{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-04-19T15:18:34.259922Z",
     "start_time": "2019-04-19T15:18:34.239604Z"
    }
   },
   "outputs": [],
   "source": [
    "import k3d\n",
    "import numpy as np\n",
    "\n",
    "points_number = 15\n",
    "spread_range = 30\n",
    "positions = spread_range * np.random.random_sample((points_number, 3)) - spread_range / 2\n",
    "colors = np.random.randint(0, 0xFFFFFF, points_number)\n",
    "\n",
    "plot = k3d.plot(height=240)\n",
    "points = k3d.points(positions.astype(np.float32), colors.astype(np.uint32), point_size=3.0, shader='mesh')\n",
    "plot += points\n",
    "plot.display()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-04-19T15:19:29.809790Z",
     "start_time": "2019-04-19T15:19:29.804408Z"
    }
   },
   "outputs": [],
   "source": [
    "speeds = np.random.rand(points_number, 3)\n",
    "from IPython import display\n",
    "\n",
    "@plot.yield_screenshots\n",
    "def coroutine():\n",
    "    global positions\n",
    "    for i in range(10):\n",
    "        positions += speeds\n",
    "        points.positions = positions.astype(np.float32)\n",
    "        plot.fetch_screenshot()\n",
    "        screenshot = yield\n",
    "        with open('screenshot_{}.png'.format(i), 'wb') as f:\n",
    "            f.write(screenshot)\n",
    "        \n",
    "coroutine()\n",
    "print('loop is running in background')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-04-19T15:20:05.504892Z",
     "start_time": "2019-04-19T15:20:05.492305Z"
    }
   },
   "outputs": [],
   "source": [
    "from IPython import display\n",
    "\n",
    "display.Image('screenshot_0.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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  "language_info": {
   "codemirror_mode": {
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   "file_extension": ".py",
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