A rectangular maze puzzle visualization with clearly marked start and goal positions. The maze is algorithmically generated to guarantee exactly one solution path from start to finish. The clean black-and-white design is optimized for printing, allowing users to solve the puzzle with a pen or pencil.

""" anyplot.ai
maze-printable: Printable Maze Puzzle
Library: letsplot 4.9.0 | Python 3.13.13
Quality: 73/100 | Updated: 2026-05-16
"""
import os
import numpy as np
import pandas as pd
from lets_plot import *
LetsPlot.setup_html()
# Theme tokens
THEME = os.getenv("ANYPLOT_THEME", "light")
PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
# Maze parameters
np.random.seed(42)
width = 25
height = 25
# Initialize maze grid (walls = 1, passages = 0)
# We use a (2*height+1) x (2*width+1) grid to represent walls between cells
maze = np.ones((2 * height + 1, 2 * width + 1), dtype=int)
# Initialize visited array for cells
visited = np.zeros((height, width), dtype=bool)
# DFS maze generation with iterative approach
stack = [(0, 0)]
visited[0, 0] = True
maze[1, 1] = 0 # Start cell is passage
directions = [(0, 1), (1, 0), (0, -1), (-1, 0)]
while stack:
cy, cx = stack[-1]
neighbors = []
for dy, dx in directions:
ny, nx = cy + dy, cx + dx
if 0 <= ny < height and 0 <= nx < width and not visited[ny, nx]:
neighbors.append((ny, nx, dy, dx))
if neighbors:
ny, nx, dy, dx = neighbors[np.random.randint(len(neighbors))]
visited[ny, nx] = True
# Remove wall between current and next cell
maze[2 * cy + 1 + dy, 2 * cx + 1 + dx] = 0
# Mark next cell as passage
maze[2 * ny + 1, 2 * nx + 1] = 0
stack.append((ny, nx))
else:
stack.pop()
# Create entrance and exit openings in the outer wall
# Entrance: remove wall at maze[0, 1] (top of first passage cell)
# Exit: remove wall at maze[2*height, 2*width-1] (bottom of last passage cell)
maze[0, 1] = 0 # Entrance opening
maze[2 * height, 2 * width - 1] = 0 # Exit opening
# Create data for plotting walls as rectangles
wall_data = []
maze_rows = maze.shape[0]
for y in range(maze_rows):
for x in range(maze.shape[1]):
if maze[y, x] == 1:
wall_data.append({"xmin": x, "xmax": x + 1, "ymin": maze_rows - y - 1, "ymax": maze_rows - y})
df_walls = pd.DataFrame(wall_data)
# Start and goal positions (outside the maze at entrance/exit)
start_x = 1.5
start_y = maze_rows + 0.5 # Just above the entrance
goal_x = 2 * width - 1 + 0.5 # = 49.5
goal_y = -0.5 # Just below the exit
df_markers = pd.DataFrame({"x": [start_x, goal_x], "y": [start_y, goal_y], "label": ["S", "G"]})
# Create plot with axis limits to include markers fully
plot = (
ggplot()
+ geom_rect(
aes(xmin="xmin", xmax="xmax", ymin="ymin", ymax="ymax"), data=df_walls, fill="black", color="black", size=0
)
+ geom_text(aes(x="x", y="y", label="label"), data=df_markers, size=10, fontface="bold", color=INK)
+ coord_fixed(ratio=1, xlim=(-1.5, maze.shape[1] + 0.5), ylim=(-1.5, maze_rows + 1.5))
+ theme_void()
+ theme(
plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG),
plot_title=element_text(size=24, hjust=0.5, color=INK),
plot_margin=[40, 40, 40, 40],
)
+ labs(title="maze-printable · letsplot · anyplot.ai")
+ ggsize(1200, 1200)
)
# Save as PNG and HTML
ggsave(plot, f"plot-{THEME}.png", scale=3)
ggsave(plot, f"plot-{THEME}.html")
Part of Printable Maze Puzzle on anyplot.ai.