{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import k3d\n",
    "import numpy as np\n",
    "\n",
    "points_number = 200\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": {},
   "outputs": [],
   "source": [
    "plot.fetch_screenshot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note**: this operation is asynchronous.\n",
    "\n",
    "We need to wait for the widgets to synchronize behind the scenes..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Image\n",
    "with open('screenshot.png', 'wb') as f:\n",
    "    try:\n",
    "        out = plot.screenshot.decode('base64')\n",
    "    except: # Python 3\n",
    "        from base64 import b64decode\n",
    "        out = b64decode(plot.screenshot)    \n",
    "    f.write(out)\n",
    "    \n",
    "Image(url='screenshot.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "Expected result:\n",
    "![Possible screenshot](assets/screenshot.png \"Possible screenshot\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot.screenshot_scale = 4.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot.fetch_screenshot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note**: this operation is asynchronous.\n",
    "\n",
    "We need to wait for the widgets to synchronize behind the scenes..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('screenshot_upscale.png', 'wb') as f:\n",
    "    try:\n",
    "        out = plot.screenshot.decode('base64')\n",
    "    except: # Python 3\n",
    "        from base64 import b64decode\n",
    "        out = b64decode(plot.screenshot)    \n",
    "    f.write(out)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import imageio\n",
    "\n",
    "print(imageio.imread('screenshot.png').shape, imageio.imread('screenshot_upscale.png').shape)"
   ]
  },
  {
   "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": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}