weather_predict.ipynb

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        "id": "view-in-github",
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        "<a href=\"https://colab.research.google.com/github/vivekananthan28/Weather-Prediction/blob/main/weather_predict.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "cell_type": "markdown",
      "source": [
        "#Importing Panda Library and Load the weather dataset"
      ],
      "metadata": {
        "id": "bbtaSCUF44Fu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "#Load Weather Dataset File\n",
        "weather = pd.read_csv(\"Bangalore.csv\", index_col = \"DATE\")"
      ],
      "metadata": {
        "id": "CbHTFIZSj-iF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Displaying the Dataset"
      ],
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      }
    },
    {
      "cell_type": "code",
      "source": [
        "weather"
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              "                STATION           NAME  PRCP  TAVG  TMAX  TMIN\n",
              "DATE                                                          \n",
              "1980-01-01  IN009010100  BANGALORE, IN   0.0    68  86.0  57.0\n",
              "1980-01-02  IN009010100  BANGALORE, IN   NaN    70  82.0   NaN\n",
              "1980-01-03  IN009010100  BANGALORE, IN   0.0    71  82.0  59.0\n",
              "1980-01-04  IN009010100  BANGALORE, IN   0.0    69  82.0  59.0\n",
              "1980-01-05  IN009010100  BANGALORE, IN   0.0    69  81.0  59.0\n",
              "...                 ...            ...   ...   ...   ...   ...\n",
              "2023-11-13  IN009010100  BANGALORE, IN   NaN    72  83.0  63.0\n",
              "2023-11-14  IN009010100  BANGALORE, IN   NaN    70  83.0  65.0\n",
              "2023-11-15  IN009010100  BANGALORE, IN   0.0    74   NaN  67.0\n",
              "2023-11-16  IN009010100  BANGALORE, IN   NaN    76   NaN  66.0\n",
              "2023-11-17  IN009010100  BANGALORE, IN   NaN    76  85.0  70.0\n",
              "\n",
              "[15893 rows x 6 columns]"
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              "      <th>1980-01-01</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>68</td>\n",
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              "      <th>1980-01-02</th>\n",
              "      <td>IN009010100</td>\n",
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              "      <td>70</td>\n",
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              "      <th>1980-01-03</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>71</td>\n",
              "      <td>82.0</td>\n",
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              "      <th>1980-01-04</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>69</td>\n",
              "      <td>82.0</td>\n",
              "      <td>59.0</td>\n",
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              "      <th>1980-01-05</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>69</td>\n",
              "      <td>81.0</td>\n",
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              "      <th>2023-11-13</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>72</td>\n",
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              "      <th>2023-11-14</th>\n",
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              "      <td>BANGALORE, IN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>70</td>\n",
              "      <td>83.0</td>\n",
              "      <td>65.0</td>\n",
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              "      <th>2023-11-15</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>67.0</td>\n",
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              "      <th>2023-11-16</th>\n",
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              "      <td>BANGALORE, IN</td>\n",
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              "      <td>BANGALORE, IN</td>\n",
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          "metadata": {},
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    {
      "cell_type": "markdown",
      "source": [
        "# Calculate the percentage of missing values"
      ],
      "metadata": {
        "id": "PwyC-wZM5D3Z"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "null_pct = weather.apply(pd.isnull).sum()/weather.shape[0]"
      ],
      "metadata": {
        "id": "NFZomE07krBG"
      },
      "execution_count": null,
      "outputs": []
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      "cell_type": "code",
      "source": [
        "null_pct"
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        "id": "ILezB_Ewlrzp",
        "outputId": "ed23dda8-7797-4322-f55d-f51a8e8a9da8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "STATION    0.000000\n",
              "NAME       0.000000\n",
              "PRCP       0.359781\n",
              "TAVG       0.000000\n",
              "TMAX       0.101365\n",
              "TMIN       0.174731\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Select columns with less than 4% missing values"
      ],
      "metadata": {
        "id": "L6XXk47L5Izw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "valid_columns = weather.columns[null_pct < .04]\n",
        "valid_columns"
      ],
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        "id": "TCMMPVwtmND5",
        "outputId": "3c98063a-8924-4530-f85a-7daba5267fc6",
        "colab": {
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['STATION', 'NAME', 'TAVG'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Filter the dataset to include only valid columns"
      ],
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        "id": "5PiprXBY5mT2"
      }
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    {
      "cell_type": "code",
      "source": [
        "weather = weather[valid_columns].copy()"
      ],
      "metadata": {
        "id": "LfonTng5mwS2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Convert column names to lowercase\n"
      ],
      "metadata": {
        "id": "d7MhpFRH5pct"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "weather.columns = weather.columns.str.lower()\n",
        "weather"
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          "height": 455
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      "execution_count": null,
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        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                station           name  tavg\n",
              "DATE                                        \n",
              "1980-01-01  IN009010100  BANGALORE, IN    68\n",
              "1980-01-02  IN009010100  BANGALORE, IN    70\n",
              "1980-01-03  IN009010100  BANGALORE, IN    71\n",
              "1980-01-04  IN009010100  BANGALORE, IN    69\n",
              "1980-01-05  IN009010100  BANGALORE, IN    69\n",
              "...                 ...            ...   ...\n",
              "2023-11-13  IN009010100  BANGALORE, IN    72\n",
              "2023-11-14  IN009010100  BANGALORE, IN    70\n",
              "2023-11-15  IN009010100  BANGALORE, IN    74\n",
              "2023-11-16  IN009010100  BANGALORE, IN    76\n",
              "2023-11-17  IN009010100  BANGALORE, IN    76\n",
              "\n",
              "[15893 rows x 3 columns]"
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>station</th>\n",
              "      <th>name</th>\n",
              "      <th>tavg</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DATE</th>\n",
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              "    <tr>\n",
              "      <th>1980-01-01</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>68</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-02</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>70</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-03</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-04</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-05</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>2023-11-13</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-14</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>70</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-15</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-16</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-17</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>76</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>15893 rows × 3 columns</p>\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
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              "\n",
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              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
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              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    60% {\n",
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              "\n",
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              "      const quickchartButtonEl =\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-40de819c-444f-4076-8860-1a75845ea6d2 button');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Forward fill to impute missing values"
      ],
      "metadata": {
        "id": "BGWpTBIS5wG4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "weather = weather.ffill()"
      ],
      "metadata": {
        "id": "dtOQUxmqnWwJ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "weather.apply(pd.isnull).sum()"
      ],
      "metadata": {
        "id": "Qp7ArPTFni8p",
        "outputId": "a2837719-7b65-45c0-8397-73fa616a1c5e",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "station    0\n",
              "name       0\n",
              "tavg       0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "weather.dtypes"
      ],
      "metadata": {
        "id": "dnRR8OKUnoS6",
        "outputId": "caac0498-8c92-4318-edcc-156494808385",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "station    object\n",
              "name       object\n",
              "tavg        int64\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "weather.index"
      ],
      "metadata": {
        "id": "S0Y5aecRn6gI",
        "outputId": "d7c81f05-619c-4847-e45f-32c0749947f0",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['1980-01-01', '1980-01-02', '1980-01-03', '1980-01-04', '1980-01-05',\n",
              "       '1980-01-06', '1980-01-07', '1980-01-08', '1980-01-09', '1980-01-10',\n",
              "       ...\n",
              "       '2023-11-08', '2023-11-09', '2023-11-10', '2023-11-11', '2023-11-12',\n",
              "       '2023-11-13', '2023-11-14', '2023-11-15', '2023-11-16', '2023-11-17'],\n",
              "      dtype='object', name='DATE', length=15893)"
            ]
          },
          "metadata": {},
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "weather.index = pd.to_datetime(weather.index)\n",
        "weather.index"
      ],
      "metadata": {
        "id": "RvLi86TyoAVm",
        "outputId": "46364332-7a08-43ad-96be-7e4a44792c40",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DatetimeIndex(['1980-01-01', '1980-01-02', '1980-01-03', '1980-01-04',\n",
              "               '1980-01-05', '1980-01-06', '1980-01-07', '1980-01-08',\n",
              "               '1980-01-09', '1980-01-10',\n",
              "               ...\n",
              "               '2023-11-08', '2023-11-09', '2023-11-10', '2023-11-11',\n",
              "               '2023-11-12', '2023-11-13', '2023-11-14', '2023-11-15',\n",
              "               '2023-11-16', '2023-11-17'],\n",
              "              dtype='datetime64[ns]', name='DATE', length=15893, freq=None)"
            ]
          },
          "metadata": {},
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "weather.index.year.value_counts().sort_index()"
      ],
      "metadata": {
        "id": "nYmptuWGoY7T",
        "outputId": "c35e83fa-8020-46ba-ab76-42b2e5bd13f1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1980    364\n",
              "1981    364\n",
              "1982    353\n",
              "1983    358\n",
              "1984    362\n",
              "1985    360\n",
              "1986    362\n",
              "1987    360\n",
              "1988    359\n",
              "1989    357\n",
              "1990    351\n",
              "1991    360\n",
              "1992    352\n",
              "1993    361\n",
              "1994    362\n",
              "1995    360\n",
              "1996    360\n",
              "1997    360\n",
              "1998    364\n",
              "1999    361\n",
              "2000    365\n",
              "2001    365\n",
              "2002    363\n",
              "2003    363\n",
              "2004    366\n",
              "2005    365\n",
              "2006    365\n",
              "2007    362\n",
              "2008    366\n",
              "2009    364\n",
              "2010    365\n",
              "2011    360\n",
              "2012    366\n",
              "2013    365\n",
              "2014    365\n",
              "2015    365\n",
              "2016    366\n",
              "2017    365\n",
              "2018    365\n",
              "2019    365\n",
              "2020    366\n",
              "2021    361\n",
              "2022    364\n",
              "2023    321\n",
              "Name: DATE, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "weather[\"tavg\"].plot()"
      ],
      "metadata": {
        "id": "Z_D7XnbUpPsr",
        "outputId": "a2c9c333-dc50-4310-9adc-e343a613898a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='DATE'>"
            ]
          },
          "metadata": {},
          "execution_count": 52
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "weather"
      ],
      "metadata": {
        "id": "gJ33e1hbpds4",
        "outputId": "052d3d6c-6a53-4f3c-d304-3706213e823d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                station           name  tavg\n",
              "DATE                                        \n",
              "1980-01-01  IN009010100  BANGALORE, IN    68\n",
              "1980-01-02  IN009010100  BANGALORE, IN    70\n",
              "1980-01-03  IN009010100  BANGALORE, IN    71\n",
              "1980-01-04  IN009010100  BANGALORE, IN    69\n",
              "1980-01-05  IN009010100  BANGALORE, IN    69\n",
              "...                 ...            ...   ...\n",
              "2023-11-13  IN009010100  BANGALORE, IN    72\n",
              "2023-11-14  IN009010100  BANGALORE, IN    70\n",
              "2023-11-15  IN009010100  BANGALORE, IN    74\n",
              "2023-11-16  IN009010100  BANGALORE, IN    76\n",
              "2023-11-17  IN009010100  BANGALORE, IN    76\n",
              "\n",
              "[15893 rows x 3 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-db5eb737-bd95-438d-a66f-5d191d7be40e\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>station</th>\n",
              "      <th>name</th>\n",
              "      <th>tavg</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DATE</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1980-01-01</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>68</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-02</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>70</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-03</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-04</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-05</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-13</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-14</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>70</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-15</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-16</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-17</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>76</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>15893 rows × 3 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-db5eb737-bd95-438d-a66f-5d191d7be40e')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      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",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\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",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-db5eb737-bd95-438d-a66f-5d191d7be40e 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-db5eb737-bd95-438d-a66f-5d191d7be40e');\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",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-44c2c0c5-955f-4487-a14a-581e0e194492\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-44c2c0c5-955f-4487-a14a-581e0e194492')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-44c2c0c5-955f-4487-a14a-581e0e194492 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "weather[\"target\"]=weather.shift (-1)[\"tavg\"]\n",
        "weather"
      ],
      "metadata": {
        "id": "yTE7XkSQpoif",
        "outputId": "d2b36895-9b2d-4185-8653-882a29ec3264",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                station           name  tavg  target\n",
              "DATE                                                \n",
              "1980-01-01  IN009010100  BANGALORE, IN    68    70.0\n",
              "1980-01-02  IN009010100  BANGALORE, IN    70    71.0\n",
              "1980-01-03  IN009010100  BANGALORE, IN    71    69.0\n",
              "1980-01-04  IN009010100  BANGALORE, IN    69    69.0\n",
              "1980-01-05  IN009010100  BANGALORE, IN    69    66.0\n",
              "...                 ...            ...   ...     ...\n",
              "2023-11-13  IN009010100  BANGALORE, IN    72    70.0\n",
              "2023-11-14  IN009010100  BANGALORE, IN    70    74.0\n",
              "2023-11-15  IN009010100  BANGALORE, IN    74    76.0\n",
              "2023-11-16  IN009010100  BANGALORE, IN    76    76.0\n",
              "2023-11-17  IN009010100  BANGALORE, IN    76     NaN\n",
              "\n",
              "[15893 rows x 4 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8a5fba9e-8ef6-4a4f-bf55-7ddfd8d87a7e\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "        vertical-align: top;\n",
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              "\n",
              "    .dataframe thead th {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>station</th>\n",
              "      <th>name</th>\n",
              "      <th>tavg</th>\n",
              "      <th>target</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DATE</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1980-01-01</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>68</td>\n",
              "      <td>70.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-02</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>70</td>\n",
              "      <td>71.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-03</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>71</td>\n",
              "      <td>69.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-04</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>69</td>\n",
              "      <td>69.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-05</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>69</td>\n",
              "      <td>66.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-13</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>72</td>\n",
              "      <td>70.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-14</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>70</td>\n",
              "      <td>74.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-15</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>74</td>\n",
              "      <td>76.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-16</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>76</td>\n",
              "      <td>76.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-17</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>76</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>15893 rows × 4 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8a5fba9e-8ef6-4a4f-bf55-7ddfd8d87a7e')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      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",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\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",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-8a5fba9e-8ef6-4a4f-bf55-7ddfd8d87a7e 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-8a5fba9e-8ef6-4a4f-bf55-7ddfd8d87a7e');\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",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-aadcb328-1075-404e-976e-e6d782cb65a8\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-aadcb328-1075-404e-976e-e6d782cb65a8')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-aadcb328-1075-404e-976e-e6d782cb65a8 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "weather = weather.ffill()\n",
        "weather"
      ],
      "metadata": {
        "id": "5aide8KVqInG",
        "outputId": "c7311056-4649-4011-9739-ae53dc9e40c6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                station           name  tavg  target\n",
              "DATE                                                \n",
              "1980-01-01  IN009010100  BANGALORE, IN    68    70.0\n",
              "1980-01-02  IN009010100  BANGALORE, IN    70    71.0\n",
              "1980-01-03  IN009010100  BANGALORE, IN    71    69.0\n",
              "1980-01-04  IN009010100  BANGALORE, IN    69    69.0\n",
              "1980-01-05  IN009010100  BANGALORE, IN    69    66.0\n",
              "...                 ...            ...   ...     ...\n",
              "2023-11-13  IN009010100  BANGALORE, IN    72    70.0\n",
              "2023-11-14  IN009010100  BANGALORE, IN    70    74.0\n",
              "2023-11-15  IN009010100  BANGALORE, IN    74    76.0\n",
              "2023-11-16  IN009010100  BANGALORE, IN    76    76.0\n",
              "2023-11-17  IN009010100  BANGALORE, IN    76    76.0\n",
              "\n",
              "[15893 rows x 4 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-cc130b0a-23b7-466f-baf3-e1e0d7355e1a\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>station</th>\n",
              "      <th>name</th>\n",
              "      <th>tavg</th>\n",
              "      <th>target</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DATE</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1980-01-01</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>68</td>\n",
              "      <td>70.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-02</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>70</td>\n",
              "      <td>71.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-03</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>71</td>\n",
              "      <td>69.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-04</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>69</td>\n",
              "      <td>69.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-05</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>69</td>\n",
              "      <td>66.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-13</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>72</td>\n",
              "      <td>70.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-14</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>70</td>\n",
              "      <td>74.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-15</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>74</td>\n",
              "      <td>76.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-16</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>76</td>\n",
              "      <td>76.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-17</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>76</td>\n",
              "      <td>76.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>15893 rows × 4 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-cc130b0a-23b7-466f-baf3-e1e0d7355e1a')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      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",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\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",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-cc130b0a-23b7-466f-baf3-e1e0d7355e1a 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-cc130b0a-23b7-466f-baf3-e1e0d7355e1a');\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",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-2751d5b9-1ae1-4b2b-b0e9-ebdb885ae0be\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2751d5b9-1ae1-4b2b-b0e9-ebdb885ae0be')\"\n",
              "            title=\"Suggest charts\"\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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              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-2751d5b9-1ae1-4b2b-b0e9-ebdb885ae0be button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Initialize Ridge Regression with alpha = 0.1"
      ],
      "metadata": {
        "id": "BBeXo-M-52DR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import Ridge\n",
        "\n",
        "rr = Ridge(alpha=.1)"
      ],
      "metadata": {
        "id": "U13sfzx7qbk2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Select predictors excluding target, name, and station columns"
      ],
      "metadata": {
        "id": "iMQoggVa6Q8C"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "predictors = weather.columns[~weather.columns.isin([\"target\",\"name\",\"station\"])]\n",
        "predictors"
      ],
      "metadata": {
        "id": "hh8zdKiyrIQ-",
        "outputId": "2aae15f8-1f16-4cd9-8d3c-411b45704f2a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['tavg'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def backtest(weather,model,predictors,start=3650,step=90):\n",
        "  all_predictors=[]\n",
        "  for i in range(start,weather.shape[0],step):\n",
        "    train = weather.iloc[:i,:]\n",
        "    test = weather.iloc[i:(i+step),:]\n",
        "\n",
        "     # Fit the model on training data\n",
        "    model.fit(train[predictors], train[\"target\"])\n",
        "\n",
        "    # Make predictions on the test data\n",
        "    preds = model.predict(test[predictors])\n",
        "\n",
        "    # Create a DataFrame to compare actual and predicted values\n",
        "    preds = pd.Series(preds, index=test.index)\n",
        "    combined = pd.concat([test[\"target\"],preds], axis=1)\n",
        "\n",
        "    combined.columns = [\"actual\",\"prediction\"]\n",
        "\n",
        "    # Calculate the absolute difference between actual and predicted values\n",
        "    combined[\"diff\"] = (combined[\"prediction\"] - combined[\"actual\"]).abs()\n",
        "    all_predictors.append(combined)\n",
        "  return pd.concat(all_predictors, axis=0)\n",
        "\n"
      ],
      "metadata": {
        "id": "BehlCZX7rj-b"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Perform backtesting"
      ],
      "metadata": {
        "id": "eoQDDyDJ6H3o"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "predictions = backtest(weather, rr, predictors)"
      ],
      "metadata": {
        "id": "uGo7kgPBtgWE"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "predictions"
      ],
      "metadata": {
        "id": "BdjPDBxWazum",
        "outputId": "64e5a928-72dc-434a-bc04-81d08a47ee5b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            actual  prediction      diff\n",
              "DATE                                    \n",
              "1990-02-21    76.0   74.946603  1.053397\n",
              "1990-02-22    79.0   75.829016  3.170984\n",
              "1990-02-23    78.0   78.476255  0.476255\n",
              "1990-02-24    77.0   77.593842  0.593842\n",
              "1990-02-25    77.0   76.711429  0.288571\n",
              "...            ...         ...       ...\n",
              "2023-11-13    70.0   72.289946  2.289946\n",
              "2023-11-14    74.0   70.492527  3.507473\n",
              "2023-11-15    76.0   74.087870  1.912130\n",
              "2023-11-16    76.0   75.884675  0.115325\n",
              "2023-11-17    76.0   75.884675  0.115325\n",
              "\n",
              "[12243 rows x 3 columns]"
            ],
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>actual</th>\n",
              "      <th>prediction</th>\n",
              "      <th>diff</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DATE</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1990-02-21</th>\n",
              "      <td>76.0</td>\n",
              "      <td>74.946603</td>\n",
              "      <td>1.053397</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1990-02-22</th>\n",
              "      <td>79.0</td>\n",
              "      <td>75.829016</td>\n",
              "      <td>3.170984</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1990-02-23</th>\n",
              "      <td>78.0</td>\n",
              "      <td>78.476255</td>\n",
              "      <td>0.476255</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1990-02-24</th>\n",
              "      <td>77.0</td>\n",
              "      <td>77.593842</td>\n",
              "      <td>0.593842</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1990-02-25</th>\n",
              "      <td>77.0</td>\n",
              "      <td>76.711429</td>\n",
              "      <td>0.288571</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-13</th>\n",
              "      <td>70.0</td>\n",
              "      <td>72.289946</td>\n",
              "      <td>2.289946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-14</th>\n",
              "      <td>74.0</td>\n",
              "      <td>70.492527</td>\n",
              "      <td>3.507473</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-15</th>\n",
              "      <td>76.0</td>\n",
              "      <td>74.087870</td>\n",
              "      <td>1.912130</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-16</th>\n",
              "      <td>76.0</td>\n",
              "      <td>75.884675</td>\n",
              "      <td>0.115325</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-17</th>\n",
              "      <td>76.0</td>\n",
              "      <td>75.884675</td>\n",
              "      <td>0.115325</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>12243 rows × 3 columns</p>\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import mean_absolute_error\n",
        "\n",
        "mean_absolute_error(predictions[\"actual\"],predictions[\"prediction\"])"
      ],
      "metadata": {
        "id": "HGYFJtSGbG_G",
        "outputId": "e788e4ca-fedf-465a-c498-145a84e39d71",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1.3711067497435663"
            ]
          },
          "metadata": {},
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "predictions[\"diff\"].mean()"
      ],
      "metadata": {
        "id": "3aemD_5NdPTy",
        "outputId": "e32b1270-e672-414b-9a1c-8f71ccef3b2b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1.3711067497435663"
            ]
          },
          "metadata": {},
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Rolling Averages Function"
      ],
      "metadata": {
        "id": "7yWm8g5E6e6D"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def pct_diff(old, new):\n",
        "  return (new-old)/old\n",
        "\n",
        "def compute_rolling(weather, horizon, col):\n",
        "  label = f\"rolling_{horizon}_{col}\"\n",
        "\n",
        "  # Calculate rolling mean and percentage difference\n",
        "  weather[label] = weather[col].rolling(horizon).mean()\n",
        "  weather[f\"{label}_pct\"] = pct_diff(weather[label], weather[col])\n",
        "  return weather\n",
        "\n",
        "# Define rolling horizons\n",
        "rolling_horizons = [3,14]\n",
        "\n",
        "# Apply rolling averages for the 'tavg' column\n",
        "for horizon in rolling_horizons:\n",
        "  for col in [\"tavg\"]:\n",
        "    weather = compute_rolling(weather, horizon, col)"
      ],
      "metadata": {
        "id": "Cs86eGvCeMas"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "weather"
      ],
      "metadata": {
        "id": "Dx7NniNz-8kY",
        "outputId": "034f45d9-6db1-40ea-da18-5c2469ef96dd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                station           name  tavg  target  rolling_3_tavg  \\\n",
              "DATE                                                                   \n",
              "1980-01-01  IN009010100  BANGALORE, IN    68    70.0             NaN   \n",
              "1980-01-02  IN009010100  BANGALORE, IN    70    71.0             NaN   \n",
              "1980-01-03  IN009010100  BANGALORE, IN    71    69.0       69.666667   \n",
              "1980-01-04  IN009010100  BANGALORE, IN    69    69.0       70.000000   \n",
              "1980-01-05  IN009010100  BANGALORE, IN    69    66.0       69.666667   \n",
              "...                 ...            ...   ...     ...             ...   \n",
              "2023-11-13  IN009010100  BANGALORE, IN    72    70.0       73.000000   \n",
              "2023-11-14  IN009010100  BANGALORE, IN    70    74.0       71.666667   \n",
              "2023-11-15  IN009010100  BANGALORE, IN    74    76.0       72.000000   \n",
              "2023-11-16  IN009010100  BANGALORE, IN    76    76.0       73.333333   \n",
              "2023-11-17  IN009010100  BANGALORE, IN    76    76.0       75.333333   \n",
              "\n",
              "            rolling_3_tavg_pct  rolling_14_tavg  rolling_14_tavg_pct  \n",
              "DATE                                                                  \n",
              "1980-01-01                 NaN              NaN                  NaN  \n",
              "1980-01-02                 NaN              NaN                  NaN  \n",
              "1980-01-03            0.019139              NaN                  NaN  \n",
              "1980-01-04           -0.014286              NaN                  NaN  \n",
              "1980-01-05           -0.009569              NaN                  NaN  \n",
              "...                        ...              ...                  ...  \n",
              "2023-11-13           -0.013699        74.071429            -0.027965  \n",
              "2023-11-14           -0.023256        73.785714            -0.051307  \n",
              "2023-11-15            0.027778        73.714286             0.003876  \n",
              "2023-11-16            0.036364        73.714286             0.031008  \n",
              "2023-11-17            0.008850        73.714286             0.031008  \n",
              "\n",
              "[15893 rows x 8 columns]"
            ],
            "text/html": [
              "\n",
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              "      <th>station</th>\n",
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              "      <th>1980-01-01</th>\n",
              "      <td>IN009010100</td>\n",
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              "      <td>70.0</td>\n",
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              "      <th>1980-01-03</th>\n",
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              "      <td>71</td>\n",
              "      <td>69.0</td>\n",
              "      <td>69.666667</td>\n",
              "      <td>0.019139</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-04</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>69</td>\n",
              "      <td>69.0</td>\n",
              "      <td>70.000000</td>\n",
              "      <td>-0.014286</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-05</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>69</td>\n",
              "      <td>66.0</td>\n",
              "      <td>69.666667</td>\n",
              "      <td>-0.009569</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-13</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>72</td>\n",
              "      <td>70.0</td>\n",
              "      <td>73.000000</td>\n",
              "      <td>-0.013699</td>\n",
              "      <td>74.071429</td>\n",
              "      <td>-0.027965</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-14</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>70</td>\n",
              "      <td>74.0</td>\n",
              "      <td>71.666667</td>\n",
              "      <td>-0.023256</td>\n",
              "      <td>73.785714</td>\n",
              "      <td>-0.051307</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-15</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>74</td>\n",
              "      <td>76.0</td>\n",
              "      <td>72.000000</td>\n",
              "      <td>0.027778</td>\n",
              "      <td>73.714286</td>\n",
              "      <td>0.003876</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-16</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>76</td>\n",
              "      <td>76.0</td>\n",
              "      <td>73.333333</td>\n",
              "      <td>0.036364</td>\n",
              "      <td>73.714286</td>\n",
              "      <td>0.031008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-17</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>76</td>\n",
              "      <td>76.0</td>\n",
              "      <td>75.333333</td>\n",
              "      <td>0.008850</td>\n",
              "      <td>73.714286</td>\n",
              "      <td>0.031008</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>15893 rows × 8 columns</p>\n",
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              "\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
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              "          + ' to learn more about interactive tables.';\n",
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              "\n",
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              "      --hover-fill-color: #174EA6;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    80% {\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-45c7409c-2285-4092-8c9c-754c3b47ace5 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Remove rows with NaN values introduced by rolling averages"
      ],
      "metadata": {
        "id": "-Cf91kWx6w-y"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "weather = weather.iloc[14:,:]"
      ],
      "metadata": {
        "id": "ZApMm_vJ_CEy"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "weather"
      ],
      "metadata": {
        "id": "55NU6UCP_MoF",
        "outputId": "1195d958-1924-4eee-9dab-e598467f671f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                station           name  tavg  target  rolling_3_tavg  \\\n",
              "DATE                                                                   \n",
              "1980-01-15  IN009010100  BANGALORE, IN    67    67.0       67.333333   \n",
              "1980-01-16  IN009010100  BANGALORE, IN    67    67.0       67.000000   \n",
              "1980-01-17  IN009010100  BANGALORE, IN    67    68.0       67.000000   \n",
              "1980-01-18  IN009010100  BANGALORE, IN    68    71.0       67.333333   \n",
              "1980-01-19  IN009010100  BANGALORE, IN    71    66.0       68.666667   \n",
              "...                 ...            ...   ...     ...             ...   \n",
              "2023-11-13  IN009010100  BANGALORE, IN    72    70.0       73.000000   \n",
              "2023-11-14  IN009010100  BANGALORE, IN    70    74.0       71.666667   \n",
              "2023-11-15  IN009010100  BANGALORE, IN    74    76.0       72.000000   \n",
              "2023-11-16  IN009010100  BANGALORE, IN    76    76.0       73.333333   \n",
              "2023-11-17  IN009010100  BANGALORE, IN    76    76.0       75.333333   \n",
              "\n",
              "            rolling_3_tavg_pct  rolling_14_tavg  rolling_14_tavg_pct  \n",
              "DATE                                                                  \n",
              "1980-01-15           -0.004950        68.071429            -0.015740  \n",
              "1980-01-16            0.000000        67.857143            -0.012632  \n",
              "1980-01-17            0.000000        67.571429            -0.008457  \n",
              "1980-01-18            0.009901        67.500000             0.007407  \n",
              "1980-01-19            0.033981        67.642857             0.049630  \n",
              "...                        ...              ...                  ...  \n",
              "2023-11-13           -0.013699        74.071429            -0.027965  \n",
              "2023-11-14           -0.023256        73.785714            -0.051307  \n",
              "2023-11-15            0.027778        73.714286             0.003876  \n",
              "2023-11-16            0.036364        73.714286             0.031008  \n",
              "2023-11-17            0.008850        73.714286             0.031008  \n",
              "\n",
              "[15879 rows x 8 columns]"
            ],
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              "<style scoped>\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>station</th>\n",
              "      <th>name</th>\n",
              "      <th>tavg</th>\n",
              "      <th>target</th>\n",
              "      <th>rolling_3_tavg</th>\n",
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              "      <th>rolling_14_tavg</th>\n",
              "      <th>rolling_14_tavg_pct</th>\n",
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              "    <tr>\n",
              "      <th>DATE</th>\n",
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              "      <th>1980-01-15</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>67</td>\n",
              "      <td>67.0</td>\n",
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              "      <td>68.071429</td>\n",
              "      <td>-0.015740</td>\n",
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              "    <tr>\n",
              "      <th>1980-01-16</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>67</td>\n",
              "      <td>67.0</td>\n",
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              "      <td>67.857143</td>\n",
              "      <td>-0.012632</td>\n",
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              "    <tr>\n",
              "      <th>1980-01-17</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>67</td>\n",
              "      <td>68.0</td>\n",
              "      <td>67.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>67.571429</td>\n",
              "      <td>-0.008457</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-18</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>68</td>\n",
              "      <td>71.0</td>\n",
              "      <td>67.333333</td>\n",
              "      <td>0.009901</td>\n",
              "      <td>67.500000</td>\n",
              "      <td>0.007407</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-19</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>71</td>\n",
              "      <td>66.0</td>\n",
              "      <td>68.666667</td>\n",
              "      <td>0.033981</td>\n",
              "      <td>67.642857</td>\n",
              "      <td>0.049630</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
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              "      <td>...</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-13</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>72</td>\n",
              "      <td>70.0</td>\n",
              "      <td>73.000000</td>\n",
              "      <td>-0.013699</td>\n",
              "      <td>74.071429</td>\n",
              "      <td>-0.027965</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-14</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>70</td>\n",
              "      <td>74.0</td>\n",
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              "      <td>-0.023256</td>\n",
              "      <td>73.785714</td>\n",
              "      <td>-0.051307</td>\n",
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              "    <tr>\n",
              "      <th>2023-11-15</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>74</td>\n",
              "      <td>76.0</td>\n",
              "      <td>72.000000</td>\n",
              "      <td>0.027778</td>\n",
              "      <td>73.714286</td>\n",
              "      <td>0.003876</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-16</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>76</td>\n",
              "      <td>76.0</td>\n",
              "      <td>73.333333</td>\n",
              "      <td>0.036364</td>\n",
              "      <td>73.714286</td>\n",
              "      <td>0.031008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-17</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>76</td>\n",
              "      <td>76.0</td>\n",
              "      <td>75.333333</td>\n",
              "      <td>0.008850</td>\n",
              "      <td>73.714286</td>\n",
              "      <td>0.031008</td>\n",
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              "    [theme=dark] .colab-df-convert {\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-45ab1053-de6a-49af-afbc-dc82837d382a')\"\n",
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              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
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              "    border-radius: 50%;\n",
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              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
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              "  .colab-df-quickchart:hover {\n",
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              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
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              "    box-shadow: none;\n",
              "  }\n",
              "\n",
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              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    20% {\n",
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              "    30% {\n",
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              "      border-left-color: var(--fill-color);\n",
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              "      border-right-color: var(--fill-color);\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
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              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 66
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Fill remaining NaN values with 0\n"
      ],
      "metadata": {
        "id": "cPKgiAVt62Bp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "weather = weather.fillna(0)"
      ],
      "metadata": {
        "id": "bHkLUOdi_S4Q"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Expanding Means Function"
      ],
      "metadata": {
        "id": "SSRDghqN6rkm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def expand_mean(df):\n",
        "  return df.expanding(1).mean()\n",
        "\n",
        "# Apply expanding means for the 'tavg' column\n",
        "for col in [\"tavg\"]:\n",
        "  weather[f\"month_avg_{col}\"] = weather[col].groupby(weather.index.month, group_keys=False).apply(expand_mean)\n",
        "  weather[f\"day_avg_{col}\"] = weather[col].groupby(weather.index.day_of_year, group_keys=False).apply(expand_mean)"
      ],
      "metadata": {
        "id": "rPzjBd9v_YbQ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "weather"
      ],
      "metadata": {
        "id": "GZB1DTNnM5Qw",
        "outputId": "eb48ce72-1a79-4f4f-b075-ef6593142aed",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 648
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                station           name  tavg  target  rolling_3_tavg  \\\n",
              "DATE                                                                   \n",
              "1980-01-15  IN009010100  BANGALORE, IN    67    67.0       67.333333   \n",
              "1980-01-16  IN009010100  BANGALORE, IN    67    67.0       67.000000   \n",
              "1980-01-17  IN009010100  BANGALORE, IN    67    68.0       67.000000   \n",
              "1980-01-18  IN009010100  BANGALORE, IN    68    71.0       67.333333   \n",
              "1980-01-19  IN009010100  BANGALORE, IN    71    66.0       68.666667   \n",
              "...                 ...            ...   ...     ...             ...   \n",
              "2023-11-13  IN009010100  BANGALORE, IN    72    70.0       73.000000   \n",
              "2023-11-14  IN009010100  BANGALORE, IN    70    74.0       71.666667   \n",
              "2023-11-15  IN009010100  BANGALORE, IN    74    76.0       72.000000   \n",
              "2023-11-16  IN009010100  BANGALORE, IN    76    76.0       73.333333   \n",
              "2023-11-17  IN009010100  BANGALORE, IN    76    76.0       75.333333   \n",
              "\n",
              "            rolling_3_tavg_pct  rolling_14_tavg  rolling_14_tavg_pct  \\\n",
              "DATE                                                                   \n",
              "1980-01-15           -0.004950        68.071429            -0.015740   \n",
              "1980-01-16            0.000000        67.857143            -0.012632   \n",
              "1980-01-17            0.000000        67.571429            -0.008457   \n",
              "1980-01-18            0.009901        67.500000             0.007407   \n",
              "1980-01-19            0.033981        67.642857             0.049630   \n",
              "...                        ...              ...                  ...   \n",
              "2023-11-13           -0.013699        74.071429            -0.027965   \n",
              "2023-11-14           -0.023256        73.785714            -0.051307   \n",
              "2023-11-15            0.027778        73.714286             0.003876   \n",
              "2023-11-16            0.036364        73.714286             0.031008   \n",
              "2023-11-17            0.008850        73.714286             0.031008   \n",
              "\n",
              "            month_avg_tavg  day_avg_tavg  \n",
              "DATE                                      \n",
              "1980-01-15       67.000000     67.000000  \n",
              "1980-01-16       67.000000     67.000000  \n",
              "1980-01-17       67.000000     67.000000  \n",
              "1980-01-18       67.250000     68.000000  \n",
              "1980-01-19       68.000000     71.000000  \n",
              "...                    ...           ...  \n",
              "2023-11-13       71.650929     71.863636  \n",
              "2023-11-14       71.649652     71.659091  \n",
              "2023-11-15       71.651468     71.395349  \n",
              "2023-11-16       71.654826     71.340909  \n",
              "2023-11-17       71.658179     71.590909  \n",
              "\n",
              "[15879 rows x 10 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-a840b46d-46c3-4be0-a985-07b206388c0c\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>station</th>\n",
              "      <th>name</th>\n",
              "      <th>tavg</th>\n",
              "      <th>target</th>\n",
              "      <th>rolling_3_tavg</th>\n",
              "      <th>rolling_3_tavg_pct</th>\n",
              "      <th>rolling_14_tavg</th>\n",
              "      <th>rolling_14_tavg_pct</th>\n",
              "      <th>month_avg_tavg</th>\n",
              "      <th>day_avg_tavg</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DATE</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1980-01-15</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>67</td>\n",
              "      <td>67.0</td>\n",
              "      <td>67.333333</td>\n",
              "      <td>-0.004950</td>\n",
              "      <td>68.071429</td>\n",
              "      <td>-0.015740</td>\n",
              "      <td>67.000000</td>\n",
              "      <td>67.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-16</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>67</td>\n",
              "      <td>67.0</td>\n",
              "      <td>67.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>67.857143</td>\n",
              "      <td>-0.012632</td>\n",
              "      <td>67.000000</td>\n",
              "      <td>67.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-17</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>67</td>\n",
              "      <td>68.0</td>\n",
              "      <td>67.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>67.571429</td>\n",
              "      <td>-0.008457</td>\n",
              "      <td>67.000000</td>\n",
              "      <td>67.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-18</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>68</td>\n",
              "      <td>71.0</td>\n",
              "      <td>67.333333</td>\n",
              "      <td>0.009901</td>\n",
              "      <td>67.500000</td>\n",
              "      <td>0.007407</td>\n",
              "      <td>67.250000</td>\n",
              "      <td>68.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1980-01-19</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>71</td>\n",
              "      <td>66.0</td>\n",
              "      <td>68.666667</td>\n",
              "      <td>0.033981</td>\n",
              "      <td>67.642857</td>\n",
              "      <td>0.049630</td>\n",
              "      <td>68.000000</td>\n",
              "      <td>71.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-13</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>72</td>\n",
              "      <td>70.0</td>\n",
              "      <td>73.000000</td>\n",
              "      <td>-0.013699</td>\n",
              "      <td>74.071429</td>\n",
              "      <td>-0.027965</td>\n",
              "      <td>71.650929</td>\n",
              "      <td>71.863636</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-14</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>70</td>\n",
              "      <td>74.0</td>\n",
              "      <td>71.666667</td>\n",
              "      <td>-0.023256</td>\n",
              "      <td>73.785714</td>\n",
              "      <td>-0.051307</td>\n",
              "      <td>71.649652</td>\n",
              "      <td>71.659091</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-15</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>74</td>\n",
              "      <td>76.0</td>\n",
              "      <td>72.000000</td>\n",
              "      <td>0.027778</td>\n",
              "      <td>73.714286</td>\n",
              "      <td>0.003876</td>\n",
              "      <td>71.651468</td>\n",
              "      <td>71.395349</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-16</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>76</td>\n",
              "      <td>76.0</td>\n",
              "      <td>73.333333</td>\n",
              "      <td>0.036364</td>\n",
              "      <td>73.714286</td>\n",
              "      <td>0.031008</td>\n",
              "      <td>71.654826</td>\n",
              "      <td>71.340909</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-17</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>76</td>\n",
              "      <td>76.0</td>\n",
              "      <td>75.333333</td>\n",
              "      <td>0.008850</td>\n",
              "      <td>73.714286</td>\n",
              "      <td>0.031008</td>\n",
              "      <td>71.658179</td>\n",
              "      <td>71.590909</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>15879 rows × 10 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a840b46d-46c3-4be0-a985-07b206388c0c')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      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",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\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",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-a840b46d-46c3-4be0-a985-07b206388c0c 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-a840b46d-46c3-4be0-a985-07b206388c0c');\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",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-7178a995-0c58-4787-8ef1-3923bbfe094d\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7178a995-0c58-4787-8ef1-3923bbfe094d')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-7178a995-0c58-4787-8ef1-3923bbfe094d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 69
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "predictors = weather.columns[~weather.columns.isin([\"target\",\"name\",\"station\"])]\n",
        "predictors"
      ],
      "metadata": {
        "id": "cnHYIdZeNPR5",
        "outputId": "a273f913-332c-4f2d-9fdd-1aaa476392ee",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['tavg', 'rolling_3_tavg', 'rolling_3_tavg_pct', 'rolling_14_tavg',\n",
              "       'rolling_14_tavg_pct', 'month_avg_tavg', 'day_avg_tavg'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Perform backtesting on the modified dataset"
      ],
      "metadata": {
        "id": "ZI8lXuI56-y3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "predictions = backtest(weather, rr, predictors)"
      ],
      "metadata": {
        "id": "CJwCJoJxNTY8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Evaluate Mean Absolute Error"
      ],
      "metadata": {
        "id": "MhhCKFRt7BTY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "mean_absolute_error(predictions[\"actual\"],predictions[\"prediction\"])"
      ],
      "metadata": {
        "id": "X3qkVPD4NfoF",
        "outputId": "3e7bba47-aa63-4924-eebe-04311d60eb8e",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1.2939585410410324"
            ]
          },
          "metadata": {},
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Analyze top differences in predictions"
      ],
      "metadata": {
        "id": "u8TGph2D7Hrm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "predictions.sort_values(\"diff\",ascending=False)"
      ],
      "metadata": {
        "id": "Tq5TGCYJNkOX",
        "outputId": "05419ad6-994e-4153-cb18-7610007ac593",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            actual  prediction       diff\n",
              "DATE                                     \n",
              "1999-04-21    71.0   82.717068  11.717068\n",
              "1995-08-16    83.0   72.398891  10.601109\n",
              "2010-03-30    73.0   81.510185   8.510185\n",
              "2004-05-02    73.0   81.451081   8.451081\n",
              "1991-05-11    85.0   76.967882   8.032118\n",
              "...            ...         ...        ...\n",
              "1993-04-01    78.0   77.999307   0.000693\n",
              "2015-03-09    77.0   76.999351   0.000649\n",
              "2019-12-28    71.0   71.000503   0.000503\n",
              "2012-09-10    74.0   74.000350   0.000350\n",
              "1999-12-12    69.0   69.000136   0.000136\n",
              "\n",
              "[12229 rows x 3 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-dfe5d271-de8a-45e8-aa14-17e92f6c6b22\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "    .dataframe thead th {\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>actual</th>\n",
              "      <th>prediction</th>\n",
              "      <th>diff</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DATE</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1999-04-21</th>\n",
              "      <td>71.0</td>\n",
              "      <td>82.717068</td>\n",
              "      <td>11.717068</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1995-08-16</th>\n",
              "      <td>83.0</td>\n",
              "      <td>72.398891</td>\n",
              "      <td>10.601109</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010-03-30</th>\n",
              "      <td>73.0</td>\n",
              "      <td>81.510185</td>\n",
              "      <td>8.510185</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2004-05-02</th>\n",
              "      <td>73.0</td>\n",
              "      <td>81.451081</td>\n",
              "      <td>8.451081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1991-05-11</th>\n",
              "      <td>85.0</td>\n",
              "      <td>76.967882</td>\n",
              "      <td>8.032118</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1993-04-01</th>\n",
              "      <td>78.0</td>\n",
              "      <td>77.999307</td>\n",
              "      <td>0.000693</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015-03-09</th>\n",
              "      <td>77.0</td>\n",
              "      <td>76.999351</td>\n",
              "      <td>0.000649</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-12-28</th>\n",
              "      <td>71.0</td>\n",
              "      <td>71.000503</td>\n",
              "      <td>0.000503</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2012-09-10</th>\n",
              "      <td>74.0</td>\n",
              "      <td>74.000350</td>\n",
              "      <td>0.000350</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1999-12-12</th>\n",
              "      <td>69.0</td>\n",
              "      <td>69.000136</td>\n",
              "      <td>0.000136</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>12229 rows × 3 columns</p>\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      border-radius: 50%;\n",
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              "      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",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\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",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "  </style>\n",
              "\n",
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              "      const buttonEl =\n",
              "        document.querySelector('#df-dfe5d271-de8a-45e8-aa14-17e92f6c6b22 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-dfe5d271-de8a-45e8-aa14-17e92f6c6b22');\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",
              "        const docLink = document.createElement('div');\n",
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              "        element.appendChild(docLink);\n",
              "      }\n",
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              "\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-6049b944-8680-446b-864b-14cb41bc7ef0 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Display a specific date range and the corresponding differences"
      ],
      "metadata": {
        "id": "wwOJQN1R7K_Y"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "weather.loc[\"2000-11-01\":\"2000-11-15\"]"
      ],
      "metadata": {
        "id": "f6vtLFmnNuM2",
        "outputId": "6a8ff7fb-f656-4d84-f0ed-fa49ad49b1e1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 831
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                station           name  tavg  target  rolling_3_tavg  \\\n",
              "DATE                                                                   \n",
              "2000-11-01  IN009010100  BANGALORE, IN    73    74.0       72.666667   \n",
              "2000-11-02  IN009010100  BANGALORE, IN    74    74.0       73.666667   \n",
              "2000-11-03  IN009010100  BANGALORE, IN    74    74.0       73.666667   \n",
              "2000-11-04  IN009010100  BANGALORE, IN    74    74.0       74.000000   \n",
              "2000-11-05  IN009010100  BANGALORE, IN    74    75.0       74.000000   \n",
              "2000-11-06  IN009010100  BANGALORE, IN    75    73.0       74.333333   \n",
              "2000-11-07  IN009010100  BANGALORE, IN    73    72.0       74.000000   \n",
              "2000-11-08  IN009010100  BANGALORE, IN    72    72.0       73.333333   \n",
              "2000-11-09  IN009010100  BANGALORE, IN    72    72.0       72.333333   \n",
              "2000-11-10  IN009010100  BANGALORE, IN    72    72.0       72.000000   \n",
              "2000-11-11  IN009010100  BANGALORE, IN    72    72.0       72.000000   \n",
              "2000-11-12  IN009010100  BANGALORE, IN    72    72.0       72.000000   \n",
              "2000-11-13  IN009010100  BANGALORE, IN    72    72.0       72.000000   \n",
              "2000-11-14  IN009010100  BANGALORE, IN    72    71.0       72.000000   \n",
              "2000-11-15  IN009010100  BANGALORE, IN    71    71.0       71.666667   \n",
              "\n",
              "            rolling_3_tavg_pct  rolling_14_tavg  rolling_14_tavg_pct  \\\n",
              "DATE                                                                   \n",
              "2000-11-01            0.004587        72.571429             0.005906   \n",
              "2000-11-02            0.004525        72.571429             0.019685   \n",
              "2000-11-03            0.004525        72.642857             0.018682   \n",
              "2000-11-04            0.000000        72.785714             0.016683   \n",
              "2000-11-05            0.000000        73.000000             0.013699   \n",
              "2000-11-06            0.008969        73.285714             0.023392   \n",
              "2000-11-07           -0.013514        73.357143            -0.004869   \n",
              "2000-11-08           -0.018182        73.357143            -0.018500   \n",
              "2000-11-09           -0.004608        73.285714            -0.017544   \n",
              "2000-11-10            0.000000        73.142857            -0.015625   \n",
              "2000-11-11            0.000000        73.071429            -0.014663   \n",
              "2000-11-12            0.000000        73.000000            -0.013699   \n",
              "2000-11-13            0.000000        73.071429            -0.014663   \n",
              "2000-11-14            0.000000        72.928571            -0.012733   \n",
              "2000-11-15           -0.009302        72.785714            -0.024534   \n",
              "\n",
              "            month_avg_tavg  day_avg_tavg  \n",
              "DATE                                      \n",
              "2000-11-01       71.269492     72.000000  \n",
              "2000-11-02       71.274112     71.904762  \n",
              "2000-11-03       71.278716     72.380952  \n",
              "2000-11-04       71.283305     72.250000  \n",
              "2000-11-05       71.287879     71.526316  \n",
              "2000-11-06       71.294118     72.650000  \n",
              "2000-11-07       71.296980     71.904762  \n",
              "2000-11-08       71.298157     72.095238  \n",
              "2000-11-09       71.299331     71.850000  \n",
              "2000-11-10       71.300501     71.619048  \n",
              "2000-11-11       71.301667     71.857143  \n",
              "2000-11-12       71.302829     71.666667  \n",
              "2000-11-13       71.303987     71.238095  \n",
              "2000-11-14       71.305141     70.350000  \n",
              "2000-11-15       71.304636     70.666667  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-3e71a5e8-9cb6-4d2a-ade6-0276d8649eb8\" class=\"colab-df-container\">\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>station</th>\n",
              "      <th>name</th>\n",
              "      <th>tavg</th>\n",
              "      <th>target</th>\n",
              "      <th>rolling_3_tavg</th>\n",
              "      <th>rolling_3_tavg_pct</th>\n",
              "      <th>rolling_14_tavg</th>\n",
              "      <th>rolling_14_tavg_pct</th>\n",
              "      <th>month_avg_tavg</th>\n",
              "      <th>day_avg_tavg</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DATE</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "      <th></th>\n",
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              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2000-11-01</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>73</td>\n",
              "      <td>74.0</td>\n",
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              "      <td>72.000000</td>\n",
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              "    <tr>\n",
              "      <th>2000-11-02</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>74</td>\n",
              "      <td>74.0</td>\n",
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              "      <td>71.904762</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2000-11-03</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>74</td>\n",
              "      <td>74.0</td>\n",
              "      <td>73.666667</td>\n",
              "      <td>0.004525</td>\n",
              "      <td>72.642857</td>\n",
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              "      <td>71.278716</td>\n",
              "      <td>72.380952</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2000-11-04</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>74</td>\n",
              "      <td>74.0</td>\n",
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              "      <td>72.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2000-11-05</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>74</td>\n",
              "      <td>75.0</td>\n",
              "      <td>74.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>73.000000</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>71.287879</td>\n",
              "      <td>71.526316</td>\n",
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              "    <tr>\n",
              "      <th>2000-11-06</th>\n",
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              "      <td>BANGALORE, IN</td>\n",
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              "      <td>71.294118</td>\n",
              "      <td>72.650000</td>\n",
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              "    <tr>\n",
              "      <th>2000-11-07</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>73</td>\n",
              "      <td>72.0</td>\n",
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              "      <td>71.296980</td>\n",
              "      <td>71.904762</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2000-11-08</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>72</td>\n",
              "      <td>72.0</td>\n",
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              "      <td>71.298157</td>\n",
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              "      <th>2000-11-09</th>\n",
              "      <td>IN009010100</td>\n",
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              "    <tr>\n",
              "      <th>2000-11-11</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>72</td>\n",
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              "      <th>2000-11-12</th>\n",
              "      <td>IN009010100</td>\n",
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              "      <td>72</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>2000-11-13</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>72</td>\n",
              "      <td>72.0</td>\n",
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              "    <tr>\n",
              "      <th>2000-11-14</th>\n",
              "      <td>IN009010100</td>\n",
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              "      <td>72</td>\n",
              "      <td>71.0</td>\n",
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              "    <tr>\n",
              "      <th>2000-11-15</th>\n",
              "      <td>IN009010100</td>\n",
              "      <td>BANGALORE, IN</td>\n",
              "      <td>71</td>\n",
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              "      <td>70.666667</td>\n",
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              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-3e71a5e8-9cb6-4d2a-ade6-0276d8649eb8 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-3e71a5e8-9cb6-4d2a-ade6-0276d8649eb8');\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",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-d232e867-4d4a-48ad-85ae-d08386eb377d\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d232e867-4d4a-48ad-85ae-d08386eb377d')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-d232e867-4d4a-48ad-85ae-d08386eb377d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Visualize the distribution of prediction differences"
      ],
      "metadata": {
        "id": "NwaYsjS07O_J"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "predictions[\"diff\"].round().value_counts().sort_index().plot()"
      ],
      "metadata": {
        "id": "H7waVhivOWu_",
        "outputId": "3f9d94ef-ae06-415c-f41c-90aba38b941a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 75
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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kZKiysjLYpmN4CZwPnDtXG4/Ho8bGRsXHx3/hvZubm9XcfGo1WY/H092P1qt6e/fpc7FYLJoyLFWrd1Vpc9kJTRrS7/wvAgDARN26A3Po0CE98MAD+vOf/6y4OHPvGpxu6dKlcrlcwUd2drbZJZ2Vz28E78D01u7T58PGjgCASNKtAFNcXKzq6mpNmjRJMTExiomJUWFhoZ599lnFxMQoIyNDXq9XNTU1nV5XVVWlzMxMSVJmZuYXZiUFfj5fG6fTeca7L5K0ZMkSud3u4OPQoUPd+Wi96pPPa3SyoUXJjhhdMSTF7HIkSVNzTg3k9fsNk6sBAODcuhVgbrzxRm3fvl0lJSXBx5QpUzRv3rzg89jYWK1Zsyb4mtLSUpWXlys3N1eSlJubq+3bt6u6ujrYZvXq1XI6nRozZkywTcdrBNoErnEmDodDTqez0yNcBXafvvqy/oq1hcdSPGOznIqPtcnd2KK91XVmlwMAwDl1awxMcnKyxo0b1+lYYmKi0tLSgsfvvvtuLVq0SKmpqXI6nfre976n3NxczZgxQ5I0e/ZsjRkzRnfccYeeeOIJVVZW6uGHH1ZBQYEcDock6d5779VvfvMbPfTQQ/r2t7+t999/X6+//rpWrlzZE5/ZdOE0/iUg1mbVpKEp+te+49p04IRGZiabXRIAAGfV4//5//TTT2vOnDmaO3euZs6cqczMTL355pvB8zabTStWrJDNZlNubq6+9a1v6c4779Rjjz0WbJOTk6OVK1dq9erVmjhxop566im99NJLysvL6+lye93Jeq+2fV4jSbrWpO0Dzia4HgwL2gEAwpzFMIyoHPDg8XjkcrnkdrvDqjvp7W0V+v5fPtbIjGStWjjT7HI62bDvmP7jpY0a6IrThh/eIIvFvNWBAQB9U1f/fofHAIw+ZF1p++q7YXb3RZKuGNJPMVaLjribdLim0exyAAA4KwJML/L7Da3f0777dBiNfwmIt9s0bpBLEtOpAQDhjQDTi3Yd8ehYXbMS7DZNHhaei8UFNnbcVMa+SACA8EWA6UWB6dNXXtpfjhibydWc2ZShbcGKOzAAgHBGgOlF4Tz+JSAwE2lfdZ1O1HtNrgYAgDMjwPQSd2OLtpbXSArP8S8B/RLtuiw9SRJ3YQAA4YsA00v+te+YfH5DlwxIVHZqgtnlnFNwWwHWgwEAhCkCTC8pbF9997oR4bF547mwsSMAINwRYHqBYRjBAbzhPP4lIHAHZkeFR/XNrSZXAwDAFxFgekFpVa0qPU1yxFg1vT0chLNBKfEalBIvn9/Qx+3jdgAACCcEmF4Q6D7KvTRNcbHhOX36dFOHMZ0aABC+CDC9IBx3nz6f4EBeAgwAIAwRYEKsrrlVWw62hYDrRob/AN6AwEDej8tr1OLzm1wNAACdEWBCbMO+Y2rxGRqSmqBhaeE9fbqjSwckKSUhVo0tPu047Da7HAAAOiHAhFhg9tF1IwfIYrGYXE3XWa0WTRlKNxIAIDwRYEKo0/TpCBr/EjAtp20gLxs7AgDCDQEmhD47Wq/PTzbKbrMq99I0s8vptsC+SFsOnpDfb5hcDQAApxBgQihw92VaTqoS7DEmV9N94wa5FB9rU01Di/YdrTO7HAAAgggwIRTcfToCu48kKdZm1RVDUiRJm9gXCQAQRggwIdLo9WljWWD6dGQGGOlUNxIDeQEA4YQAEyIf7T8ub6tfWa44DU9PMrucCzatfUG7LQcYyAsACB8EmBA5tXljekRNnz7dFUNSFGO16HBNow7XNJpdDgAAkggwIRPp418CEuwxGjvIJUnazDgYAECYIMCEwIFj9TpwvEExVouuGh5506dPN3Vo+3owjIMBAIQJAkwIrN/b1n00eWg/JcfFmlzNxQtu7MgdGABAmCDAhEBw9+kInn3UUWAm0t7qOp2s95pcDQAABJge19TiU9FnxyVJ142InN2nzyU10R6cScV0agBAOCDA9LDNB06oscWn9GSHRg9MNrucHsN6MACAcEKA6WGFpac2b4zk6dOnC27syHowAIAwQIDpYev2RNf4l4DAHZidh91q8LaaXA0AoK8jwPSgz082aF91nawW6Zrh0RVgBvdLUJYrTq1+QyXlNWaXAwDo4wgwPWj9nmOSpCuG9JMrIfKnT58uMJ2a9WAAAGYjwPSgaFl992ymMJAXABAmCDA9xNvq14bA9OkoG/8SMK09wGw9WKMWn9/kagAAfRkBpocUHzypuuZWpSXaNS7LZXY5IXFZepJc8bFqbPFpZ4XH7HIAAH0YAaaHBHafnjligKzW6Jk+3ZHVatHUYW3TqdlWAABgJgJMD4n28S8BgenUDOQFAJiJANMDqjxN2l1ZK4tFuuay/maXE1KBmUhbDpyQ32+YXA0AoK8iwPSAQPfRhEEupSU5TK4mtMZluRQXa9XJhhZ9drTO7HIAAH0UAaYHdNw+INrZY6y6IjuwrQDdSAAAcxBgLlKrz68P9ga2D4iO3afP51Q3EvsiAQDMQYC5SCWHauRpapUrPlaXZ6eYXU6vCKwHs4mZSAAAkxBgLlJg/Ms1l/WXLUqnT5/uiiEpslktOlzTqIqaRrPLAQD0QQSYi7SuD41/CUh0xGhsllMS2woAAMxBgLkIx+qatf2wW1LfCjBSh/Vg6EYCAJiAAHMR1rd3H40Z6FS6M87kanrXVDZ2BACYiABzEQLjX6J188ZzCWwpsKeqTifrvSZXAwDoawgwF8jnN4J3YPpa95EkpSU5dOmAREnSloNMpwYA9C4CzAXaftitkw0tSnbEaNLQfmaXY4ppOXQjAQDMQYC5QIHVd68a3l+xtr75NTKQFwBglr75l7cHrNvTvvt0Hxz/EhAIMDsOu9XgbTW5GgBAX0KAuQAn673adqhGUt8c/xIwuF+8Brri1Oo3VNL+fQAA0BsIMBfgg33H5DekERlJykqJN7sc01gsFk0JTKcuYyAvAKD3EGAuQGD8y3V9ZPPGc5nWPp2agbwAgN5EgOkmv98Irv/Sl7uPAgI7U28tP6lWn9/kagAAfQUBppt2HfHoWF2zEuw2TRnWN6dPdzQiPVmu+Fg1eH3aWeExuxwAQB/RrQDzwgsvaMKECXI6nXI6ncrNzdW7774bPN/U1KSCggKlpaUpKSlJc+fOVVVVVadrlJeXKz8/XwkJCUpPT9eDDz6o1tbOM1jWrVunSZMmyeFwaPjw4Vq+fPmFf8IeFrj7cuWlaXLE2EyuxnxWq0VThtKNBADoXd0KMIMHD9bjjz+u4uJibdmyRTfccIO+/vWva+fOnZKkhQsX6p133tEbb7yhwsJCVVRU6JZbbgm+3ufzKT8/X16vVxs2bNDLL7+s5cuX69FHHw22KSsrU35+vq6//nqVlJRowYIFuueee7Rq1aoe+sgXp7AP7j59PoFuJNaDAQD0FothGMbFXCA1NVVPPvmkbr31Vg0YMECvvPKKbr31VknS7t27NXr0aBUVFWnGjBl69913NWfOHFVUVCgjI0OStGzZMi1evFhHjx6V3W7X4sWLtXLlSu3YsSP4Hrfddptqamr03nvvdbkuj8cjl8slt9stp9N5MR+xkyPuRq3fc1QzRwzQQFffnYHUUfHBk5r7wgalJtpV/PAsWSwWs0sCAESorv79vuAxMD6fT6+++qrq6+uVm5ur4uJitbS0aNasWcE2o0aN0pAhQ1RUVCRJKioq0vjx44PhRZLy8vLk8XiCd3GKioo6XSPQJnCNs2lubpbH4+n0CIWBrnh9c+oQwksH4we5FBdr1Yl6rz47Wmd2OQCAPqDbAWb79u1KSkqSw+HQvffeq7feektjxoxRZWWl7Ha7UlJSOrXPyMhQZWWlJKmysrJTeAmcD5w7VxuPx6PGxsaz1rV06VK5XK7gIzs7u7sfDRfIHmPV5dkpkqRNrAcDAOgF3Q4wI0eOVElJiTZu3Kj77rtP8+fP165du0JRW7csWbJEbrc7+Dh06JDZJfUp09oXtNvCQF4AQC+I6e4L7Ha7hg8fLkmaPHmyNm/erGeeeUbf/OY35fV6VVNT0+kuTFVVlTIzMyVJmZmZ2rRpU6frBWYpdWxz+sylqqoqOZ1OxcefvdvG4XDI4XB09+OghwRW5N1EgAEA9IKLXgfG7/erublZkydPVmxsrNasWRM8V1paqvLycuXm5kqScnNztX37dlVXVwfbrF69Wk6nU2PGjAm26XiNQJvANRCeJg3tJ6tF+vxko464z97VBwBAT+hWgFmyZInWr1+vAwcOaPv27VqyZInWrVunefPmyeVy6e6779aiRYu0du1aFRcX66677lJubq5mzJghSZo9e7bGjBmjO+64Q9u2bdOqVav08MMPq6CgIHj35N5779X+/fv10EMPaffu3Xr++ef1+uuva+HChT3/6dFjkhwxGpvlksR0agBA6HWrC6m6ulp33nmnjhw5IpfLpQkTJmjVqlX60pe+JEl6+umnZbVaNXfuXDU3NysvL0/PP/988PU2m00rVqzQfffdp9zcXCUmJmr+/Pl67LHHgm1ycnK0cuVKLVy4UM8884wGDx6sl156SXl5eT30kREqU4elavthtzYfOKGvXz7I7HIAAFHsoteBCVehWgcGZ/fejiO6909bNTIjWasWzjS7HABABAr5OjDA6QIDeUuralXT4DW5GgBANCPAoMf0T3LokgGJkqQtB1gPBgAQOgQY9KjAejBs7AgACCUCDHrUVNaDAQD0AgIMelQgwOw47Faj12dyNQCAaEWAQY/KTo1XhtOhFp+hkkM1ZpcDAIhSBBj0KIvFErwLwzgYAECoEGDQ46blEGAAAKFFgEGPC9yB2XrwpFp9fpOrAQBEIwIMetzIjGQ542JU7/Vp1xGP2eUAAKIQAQY9zmq1BFflZWNHAEAoEGAQEgzkBQCEEgEGITEtp5+kti0FonS/UACAiQgwCIlxg1xyxFh1vN6rz47Wm10OACDKEGAQEo4YmyZmp0iSttCNBADoYQQYhMyM9vVg1u89anIlAIBoQ4BByMwemylJen93tRq8rSZXAwCIJgQYhMzYLKeGpiWoqcWv93dXm10OACCKEGAQMhaLRfnjB0qSVn5yxORqAADRhACDkMqf0BZg3t9drbpmupEAAD2DAIOQGjPQqZz+iWpu9WvNp1VmlwMAiBIEGIQU3UgAgFAgwCDk5kxsCzDr9hxVbVOLydUAAKIBAQYhNzIjWZcOSJS31a81nzIbCQBw8QgwCDmLxaL8CVmSpBV0IwEAegABBr1iTvtspPV7jspDNxIA4CIRYNArRmQk67L0JHl9fq3eyWwkAMDFIcCg1wTWhFm5nW4kAMDFIcCg1wS6kT7Ye1TuBrqRAAAXjgCDXjM8PVmjMpPV4jP0j12VZpcDAIhgBBj0quCidnQjAQAuAgEGveqr7d1IH+49ppoGr8nVAAAiFQEGverSAUkaPdCpVr+hVTvpRgIAXBgCDHpdYDAvi9oBAC4UAQa9LjAOZsNnx3Winm4kAED3EWDQ64b1T9S4QU756EYCAFwgAgxMkT++bW+klXQjAQAuAAEGpjjVjXRMx+uaTa4GABBpCDAwxZC0BE0Y7JLfkN7dQTcSAKB7CDAwTXBRO7qRAADdRICBab7aHmA2lh1XdW2TydUAACIJAQamyU5N0OXZKfIb0iq6kQAA3UCAgalY1A4AcCEIMDDVV9q7kTYdOKFqD91IAICuIcDAVINS4jVpSIoMQ/o7O1QDALqIAAPT5U9oX9SOAAMA6CICDEz31fGZkqTNB06q0k03EgDg/AgwMN1AV7ymDusniW4kAEDXEGAQFoKL2hFgAABdQIBBWPjK+IGyWKTigydVUdNodjkAgDBHgEFYyHDGaeqwVEl0IwEAzo8Ag7DBonYAgK4iwCBsfHlcpqwWqeRQjQ6daDC7HABAGCPAIGykJ8dpek6aJOndHdyFAQCcHQEGYSW/vRtpJd1IAIBzIMAgrAS6kbZ97qYbCQBwVt0KMEuXLtXUqVOVnJys9PR03XzzzSotLe3UpqmpSQUFBUpLS1NSUpLmzp2rqqqqTm3Ky8uVn5+vhIQEpaen68EHH1Rra2unNuvWrdOkSZPkcDg0fPhwLV++/MI+ISJK/ySHci9t60ZiMC8A4Gy6FWAKCwtVUFCgjz76SKtXr1ZLS4tmz56t+vr6YJuFCxfqnXfe0RtvvKHCwkJVVFTolltuCZ73+XzKz8+X1+vVhg0b9PLLL2v58uV69NFHg23KysqUn5+v66+/XiUlJVqwYIHuuecerVq1qgc+MsJd/vjA3kgVJlcCAAhXFsMwjAt98dGjR5Wenq7CwkLNnDlTbrdbAwYM0CuvvKJbb71VkrR7926NHj1aRUVFmjFjht59913NmTNHFRUVysjIkCQtW7ZMixcv1tGjR2W327V48WKtXLlSO3bsCL7XbbfdppqaGr333ntdqs3j8cjlcsntdsvpdF7oR4QJjtc1a9rP18jnN7TuB9dpWP9Es0sCAPSSrv79vqgxMG63W5KUmtq2AFlxcbFaWlo0a9asYJtRo0ZpyJAhKioqkiQVFRVp/PjxwfAiSXl5efJ4PNq5c2ewTcdrBNoErnEmzc3N8ng8nR6ITGlJDl3Z3o3E1gIAgDO54ADj9/u1YMECXXXVVRo3bpwkqbKyUna7XSkpKZ3aZmRkqLKyMtimY3gJnA+cO1cbj8ejxsYzLzO/dOlSuVyu4CM7O/tCPxrCwBxmIwEAzuGCA0xBQYF27NihV199tSfruWBLliyR2+0OPg4dOmR2SbgIs8dkKsZq0a4jHu0/Wmd2OQCAMHNBAeb+++/XihUrtHbtWg0ePDh4PDMzU16vVzU1NZ3aV1VVKTMzM9jm9FlJgZ/P18bpdCo+Pv6MNTkcDjmdzk4PRK5+iXZdNby/JPZGAgB8UbcCjGEYuv/++/XWW2/p/fffV05OTqfzkydPVmxsrNasWRM8VlpaqvLycuXm5kqScnNztX37dlVXVwfbrF69Wk6nU2PGjAm26XiNQJvANdA35LM3EgDgLLoVYAoKCvSnP/1Jr7zyipKTk1VZWanKysrguBSXy6W7775bixYt0tq1a1VcXKy77rpLubm5mjFjhiRp9uzZGjNmjO644w5t27ZNq1at0sMPP6yCggI5HA5J0r333qv9+/froYce0u7du/X888/r9ddf18KFC3v44yOc5Y3JVKzNot2VtdpXXWt2OQCAMNKtAPPCCy/I7Xbruuuu08CBA4OP1157Ldjm6aef1pw5czR37lzNnDlTmZmZevPNN4PnbTabVqxYIZvNptzcXH3rW9/SnXfeqcceeyzYJicnRytXrtTq1as1ceJEPfXUU3rppZeUl5fXAx8ZkcKVEKur27uRVn5SaXI1AIBwclHrwIQz1oGJDv+3+HP9/29s04iMJP1j4bVmlwMACLFeWQcGCLVZYzJkt1m1p6pOe6roRgIAtCHAIKy54mM1c0SgG4nBvACANgQYhL1Ts5EqFKU9ngCAbiLAIOzNGp0he4xVnx2tVyndSAAAEWAQAZLjYnXtiAGS6EYCALQhwCAidNwbiW4kAAABBhHhxtEZcsRYtf9YvT49QjcSAPR1BBhEhCRHjK4fmS5JWrm9wuRqAABmI8AgYnTcG4luJADo2wgwiBg3jEpXXKxVB483aGeFx+xyAAAmIsAgYiQ6YnTDqLZuJHaoBoC+jQCDiJI/PktS2zgYupEAoO8iwCCi3DAqXfGxNh060ajth91mlwMAMAkBBhEl3m7TjaPbZyPRjQQAfRYBBhFnDrORAKDPI8Ag4lw3Ml0JdpsO1zSq5FCN2eUAAExAgEHEiYu1adboDEl0IwFAX0WAQUQKLGr39+1H5PfTjQQAfQ0BBhHp2hEDlOSIUYW7SR/TjQQAfQ4BBhEpLtamL42hGwkA+ioCDCJW/ni6kQCgryLAIGJdM6K/kh0xqvQ0qbj8pNnlAAB6EQEGEcsRY9OXxtKNBAB9EQEGEW1Oh9lIPrqRAKDPIMAgol09fICccTGqrm3WlgMnzC4HANBLCDCIaPYYq/LGZkqSVm6nGwkA+goCDCLeqUXtKulGAoA+ggCDiHfV8P5yxcfqWF2zNpYdN7scAEAvIMAg4sXarPpyoBuJ2UgA0CcQYBAVAt1I7+2oVKvPb3I1AIBQI8AgKuRemqZ+CbE6Xu/VxjJmIwFAtCPAICrE2qz68ri2uzAr6EYCgKhHgEHUmBPsRjpCNxIARDkCDKLG9JxUpSXadbKhRRs+YzYSAEQzAgyiRozNqi+PYzYSAPQFBBhEleBspJ2VaqEbCQCiFgEGUWV6Tpr6JznkbmzRv/YdM7scAECIEGAQVWxWi746nm4kAIh2BBhEnfzxbd1Iq3ZWyttKNxIARCMCDKLOlGGpSk92yNPUqg/3HTW7HABACBBgEHXaupFY1A4AohkBBlEpMBtp9c4qNbf6TK4GANDTCDCISpOH9FOG06Ha5lZ9sIfZSAAQbQgwiErWDt1IK7fTjQQA0YYAg6g1Z0KWJGn1rio1tdCNBADRhACDqHVFdoqyXHGqa25V4R5mIwFANCHAIGp16kZiNhIARBUCDKJaYDbSPz+lGwkAogkBBlHt8uwUDUqJV4PXp3Wl1WaXAwDoIQQYRDWLxRK8C8OidgAQPQgwiHpz2gPMmk+r1eilGwkAogEBBlFv/CCXslPj1dji0/u76UYCgGhAgEHUs1gsyh/ftibMyu0VJlcDAOgJBBj0CYFupPd3V6u+udXkagAAF4sAgz5hbJZTQ9MS1NTipxsJAKIAAQZ9Qls3EovaAUC06HaAWb9+vW666SZlZWXJYrHor3/9a6fzhmHo0Ucf1cCBAxUfH69Zs2Zp7969ndqcOHFC8+bNk9PpVEpKiu6++27V1dV1avPJJ5/ommuuUVxcnLKzs/XEE090/9MBHQT2RlpbWq06upEAIKJ1O8DU19dr4sSJeu655854/oknntCzzz6rZcuWaePGjUpMTFReXp6ampqCbebNm6edO3dq9erVWrFihdavX6/vfve7wfMej0ezZ8/W0KFDVVxcrCeffFI//vGP9eKLL17ARwTajB6YrEv6J6q51a81n1aZXQ4A4GIYF0GS8dZbbwV/9vv9RmZmpvHkk08Gj9XU1BgOh8P4y1/+YhiGYezatcuQZGzevDnY5t133zUsFotx+PBhwzAM4/nnnzf69etnNDc3B9ssXrzYGDlyZJdrc7vdhiTD7XZf6MdDFPrvVbuNoYtXGPe8vPn8jQEAva6rf797dAxMWVmZKisrNWvWrOAxl8ul6dOnq6ioSJJUVFSklJQUTZkyJdhm1qxZslqt2rhxY7DNzJkzZbfbg23y8vJUWlqqkydPnvG9m5ub5fF4Oj2A0wVW5S0sPaoqT9N5WgMAwlWPBpjKykpJUkZGRqfjGRkZwXOVlZVKT0/vdD4mJkapqamd2pzpGh3f43RLly6Vy+UKPrKzsy/+AyHqjMxI1oTBLnl9fv2P/13MBo8AEKGiZhbSkiVL5Ha7g49Dhw6ZXRLCkMVi0bO3XSFXfKxKDtXoP9/cLsMwzC4LANBNPRpgMjMzJUlVVZ0HSFZVVQXPZWZmqrq68zocra2tOnHiRKc2Z7pGx/c4ncPhkNPp7PQAzmRY/0Q9P2+SbFaL3vz4sF76oMzskgAA3dSjASYnJ0eZmZlas2ZN8JjH49HGjRuVm5srScrNzVVNTY2Ki4uDbd5//335/X5Nnz492Gb9+vVqaWkJtlm9erVGjhypfv369WTJ6KOuGt5fj+SPliQtffdTrS1lcTsAiCTdDjB1dXUqKSlRSUmJpLaBuyUlJSovL5fFYtGCBQv005/+VG+//ba2b9+uO++8U1lZWbr55pslSaNHj9aXv/xlfec739GmTZv0r3/9S/fff79uu+02ZWW1rdPxH//xH7Lb7br77ru1c+dOvfbaa3rmmWe0aNGiHvvgwPwrh+m2qdnyG9L3X/lY+6rrzv8iAEB46O70prVr1xqSvvCYP3++YRhtU6kfeeQRIyMjw3A4HMaNN95olJaWdrrG8ePHjdtvv91ISkoynE6ncddddxm1tbWd2mzbts24+uqrDYfDYQwaNMh4/PHHu1Un06jRFc0tPuPWF/5lDF28wrj+ybVGTYPX7JIAoE/r6t9vi2FE5whGj8cjl8slt9vNeBic07G6Zn3t1x+qwt2kmSMG6A//31TZrBazywKAPqmrf7+jZhYScKH6Jzn04p1TFBdr1fo9R/X4u5+aXRIA4DwIMICkcYNceurfL5ck/e6DMv2f4s/NLQgAcE4EGKBd/oSB+v4NwyVJ//nmdm0tP/OqzwAA8xFggA4WzBqh2WMygiv1VrrZbgAAwhEBBujAarXo6W9erpEZyTpa26zv/u8tbDcAAGGIAAOcJtERo5fmT1G/hFh98rlbi//vJ2w3AABhhgADnEF2aoKenzdZMVaL/lZSoWWF+80uCQDQAQEGOIvcS9P0o6+NlSQ9sWq31nxadZ5XAAB6CwEGOIc7ZgzVvOlDZBjSA6+WaG9VrdklAQBEgAHO60c3jdX0nFTVNbfqnj9uUU2D1+ySAKDPI8AA52GPser5eZM0KCVeB4836P5XPlarz292WQDQpxFggC5IS3LopflTlGC36cN9x/Szv7PdAACYiQADdNHogU798hsTJUl/+NcBvba53OSKAKDvIsAA3fDlcQO1cNYISdLDf92hLQdOmFwRAPRNBBigm753w3B9dXymWnyG7v1TsQ7XNJpdEgD0OQQYoJusVov++98navRAp47VefXdP25Ro5ftBgCgNxFggAuQYI/R7+6crLREu3ZWePSD/7ON7QYAoBcRYIALNLhfgl74Vtt2Ays/OaLn1u4zuyQA6DMIMMBFmJaTqp/cPE6S9N//2KN/7Kw0uSIA6BsIMMBFun3aEM3PHSpJWvhaiXZXekyuCACiHwEG6AEPzxmjKy9NU73Xp+/8cYtO1LPdAACEEgEG6AGxNque+49JGpKaoEMnGlXw561qYbsBAAgZAgzQQ/ol2vXS/ClKtNtUtP+4frJil9klAUDUIsAAPWhERrJ+ddsVslikPxYd1J83HjS7JACISgQYoId9aUyGfjB7pCTpR3/bqY37j5tcEQBEHwIMEAL/87pLNWfCQLX6Dd335606dKLB7JIAIKoQYIAQsFgsevLWiRo3yKkT9V59549bVN/canZZABA1CDBAiMTbbXrxjinqn+TQ7spa/eCNbfL72W4AAHoCAQYIoayUeP32jkmKtVn07o5KPfv+XrNLAoCoQIABQmzy0FT97ObxkqRf/XOv3t1+xOSKACDyEWCAXvCNqdn69lU5kqRFr2/Trgq2GwCAi0GAAXrJf351lK65rL8aW9q2Gzhe12x2SQAQsQgwQC+JsVn1m9snaVhagg7XNOq+P2+Vt5XtBgDgQhBggF7kSojVS/OnKMkRo01lJ/Sjt3fKMJiZBADdRYABetnw9GQ9e/vlslikv2wq158+YrsBAOguAgxgghtGZWjxl0dJkn78zi5t2HfM5IoAILIQYACT/I+Zl+jmy7Pk8xv6n69sVflxthsAgK4iwAAmsVgsenzuBE0c7FJNQ4u+88ctqmO7AQDoEgIMYKK4WJt+e8cUpSc7VFpVqxufWqefrtil7Z+7GdwLAOdgMaL0t6TH45HL5ZLb7ZbT6TS7HOCcSg7V6O7lm3W83hs8dkn/RN00MUtfuzxLlw5IMrE6AOg9Xf37TYABwkRzq0+FpUf19rYK/fPTKjW1nFojZtwgp74+cZDmTByoga54E6sEgNAiwBBgEMHqmlv1z11V+lvJYa3fe0y+9l2sLRZp2rBUfe3yLH113ED1S7SbXCkA9CwCDAEGUeJEvVd/335Eb5dUaNOBE8HjMVaLrh0xQF+7PEuzRmco0RFjYpUA0DMIMAQYRKHDNY1asa1Cfyup0K4jpzaEjI+1adaYDH19YpZmjhggewzj8wFEJgIMAQZRbl91rd4uqdDb2yp0oMMaMq74WH11fKa+NnGQpuWkyma1mFglAHQPAYYAgz7CMAx98rlbb2+r0DvbKlRde2qX6wynQzdNaJvJNH6QSxYLYQZAeCPAEGDQB/n8hjbuP663t1Xo79uPyNN0amG8nMC07IlZGp7OtGwA4YkAQ4BBH9fc6tP6Pcf0t5LDX5iWPTbLqa9fnqWbJmYxLRtAWCHAEGCAoPrmVq1un5b9wd5jau0wLXvqsFR9nWnZAMIEAYYAA5xRcFr2tgptKus8LXvmiAH62sQsfWkM07IBmIMAQ4ABzquiplHvbGubybSz4tS07LhYq740JlNfm5ila5mWDaAXEWAIMEC37Kuu09vbKvR2yeFO07LjY23K6Z+onP6JGtY/QcPS2p4PTUtU/yQ7M5sA9CgCDAEGuCDnmpZ9umRHjIZ2CDXD0k6FnNREwg2A7iPAEGCAi+bzGyo7Vq8Dx+p14Hj741iDyo7Vq8LdqHP99kiOi+kQahI1LC1Bw/onKictkcHCAM6qq3+/GaUH4KxsVouGpyedcd2YphafDp1o0IHjDTpwrF5lx9uDzrF6VbibVNvUqk8+d+uTz91feK0rPrY9zCRoaODuTXu4cSXE9sZHAxDhwvoOzHPPPacnn3xSlZWVmjhxon79619r2rRpXXotd2AA8zS1+FR+oqHT3Zu25w2q9DSd87X9EmJPhZr2LqlAwHHGEW6AaBfxd2Bee+01LVq0SMuWLdP06dP1q1/9Snl5eSotLVV6errZ5QE4h7hYm0ZkJGtERvIXzjV6fTp4oi3YlB07dffm4PF6VXmadbKhRScbalRyqOYLr01LtGtoe1dUvwS7YmwWxVqtbf+0WRVjtSjGZlWszaKY4PG2552PfbFtrK3t5xhr23mb1XLGYwDCQ9jegZk+fbqmTp2q3/zmN5Ikv9+v7Oxsfe9739MPf/jD876eOzBA5GnwturAsYYOd2zqdfB4g8qO1+voOQYT9xaLRcHAFAg1MR0CUKzN2vaIscoeON7+PHjOZpU95rSfbYEw1XYde4y1w3mL7B2u2+l9znDObuv8WgZSI9JE9B0Yr9er4uJiLVmyJHjMarVq1qxZKioqMrEyAKGUYI/RmCynxmR98ZdWXXNrsDvq4PEG1TW3qtXnV4vPUKvfr1afcdpzv1r97f9sP36m8+dqezrDkLw+v7y+3vg2ekaM1SJb4GGxyGq1yGppG99ktViC/7Ra1eH8qbY2q9rOW05dw9L++uBrO1wveE2rRTZL+2vP8t5kq8g3d9JgjRvkMuW9wzLAHDt2TD6fTxkZGZ2OZ2RkaPfu3Wd8TXNzs5qbT/0XmsfjOWM7AJEpyRGjcYNcvfbL0jAM+fxGp2DT0h5+Oj4/FYT88vpOHWvx+eX1GWppbXve4u/wPHDO5w8e83Z4XavPkNd3qm1L62k/+wx521/X2n5db/v7n35PvbX9MwChcMWQfgSYi7V06VL913/9l9llAIgSFoulrXvI1jamJ1L42gOXtz0ceX1++fyG/H7J1x7KDMPo8LztNT7DkN9vyN/+s7/9vN8IPNcXXus3Tl3XH7iGobbnp73W37FN+z8R+S4zcWf7sAww/fv3l81mU1VVVafjVVVVyszMPONrlixZokWLFgV/9ng8ys7ODmmdABBu2rp2bBEVuoALEZYbnNjtdk2ePFlr1qwJHvP7/VqzZo1yc3PP+BqHwyGn09npAQAAolNY3oGRpEWLFmn+/PmaMmWKpk2bpl/96leqr6/XXXfdZXZpAADAZGEbYL75zW/q6NGjevTRR1VZWanLL79c77333hcG9gIAgL4nbNeBuVisAwMAQOTp6t/vsBwDAwAAcC4EGAAAEHEIMAAAIOIQYAAAQMQhwAAAgIhDgAEAABGHAAMAACIOAQYAAEQcAgwAAIg4YbuVwMUKLDDs8XhMrgQAAHRV4O/2+TYKiNoAU1tbK0nKzs42uRIAANBdtbW1crlcZz0ftXsh+f1+VVRUKDk5WRaLpceu6/F4lJ2drUOHDrHHUhfwfXUd31XX8V11Hd9V1/FddV0ovyvDMFRbW6usrCxZrWcf6RK1d2CsVqsGDx4csus7nU7+Be8Gvq+u47vqOr6rruO76jq+q64L1Xd1rjsvAQziBQAAEYcAAwAAIg4BppscDod+9KMfyeFwmF1KROD76jq+q67ju+o6vquu47vqunD4rqJ2EC8AAIhe3IEBAAARhwADAAAiDgEGAABEHAIMAACIOASYbnruuec0bNgwxcXFafr06dq0aZPZJYWdpUuXaurUqUpOTlZ6erpuvvlmlZaWml1WRHj88cdlsVi0YMECs0sJS4cPH9a3vvUtpaWlKT4+XuPHj9eWLVvMLiss+Xw+PfLII8rJyVF8fLwuvfRS/eQnPznv/jJ9wfr163XTTTcpKytLFotFf/3rXzudNwxDjz76qAYOHKj4+HjNmjVLe/fuNadYk53ru2ppadHixYs1fvx4JSYmKisrS3feeacqKip6pTYCTDe89tprWrRokX70ox9p69atmjhxovLy8lRdXW12aWGlsLBQBQUF+uijj7R69Wq1tLRo9uzZqq+vN7u0sLZ582b99re/1YQJE8wuJSydPHlSV111lWJjY/Xuu+9q165deuqpp9SvXz+zSwtLv/jFL/TCCy/oN7/5jT799FP94he/0BNPPKFf//rXZpdmuvr6ek2cOFHPPffcGc8/8cQTevbZZ7Vs2TJt3LhRiYmJysvLU1NTUy9Xar5zfVcNDQ3aunWrHnnkEW3dulVvvvmmSktL9bWvfa13ijPQZdOmTTMKCgqCP/t8PiMrK8tYunSpiVWFv+rqakOSUVhYaHYpYau2tta47LLLjNWrVxvXXnut8cADD5hdUthZvHixcfXVV5tdRsTIz883vv3tb3c6dssttxjz5s0zqaLwJMl46623gj/7/X4jMzPTePLJJ4PHampqDIfDYfzlL38xocLwcfp3dSabNm0yJBkHDx4MeT3cgekir9er4uJizZo1K3jMarVq1qxZKioqMrGy8Od2uyVJqampJlcSvgoKCpSfn9/p3y909vbbb2vKlCn693//d6Wnp+uKK67Q7373O7PLCltXXnml1qxZoz179kiStm3bpg8//FBf+cpXTK4svJWVlamysrLT/xddLpemT5/O7/oucLvdslgsSklJCfl7Re1mjj3t2LFj8vl8ysjI6HQ8IyNDu3fvNqmq8Of3+7VgwQJdddVVGjdunNnlhKVXX31VW7du1ebNm80uJazt379fL7zwghYtWqT//M//1ObNm/X9739fdrtd8+fPN7u8sPPDH/5QHo9Ho0aNks1mk8/n089+9jPNmzfP7NLCWmVlpSSd8Xd94BzOrKmpSYsXL9btt9/eK5thEmAQUgUFBdqxY4c+/PBDs0sJS4cOHdIDDzyg1atXKy4uzuxywprf79eUKVP085//XJJ0xRVXaMeOHVq2bBkB5gxef/11/fnPf9Yrr7yisWPHqqSkRAsWLFBWVhbfF3pcS0uLvvGNb8gwDL3wwgu98p50IXVR//79ZbPZVFVV1el4VVWVMjMzTaoqvN1///1asWKF1q5dq8GDB5tdTlgqLi5WdXW1Jk2apJiYGMXExKiwsFDPPvusYmJi5PP5zC4xbAwcOFBjxozpdGz06NEqLy83qaLw9uCDD+qHP/yhbrvtNo0fP1533HGHFi5cqKVLl5pdWlgL/D7nd33XBcLLwYMHtXr16l65+yIRYLrMbrdr8uTJWrNmTfCY3+/XmjVrlJuba2Jl4ccwDN1///1666239P777ysnJ8fsksLWjTfeqO3bt6ukpCT4mDJliubNm6eSkhLZbDazSwwbV1111Rem4+/Zs0dDhw41qaLw1tDQIKu18694m80mv99vUkWRIScnR5mZmZ1+13s8Hm3cuJHf9WcQCC979+7VP//5T6WlpfXae9OF1A2LFi3S/PnzNWXKFE2bNk2/+tWvVF9fr7vuusvs0sJKQUGBXnnlFf3tb39TcnJysN/Y5XIpPj7e5OrCS3Jy8hfGBiUmJiotLY0xQ6dZuHChrrzySv385z/XN77xDW3atEkvvviiXnzxRbNLC0s33XSTfvazn2nIkCEaO3asPv74Y/3yl7/Ut7/9bbNLM11dXZ327dsX/LmsrEwlJSVKTU3VkCFDtGDBAv30pz/VZZddppycHD3yyCPKysrSzTffbF7RJjnXdzVw4EDdeuut2rp1q1asWCGfzxf8fZ+amiq73R7a4kI+zynK/PrXvzaGDBli2O12Y9q0acZHH31kdklhR9IZH3/4wx/MLi0iMI367N555x1j3LhxhsPhMEaNGmW8+OKLZpcUtjwej/HAAw8YQ4YMMeLi4oxLLrnE+F//638Zzc3NZpdmurVr157xd9T8+fMNw2ibSv3II48YGRkZhsPhMG688UajtLTU3KJNcq7vqqys7Ky/79euXRvy2iyGwbKMAAAgsjAGBgAARBwCDAAAiDgEGAAAEHEIMAAAIOIQYAAAQMQhwAAAgIhDgAEAABGHAAMAACIOAQYAAEQcAgwAAIg4BBgAABBxCDAAACDi/D/MKoNvuInLpQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Predicted Result for Weather using the given dataset"
      ],
      "metadata": {
        "id": "T7iI6bFo7REU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "predictions"
      ],
      "metadata": {
        "id": "eGrb2ZcmQ5fa",
        "outputId": "625cc0f8-522f-4ffb-d089-395e8c553537",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            actual  prediction      diff\n",
              "DATE                                    \n",
              "1990-03-07    79.0   79.521403  0.521403\n",
              "1990-03-08    79.0   79.141659  0.141659\n",
              "1990-03-09    71.0   78.959057  7.959057\n",
              "1990-03-10    74.0   75.114156  1.114156\n",
              "1990-03-11    78.0   75.882110  2.117890\n",
              "...            ...         ...       ...\n",
              "2023-11-13    70.0   72.339134  2.339134\n",
              "2023-11-14    74.0   71.056186  2.943814\n",
              "2023-11-15    76.0   73.135962  2.864038\n",
              "2023-11-16    76.0   74.368208  1.631792\n",
              "2023-11-17    76.0   74.710212  1.289788\n",
              "\n",
              "[12229 rows x 3 columns]"
            ],
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>actual</th>\n",
              "      <th>prediction</th>\n",
              "      <th>diff</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DATE</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1990-03-07</th>\n",
              "      <td>79.0</td>\n",
              "      <td>79.521403</td>\n",
              "      <td>0.521403</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1990-03-08</th>\n",
              "      <td>79.0</td>\n",
              "      <td>79.141659</td>\n",
              "      <td>0.141659</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1990-03-09</th>\n",
              "      <td>71.0</td>\n",
              "      <td>78.959057</td>\n",
              "      <td>7.959057</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1990-03-10</th>\n",
              "      <td>74.0</td>\n",
              "      <td>75.114156</td>\n",
              "      <td>1.114156</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1990-03-11</th>\n",
              "      <td>78.0</td>\n",
              "      <td>75.882110</td>\n",
              "      <td>2.117890</td>\n",
              "    </tr>\n",
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              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>2023-11-13</th>\n",
              "      <td>70.0</td>\n",
              "      <td>72.339134</td>\n",
              "      <td>2.339134</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-14</th>\n",
              "      <td>74.0</td>\n",
              "      <td>71.056186</td>\n",
              "      <td>2.943814</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-15</th>\n",
              "      <td>76.0</td>\n",
              "      <td>73.135962</td>\n",
              "      <td>2.864038</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-16</th>\n",
              "      <td>76.0</td>\n",
              "      <td>74.368208</td>\n",
              "      <td>1.631792</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-11-17</th>\n",
              "      <td>76.0</td>\n",
              "      <td>74.710212</td>\n",
              "      <td>1.289788</td>\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7b2a8247-d819-4c95-834c-debe8bc2e4da')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      display: none;\n",
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              "\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "        const element = document.querySelector('#df-7b2a8247-d819-4c95-834c-debe8bc2e4da');\n",
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              "                                                    [key], {});\n",
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              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "\n",
              "\n",
              "<div id=\"df-9a3c516f-37ce-4ef2-b622-81e71a4c58e4\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9a3c516f-37ce-4ef2-b622-81e71a4c58e4')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-9a3c516f-37ce-4ef2-b622-81e71a4c58e4 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 76
        }
      ]
    }
  ]
}