econ-viz 1.6.0

A Python toolkit for producing publication-quality microeconomics diagrams.

A Python toolkit for producing publication-quality microeconomics diagrams. Define utility functions declaratively, solve for consumer equilibria, and export figures as PNG, PDF, SVG, or pure TikZ — all in a few lines of code.

Installation

pip install econ-viz

Requires Python 3.12 or later.

Quick Start

from econ_viz import Canvas, levels, solve
from econ_viz.models import CobbDouglas

model = CobbDouglas(alpha=0.5, beta=0.5)
eq    = solve(model, px=2.0, py=3.0, income=30.0)
lvls  = levels.around(eq.utility, n=5)

cvs = Canvas(x_max=20, y_max=15, x_label="x", y_label="y",
             title="Cobb-Douglas  $x^{0.5} y^{0.5}$")
cvs.add_utility(model, levels=lvls)
cvs.add_budget(2.0, 3.0, 30.0, fill=True)
cvs.add_equilibrium(eq, show_ray=True)
cvs.save("cobb_douglas.png")

TikZ export writes a standalone LaTeX document with only TikZ drawing commands:

cvs.save("cobb_douglas.tex", tikz_scale=0.0125)

The default TikZ scale maps a 6 inch wide Matplotlib figure to about 7.5 cm.

Notebook

The project ships with an interactive playground notebook:

notebook/econ-viz Playground.ipynb

Download it and open it in Jupyter, VS Code, or Colab. The first code cell upgrades econ-viz from PyPI for fresh runtimes.

Highlights

• Built-in models: Cobb-Douglas, Leontief, Perfect Substitutes, CES, Satiation, Quasi-Linear, Stone-Geary, and Translog
• Solver support for interior, kink, boundary, and corner solutions
• Closed-form demand helpers with solution_tex(...)
• Comparative tools including comparative_statics(...) and slutsky_matrix(...)
• Multi-panel Figure layouts, PricePath / IncomePath, and linked DemandDiagram
• CLI support for plotting and closed-form demand output
• Color-blind-friendly default palette (themes.COLORBLIND_CYCLE_RGB) sourced from thriveth/8560036, with related citation at DOI:10.1080/00220485.1996.10844911

Additional Tools

Closed-form Marshallian demand in TeX:

from econ_viz import solution_tex
from econ_viz.models import CobbDouglas

tex = solution_tex(CobbDouglas(alpha=0.4, beta=0.6))

Slutsky matrix:

from econ_viz import slutsky_matrix
from econ_viz.models import CobbDouglas

S = slutsky_matrix(CobbDouglas(alpha=0.4, beta=0.6), px=2.0, py=3.0, income=60.0)
# S.s_xx, S.s_xy, S.s_yx, S.s_yy

CLI

econ-viz help
econ-viz models
econ-viz solve-tex --model cobb-douglas --symbolic-params

Plotting example:

econ-viz plot --model cobb-douglas --alpha 0.5 --beta 0.5 \
              --px 2 --py 3 --income 30 \
              --fill --show-ray \
              --output cobb_douglas.png

Documentation

Full documentation lives at econ-viz.org.

License

MIT © Anthony Sung