summer.ipynb

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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import statsmodels.api as sm"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "## Temperature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": []
   },
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   "source": [
    "from temperature.utils import get_int_ext_temperature\n",
    "from temperature.exterior import get_ext_df\n",
    "import plotly.express as px"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "date_installation = '2021-07-17 17:00:00'"
   ]
  },
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   "execution_count": null,
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   "source": [
    "# Scripts to pull data \n",
    "\n",
    "# df_2020 = get_int_ext_temperature('2020-06-01', '2020-08-31')\n",
    "# df_2020.to_csv(\"all_temperature_2020.csv\")\n",
    "\n",
    "# df_2021 = get_int_ext_temperature('2021-06-01', '2021-07-23')\n",
    "# df_2021.to_csv(\"all_temperature_2021.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read data \n",
    "\n",
    "df_2020 = pd.read_csv('data/all_temperature_2020.csv')\n",
    "df_2021 = pd.read_csv('data/all_temperature_2021.csv')\n",
    "\n",
    "# Build dataset\n",
    "df = pd.concat([df_2020[df_2020['datetime'] < '2020-09-01'], df_2021])\n",
    "df['datetime'] = pd.to_datetime(df['datetime'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
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   "source": [
    "# Add features \n",
    "\n",
    "df['hour'] = df['datetime'].dt.hour\n",
    "df['month'] = df['datetime'].dt.month\n",
    "df['install'] = np.where(df['datetime'] > date_installation, 1, 0)\n",
    "\n",
    "# Remove column\n",
    "df.drop('Unnamed: 0', axis=1, inplace=True)\n",
    "df.dropna(inplace=True)"
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      "3.4636817254271115\n"
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    "# What is the mean temperature per hour of the day? \n",
    "\n",
    "df_hour_pre = df[df['datetime'] < date_installation].groupby('hour')['datetime', 'temp_interior', 'temp_exterior', 'diff'].mean().reset_index()\n",
    "df_hour_pre['datetime'] = df_hour_pre['hour']\n",
    "plot_diff_graph(df_hour_pre)\n",
    "print(df_hour_pre['diff'].mean())"
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    "# What is the mean temperature per hour of the day? \n",
    "\n",
    "df_hour_post = df[df['datetime'] > date_installation].groupby('hour')['datetime', 'temp_interior', 'temp_exterior', 'diff'].mean().reset_index()\n",
    "df_hour_post['datetime'] = df_hour_post['hour']\n",
    "plot_diff_graph(df_hour_post)\n",
    "print(df_hour_post['diff'].mean())"
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  {
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   "metadata": {},
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       "      <td>8.8</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1263</th>\n",
       "      <td>2021-07-23 15:00:00</td>\n",
       "      <td>28.5</td>\n",
       "      <td>28.8</td>\n",
       "      <td>-0.3</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1264</th>\n",
       "      <td>2021-07-23 16:00:00</td>\n",
       "      <td>28.8</td>\n",
       "      <td>30.0</td>\n",
       "      <td>-1.2</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1265</th>\n",
       "      <td>2021-07-23 17:00:00</td>\n",
       "      <td>28.9</td>\n",
       "      <td>28.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1266</th>\n",
       "      <td>2021-07-23 18:00:00</td>\n",
       "      <td>28.8</td>\n",
       "      <td>29.4</td>\n",
       "      <td>-0.6</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1267</th>\n",
       "      <td>2021-07-23 19:00:00</td>\n",
       "      <td>28.7</td>\n",
       "      <td>29.4</td>\n",
       "      <td>-0.7</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>377 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                datetime  temp_interior  temp_exterior  diff  hour  month  \\\n",
       "734  2020-07-01 14:00:00           28.5           23.2   5.3    14      7   \n",
       "735  2020-07-01 15:00:00           28.5           21.4   7.1    15      7   \n",
       "736  2020-07-01 16:00:00           29.2           22.6   6.6    16      7   \n",
       "737  2020-07-01 17:00:00           29.7           20.0   9.7    17      7   \n",
       "738  2020-07-01 18:00:00           29.6           20.8   8.8    18      7   \n",
       "...                  ...            ...            ...   ...   ...    ...   \n",
       "1263 2021-07-23 15:00:00           28.5           28.8  -0.3    15      7   \n",
       "1264 2021-07-23 16:00:00           28.8           30.0  -1.2    16      7   \n",
       "1265 2021-07-23 17:00:00           28.9           28.9   0.0    17      7   \n",
       "1266 2021-07-23 18:00:00           28.8           29.4  -0.6    18      7   \n",
       "1267 2021-07-23 19:00:00           28.7           29.4  -0.7    19      7   \n",
       "\n",
       "      install  \n",
       "734         0  \n",
       "735         0  \n",
       "736         0  \n",
       "737         0  \n",
       "738         0  \n",
       "...       ...  \n",
       "1263        1  \n",
       "1264        1  \n",
       "1265        1  \n",
       "1266        1  \n",
       "1267        1  \n",
       "\n",
       "[377 rows x 7 columns]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Only take day differences \n",
    "df = df[(df['hour'] > 13) & (df['hour'] < 21)]\n",
    "df[df['month'] == 7]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   diff   R-squared:                       0.260\n",
      "Model:                            OLS   Adj. R-squared:                  0.258\n",
      "Method:                 Least Squares   F-statistic:                     118.2\n",
      "Date:                Sun, 25 Jul 2021   Prob (F-statistic):           1.25e-65\n",
      "Time:                        15:13:16   Log-Likelihood:                -2438.4\n",
      "No. Observations:                1014   AIC:                             4885.\n",
      "Df Residuals:                    1010   BIC:                             4905.\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const         17.1992      1.040     16.537      0.000      15.158      19.240\n",
      "install       -4.0648      0.415     -9.805      0.000      -4.878      -3.251\n",
      "month         -1.6673      0.110    -15.139      0.000      -1.883      -1.451\n",
      "hour          -0.1422      0.042     -3.370      0.001      -0.225      -0.059\n",
      "==============================================================================\n",
      "Omnibus:                       41.376   Durbin-Watson:                   0.254\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               53.838\n",
      "Skew:                          -0.406   Prob(JB):                     2.04e-12\n",
      "Kurtosis:                       3.784   Cond. No.                         228.\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "Y = df['diff']\n",
    "X = df[['install', 'month', 'hour']]\n",
    "X = sm.add_constant(X)\n",
    "model = sm.OLS(Y,X)\n",
    "results = model.fit()\n",
    "print(results.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_diff_graph(df):\n",
    "    \"\"\"Stack df and plot\"\"\"\n",
    "    df = df[['datetime', 'temp_interior', 'temp_exterior', 'diff']]\n",
    "    df_stack = df.set_index('datetime')\\\n",
    "                    .stack().reset_index()\\\n",
    "                    .rename(columns={'level_1':'variable',\n",
    "                                    0:'value'})\n",
    "\n",
    "    fig = px.line(df_stack, x=\"datetime\", y=\"value\", color=\"variable\")\n",
    "    return fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_dd = df[['datetime', 'temp_interior', 'temp_exterior']]\\\n",
    "    .set_index('datetime')\\\n",
    "    .stack().reset_index()\\\n",
    "    .rename(columns={'level_1':'variable',\n",
    "                    0:'value'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_dd['time'] = np.where(df_dd['datetime'] > date_installation, 1, 0)\n",
    "df_dd['int'] =  np.where(df_dd['variable'] == 'temp_interior', 1, 0)\n",
    "df_dd['inter'] = df_dd['time'] * df_dd['int']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "X2 = df_dd[['time', 'int', 'inter']]\n",
    "Y2 = df_dd['value']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                  value   R-squared:                       0.181\n",
      "Model:                            OLS   Adj. R-squared:                  0.180\n",
      "Method:                 Least Squares   F-statistic:                     149.1\n",
      "Date:                Sun, 25 Jul 2021   Prob (F-statistic):           2.63e-87\n",
      "Time:                        14:10:29   Log-Likelihood:                -5559.9\n",
      "No. Observations:                2028   AIC:                         1.113e+04\n",
      "Df Residuals:                    2024   BIC:                         1.115e+04\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const         23.9328      0.121    198.403      0.000      23.696      24.169\n",
      "time           4.6127      0.579      7.966      0.000       3.477       5.748\n",
      "int            3.4607      0.171     20.287      0.000       3.126       3.795\n",
      "inter         -4.4244      0.819     -5.403      0.000      -6.030      -2.818\n",
      "==============================================================================\n",
      "Omnibus:                      192.788   Durbin-Watson:                   0.646\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              304.949\n",
      "Skew:                           0.693   Prob(JB):                     6.04e-67\n",
      "Kurtosis:                       4.300   Cond. No.                         12.9\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "X3 = sm.add_constant(X2)\n",
    "est = sm.OLS(Y2, X3)\n",
    "est2 = est.fit()\n",
    "print(est2.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24.65714285714286"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2020['datetime'] = pd.to_datetime(df_2020['datetime'])\n",
    "df_2020[(df_2020['datetime'].dt.month == 7) & \n",
    "        (df_2020['datetime'].dt.hour > 12) & \n",
    "        (df_2020['datetime'].dt.hour < 20)]['temp_exterior'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "23.365838509316767"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2021['datetime'] = pd.to_datetime(df_2021['datetime'])\n",
    "df_2021[(df_2021['datetime'].dt.month == 7) & \n",
    "        (df_2021['datetime'].dt.hour > 12) & \n",
    "        (df_2021['datetime'].dt.hour < 20)]['temp_exterior'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "variable=temp_interior<br>datetime=%{x}<br>value=%{y}<extra></extra>",
         "legendgroup": "temp_interior",
         "line": {
          "color": "#636efa",
          "dash": "solid"
         },
         "mode": "lines",
         "name": "temp_interior",
         "showlegend": true,
         "type": "scattergl",
         "x": [
          "2020-06-01T00:00:00",
          "2020-06-01T01:00:00",
          "2020-06-01T02:00:00",
          "2020-06-01T03:00:00",
          "2020-06-01T04:00:00",
          "2020-06-01T05:00:00",
          "2020-06-01T06:00:00",
          "2020-06-01T07:00:00",
          "2020-06-01T08:00:00",
          "2020-06-01T09:00:00",
          "2020-06-01T10:00:00",
          "2020-06-01T11:00:00",
          "2020-06-01T12:00:00",
          "2020-06-01T13:00:00",
          "2020-06-01T14:00:00",
          "2020-06-01T15:00:00",
          "2020-06-01T16:00:00",
          "2020-06-01T17:00:00",
          "2020-06-01T18:00:00",
          "2020-06-01T19:00:00",
          "2020-06-01T20:00:00",
          "2020-06-01T21:00:00",
          "2020-06-01T22:00:00",
          "2020-06-01T23:00:00",
          "2020-06-02T00:00:00",
          "2020-06-02T01:00:00",
          "2020-06-02T02:00:00",
          "2020-06-02T03:00:00",
          "2020-06-02T04:00:00",
          "2020-06-02T05:00:00",
          "2020-06-02T06:00:00",
          "2020-06-02T07:00:00",
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          "2020-06-02T11:00:00",
          "2020-06-02T12:00:00",
          "2020-06-02T13:00:00",
          "2020-06-02T14:00:00",
          "2020-06-02T15:00:00",
          "2020-06-02T16:00:00",
          "2020-06-02T17:00:00",
          "2020-06-02T18:00:00",
          "2020-06-02T19:00:00",
          "2020-06-02T20:00:00",
          "2020-06-02T21:00:00",
          "2020-06-02T22:00:00",
          "2020-06-02T23:00:00",
          "2020-06-03T00:00:00",
          "2020-06-03T01:00:00",
          "2020-06-03T02:00:00",
          "2020-06-03T03:00:00",
          "2020-06-03T04:00:00",
          "2020-06-03T05:00:00",
          "2020-06-03T06:00:00",
          "2020-06-03T07:00:00",
          "2020-06-03T08:00:00",
          "2020-06-03T09:00:00",
          "2020-06-03T10:00:00",
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          "2020-06-05T01:00:00",
          "2020-06-05T02:00:00",
          "2020-06-05T03:00:00",
          "2020-06-05T04:00:00",
          "2020-06-05T05:00:00",
          "2020-06-05T06:00:00",
          "2020-06-05T07:00:00",
          "2020-06-05T08:00:00",
          "2020-06-05T09:00:00",
          "2020-06-05T10:00:00",
          "2020-06-05T11:00:00",
          "2020-06-05T12:00:00",
          "2020-06-05T13:00:00",
          "2020-06-05T14:00:00",
          "2020-06-05T15:00:00",
          "2020-06-05T16:00:00",
          "2020-06-05T17:00:00",
          "2020-06-05T18:00:00",
          "2020-06-05T19:00:00",
          "2020-06-05T20:00:00",
          "2020-06-05T21:00:00",
          "2020-06-05T22:00:00",
          "2020-06-05T23:00:00",
          "2020-06-06T00:00:00",
          "2020-06-06T01:00:00",
          "2020-06-06T02:00:00",
          "2020-06-06T03:00:00",
          "2020-06-06T04:00:00",
          "2020-06-06T05:00:00",
          "2020-06-06T06:00:00",
          "2020-06-06T07:00:00",
          "2020-06-06T08:00:00",
          "2020-06-06T09:00:00",
          "2020-06-06T10:00:00",
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          "2020-06-06T12:00:00",
          "2020-06-06T13:00:00",
          "2020-06-06T14:00:00",
          "2020-06-06T15:00:00",
          "2020-06-06T16:00:00",
          "2020-06-06T17:00:00",
          "2020-06-06T18:00:00",
          "2020-06-06T19:00:00",
          "2020-06-06T20:00:00",
          "2020-06-06T21:00:00",
          "2020-06-06T22:00:00",
          "2020-06-06T23:00:00",
          "2020-06-07T00:00:00",
          "2020-06-07T01:00:00",
          "2020-06-07T02:00:00",
          "2020-06-07T03:00:00",
          "2020-06-07T04:00:00",
          "2020-06-07T05:00:00",
          "2020-06-07T06:00:00",
          "2020-06-07T07:00:00",
          "2020-06-07T08:00:00",
          "2020-06-07T09:00:00",
          "2020-06-07T10:00:00",
          "2020-06-07T11:00:00",
          "2020-06-07T12:00:00",
          "2020-06-07T13:00:00",
          "2020-06-07T14:00:00",
          "2020-06-07T15:00:00",
          "2020-06-07T16:00:00",
          "2020-06-07T17:00:00",
          "2020-06-07T18:00:00",
          "2020-06-07T19:00:00",
          "2020-06-07T20:00:00",
          "2020-06-07T21:00:00",
          "2020-06-07T22:00:00",
          "2020-06-07T23:00:00",
          "2020-06-08T00:00:00",
          "2020-06-08T01:00:00",
          "2020-06-08T02:00:00",
          "2020-06-08T03:00:00",
          "2020-06-08T04:00:00",
          "2020-06-08T05:00:00",
          "2020-06-08T06:00:00",
          "2020-06-08T07:00:00",
          "2020-06-08T08:00:00",
          "2020-06-08T09:00:00",
          "2020-06-08T10:00:00",
          "2020-06-08T11:00:00",
          "2020-06-08T12:00:00",
          "2020-06-08T13:00:00",
          "2020-06-08T14:00:00",
          "2020-06-08T15:00:00",
          "2020-06-08T16:00:00",
          "2020-06-08T17:00:00",
          "2020-06-08T18:00:00",
          "2020-06-08T19:00:00",
          "2020-06-08T20:00:00",
          "2020-06-08T21:00:00",
          "2020-06-08T22:00:00",
          "2020-06-08T23:00:00",
          "2020-06-09T00:00:00",
          "2020-06-09T01:00:00",
          "2020-06-09T02:00:00",
          "2020-06-09T03:00:00",
          "2020-06-09T04:00:00",
          "2020-06-09T05:00:00",
          "2020-06-09T06:00:00",
          "2020-06-09T07:00:00",
          "2020-06-09T08:00:00",
          "2020-06-09T09:00:00",
          "2020-06-09T10:00:00",
          "2020-06-09T11:00:00",
          "2020-06-09T12:00:00",
          "2020-06-09T13:00:00",
          "2020-06-09T14:00:00",
          "2020-06-09T15:00:00",
          "2020-06-09T16:00:00",
          "2020-06-09T17:00:00",
          "2020-06-09T18:00:00",
          "2020-06-09T19:00:00",
          "2020-06-09T20:00:00",
          "2020-06-09T21:00:00",
          "2020-06-09T22:00:00",
          "2020-06-09T23:00:00",
          "2020-06-10T00:00:00",
          "2020-06-10T01:00:00",
          "2020-06-10T02:00:00",
          "2020-06-10T03:00:00",
          "2020-06-10T04:00:00",
          "2020-06-10T05:00:00",
          "2020-06-10T06:00:00",
          "2020-06-10T07:00:00",
          "2020-06-10T08:00:00",
          "2020-06-10T09:00:00",
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          31.2,
          31.1,
          31.2,
          31.3,
          31.3,
          31.6,
          32.5,
          33.1,
          33.8,
          34.6,
          35.3,
          35.9,
          36.2,
          36.1,
          35.7,
          35.2,
          34.6,
          34,
          33.4,
          32.9,
          32.4,
          31.9,
          31.4,
          31,
          30.5,
          30.5,
          30.7,
          31,
          31.5,
          31.7,
          31.7,
          31.9,
          32.1,
          32.1,
          32.2,
          32.5,
          31.2,
          29.8,
          29.4,
          28.2,
          27.6,
          26.9,
          26.4,
          26.4,
          26.3,
          26,
          25.7,
          25.4,
          25.2,
          25,
          25.2,
          25.6,
          26.3,
          26.8,
          27.4,
          27.3,
          27.8,
          28.9,
          29.5,
          29.4,
          30,
          30.2,
          30.1,
          29.7,
          29.1,
          28.6,
          28.1,
          27.7,
          27.3,
          27,
          26.7,
          26.3,
          26,
          25.9,
          26.4,
          26.9,
          27.6,
          28.4,
          29.3,
          29.9,
          30.6,
          31.1,
          31.7,
          31.8,
          32,
          31.9,
          31.4,
          30.6,
          29.8,
          29.1,
          28.5,
          27.9,
          27.3,
          26.9,
          26.6,
          26.3,
          26,
          25.8,
          25.9,
          26.4,
          27,
          27.7,
          28.2,
          28.8,
          29.2,
          29.4,
          29.5,
          29.5,
          29.5,
          29.5,
          29.3,
          29,
          28.6,
          28.2,
          27.9,
          27.6,
          27.3,
          27,
          26.8,
          26.6,
          26.3,
          26.2,
          26.3,
          26.6,
          27.1,
          27.5,
          27.8,
          28.1,
          28.3,
          28.5,
          28.5,
          28.5,
          29.2,
          29.7,
          29.6,
          29.1,
          28.2,
          27.2,
          26.7,
          26.3,
          25.9,
          25.6,
          25.3,
          25,
          24.8,
          24.6,
          24.5,
          24.3,
          24.5,
          25.1,
          25.8,
          26.4,
          27,
          27.6,
          27.7,
          27.7,
          27.4,
          27.7,
          27.8,
          27.4,
          26.7,
          25.9,
          25.2,
          24.9,
          24.6,
          24.2,
          23.9,
          23.5,
          23.1,
          23.2,
          23.5,
          23.8,
          24.2,
          25.1,
          26,
          26.6,
          27.2,
          27.5,
          27.4,
          27.5,
          27.9,
          28.3,
          28.2,
          27.8,
          27,
          25.7,
          24.8,
          24.5,
          24.3,
          24.1,
          23.9,
          23.6,
          23.3,
          23.2,
          23.1,
          23.1,
          23.8,
          25,
          25.6,
          26.1,
          26.5,
          26.8,
          27.1,
          27.3,
          27.4,
          27.3,
          27.1,
          26.8,
          26.6,
          26.3,
          26.1,
          25.8,
          25.6,
          25.4,
          25.2,
          25,
          24.8,
          24.7,
          24.8,
          24.9,
          25.4,
          26,
          26.7,
          27.2,
          27.5,
          27.7,
          27.9,
          28.2,
          28.6,
          28.8,
          28.7,
          28.4,
          27.9,
          27.4,
          26.9,
          26.3,
          25.7,
          25.1,
          24.6,
          24,
          23.6,
          23.5,
          23.9,
          24.4,
          25,
          25.6,
          26.4,
          27.1,
          27.4,
          27.6,
          28.1,
          28.5,
          29.2,
          29.4,
          29,
          28.3,
          27.5,
          26.5,
          25.4,
          24.8,
          24.2,
          23.6,
          23.1,
          22.5,
          22.1,
          22.1,
          22.5,
          22.7,
          22.8,
          23.4,
          23.9,
          24.6,
          25.4,
          26.1,
          26.8,
          27.3,
          27.6,
          27.6,
          26.9,
          26.3,
          25.8,
          25.6,
          25.4,
          25,
          24.7,
          24.3,
          24,
          23.6,
          23.2,
          23,
          23,
          23.4,
          24.2,
          25.2,
          26.2,
          27,
          27.6,
          28,
          28.5,
          29.3,
          29.7,
          29.9,
          29.8,
          29.4,
          28.9,
          28.4,
          27.7,
          27.2,
          26.6,
          26,
          25.5,
          25,
          24.6,
          24.5,
          24.8,
          25.1,
          25.4,
          26.1,
          26.9,
          27.5,
          28,
          28.7,
          29.5,
          30.1,
          30.3,
          30.4,
          30.3,
          30,
          29.6,
          29.2,
          28.6,
          27.8,
          27.2,
          26.6,
          26,
          25.5,
          25,
          24.5,
          24.2,
          24.3,
          24.4,
          24.8,
          24.9,
          25.1,
          25.4,
          26,
          26.5,
          26.7,
          26.3,
          26.1,
          25.7,
          25.2,
          24.6,
          24.2,
          23.9,
          23.7,
          23.5,
          23.1,
          22.8,
          22.4,
          22.1,
          22.2,
          22.8,
          23.4,
          23.9,
          24.2,
          24.7,
          25.1,
          25.7,
          26.1,
          26.7,
          27.2,
          27,
          26.6,
          26.1,
          25.4,
          25.2,
          25.1,
          24.8,
          24.3,
          23.8,
          23.4,
          23,
          22.6,
          22.2,
          22.3,
          22.9,
          23.6,
          24.2,
          24.8,
          25.1,
          25.2,
          25.5,
          26,
          26.7,
          27.5,
          27.9,
          28.1,
          27.7,
          27.2,
          26.6,
          26.2,
          25.6,
          25.1,
          24.6,
          24.1,
          23.5,
          23,
          22.5,
          22.6,
          23.1,
          23.5,
          24,
          24.9,
          25.7,
          26.1,
          26.5,
          26.9,
          27.6,
          28.2,
          28.5,
          28.9,
          28.6,
          28.2,
          27.5,
          26.9,
          26.3,
          25.7,
          25.2,
          24.7,
          24.2,
          23.8,
          23.4,
          23.1,
          23.2,
          23.7,
          24.1,
          24.4,
          24.5,
          24.4,
          25.1,
          25.7,
          26.1,
          25.9,
          25.9,
          26,
          25.9,
          25.7,
          25.3,
          24.9,
          24.5,
          24.1,
          23.7,
          23.4,
          23.1,
          22.9,
          22.7,
          22.7,
          22.9,
          23.4,
          24,
          24.5,
          24.7,
          24.8,
          24.6,
          25.1,
          25.8,
          26.2,
          26.4,
          25.7,
          24.7,
          24.1,
          23.8,
          23.8,
          23.7,
          23.5,
          23.2,
          22.9,
          22.7,
          22.4,
          22.2,
          21.9,
          22,
          22.5,
          23.1,
          23.7,
          24,
          24.1,
          24.5,
          24.8,
          25,
          25.1,
          25.1,
          25,
          24.9,
          24.6,
          24.4,
          24.2,
          24,
          23.8,
          23.6,
          23.4,
          23.1,
          22.9,
          22.7,
          22.8,
          23.2,
          23.9,
          24.5,
          25.1,
          25.8,
          26.2,
          26.4,
          26.9,
          27.7,
          28.3,
          28.6,
          28.6,
          28.3,
          28,
          27.6,
          27.3,
          27,
          26.6,
          26.2,
          25.9,
          25.6,
          25.2,
          24.9,
          24.9,
          25.2,
          25.7,
          26.3,
          27.1,
          27.7,
          28.1,
          28.5,
          28.9,
          29.4,
          30.1,
          30.6,
          30.7,
          30.3,
          29.9,
          29.4,
          28.9,
          28.4,
          27.9,
          27.4,
          27,
          26.6,
          26.2,
          25.8,
          25.7,
          26.1,
          26.5,
          27.1,
          28,
          28.7,
          29.1,
          29.4,
          29.8,
          30.4,
          31.1,
          31.5,
          31.6,
          31.3,
          30.8,
          30.3,
          29.8,
          29.3,
          28.7,
          28.2,
          27.7,
          27.3,
          27,
          26.7,
          26.5,
          26.4,
          26.6,
          26.9,
          27.3,
          27.8,
          28.3,
          28.6,
          29,
          29.5,
          30.1,
          30.5,
          30.5,
          30.1,
          29.5,
          28.8,
          28.2,
          27.6,
          27,
          26.5,
          25.9,
          25.4,
          24.9,
          24.5,
          24.4,
          24.7,
          25.3,
          25.9,
          26.7,
          27.3,
          27.6,
          27.8,
          28,
          28.6,
          29.2,
          29.6,
          29.6,
          29.3,
          28.7,
          28.2,
          27.6,
          27.1,
          26.5,
          26,
          25.5,
          25,
          24.5,
          24.1,
          24,
          24.3,
          24.8,
          25.5,
          26.2,
          26.9,
          27.3,
          27.6,
          27.8,
          28.3,
          28.9,
          29.2,
          29.3,
          29,
          28.5,
          28,
          27.4,
          27,
          26.6,
          26.2,
          25.8,
          25.4,
          25,
          24.7,
          24.6,
          25,
          25.5,
          26.1,
          26.9,
          27.5,
          27.8,
          28.1,
          28.6,
          29.2,
          29.8,
          30,
          29.9,
          29.7,
          29.3,
          28.9,
          28.5,
          27.7,
          27,
          26.6,
          26.1,
          25.7,
          25.3,
          24.9,
          24.7,
          24.7,
          24.8,
          25.2,
          25.8,
          26.2,
          26.2,
          26.3,
          26.4,
          26.5,
          27,
          27.1,
          26.8,
          26.5,
          26.3,
          26.2,
          26.2,
          26.1,
          25.9,
          25.7,
          25.4,
          25.2,
          24.9,
          24.7,
          24.7,
          24.9,
          25.3,
          25.6,
          26.2,
          27,
          27.4,
          28,
          28.5,
          28.9,
          28.8,
          28.1,
          27.6,
          27.4,
          27.1,
          26.8,
          26.5,
          26.2,
          25.8,
          25.3,
          24.8,
          24.5,
          24.2,
          23.8,
          23.7,
          23.9,
          24.2,
          24.7,
          25.1,
          25.4,
          25.7,
          25.9,
          26.1,
          26.6,
          27,
          27.2,
          27.3,
          27.1,
          26.7,
          26.3,
          26.2,
          25.9,
          25.4,
          24.9,
          24.5,
          24.2,
          23.9,
          23.5,
          23.3,
          23.6,
          24,
          24.6,
          25.4,
          26.1,
          26.6,
          27,
          27.5,
          28,
          28.8,
          29.4,
          29.6,
          29.3,
          29,
          28.5,
          28,
          27.5,
          26.9,
          26.4,
          25.9,
          25.5,
          25.1,
          24.8,
          24.5,
          24.3,
          24.7,
          25.4,
          26,
          26.4,
          26.8,
          27,
          26.8,
          27,
          27.3,
          27.2,
          26.9,
          26.4,
          25.8,
          25.6,
          25,
          24.5,
          24.1,
          23.7,
          23.2,
          22.7,
          22.3,
          21.9,
          21.8,
          22.1,
          22.5,
          22.8,
          22.9,
          23.3,
          23.7,
          24,
          24.3,
          24.8,
          25.5,
          26.1,
          26.4,
          26.2,
          25.9,
          25.6,
          25.3,
          24.9,
          24.4,
          23.9,
          23.4,
          23,
          22.6,
          22.1,
          21.9,
          22.3,
          22.9,
          23.7,
          24.5,
          25.1,
          25.4,
          25.7,
          26,
          26.5,
          27.3,
          28,
          28.3,
          28.2,
          28,
          27.7,
          27.6,
          27.4,
          27,
          26.7,
          26.3,
          25.9,
          25.6,
          25.3,
          25.3,
          25.7,
          26.2,
          26.9,
          27.7,
          28.3,
          28.6,
          29,
          29.5,
          30,
          30.2,
          30.4,
          30.5,
          30.4,
          30.3,
          30.1,
          30,
          29.8,
          29.6,
          29.3,
          29.1,
          28.8,
          28.5,
          28.2,
          28,
          28.1,
          28.2,
          28.4,
          28.7,
          29.1,
          29.5,
          29.9,
          30.3,
          30.7,
          31,
          31,
          31.1,
          31,
          30.6,
          30.2,
          29.7,
          29.3,
          28.9,
          28.5,
          28.2,
          27.8,
          27.4,
          27,
          26.7,
          26.7,
          26.9,
          27.3,
          28,
          28.3,
          28.4,
          28.6,
          28.8,
          29,
          29.4,
          29.7,
          29.9,
          29.6,
          29.2,
          28.6,
          28,
          27.5,
          27,
          26.6,
          26.1,
          25.8,
          25.4,
          25.1,
          24.9,
          24.8,
          24.9,
          25.3,
          26,
          26.6,
          27,
          27.2,
          27.2,
          27.3,
          27.8,
          28.3,
          28.2,
          27.9,
          27.4,
          26.8,
          26.2,
          25.8,
          25.3,
          24.9,
          24.5,
          24.1,
          23.8,
          23.4,
          23.2,
          23.5,
          23.9,
          24.5,
          25.1,
          25.4,
          25.5,
          25.7,
          25.9,
          26.2,
          26.7,
          27.2,
          27.4,
          27.2,
          26.9,
          26.5,
          26.1,
          25.8,
          25.4,
          25.1,
          24.8,
          24.5,
          24.2,
          23.9,
          23.8,
          24,
          24.4,
          25,
          25.5,
          25.8,
          25.9,
          26,
          26.1,
          26.3,
          26.8,
          27.4,
          27.7,
          27.6,
          27.4,
          27.1,
          26.9,
          26.6,
          26.4,
          26.1,
          25.8,
          25.5,
          25.2,
          24.9,
          24.8,
          25,
          25.4,
          26,
          26.6,
          27,
          27.1,
          27.3,
          27.4,
          27.7,
          28.2,
          28.8,
          29,
          29,
          28.8,
          28.6,
          28.4,
          28.2,
          28,
          27.8,
          27.6,
          27.4,
          27.2,
          27,
          26.8,
          27.1,
          27.5,
          28.1,
          28.8,
          29,
          29.1,
          29.3,
          29.4,
          29.6,
          30.1,
          30.6,
          30.9,
          30.8,
          30.6,
          30.4,
          30.2,
          30,
          29.8,
          29.5,
          29.3,
          29,
          28.8,
          28.5,
          28.4,
          28.6,
          29,
          29.6,
          30.2,
          30.5,
          30.9,
          31.3,
          31.9,
          32.4,
          32.6,
          33,
          33.2,
          33.1,
          32.8,
          32.6,
          32.3,
          32,
          31.7,
          31.5,
          31.2,
          31,
          30.7,
          30.5,
          30.3,
          30.3,
          30.5,
          31,
          31.6,
          31.8,
          32,
          32.1,
          32.3,
          32.5,
          33,
          33.5,
          33.8,
          33.8,
          33.6,
          33.3,
          33,
          32.6,
          32.3,
          32.1,
          31.8,
          31.6,
          31.3,
          31.1,
          30.9,
          30.8,
          30.8,
          31.2,
          31.8,
          32.1,
          32.4,
          32.7,
          32.9,
          33,
          33.2,
          33.6,
          33.7,
          33.6,
          33.4,
          33,
          32.7,
          32.4,
          32.1,
          31.9,
          31.6,
          31.4,
          31.1,
          30.9,
          30.7,
          30.8,
          31.2,
          31.8,
          32.2,
          32.5,
          32.6,
          32.8,
          33.1,
          33.1,
          32.9,
          32.5,
          32.2,
          32,
          31.8,
          31.6,
          31.4,
          31.2,
          31,
          30.8,
          30.7,
          30.5,
          30.2,
          30,
          29.8,
          29.7,
          30.1,
          30.7,
          31.1,
          31.4,
          31.5,
          31.7,
          31.9,
          32.1,
          32.3,
          32.4,
          32.2,
          31.8,
          31.6,
          31.2,
          30.5,
          30.1,
          29.6,
          29.2,
          28.8,
          28.5,
          28,
          27.6,
          27.2,
          27.2,
          27.1,
          27.2,
          27.6,
          28,
          28.5,
          29,
          29.4,
          29.3,
          29.2,
          28.9,
          28.5,
          28.1,
          27.7,
          27.4,
          27.1,
          26.9,
          26.6,
          26.3,
          26,
          25.6,
          25.3,
          25.1,
          25,
          25,
          24.9,
          25,
          25.1,
          25.6,
          26.1,
          26.7,
          27.1,
          27.3,
          27.4,
          27.3,
          27.1,
          26.7,
          26.3,
          26.3,
          26,
          25.9,
          25.8,
          25.6,
          25.4,
          25.1,
          24.9,
          24.7,
          24.5,
          24.5,
          24.6,
          24.8,
          25.1,
          25.3,
          25.8,
          26.1,
          26.6,
          27.1,
          27.4,
          27.7,
          27.9,
          27.7,
          27.4,
          27.1,
          26.8,
          26.5,
          26.2,
          25.8,
          25.5,
          25.2,
          24.9,
          24.7,
          24.5,
          24.5,
          24.5,
          24.3,
          24.3,
          24.8,
          25.2,
          25.6,
          25.9,
          26.3,
          26.4,
          26.4,
          26.5,
          26.3,
          26,
          25.8,
          25.7,
          25.4,
          25,
          24.8,
          24.5,
          24.2,
          24,
          23.7,
          23.5,
          23.3,
          23.4,
          23.5,
          23.8,
          23.8,
          24.1,
          24.3,
          24.7,
          25,
          25.2,
          25.3,
          25.3,
          25.2,
          24.8,
          24.8,
          24.8,
          24.4,
          24.2,
          24,
          23.8,
          23.6,
          23.5,
          23.3,
          23.1,
          23.2,
          23.3,
          23.5,
          23.9,
          24.2,
          24.5,
          24.8,
          25.1,
          25.5,
          25.8,
          25.9,
          26.1,
          26.2,
          26,
          25.9,
          25.7,
          25.5,
          25.3,
          25.1,
          24.9,
          24.7,
          24.4,
          24.1,
          23.9,
          23.9,
          24,
          24.2,
          24.6,
          25.3,
          26,
          26.3,
          26.6,
          26.7,
          26.6,
          26.5,
          26.4,
          26.3,
          26.2,
          26.1,
          26.1,
          25.8,
          25.6,
          25.4,
          25.2,
          25,
          24.9,
          24.8,
          24.7,
          24.9,
          25.2,
          25.6,
          26.1,
          26.7,
          27.2,
          27.8,
          28.3,
          28.8,
          29.2,
          29.4,
          29.5,
          29.3,
          29,
          28.9,
          28.6,
          28.4,
          28.2,
          28,
          27.7,
          27.2,
          26.7,
          26.4,
          26.2,
          26.1,
          26.2,
          26.4,
          26.4,
          26.7,
          27.1,
          27.3,
          27.7,
          27.9,
          28.2,
          28.3,
          28.4,
          28.2,
          28,
          27.7,
          27.4,
          27.1,
          26.7,
          26.4,
          26.1,
          25.8,
          25.5,
          25.2,
          24.9,
          24.9,
          25.1,
          25.4,
          25.7,
          26.1,
          26.5,
          26.9,
          27.2,
          27.4,
          27.5,
          27.5,
          27,
          26.4,
          25.8,
          25.2,
          25,
          25,
          24.8,
          24.7,
          24.4,
          24,
          23.6,
          23.1,
          22.7,
          22.5,
          22.7,
          22.9,
          23.1,
          23.3,
          23.6,
          24,
          24.4,
          24.8,
          25,
          25.2,
          25.3,
          24.9,
          24.3,
          24.2,
          24,
          23.7,
          23.4,
          23,
          22.7,
          22.4,
          22.1,
          21.8,
          21.6,
          21.6,
          21.9,
          22,
          22.2,
          22.6,
          23.2,
          23.6,
          24,
          24.3,
          24.5,
          24.5,
          24.5,
          24.3,
          24,
          23.7,
          23.4,
          23.1,
          22.9,
          22.6,
          22.4,
          22.2,
          21.9,
          21.7,
          21.5,
          21.3,
          21.3,
          21.6,
          22.1,
          22.7,
          23.5,
          24.3,
          25,
          25.5,
          26,
          26.3,
          26.4,
          26.2,
          26,
          25.7,
          25.4,
          25.2,
          24.9,
          24.6,
          24.3,
          23.9,
          23.7,
          23.4,
          23.1,
          23,
          23.2,
          23.5,
          23.8,
          24,
          24,
          24.2,
          24.4,
          24.6,
          24.7,
          25,
          25.2,
          25.1,
          24.9,
          24.6,
          24.3,
          23.9,
          23.6,
          23.3,
          22.9,
          22.7,
          22.4,
          22.2,
          22.1,
          22,
          22.1,
          22.4,
          22.9,
          23.3,
          23.6,
          23.9,
          24,
          24.3,
          24.7,
          24.9,
          25.1,
          25.2,
          25.3,
          25.2,
          25,
          24.8,
          24.5,
          24.2,
          24,
          23.8,
          23.6,
          23.4,
          23.2,
          23,
          23.1,
          23.2,
          23.5,
          23.7,
          23.8,
          24,
          24.3,
          24.5,
          24.6,
          24.6,
          24.4,
          24,
          23.6,
          23.2,
          22.9,
          22.5,
          22.2,
          22,
          21.7,
          21.5,
          21.2,
          20.9,
          20.6,
          20.5,
          20.6,
          21,
          21.6,
          22.2,
          22.6,
          23,
          23.2,
          23.3,
          23.5,
          23.4,
          23.1,
          22.8,
          22.6,
          22.4,
          22.2,
          21.9,
          21.6,
          21.4,
          21.2,
          20.9,
          20.7,
          20.5,
          20.4,
          20.3,
          20.4,
          20.5,
          21,
          21.4,
          21.8,
          22.2,
          22.5,
          22.7,
          23.4,
          23.8,
          23.6,
          23.2,
          23,
          22.7,
          22.4,
          22,
          21.7,
          21.4,
          21.1,
          20.9,
          20.6,
          20.3,
          20.1,
          20,
          20.3,
          20.8,
          21.1,
          21.4,
          21.8,
          22,
          22.4,
          22.7,
          22.8,
          22.9,
          22.9,
          22.8,
          22.6,
          22.4,
          22,
          21.7,
          21.3,
          21,
          20.7,
          20.4,
          20.1,
          19.8,
          19.5,
          19.4,
          19.5,
          19.9,
          20.1,
          20.5,
          20.9,
          21.3,
          21.7,
          21.9,
          22.2,
          22.4,
          22.4,
          22.4,
          22.3,
          22,
          21.6,
          21.2,
          20.9,
          20.6,
          20.3,
          20,
          19.7,
          19.5,
          19.2,
          19,
          19.1,
          19.4,
          19.6,
          19.8,
          20.1,
          20.5,
          20.9,
          21.2,
          21.3,
          21.4,
          21.5,
          21.4,
          21.3,
          21.3,
          21.3,
          21.1,
          21,
          20.9,
          20.8,
          20.6,
          20.5,
          20.4,
          20.3,
          20.4,
          20.5,
          20.9,
          21.4,
          22,
          22.6,
          23,
          23.5,
          24,
          24.4,
          24.6,
          24.6,
          24.5,
          24.4,
          24.2,
          24.1,
          24.1,
          24,
          23.9,
          23.8,
          23.6,
          23.4,
          23.3,
          23.2,
          23.1,
          23.3,
          23.6,
          23.8,
          24,
          24.2,
          24.5,
          24.6,
          24.7,
          24.9,
          25,
          25.1,
          25.1,
          24.9,
          24.7,
          24.5,
          24.2,
          23.9,
          23.6,
          23.4,
          23.2,
          22.9,
          22.7,
          22.4,
          22.2,
          22.3,
          22.7,
          23.1,
          23.6,
          24,
          24.3,
          24.6,
          24.6,
          24.7,
          24.7,
          24.4,
          23.9,
          23.5,
          23.3,
          23.1,
          22.6,
          22,
          21.5,
          21,
          20.6,
          20.3,
          19.9,
          19.6,
          19.4,
          19.5,
          19.8,
          20,
          20.4,
          20.8,
          21.4,
          21.7,
          21.8,
          21.9,
          22.1,
          22.2,
          22.5,
          22.3,
          22.1,
          21.9,
          21.5,
          21.1,
          20.8,
          20.5,
          20.2,
          19.9,
          19.7,
          19.4,
          19.2,
          19.3,
          19.5,
          19.7,
          20,
          20.4,
          20.7,
          20.9,
          21.1,
          21.3,
          21.4,
          21.4,
          21.3,
          21.2,
          21.1,
          21.1,
          21,
          20.9,
          20.7,
          20.5,
          20.4,
          20.2,
          20,
          20,
          20,
          20.3,
          20.7,
          21.2,
          21.7,
          22.2,
          22.5,
          22.8,
          23,
          23.1,
          23.2,
          23.2,
          23.2,
          23.3,
          23.4,
          23.4,
          23.2,
          23,
          22.9,
          22.8,
          22.8,
          22.7,
          22.6,
          22.6,
          22.6,
          22.7,
          22.9,
          23,
          23.2,
          23.4,
          23.6,
          23.8,
          24,
          24.2,
          24.2,
          24.3,
          24.3,
          24.3,
          24.3,
          24,
          23.9,
          23.7,
          23.6,
          23.4,
          23.2,
          23,
          22.8,
          22.7,
          22.6,
          22.7,
          23,
          23.4,
          23.9,
          24.4,
          24.7,
          24.9,
          25.1,
          25.3,
          25.3,
          25.4,
          25.2,
          25,
          24.8,
          24.6,
          24.3,
          24.1,
          23.9,
          23.7,
          23.4,
          23.1,
          22.9,
          22.6,
          22.4,
          22.4,
          22.5,
          22.7,
          22.9,
          23.2,
          23.4,
          23.7,
          23.9,
          24.2,
          24.3,
          24.3,
          24.3,
          24.1,
          24,
          23.8,
          23.5,
          23.3,
          23,
          22.7,
          22.5,
          22.2,
          21.9,
          21.6,
          21.4,
          21.4,
          21.4,
          21.6,
          21.8,
          22,
          22.2,
          22.4,
          22.5,
          22.6,
          22.7,
          22.7,
          22.5,
          22.3,
          22.1,
          21.9,
          21.7,
          21.5,
          21.3,
          21.1,
          20.9,
          20.7,
          20.5,
          20.3,
          20.1,
          20.1,
          20.3,
          20.5,
          20.7,
          20.9,
          21.3,
          21.6,
          21.9,
          22.1,
          22.2,
          22.3,
          22.3,
          22.1,
          22,
          21.9,
          21.7,
          21.5,
          21.3,
          21.1,
          20.9,
          20.7,
          20.5,
          20.3,
          20.2,
          20.2,
          20.4,
          20.6,
          20.9,
          21.3,
          21.8,
          22.2,
          22.5,
          22.9,
          23.2,
          23.2,
          23.3,
          23.4,
          23.4,
          23.3,
          23.2,
          23.2,
          23.1,
          23,
          23,
          22.9,
          22.8,
          22.7,
          22.6,
          22.6,
          22.8,
          23.1,
          23.3,
          23.6,
          24,
          24.7,
          25.2,
          25.4,
          25.5,
          25.6,
          25.6,
          25.5,
          25.5,
          25.3,
          25.2,
          25,
          24.9,
          24.7,
          24.6,
          24.4,
          24.2,
          24,
          23.8,
          23.8,
          23.8,
          24,
          24.3,
          24.8,
          25.2,
          25.4,
          25.6,
          25.9,
          26.1,
          26.2,
          26.3,
          26.2,
          26.1,
          25.9,
          25.6,
          25.4,
          25.1,
          24.8,
          24.6,
          24.3,
          24.1,
          23.9,
          23.8,
          23.8,
          23.9,
          24,
          24.2,
          24.5,
          24.9,
          25.2,
          25.3,
          25.3,
          25.2,
          25.1,
          24.9,
          24.5,
          24.2,
          23.9,
          23.6,
          23.3,
          23,
          22.6,
          22.4,
          22.1,
          21.8,
          21.5,
          21.3,
          21.3,
          21.3,
          21.5,
          21.8,
          22.1,
          22.5,
          22.9,
          23.3,
          23.7,
          24.2,
          24.5,
          24.5,
          24.5,
          24.4,
          24.2,
          24,
          23.9,
          23.7,
          23.6,
          23.5,
          23.5,
          23.5,
          23.4,
          23.4,
          23.5,
          23.9,
          24.5,
          25.2,
          25.7,
          26,
          26.2,
          26.4,
          26.5,
          26.5,
          26.4,
          26.3,
          26.1,
          25.9,
          25.7,
          25.5,
          25.4,
          25.2,
          25,
          24.7,
          24.5,
          24.3,
          24.2,
          24,
          24.1,
          24.3,
          24.5,
          24.9,
          25.3,
          25.6,
          26,
          26.1,
          26.2,
          26.3,
          26.3,
          26.3,
          26.3,
          26.1,
          25.9,
          25.7,
          25.4,
          25.1,
          24.8,
          24.5,
          24.1,
          23.8,
          23.5,
          23.2,
          23,
          23,
          23.2,
          23.4,
          23.6,
          23.8,
          24,
          24.1,
          24.3,
          24.4,
          24.4,
          24.6,
          24.6,
          24.2,
          23.8,
          23.5,
          23.1,
          22.8,
          22.5,
          22.2,
          21.8,
          21.5,
          21.1,
          20.8,
          20.9,
          21.1,
          21.4,
          21.7,
          22,
          22.3,
          22.5,
          22.7,
          22.7,
          22.9,
          22.9,
          22.9,
          22.9,
          22.9,
          22.7,
          22.5,
          22.4,
          22.3,
          22.2,
          22.1,
          22,
          21.8,
          21.7,
          21.6,
          21.7,
          22,
          22.4,
          22.7,
          23,
          23.5,
          23.9,
          24,
          24.1,
          24.1,
          24,
          23.7,
          23.6,
          23.4,
          23.2,
          22.8,
          22.4,
          22,
          21.7,
          21.3,
          21,
          20.7,
          20.3,
          20.1,
          20,
          20.2,
          20.5,
          20.9,
          21.2,
          21.5,
          21.8,
          22,
          22.2,
          22.1,
          21.9,
          21.6,
          21.3,
          21,
          20.7,
          20.3,
          19.9,
          19.5,
          19.1,
          18.9,
          18.6,
          18.4,
          18.2,
          18,
          17.9,
          18,
          18.4,
          18.7,
          18.8,
          18.9,
          19.1,
          19.5,
          19.6,
          19.5,
          19.3,
          19.1,
          18.9,
          18.6,
          18.4,
          18.1,
          17.8,
          17.6,
          17.3,
          17.1,
          16.9,
          16.7,
          16.5,
          16.3,
          16.2,
          16.3,
          17.6,
          18.9,
          19.4,
          19.6,
          19.7,
          19.8,
          19.9,
          20.1,
          20.3,
          19.9,
          19.5,
          19,
          18.6,
          18.3,
          18.1,
          17.8,
          17.6,
          17.4,
          17.1,
          16.9,
          16.7,
          16.9,
          17.4,
          18.3,
          18.7,
          18.9,
          19,
          19.2,
          19.4,
          19.4,
          19.3,
          19.1,
          19.1,
          19,
          18.8,
          18.7,
          18.5,
          18.3,
          18.2,
          18,
          17.9,
          17.8,
          17.6,
          17.5,
          17.4,
          18,
          18.7,
          18.9,
          18.9,
          18.9,
          19.1,
          19.2,
          19.3,
          19.3,
          19.5,
          19.7,
          19.6,
          19.5,
          19.3,
          19,
          18.8,
          18.7,
          18.5,
          18.4,
          18.3,
          18.2,
          18.1,
          18.1,
          18,
          18,
          18.6,
          19.4,
          20,
          20.5,
          20.7,
          20.8,
          20.9,
          21.1,
          21.4,
          21.5,
          21.4,
          21.3,
          21.1,
          20.9,
          20.8,
          20.6,
          20.5,
          20.3,
          20.1,
          20,
          19.9,
          19.7,
          19.6,
          19.5,
          19.6,
          19.8,
          20.3,
          20.9,
          21.3,
          21.5,
          21.8,
          22,
          22.1,
          22.2,
          21.9,
          21.7,
          21.7,
          21.5,
          21.2,
          21,
          20.7,
          20.5,
          20.3,
          20.2,
          20,
          19.8,
          19.6,
          19.4,
          19.3,
          19.4,
          19.7,
          20.1,
          20.5,
          20.9,
          21.1,
          21.2,
          21.1,
          20.8,
          20.7,
          20.5,
          20.1,
          19.7,
          19.4,
          19.1,
          18.8,
          18.6,
          18.4,
          18.2,
          18,
          17.8,
          17.6,
          18.1,
          18.7,
          18.7,
          18.8,
          19.1,
          19.5,
          19.8,
          19.7,
          19.8,
          19.9,
          19.8,
          19.6,
          19.5,
          19.4,
          19.2,
          18.9,
          18.7,
          18.4,
          18.2,
          18,
          17.9,
          17.7,
          17.6,
          17.4,
          17.6,
          18.5,
          18.8,
          18.9,
          19,
          19.2,
          19.4,
          19.6,
          19.7,
          19.7,
          19.7,
          19.6,
          19.5,
          19.3,
          19.1,
          18.8,
          18.6,
          18.4,
          18.3,
          18,
          17.8,
          17.6,
          17.4,
          17.2,
          17.6,
          18.5,
          18.7,
          18.9,
          19.1,
          19.4,
          19.8,
          20,
          20,
          20,
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          27.5,
          28.2,
          28.3,
          27.9,
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          19,
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          30.3,
          28.6,
          27.8,
          26,
          23.3,
          19.9,
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          25.2,
          25.9,
          26.6,
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          24.9,
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          17.7,
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          19,
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          27.6,
          29,
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          32,
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          32.6,
          32.8,
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          22.6,
          22.2,
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          20.8,
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          28,
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    "df_plot_am = df.query(\"year==2021\").groupby('date')['diff'].mean().reset_index()\n",
    "fig = px.bar(df_plot_am, \n",
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    "                 y=\"diff\", \n",
    "                 title=\"Difference interior exterior temperature at Martin's home\")\n",
    "fig.add_annotation(x=date_installation, y=3,\n",
    "            text=\"Install double glass roof\",\n",
    "            showarrow=True,\n",
    "            arrowhead=0)\n",
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     "text": [
      "pull temperature between 1596672000.0 and 1596810417.135362\n",
      "fetching date 2020-08-06 00:00:00\n",
      "fetching date 2020-08-07 00:00:00\n"
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       "<Figure size 1440x720 with 1 Axes>"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_int_ext('2020-08-06', '2020-08-07')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Gaz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from gaz.gazpar import get_data_per_day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'date': '30-07-2020', 'kwh': 2, 'mcube': 0.23},\n",
       " {'date': '31-07-2020', 'kwh': 0, 'mcube': 0.0},\n",
       " {'date': '01-08-2020', 'kwh': 0, 'mcube': 0.0},\n",
       " {'date': '02-08-2020', 'kwh': 1, 'mcube': 0.13},\n",
       " {'date': '03-08-2020', 'kwh': 0, 'mcube': 0.0},\n",
       " {'date': '04-08-2020', 'kwh': 1, 'mcube': 0.13},\n",
       " {'date': '05-08-2020', 'kwh': 0, 'mcube': 0.0}]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_data_per_day('30-07-2020', '07-08-2020')"
   ]
  }
 ],
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