spielviz
Python visualization library for OpenSpiel game trees, information sets, and strategy profiles.
Installation
pip install spielviz
Quick Start
import spielviz
# One-liner: render any OpenSpiel game
spielviz.quick_render("kuhn_poker", path="kuhn.png")
Or with more control:
import pyspiel
import spielviz
game = pyspiel.load_game("kuhn_poker")
root = spielviz.build_tree(game)
root = spielviz.layout_tree(root)
# Highlight information sets
colors = spielviz.auto_color_info_sets(root, player=0)
fig, ax = spielviz.render_tree(
root,
highlight_info_sets=colors,
show_actions=True,
show_payoffs=True,
title="Kuhn Poker",
)
fig.savefig("kuhn_poker.png", dpi=150, bbox_inches="tight")
Features
Game Tree Rendering
Render any OpenSpiel game as a publication-quality tree diagram:
- Player-colored nodes (colorblind-friendly palette)
- Action labels on edges
- Terminal payoffs displayed
- Chance node probabilities
Information Set Visualization
Highlight which nodes a player cannot distinguish:
colors = spielviz.auto_color_info_sets(root, player=0)
fig, ax = spielviz.render_tree(root, highlight_info_sets=colors)
# Or draw dashed connection lines (standard game theory notation)
spielviz.draw_info_set_connections(ax, root, player=0)
Strategy Profile Visualization
Visualize policies from CFR, fictitious play, or any OpenSpiel algorithm:
from open_spiel.python.algorithms import cfr
solver = cfr.CFRSolver(game)
for _ in range(1000):
solver.evaluate_and_update_policy()
policy = solver.average_policy()
# Bar chart of action probabilities at each info set
fig, ax = spielviz.plot_strategy_profile(game, policy, player=0)
# Strategy overlaid directly on the game tree
fig, ax = spielviz.plot_strategy_on_tree(root, game, policy, player=0)
Large Game Support
Use max_depth for games with large state spaces:
spielviz.quick_render("tic_tac_toe", max_depth=3, path="ttt.png")
API Reference
| Function | Description |
|---|---|
build_tree(game, max_depth=None) |
Build a TreeNode hierarchy from an OpenSpiel game |
layout_tree(root, algorithm="simple") |
Compute (x, y) positions for all nodes |
collect_info_sets(root) |
Group nodes by information state string |
render_tree(root, **kwargs) |
Render game tree as matplotlib figure |
save_tree(root, path, **kwargs) |
Render and save to file (PNG, SVG, PDF) |
auto_color_info_sets(root, player) |
Assign distinct colors to info sets |
draw_info_set_connections(ax, root, player) |
Draw dashed lines between info set nodes |
plot_strategy_profile(game, policy, player=0) |
Bar chart of strategy at each info set |
plot_strategy_on_tree(root, game, policy, player=0) |
Mini bar charts overlaid on tree |
quick_render(game_name, **kwargs) |
One-liner convenience function |
Tested Games
kuhn_poker— 2-player Kuhn Pokerleduc_poker— 2-player Leduc Poker (depth-limited)tic_tac_toe— Tic-Tac-Toe (depth-limited)
Contributing
Contributions welcome! Please open an issue or PR.
git clone https://github.com/kvr06-ai/spielviz.git
cd spielviz
pip install -e ".[dev]"
pytest tests/
ruff check src/
License
MIT
Metadata
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