mondrian.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mondrian Procedurally Generated Soccer Fields\n",
    "Devin Pleuler 2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as patches\n",
    "import random\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Coord(object):\n",
    "    def __init__(self,x,y):\n",
    "        self.x = x\n",
    "        self.y = y\n",
    "\n",
    "class Line(object):\n",
    "    def __init__(self, source, destination):\n",
    "        self.x1 = source.x\n",
    "        self.y1 = source.y\n",
    "        self.x2 = destination.x\n",
    "        self.y2 = destination.y\n",
    "        \n",
    "    def svg(self):\n",
    "        svg_template = \"\"\"<line x1=\"%s\" y1=\"%s\" x2=\"%s\" y2=\"%s\" style=\"stroke:black;stroke-width:2\" />\"\"\"\n",
    "        return svg_template % (self.x1, self.y1, self.x2, self.y2)\n",
    "    \n",
    "    def draw(self, plot):\n",
    "        plot.plot([self.x1,self.x2],[self.y1,self.y2], 'k-', lw=1)\n",
    "        \n",
    "class Box(object):\n",
    "    def __init__(self,corner1, corner2):\n",
    "        self.x1 = corner1.x\n",
    "        self.y1 = corner1.y\n",
    "        self.x2 = corner2.x\n",
    "        self.y2 = corner2.y\n",
    "        self.volume = self._get_volume()\n",
    "        self.sub_boxes = []\n",
    "        self.lines = self.border_lines()\n",
    "\n",
    "    def return_lines(self):\n",
    "        lines = []\n",
    "        if len(self.sub_boxes) > 0:\n",
    "            for box in self.sub_boxes:\n",
    "                for line in box.return_lines():\n",
    "                    lines.append(line)\n",
    "        else:\n",
    "            for line in self.lines:\n",
    "                lines.append(line)\n",
    "        return lines\n",
    "            \n",
    "        \n",
    "    def border_lines(self):\n",
    "        return [Line(Coord(self.x1, self.y1),Coord(self.x1, self.y2)),\n",
    "                Line(Coord(self.x1, self.y2),Coord(self.x2, self.y2)),\n",
    "                Line(Coord(self.x2, self.y2),Coord(self.x2, self.y1)),\n",
    "                Line(Coord(self.x2, self.y1),Coord(self.x1, self.y1))]\n",
    "        \n",
    "    def _get_volume(self):\n",
    "        return abs(self.x2-self.x1) * abs(self.y2-self.y1)\n",
    "    \n",
    "    def colorize(self):\n",
    "        if self.sub_boxes == []:\n",
    "            color = random.choice([\"red\", \"yellow\", \"blue\", \"none\", \"none\", \"none\", \"none\", \"none\", \"none\"])\n",
    "            rect = patches.Rectangle((self.x1,self.y1),(self.x2 - self.x1),(self.y2 - self.y1),linewidth=0,edgecolor='r',facecolor=color)\n",
    "            ax.add_patch(rect)\n",
    "        else:\n",
    "            for box in self.sub_boxes:\n",
    "                box.colorize()\n",
    "    \n",
    "    def draw(self, plot):\n",
    "        \n",
    "        for box in self.sub_boxes:\n",
    "            box.draw(plot)\n",
    "        \n",
    "        for line in self.lines:\n",
    "            line.draw(plot)\n",
    "    \n",
    "    def __str__(self):\n",
    "        return \"(%s,%s) to (%s,%s)\" % (self.x1, self.y1, self.x2, self.y2)\n",
    "    \n",
    "    def split(self):   \n",
    "        \n",
    "        box_width = abs(self.x2 - self.x1)\n",
    "        box_height = abs(self.y2 - self.y1)\n",
    "        \n",
    "        extra_direction = \"Horiz\" if box_height > box_width else \"Vert\"\n",
    "        \n",
    "        direction = random.choice([\"Horiz\", \"Vert\", extra_direction])\n",
    "        if direction == \"Horiz\":\n",
    "    \n",
    "            y_range = [self.y1, self.y2]\n",
    "            y_range.sort()\n",
    "\n",
    "            y = random.choice([y for y in range(*y_range)])\n",
    "\n",
    "            box1 = Box(Coord(self.x1, self.y2), Coord(self.x2, y))\n",
    "            box2 = Box(Coord(self.x1, y), Coord(self.x2, self.y1))\n",
    "            \n",
    "        elif direction == \"Vert\":\n",
    "            x_range = [self.x1, self.x2]\n",
    "            x_range.sort()\n",
    "\n",
    "            x = random.choice([x for x in range(*x_range) if x != 5])\n",
    "\n",
    "            box1 = Box(Coord(self.x1, self.y1), Coord(x, self.y2))\n",
    "            box2 = Box(Coord(x, self.y1), Coord(self.x2, self.y2))\n",
    "\n",
    "        self.sub_boxes.append(box1)\n",
    "        self.sub_boxes.append(box2)\n",
    "\n",
    "        for box in self.sub_boxes:\n",
    "            if random.choice([1,0]) == 1:\n",
    "                if box.volume > 1:\n",
    "                    box.split()\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def draw_ax(ax):\n",
    "    x = Box(Coord(0,0), Coord(12,8))\n",
    "    left_half = Box(Coord(0,0), Coord(6,8))\n",
    "    right_half = Box(Coord(6,8), Coord(12,0))\n",
    "\n",
    "    left_box = Box(Coord(0,2),Coord(2,6))\n",
    "    top_left_box = Box(Coord(0,6),Coord(6,8))\n",
    "    mid_left_box = Box(Coord(2,2),Coord(6,6))\n",
    "    bot_left_box = Box(Coord(0,0),Coord(6,2))\n",
    "    top_left_box_small = Box(Coord(0,6),Coord(2,8))\n",
    "    bot_left_box_small = Box(Coord(0,0),Coord(2,2))\n",
    "    top_mid_left_box = Box(Coord(2,2),Coord(6,8))\n",
    "    bot_mid_left_box = Box(Coord(2,0),Coord(6,6))\n",
    "    left_big = Box(Coord(2,0),Coord(6,8))\n",
    "\n",
    "    right_box = Box(Coord(10,2),Coord(12,6))\n",
    "    top_right_box = Box(Coord(6,6),Coord(12,8))\n",
    "    mid_right_box = Box(Coord(6,2),Coord(10,6))\n",
    "    bot_right_box = Box(Coord(6,0),Coord(12,2))\n",
    "    top_right_box_small = Box(Coord(10,6),Coord(12,8))\n",
    "    bot_right_box_small = Box(Coord(10,0),Coord(12,2))\n",
    "    top_mid_right_box = Box(Coord(6,2),Coord(10,8))\n",
    "    bot_mid_right_box = Box(Coord(6,0),Coord(10,6))\n",
    "    right_big = Box(Coord(6,0),Coord(10,8))\n",
    "\n",
    "    left_options = [[top_left_box_small, bot_left_box_small, left_big],\n",
    "                    [top_left_box, bot_mid_left_box, bot_left_box_small],\n",
    "                    [top_left_box, bot_left_box, mid_left_box],\n",
    "                    [bot_left_box_small, bot_mid_left_box, top_left_box]]\n",
    "\n",
    "    selection = random.choice(left_options)\n",
    "    left_half.sub_boxes.append(left_box)\n",
    "    for box in selection:\n",
    "        box.split()\n",
    "        left_half.sub_boxes.append(box)\n",
    "\n",
    "    right_options = [[top_right_box_small, bot_right_box_small, right_big],\n",
    "                     [top_right_box, bot_mid_right_box, bot_right_box_small],\n",
    "                     [top_right_box, bot_right_box, mid_right_box],\n",
    "                     [bot_right_box_small, bot_mid_right_box, top_right_box]]\n",
    "\n",
    "    selection = random.choice(right_options)\n",
    "    right_half.sub_boxes.append(right_box)\n",
    "    for box in selection:\n",
    "        box.split()\n",
    "        right_half.sub_boxes.append(box)\n",
    "\n",
    "    x.sub_boxes.append(left_half)\n",
    "    x.sub_boxes.append(right_half)\n",
    "    \n",
    "    x.colorize()\n",
    "    x.draw(ax)\n",
    "    center_circle = patches.Circle((6,4), 1,linewidth=1,edgecolor='black',facecolor=\"none\")\n",
    "    center_dot = patches.Circle((6,4), 0.1,linewidth=1,edgecolor='black',facecolor=\"black\")\n",
    "    left_dot = patches.Circle((1.5,4), 0.1,linewidth=1,edgecolor='black',facecolor=\"black\")\n",
    "    right_dot = patches.Circle((10.5,4), 0.1,linewidth=1,edgecolor='black',facecolor=\"black\")\n",
    "    left_arc = patches.Arc((1.5,4),2,2, theta1=300.0, theta2=60.0,linewidth=1,edgecolor='black',facecolor=\"black\")\n",
    "    right_arc = patches.Arc((10.5,4),2,2, theta1=120.0, theta2=240.0,linewidth=1,edgecolor='black',facecolor=\"black\")\n",
    "\n",
    "    set_of_patches = [center_circle, center_dot, left_dot, right_dot, left_arc, right_arc]\n",
    "    for patch in set_of_patches:\n",
    "        ax.add_patch(patch)\n",
    "\n",
    "    ax.set_xticks([])\n",
    "    ax.set_yticks([])\n",
    "    ax.axis('off')\n",
    "    \n",
    "    return x.return_lines()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11fd24e50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "seed_number = 42\n",
    "random.seed(seed_number)\n",
    "wide,down = 8,12\n",
    "fig,axes = plt.subplots(down,wide, figsize=(16, 16))\n",
    "\n",
    "for i in range(0,down):\n",
    "    for j in range(0,wide):\n",
    "        ax = axes[i][j]\n",
    "        ax.set(aspect=1)\n",
    "        lines = draw_ax(ax)\n",
    "\n",
    "plt.savefig(\"print-%s.svg\" % seed_number)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}