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      "metadata": {
        "_cell_guid": "ae75669f-e544-944d-3e9d-b012a725d937"
      },
      "outputs": [],
      "source": [
        "from sklearn import tree\n",
        "import csv\n",
        "train_data = []\n",
        "test_data = []\n",
        "test_target = []\n",
        "train_target = []\n",
        "n = []\n",
        "m = []\n",
        "l = 0\n",
        "\n",
        "with open('../input/train.csv') as csvfile:\n",
        "\treader = csv.DictReader(csvfile)\n",
        "\tfor row in reader:\n",
        "        l = l + 1\n",
        "\t\tn = [row['Semana'],row['Agencia_ID'], row['Canal_ID'],row['Ruta_SAK'],row['Cliente_ID'],row['Producto_ID']]\n",
        "\t\ttrain_data.append(n)\n",
        "\t\tm = [row['Demanda_uni_equil']]\n",
        "\t\ttrain_target.append(m)\n",
        "        if(l > 1000):\n",
        "            break\n",
        " print(train_data)\n",
        "\t\t"
      ]
    }
  ],
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