pgm1.ipynb

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   "source": [
    "## Lab Program 1\n",
    "> - Input: .csv file\n",
    "> - Output: predicted hypothesis as .csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['sunny', 'warm', 'normal', 'strong', 'warm', 'same']\n",
      "['sunny', 'warm', '?', 'strong', 'warm', 'same']\n",
      "['sunny', 'warm', '?', 'strong', 'warm', 'same']\n",
      "['sunny', 'warm', '?', 'strong', '?', '?']\n"
     ]
    }
   ],
   "source": [
    "import csv\n",
    "\n",
    "outFile = 'pgm1_out.csv'\n",
    "out_fh = open(outFile,'w')\n",
    "writer = csv.writer(out_fh)\n",
    "\n",
    "with open('pgm1.csv') as fh:\n",
    "    reader = csv.reader(fh)\n",
    "    h = ['0','0','0','0','0','0']\n",
    "    for row in reader:\n",
    "        if row[-1] == 'no':\n",
    "            print(h)\n",
    "            writer.writerows(','.join(h))\n",
    "            continue\n",
    "        for i in range(len(row)-1):\n",
    "            if h[i] != row[i] and h[i] != '0':\n",
    "                h[i] = '?'\n",
    "            elif h[i] == '0':\n",
    "                h[i] = row[i]\n",
    "        writer.writerows(','.join(h))\n",
    "        print(h)\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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