{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Accessing Temporal Profiles Corresponding to `reV` Supply Curve Outputs\n",
    "\n",
    "One major advantage of reV supply curve outputs is that they come with temporal capactity factor profiles that can be used for downstream analysis.\n",
    "In this quick guide, we will demonstrate how to take a supply curve CSV and extract the corresponing temporal profiles form the accompanying HDF5 file.\n",
    "\n",
    "We will demonstrate how to do this using two methods: Using the custom `rex` library (recommended) or the `h5py` library.\n",
    "\n",
    "Let's start with a few common imports:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Using [`rex`](https://github.com/NREL/rex/) (recommended)\n",
    "\n",
    "We recommend using the `rex` (https://github.com/NREL/rex/) library to read temporal profiles. This library was used to write the reV data to file and makes interfacing with these HDF5 file seamless. \n",
    "\n",
    "Let's begin by reading in the supply curve CSV using `pandas`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sc_gid</th>\n",
       "      <th>res_gids</th>\n",
       "      <th>gen_gids</th>\n",
       "      <th>gid_counts</th>\n",
       "      <th>n_gids</th>\n",
       "      <th>mean_cf</th>\n",
       "      <th>mean_lcoe</th>\n",
       "      <th>mean_res</th>\n",
       "      <th>capacity</th>\n",
       "      <th>area_sq_km</th>\n",
       "      <th>...</th>\n",
       "      <th>dist_km</th>\n",
       "      <th>trans_cap_cost_per_mw</th>\n",
       "      <th>ba_str</th>\n",
       "      <th>poi_lat</th>\n",
       "      <th>poi_lon</th>\n",
       "      <th>reinforcement_poi_lat</th>\n",
       "      <th>reinforcement_poi_lon</th>\n",
       "      <th>reinforcement_cost_per_mw</th>\n",
       "      <th>reinforcement_dist_km</th>\n",
       "      <th>n_parallel_trans</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>[489.2, 376.84, 18.48, 55.359997, 12.28]</td>\n",
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       "      <td>0.148431</td>\n",
       "      <td>59.853846</td>\n",
       "      <td>3.378569</td>\n",
       "      <td>331.637319</td>\n",
       "      <td>7.712496</td>\n",
       "      <td>...</td>\n",
       "      <td>0.996396</td>\n",
       "      <td>2.478331e+04</td>\n",
       "      <td>p1</td>\n",
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       "      <td>-122.724308</td>\n",
       "      <td>47.572075</td>\n",
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       "      <td>[133613, 134181, 134751, 135326, 135902, 136479]</td>\n",
       "      <td>[8811, 9071, 9332, 9590, 9847, 10110]</td>\n",
       "      <td>[4.8799996, 245.76001, 207.07999, 70.68, 2.37,...</td>\n",
       "      <td>811</td>\n",
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       "      <td>60.695306</td>\n",
       "      <td>3.322941</td>\n",
       "      <td>185.340881</td>\n",
       "      <td>4.310253</td>\n",
       "      <td>...</td>\n",
       "      <td>13.957494</td>\n",
       "      <td>1.058802e+05</td>\n",
       "      <td>p1</td>\n",
       "      <td>49.000399</td>\n",
       "      <td>-122.720559</td>\n",
       "      <td>47.572075</td>\n",
       "      <td>-122.34181</td>\n",
       "      <td>813267.157762</td>\n",
       "      <td>229.381156</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>[131931]</td>\n",
       "      <td>[8044]</td>\n",
       "      <td>[64.799995]</td>\n",
       "      <td>115</td>\n",
       "      <td>0.152294</td>\n",
       "      <td>58.353135</td>\n",
       "      <td>3.465000</td>\n",
       "      <td>22.569838</td>\n",
       "      <td>0.524880</td>\n",
       "      <td>...</td>\n",
       "      <td>7.467351</td>\n",
       "      <td>2.163971e+06</td>\n",
       "      <td>p1</td>\n",
       "      <td>48.886117</td>\n",
       "      <td>-122.750901</td>\n",
       "      <td>47.572075</td>\n",
       "      <td>-122.34181</td>\n",
       "      <td>806946.654393</td>\n",
       "      <td>216.319915</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>[8299, 8553, 8552, 8811, 9071, 8812, 9072, 830...</td>\n",
       "      <td>[146.36, 352.08002, 7.36, 40.16, 20.0, 477.68,...</td>\n",
       "      <td>4737</td>\n",
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       "      <td>58.716111</td>\n",
       "      <td>3.435809</td>\n",
       "      <td>847.082947</td>\n",
       "      <td>19.699603</td>\n",
       "      <td>...</td>\n",
       "      <td>138.027487</td>\n",
       "      <td>5.601646e+05</td>\n",
       "      <td>p1</td>\n",
       "      <td>47.932416</td>\n",
       "      <td>-122.127435</td>\n",
       "      <td>47.572075</td>\n",
       "      <td>-122.34181</td>\n",
       "      <td>155465.852169</td>\n",
       "      <td>54.229805</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>[134181, 134751, 135326, 135902, 134182, 13647...</td>\n",
       "      <td>[9071, 9332, 9590, 9847, 9072, 10110, 9333, 95...</td>\n",
       "      <td>[21.480001, 34.159996, 27.0, 56.36, 36.98, 18....</td>\n",
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       "      <td>722181.354190</td>\n",
       "      <td>188.072065</td>\n",
       "      <td>1</td>\n",
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      "text/plain": [
       "   sc_gid                                           res_gids  \\\n",
       "0       0           [133046, 133613, 134181, 132488, 133047]   \n",
       "1       1   [133613, 134181, 134751, 135326, 135902, 136479]   \n",
       "2       2                                           [131931]   \n",
       "3       3  [132488, 133047, 133046, 133613, 134181, 13361...   \n",
       "4       4  [134181, 134751, 135326, 135902, 134182, 13647...   \n",
       "\n",
       "                                            gen_gids  \\\n",
       "0                     [8552, 8811, 9071, 8299, 8553]   \n",
       "1              [8811, 9071, 9332, 9590, 9847, 10110]   \n",
       "2                                             [8044]   \n",
       "3  [8299, 8553, 8552, 8811, 9071, 8812, 9072, 830...   \n",
       "4  [9071, 9332, 9590, 9847, 9072, 10110, 9333, 95...   \n",
       "\n",
       "                                          gid_counts  n_gids   mean_cf  \\\n",
       "0           [489.2, 376.84, 18.48, 55.359997, 12.28]    1739  0.148431   \n",
       "1  [4.8799996, 245.76001, 207.07999, 70.68, 2.37,...     811  0.146025   \n",
       "2                                        [64.799995]     115  0.152294   \n",
       "3  [146.36, 352.08002, 7.36, 40.16, 20.0, 477.68,...    4737  0.151318   \n",
       "4  [21.480001, 34.159996, 27.0, 56.36, 36.98, 18....    1776  0.147221   \n",
       "\n",
       "   mean_lcoe  mean_res    capacity  area_sq_km  ...     dist_km  \\\n",
       "0  59.853846  3.378569  331.637319    7.712496  ...    0.996396   \n",
       "1  60.695306  3.322941  185.340881    4.310253  ...   13.957494   \n",
       "2  58.353135  3.465000   22.569838    0.524880  ...    7.467351   \n",
       "3  58.716111  3.435809  847.082947   19.699603  ...  138.027487   \n",
       "4  60.224078  3.355201  280.270041    6.517908  ...   18.529403   \n",
       "\n",
       "   trans_cap_cost_per_mw ba_str    poi_lat     poi_lon  reinforcement_poi_lat  \\\n",
       "0           2.478331e+04     p1  48.999761 -122.724308              47.572075   \n",
       "1           1.058802e+05     p1  49.000399 -122.720559              47.572075   \n",
       "2           2.163971e+06     p1  48.886117 -122.750901              47.572075   \n",
       "3           5.601646e+05     p1  47.932416 -122.127435              47.572075   \n",
       "4           1.270589e+05     p1  48.797763 -122.422834              47.572075   \n",
       "\n",
       "   reinforcement_poi_lon  reinforcement_cost_per_mw  reinforcement_dist_km  \\\n",
       "0             -122.34181              813613.051309             229.418435   \n",
       "1             -122.34181              813267.157762             229.381156   \n",
       "2             -122.34181              806946.654393             216.319915   \n",
       "3             -122.34181              155465.852169              54.229805   \n",
       "4             -122.34181              722181.354190             188.072065   \n",
       "\n",
       "   n_parallel_trans  \n",
       "0                 2  \n",
       "1                 1  \n",
       "2                 1  \n",
       "3                 2  \n",
       "4                 1  \n",
       "\n",
       "[5 rows x 65 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reference_solar_supply_curve = pd.read_csv(\"solar_reference_supply-curve.csv\")\n",
    "reference_solar_supply_curve.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see, every row of the supply curve has a unique `sc_gid` value. This is what we will use to link with the temporal profiles. Let's begin by reading in the metadata from the rep-profiles HDF5 file using the `Resource` class in `rex`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'meta': (57632,), 'rep_profiles_0': (8760, 57632), 'time_index': (8760,)}\n",
      "Supply curve length: 57632\n"
     ]
    }
   ],
   "source": [
    "from rex import Resource\n",
    "\n",
    "with Resource(\"reference_ac_rep-profiles_2021.h5\") as res:\n",
    "    print(res.shapes)\n",
    "\n",
    "print(\"Supply curve length:\", len(reference_solar_supply_curve))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see, the HDF5 file contains the profiles in the \"rep_profiles_0\" dataset. Also, the length of the supply curve matches the spatial shape (second index) of the temporal profiles. This makes it easy to extract the profile for the point of interest: simply find the `sc_gid` of the supply curve point you are interested in and extract the profile using `sc_gid` as the index. \n",
    "\n",
    "\n",
    "### Extracting info by SC point GID\n",
    "\n",
    "If you already know what sc point gid(s) you want to examine, extraction is straightforward:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8760, 1)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Determine what gid to examine using the \"reference_solar_supply_curve\"\n",
    "sc_point_gid_of_interest = 34256\n",
    "ind = reference_solar_supply_curve[\n",
    "    reference_solar_supply_curve[\"sc_point_gid\"] == sc_point_gid_of_interest\n",
    "][\"sc_gid\"]\n",
    "\n",
    "with Resource(\"reference_ac_rep-profiles_2021.h5\") as res:\n",
    "    profile = res[\"rep_profiles_0\", :, ind]\n",
    "    ti = res.time_index\n",
    "\n",
    "profile.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(ti[:100], profile[:100])\n",
    "plt.title(f\"CF Profile for SC Point GID: {sc_point_gid_of_interest:,}\")\n",
    "plt.ylabel(\"Capacity factor (AC)\")\n",
    "plt.xlabel(\"Time index (hours)\")\n",
    "plt.xticks(rotation=45, ha=\"right\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also extract multiple profiles at the same time:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8760, 3)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sc_point_gids_of_interest = [34256, 23446, 8765]\n",
    "points = reference_solar_supply_curve[\n",
    "    reference_solar_supply_curve[\"sc_point_gid\"].isin(\n",
    "        sc_point_gids_of_interest\n",
    "    )\n",
    "]\n",
    "inds = points[\"sc_gid\"]\n",
    "\n",
    "with Resource(\"reference_ac_rep-profiles_2021.h5\") as res:\n",
    "    profiles = res[\"rep_profiles_0\", :, inds]\n",
    "    ti = res.time_index\n",
    "\n",
    "profiles.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(ti[:100], profiles[:100], label=points[\"sc_point_gid\"])\n",
    "plt.title(f\"CF Profiles\")\n",
    "plt.ylabel(\"Capacity factor (AC)\")\n",
    "plt.xlabel(\"Time index (hours)\")\n",
    "plt.xticks(rotation=45, ha=\"right\")\n",
    "plt.legend(loc=\"upper left\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Extracting info by Lat/Lon\n",
    "\n",
    "Often you have a location you'd like to examine in particular. You know the lat/lon but don't know which SC point GID they belong to. In this case, you can use `rex.ResourceX` to look up the `sc_gid`!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from rex import ResourceX\n",
    "\n",
    "with ResourceX(\"reference_ac_rep-profiles_2021.h5\") as res:\n",
    "    sc_gid = res.lat_lon_gid((48.346832, -124.6527))\n",
    "\n",
    "sc_gid"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can then extract the supply curve information:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>sc_gid</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>capacity</th>\n",
       "      <th>area_sq_km</th>\n",
       "      <th>mean_cf</th>\n",
       "      <th>lcot</th>\n",
       "      <th>total_lcoe</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>48.347</td>\n",
       "      <td>-124.653</td>\n",
       "      <td>346.15446</td>\n",
       "      <td>8.050104</td>\n",
       "      <td>0.139066</td>\n",
       "      <td>80.338917</td>\n",
       "      <td>144.342298</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    sc_gid  latitude  longitude   capacity  area_sq_km   mean_cf       lcot  \\\n",
       "16      16    48.347   -124.653  346.15446    8.050104  0.139066  80.338917   \n",
       "\n",
       "    total_lcoe  \n",
       "16  144.342298  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "point = reference_solar_supply_curve[\n",
    "    reference_solar_supply_curve[\"sc_gid\"] == sc_gid\n",
    "]\n",
    "point[[\n",
    "    \"sc_gid\", \"latitude\", \"longitude\", \"capacity\", \"area_sq_km\", \"mean_cf\",\n",
    "    \"lcot\", \"total_lcoe\"\n",
    "]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and the profile information just like before!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8760,)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with Resource(\"reference_ac_rep-profiles_2021.h5\") as res:\n",
    "    profile = res[\"rep_profiles_0\", :, sc_gid]\n",
    "    ti = res.time_index\n",
    "\n",
    "profile.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(ti[:100], profile[:100])\n",
    "plt.title(f\"CF Profile for SC Point GID: {point['sc_point_gid'].iloc[0]:,}\")\n",
    "plt.ylabel(\"Capacity factor (AC)\")\n",
    "plt.xlabel(\"Time index (hours)\")\n",
    "plt.xticks(rotation=45, ha=\"right\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Using `h5py`\n",
    "\n",
    "You can also use the standard `h5py` library to read the temporal profiles.\n",
    "The access pattern remains largely the same, except that you have to perform more processing as you load in the data.\n",
    "\n",
    "Let's begin the example once agin by reading in the supply curve CSV using `pandas`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>sc_gid</th>\n",
       "      <th>gid</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>country</th>\n",
       "      <th>state</th>\n",
       "      <th>county</th>\n",
       "      <th>elevation_m</th>\n",
       "      <th>timezone</th>\n",
       "      <th>sc_point_gid</th>\n",
       "      <th>...</th>\n",
       "      <th>cost_poi_usd_per_mw</th>\n",
       "      <th>cost_export_usd_per_mw</th>\n",
       "      <th>cost_reinforcement_usd_per_mw</th>\n",
       "      <th>cost_total_trans_usd_per_mw</th>\n",
       "      <th>lcot_usd_per_mwh</th>\n",
       "      <th>lcoe_all_in_usd_per_mwh</th>\n",
       "      <th>latitude_poi</th>\n",
       "      <th>longitude_poi</th>\n",
       "      <th>latitude_reinforcement_poi</th>\n",
       "      <th>longitude_reinforcement_poi</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>799</td>\n",
       "      <td>48.981266</td>\n",
       "      <td>-122.20848</td>\n",
       "      <td>United States</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Whatcom</td>\n",
       "      <td>325.66666</td>\n",
       "      <td>-8</td>\n",
       "      <td>799</td>\n",
       "      <td>...</td>\n",
       "      <td>15000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.513619e+05</td>\n",
       "      <td>755896.06</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.572075</td>\n",
       "      <td>-122.341812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>1180</td>\n",
       "      <td>48.913666</td>\n",
       "      <td>-122.00313</td>\n",
       "      <td>United States</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Whatcom</td>\n",
       "      <td>389.00000</td>\n",
       "      <td>-8</td>\n",
       "      <td>1180</td>\n",
       "      <td>...</td>\n",
       "      <td>15000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.611138e+05</td>\n",
       "      <td>854202.40</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.572075</td>\n",
       "      <td>-122.341812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>1543</td>\n",
       "      <td>48.346832</td>\n",
       "      <td>-124.65270</td>\n",
       "      <td>United States</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Clallam</td>\n",
       "      <td>172.68000</td>\n",
       "      <td>-8</td>\n",
       "      <td>1543</td>\n",
       "      <td>...</td>\n",
       "      <td>15000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.474337e+06</td>\n",
       "      <td>1811140.60</td>\n",
       "      <td>33.76155</td>\n",
       "      <td>66.617615</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.572075</td>\n",
       "      <td>-122.341812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8</td>\n",
       "      <td>1566</td>\n",
       "      <td>48.975403</td>\n",
       "      <td>-120.99652</td>\n",
       "      <td>United States</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Whatcom</td>\n",
       "      <td>1258.00000</td>\n",
       "      <td>-8</td>\n",
       "      <td>1566</td>\n",
       "      <td>...</td>\n",
       "      <td>15000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.010125e+05</td>\n",
       "      <td>1167160.20</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.572075</td>\n",
       "      <td>-122.341812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9</td>\n",
       "      <td>1567</td>\n",
       "      <td>49.000840</td>\n",
       "      <td>-120.83574</td>\n",
       "      <td>United States</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Whatcom</td>\n",
       "      <td>1705.00000</td>\n",
       "      <td>-8</td>\n",
       "      <td>1567</td>\n",
       "      <td>...</td>\n",
       "      <td>15000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.010125e+05</td>\n",
       "      <td>1350633.10</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.572075</td>\n",
       "      <td>-122.341812</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 113 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   sc_gid   gid   latitude  longitude        country       state   county  \\\n",
       "0       1   799  48.981266 -122.20848  United States  Washington  Whatcom   \n",
       "1       4  1180  48.913666 -122.00313  United States  Washington  Whatcom   \n",
       "2       6  1543  48.346832 -124.65270  United States  Washington  Clallam   \n",
       "3       8  1566  48.975403 -120.99652  United States  Washington  Whatcom   \n",
       "4       9  1567  49.000840 -120.83574  United States  Washington  Whatcom   \n",
       "\n",
       "   elevation_m  timezone  sc_point_gid  ...  cost_poi_usd_per_mw  \\\n",
       "0    325.66666        -8           799  ...                15000   \n",
       "1    389.00000        -8          1180  ...                15000   \n",
       "2    172.68000        -8          1543  ...                15000   \n",
       "3   1258.00000        -8          1566  ...                15000   \n",
       "4   1705.00000        -8          1567  ...                15000   \n",
       "\n",
       "   cost_export_usd_per_mw cost_reinforcement_usd_per_mw  \\\n",
       "0                     NaN                  6.513619e+05   \n",
       "1                     NaN                  6.611138e+05   \n",
       "2                     NaN                  1.474337e+06   \n",
       "3                     NaN                  8.010125e+05   \n",
       "4                     NaN                  8.010125e+05   \n",
       "\n",
       "  cost_total_trans_usd_per_mw  lcot_usd_per_mwh  lcoe_all_in_usd_per_mwh  \\\n",
       "0                   755896.06               inf                      inf   \n",
       "1                   854202.40               inf                      inf   \n",
       "2                  1811140.60          33.76155                66.617615   \n",
       "3                  1167160.20               inf                      inf   \n",
       "4                  1350633.10               inf                      inf   \n",
       "\n",
       "   latitude_poi longitude_poi latitude_reinforcement_poi  \\\n",
       "0           NaN           NaN                  47.572075   \n",
       "1           NaN           NaN                  47.572075   \n",
       "2           NaN           NaN                  47.572075   \n",
       "3           NaN           NaN                  47.572075   \n",
       "4           NaN           NaN                  47.572075   \n",
       "\n",
       "  longitude_reinforcement_poi  \n",
       "0                 -122.341812  \n",
       "1                 -122.341812  \n",
       "2                 -122.341812  \n",
       "3                 -122.341812  \n",
       "4                 -122.341812  \n",
       "\n",
       "[5 rows x 113 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reference_wind_supply_curve = pd.read_csv(\"wind_reference_supply-curve.csv\")\n",
    "reference_wind_supply_curve.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Extracting info by SC point GID\n",
    "\n",
    "As before, extraction is fairly straightforward if we know the `sc_point_gid` we are interested in:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>sc_gid</th>\n",
       "      <th>gid</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>country</th>\n",
       "      <th>state</th>\n",
       "      <th>county</th>\n",
       "      <th>elevation_m</th>\n",
       "      <th>timezone</th>\n",
       "      <th>sc_point_gid</th>\n",
       "      <th>...</th>\n",
       "      <th>cost_poi_usd_per_mw</th>\n",
       "      <th>cost_export_usd_per_mw</th>\n",
       "      <th>cost_reinforcement_usd_per_mw</th>\n",
       "      <th>cost_total_trans_usd_per_mw</th>\n",
       "      <th>lcot_usd_per_mwh</th>\n",
       "      <th>lcoe_all_in_usd_per_mwh</th>\n",
       "      <th>latitude_poi</th>\n",
       "      <th>longitude_poi</th>\n",
       "      <th>latitude_reinforcement_poi</th>\n",
       "      <th>longitude_reinforcement_poi</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>1543</td>\n",
       "      <td>48.346832</td>\n",
       "      <td>-124.6527</td>\n",
       "      <td>United States</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Clallam</td>\n",
       "      <td>172.68</td>\n",
       "      <td>-8</td>\n",
       "      <td>1543</td>\n",
       "      <td>...</td>\n",
       "      <td>15000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.474337e+06</td>\n",
       "      <td>1811140.6</td>\n",
       "      <td>33.76155</td>\n",
       "      <td>66.617615</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.572075</td>\n",
       "      <td>-122.341812</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 113 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   sc_gid   gid   latitude  longitude        country       state   county  \\\n",
       "2       6  1543  48.346832  -124.6527  United States  Washington  Clallam   \n",
       "\n",
       "   elevation_m  timezone  sc_point_gid  ...  cost_poi_usd_per_mw  \\\n",
       "2       172.68        -8          1543  ...                15000   \n",
       "\n",
       "   cost_export_usd_per_mw cost_reinforcement_usd_per_mw  \\\n",
       "2                     NaN                  1.474337e+06   \n",
       "\n",
       "  cost_total_trans_usd_per_mw  lcot_usd_per_mwh  lcoe_all_in_usd_per_mwh  \\\n",
       "2                   1811140.6          33.76155                66.617615   \n",
       "\n",
       "   latitude_poi longitude_poi latitude_reinforcement_poi  \\\n",
       "2           NaN           NaN                  47.572075   \n",
       "\n",
       "  longitude_reinforcement_poi  \n",
       "2                 -122.341812  \n",
       "\n",
       "[1 rows x 113 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reference_wind_supply_curve[\n",
    "    reference_wind_supply_curve[\"sc_point_gid\"] == 1543\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When we go to read the HDF5 file, we first have to look through all the datasets and shapes contained within:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "annual_energy-2007: (52965,)\n",
      "annual_energy-2008: (52965,)\n",
      "annual_energy-2009: (52965,)\n",
      "annual_energy-2010: (52965,)\n",
      "annual_energy-2011: (52965,)\n",
      "annual_energy-2012: (52965,)\n",
      "annual_energy-2013: (52965,)\n",
      "annual_energy-means: (52965,)\n",
      "annual_gross_energy-2007: (52965,)\n",
      "annual_gross_energy-2008: (52965,)\n",
      "annual_gross_energy-2009: (52965,)\n",
      "annual_gross_energy-2010: (52965,)\n",
      "annual_gross_energy-2011: (52965,)\n",
      "annual_gross_energy-2012: (52965,)\n",
      "annual_gross_energy-2013: (52965,)\n",
      "annual_gross_energy-means: (52965,)\n",
      "annual_wake_loss_internal_kWh-2007: (52965,)\n",
      "annual_wake_loss_internal_kWh-2008: (52965,)\n",
      "annual_wake_loss_internal_kWh-2009: (52965,)\n",
      "annual_wake_loss_internal_kWh-2010: (52965,)\n",
      "annual_wake_loss_internal_kWh-2011: (52965,)\n",
      "annual_wake_loss_internal_kWh-2012: (52965,)\n",
      "annual_wake_loss_internal_kWh-2013: (52965,)\n",
      "annual_wake_loss_internal_kWh-means: (52965,)\n",
      "annual_wake_loss_internal_percent-2007: (52965,)\n",
      "annual_wake_loss_internal_percent-2008: (52965,)\n",
      "annual_wake_loss_internal_percent-2009: (52965,)\n",
      "annual_wake_loss_internal_percent-2010: (52965,)\n",
      "annual_wake_loss_internal_percent-2011: (52965,)\n",
      "annual_wake_loss_internal_percent-2012: (52965,)\n",
      "annual_wake_loss_internal_percent-2013: (52965,)\n",
      "annual_wake_loss_internal_percent-means: (52965,)\n",
      "annual_wake_loss_total_percent-2007: (52965,)\n",
      "annual_wake_loss_total_percent-2008: (52965,)\n",
      "annual_wake_loss_total_percent-2009: (52965,)\n",
      "annual_wake_loss_total_percent-2010: (52965,)\n",
      "annual_wake_loss_total_percent-2011: (52965,)\n",
      "annual_wake_loss_total_percent-2012: (52965,)\n",
      "annual_wake_loss_total_percent-2013: (52965,)\n",
      "annual_wake_loss_total_percent-means: (52965,)\n",
      "capital_cost-2007: (52965,)\n",
      "capital_cost-2008: (52965,)\n",
      "capital_cost-2009: (52965,)\n",
      "capital_cost-2010: (52965,)\n",
      "capital_cost-2011: (52965,)\n",
      "capital_cost-2012: (52965,)\n",
      "capital_cost-2013: (52965,)\n",
      "capital_cost-means: (52965,)\n",
      "cf_mean-2007: (52965,)\n",
      "cf_mean-2008: (52965,)\n",
      "cf_mean-2009: (52965,)\n",
      "cf_mean-2010: (52965,)\n",
      "cf_mean-2011: (52965,)\n",
      "cf_mean-2012: (52965,)\n",
      "cf_mean-2013: (52965,)\n",
      "cf_mean-means: (52965,)\n",
      "cf_profile-2007: (8760, 52965)\n",
      "cf_profile-2008: (8760, 52965)\n",
      "cf_profile-2009: (8760, 52965)\n",
      "cf_profile-2010: (8760, 52965)\n",
      "cf_profile-2011: (8760, 52965)\n",
      "cf_profile-2012: (8760, 52965)\n",
      "cf_profile-2013: (8760, 52965)\n",
      "fixed_charge_rate-2007: (52965,)\n",
      "fixed_charge_rate-2008: (52965,)\n",
      "fixed_charge_rate-2009: (52965,)\n",
      "fixed_charge_rate-2010: (52965,)\n",
      "fixed_charge_rate-2011: (52965,)\n",
      "fixed_charge_rate-2012: (52965,)\n",
      "fixed_charge_rate-2013: (52965,)\n",
      "fixed_charge_rate-means: (52965,)\n",
      "fixed_operating_cost-2007: (52965,)\n",
      "fixed_operating_cost-2008: (52965,)\n",
      "fixed_operating_cost-2009: (52965,)\n",
      "fixed_operating_cost-2010: (52965,)\n",
      "fixed_operating_cost-2011: (52965,)\n",
      "fixed_operating_cost-2012: (52965,)\n",
      "fixed_operating_cost-2013: (52965,)\n",
      "fixed_operating_cost-means: (52965,)\n",
      "lcoe_fcr-2007: (52965,)\n",
      "lcoe_fcr-2008: (52965,)\n",
      "lcoe_fcr-2009: (52965,)\n",
      "lcoe_fcr-2010: (52965,)\n",
      "lcoe_fcr-2011: (52965,)\n",
      "lcoe_fcr-2012: (52965,)\n",
      "lcoe_fcr-2013: (52965,)\n",
      "lcoe_fcr-means: (52965,)\n",
      "meta: (52965,)\n",
      "system_capacity: (52965,)\n",
      "system_capacity-2007: (52965,)\n",
      "system_capacity-2008: (52965,)\n",
      "system_capacity-2009: (52965,)\n",
      "system_capacity-2010: (52965,)\n",
      "system_capacity-2011: (52965,)\n",
      "system_capacity-2012: (52965,)\n",
      "system_capacity-2013: (52965,)\n",
      "system_capacity-means: (52965,)\n",
      "time_index: (8760,)\n",
      "time_index-2007: (8760,)\n",
      "time_index-2008: (8760,)\n",
      "time_index-2009: (8760,)\n",
      "time_index-2010: (8760,)\n",
      "time_index-2011: (8760,)\n",
      "time_index-2012: (8760,)\n",
      "time_index-2013: (8760,)\n",
      "variable_operating_cost-2007: (52965,)\n",
      "variable_operating_cost-2008: (52965,)\n",
      "variable_operating_cost-2009: (52965,)\n",
      "variable_operating_cost-2010: (52965,)\n",
      "variable_operating_cost-2011: (52965,)\n",
      "variable_operating_cost-2012: (52965,)\n",
      "variable_operating_cost-2013: (52965,)\n",
      "variable_operating_cost-means: (52965,)\n",
      "wake_loss_internal_kW-2007: (8760, 52965)\n",
      "wake_loss_internal_kW-2008: (8760, 52965)\n",
      "wake_loss_internal_kW-2009: (8760, 52965)\n",
      "wake_loss_internal_kW-2010: (8760, 52965)\n",
      "wake_loss_internal_kW-2011: (8760, 52965)\n",
      "wake_loss_internal_kW-2012: (8760, 52965)\n",
      "wake_loss_internal_kW-2013: (8760, 52965)\n",
      "wake_loss_internal_percent-2007: (8760, 52965)\n",
      "wake_loss_internal_percent-2008: (8760, 52965)\n",
      "wake_loss_internal_percent-2009: (8760, 52965)\n",
      "wake_loss_internal_percent-2010: (8760, 52965)\n",
      "wake_loss_internal_percent-2011: (8760, 52965)\n",
      "wake_loss_internal_percent-2012: (8760, 52965)\n",
      "wake_loss_internal_percent-2013: (8760, 52965)\n",
      "winddirection-2007: (8760, 52965)\n",
      "winddirection-2008: (8760, 52965)\n",
      "winddirection-2009: (8760, 52965)\n",
      "winddirection-2010: (8760, 52965)\n",
      "winddirection-2011: (8760, 52965)\n",
      "winddirection-2012: (8760, 52965)\n",
      "winddirection-2013: (8760, 52965)\n",
      "ws_mean: (52965,)\n"
     ]
    }
   ],
   "source": [
    "import h5py\n",
    "\n",
    "with h5py.File(\"wind_reference_bespoke.h5\", \"r\") as fh:\n",
    "    for dset in fh.keys():\n",
    "        print(f\"{dset}: {fh[dset].shape}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The wind bespoke output files have a lot more datasets than standard reV files. Still, we see that the datasets of interest for us are \"cf_profile-\\<year\\>\". \n",
    "Let's extract the correct one now, along with the time index. Note the extra steps we have to take to scale the profiles appropriately and get the time index converted into a `pandas.DateTimeIndex`.\n",
    "The custom `rex` library perfoms all of this processing under the hood and therefore drastically reduces the complexity of I/O."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8760, 1)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ind = reference_wind_supply_curve[\n",
    "    reference_wind_supply_curve[\"sc_point_gid\"] == 1543\n",
    "][\"sc_gid\"]\n",
    "\n",
    "with h5py.File(\"wind_reference_bespoke.h5\", \"r\") as fh:\n",
    "    profile_scale_factor = fh[\"cf_profile-2013\"].attrs[\"scale_factor\"]\n",
    "    profile = fh[\"cf_profile-2013\"][:, ind] / profile_scale_factor\n",
    "    ti = pd.to_datetime(fh[\"time_index\"][:].astype(str))\n",
    "\n",
    "profile.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(ti[:100], profile[:100])\n",
    "plt.title(f\"CF Profile for SC Point GID: 1,543\")\n",
    "plt.ylabel(\"Capacity factor (AC)\")\n",
    "plt.xlabel(\"Time index (hours)\")\n",
    "plt.xticks(rotation=45, ha=\"right\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Reading in multiple profiles at once can be done as well:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8760, 3)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sc_point_gids_of_interest = [1543, 34357, 23399]\n",
    "points = reference_wind_supply_curve[\n",
    "    reference_wind_supply_curve[\"sc_point_gid\"].isin(sc_point_gids_of_interest)\n",
    "]\n",
    "inds = points[\"sc_gid\"]\n",
    "\n",
    "with h5py.File(\"wind_reference_bespoke.h5\", \"r\") as fh:\n",
    "    profile_scale_factor = fh[\"cf_profile-2013\"].attrs[\"scale_factor\"]\n",
    "    profiles = fh[\"cf_profile-2013\"][:, inds] / profile_scale_factor\n",
    "    ti = pd.to_datetime(fh[\"time_index\"][:].astype(str))\n",
    "\n",
    "profiles.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(ti[:100], profiles[:100], label=points[\"sc_point_gid\"])\n",
    "plt.title(f\"CF Profiles\")\n",
    "plt.ylabel(\"Capacity factor (AC)\")\n",
    "plt.xlabel(\"Time index (hours)\")\n",
    "plt.xticks(rotation=45, ha=\"right\")\n",
    "plt.legend(loc=\"upper left\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Extracting info by Lat/Lon\n",
    "\n",
    "Extracting info for a particular lat/lon is trickier without `rex`, but still doable. You have a few options - the simplest is to do a supply curve sort by a distance to your desired lat/lon (this is what we show below). A more sophisticated but likely more accurate approach is to use a [`cKDtree`](https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.cKDTree.html) to look up the closest lat/lon pair to the point in question. This approach is not covered in this notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>sc_gid</th>\n",
       "      <th>gid</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>country</th>\n",
       "      <th>state</th>\n",
       "      <th>county</th>\n",
       "      <th>elevation_m</th>\n",
       "      <th>timezone</th>\n",
       "      <th>sc_point_gid</th>\n",
       "      <th>...</th>\n",
       "      <th>cost_export_usd_per_mw</th>\n",
       "      <th>cost_reinforcement_usd_per_mw</th>\n",
       "      <th>cost_total_trans_usd_per_mw</th>\n",
       "      <th>lcot_usd_per_mwh</th>\n",
       "      <th>lcoe_all_in_usd_per_mwh</th>\n",
       "      <th>latitude_poi</th>\n",
       "      <th>longitude_poi</th>\n",
       "      <th>latitude_reinforcement_poi</th>\n",
       "      <th>longitude_reinforcement_poi</th>\n",
       "      <th>dist_to_my_point</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>1543</td>\n",
       "      <td>48.346832</td>\n",
       "      <td>-124.6527</td>\n",
       "      <td>United States</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Clallam</td>\n",
       "      <td>172.68</td>\n",
       "      <td>-8</td>\n",
       "      <td>1543</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.474337e+06</td>\n",
       "      <td>1811140.6</td>\n",
       "      <td>33.76155</td>\n",
       "      <td>66.617615</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.572075</td>\n",
       "      <td>-122.341812</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 114 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   sc_gid   gid   latitude  longitude        country       state   county  \\\n",
       "2       6  1543  48.346832  -124.6527  United States  Washington  Clallam   \n",
       "\n",
       "   elevation_m  timezone  sc_point_gid  ...  cost_export_usd_per_mw  \\\n",
       "2       172.68        -8          1543  ...                     NaN   \n",
       "\n",
       "   cost_reinforcement_usd_per_mw cost_total_trans_usd_per_mw lcot_usd_per_mwh  \\\n",
       "2                   1.474337e+06                   1811140.6         33.76155   \n",
       "\n",
       "   lcoe_all_in_usd_per_mwh  latitude_poi  longitude_poi  \\\n",
       "2                66.617615           NaN            NaN   \n",
       "\n",
       "  latitude_reinforcement_poi longitude_reinforcement_poi dist_to_my_point  \n",
       "2                  47.572075                 -122.341812              0.0  \n",
       "\n",
       "[1 rows x 114 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "my_lat, my_lon = 48.346832, -124.6527\n",
    "\n",
    "reference_wind_supply_curve[\"dist_to_my_point\"] = np.hypot(\n",
    "    reference_wind_supply_curve[\"latitude\"] - my_lat,\n",
    "    reference_wind_supply_curve[\"longitude\"] - my_lon\n",
    ")\n",
    "point = reference_wind_supply_curve.sort_values(\n",
    "    by=\"dist_to_my_point\"\n",
    ").iloc[[0]]\n",
    "point"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once you know the `sc_gid`, you can proceed as before:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8760, 1)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with h5py.File(\"wind_reference_bespoke.h5\", \"r\") as fh:\n",
    "    profile_scale_factor = fh[\"cf_profile-2013\"].attrs[\"scale_factor\"]\n",
    "    profile = fh[\"cf_profile-2013\"][:, point[\"sc_gid\"]] / profile_scale_factor\n",
    "    ti = pd.to_datetime(fh[\"time_index\"][:].astype(str))\n",
    "\n",
    "profile.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(ti[:100], profile[:100])\n",
    "plt.title(f\"CF Profile for SC Point GID: {point['sc_point_gid'].iloc[0]:,}\")\n",
    "plt.ylabel(\"Capacity factor (AC)\")\n",
    "plt.xlabel(\"Time index (hours)\")\n",
    "plt.xticks(rotation=45, ha=\"right\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "sl",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}