{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"my_machine-learning/datasets/titanic.csv\")\n",
    "data = data.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "plt.hist(data['Age'],bins = 50)\n",
    "plt.title(\"Histogram of the age variable\")\n",
    "plt.ylabel(\"Frequency\")\n",
    "plt.xlabel(\"Age\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "af = data[[\"Age\", \"Fare\"]]\n",
    "\n",
    "plt.scatter(x = af[\"Age\"], y = af[\"Fare\"],color='red',alpha=0.5)\n",
    "plt.xlabel(\"Age\")\n",
    "plt.ylabel(\"Fare\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* We also see that both variables have different scales. \n",
    "* It may be possibale that one feature dominate other else it may be possible that large variance dominates. \n",
    "* We don’t want that so we must normalize variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "scaler = MinMaxScaler()\n",
    "af = scaler.fit_transform(af)\n",
    "afs = pd.DataFrame(af, columns = [\"Age\", \"Fare\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ZeRlk/dpDZjb57vUyZenXz8mGT5l3CqcCuyLi4Yh4AbgJuKBBut8EPkFltLQV1K89ZGaz1GevlynLIJbJBlOZQWEC2F3zeE/yXErSMmBxRHw1a0OSLpO0VdLW/fv3tz+nfaxfe8gUXeqzH8qUZRDLZIOpzN5HavBc2qotaR7wSeDSVhuKiOuB66HS0Nym/A2EXupNVESRpT77pUxZ+vVzsuFTWu8jSWcA6yJiZfL4CoCIuCZ5fBTwEPDD5C2vBp4Czo+Ipt2L3PvIzKy4Xuh9dA9woqQTkrUYLgY2Vl+MiGci4piIWBoRS4EttAgIZmZWrtKCQkQcAC4HNgPfAW6JiB2SrpJ0fln7NTOz2St1RHNEbAI21T13ZZO0Z5aZFzMza63UwWtmZtZfHBTMzCzloGBmZikHBTMzSzkomJlZykHBzMxSXmTH+pIXrDErh4OC9Z36BWv2Tk5xxW33AzgwmM2Rq4+s73jBGrPyOChY3/GCNWblcVCwvuMFa8zKM3RtCvUNlGe9fhF3PrjfDZYlKKsxeM3Kkw5rU4DyFqxpVQY3eB/Ox6P/DVVQaNRAecOWx9LX3WDZPmU2BndqwZpWZXCD9+F8PAZDaYvslGUui+ysWH8He3PUO0+Mj3HX2rfPah9W0exY99OxbVWGQShjO/l49LZeWGSn5+RtiHSD5dwNQmNwqzIMQhnbqdkFV54LMesdQxUU8jZEusFy7gahMbhVGQahjO00okbLsjd/3nrTUAWFNStPYmx0JDNNWQ2Ww6bRse63Y9uqDINQxnY62KQqutnz1puGqqG5UQOlex+Vo1ONwbORtwdaqzL0chm7YWJ8rGmbgvWPoWpoNqvvIdPI2OgI11x4Sq6Tu7s4v6jRsS1yLK1cbmg2a6DRFBn18k6ZUT0J7p2cInixi3Pt4ytuu58N2/a2J/M9btWyCa658BQmxscQlTsEB4T+M1TVR2bt7IFWJMAMy4mxttrN+pPvFGyotLMHmrs42yByULCh0s4eaO7ibIPI1Uc9osicMZ5fZvYa9RhauGAe//j4s2maNy85KtfxbDQHU71h7qJq/cm9j3pAkV4b7uHRXh/dcP9h819VXXL6Eq5edUrL97v3kfWLvL2PHBR6QJE5Yzy/THu99opNDQdXjUg8dM25XciRWTnyBgVXH/WAInPo9NJ8O92sxmrXvj0Kt71ctdn/HBR6wLFNRoI2aqAskrbqoxvu58a7d3MwghGJ03/8aL775NScfrjdnCa5nfsekZreKTTbdy+e9HohX546ezC491EPKDKHTtH5dqp15tUT38EI7nroqTkPsOrmOsnt3Pfq0xbnfr7RYLVeGJzWKF9rvnIfb/r41zlh7e2sWH9HR/LotbMHg4NCDygyErToqNEb797dcv+z+eF2sxqrnfu+etUpXHL6kvTOYERq2sjcqye9RvmaPhhMTk13NHj1UtWmzV6p1UeSzgZ+DxgBPhsR6+te/3XgA8ABYD/w7yPi0TLz1KuKjAQtkjZv3XjRH+5sqrHapd37vnrVKbl6GvXqSS/P/jsxsrqb3wlrn9LuFCSNANcB5wAnA6slnVyXbBuwPCJ+EvgK8Imy8jOs8s5lX/SH281po7u1715dPyHv/ssOXp5KfDCUWX10KrArIh6OiBeAm4ALahNExJ0R8VzycAtwXIn5GUrN6sxrzeaH283Jz7q171496eUZpQ3lBy9PiDcYyqw+mgBqK7T3AKdlpH8/8LVGL0i6DLgMYMmSJe3K31CoVou0u/cRdHbys0a9azo9LqNX10+oz9f4wlF++PwBpg+9WHVYG7zK7KnkCfH6X2mD1yS9F1gZER9IHv8CcGpE/GqDtJcAlwNvi4gfZW13EAevdVOZJ4h2bbvoKO5W++2VKUW6sW2PiB9evTB4bQ9QW3dxHLCvPpGkdwK/QY6AYO1VZr/ydm47q9dPq2lA6vdbJF/9cnyq28tzJ1XkWNpwKrNN4R7gREknSFoAXAxsrE0gaRnwR8D5EfF4iXkZKhu27WXF+jta9lEvs4tlO7ddpNdPq/0WyVe/HJ8i4yd6tQeV9Y7S7hQi4oCky4HNVLqkfi4idki6CtgaERuBa4EjgC+r0kvmsYg4v6w8DYMiV6DtPkHUXq02q5SczbbHF47y9HPTDZ+v16hLZO3z7ZhSZO/kFCesvX1OVT7t3HaRq/+5dhvthZHTVq5SxylExCZgU91zV9b8/84y998O/fYjyHOCqJap2Yl7Nr1U8qx9PNttN2v2avR8q2krigSYZidQ4LCRw1C8yifPtvNWJxUJdGtWnsSar9zH9MEXj9HoiHL1oPI0FsPBcx9l6McfQasTRKuTd30Xy/p5k1aftjj3aN9W284bcJ+ZmnkSb/Z8qwnumgWYyanpGVfoedZLmD4YfPwvdhT+PuTZ9tT0QT5083au3bwzs7F8XpNAWA3AtWnHF44eFhAADtY9bvaZz7U9ougFVr9dkA0KB4UM/dgo16p6IOvkPVH3w6tfa+BgRPq4PjA0u+oFULL/2m0XCbitylR78mh2pzCRpG0WYKpvaZSPVlVije48Wsm77UZ5qj92zQLhWa9fNCNto7weAtZtrAS2rM98LtWNG7btPewOpdVdVj9ekA0Kz32UoR8b5VoNsGqWdwF3rX37YT+4ZvMmNXq+2cjpEYlH1p83Y9tFGlqzylTfyNroBFlb/jzVV52az2jVsgnuWvt2Hll/Xhq08uQpz10ZwJ0P7s+ddjIJllmf+VxGdH/8L3bMuEOp3mU10qvzTA0DB4UMvTqtQZZWo0qLlKnIWgNF1yUoEnCzytTspDciNSx/3tG/+yanZgScZsbHZrZHFJUnX9Vjk/eiZN/kVOELmKzPcS4jupvdTTV7vpMXZHl76w0LVx9laFTv2wvTGrSSNaq0SJmaVcUAM+rfx0bnMTV9aEa6sdHG1x1FqoSy+t03O0kciuCR9efNeL6+2gY1bmcYXzia6yp7dJ5Yd/4bMtPkUZuvZlVx1WOT1UjdKH2etEcnDe1ZDfWdHNHdqcn1XE01k+8UMgziXC5FypQ1b1K1h8yHb97O0rW3NwwIAD860Pj5IlVCWf3uZ3M3V1ttc9RLG1/lR2RflVaP3bXv/am2ThFx19q387s/96bMK/I8dxXV9HnSjo6Ij727EtharS9Re+zqqwSzNLubavZ8p+aZcjXVTL5TaGEQ53LJW6b6eZMaaTVJyqEmCbKuOlesvyN3A/9c7+ayejY1u1otez3sVcsm2ProU4f1AHrPW178zBodu7Nev4g7H9zf9Ao+b9pGc2U163FWxLrz38CaL9932HxMWXdZre5K2tUzqR/bDctW2txHZfHcR62V1ZXvhLW3twwC9UYkHrrm3LbsR9CwSmgu5V2x/o6mJ/5mAaddd4vDNj9Rt+bCypL1+Xd6wsWy5Z37yEFhwDT6wYzOE0e8dD6Tz03P6cfY7AeUZWHS1lBkv832MyJxKCLXlXFerU4w9SeyTuy3WbtC1omqrHz2onaeyAc1ADfioDCk8py4s056rWYMra8CaEaqXNnXJq3/sRW5Um6lSJmyTqDjC0eJeLH6KGtsRaMy5ZV1Yms2biHrTqnV8RqkE13RO8lWhmWQXC/MkmpdUGRpRqB4z4uMhdxqTzyNTnq17QJ5en20GrE7mzI12u+t9+7lmgsrdea1QW/v5BRrvvziAKuigxmzTjZZddnN2jICWLr29hlrYhQ5Pnny2et3Ge3umTSI7YZz4d5HA6bI0oxFe15cu3nnjAFIVRPjY7znLZUT5wlrb296t1I9Gbbad20vl0M572b35ihT1uvrNu6YcRc0fShYt3HHYXlvVqZarXpQZfWaatVj6GAEdz30VOaAvbnk84Ytj+Xq+dUtvboC3qBwUBgwRZZmLNrzIqtaas3Kk7j13r0tB3pVT4ZF9l3kCrDVdrNen2zSE6n6fJHur62CU9aJrb7bcLvkzWe9XuuiOYhdxXuJg8KAqf/BjI+NMjpy+KmlevIp2sc/ayqLohPiFdl33kCXZ7tzGaVe5Aq1VXBqdWKrvVNqh6L5nG26TpnteAlrzUFhwL3sJfP5ubcubnjyKXobnjUFQp6BXq2mm2i277xXziNSy+02en10nnjuhQNNt1sd7VvkCjVP8Ml7YmsWjBulq+brktOXzCmfs01n/W/oGpoHffrerIbU+nwXnbZgImMwV3VfjV5r1E2w6L5rGwPrZ/KsWn3a4pbbrX/9qLFRnn3hQNM5eGpH+9bnI0s7p0hZfdrihuVtlK7oILM8U3i7vn64DFWX1NksAN9vfZjLHIyTdTyAOR2rosE37zoPrWR14a2fSryodl2AbNi2lw/dvL3l/mb7GRfpfdRvF0mzMahl9DiFBoqeMPtxtGO7+3DXy/rBzPbH1M3gW/bxyivrGKzbuKNpI3itsvPc7s+pXYG9nfrxQjAvj1NooGhvm36cF6VoH+6iJ/Ks6pNWVSvN9tWsp85HbrmPD9+8Pdegutle2WWNCVix/o6OVS9m9VbKExDg8M+4XcG71QpvzZZ6bbXtIgs4dVIvLazVrTuWoQoKRU+YnZq+t52K1GUXXQ1rLrIGqzULstUTUDVf6zbumDHSeDZTH9cvTykaT+zXalut9l1kZHWz+/W804rUrrPcKF8fvnk7H7p5O0cvHOWHzx84bIBeszLmXeGtmsci36dmi/ncsOUxvrjlsVIvBLL0yoVgN6f0HqrqozzzAtXWp1YbIWsHbPXDrWTeH8yyq77esIH16IWjbLvyXW3NU1ZV3LM/OpD7arhqtvMEzWYKjdlUL7aaTG82+Wjl6IWjTD43nWuEc6M815cx71xX1UkPi3yflq69veV2m/3Wyqzi6ZUq4zLy4eqjBlr1PKmO5qyanJpmdJ7SH1u/NDrl7SFTdDWsuci6AhtfWHzlsuotfdEru7zLU+bZVtbzraohZpOPVqqfW9GAAI3LkvfquLq/It+nrAWcqppV25RZxdMrC2t1845lqIICHH7CXLH+jpZXqNOHgoUL5rf9ynnYZFXFzfaLnjVPULMqvtnsazbVi7MdWd0tjcqYd4W3VutLN5K3m22RYNWOY1q0q3RZull1PdSD1/J+ifZOTg3k+q1FV8NqJWut26xBZbP9ojebJyjrym42+2q2rdmUqdXI6m5odryKrPAGxb5PV686hUtOX9JyYF6zYJU37Wz0wmjpbs7vNNRBociXqFcnB5uLdee/gdF5h/8oi6w5XBsEll31dX79lu2HTaS25iv3pccqazRws1HGRyeNwEcvHJ2Rz0bzBEGlWqJalVDdd20+n/3RgRnTfmQZHxvN7G1VpExFl9Ssmu38R9UTbv37R0fE+Nhoy9HOjcqXNVK66Pfp6lWn8NA15/Ld9ee1XIK01jBMiNfN+Z2GqqG5Xn1vibyqjT2DMMilnWMLGslqtK7tpz5P8JL583g+WZBn6SvH2PLw02kf9tqpopv15GlUF/yet0xw8zd3Hzb76TzgqKSdaOGCEZ59oXEZ5tp4Odt1HfZOTqV17hPJ87feu7e09SXmop3Tbs+2q2y//vY6zQ3NedXFg3mCl790lGemppt2E9w3OdXVLmO9IG9D6dPPTXPC2ttn/HDr+6kfCpiaPsQlpy8BmNGH/a6HnuKS05c07MO+YdtePnLLfQ370H9xy2MzPsdDQERloNdrr9jUNO9lX5kVmcd/+fGvyDz5Zp2My1ovoMiUKnkUyafXQCjPUAeFazfvnDF//qGoTCK3/WPvatot7NjxsZ4a5DJbcwlsRRr1aqveqttu1k+92fPV1+qDQrUMzXqyNAvs1Q4GWT1g5vI5tvuioRdPgoPwG7CZhrpNoVUvhqy6y14Z5DIXRRfZqTWbRr3abWfNuJr1Wr25du3Mmg58LuZybPvFIPwGbKZSg4KksyXtlLRL0toGr79E0s3J63dLWlpmfuq16sWQ1dhTdg+ITpjLj7pIQ2mjbWedjIucqGd7AqpOh736tMUNX2/2fH0Pq49uuL9hj6thOGEOwm/AZiotKEgaAa4DzgFOBlZLOrku2fuBpyPiXwCfBH67rPw0kqcXQ7PuaYPQA2IuP+pWPVOandir2846GRc5Uc/mBFQ7HXZ918gRKbPtIu/SlcNwwhyE34DNVGYhj19UAAAG2ElEQVSbwqnAroh4GEDSTcAFwAM1aS4A1iX/fwX4Q0mKDnWJmstAlV4Z5DIXcx29mVXP3aw3UHXb1ZNu1iyZeWbQzLMeAFRO9ociGn5OV686JdckbEWWruyVkbFlGoTfgM1UWpdUSRcBZ0fEB5LHvwCcFhGX16T5dpJmT/L4oSTNE3Xbugy4DGDJkiVvefTRR0vJ8zDqZHfFsk4Ytfspc76qZtNs16tOYe1uk9ZLeqFLaqP6g/rfVJ40RMT1wPVQGacw96xZVZm9WjrVY6Z+P2WdjPNO+1DbJuUgYP2mzKCwB6itBD4O2NckzR5J84GjgKdKzJMNgbJOxl660oZBmb2P7gFOlHSCpAXAxcDGujQbgV9K/r8IuKNT7QlmRRWd9sGsH5V2pxARByRdDmwGRoDPRcQOSVcBWyNiI/DHwBck7aJyh3BxWfkxawdXCdmgK3VEc0RsAjbVPXdlzf/PA+8tMw9mZpbfUI9oNjOzwzkomJlZykHBzMxSDgpmZpZyUDAzs5SDgpmZpRwUzMws1XdrNEvaD7RjRrxjgCdaphocLu/gGqaygss7W8dHxKJWifouKLSLpK15ZgwcFC7v4BqmsoLLWzZXH5mZWcpBwczMUsMcFK7vdgY6zOUdXMNUVnB5SzW0bQpmZjbTMN8pmJlZHQcFMzNLDXxQkHS2pJ2Sdkla2+D1l0i6OXn9bklLO5/L9shR1l+X9ICkb0n6a0nHdyOf7dKqvDXpLpIUkvq6G2Oe8kr62eQz3iHpS53OYzvl+D4vkXSnpG3Jd/rcbuSzHSR9TtLjkr7d5HVJ+v3kWHxL0ptLy0xEDOwflRXfHgJ+HFgA3AecXJfmV4BPJ/9fDNzc7XyXWNazgIXJ/x/s17LmLW+S7kjgG8AWYHm3813y53sisA04Onn8Y93Od8nlvR74YPL/ycB3u53vOZT3XwNvBr7d5PVzga8BAk4H7i4rL4N+p3AqsCsiHo6IF4CbgAvq0lwA/Eny/1eAd0hSB/PYLi3LGhF3RsRzycMtwHEdzmM75flsAX4T+ATwfCczV4I85f1l4LqIeBogIh7vcB7bKU95A3h58v9RwL4O5q+tIuIbVJYkbuYC4E+jYgswLuk1ZeRl0IPCBLC75vGe5LmGaSLiAPAM8MqO5K698pS11vupXHn0q5bllbQMWBwRX+1kxkqS5/N9HfA6SXdJ2iLp7I7lrv3ylHcdcImkPVSW/f3VzmStK4r+vmet1DWae0CjK/76Prh50vSD3OWQdAmwHHhbqTkqV2Z5Jc0DPglc2qkMlSzP5zufShXSmVTuAv9O0hsjYrLkvJUhT3lXA5+PiP8h6QzgC0l5D5WfvY7r2Hlq0O8U9gCLax4fx8xbzDSNpPlUbkOzbuN6VZ6yIumdwG8A50fEjzqUtzK0Ku+RwBuBv5H0XSr1sBv7uLE573f5zyNiOiIeAXZSCRL9KE953w/cAhAR/wC8lMrkcYMo1++7HQY9KNwDnCjpBEkLqDQkb6xLsxH4peT/i4A7ImnZ6TMty5pUp/wRlYDQz/XN0KK8EfFMRBwTEUsjYimVNpTzI2Jrd7I7Z3m+yxuodCZA0jFUqpMe7mgu2ydPeR8D3gEg6SeoBIX9Hc1l52wEfjHphXQ68ExEfK+MHQ109VFEHJB0ObCZSm+Gz0XEDklXAVsjYiPwx1RuO3dRuUO4uHs5nr2cZb0WOAL4ctKW/lhEnN+1TM9BzvIOjJzl3Qy8S9IDwEFgTUQ82b1cz17O8n4E+IykD1OpSrm0Ty/okHQjlWq/Y5I2ko8BowAR8WkqbSbnAruA54D3lZaXPj2GZmZWgkGvPjIzswIcFMzMLOWgYGZmKQcFMzNLOSiYmVnKQcGsAEn/Nplx9fXdzotZGRwUzIpZDfw9fTqexawVBwWznCQdAaygMr3Cxclz8yR9Klm/4KuSNkm6KHntLZL+VtK9kjaXNaulWTs5KJjltwr43xHx/4CnkoVOLgSWAqcAHwDOAJA0CvwBcFFEvAX4HPBb3ci0WREDPc2FWZutBn43+f+m5PEo8OVkZs5/knRn8vpJVCbk+8tkSpERoJS5aszayUHBLAdJrwTeDrxRUlA5yQfwZ83eAuyIiDM6lEWztnD1kVk+F1FZ+er4ZObVxcAjwBPAe5K2hVdRmdQMKtNWL0rm+UfSqKQ3dCPjZkU4KJjls5qZdwW3AsdSmev+21SmJb+byrTGL1AJJL8t6T5gO/AvO5dds9nxLKlmcyTpiIj4YVLF9E1gRUT8U7fzZTYbblMwm7uvShoHFgC/6YBg/cx3CmZmlnKbgpmZpRwUzMws5aBgZmYpBwUzM0s5KJiZWer/A3kQe5urWl0uAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x = afs[\"Age\"], y = afs[\"Fare\"])\n",
    "plt.title(\"Feature Scaling\")\n",
    "plt.xlabel(\"Age\")\n",
    "plt.ylabel(\"Fare\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* DBSCAN is going to assign points to clusters and return the labels of clusters. \n",
    "* If it cannot assign the value to any cluster (because it is an outlier), it returns -1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.cluster import DBSCAN\n",
    "outlier_detection = DBSCAN(eps = 0.5)\n",
    "\n",
    "clusters = outlier_detection.fit_predict(afs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10, 7))\n",
    "plt.scatter(afs.iloc[:, 0], afs.iloc[:, 1], c=clusters, s=50, cmap='viridis')\n",
    "\n",
    "plt.title('Outlier Detection using DBSACN')\n",
    "plt.ylabel('Fare')\n",
    "plt.xlabel('Age')\n",
    "plt.show()"
   ]
  },
  {
   "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": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}