 1.0)
scenario = TaxScenario(tax_type=TaxType.PER_UNIT_TAX, amount=1.0, tax_on=TaxOn.PRODUCER)
result = compare_tax_scenario(demand, supply, scenario)
print(f"before tax: Q = {result.baseline_equilibrium.q_star}, P = {result.baseline_equilibrium.p_star}")
print(f"after tax: Q = {result.post_tax.q_star}")
print(f"buyers pay {result.post_tax.consumer_price}, sellers keep {result.post_tax.producer_price}")
print(f"tax revenue = {result.post_tax.tax_revenue}")
Output:
TaxType also offers FIXED_TAX and AD_VALOREM_TAX; TaxOn is CONSUMER or PRODUCER. To draw the tax on a
figure, use MarketFigure.add_tax_transform.
From the command line
The same market, solved without writing Python:
principle-viz equilibrium \
--demand-intercept 10 --demand-slope -1 \
--supply-intercept 2 --supply-slope 1
The tax scenario above is principle-viz tax with --tax-type per_unit --amount 1 --tax-on producer; it prints
the baseline and post-tax equilibrium as JSON.