Analyze.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysing the Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing the libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing the Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = pd.read_csv(\"Data/DailyDelhiClimateTrain.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>meantemp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>meanpressure</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>84.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1015.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2013-01-02</td>\n",
       "      <td>7.400000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>2.980000</td>\n",
       "      <td>1017.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2013-01-03</td>\n",
       "      <td>7.166667</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>4.633333</td>\n",
       "      <td>1018.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2013-01-04</td>\n",
       "      <td>8.666667</td>\n",
       "      <td>71.333333</td>\n",
       "      <td>1.233333</td>\n",
       "      <td>1017.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2013-01-05</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>86.833333</td>\n",
       "      <td>3.700000</td>\n",
       "      <td>1016.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date   meantemp   humidity  wind_speed  meanpressure\n",
       "0  2013-01-01  10.000000  84.500000    0.000000   1015.666667\n",
       "1  2013-01-02   7.400000  92.000000    2.980000   1017.800000\n",
       "2  2013-01-03   7.166667  87.000000    4.633333   1018.666667\n",
       "3  2013-01-04   8.666667  71.333333    1.233333   1017.166667\n",
       "4  2013-01-05   6.000000  86.833333    3.700000   1016.500000"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1462, 5)"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>meantemp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>meanpressure</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1457</th>\n",
       "      <td>2016-12-28</td>\n",
       "      <td>17.217391</td>\n",
       "      <td>68.043478</td>\n",
       "      <td>3.547826</td>\n",
       "      <td>1015.565217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1458</th>\n",
       "      <td>2016-12-29</td>\n",
       "      <td>15.238095</td>\n",
       "      <td>87.857143</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1016.904762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1459</th>\n",
       "      <td>2016-12-30</td>\n",
       "      <td>14.095238</td>\n",
       "      <td>89.666667</td>\n",
       "      <td>6.266667</td>\n",
       "      <td>1017.904762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1460</th>\n",
       "      <td>2016-12-31</td>\n",
       "      <td>15.052632</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>7.325000</td>\n",
       "      <td>1016.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1461</th>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1016.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            date   meantemp    humidity  wind_speed  meanpressure\n",
       "1457  2016-12-28  17.217391   68.043478    3.547826   1015.565217\n",
       "1458  2016-12-29  15.238095   87.857143    6.000000   1016.904762\n",
       "1459  2016-12-30  14.095238   89.666667    6.266667   1017.904762\n",
       "1460  2016-12-31  15.052632   87.000000    7.325000   1016.100000\n",
       "1461  2017-01-01  10.000000  100.000000    0.000000   1016.000000"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1462 entries, 0 to 1461\n",
      "Data columns (total 5 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   date          1462 non-null   object \n",
      " 1   meantemp      1462 non-null   float64\n",
      " 2   humidity      1462 non-null   float64\n",
      " 3   wind_speed    1462 non-null   float64\n",
      " 4   meanpressure  1462 non-null   float64\n",
      "dtypes: float64(4), object(1)\n",
      "memory usage: 57.2+ KB\n"
     ]
    }
   ],
   "source": [
    "dataset.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>meantemp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>meanpressure</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1462.000000</td>\n",
       "      <td>1462.000000</td>\n",
       "      <td>1462.000000</td>\n",
       "      <td>1462.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>25.495521</td>\n",
       "      <td>60.771702</td>\n",
       "      <td>6.802209</td>\n",
       "      <td>1011.104548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>7.348103</td>\n",
       "      <td>16.769652</td>\n",
       "      <td>4.561602</td>\n",
       "      <td>180.231668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>13.428571</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-3.041667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>18.857143</td>\n",
       "      <td>50.375000</td>\n",
       "      <td>3.475000</td>\n",
       "      <td>1001.580357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>27.714286</td>\n",
       "      <td>62.625000</td>\n",
       "      <td>6.221667</td>\n",
       "      <td>1008.563492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>31.305804</td>\n",
       "      <td>72.218750</td>\n",
       "      <td>9.238235</td>\n",
       "      <td>1014.944901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>38.714286</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>42.220000</td>\n",
       "      <td>7679.333333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          meantemp     humidity   wind_speed  meanpressure\n",
       "count  1462.000000  1462.000000  1462.000000   1462.000000\n",
       "mean     25.495521    60.771702     6.802209   1011.104548\n",
       "std       7.348103    16.769652     4.561602    180.231668\n",
       "min       6.000000    13.428571     0.000000     -3.041667\n",
       "25%      18.857143    50.375000     3.475000   1001.580357\n",
       "50%      27.714286    62.625000     6.221667   1008.563492\n",
       "75%      31.305804    72.218750     9.238235   1014.944901\n",
       "max      38.714286   100.000000    42.220000   7679.333333"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Checking for Null Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset[\"meantemp\"].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset[\"humidity\"].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset[\"wind_speed\"].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset[\"meanpressure\"].isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Some Visualizations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = dataset.drop([\"date\"], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "sns.lineplot(data=dataset['meantemp'])\n",
    "plt.title('Mean Temperature Over Time')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Mean Temperature')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "sns.lineplot(data=dataset['humidity'])\n",
    "plt.title('Humidity Over Time')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Humidity')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "sns.lineplot(data=dataset['wind_speed'])\n",
    "plt.title('Wind Speed Over Time')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Wind Speed')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>meantemp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>meanpressure</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>84.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1015.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.400000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>2.980000</td>\n",
       "      <td>1017.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.166667</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>4.633333</td>\n",
       "      <td>1018.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8.666667</td>\n",
       "      <td>71.333333</td>\n",
       "      <td>1.233333</td>\n",
       "      <td>1017.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>86.833333</td>\n",
       "      <td>3.700000</td>\n",
       "      <td>1016.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    meantemp   humidity  wind_speed  meanpressure\n",
       "0  10.000000  84.500000    0.000000   1015.666667\n",
       "1   7.400000  92.000000    2.980000   1017.800000\n",
       "2   7.166667  87.000000    4.633333   1018.666667\n",
       "3   8.666667  71.333333    1.233333   1017.166667\n",
       "4   6.000000  86.833333    3.700000   1016.500000"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from LSTM import lstm\n",
    "\n",
    "def create_sequences(data, lookback):\n",
    "    X, y = [], []\n",
    "    for i in range(len(data) - lookback):\n",
    "        # Resetting index to use integer-based indexing\n",
    "        X.append(data.iloc[i:(i + lookback)].values)\n",
    "        y.append(data.iloc[i + lookback][0])\n",
    "    return np.array(X), np.array(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Assuming 'meantemp' is one of the columns in your original DataFrame\n",
    "scaler = MinMaxScaler()\n",
    "scaled_data = scaler.fit_transform(dataset[[\"meantemp\", \"humidity\", \"wind_speed\", \"meanpressure\"]].values)\n",
    "unscaled_data = dataset[[\"meantemp\", \"humidity\", \"wind_speed\", \"meanpressure\"]].values\n",
    "\n",
    "# Assuming lookback is 5 (you should adjust based on your requirements)\n",
    "lookback = 5\n",
    "X, y = create_sequences(pd.DataFrame(scaled_data), lookback)\n",
    "u_X,u_y = create_sequences(pd.DataFrame(unscaled_data), lookback)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[0.12227074, 0.8209571 , 0.        , 0.13260331],\n",
       "        [0.04279476, 0.90759076, 0.07058266, 0.132881  ],\n",
       "        [0.0356623 , 0.84983498, 0.10974262, 0.13299381],\n",
       "        [0.08151383, 0.66886689, 0.02921206, 0.13279856],\n",
       "        [0.        , 0.84790979, 0.08763619, 0.13271178]],\n",
       "\n",
       "       [[0.04279476, 0.90759076, 0.07058266, 0.132881  ],\n",
       "        [0.0356623 , 0.84983498, 0.10974262, 0.13299381],\n",
       "        [0.08151383, 0.66886689, 0.02921206, 0.13279856],\n",
       "        [0.        , 0.84790979, 0.08763619, 0.13271178],\n",
       "        [0.03056769, 0.80132013, 0.03505448, 0.13290703]],\n",
       "\n",
       "       [[0.0356623 , 0.84983498, 0.10974262, 0.13299381],\n",
       "        [0.08151383, 0.66886689, 0.02921206, 0.13279856],\n",
       "        [0.        , 0.84790979, 0.08763619, 0.13271178],\n",
       "        [0.03056769, 0.80132013, 0.03505448, 0.13290703],\n",
       "        [0.03056769, 0.75280528, 0.14921838, 0.13316737]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[0.24454148, 0.93415842, 0.21518238, 0.13243192],\n",
       "        [0.34061135, 0.70957096, 0.20805804, 0.13277067],\n",
       "        [0.33165939, 0.62516502, 0.19741829, 0.1328029 ],\n",
       "        [0.34288969, 0.63086526, 0.08403188, 0.1325901 ],\n",
       "        [0.28238719, 0.85973597, 0.14211274, 0.13276447]],\n",
       "\n",
       "       [[0.34061135, 0.70957096, 0.20805804, 0.13277067],\n",
       "        [0.33165939, 0.62516502, 0.19741829, 0.1328029 ],\n",
       "        [0.34288969, 0.63086526, 0.08403188, 0.1325901 ],\n",
       "        [0.28238719, 0.85973597, 0.14211274, 0.13276447],\n",
       "        [0.24745269, 0.88063806, 0.14842886, 0.13289464]],\n",
       "\n",
       "       [[0.33165939, 0.62516502, 0.19741829, 0.1328029 ],\n",
       "        [0.34288969, 0.63086526, 0.08403188, 0.1325901 ],\n",
       "        [0.28238719, 0.85973597, 0.14211274, 0.13276447],\n",
       "        [0.24745269, 0.88063806, 0.14842886, 0.13289464],\n",
       "        [0.276718  , 0.84983498, 0.17349597, 0.13265971]]])"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.03056769, 0.03056769, 0.08733624, ..., 0.24745269, 0.276718  ,\n",
       "       0.12227074])"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[  10.        ,   84.5       ,    0.        , 1015.66666667],\n",
       "        [   7.4       ,   92.        ,    2.98      , 1017.8       ],\n",
       "        [   7.16666667,   87.        ,    4.63333333, 1018.66666667],\n",
       "        [   8.66666667,   71.33333333,    1.23333333, 1017.16666667],\n",
       "        [   6.        ,   86.83333333,    3.7       , 1016.5       ]],\n",
       "\n",
       "       [[   7.4       ,   92.        ,    2.98      , 1017.8       ],\n",
       "        [   7.16666667,   87.        ,    4.63333333, 1018.66666667],\n",
       "        [   8.66666667,   71.33333333,    1.23333333, 1017.16666667],\n",
       "        [   6.        ,   86.83333333,    3.7       , 1016.5       ],\n",
       "        [   7.        ,   82.8       ,    1.48      , 1018.        ]],\n",
       "\n",
       "       [[   7.16666667,   87.        ,    4.63333333, 1018.66666667],\n",
       "        [   8.66666667,   71.33333333,    1.23333333, 1017.16666667],\n",
       "        [   6.        ,   86.83333333,    3.7       , 1016.5       ],\n",
       "        [   7.        ,   82.8       ,    1.48      , 1018.        ],\n",
       "        [   7.        ,   78.6       ,    6.3       , 1020.        ]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[  14.        ,   94.3       ,    9.085     , 1014.35      ],\n",
       "        [  17.14285714,   74.85714286,    8.78421053, 1016.95238095],\n",
       "        [  16.85      ,   67.55      ,    8.335     , 1017.2       ],\n",
       "        [  17.2173913 ,   68.04347826,    3.54782609, 1015.56521739],\n",
       "        [  15.23809524,   87.85714286,    6.        , 1016.9047619 ]],\n",
       "\n",
       "       [[  17.14285714,   74.85714286,    8.78421053, 1016.95238095],\n",
       "        [  16.85      ,   67.55      ,    8.335     , 1017.2       ],\n",
       "        [  17.2173913 ,   68.04347826,    3.54782609, 1015.56521739],\n",
       "        [  15.23809524,   87.85714286,    6.        , 1016.9047619 ],\n",
       "        [  14.0952381 ,   89.66666667,    6.26666667, 1017.9047619 ]],\n",
       "\n",
       "       [[  16.85      ,   67.55      ,    8.335     , 1017.2       ],\n",
       "        [  17.2173913 ,   68.04347826,    3.54782609, 1015.56521739],\n",
       "        [  15.23809524,   87.85714286,    6.        , 1016.9047619 ],\n",
       "        [  14.0952381 ,   89.66666667,    6.26666667, 1017.9047619 ],\n",
       "        [  15.05263158,   87.        ,    7.325     , 1016.1       ]]])"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "u_X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 7.        ,  7.        ,  8.85714286, ..., 14.0952381 ,\n",
       "       15.05263158, 10.        ])"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "u_y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Architecture of the Multi-Stack LSTM Layer is ready!\n",
      "Architecture of the Multi-Stack LSTM Layer is ready!\n",
      "Epoch 1/20\n",
      "46/46 [==============================] - 4s 8ms/step - loss: 478.6111\n",
      "Epoch 2/20\n",
      "46/46 [==============================] - 0s 8ms/step - loss: 236.1322\n",
      "Epoch 3/20\n",
      "46/46 [==============================] - 0s 8ms/step - loss: 177.6132\n",
      "Epoch 4/20\n",
      "46/46 [==============================] - 0s 10ms/step - loss: 136.3295\n",
      "Epoch 5/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 107.5443\n",
      "Epoch 6/20\n",
      "46/46 [==============================] - 0s 8ms/step - loss: 87.9845\n",
      "Epoch 7/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 74.7521\n",
      "Epoch 8/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 67.4482\n",
      "Epoch 9/20\n",
      "46/46 [==============================] - 0s 10ms/step - loss: 63.7391\n",
      "Epoch 10/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 59.3329\n",
      "Epoch 11/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 58.7169\n",
      "Epoch 12/20\n",
      "46/46 [==============================] - 0s 10ms/step - loss: 58.3291\n",
      "Epoch 13/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 55.9194\n",
      "Epoch 14/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 58.0166\n",
      "Epoch 15/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 55.5440\n",
      "Epoch 16/20\n",
      "46/46 [==============================] - 0s 8ms/step - loss: 56.7428\n",
      "Epoch 17/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 55.7937\n",
      "Epoch 18/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 56.6221\n",
      "Epoch 19/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 57.2402\n",
      "Epoch 20/20\n",
      "46/46 [==============================] - 0s 11ms/step - loss: 56.0403\n",
      "Epoch 1/20\n",
      "46/46 [==============================] - 4s 8ms/step - loss: 0.1120\n",
      "Epoch 2/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 0.0144\n",
      "Epoch 3/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 0.0107\n",
      "Epoch 4/20\n",
      "46/46 [==============================] - 0s 8ms/step - loss: 0.0103\n",
      "Epoch 5/20\n",
      "46/46 [==============================] - 0s 8ms/step - loss: 0.0099\n",
      "Epoch 6/20\n",
      "46/46 [==============================] - 0s 8ms/step - loss: 0.0092\n",
      "Epoch 7/20\n",
      "46/46 [==============================] - 0s 8ms/step - loss: 0.0092\n",
      "Epoch 8/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 0.0098\n",
      "Epoch 9/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 0.0085\n",
      "Epoch 10/20\n",
      "46/46 [==============================] - 0s 8ms/step - loss: 0.0084\n",
      "Epoch 11/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 0.0084\n",
      "Epoch 12/20\n",
      "46/46 [==============================] - 0s 11ms/step - loss: 0.0082\n",
      "Epoch 13/20\n",
      "46/46 [==============================] - 0s 10ms/step - loss: 0.0081\n",
      "Epoch 14/20\n",
      "46/46 [==============================] - 0s 8ms/step - loss: 0.0077\n",
      "Epoch 15/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 0.0074\n",
      "Epoch 16/20\n",
      "46/46 [==============================] - 0s 11ms/step - loss: 0.0083\n",
      "Epoch 17/20\n",
      "46/46 [==============================] - 0s 9ms/step - loss: 0.0076\n",
      "Epoch 18/20\n",
      "46/46 [==============================] - 0s 8ms/step - loss: 0.0081\n",
      "Epoch 19/20\n",
      "46/46 [==============================] - 0s 8ms/step - loss: 0.0075\n",
      "Epoch 20/20\n",
      "46/46 [==============================] - 0s 8ms/step - loss: 0.0069\n"
     ]
    }
   ],
   "source": [
    "# Create an instance of the lstm class\n",
    "u_lstm_model = lstm(u_X, u_y)\n",
    "lstm_model = lstm(X,y)\n",
    "# Train the model\n",
    "u_trained_model = u_lstm_model.train_it()\n",
    "trained_model = lstm_model.train_it()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Assuming 'meantemp' is the first column in your test data\n",
    "test_data = pd.read_csv(\"Data/DailyDelhiClimateTest.csv\")\n",
    "test_data.drop(['date'], axis=1, inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4/4 [==============================] - 1s 6ms/step\n",
      "4/4 [==============================] - 1s 3ms/step\n"
     ]
    }
   ],
   "source": [
    "scaled_test_data = scaler.transform(test_data[[\"meantemp\", \"humidity\", \"wind_speed\", \"meanpressure\"]].values)\n",
    "\n",
    "unscaled_test_data = test_data[[\"meantemp\", \"humidity\", \"wind_speed\", \"meanpressure\"]].values\n",
    "\n",
    "# Assuming lookback is 5 for the test data as well\n",
    "U_X_test, U_y_test = create_sequences(pd.DataFrame(unscaled_test_data), lookback)\n",
    "\n",
    "X_test, y_test = create_sequences(pd.DataFrame(scaled_test_data), lookback)\n",
    "\n",
    "unscaled_test_predictions = u_lstm_model.predict_it(U_X_test)\n",
    "\n",
    "scaled_test_predictions = lstm_model.predict_it(X_test)\n",
    "\n",
    "# # Make predictions\n",
    "# scaled_predictions = lstm_model.predict_it(X_test)\n",
    "\n",
    "# # Inverse transform the scaled predictions to get back to the original scale\n",
    "# unscaled_predictions = scaler.inverse_transform(np.concatenate((X_test[:, -1, 1:], scaled_predictions.reshape(-1, 1)), axis=1))\n",
    "\n",
    "# # The final unscaled predictions for 'meantemp' will be in the last column\n",
    "# unscaled_predictions = unscaled_predictions[:, -1]\n",
    "\n",
    "# # Now, unscaled_predictions should contain the predicted values in the original scale\n",
    "# unscaled_predictions\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "       [0.75366217],\n",
       "       [0.76972234],\n",
       "       [0.7977078 ],\n",
       "       [0.808931  ],\n",
       "       [0.8066979 ]], dtype=float32)"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaled_test_predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.40710599, 0.2661936 , 0.2960239 , 0.26200873, 0.18680252,\n",
       "       0.15283843, 0.17697081, 0.2211662 , 0.22008734, 0.31896715,\n",
       "       0.26441048, 0.17491509, 0.21524745, 0.26346434, 0.2831533 ,\n",
       "       0.28707044, 0.38026201, 0.37040843, 0.37744447, 0.45851528,\n",
       "       0.31113537, 0.3209607 , 0.27094085, 0.29548763, 0.31926249,\n",
       "       0.30949782, 0.28275109, 0.33902342, 0.29456133, 0.38820961,\n",
       "       0.38611813, 0.33284813, 0.27893013, 0.29650655, 0.28657205,\n",
       "       0.26491994, 0.29421397, 0.31331878, 0.31586608, 0.33242358,\n",
       "       0.35371179, 0.43558952, 0.46768559, 0.46233624, 0.50019849,\n",
       "       0.53111354, 0.48398836, 0.40120087, 0.38591703, 0.40120087,\n",
       "       0.39737991, 0.38973799, 0.42412664, 0.52983988, 0.5643265 ,\n",
       "       0.54257642, 0.44323144, 0.40120087, 0.42030568, 0.4279476 ,\n",
       "       0.50818777, 0.47518857, 0.45196507, 0.42603712, 0.38311499,\n",
       "       0.34770742, 0.34983018, 0.36681223, 0.42412664, 0.55021834,\n",
       "       0.45545852, 0.57138058, 0.5705968 , 0.52983988, 0.58078603,\n",
       "       0.64956332, 0.67248908, 0.70050946, 0.62663755, 0.70611354,\n",
       "       0.71834061, 0.73022804, 0.76419214, 0.71179039, 0.75272926,\n",
       "       0.77565502, 0.72598253, 0.7489083 , 0.76215429, 0.71011085,\n",
       "       0.77098496, 0.6419214 , 0.59989083, 0.64574236, 0.66812227,\n",
       "       0.71069869, 0.71069869, 0.72343523, 0.7489083 , 0.77098496,\n",
       "       0.76419214, 0.81174187, 0.8558952 , 0.84061135, 0.87117904,\n",
       "       0.86353712, 0.82227074, 0.82150655, 0.79475983])"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scaling Up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2481.20251644, 2658.07619704, 2615.21466457, 2675.90794262,\n",
       "       2498.55369048, 2280.24576802, 1834.08282795, 1772.96152299,\n",
       "       1554.68863028, 1365.19691309, 1387.40703403, 1579.98136925,\n",
       "       1768.15397595, 1815.4768791 , 1892.72915513, 1644.30068436,\n",
       "       1555.78256588, 1855.74334814, 2133.56887696, 2323.52078891,\n",
       "       2527.19520489, 2777.40286644, 2769.21277345, 2738.44978409,\n",
       "       2635.02227123, 2163.05225014, 2170.76978494, 2077.6307158 ,\n",
       "       2191.40253683, 2228.21605698, 2215.39654208, 2259.14824232,\n",
       "       2440.26899395, 2463.37603677, 2680.56964684, 2513.5537501 ,\n",
       "       2274.12998573, 2126.27330183, 2134.18979645, 2124.56943646,\n",
       "       2150.41223409, 2281.69183274, 2396.09418928, 2565.50699096,\n",
       "       2802.46768308, 3094.44774951, 3444.23285673, 3572.28765778,\n",
       "       3625.73389866, 3701.38396428, 3608.95281663, 3331.39653609,\n",
       "       3096.36934882, 3105.22500707, 3149.13743205, 3205.92454951,\n",
       "       3406.31418229, 3729.2996989 , 4012.28490388, 3931.36389112,\n",
       "       3635.08615513, 3330.56978819, 3309.63092665, 3445.13515899,\n",
       "       3530.35521503, 3590.41452328, 3363.69007369, 3154.27283923,\n",
       "       2971.88597963, 2801.97818239, 2811.30388036, 2994.27731657,\n",
       "       3281.01528389, 3687.89957098, 4004.43182914, 3982.36446015,\n",
       "       4296.8789589 , 4348.03750524, 4465.68984416, 4784.1327119 ,\n",
       "       5025.66444301, 5101.25864419, 5173.63377159, 5179.29989094,\n",
       "       5457.96315738, 5506.30833397, 5553.14471281, 5598.7511582 ,\n",
       "       5527.96954101, 5624.7578859 , 5619.71909672, 5531.62133524,\n",
       "       5573.88415662, 5536.430256  , 5344.15126965, 5200.72848212,\n",
       "       4841.84800327, 4912.82194065, 5152.92180209, 5296.07488344,\n",
       "       5393.60411899, 5422.19434802, 5509.87495783, 5647.24927513,\n",
       "       5786.87373875, 5910.25401423, 6125.24876337, 6211.4695713 ,\n",
       "       6194.31415175])"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# Inverse transform the scaled predictions to get back to the original scale\n",
    "unscaled_predictions = scaler.inverse_transform(np.concatenate((X_test[:, -1, 1:], scaled_test_predictions.reshape(-1, 1)), axis=1))\n",
    "unscaled_y_test = scaler.inverse_transform(np.concatenate((X_test[:, -1, 1:], y_test.reshape(-1, 1)), axis=1))\n",
    "\n",
    "# The final unscaled predictions for 'meantemp' will be in the last column\n",
    "unscaled_predictions = unscaled_predictions[:, -1]\n",
    "\n",
    "# Now, unscaled_predictions should contain the predicted values in the original scale\n",
    "unscaled_predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[2.92460972e+01, 2.01951682e+01, 5.59118404e+00, 3.12449925e+03],\n",
       "       [3.08988792e+01, 3.12304995e+01, 5.57711173e+00, 2.04195736e+03],\n",
       "       [3.71397533e+01, 3.40188469e+01, 5.57492594e+00, 2.27112496e+03],\n",
       "       [3.24890816e+01, 1.74270150e+01, 5.59787047e+00, 2.00980768e+03],\n",
       "       [3.14624391e+01, 2.68445944e+01, 5.60008184e+00, 1.43204537e+03],\n",
       "       [2.81124339e+01, 3.26233787e+01, 5.60522860e+00, 1.17112045e+03],\n",
       "       [2.81754152e+01, 3.34663554e+01, 5.60461797e+00, 1.35651447e+03],\n",
       "       [2.91079803e+01, 2.70157250e+01, 5.60236827e+00, 1.69603999e+03],\n",
       "       [2.62662174e+01, 2.66240382e+01, 5.60874872e+00, 1.68775178e+03],\n",
       "       [2.89950118e+01, 2.42469243e+01, 5.61595131e+00, 2.44738362e+03],\n",
       "       [2.83470164e+01, 2.08727194e+01, 5.61205176e+00, 2.02825880e+03],\n",
       "       [3.05708039e+01, 3.47125939e+01, 5.60666359e+00, 1.34072165e+03],\n",
       "       [3.28360312e+01, 2.99121833e+01, 5.61347214e+00, 1.65056998e+03],\n",
       "       [3.05267170e+01, 2.57912804e+01, 5.63308873e+00, 2.02099017e+03],\n",
       "       [2.93210750e+01, 3.46266689e+01, 5.63776661e+00, 2.17224815e+03],\n",
       "       [2.60451004e+01, 3.64479508e+01, 5.63216072e+00, 2.20234109e+03],\n",
       "       [2.77062501e+01, 4.15112852e+01, 5.62495470e+00, 2.91827368e+03],\n",
       "       [2.97356719e+01, 2.54608107e+01, 5.62804184e+00, 2.84257476e+03],\n",
       "       [2.96449788e+01, 2.72753683e+01, 5.62135649e+00, 2.89662826e+03],\n",
       "       [2.66711662e+01, 2.03823863e+01, 5.61611379e+00, 3.51944469e+03],\n",
       "       [2.73625365e+01, 3.13826081e+01, 5.61353321e+00, 2.38721693e+03],\n",
       "       [3.55562235e+01, 3.07917758e+01, 5.61015728e+00, 2.46269878e+03],\n",
       "       [3.00386119e+01, 4.28701022e+01, 5.61202189e+00, 2.07842754e+03],\n",
       "       [3.22043097e+01, 3.32996241e+01, 5.62032789e+00, 2.26700509e+03],\n",
       "       [3.18283305e+01, 3.45371636e+01, 5.60797645e+00, 2.44965254e+03],\n",
       "       [3.02328042e+01, 2.22912183e+01, 5.59942759e+00, 2.37463662e+03],\n",
       "       [2.96449788e+01, 2.29120593e+01, 5.59759569e+00, 2.16915825e+03],\n",
       "       [3.06369342e+01, 2.38860391e+01, 5.60858708e+00, 2.60146339e+03],\n",
       "       [2.60722215e+01, 1.96359453e+01, 5.61633102e+00, 2.25988896e+03],\n",
       "       [3.04694612e+01, 1.72312870e+01, 5.60983610e+00, 2.97933011e+03],\n",
       "       [3.02495992e+01, 3.35643229e+01, 5.59155042e+00, 2.96326263e+03],\n",
       "       [3.02615325e+01, 3.00374907e+01, 5.59050913e+00, 2.55402250e+03],\n",
       "       [2.72516895e+01, 3.19740588e+01, 5.60034354e+00, 2.13980420e+03],\n",
       "       [2.50158534e+01, 2.90891419e+01, 5.60103050e+00, 2.27483284e+03],\n",
       "       [2.67730316e+01, 2.17945456e+01, 5.59814526e+00, 2.19851230e+03],\n",
       "       [2.67635844e+01, 2.95761318e+01, 5.60240442e+00, 2.03217267e+03],\n",
       "       [2.80494526e+01, 3.20196251e+01, 5.59851164e+00, 2.25722041e+03],\n",
       "       [2.51103253e+01, 2.15279827e+01, 5.60377835e+00, 2.40399068e+03],\n",
       "       [2.75193600e+01, 1.67606077e+01, 5.62026543e+00, 2.42356004e+03],\n",
       "       [2.62439887e+01, 2.65061018e+01, 5.63087518e+00, 2.55076094e+03],\n",
       "       [2.56771570e+01, 2.77050653e+01, 5.62988290e+00, 2.71430495e+03],\n",
       "       [2.65139085e+01, 2.48234032e+01, 5.62546672e+00, 3.34332037e+03],\n",
       "       [2.23706388e+01, 3.48304967e+01, 5.60927404e+00, 3.58989441e+03],\n",
       "       [2.52614804e+01, 3.24570616e+01, 5.60309138e+00, 3.54879874e+03],\n",
       "       [2.76610679e+01, 2.62440956e+01, 5.60171746e+00, 3.83967072e+03],\n",
       "       [2.59004543e+01, 2.58433192e+01, 5.58385645e+00, 4.07717169e+03],\n",
       "       [2.36460101e+01, 2.76538032e+01, 5.54195176e+00, 3.71513837e+03],\n",
       "       [2.71572175e+01, 3.87349597e+01, 5.55317214e+00, 3.07913389e+03],\n",
       "       [2.25123468e+01, 2.86277830e+01, 5.57973467e+00, 2.96171768e+03],\n",
       "       [1.71274458e+01, 4.28530148e+01, 5.59622176e+00, 3.07913389e+03],\n",
       "       [1.61827263e+01, 4.75947587e+01, 5.60103050e+00, 3.04977984e+03],\n",
       "       [1.99818482e+01, 3.78879146e+01, 5.59092234e+00, 2.99107173e+03],\n",
       "       [2.32208864e+01, 3.62145733e+01, 5.58042164e+00, 3.25525821e+03],\n",
       "       [2.29847065e+01, 2.38860391e+01, 5.59072607e+00, 4.06738701e+03],\n",
       "       [2.04497093e+01, 2.14482416e+01, 5.58446708e+00, 4.33232615e+03],\n",
       "       [1.90350524e+01, 2.65832140e+01, 5.58343370e+00, 4.16523385e+03],\n",
       "       [2.14259194e+01, 2.55879407e+01, 5.57918510e+00, 3.40202848e+03],\n",
       "       [1.69857379e+01, 2.86277830e+01, 5.57080417e+00, 3.07913389e+03],\n",
       "       [1.72219177e+01, 3.05501117e+01, 5.56736936e+00, 3.22590416e+03],\n",
       "       [1.65133781e+01, 3.38565169e+01, 5.57011721e+00, 3.28461226e+03],\n",
       "       [1.69647441e+01, 3.32499154e+01, 5.56920126e+00, 3.90104738e+03],\n",
       "       [1.66078501e+01, 2.57827367e+01, 5.55294315e+00, 3.64753510e+03],\n",
       "       [2.08504993e+01, 3.44739921e+01, 5.56137405e+00, 3.46912345e+03],\n",
       "       [2.70267562e+01, 3.05354653e+01, 5.55284502e+00, 3.26993524e+03],\n",
       "       [2.65274045e+01, 3.69322427e+01, 5.55019531e+00, 2.94019138e+03],\n",
       "       [2.37499293e+01, 2.48429316e+01, 5.56627022e+00, 2.66817715e+03],\n",
       "       [2.23234029e+01, 2.90891419e+01, 5.59347391e+00, 2.68448496e+03],\n",
       "       [1.95679711e+01, 3.19968419e+01, 5.59423721e+00, 2.81494742e+03],\n",
       "       [2.22131856e+01, 2.27013151e+01, 5.60339670e+00, 3.25525821e+03],\n",
       "       [2.16148633e+01, 2.81407931e+01, 5.59003910e+00, 4.22394196e+03],\n",
       "       [1.95175860e+01, 2.48292617e+01, 5.57341462e+00, 3.49596144e+03],\n",
       "       [2.34854078e+01, 3.69886310e+01, 5.57121634e+00, 4.38651825e+03],\n",
       "       [1.84246183e+01, 2.80343257e+01, 5.56652387e+00, 4.38049691e+03],\n",
       "       [2.06806407e+01, 3.22132819e+01, 5.57775012e+00, 4.06738701e+03],\n",
       "       [2.15833726e+01, 3.40928921e+01, 5.58141391e+00, 4.45877438e+03],\n",
       "       [1.94420085e+01, 3.24211782e+01, 5.57698683e+00, 4.98714733e+03],\n",
       "       [1.79304573e+01, 3.43178758e+01, 5.56599543e+00, 5.16327165e+03],\n",
       "       [1.97254243e+01, 2.05796339e+01, 5.56118670e+00, 5.37853471e+03],\n",
       "       [1.51592802e+01, 3.40017595e+01, 5.57057518e+00, 4.81102302e+03],\n",
       "       [1.58048385e+01, 3.48048657e+01, 5.56668240e+00, 5.42158732e+03],\n",
       "       [1.49451438e+01, 4.94965825e+01, 5.56846850e+00, 5.51552029e+03],\n",
       "       [1.55214227e+01, 4.14176761e+01, 5.56462151e+00, 5.60684401e+03],\n",
       "       [1.62929436e+01, 3.15639620e+01, 5.56187366e+00, 5.86776892e+03],\n",
       "       [1.39626355e+01, 4.04949584e+01, 5.55156923e+00, 5.46519905e+03],\n",
       "       [1.48533711e+01, 3.51344077e+01, 5.55166737e+00, 5.77970676e+03],\n",
       "       [1.51435349e+01, 2.76794343e+01, 5.55363012e+00, 5.95583108e+03],\n",
       "       [1.41988154e+01, 3.19598193e+01, 5.53989088e+00, 5.57422839e+03],\n",
       "       [1.36792197e+01, 3.24211782e+01, 5.53576910e+00, 5.75035271e+03],\n",
       "       [1.21676686e+01, 2.76538032e+01, 5.53576910e+00, 5.85211343e+03],\n",
       "       [1.29675310e+01, 4.27915003e+01, 5.55198141e+00, 5.45229617e+03],\n",
       "       [1.83083451e+01, 4.29239931e+01, 5.53989088e+00, 5.91995391e+03],\n",
       "       [1.07505893e+01, 4.12695856e+01, 5.52828885e+00, 4.92843923e+03],\n",
       "       [1.22149045e+01, 2.29633214e+01, 5.55294315e+00, 4.60554465e+03],\n",
       "       [1.20259606e+01, 3.05244806e+01, 5.56943024e+00, 4.95779328e+03],\n",
       "       [8.90838637e+00, 4.23916560e+01, 5.57080417e+00, 5.12972416e+03],\n",
       "       [8.26732673e+00, 5.30322026e+01, 5.55951836e+00, 5.45681218e+03],\n",
       "       [7.63301509e+00, 4.52367023e+01, 5.54676050e+00, 5.45681218e+03],\n",
       "       [1.07505893e+01, 3.28825371e+01, 5.54469961e+00, 5.55465902e+03],\n",
       "       [1.19262402e+01, 2.35670750e+01, 5.54966100e+00, 5.75035271e+03],\n",
       "       [1.51435349e+01, 1.62736178e+01, 5.53782999e+00, 5.91995391e+03],\n",
       "       [1.24300906e+01, 2.56631251e+01, 5.52584632e+00, 5.86776892e+03],\n",
       "       [1.38681636e+01, 1.77345875e+01, 5.53027341e+00, 6.23306380e+03],\n",
       "       [1.54531929e+01, 2.44328348e+01, 5.53683771e+00, 6.57226619e+03],\n",
       "       [1.12544397e+01, 2.94451287e+01, 5.52951012e+00, 6.45484998e+03],\n",
       "       [1.00420497e+01, 3.19341883e+01, 5.51722113e+00, 6.68968241e+03],\n",
       "       [1.13174210e+01, 2.48343879e+01, 5.50485581e+00, 6.63097430e+03],\n",
       "       [1.58048385e+01, 2.77050653e+01, 5.51172543e+00, 6.31395053e+03],\n",
       "       [1.63811174e+01, 3.16573729e+01, 5.52120551e+00, 6.30807972e+03],\n",
       "       [1.13174210e+01, 3.38565169e+01, 5.52409075e+00, 6.10260135e+03]])"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unscaled_y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4/4 [==============================] - 0s 5ms/step\n"
     ]
    }
   ],
   "source": [
    "X_test, y_test = create_sequences(pd.DataFrame(scaled_test_data), lookback)\n",
    "\n",
    "# Make predictions\n",
    "scaled_predictions = lstm_model.predict_it(X_test)\n",
    "\n",
    "# Inverse transform the scaled predictions to get back to the original scale\n",
    "unscaled_predictions = scaler.inverse_transform(np.concatenate((X_test[:, -1, 1:], scaled_predictions.reshape(-1, 1)), axis=1))\n",
    "\n",
    "# The final unscaled predictions for 'meantemp' will be in the last column\n",
    "unscaled_predictions = unscaled_predictions[:, -1]\n",
    "\n",
    "# Inverse transform the scaled y_test to get back to the original scale\n",
    "unscaled_y_test = scaler.inverse_transform(np.concatenate((X_test[:, -1, 1:], y_test.reshape(-1, 1)), axis=1))\n",
    "\n",
    "# The final unscaled y_test for 'meantemp' will be in the last column\n",
    "unscaled_y_test = unscaled_y_test[:, -1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "       4605.54464611, 4957.79328148, 5129.72416303, 5456.81218159,\n",
       "       5456.81218159, 5554.65902475, 5750.35271106, 5919.95390587,\n",
       "       5867.76892285, 6233.06380398, 6572.2661936 , 6454.8499818 ,\n",
       "       6689.68240539, 6630.97429949, 6313.95052766, 6308.07971707,\n",
       "       6102.60134643])"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unscaled_y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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