{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ad7193fe-7676-47f1-abef-20260de545c2",
   "metadata": {},
   "source": [
    "# TMY versus Single-Year\n",
    "\n",
    "TMYs are built from monthly segments pulled from actual (single-year) data.  As such, one might expect each month in a TMY dataset to be identical to the same month in the corresponding single-year data.  This notebook demonstrates that this expectation does not exactly hold for PSM3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b2d21a77-bd0d-435b-9ba1-a4e00d8e0488",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pvlib\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9e5f9a5-0781-49f1-b557-4274cf5e39fc",
   "metadata": {},
   "source": [
    "First, let's fetch a normal TMY file.  I specify `names='tmy-2020'` so that this notebook fetches the same TMY data in the future."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3114cdf3-e44e-449c-877d-fb65dc422018",
   "metadata": {},
   "outputs": [],
   "source": [
    "kwargs = dict(latitude=40, longitude=-80, api_key='DEMO_KEY', email='assessingsolar@gmail.com',\n",
    "              map_variables=True, leap_day=True)\n",
    "real_tmy = pvlib.iotools.get_psm3(names='tmy-2020', **kwargs)[0].drop(columns=['Year', 'Month', 'Day', 'Hour', 'Minute'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "19a00d0a-6510-42ca-a44c-a123a596bef5",
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pressure</th>\n",
       "      <th>albedo</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>temp_air</th>\n",
       "      <th>Dew Point</th>\n",
       "      <th>dni</th>\n",
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       "      <th>1999-01-01 00:30:00-05:00</th>\n",
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       "      <th>1999-01-01 02:30:00-05:00</th>\n",
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       "      <th>1999-01-01 03:30:00-05:00</th>\n",
       "      <td>970.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>265.0</td>\n",
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       "      <th>1999-01-01 04:30:00-05:00</th>\n",
       "      <td>970.0</td>\n",
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       "      <th>1999-01-01 05:30:00-05:00</th>\n",
       "      <td>970.0</td>\n",
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       "      <td>0.6</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-01-01 06:30:00-05:00</th>\n",
       "      <td>970.0</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.6</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-01-01 07:30:00-05:00</th>\n",
       "      <td>970.0</td>\n",
       "      <td>0.87</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>1999-01-01 08:30:00-05:00</th>\n",
       "      <td>980.0</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.6</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-14.0</td>\n",
       "      <td>497.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>39.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-01-01 09:30:00-05:00</th>\n",
       "      <td>980.0</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.6</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-14.0</td>\n",
       "      <td>712.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>283.0</td>\n",
       "      <td>72.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "                           pressure  albedo  wind_speed  temp_air  Dew Point  \\\n",
       "1999-01-01 00:30:00-05:00     970.0    0.87         0.6      -6.0      -10.0   \n",
       "1999-01-01 01:30:00-05:00     970.0    0.87         0.6      -7.0      -10.0   \n",
       "1999-01-01 02:30:00-05:00     970.0    0.87         0.6      -7.0      -11.0   \n",
       "1999-01-01 03:30:00-05:00     970.0    0.87         0.6      -7.0      -12.0   \n",
       "1999-01-01 04:30:00-05:00     970.0    0.87         0.6      -7.0      -12.0   \n",
       "1999-01-01 05:30:00-05:00     970.0    0.87         0.6      -8.0      -13.0   \n",
       "1999-01-01 06:30:00-05:00     970.0    0.87         0.6      -8.0      -13.0   \n",
       "1999-01-01 07:30:00-05:00     970.0    0.87         0.6      -8.0      -14.0   \n",
       "1999-01-01 08:30:00-05:00     980.0    0.87         0.6      -8.0      -14.0   \n",
       "1999-01-01 09:30:00-05:00     980.0    0.87         0.6      -7.0      -14.0   \n",
       "\n",
       "                             dni    ghi  wind_direction   dhi  \n",
       "1999-01-01 00:30:00-05:00    0.0    0.0           256.0   0.0  \n",
       "1999-01-01 01:30:00-05:00    0.0    0.0           258.0   0.0  \n",
       "1999-01-01 02:30:00-05:00    0.0    0.0           262.0   0.0  \n",
       "1999-01-01 03:30:00-05:00    0.0    0.0           265.0   0.0  \n",
       "1999-01-01 04:30:00-05:00    0.0    0.0           270.0   0.0  \n",
       "1999-01-01 05:30:00-05:00    0.0    0.0           275.0   0.0  \n",
       "1999-01-01 06:30:00-05:00    0.0    0.0           280.0   0.0  \n",
       "1999-01-01 07:30:00-05:00    0.0    0.0           280.0   0.0  \n",
       "1999-01-01 08:30:00-05:00  497.0   98.0           279.0  39.0  \n",
       "1999-01-01 09:30:00-05:00  712.0  258.0           283.0  72.0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "real_tmy.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9876470-c867-4754-94f6-35ea3c0370d1",
   "metadata": {},
   "source": [
    "Now, let's build the same TMY using the corresponding single-year data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "90abd0a5-2e9e-4ef9-8f3e-4f59120ef768",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs = []\n",
    "for year in np.unique(real_tmy.index.year):\n",
    "    dfs.append(pvlib.iotools.get_psm3(names=year, **kwargs)[0].drop(columns=['Year', 'Month', 'Day', 'Hour', 'Minute']))\n",
    "\n",
    "df = pd.concat(dfs)\n",
    "fake_tmy = df.reindex(real_tmy.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "de64eb78-d4b7-49ed-9f27-807868d81745",
   "metadata": {},
   "outputs": [
    {
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       "      <th>1999-01-01 03:30:00-05:00</th>\n",
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       "      <th>1999-01-01 04:30:00-05:00</th>\n",
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       "      <th>1999-01-01 05:30:00-05:00</th>\n",
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       "      <td>275.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>1999-01-01 06:30:00-05:00</th>\n",
       "      <td>970.0</td>\n",
       "      <td>0.866</td>\n",
       "      <td>0.6</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>279.6</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>1999-01-01 07:30:00-05:00</th>\n",
       "      <td>970.0</td>\n",
       "      <td>0.866</td>\n",
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       "      <th>1999-01-01 09:30:00-05:00</th>\n",
       "      <td>980.0</td>\n",
       "      <td>0.866</td>\n",
       "      <td>0.6</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-14.0</td>\n",
       "      <td>712.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>283.2</td>\n",
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      "text/plain": [
       "                           pressure  albedo  wind_speed  temp_air  Dew Point  \\\n",
       "1999-01-01 00:30:00-05:00     970.0   0.866         0.6      -6.0      -10.0   \n",
       "1999-01-01 01:30:00-05:00     970.0   0.866         0.6      -7.0      -10.0   \n",
       "1999-01-01 02:30:00-05:00     970.0   0.866         0.6      -7.0      -11.0   \n",
       "1999-01-01 03:30:00-05:00     970.0   0.866         0.6      -7.0      -12.0   \n",
       "1999-01-01 04:30:00-05:00     970.0   0.866         0.6      -7.0      -12.0   \n",
       "1999-01-01 05:30:00-05:00     970.0   0.866         0.6      -8.0      -13.0   \n",
       "1999-01-01 06:30:00-05:00     970.0   0.866         0.6      -8.0      -13.0   \n",
       "1999-01-01 07:30:00-05:00     970.0   0.866         0.6      -8.0      -14.0   \n",
       "1999-01-01 08:30:00-05:00     980.0   0.866         0.6      -8.0      -14.0   \n",
       "1999-01-01 09:30:00-05:00     980.0   0.866         0.6      -7.0      -14.0   \n",
       "\n",
       "                             dni    ghi  wind_direction   dhi  \n",
       "1999-01-01 00:30:00-05:00    0.0    0.0           256.3   0.0  \n",
       "1999-01-01 01:30:00-05:00    0.0    0.0           258.3   0.0  \n",
       "1999-01-01 02:30:00-05:00    0.0    0.0           261.5   0.0  \n",
       "1999-01-01 03:30:00-05:00    0.0    0.0           265.1   0.0  \n",
       "1999-01-01 04:30:00-05:00    0.0    0.0           269.7   0.0  \n",
       "1999-01-01 05:30:00-05:00    0.0    0.0           275.0   0.0  \n",
       "1999-01-01 06:30:00-05:00    0.0    0.0           279.6   0.0  \n",
       "1999-01-01 07:30:00-05:00    0.0    0.0           280.4   0.0  \n",
       "1999-01-01 08:30:00-05:00  497.0   98.0           279.4  39.0  \n",
       "1999-01-01 09:30:00-05:00  712.0  258.0           283.2  72.0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fake_tmy.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a10a5c85-b234-4e4c-8b90-a0f36180d0ef",
   "metadata": {},
   "source": [
    "Right away we can see that `wind_direction` is somewhat different. Note also that `albedo` is different, although it's a precision difference rather than truly different values.  Let's take a broader look:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "db2bcfa1-15e4-4462-b8bd-57794ad3c6fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "columns = ['ghi', 'dni', 'dhi', 'temp_air', 'wind_speed',\n",
    "           'wind_direction', 'pressure', 'albedo', 'Dew Point']\n",
    "\n",
    "fig, axes = plt.subplots(3, 3, figsize=(6, 6))\n",
    "axes = axes.ravel()\n",
    "\n",
    "for ax, col in zip(axes, columns):\n",
    "    ax.scatter(real_tmy[col], fake_tmy[col], s=4)\n",
    "    ax.set_title(col)\n",
    "    ax.set_xlabel(\"PSM3 TMY\")\n",
    "    ax.set_ylabel(\"PSM3 Single-Year\")\n",
    "    x = real_tmy[col].mean()\n",
    "    ax.axline((x, x), slope=1)\n",
    "\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5929a57c-1d5f-4508-8539-9ddc4c271af0",
   "metadata": {},
   "source": [
    "How often do the values not match up?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "94fae4ae-8d0c-483e-8116-39fb5e6173bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ghi               0.000228\n",
       "dni               0.000228\n",
       "dhi               0.000228\n",
       "temp_air          0.005594\n",
       "wind_speed        0.003995\n",
       "wind_direction    0.499543\n",
       "pressure          0.003653\n",
       "albedo            0.792922\n",
       "Dew Point         0.006279\n",
       "dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(real_tmy != fake_tmy)[columns].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9164d44c-6d87-4d02-91b0-24843921fbd3",
   "metadata": {},
   "source": [
    "And what about just during the daytime?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "958b2ee2-0e2e-4e76-979c-ae97891373a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ghi               0.000460\n",
       "dni               0.000460\n",
       "dhi               0.000460\n",
       "temp_air          0.000230\n",
       "wind_speed        0.000230\n",
       "wind_direction    0.412319\n",
       "pressure          0.000230\n",
       "albedo            0.774764\n",
       "Dew Point         0.000460\n",
       "dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mask = real_tmy['ghi'] > 0\n",
    "(real_tmy.loc[mask] != fake_tmy.loc[mask])[columns].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6e707d28-c44e-4e76-90c9-ec4380105fe8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last updated: 2022-10-16 17:29:59\n",
      "\n",
      "pandas    : 1.5.0\n",
      "matplotlib: 3.5.2\n",
      "numpy     : 1.22.3\n",
      "pvlib     : 0.9.3\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark --iversions -u -d -t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fd0d3bf0-4594-49ee-86a3-9bf706669a7e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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