{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import k3d\n",
    "import k3d.platonic as platonic\n",
    "import math\n",
    "import numpy as np\n",
    "\n",
    "def test(plot):\n",
    "    colors = [0xff0000, 0x00ff00, 0x0000ff, 0xffff00, 0xff00ff]\n",
    "\n",
    "    for j in range(5):\n",
    "        meshes = [\n",
    "            platonic.Dodecahedron().mesh,\n",
    "            platonic.Cube().mesh,\n",
    "            platonic.Icosahedron().mesh,\n",
    "            platonic.Octahedron().mesh,\n",
    "            platonic.Tetrahedron().mesh\n",
    "        ]\n",
    "\n",
    "        for i, obj in enumerate(meshes):\n",
    "            rad = math.radians(i / len(meshes) * 360)\n",
    "            radius = 3.5\n",
    "            obj.transform.translation = [math.sin(rad) * radius, math.cos(rad) * radius, 2*j]\n",
    "            obj.color = colors[i]\n",
    "            plot += obj\n",
    "\n",
    "    plot.render()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "394df30421384e749cfb2765e1f9470f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = k3d.plot()\n",
    "plot.display()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot.auto_rendering = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "test(plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "while plot.objects:\n",
    "    plot -= plot.objects[-1]\n",
    "\n",
    "plot.render()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot.auto_rendering = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "while len(plot.objects)>2:\n",
    "    plot -= plot.objects[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot.render()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(10):\n",
    "    plot += k3d.points(np.random.randn(1,3))#,color=0xff0000)\n",
    "    plot.camera = [-0.9639876204909027,\n",
    "         -23.61169267956684,\n",
    "         i,\n",
    "         0,\n",
    "         0.334220290184021,\n",
    "         4,\n",
    "         0.007512009764659415,\n",
    "         0.3054834418666324,\n",
    "         0.9521677564665881]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot.render()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(100):\n",
    "    plot.camera = [940.698323963372,\n",
    "     -1632.233209973555,\n",
    "     i*10,\n",
    "     4.949999809265137,\n",
    "     -490.04998779296875,\n",
    "     49.005001068115234,\n",
    "     0.008397615690103343,\n",
    "     0.012813759314055312,\n",
    "     0.9998826369244359]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "language_info": {
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