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   "cell_type": "markdown",
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   "source": [
    "In this notebook, I'm going to test some colors on my spectrometer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import skimage.io\n",
    "from ipywidgets import interact\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's write a simple function that displays a single color image:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "98916b219e294d0f9bf62d26f05320ba"
      }
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    }
   ],
   "source": [
    "@interact\n",
    "def draw_uniform_color(r=(0, 255),\n",
    "                       g=(0, 255),\n",
    "                       b=(0, 255),\n",
    "                       alpha=(0, 255)):\n",
    "    \"Draws a uniformly colored rectangle.\"\n",
    "    w, h = 1400, 1200\n",
    "    img = np.ones((h, w, 4), dtype=np.float)\n",
    "    img *= np.array((r, g, b, alpha)) / 255.\n",
    "    plt.figure(figsize=(10, 8))\n",
    "    plt.imshow(img)\n",
    "    plt.axis('off')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": []
  }
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