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  {
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   "metadata": {},
   "source": [
    "### Carga en Python de datos en formato csv usando Pandas "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(768, 9)\n",
      "   Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin   BMI  \\\n",
      "0            6      148             72             35        0  33.6   \n",
      "1            1       85             66             29        0  26.6   \n",
      "2            8      183             64              0        0  23.3   \n",
      "3            1       89             66             23       94  28.1   \n",
      "4            0      137             40             35      168  43.1   \n",
      "5            5      116             74              0        0  25.6   \n",
      "6            3       78             50             32       88  31.0   \n",
      "7           10      115              0              0        0  35.3   \n",
      "8            2      197             70             45      543  30.5   \n",
      "9            8      125             96              0        0   0.0   \n",
      "\n",
      "   DiabetesPedigreeFunction  Age  Outcome  \n",
      "0                     0.627   50        1  \n",
      "1                     0.351   31        0  \n",
      "2                     0.672   32        1  \n",
      "3                     0.167   21        0  \n",
      "4                     2.288   33        1  \n",
      "5                     0.201   30        0  \n",
      "6                     0.248   26        1  \n",
      "7                     0.134   29        0  \n",
      "8                     0.158   53        1  \n",
      "9                     0.232   54        1  \n"
     ]
    }
   ],
   "source": [
    "import pandas\n",
    "filename = 'diabetes.csv'\n",
    "data = pandas.read_csv(filename, header=0)\n",
    "\n",
    "print(data.shape)\n",
    "print (data.head(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
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