numpy+pandas.ipynb

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      ],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "url = 'https://raw.githubusercontent.com/JoaquinAmatRodrigo/skforecast/master/data/h2o_exog.csv'\n",
        "data = pd.read_csv(url, sep=',')\n",
        "data"
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        "data = data.rename(columns={'fecha':'date'})\n",
        "data.date = pd.to_datetime(data['date'], format='%Y/%m/%d')\n",
        "data = data.set_index('date')\n",
        "data = data.asfreq('MS')\n",
        "data = data.sort_index()\n",
        "data.head()"
      ],
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              "                   y    exog_1    exog_2\n",
              "date                                    \n",
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      "execution_count": null,
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        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['y', 'exog_1', 'exog_2']"
            ]
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              "                   y    exog_1    exog_2\n",
              "date                                    \n",
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              "1992-09-01  0.534761  0.959610  1.153190\n",
              "1992-10-01  0.568606  0.956205  1.194551\n",
              "...              ...       ...       ...\n",
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              "\n",
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              "    <tr>\n",
              "      <th>date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1992-06-01</th>\n",
              "      <td>0.410534</td>\n",
              "      <td>0.952955</td>\n",
              "      <td>1.067942</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1992-07-01</th>\n",
              "      <td>0.483389</td>\n",
              "      <td>0.958078</td>\n",
              "      <td>1.097376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1992-08-01</th>\n",
              "      <td>0.475463</td>\n",
              "      <td>0.956370</td>\n",
              "      <td>1.122199</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1992-09-01</th>\n",
              "      <td>0.534761</td>\n",
              "      <td>0.959610</td>\n",
              "      <td>1.153190</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1992-10-01</th>\n",
              "      <td>0.568606</td>\n",
              "      <td>0.956205</td>\n",
              "      <td>1.194551</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2008-02-01</th>\n",
              "      <td>0.761822</td>\n",
              "      <td>1.515840</td>\n",
              "      <td>1.786373</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2008-03-01</th>\n",
              "      <td>0.649435</td>\n",
              "      <td>1.506258</td>\n",
              "      <td>1.694264</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2008-04-01</th>\n",
              "      <td>0.827887</td>\n",
              "      <td>1.505253</td>\n",
              "      <td>1.627135</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2008-05-01</th>\n",
              "      <td>0.816255</td>\n",
              "      <td>1.491464</td>\n",
              "      <td>1.555068</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2008-06-01</th>\n",
              "      <td>0.762137</td>\n",
              "      <td>1.459856</td>\n",
              "      <td>1.463507</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>192 rows × 3 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-69896c9e-1b9a-437a-9554-84b1006960b6')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "  "
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    {
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      "source": [
        "data.describe()"
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          "height": 300
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        "id": "8qmpl58UgxRu",
        "outputId": "ec8d01ba-a1bc-40a0-e5c3-3747506bd597"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                y      exog_1      exog_2\n",
              "count  195.000000  195.000000  195.000000\n",
              "mean     0.782026    1.272981    1.478472\n",
              "std      0.219447    0.148954    0.178951\n",
              "min      0.361801    0.949715    1.067942\n",
              "25%      0.599634    1.156923    1.353336\n",
              "50%      0.761822    1.292393    1.463507\n",
              "75%      0.950712    1.396324    1.599487\n",
              "max      1.257238    1.534778    1.891882"
            ],
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              "\n",
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>y</th>\n",
              "      <th>exog_1</th>\n",
              "      <th>exog_2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>195.000000</td>\n",
              "      <td>195.000000</td>\n",
              "      <td>195.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>0.782026</td>\n",
              "      <td>1.272981</td>\n",
              "      <td>1.478472</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.219447</td>\n",
              "      <td>0.148954</td>\n",
              "      <td>0.178951</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.361801</td>\n",
              "      <td>0.949715</td>\n",
              "      <td>1.067942</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>0.599634</td>\n",
              "      <td>1.156923</td>\n",
              "      <td>1.353336</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>0.761822</td>\n",
              "      <td>1.292393</td>\n",
              "      <td>1.463507</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>0.950712</td>\n",
              "      <td>1.396324</td>\n",
              "      <td>1.599487</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1.257238</td>\n",
              "      <td>1.534778</td>\n",
              "      <td>1.891882</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2e5ce95e-758f-47e0-9582-671c737e1d91')\"\n",
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              "              style=\"display:none;\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
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              "\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-2e5ce95e-758f-47e0-9582-671c737e1d91');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
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          "metadata": {},
          "execution_count": 5
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    {
      "cell_type": "code",
      "source": [
        "data.sort_values('y', ascending=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "an3CJTQGg7YX",
        "outputId": "777549d5-8cc2-4455-aa95-603e8a520c42"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                   y    exog_1    exog_2\n",
              "date                                    \n",
              "2004-12-01  1.257238  1.492611  1.856716\n",
              "2006-01-01  1.230691  1.475126  1.832483\n",
              "2007-01-01  1.223319  1.479435  1.823074\n",
              "2003-12-01  1.223235  1.420059  1.785253\n",
              "2008-01-01  1.219941  1.495834  1.856205\n",
              "...              ...       ...       ...\n",
              "1993-04-01  0.413890  1.040893  1.250298\n",
              "1992-06-01  0.410534  0.952955  1.067942\n",
              "1993-02-01  0.387554  1.034009  1.314829\n",
              "1992-04-01  0.379808  0.958792  1.166029\n",
              "1992-05-01  0.361801  0.951993  1.117859\n",
              "\n",
              "[195 rows x 3 columns]"
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>y</th>\n",
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              "    <tr>\n",
              "      <th>date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2004-12-01</th>\n",
              "      <td>1.257238</td>\n",
              "      <td>1.492611</td>\n",
              "      <td>1.856716</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2006-01-01</th>\n",
              "      <td>1.230691</td>\n",
              "      <td>1.475126</td>\n",
              "      <td>1.832483</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2007-01-01</th>\n",
              "      <td>1.223319</td>\n",
              "      <td>1.479435</td>\n",
              "      <td>1.823074</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2003-12-01</th>\n",
              "      <td>1.223235</td>\n",
              "      <td>1.420059</td>\n",
              "      <td>1.785253</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2008-01-01</th>\n",
              "      <td>1.219941</td>\n",
              "      <td>1.495834</td>\n",
              "      <td>1.856205</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>1993-04-01</th>\n",
              "      <td>0.413890</td>\n",
              "      <td>1.040893</td>\n",
              "      <td>1.250298</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1992-06-01</th>\n",
              "      <td>0.410534</td>\n",
              "      <td>0.952955</td>\n",
              "      <td>1.067942</td>\n",
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              "    <tr>\n",
              "      <th>1993-02-01</th>\n",
              "      <td>0.387554</td>\n",
              "      <td>1.034009</td>\n",
              "      <td>1.314829</td>\n",
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              "    <tr>\n",
              "      <th>1992-04-01</th>\n",
              "      <td>0.379808</td>\n",
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              "      <td>1.166029</td>\n",
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              "    <tr>\n",
              "      <th>1992-05-01</th>\n",
              "      <td>0.361801</td>\n",
              "      <td>0.951993</td>\n",
              "      <td>1.117859</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "<p>195 rows × 3 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6745a294-0a9a-4b2f-b983-016f8048b010')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "      \n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
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              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-6745a294-0a9a-4b2f-b983-016f8048b010 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-6745a294-0a9a-4b2f-b983-016f8048b010');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# adding a new column\n",
        "data['total'] = data['exog_1'] + data['exog_2']\n",
        "data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "_BVK5XnOhNO3",
        "outputId": "290ce051-8e5a-45d8-9612-e240a312574e"
      },
      "execution_count": null,
      "outputs": [
        {
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              "                   y    exog_1    exog_2     total\n",
              "date                                              \n",
              "1992-04-01  0.379808  0.958792  1.166029  2.124821\n",
              "1992-05-01  0.361801  0.951993  1.117859  2.069852\n",
              "1992-06-01  0.410534  0.952955  1.067942  2.020898\n",
              "1992-07-01  0.483389  0.958078  1.097376  2.055454\n",
              "1992-08-01  0.475463  0.956370  1.122199  2.078569\n",
              "...              ...       ...       ...       ...\n",
              "2008-02-01  0.761822  1.515840  1.786373  3.302213\n",
              "2008-03-01  0.649435  1.506258  1.694264  3.200522\n",
              "2008-04-01  0.827887  1.505253  1.627135  3.132388\n",
              "2008-05-01  0.816255  1.491464  1.555068  3.046532\n",
              "2008-06-01  0.762137  1.459856  1.463507  2.923363\n",
              "\n",
              "[195 rows x 4 columns]"
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              "      <th>1992-04-01</th>\n",
              "      <td>0.379808</td>\n",
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              "      <th>1992-05-01</th>\n",
              "      <td>0.361801</td>\n",
              "      <td>0.951993</td>\n",
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              "    <tr>\n",
              "      <th>1992-06-01</th>\n",
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              "      <td>0.952955</td>\n",
              "      <td>1.067942</td>\n",
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              "    <tr>\n",
              "      <th>1992-07-01</th>\n",
              "      <td>0.483389</td>\n",
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              "    <tr>\n",
              "      <th>1992-08-01</th>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2008-02-01</th>\n",
              "      <td>0.761822</td>\n",
              "      <td>1.515840</td>\n",
              "      <td>1.786373</td>\n",
              "      <td>3.302213</td>\n",
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              "    <tr>\n",
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              "      <td>1.694264</td>\n",
              "      <td>3.200522</td>\n",
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              "      <th>2008-04-01</th>\n",
              "      <td>0.827887</td>\n",
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              "      <td>1.555068</td>\n",
              "      <td>3.046532</td>\n",
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              "    <tr>\n",
              "      <th>2008-06-01</th>\n",
              "      <td>0.762137</td>\n",
              "      <td>1.459856</td>\n",
              "      <td>1.463507</td>\n",
              "      <td>2.923363</td>\n",
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              "<p>195 rows × 4 columns</p>\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data = data.drop(columns=['total'])\n",
        "data['total'] = data.iloc[:,1:3].sum(axis=1) \n",
        "data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "gRriLfX7hsn2",
        "outputId": "8d69d5c1-528e-4550-d12d-752b3bf42473"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                   y    exog_1    exog_2     total\n",
              "date                                              \n",
              "1992-04-01  0.379808  0.958792  1.166029  2.124821\n",
              "1992-05-01  0.361801  0.951993  1.117859  2.069852\n",
              "1992-06-01  0.410534  0.952955  1.067942  2.020898\n",
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              "1992-08-01  0.475463  0.956370  1.122199  2.078569\n",
              "...              ...       ...       ...       ...\n",
              "2008-02-01  0.761822  1.515840  1.786373  3.302213\n",
              "2008-03-01  0.649435  1.506258  1.694264  3.200522\n",
              "2008-04-01  0.827887  1.505253  1.627135  3.132388\n",
              "2008-05-01  0.816255  1.491464  1.555068  3.046532\n",
              "2008-06-01  0.762137  1.459856  1.463507  2.923363\n",
              "\n",
              "[195 rows x 4 columns]"
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              "      <th>1992-05-01</th>\n",
              "      <td>0.361801</td>\n",
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              "      <td>2.069852</td>\n",
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              "      <th>1992-06-01</th>\n",
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              "    <tr>\n",
              "      <th>1992-07-01</th>\n",
              "      <td>0.483389</td>\n",
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              "      <th>1992-08-01</th>\n",
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              "      <th>2008-02-01</th>\n",
              "      <td>0.761822</td>\n",
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              "      <td>0.762137</td>\n",
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              "<p>195 rows × 4 columns</p>\n",
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              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
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              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "\n",
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              "          document.querySelector('#df-a59c7642-6de3-4859-b243-24f91419fbf4 button.colab-df-convert');\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-a59c7642-6de3-4859-b243-24f91419fbf4');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ub2O3VfWi8oA",
        "outputId": "33d3f7a1-5d9e-47eb-e054-8bdca9263196"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['y', 'exog_1', 'exog_2', 'total'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# move y over next to total\n",
        "\n",
        "data = data[data.iloc[:,1:3] + data.loc[:,'y'] + data.loc[:,'total']]\n",
        "data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "aKvU2jH0jFRY",
        "outputId": "f859681a-e3c7-476d-990f-4e4f3a1ebde2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             y  exog_1  exog_2  total\n",
              "date                                 \n",
              "1992-04-01 NaN     NaN     NaN    NaN\n",
              "1992-05-01 NaN     NaN     NaN    NaN\n",
              "1992-06-01 NaN     NaN     NaN    NaN\n",
              "1992-07-01 NaN     NaN     NaN    NaN\n",
              "1992-08-01 NaN     NaN     NaN    NaN\n",
              "...         ..     ...     ...    ...\n",
              "2008-02-01 NaN     NaN     NaN    NaN\n",
              "2008-03-01 NaN     NaN     NaN    NaN\n",
              "2008-04-01 NaN     NaN     NaN    NaN\n",
              "2008-05-01 NaN     NaN     NaN    NaN\n",
              "2008-06-01 NaN     NaN     NaN    NaN\n",
              "\n",
              "[195 rows x 4 columns]"
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            "text/html": [
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              "      <th>1992-04-01</th>\n",
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              "      <td>NaN</td>\n",
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              "      <th>1992-05-01</th>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>2008-03-01</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <th>2008-04-01</th>\n",
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              "<p>195 rows × 4 columns</p>\n",
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              "\n",
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              "\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-f6474216-d3d2-42a3-ab1d-aeaae75e298a button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-f6474216-d3d2-42a3-ab1d-aeaae75e298a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    }
  ]
}