{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4244c71b-402a-4b3d-a33d-eb8b649a4a33",
   "metadata": {},
   "source": [
    "# HW4 Q3: NYS Mesonet Observations during the 2024 Solar Eclipse"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c79a797-9311-493c-bce5-2db4d52db3d9",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f40615c0-e6c4-43b7-8b82-ce745d6f5553",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from matplotlib.dates import DateFormatter, AutoDateLocator,HourLocator,DayLocator,MonthLocator,MinuteLocator"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5bab093c-e568-4e80-baa2-1cf7248560ec",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-warning\"><b>TASK:</b> Add a code cell that sets the default Seaborn settings for Matplotlib</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1cabff61-078b-4b97-b5e1-3214573ae8b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Write your code here\n",
    "sns.set()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6690f27e-6fc1-4769-82f1-152dea60a6a1",
   "metadata": {},
   "source": [
    "Create a <code>Dataframe</code> from the April 8 2024 NYSM data file. Interpret the <code>time</code> column in `datetime` format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4d77cb39-d3fd-41b6-85a0-37b919b8f895",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('/spare11/atm350/common/hw4/20240408_nysm.csv', parse_dates=['time'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f35e384-1957-44b9-9a31-1260b9791bbb",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-warning\"><b>TASK:</b> Examine the <code>dataframe</code></div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "92e9261e-f11d-492d-9868-4e38ca3293ce",
   "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>station</th>\n",
       "      <th>time</th>\n",
       "      <th>temp_2m [degC]</th>\n",
       "      <th>temp_9m [degC]</th>\n",
       "      <th>relative_humidity [percent]</th>\n",
       "      <th>precip_incremental [mm]</th>\n",
       "      <th>precip_local [mm]</th>\n",
       "      <th>precip_max_intensity [mm/min]</th>\n",
       "      <th>avg_wind_speed_prop [m/s]</th>\n",
       "      <th>max_wind_speed_prop [m/s]</th>\n",
       "      <th>...</th>\n",
       "      <th>soil_temp_05cm [degC]</th>\n",
       "      <th>soil_temp_25cm [degC]</th>\n",
       "      <th>soil_temp_50cm [degC]</th>\n",
       "      <th>soil_moisture_05cm [m^3/m^3]</th>\n",
       "      <th>soil_moisture_25cm [m^3/m^3]</th>\n",
       "      <th>soil_moisture_50cm [m^3/m^3]</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>elevation</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ADDI</td>\n",
       "      <td>2024-04-07 23:00:00+00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.2</td>\n",
       "      <td>27.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.7</td>\n",
       "      <td>5.9</td>\n",
       "      <td>...</td>\n",
       "      <td>7.3</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5.2</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.43</td>\n",
       "      <td>42.04036</td>\n",
       "      <td>-77.23726</td>\n",
       "      <td>507.614</td>\n",
       "      <td>Addison</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ADDI</td>\n",
       "      <td>2024-04-07 23:05:00+00:00</td>\n",
       "      <td>9.7</td>\n",
       "      <td>10.0</td>\n",
       "      <td>28.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>...</td>\n",
       "      <td>7.3</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5.2</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.43</td>\n",
       "      <td>42.04036</td>\n",
       "      <td>-77.23726</td>\n",
       "      <td>507.614</td>\n",
       "      <td>Addison</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ADDI</td>\n",
       "      <td>2024-04-07 23:10:00+00:00</td>\n",
       "      <td>9.3</td>\n",
       "      <td>9.7</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3.3</td>\n",
       "      <td>...</td>\n",
       "      <td>7.3</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5.2</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.43</td>\n",
       "      <td>42.04036</td>\n",
       "      <td>-77.23726</td>\n",
       "      <td>507.614</td>\n",
       "      <td>Addison</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ADDI</td>\n",
       "      <td>2024-04-07 23:15:00+00:00</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.5</td>\n",
       "      <td>29.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>4.7</td>\n",
       "      <td>...</td>\n",
       "      <td>7.3</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5.2</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.43</td>\n",
       "      <td>42.04036</td>\n",
       "      <td>-77.23726</td>\n",
       "      <td>507.614</td>\n",
       "      <td>Addison</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ADDI</td>\n",
       "      <td>2024-04-07 23:20:00+00:00</td>\n",
       "      <td>8.8</td>\n",
       "      <td>9.3</td>\n",
       "      <td>29.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.9</td>\n",
       "      <td>...</td>\n",
       "      <td>7.3</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5.2</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.43</td>\n",
       "      <td>42.04036</td>\n",
       "      <td>-77.23726</td>\n",
       "      <td>507.614</td>\n",
       "      <td>Addison</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37975</th>\n",
       "      <td>YORK</td>\n",
       "      <td>2024-04-08 23:35:00+00:00</td>\n",
       "      <td>14.6</td>\n",
       "      <td>14.8</td>\n",
       "      <td>40.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>...</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.38</td>\n",
       "      <td>42.85504</td>\n",
       "      <td>-77.84776</td>\n",
       "      <td>177.942</td>\n",
       "      <td>York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37976</th>\n",
       "      <td>YORK</td>\n",
       "      <td>2024-04-08 23:40:00+00:00</td>\n",
       "      <td>14.3</td>\n",
       "      <td>14.7</td>\n",
       "      <td>41.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>...</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.38</td>\n",
       "      <td>42.85504</td>\n",
       "      <td>-77.84776</td>\n",
       "      <td>177.942</td>\n",
       "      <td>York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37977</th>\n",
       "      <td>YORK</td>\n",
       "      <td>2024-04-08 23:45:00+00:00</td>\n",
       "      <td>13.1</td>\n",
       "      <td>14.4</td>\n",
       "      <td>45.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.6</td>\n",
       "      <td>...</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.38</td>\n",
       "      <td>42.85504</td>\n",
       "      <td>-77.84776</td>\n",
       "      <td>177.942</td>\n",
       "      <td>York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37978</th>\n",
       "      <td>YORK</td>\n",
       "      <td>2024-04-08 23:50:00+00:00</td>\n",
       "      <td>11.6</td>\n",
       "      <td>14.1</td>\n",
       "      <td>52.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>...</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.38</td>\n",
       "      <td>42.85504</td>\n",
       "      <td>-77.84776</td>\n",
       "      <td>177.942</td>\n",
       "      <td>York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37979</th>\n",
       "      <td>YORK</td>\n",
       "      <td>2024-04-08 23:55:00+00:00</td>\n",
       "      <td>11.1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>52.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>...</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.38</td>\n",
       "      <td>42.85504</td>\n",
       "      <td>-77.84776</td>\n",
       "      <td>177.942</td>\n",
       "      <td>York</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>37980 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      station                      time  temp_2m [degC]  temp_9m [degC]  \\\n",
       "0        ADDI 2024-04-07 23:00:00+00:00            10.0            10.2   \n",
       "1        ADDI 2024-04-07 23:05:00+00:00             9.7            10.0   \n",
       "2        ADDI 2024-04-07 23:10:00+00:00             9.3             9.7   \n",
       "3        ADDI 2024-04-07 23:15:00+00:00             9.0             9.5   \n",
       "4        ADDI 2024-04-07 23:20:00+00:00             8.8             9.3   \n",
       "...       ...                       ...             ...             ...   \n",
       "37975    YORK 2024-04-08 23:35:00+00:00            14.6            14.8   \n",
       "37976    YORK 2024-04-08 23:40:00+00:00            14.3            14.7   \n",
       "37977    YORK 2024-04-08 23:45:00+00:00            13.1            14.4   \n",
       "37978    YORK 2024-04-08 23:50:00+00:00            11.6            14.1   \n",
       "37979    YORK 2024-04-08 23:55:00+00:00            11.1            14.0   \n",
       "\n",
       "       relative_humidity [percent]  precip_incremental [mm]  \\\n",
       "0                             27.8                      0.0   \n",
       "1                             28.5                      0.0   \n",
       "2                             30.0                      0.0   \n",
       "3                             29.8                      0.0   \n",
       "4                             29.7                      0.0   \n",
       "...                            ...                      ...   \n",
       "37975                         40.7                      0.0   \n",
       "37976                         41.4                      0.0   \n",
       "37977                         45.6                      0.0   \n",
       "37978                         52.1                      0.0   \n",
       "37979                         52.7                      0.0   \n",
       "\n",
       "       precip_local [mm]  precip_max_intensity [mm/min]  \\\n",
       "0                    0.0                            0.0   \n",
       "1                    0.0                            0.0   \n",
       "2                    0.0                            0.0   \n",
       "3                    0.0                            0.0   \n",
       "4                    0.0                            0.0   \n",
       "...                  ...                            ...   \n",
       "37975                0.0                            0.0   \n",
       "37976                0.0                            0.0   \n",
       "37977                0.0                            0.0   \n",
       "37978                0.0                            0.0   \n",
       "37979                0.0                            0.0   \n",
       "\n",
       "       avg_wind_speed_prop [m/s]  max_wind_speed_prop [m/s]  ...  \\\n",
       "0                            3.7                        5.9  ...   \n",
       "1                            2.8                        4.8  ...   \n",
       "2                            1.8                        3.3  ...   \n",
       "3                            2.4                        4.7  ...   \n",
       "4                            2.8                        4.9  ...   \n",
       "...                          ...                        ...  ...   \n",
       "37975                        1.6                        2.4  ...   \n",
       "37976                        1.3                        1.7  ...   \n",
       "37977                        1.3                        1.6  ...   \n",
       "37978                        1.1                        1.5  ...   \n",
       "37979                        1.2                        1.4  ...   \n",
       "\n",
       "       soil_temp_05cm [degC]  soil_temp_25cm [degC]  soil_temp_50cm [degC]  \\\n",
       "0                        7.3                    5.4                    5.2   \n",
       "1                        7.3                    5.4                    5.2   \n",
       "2                        7.3                    5.4                    5.2   \n",
       "3                        7.3                    5.4                    5.2   \n",
       "4                        7.3                    5.4                    5.2   \n",
       "...                      ...                    ...                    ...   \n",
       "37975                    7.7                    7.1                    7.0   \n",
       "37976                    7.7                    7.1                    7.0   \n",
       "37977                    7.7                    7.1                    7.0   \n",
       "37978                    7.7                    7.0                    7.0   \n",
       "37979                    7.7                    7.1                    7.0   \n",
       "\n",
       "       soil_moisture_05cm [m^3/m^3]  soil_moisture_25cm [m^3/m^3]  \\\n",
       "0                              0.56                          0.46   \n",
       "1                              0.56                          0.46   \n",
       "2                              0.56                          0.46   \n",
       "3                              0.56                          0.46   \n",
       "4                              0.56                          0.46   \n",
       "...                             ...                           ...   \n",
       "37975                          0.25                          0.29   \n",
       "37976                          0.25                          0.30   \n",
       "37977                          0.25                          0.30   \n",
       "37978                          0.25                          0.29   \n",
       "37979                          0.25                          0.30   \n",
       "\n",
       "       soil_moisture_50cm [m^3/m^3]       lat       lon  elevation     name  \n",
       "0                              0.43  42.04036 -77.23726    507.614  Addison  \n",
       "1                              0.43  42.04036 -77.23726    507.614  Addison  \n",
       "2                              0.43  42.04036 -77.23726    507.614  Addison  \n",
       "3                              0.43  42.04036 -77.23726    507.614  Addison  \n",
       "4                              0.43  42.04036 -77.23726    507.614  Addison  \n",
       "...                             ...       ...       ...        ...      ...  \n",
       "37975                          0.38  42.85504 -77.84776    177.942     York  \n",
       "37976                          0.38  42.85504 -77.84776    177.942     York  \n",
       "37977                          0.38  42.85504 -77.84776    177.942     York  \n",
       "37978                          0.38  42.85504 -77.84776    177.942     York  \n",
       "37979                          0.38  42.85504 -77.84776    177.942     York  \n",
       "\n",
       "[37980 rows x 34 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Write your code here\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e634271f-a877-46ec-b301-cd30e1d850f6",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-warning\"><b>TASK: </b>Select start and end time that covers a 3-hour period that includes the peak of the 4/8/24 eclipse over NYS. Use Pandas' <code>Timestamp</code> function. An example invocation to set the start time to 2000 UTC March 8 1970 would be:<br>\n",
    "<code>timeStart = pd.Timestamp(1970, 3, 8, 14, tz='UTC')</code></div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ffca3eb8-96b7-407b-b7a1-4f5e6abef123",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Write your code here\n",
    "timeStart = pd.Timestamp(2024, 4, 8, 18, tz = 'UTC')\n",
    "timeEnd = pd.Timestamp(2024, 4, 8, 21, tz = 'UTC')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d16c0cb0-c8be-43ec-8ac8-e608a3f85b68",
   "metadata": {},
   "source": [
    "Set a boolean mask that includes the period of interest, then create a new `Dataframe` from that mask."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bdd9b4e2-0f49-4fee-afb3-99149455bfa7",
   "metadata": {},
   "outputs": [],
   "source": [
    "mask = (df['time'] >= timeStart) & (df['time'] <=timeEnd) \n",
    "dfSub = df[mask]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13be1690-d873-4ca6-b158-f46716fd0132",
   "metadata": {},
   "source": [
    "TASK: Examine the subsetted `Dataframe`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "34fc53a4-37d4-447b-9602-7382ed731d29",
   "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>station</th>\n",
       "      <th>time</th>\n",
       "      <th>temp_2m [degC]</th>\n",
       "      <th>temp_9m [degC]</th>\n",
       "      <th>relative_humidity [percent]</th>\n",
       "      <th>precip_incremental [mm]</th>\n",
       "      <th>precip_local [mm]</th>\n",
       "      <th>precip_max_intensity [mm/min]</th>\n",
       "      <th>avg_wind_speed_prop [m/s]</th>\n",
       "      <th>max_wind_speed_prop [m/s]</th>\n",
       "      <th>...</th>\n",
       "      <th>soil_temp_05cm [degC]</th>\n",
       "      <th>soil_temp_25cm [degC]</th>\n",
       "      <th>soil_temp_50cm [degC]</th>\n",
       "      <th>soil_moisture_05cm [m^3/m^3]</th>\n",
       "      <th>soil_moisture_25cm [m^3/m^3]</th>\n",
       "      <th>soil_moisture_50cm [m^3/m^3]</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>elevation</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>ADDI</td>\n",
       "      <td>2024-04-08 18:00:00+00:00</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>39.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.3</td>\n",
       "      <td>...</td>\n",
       "      <td>5.6</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.44</td>\n",
       "      <td>42.04036</td>\n",
       "      <td>-77.23726</td>\n",
       "      <td>507.614</td>\n",
       "      <td>Addison</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>ADDI</td>\n",
       "      <td>2024-04-08 18:05:00+00:00</td>\n",
       "      <td>11.8</td>\n",
       "      <td>11.9</td>\n",
       "      <td>40.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>5.3</td>\n",
       "      <td>...</td>\n",
       "      <td>5.6</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.44</td>\n",
       "      <td>42.04036</td>\n",
       "      <td>-77.23726</td>\n",
       "      <td>507.614</td>\n",
       "      <td>Addison</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>ADDI</td>\n",
       "      <td>2024-04-08 18:10:00+00:00</td>\n",
       "      <td>11.6</td>\n",
       "      <td>11.7</td>\n",
       "      <td>42.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>...</td>\n",
       "      <td>5.7</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.44</td>\n",
       "      <td>42.04036</td>\n",
       "      <td>-77.23726</td>\n",
       "      <td>507.614</td>\n",
       "      <td>Addison</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>ADDI</td>\n",
       "      <td>2024-04-08 18:15:00+00:00</td>\n",
       "      <td>11.7</td>\n",
       "      <td>11.8</td>\n",
       "      <td>40.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.8</td>\n",
       "      <td>5.7</td>\n",
       "      <td>...</td>\n",
       "      <td>5.7</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.44</td>\n",
       "      <td>42.04036</td>\n",
       "      <td>-77.23726</td>\n",
       "      <td>507.614</td>\n",
       "      <td>Addison</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>ADDI</td>\n",
       "      <td>2024-04-08 18:20:00+00:00</td>\n",
       "      <td>11.8</td>\n",
       "      <td>11.9</td>\n",
       "      <td>39.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>6.8</td>\n",
       "      <td>...</td>\n",
       "      <td>5.7</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.44</td>\n",
       "      <td>42.04036</td>\n",
       "      <td>-77.23726</td>\n",
       "      <td>507.614</td>\n",
       "      <td>Addison</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37940</th>\n",
       "      <td>YORK</td>\n",
       "      <td>2024-04-08 20:40:00+00:00</td>\n",
       "      <td>14.3</td>\n",
       "      <td>13.9</td>\n",
       "      <td>45.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.7</td>\n",
       "      <td>...</td>\n",
       "      <td>7.4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.38</td>\n",
       "      <td>42.85504</td>\n",
       "      <td>-77.84776</td>\n",
       "      <td>177.942</td>\n",
       "      <td>York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37941</th>\n",
       "      <td>YORK</td>\n",
       "      <td>2024-04-08 20:45:00+00:00</td>\n",
       "      <td>14.8</td>\n",
       "      <td>14.3</td>\n",
       "      <td>41.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>...</td>\n",
       "      <td>7.4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.38</td>\n",
       "      <td>42.85504</td>\n",
       "      <td>-77.84776</td>\n",
       "      <td>177.942</td>\n",
       "      <td>York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37942</th>\n",
       "      <td>YORK</td>\n",
       "      <td>2024-04-08 20:50:00+00:00</td>\n",
       "      <td>15.1</td>\n",
       "      <td>14.5</td>\n",
       "      <td>39.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.1</td>\n",
       "      <td>...</td>\n",
       "      <td>7.4</td>\n",
       "      <td>6.9</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.38</td>\n",
       "      <td>42.85504</td>\n",
       "      <td>-77.84776</td>\n",
       "      <td>177.942</td>\n",
       "      <td>York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37943</th>\n",
       "      <td>YORK</td>\n",
       "      <td>2024-04-08 20:55:00+00:00</td>\n",
       "      <td>15.5</td>\n",
       "      <td>14.7</td>\n",
       "      <td>39.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.7</td>\n",
       "      <td>...</td>\n",
       "      <td>7.4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.38</td>\n",
       "      <td>42.85504</td>\n",
       "      <td>-77.84776</td>\n",
       "      <td>177.942</td>\n",
       "      <td>York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37944</th>\n",
       "      <td>YORK</td>\n",
       "      <td>2024-04-08 21:00:00+00:00</td>\n",
       "      <td>15.7</td>\n",
       "      <td>14.7</td>\n",
       "      <td>37.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>7.4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.38</td>\n",
       "      <td>42.85504</td>\n",
       "      <td>-77.84776</td>\n",
       "      <td>177.942</td>\n",
       "      <td>York</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4752 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      station                      time  temp_2m [degC]  temp_9m [degC]  \\\n",
       "228      ADDI 2024-04-08 18:00:00+00:00            12.0            12.0   \n",
       "229      ADDI 2024-04-08 18:05:00+00:00            11.8            11.9   \n",
       "230      ADDI 2024-04-08 18:10:00+00:00            11.6            11.7   \n",
       "231      ADDI 2024-04-08 18:15:00+00:00            11.7            11.8   \n",
       "232      ADDI 2024-04-08 18:20:00+00:00            11.8            11.9   \n",
       "...       ...                       ...             ...             ...   \n",
       "37940    YORK 2024-04-08 20:40:00+00:00            14.3            13.9   \n",
       "37941    YORK 2024-04-08 20:45:00+00:00            14.8            14.3   \n",
       "37942    YORK 2024-04-08 20:50:00+00:00            15.1            14.5   \n",
       "37943    YORK 2024-04-08 20:55:00+00:00            15.5            14.7   \n",
       "37944    YORK 2024-04-08 21:00:00+00:00            15.7            14.7   \n",
       "\n",
       "       relative_humidity [percent]  precip_incremental [mm]  \\\n",
       "228                           39.4                      0.0   \n",
       "229                           40.1                      0.0   \n",
       "230                           42.6                      0.0   \n",
       "231                           40.9                      0.0   \n",
       "232                           39.3                      0.0   \n",
       "...                            ...                      ...   \n",
       "37940                         45.5                      0.0   \n",
       "37941                         41.6                      0.0   \n",
       "37942                         39.9                      0.0   \n",
       "37943                         39.7                      0.0   \n",
       "37944                         37.7                      0.0   \n",
       "\n",
       "       precip_local [mm]  precip_max_intensity [mm/min]  \\\n",
       "228                  0.0                            0.0   \n",
       "229                  0.0                            0.0   \n",
       "230                  0.0                            0.0   \n",
       "231                  0.0                            0.0   \n",
       "232                  0.0                            0.0   \n",
       "...                  ...                            ...   \n",
       "37940                0.0                            0.0   \n",
       "37941                0.0                            0.0   \n",
       "37942                0.0                            0.0   \n",
       "37943                0.0                            0.0   \n",
       "37944                0.0                            0.0   \n",
       "\n",
       "       avg_wind_speed_prop [m/s]  max_wind_speed_prop [m/s]  ...  \\\n",
       "228                          3.3                        5.3  ...   \n",
       "229                          3.5                        5.3  ...   \n",
       "230                          4.0                        5.5  ...   \n",
       "231                          3.8                        5.7  ...   \n",
       "232                          4.2                        6.8  ...   \n",
       "...                          ...                        ...  ...   \n",
       "37940                        0.4                        0.7  ...   \n",
       "37941                        0.2                        0.6  ...   \n",
       "37942                        0.8                        1.1  ...   \n",
       "37943                        1.2                        1.7  ...   \n",
       "37944                        1.4                        2.0  ...   \n",
       "\n",
       "       soil_temp_05cm [degC]  soil_temp_25cm [degC]  soil_temp_50cm [degC]  \\\n",
       "228                      5.6                    5.4                    5.4   \n",
       "229                      5.6                    5.4                    5.4   \n",
       "230                      5.7                    5.4                    5.4   \n",
       "231                      5.7                    5.4                    5.4   \n",
       "232                      5.7                    5.4                    5.4   \n",
       "...                      ...                    ...                    ...   \n",
       "37940                    7.4                    7.0                    7.0   \n",
       "37941                    7.4                    7.0                    7.0   \n",
       "37942                    7.4                    6.9                    7.0   \n",
       "37943                    7.4                    7.0                    7.0   \n",
       "37944                    7.4                    7.0                    7.0   \n",
       "\n",
       "       soil_moisture_05cm [m^3/m^3]  soil_moisture_25cm [m^3/m^3]  \\\n",
       "228                            0.56                          0.46   \n",
       "229                            0.56                          0.46   \n",
       "230                            0.56                          0.46   \n",
       "231                            0.56                          0.46   \n",
       "232                            0.56                          0.46   \n",
       "...                             ...                           ...   \n",
       "37940                          0.25                          0.30   \n",
       "37941                          0.25                          0.30   \n",
       "37942                          0.25                          0.29   \n",
       "37943                          0.25                          0.30   \n",
       "37944                          0.25                          0.30   \n",
       "\n",
       "       soil_moisture_50cm [m^3/m^3]       lat       lon  elevation     name  \n",
       "228                            0.44  42.04036 -77.23726    507.614  Addison  \n",
       "229                            0.44  42.04036 -77.23726    507.614  Addison  \n",
       "230                            0.44  42.04036 -77.23726    507.614  Addison  \n",
       "231                            0.44  42.04036 -77.23726    507.614  Addison  \n",
       "232                            0.44  42.04036 -77.23726    507.614  Addison  \n",
       "...                             ...       ...       ...        ...      ...  \n",
       "37940                          0.38  42.85504 -77.84776    177.942     York  \n",
       "37941                          0.38  42.85504 -77.84776    177.942     York  \n",
       "37942                          0.38  42.85504 -77.84776    177.942     York  \n",
       "37943                          0.38  42.85504 -77.84776    177.942     York  \n",
       "37944                          0.38  42.85504 -77.84776    177.942     York  \n",
       "\n",
       "[4752 rows x 34 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfSub"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95b3a69a-4501-4bd8-9b70-03eb4b5d5426",
   "metadata": {},
   "source": [
    "Task: define five NYSM stations from across the state. Ideally, choose sites that vary in terms of time of totality and/or degree of totality."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c4cb61f1-2538-4502-9a42-5f2e289fc27d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Write your code here\n",
    "site1 = \"BRAN\"\n",
    "site2 = \"RUSH\"\n",
    "site3 = \"REDF\"\n",
    "site4 = \"TUPP\"\n",
    "site5 = \"CHAZ\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bba95ed-f790-4be8-ab3b-994fe8adb9d4",
   "metadata": {},
   "source": [
    "TASK: Complete the following code cell in order to produce a well-labeled figure containing two subplots, one on top of the other, containing time series of 2m temperature and incoming solar radiation for the five NYSM sites you have defined above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a7a78427-0f24-4d7a-8744-d22a4452c6fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15,10))\n",
    "ax1 = fig.add_subplot(2,1,1)\n",
    "ax2 = fig.add_subplot(2,1,2, sharex=ax1)\n",
    "\n",
    "for site in [site1, site2, site3, site4, site5]:\n",
    "    \n",
    "    siteData = dfSub.query('station == @site')\n",
    "    dattim = siteData['time']\n",
    "    t2m = siteData['temp_2m [degC]']\n",
    "    srad = siteData['solar_insolation [W/m^2]']\n",
    " \n",
    "    ax1.plot (dattim, t2m, label=site)\n",
    "    ax2.plot (dattim, srad, label=site)\n",
    "\n",
    "ax1.set_title (\"April 8 2024 2 m T (°C)\")\n",
    "ax1.set_xlabel('Time (UTC)')\n",
    "ax1.set_ylabel('Temperature (°C)')\n",
    "ax1.xaxis.set_major_locator(MinuteLocator(interval=15))\n",
    "dateFmt = DateFormatter('%H%M')\n",
    "ax1.xaxis.set_major_formatter(dateFmt)\n",
    "ax1.set_xlim(timeStart, timeEnd)\n",
    "ax1.legend(loc='best')\n",
    "\n",
    "ax2.set_title (\"April 8 2024 Solar Radiation (W/m**2)\")\n",
    "ax2.set_xlabel('Time (UTC)')\n",
    "ax2.set_ylabel('Solar Radiation (W/m**2)')\n",
    "ax2.legend(loc='best')\n",
    "\n",
    "# Add some space between the two subplots\n",
    "plt.subplots_adjust(wspace=0.5, hspace=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "54420bc3-835f-4865-879f-a174fa76d142",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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