Pronostico con Modelos del clima..ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pronostico con modelos del clima"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/luisvargas/Desktop/Tesis Pvlib/env_pvlib_tesis/lib/python3.8/site-packages/pvlib/forecast.py:18: UserWarning: The forecast module algorithms and features are highly experimental. The API may change, the functionality may be consolidated into an io module, or the module may be separated into its own package.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# built in python modules\n",
    "import datetime\n",
    "import os\n",
    "\n",
    "# python add-ons\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# for accessing UNIDATA THREDD servers\n",
    "from siphon.catalog import TDSCatalog\n",
    "from siphon.ncss import NCSS\n",
    "\n",
    "import pvlib\n",
    "from pvlib.forecast import GFS, HRRR_ESRL, NAM, NDFD, HRRR, RAP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-11-19 00:00:00-06:00 2020-11-24 00:00:00-06:00\n"
     ]
    }
   ],
   "source": [
    "# Choose a location and time.\n",
    "# Tucson, AZ\n",
    "latitude = 20.56\n",
    "longitude = -103.22 \n",
    "tz = 'America/Mexico_City'\n",
    "\n",
    "start = pd.Timestamp(datetime.date.today(), tz=tz) # today's date\n",
    "end = start + pd.Timedelta(days=5) # 5 days from today\n",
    "print(start, end)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  GFS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pvlib.forecast import GFS, HRRR_ESRL, NAM, NDFD, HRRR, RAP "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# GFS model, defaults to 0.5 degree resolution\n",
    "fm = GFS()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    GFS(ForecastModel)\n",
    "    Subclass of the ForecastModel class representing GFS\n",
    "    forecast model.\n",
    "\n",
    "    Model data corresponds to 0.25 degree resolution forecasts.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    resolution: string, default 'half'\n",
    "        Resolution of the model, either 'half' or 'quarter' degree.\n",
    "    set_type: string, default 'best'\n",
    "        Type of model to pull data from.\n",
    "\n",
    "    Attributes\n",
    "    ----------\n",
    "    dataframe_variables: list\n",
    "        Common variables present in the final set of data.\n",
    "    model: string\n",
    "        Name of the UNIDATA forecast model.\n",
    "    model_type: string\n",
    "        UNIDATA category in which the model is located.\n",
    "    variables: dict\n",
    "        Defines the variables to obtain from the weather\n",
    "        model and how they should be renamed to common variable names.\n",
    "    units: dict\n",
    "        Dictionary containing the units of the standard variables\n",
    "        and the model specific variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Conseguir los datos para el sitio dado\n",
    "data = fm.get_data(latitude, longitude, start, end)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.590577</td>\n",
       "      <td>-1.306960</td>\n",
       "      <td>-0.994258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-22 15:00:00-06:00</th>\n",
       "      <td>110.0</td>\n",
       "      <td>293.272644</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.416800</td>\n",
       "      <td>-1.793437</td>\n",
       "      <td>0.152830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-22 18:00:00-06:00</th>\n",
       "      <td>370.0</td>\n",
       "      <td>306.960022</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.216064</td>\n",
       "      <td>-1.559961</td>\n",
       "      <td>-0.005620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-22 21:00:00-06:00</th>\n",
       "      <td>780.0</td>\n",
       "      <td>308.267151</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.934212</td>\n",
       "      <td>0.389922</td>\n",
       "      <td>-0.565938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-23 00:00:00-06:00</th>\n",
       "      <td>550.0</td>\n",
       "      <td>291.740051</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.507877</td>\n",
       "      <td>0.757876</td>\n",
       "      <td>-0.910437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-23 03:00:00-06:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>287.670410</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.215103</td>\n",
       "      <td>-0.778928</td>\n",
       "      <td>-0.640552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-23 06:00:00-06:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>287.344055</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.603809</td>\n",
       "      <td>-2.559517</td>\n",
       "      <td>0.447410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-23 09:00:00-06:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>284.967468</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.727051</td>\n",
       "      <td>-1.659893</td>\n",
       "      <td>-0.496003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-23 12:00:00-06:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>283.791931</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.822412</td>\n",
       "      <td>-1.673154</td>\n",
       "      <td>-0.697783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-23 15:00:00-06:00</th>\n",
       "      <td>110.0</td>\n",
       "      <td>292.239319</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.645072</td>\n",
       "      <td>-1.955254</td>\n",
       "      <td>0.023604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-23 18:00:00-06:00</th>\n",
       "      <td>370.0</td>\n",
       "      <td>304.947327</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.000244</td>\n",
       "      <td>-1.511804</td>\n",
       "      <td>1.043740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-23 21:00:00-06:00</th>\n",
       "      <td>770.0</td>\n",
       "      <td>305.973785</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>0.385435</td>\n",
       "      <td>1.294229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-24 00:00:00-06:00</th>\n",
       "      <td>550.0</td>\n",
       "      <td>291.980469</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.214952</td>\n",
       "      <td>0.973052</td>\n",
       "      <td>1.911667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Downward_Short-Wave_Radiation_Flux_surface_Mixed_intervals_Average  \\\n",
       "2020-11-19 06:00:00-06:00                                                0.0                    \n",
       "2020-11-19 09:00:00-06:00                                                0.0                    \n",
       "2020-11-19 12:00:00-06:00                                                0.0                    \n",
       "2020-11-19 15:00:00-06:00                                              110.0                    \n",
       "2020-11-19 18:00:00-06:00                                              380.0                    \n",
       "2020-11-19 21:00:00-06:00                                              780.0                    \n",
       "2020-11-20 00:00:00-06:00                                              554.0                    \n",
       "2020-11-20 03:00:00-06:00                                                0.0                    \n",
       "2020-11-20 06:00:00-06:00                                                0.0                    \n",
       "2020-11-20 09:00:00-06:00                                                0.0                    \n",
       "2020-11-20 12:00:00-06:00                                                0.0                    \n",
       "2020-11-20 15:00:00-06:00                                              110.0                    \n",
       "2020-11-20 18:00:00-06:00                                              380.0                    \n",
       "2020-11-20 21:00:00-06:00                                              770.0                    \n",
       "2020-11-21 00:00:00-06:00                                              548.0                    \n",
       "2020-11-21 03:00:00-06:00                                                0.0                    \n",
       "2020-11-21 06:00:00-06:00                                                0.0                    \n",
       "2020-11-21 09:00:00-06:00                                                0.0                    \n",
       "2020-11-21 12:00:00-06:00                                                0.0                    \n",
       "2020-11-21 15:00:00-06:00                                              110.0                    \n",
       "2020-11-21 18:00:00-06:00                                              370.0                    \n",
       "2020-11-21 21:00:00-06:00                                              760.0                    \n",
       "2020-11-22 00:00:00-06:00                                              460.0                    \n",
       "2020-11-22 03:00:00-06:00                                                0.0                    \n",
       "2020-11-22 06:00:00-06:00                                                0.0                    \n",
       "2020-11-22 09:00:00-06:00                                                0.0                    \n",
       "2020-11-22 12:00:00-06:00                                                0.0                    \n",
       "2020-11-22 15:00:00-06:00                                              110.0                    \n",
       "2020-11-22 18:00:00-06:00                                              370.0                    \n",
       "2020-11-22 21:00:00-06:00                                              780.0                    \n",
       "2020-11-23 00:00:00-06:00                                              550.0                    \n",
       "2020-11-23 03:00:00-06:00                                                0.0                    \n",
       "2020-11-23 06:00:00-06:00                                                0.0                    \n",
       "2020-11-23 09:00:00-06:00                                                0.0                    \n",
       "2020-11-23 12:00:00-06:00                                                0.0                    \n",
       "2020-11-23 15:00:00-06:00                                              110.0                    \n",
       "2020-11-23 18:00:00-06:00                                              370.0                    \n",
       "2020-11-23 21:00:00-06:00                                              770.0                    \n",
       "2020-11-24 00:00:00-06:00                                              550.0                    \n",
       "\n",
       "                           Temperature_surface  \\\n",
       "2020-11-19 06:00:00-06:00           286.299408   \n",
       "2020-11-19 09:00:00-06:00           284.178070   \n",
       "2020-11-19 12:00:00-06:00           282.439056   \n",
       "2020-11-19 15:00:00-06:00           290.200012   \n",
       "2020-11-19 18:00:00-06:00           300.951263   \n",
       "2020-11-19 21:00:00-06:00           302.551270   \n",
       "2020-11-20 00:00:00-06:00           291.840393   \n",
       "2020-11-20 03:00:00-06:00           287.281860   \n",
       "2020-11-20 06:00:00-06:00           286.101135   \n",
       "2020-11-20 09:00:00-06:00           283.653809   \n",
       "2020-11-20 12:00:00-06:00           282.338257   \n",
       "2020-11-20 15:00:00-06:00           291.016113   \n",
       "2020-11-20 18:00:00-06:00           304.948914   \n",
       "2020-11-20 21:00:00-06:00           307.424469   \n",
       "2020-11-21 00:00:00-06:00           291.847290   \n",
       "2020-11-21 03:00:00-06:00           287.789978   \n",
       "2020-11-21 06:00:00-06:00           287.450073   \n",
       "2020-11-21 09:00:00-06:00           286.336365   \n",
       "2020-11-21 12:00:00-06:00           284.577576   \n",
       "2020-11-21 15:00:00-06:00           293.057587   \n",
       "2020-11-21 18:00:00-06:00           304.077271   \n",
       "2020-11-21 21:00:00-06:00           308.646790   \n",
       "2020-11-22 00:00:00-06:00           294.209290   \n",
       "2020-11-22 03:00:00-06:00           289.363342   \n",
       "2020-11-22 06:00:00-06:00           288.796997   \n",
       "2020-11-22 09:00:00-06:00           286.725616   \n",
       "2020-11-22 12:00:00-06:00           284.562439   \n",
       "2020-11-22 15:00:00-06:00           293.272644   \n",
       "2020-11-22 18:00:00-06:00           306.960022   \n",
       "2020-11-22 21:00:00-06:00           308.267151   \n",
       "2020-11-23 00:00:00-06:00           291.740051   \n",
       "2020-11-23 03:00:00-06:00           287.670410   \n",
       "2020-11-23 06:00:00-06:00           287.344055   \n",
       "2020-11-23 09:00:00-06:00           284.967468   \n",
       "2020-11-23 12:00:00-06:00           283.791931   \n",
       "2020-11-23 15:00:00-06:00           292.239319   \n",
       "2020-11-23 18:00:00-06:00           304.947327   \n",
       "2020-11-23 21:00:00-06:00           305.973785   \n",
       "2020-11-24 00:00:00-06:00           291.980469   \n",
       "\n",
       "                           Total_cloud_cover_boundary_layer_cloud_Mixed_intervals_Average  \\\n",
       "2020-11-19 06:00:00-06:00                                                0.0                \n",
       "2020-11-19 09:00:00-06:00                                                0.0                \n",
       "2020-11-19 12:00:00-06:00                                                0.0                \n",
       "2020-11-19 15:00:00-06:00                                                0.0                \n",
       "2020-11-19 18:00:00-06:00                                                0.0                \n",
       "2020-11-19 21:00:00-06:00                                                0.0                \n",
       "2020-11-20 00:00:00-06:00                                                0.0                \n",
       "2020-11-20 03:00:00-06:00                                                0.0                \n",
       "2020-11-20 06:00:00-06:00                                                0.0                \n",
       "2020-11-20 09:00:00-06:00                                                0.0                \n",
       "2020-11-20 12:00:00-06:00                                                0.0                \n",
       "2020-11-20 15:00:00-06:00                                                0.0                \n",
       "2020-11-20 18:00:00-06:00                                                0.0                \n",
       "2020-11-20 21:00:00-06:00                                                0.0                \n",
       "2020-11-21 00:00:00-06:00                                                0.0                \n",
       "2020-11-21 03:00:00-06:00                                                0.0                \n",
       "2020-11-21 06:00:00-06:00                                                0.0                \n",
       "2020-11-21 09:00:00-06:00                                                0.0                \n",
       "2020-11-21 12:00:00-06:00                                                0.0                \n",
       "2020-11-21 15:00:00-06:00                                                0.0                \n",
       "2020-11-21 18:00:00-06:00                                                0.0                \n",
       "2020-11-21 21:00:00-06:00                                                0.0                \n",
       "2020-11-22 00:00:00-06:00                                                0.0                \n",
       "2020-11-22 03:00:00-06:00                                                0.0                \n",
       "2020-11-22 06:00:00-06:00                                                0.0                \n",
       "2020-11-22 09:00:00-06:00                                                0.0                \n",
       "2020-11-22 12:00:00-06:00                                                0.0                \n",
       "2020-11-22 15:00:00-06:00                                                0.0                \n",
       "2020-11-22 18:00:00-06:00                                                0.0                \n",
       "2020-11-22 21:00:00-06:00                                                0.0                \n",
       "2020-11-23 00:00:00-06:00                                                0.0                \n",
       "2020-11-23 03:00:00-06:00                                                0.0                \n",
       "2020-11-23 06:00:00-06:00                                                0.0                \n",
       "2020-11-23 09:00:00-06:00                                                0.0                \n",
       "2020-11-23 12:00:00-06:00                                                0.0                \n",
       "2020-11-23 15:00:00-06:00                                                0.0                \n",
       "2020-11-23 18:00:00-06:00                                                0.0                \n",
       "2020-11-23 21:00:00-06:00                                                0.0                \n",
       "2020-11-24 00:00:00-06:00                                                0.0                \n",
       "\n",
       "                           Total_cloud_cover_convective_cloud  \\\n",
       "2020-11-19 06:00:00-06:00                                 0.0   \n",
       "2020-11-19 09:00:00-06:00                                 0.0   \n",
       "2020-11-19 12:00:00-06:00                                 0.0   \n",
       "2020-11-19 15:00:00-06:00                                 0.0   \n",
       "2020-11-19 18:00:00-06:00                                 0.0   \n",
       "2020-11-19 21:00:00-06:00                                 0.0   \n",
       "2020-11-20 00:00:00-06:00                                 0.0   \n",
       "2020-11-20 03:00:00-06:00                                 0.0   \n",
       "2020-11-20 06:00:00-06:00                                 0.0   \n",
       "2020-11-20 09:00:00-06:00                                 0.0   \n",
       "2020-11-20 12:00:00-06:00                                 0.0   \n",
       "2020-11-20 15:00:00-06:00                                 0.0   \n",
       "2020-11-20 18:00:00-06:00                                 0.0   \n",
       "2020-11-20 21:00:00-06:00                                 0.0   \n",
       "2020-11-21 00:00:00-06:00                                 0.0   \n",
       "2020-11-21 03:00:00-06:00                                 0.0   \n",
       "2020-11-21 06:00:00-06:00                                 0.0   \n",
       "2020-11-21 09:00:00-06:00                                 0.0   \n",
       "2020-11-21 12:00:00-06:00                                 0.0   \n",
       "2020-11-21 15:00:00-06:00                                 0.0   \n",
       "2020-11-21 18:00:00-06:00                                 0.0   \n",
       "2020-11-21 21:00:00-06:00                                 0.0   \n",
       "2020-11-22 00:00:00-06:00                                 0.0   \n",
       "2020-11-22 03:00:00-06:00                                 0.0   \n",
       "2020-11-22 06:00:00-06:00                                 0.0   \n",
       "2020-11-22 09:00:00-06:00                                 0.0   \n",
       "2020-11-22 12:00:00-06:00                                 0.0   \n",
       "2020-11-22 15:00:00-06:00                                 0.0   \n",
       "2020-11-22 18:00:00-06:00                                 0.0   \n",
       "2020-11-22 21:00:00-06:00                                 0.0   \n",
       "2020-11-23 00:00:00-06:00                                 0.0   \n",
       "2020-11-23 03:00:00-06:00                                 0.0   \n",
       "2020-11-23 06:00:00-06:00                                 0.0   \n",
       "2020-11-23 09:00:00-06:00                                 0.0   \n",
       "2020-11-23 12:00:00-06:00                                 0.0   \n",
       "2020-11-23 15:00:00-06:00                                 0.0   \n",
       "2020-11-23 18:00:00-06:00                                 0.0   \n",
       "2020-11-23 21:00:00-06:00                                 0.0   \n",
       "2020-11-24 00:00:00-06:00                                 0.0   \n",
       "\n",
       "                           Total_cloud_cover_entire_atmosphere_Mixed_intervals_Average  \\\n",
       "2020-11-19 06:00:00-06:00                                                0.0             \n",
       "2020-11-19 09:00:00-06:00                                                0.0             \n",
       "2020-11-19 12:00:00-06:00                                                0.0             \n",
       "2020-11-19 15:00:00-06:00                                                0.0             \n",
       "2020-11-19 18:00:00-06:00                                                0.0             \n",
       "2020-11-19 21:00:00-06:00                                                0.0             \n",
       "2020-11-20 00:00:00-06:00                                                0.0             \n",
       "2020-11-20 03:00:00-06:00                                                0.0             \n",
       "2020-11-20 06:00:00-06:00                                                0.0             \n",
       "2020-11-20 09:00:00-06:00                                                0.0             \n",
       "2020-11-20 12:00:00-06:00                                                0.0             \n",
       "2020-11-20 15:00:00-06:00                                                0.0             \n",
       "2020-11-20 18:00:00-06:00                                                0.0             \n",
       "2020-11-20 21:00:00-06:00                                                0.0             \n",
       "2020-11-21 00:00:00-06:00                                                0.0             \n",
       "2020-11-21 03:00:00-06:00                                                0.0             \n",
       "2020-11-21 06:00:00-06:00                                                0.0             \n",
       "2020-11-21 09:00:00-06:00                                                0.0             \n",
       "2020-11-21 12:00:00-06:00                                                0.0             \n",
       "2020-11-21 15:00:00-06:00                                                0.0             \n",
       "2020-11-21 18:00:00-06:00                                                0.0             \n",
       "2020-11-21 21:00:00-06:00                                                0.0             \n",
       "2020-11-22 00:00:00-06:00                                               46.0             \n",
       "2020-11-22 03:00:00-06:00                                               35.0             \n",
       "2020-11-22 06:00:00-06:00                                               25.0             \n",
       "2020-11-22 09:00:00-06:00                                                0.0             \n",
       "2020-11-22 12:00:00-06:00                                                0.0             \n",
       "2020-11-22 15:00:00-06:00                                                0.0             \n",
       "2020-11-22 18:00:00-06:00                                                0.0             \n",
       "2020-11-22 21:00:00-06:00                                                0.0             \n",
       "2020-11-23 00:00:00-06:00                                                0.0             \n",
       "2020-11-23 03:00:00-06:00                                                0.0             \n",
       "2020-11-23 06:00:00-06:00                                                0.0             \n",
       "2020-11-23 09:00:00-06:00                                                0.0             \n",
       "2020-11-23 12:00:00-06:00                                                0.0             \n",
       "2020-11-23 15:00:00-06:00                                                0.0             \n",
       "2020-11-23 18:00:00-06:00                                                0.0             \n",
       "2020-11-23 21:00:00-06:00                                                0.0             \n",
       "2020-11-24 00:00:00-06:00                                                0.0             \n",
       "\n",
       "                           Total_cloud_cover_high_cloud_Mixed_intervals_Average  \\\n",
       "2020-11-19 06:00:00-06:00                                                0.0      \n",
       "2020-11-19 09:00:00-06:00                                                0.0      \n",
       "2020-11-19 12:00:00-06:00                                                0.0      \n",
       "2020-11-19 15:00:00-06:00                                                0.0      \n",
       "2020-11-19 18:00:00-06:00                                                0.0      \n",
       "2020-11-19 21:00:00-06:00                                                0.0      \n",
       "2020-11-20 00:00:00-06:00                                                0.0      \n",
       "2020-11-20 03:00:00-06:00                                                0.0      \n",
       "2020-11-20 06:00:00-06:00                                                0.0      \n",
       "2020-11-20 09:00:00-06:00                                                0.0      \n",
       "2020-11-20 12:00:00-06:00                                                0.0      \n",
       "2020-11-20 15:00:00-06:00                                                0.0      \n",
       "2020-11-20 18:00:00-06:00                                                0.0      \n",
       "2020-11-20 21:00:00-06:00                                                0.0      \n",
       "2020-11-21 00:00:00-06:00                                                0.0      \n",
       "2020-11-21 03:00:00-06:00                                                0.0      \n",
       "2020-11-21 06:00:00-06:00                                                0.0      \n",
       "2020-11-21 09:00:00-06:00                                                0.0      \n",
       "2020-11-21 12:00:00-06:00                                                0.0      \n",
       "2020-11-21 15:00:00-06:00                                                0.0      \n",
       "2020-11-21 18:00:00-06:00                                                0.0      \n",
       "2020-11-21 21:00:00-06:00                                                0.0      \n",
       "2020-11-22 00:00:00-06:00                                                0.0      \n",
       "2020-11-22 03:00:00-06:00                                                0.0      \n",
       "2020-11-22 06:00:00-06:00                                                0.0      \n",
       "2020-11-22 09:00:00-06:00                                                0.0      \n",
       "2020-11-22 12:00:00-06:00                                                0.0      \n",
       "2020-11-22 15:00:00-06:00                                                0.0      \n",
       "2020-11-22 18:00:00-06:00                                                0.0      \n",
       "2020-11-22 21:00:00-06:00                                                0.0      \n",
       "2020-11-23 00:00:00-06:00                                                0.0      \n",
       "2020-11-23 03:00:00-06:00                                                0.0      \n",
       "2020-11-23 06:00:00-06:00                                                0.0      \n",
       "2020-11-23 09:00:00-06:00                                                0.0      \n",
       "2020-11-23 12:00:00-06:00                                                0.0      \n",
       "2020-11-23 15:00:00-06:00                                                0.0      \n",
       "2020-11-23 18:00:00-06:00                                                0.0      \n",
       "2020-11-23 21:00:00-06:00                                                0.0      \n",
       "2020-11-24 00:00:00-06:00                                                0.0      \n",
       "\n",
       "                           Total_cloud_cover_low_cloud_Mixed_intervals_Average  \\\n",
       "2020-11-19 06:00:00-06:00                                                0.0     \n",
       "2020-11-19 09:00:00-06:00                                                0.0     \n",
       "2020-11-19 12:00:00-06:00                                                0.0     \n",
       "2020-11-19 15:00:00-06:00                                                0.0     \n",
       "2020-11-19 18:00:00-06:00                                                0.0     \n",
       "2020-11-19 21:00:00-06:00                                                0.0     \n",
       "2020-11-20 00:00:00-06:00                                                0.0     \n",
       "2020-11-20 03:00:00-06:00                                                0.0     \n",
       "2020-11-20 06:00:00-06:00                                                0.0     \n",
       "2020-11-20 09:00:00-06:00                                                0.0     \n",
       "2020-11-20 12:00:00-06:00                                                0.0     \n",
       "2020-11-20 15:00:00-06:00                                                0.0     \n",
       "2020-11-20 18:00:00-06:00                                                0.0     \n",
       "2020-11-20 21:00:00-06:00                                                0.0     \n",
       "2020-11-21 00:00:00-06:00                                                0.0     \n",
       "2020-11-21 03:00:00-06:00                                                0.0     \n",
       "2020-11-21 06:00:00-06:00                                                0.0     \n",
       "2020-11-21 09:00:00-06:00                                                0.0     \n",
       "2020-11-21 12:00:00-06:00                                                0.0     \n",
       "2020-11-21 15:00:00-06:00                                                0.0     \n",
       "2020-11-21 18:00:00-06:00                                                0.0     \n",
       "2020-11-21 21:00:00-06:00                                                0.0     \n",
       "2020-11-22 00:00:00-06:00                                                0.0     \n",
       "2020-11-22 03:00:00-06:00                                                0.0     \n",
       "2020-11-22 06:00:00-06:00                                                0.0     \n",
       "2020-11-22 09:00:00-06:00                                                0.0     \n",
       "2020-11-22 12:00:00-06:00                                                0.0     \n",
       "2020-11-22 15:00:00-06:00                                                0.0     \n",
       "2020-11-22 18:00:00-06:00                                                0.0     \n",
       "2020-11-22 21:00:00-06:00                                                0.0     \n",
       "2020-11-23 00:00:00-06:00                                                0.0     \n",
       "2020-11-23 03:00:00-06:00                                                0.0     \n",
       "2020-11-23 06:00:00-06:00                                                0.0     \n",
       "2020-11-23 09:00:00-06:00                                                0.0     \n",
       "2020-11-23 12:00:00-06:00                                                0.0     \n",
       "2020-11-23 15:00:00-06:00                                                0.0     \n",
       "2020-11-23 18:00:00-06:00                                                0.0     \n",
       "2020-11-23 21:00:00-06:00                                                0.0     \n",
       "2020-11-24 00:00:00-06:00                                                0.0     \n",
       "\n",
       "                           Total_cloud_cover_middle_cloud_Mixed_intervals_Average  \\\n",
       "2020-11-19 06:00:00-06:00                                                0.0        \n",
       "2020-11-19 09:00:00-06:00                                                0.0        \n",
       "2020-11-19 12:00:00-06:00                                                0.0        \n",
       "2020-11-19 15:00:00-06:00                                                0.0        \n",
       "2020-11-19 18:00:00-06:00                                                0.0        \n",
       "2020-11-19 21:00:00-06:00                                                0.0        \n",
       "2020-11-20 00:00:00-06:00                                                0.0        \n",
       "2020-11-20 03:00:00-06:00                                                0.0        \n",
       "2020-11-20 06:00:00-06:00                                                0.0        \n",
       "2020-11-20 09:00:00-06:00                                                0.0        \n",
       "2020-11-20 12:00:00-06:00                                                0.0        \n",
       "2020-11-20 15:00:00-06:00                                                0.0        \n",
       "2020-11-20 18:00:00-06:00                                                0.0        \n",
       "2020-11-20 21:00:00-06:00                                                0.0        \n",
       "2020-11-21 00:00:00-06:00                                                0.0        \n",
       "2020-11-21 03:00:00-06:00                                                0.0        \n",
       "2020-11-21 06:00:00-06:00                                                0.0        \n",
       "2020-11-21 09:00:00-06:00                                                0.0        \n",
       "2020-11-21 12:00:00-06:00                                                0.0        \n",
       "2020-11-21 15:00:00-06:00                                                0.0        \n",
       "2020-11-21 18:00:00-06:00                                                0.0        \n",
       "2020-11-21 21:00:00-06:00                                                0.0        \n",
       "2020-11-22 00:00:00-06:00                                               46.0        \n",
       "2020-11-22 03:00:00-06:00                                               35.0        \n",
       "2020-11-22 06:00:00-06:00                                               25.0        \n",
       "2020-11-22 09:00:00-06:00                                                0.0        \n",
       "2020-11-22 12:00:00-06:00                                                0.0        \n",
       "2020-11-22 15:00:00-06:00                                                0.0        \n",
       "2020-11-22 18:00:00-06:00                                                0.0        \n",
       "2020-11-22 21:00:00-06:00                                                0.0        \n",
       "2020-11-23 00:00:00-06:00                                                0.0        \n",
       "2020-11-23 03:00:00-06:00                                                0.0        \n",
       "2020-11-23 06:00:00-06:00                                                0.0        \n",
       "2020-11-23 09:00:00-06:00                                                0.0        \n",
       "2020-11-23 12:00:00-06:00                                                0.0        \n",
       "2020-11-23 15:00:00-06:00                                                0.0        \n",
       "2020-11-23 18:00:00-06:00                                                0.0        \n",
       "2020-11-23 21:00:00-06:00                                                0.0        \n",
       "2020-11-24 00:00:00-06:00                                                0.0        \n",
       "\n",
       "                           Wind_speed_gust_surface  \\\n",
       "2020-11-19 06:00:00-06:00                 2.456148   \n",
       "2020-11-19 09:00:00-06:00                 2.433794   \n",
       "2020-11-19 12:00:00-06:00                 1.842078   \n",
       "2020-11-19 15:00:00-06:00                 5.744560   \n",
       "2020-11-19 18:00:00-06:00                 5.040967   \n",
       "2020-11-19 21:00:00-06:00                 4.057886   \n",
       "2020-11-20 00:00:00-06:00                 1.931459   \n",
       "2020-11-20 03:00:00-06:00                 1.342121   \n",
       "2020-11-20 06:00:00-06:00                 2.122488   \n",
       "2020-11-20 09:00:00-06:00                 1.867908   \n",
       "2020-11-20 12:00:00-06:00                 1.836717   \n",
       "2020-11-20 15:00:00-06:00                 2.516365   \n",
       "2020-11-20 18:00:00-06:00                 2.110929   \n",
       "2020-11-20 21:00:00-06:00                 1.219574   \n",
       "2020-11-21 00:00:00-06:00                 1.644113   \n",
       "2020-11-21 03:00:00-06:00                 0.739384   \n",
       "2020-11-21 06:00:00-06:00                 1.640572   \n",
       "2020-11-21 09:00:00-06:00                 1.927572   \n",
       "2020-11-21 12:00:00-06:00                 1.644968   \n",
       "2020-11-21 15:00:00-06:00                 2.191868   \n",
       "2020-11-21 18:00:00-06:00                 3.748539   \n",
       "2020-11-21 21:00:00-06:00                 3.046894   \n",
       "2020-11-22 00:00:00-06:00                 2.356928   \n",
       "2020-11-22 03:00:00-06:00                 0.885306   \n",
       "2020-11-22 06:00:00-06:00                 2.257110   \n",
       "2020-11-22 09:00:00-06:00                 2.000000   \n",
       "2020-11-22 12:00:00-06:00                 1.590577   \n",
       "2020-11-22 15:00:00-06:00                 2.416800   \n",
       "2020-11-22 18:00:00-06:00                 2.216064   \n",
       "2020-11-22 21:00:00-06:00                 2.934212   \n",
       "2020-11-23 00:00:00-06:00                 1.507877   \n",
       "2020-11-23 03:00:00-06:00                 1.215103   \n",
       "2020-11-23 06:00:00-06:00                 2.603809   \n",
       "2020-11-23 09:00:00-06:00                 1.727051   \n",
       "2020-11-23 12:00:00-06:00                 1.822412   \n",
       "2020-11-23 15:00:00-06:00                 2.645072   \n",
       "2020-11-23 18:00:00-06:00                 2.000244   \n",
       "2020-11-23 21:00:00-06:00                 1.300000   \n",
       "2020-11-24 00:00:00-06:00                 2.214952   \n",
       "\n",
       "                           u-component_of_wind_isobaric  \\\n",
       "2020-11-19 06:00:00-06:00                     -1.957319   \n",
       "2020-11-19 09:00:00-06:00                     -0.977971   \n",
       "2020-11-19 12:00:00-06:00                     -1.483960   \n",
       "2020-11-19 15:00:00-06:00                     -2.492078   \n",
       "2020-11-19 18:00:00-06:00                     -3.185098   \n",
       "2020-11-19 21:00:00-06:00                     -2.374500   \n",
       "2020-11-20 00:00:00-06:00                     -1.312888   \n",
       "2020-11-20 03:00:00-06:00                     -1.181921   \n",
       "2020-11-20 06:00:00-06:00                     -1.777825   \n",
       "2020-11-20 09:00:00-06:00                     -1.104631   \n",
       "2020-11-20 12:00:00-06:00                     -1.338618   \n",
       "2020-11-20 15:00:00-06:00                     -1.630696   \n",
       "2020-11-20 18:00:00-06:00                     -1.406450   \n",
       "2020-11-20 21:00:00-06:00                      0.373923   \n",
       "2020-11-21 00:00:00-06:00                      1.257996   \n",
       "2020-11-21 03:00:00-06:00                      0.508713   \n",
       "2020-11-21 06:00:00-06:00                     -1.565762   \n",
       "2020-11-21 09:00:00-06:00                     -1.405967   \n",
       "2020-11-21 12:00:00-06:00                     -0.965352   \n",
       "2020-11-21 15:00:00-06:00                     -1.300610   \n",
       "2020-11-21 18:00:00-06:00                     -2.317791   \n",
       "2020-11-21 21:00:00-06:00                     -0.121597   \n",
       "2020-11-22 00:00:00-06:00                      0.738643   \n",
       "2020-11-22 03:00:00-06:00                     -0.890042   \n",
       "2020-11-22 06:00:00-06:00                     -2.259375   \n",
       "2020-11-22 09:00:00-06:00                     -1.469392   \n",
       "2020-11-22 12:00:00-06:00                     -1.306960   \n",
       "2020-11-22 15:00:00-06:00                     -1.793437   \n",
       "2020-11-22 18:00:00-06:00                     -1.559961   \n",
       "2020-11-22 21:00:00-06:00                      0.389922   \n",
       "2020-11-23 00:00:00-06:00                      0.757876   \n",
       "2020-11-23 03:00:00-06:00                     -0.778928   \n",
       "2020-11-23 06:00:00-06:00                     -2.559517   \n",
       "2020-11-23 09:00:00-06:00                     -1.659893   \n",
       "2020-11-23 12:00:00-06:00                     -1.673154   \n",
       "2020-11-23 15:00:00-06:00                     -1.955254   \n",
       "2020-11-23 18:00:00-06:00                     -1.511804   \n",
       "2020-11-23 21:00:00-06:00                      0.385435   \n",
       "2020-11-24 00:00:00-06:00                      0.973052   \n",
       "\n",
       "                           v-component_of_wind_isobaric  \n",
       "2020-11-19 06:00:00-06:00                     -1.388037  \n",
       "2020-11-19 09:00:00-06:00                     -1.711174  \n",
       "2020-11-19 12:00:00-06:00                     -1.049988  \n",
       "2020-11-19 15:00:00-06:00                     -0.948362  \n",
       "2020-11-19 18:00:00-06:00                     -1.168875  \n",
       "2020-11-19 21:00:00-06:00                     -1.924512  \n",
       "2020-11-20 00:00:00-06:00                     -1.358215  \n",
       "2020-11-20 03:00:00-06:00                     -0.687544  \n",
       "2020-11-20 06:00:00-06:00                     -1.139426  \n",
       "2020-11-20 09:00:00-06:00                     -1.469155  \n",
       "2020-11-20 12:00:00-06:00                     -1.367019  \n",
       "2020-11-20 15:00:00-06:00                     -0.595200  \n",
       "2020-11-20 18:00:00-06:00                     -0.445378  \n",
       "2020-11-20 21:00:00-06:00                      0.148345  \n",
       "2020-11-21 00:00:00-06:00                     -0.363169  \n",
       "2020-11-21 03:00:00-06:00                     -0.244624  \n",
       "2020-11-21 06:00:00-06:00                      0.406506  \n",
       "2020-11-21 09:00:00-06:00                     -1.302573  \n",
       "2020-11-21 12:00:00-06:00                     -1.317439  \n",
       "2020-11-21 15:00:00-06:00                     -0.901028  \n",
       "2020-11-21 18:00:00-06:00                      0.209202  \n",
       "2020-11-21 21:00:00-06:00                     -0.387300  \n",
       "2020-11-22 00:00:00-06:00                     -0.344319  \n",
       "2020-11-22 03:00:00-06:00                      0.267205  \n",
       "2020-11-22 06:00:00-06:00                     -0.438513  \n",
       "2020-11-22 09:00:00-06:00                     -1.359058  \n",
       "2020-11-22 12:00:00-06:00                     -0.994258  \n",
       "2020-11-22 15:00:00-06:00                      0.152830  \n",
       "2020-11-22 18:00:00-06:00                     -0.005620  \n",
       "2020-11-22 21:00:00-06:00                     -0.565938  \n",
       "2020-11-23 00:00:00-06:00                     -0.910437  \n",
       "2020-11-23 03:00:00-06:00                     -0.640552  \n",
       "2020-11-23 06:00:00-06:00                      0.447410  \n",
       "2020-11-23 09:00:00-06:00                     -0.496003  \n",
       "2020-11-23 12:00:00-06:00                     -0.697783  \n",
       "2020-11-23 15:00:00-06:00                      0.023604  \n",
       "2020-11-23 18:00:00-06:00                      1.043740  \n",
       "2020-11-23 21:00:00-06:00                      1.294229  \n",
       "2020-11-24 00:00:00-06:00                      1.911667  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[sorted(data.columns)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = fm.process_data(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[['ghi', 'dni', 'dhi']].plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#modelo de cielo despejado\n",
    "cs = fm.location.get_clearsky(data.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "cs['ghi'].plot(ax=ax, label='ineichen')\n",
    "#Larson et. al. \"Day-ahead forecasting of solar power output from photovoltaic plants in the American Southwest\" Renewable Energy91, 11-20 (2016).\n",
    "data['ghi'].plot(ax=ax, label='gfs+larson')\n",
    "ax.set_ylabel('ghi')\n",
    "ax.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "cs['dni'].plot(ax=ax, label='ineichen')\n",
    "data['dni'].plot(ax=ax, label='gfs+larson')\n",
    "ax.set_ylabel('dni')\n",
    "ax.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Datos obtenidos y procesados\n",
    "data = fm.get_processed_data(latitude, longitude, start, end)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>dhi</th>\n",
       "      <th>dni</th>\n",
       "      <th>ghi</th>\n",
       "      <th>high_clouds</th>\n",
       "      <th>low_clouds</th>\n",
       "      <th>mid_clouds</th>\n",
       "      <th>temp_air</th>\n",
       "      <th>total_clouds</th>\n",
       "      <th>wind_speed</th>\n",
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       "  </thead>\n",
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       "      <th>2020-11-19 06:00:00-06:00</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>3.056468</td>\n",
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       "    <tr>\n",
       "      <th>2020-11-20 00:00:00-06:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <th>2020-11-20 03:00:00-06:00</th>\n",
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       "      <th>2020-11-20 06:00:00-06:00</th>\n",
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       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>2020-11-20 09:00:00-06:00</th>\n",
       "      <td>88.001886</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2020-11-20 12:00:00-06:00</th>\n",
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       "    <tr>\n",
       "      <th>2020-11-20 15:00:00-06:00</th>\n",
       "      <td>115.073925</td>\n",
       "      <td>787.650731</td>\n",
       "      <td>586.385057</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.866119</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2020-11-20 18:00:00-06:00</th>\n",
       "      <td>3.087356</td>\n",
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       "      <td>3.087356</td>\n",
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       "      <td>31.798920</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.475284</td>\n",
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       "    <tr>\n",
       "      <th>2020-11-20 21:00:00-06:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34.274475</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.402275</td>\n",
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       "    <tr>\n",
       "      <th>2020-11-21 00:00:00-06:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.697296</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.309368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-21 03:00:00-06:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.639984</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.564473</td>\n",
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       "    <tr>\n",
       "      <th>2020-11-21 06:00:00-06:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.300079</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.617670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-21 09:00:00-06:00</th>\n",
       "      <td>87.524462</td>\n",
       "      <td>648.323223</td>\n",
       "      <td>338.497447</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.186371</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.916622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-21 12:00:00-06:00</th>\n",
       "      <td>157.471718</td>\n",
       "      <td>811.969969</td>\n",
       "      <td>762.909675</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.427582</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.633263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-21 15:00:00-06:00</th>\n",
       "      <td>114.286474</td>\n",
       "      <td>788.872457</td>\n",
       "      <td>585.011182</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.907593</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.582226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-21 18:00:00-06:00</th>\n",
       "      <td>3.017523</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.017523</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.927277</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.327213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-21 21:00:00-06:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.496796</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.405940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-22 00:00:00-06:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>21.059296</td>\n",
       "      <td>46.0</td>\n",
       "      <td>0.814953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-22 03:00:00-06:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>16.213348</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0.929286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-22 06:00:00-06:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>15.647003</td>\n",
       "      <td>25.0</td>\n",
       "      <td>2.301536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-22 09:00:00-06:00</th>\n",
       "      <td>87.048208</td>\n",
       "      <td>647.137669</td>\n",
       "      <td>335.781867</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.575623</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.001537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-22 12:00:00-06:00</th>\n",
       "      <td>156.038888</td>\n",
       "      <td>813.495436</td>\n",
       "      <td>760.523085</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.412445</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.642161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-22 15:00:00-06:00</th>\n",
       "      <td>113.521220</td>\n",
       "      <td>790.109083</td>\n",
       "      <td>583.728819</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.122650</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.799937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-22 18:00:00-06:00</th>\n",
       "      <td>2.965672</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.965672</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33.810028</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.559971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-22 21:00:00-06:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.117157</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.687259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-23 00:00:00-06:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.590057</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.184598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-23 03:00:00-06:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.520416</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.008482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-23 06:00:00-06:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.194061</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.598326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-23 09:00:00-06:00</th>\n",
       "      <td>86.572509</td>\n",
       "      <td>645.940645</td>\n",
       "      <td>333.077409</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.817474</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.732415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-23 12:00:00-06:00</th>\n",
       "      <td>154.635055</td>\n",
       "      <td>815.008784</td>\n",
       "      <td>758.191253</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.641937</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.812828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-23 15:00:00-06:00</th>\n",
       "      <td>112.777975</td>\n",
       "      <td>791.361413</td>\n",
       "      <td>582.539380</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.089325</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.955396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-23 18:00:00-06:00</th>\n",
       "      <td>2.931273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.931273</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>31.797333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.837103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-23 21:00:00-06:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32.823792</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.350403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-24 00:00:00-06:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.830475</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.145065</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  dhi         dni         ghi  high_clouds  \\\n",
       "2020-11-19 06:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-19 09:00:00-06:00   88.481066  650.643739  343.952733          0.0   \n",
       "2020-11-19 12:00:00-06:00  160.423460  808.881342  767.837346          0.0   \n",
       "2020-11-19 15:00:00-06:00  115.883761  786.443057  587.848969          0.0   \n",
       "2020-11-19 18:00:00-06:00    3.175885    0.000000    3.175885          0.0   \n",
       "2020-11-19 21:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-20 00:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-20 03:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-20 06:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-20 09:00:00-06:00   88.001886  649.493223  341.221852          0.0   \n",
       "2020-11-20 12:00:00-06:00  158.933327  810.432044  765.348593          0.0   \n",
       "2020-11-20 15:00:00-06:00  115.073925  787.650731  586.385057          0.0   \n",
       "2020-11-20 18:00:00-06:00    3.087356    0.000000    3.087356          0.0   \n",
       "2020-11-20 21:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-21 00:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-21 03:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-21 06:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-21 09:00:00-06:00   87.524462  648.323223  338.497447          0.0   \n",
       "2020-11-21 12:00:00-06:00  157.471718  811.969969  762.909675          0.0   \n",
       "2020-11-21 15:00:00-06:00  114.286474  788.872457  585.011182          0.0   \n",
       "2020-11-21 18:00:00-06:00    3.017523    0.000000    3.017523          0.0   \n",
       "2020-11-21 21:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-22 00:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-22 03:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-22 06:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-22 09:00:00-06:00   87.048208  647.137669  335.781867          0.0   \n",
       "2020-11-22 12:00:00-06:00  156.038888  813.495436  760.523085          0.0   \n",
       "2020-11-22 15:00:00-06:00  113.521220  790.109083  583.728819          0.0   \n",
       "2020-11-22 18:00:00-06:00    2.965672    0.000000    2.965672          0.0   \n",
       "2020-11-22 21:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-23 00:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-23 03:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-23 06:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-23 09:00:00-06:00   86.572509  645.940645  333.077409          0.0   \n",
       "2020-11-23 12:00:00-06:00  154.635055  815.008784  758.191253          0.0   \n",
       "2020-11-23 15:00:00-06:00  112.777975  791.361413  582.539380          0.0   \n",
       "2020-11-23 18:00:00-06:00    2.931273    0.000000    2.931273          0.0   \n",
       "2020-11-23 21:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "2020-11-24 00:00:00-06:00    0.000000    0.000000    0.000000          0.0   \n",
       "\n",
       "                           low_clouds  mid_clouds   temp_air  total_clouds  \\\n",
       "2020-11-19 06:00:00-06:00         0.0         0.0  13.149414           0.0   \n",
       "2020-11-19 09:00:00-06:00         0.0         0.0  11.028076           0.0   \n",
       "2020-11-19 12:00:00-06:00         0.0         0.0   9.289062           0.0   \n",
       "2020-11-19 15:00:00-06:00         0.0         0.0  17.050018           0.0   \n",
       "2020-11-19 18:00:00-06:00         0.0         0.0  27.801270           0.0   \n",
       "2020-11-19 21:00:00-06:00         0.0         0.0  29.401276           0.0   \n",
       "2020-11-20 00:00:00-06:00         0.0         0.0  18.690399           0.0   \n",
       "2020-11-20 03:00:00-06:00         0.0         0.0  14.131866           0.0   \n",
       "2020-11-20 06:00:00-06:00         0.0         0.0  12.951141           0.0   \n",
       "2020-11-20 09:00:00-06:00         0.0         0.0  10.503815           0.0   \n",
       "2020-11-20 12:00:00-06:00         0.0         0.0   9.188263           0.0   \n",
       "2020-11-20 15:00:00-06:00         0.0         0.0  17.866119           0.0   \n",
       "2020-11-20 18:00:00-06:00         0.0         0.0  31.798920           0.0   \n",
       "2020-11-20 21:00:00-06:00         0.0         0.0  34.274475           0.0   \n",
       "2020-11-21 00:00:00-06:00         0.0         0.0  18.697296           0.0   \n",
       "2020-11-21 03:00:00-06:00         0.0         0.0  14.639984           0.0   \n",
       "2020-11-21 06:00:00-06:00         0.0         0.0  14.300079           0.0   \n",
       "2020-11-21 09:00:00-06:00         0.0         0.0  13.186371           0.0   \n",
       "2020-11-21 12:00:00-06:00         0.0         0.0  11.427582           0.0   \n",
       "2020-11-21 15:00:00-06:00         0.0         0.0  19.907593           0.0   \n",
       "2020-11-21 18:00:00-06:00         0.0         0.0  30.927277           0.0   \n",
       "2020-11-21 21:00:00-06:00         0.0         0.0  35.496796           0.0   \n",
       "2020-11-22 00:00:00-06:00         0.0        46.0  21.059296          46.0   \n",
       "2020-11-22 03:00:00-06:00         0.0        35.0  16.213348          35.0   \n",
       "2020-11-22 06:00:00-06:00         0.0        25.0  15.647003          25.0   \n",
       "2020-11-22 09:00:00-06:00         0.0         0.0  13.575623           0.0   \n",
       "2020-11-22 12:00:00-06:00         0.0         0.0  11.412445           0.0   \n",
       "2020-11-22 15:00:00-06:00         0.0         0.0  20.122650           0.0   \n",
       "2020-11-22 18:00:00-06:00         0.0         0.0  33.810028           0.0   \n",
       "2020-11-22 21:00:00-06:00         0.0         0.0  35.117157           0.0   \n",
       "2020-11-23 00:00:00-06:00         0.0         0.0  18.590057           0.0   \n",
       "2020-11-23 03:00:00-06:00         0.0         0.0  14.520416           0.0   \n",
       "2020-11-23 06:00:00-06:00         0.0         0.0  14.194061           0.0   \n",
       "2020-11-23 09:00:00-06:00         0.0         0.0  11.817474           0.0   \n",
       "2020-11-23 12:00:00-06:00         0.0         0.0  10.641937           0.0   \n",
       "2020-11-23 15:00:00-06:00         0.0         0.0  19.089325           0.0   \n",
       "2020-11-23 18:00:00-06:00         0.0         0.0  31.797333           0.0   \n",
       "2020-11-23 21:00:00-06:00         0.0         0.0  32.823792           0.0   \n",
       "2020-11-24 00:00:00-06:00         0.0         0.0  18.830475           0.0   \n",
       "\n",
       "                           wind_speed  \n",
       "2020-11-19 06:00:00-06:00    2.399530  \n",
       "2020-11-19 09:00:00-06:00    1.970925  \n",
       "2020-11-19 12:00:00-06:00    1.817859  \n",
       "2020-11-19 15:00:00-06:00    2.666429  \n",
       "2020-11-19 18:00:00-06:00    3.392803  \n",
       "2020-11-19 21:00:00-06:00    3.056468  \n",
       "2020-11-20 00:00:00-06:00    1.889027  \n",
       "2020-11-20 03:00:00-06:00    1.367353  \n",
       "2020-11-20 06:00:00-06:00    2.111623  \n",
       "2020-11-20 09:00:00-06:00    1.838104  \n",
       "2020-11-20 12:00:00-06:00    1.913280  \n",
       "2020-11-20 15:00:00-06:00    1.735924  \n",
       "2020-11-20 18:00:00-06:00    1.475284  \n",
       "2020-11-20 21:00:00-06:00    0.402275  \n",
       "2020-11-21 00:00:00-06:00    1.309368  \n",
       "2020-11-21 03:00:00-06:00    0.564473  \n",
       "2020-11-21 06:00:00-06:00    1.617670  \n",
       "2020-11-21 09:00:00-06:00    1.916622  \n",
       "2020-11-21 12:00:00-06:00    1.633263  \n",
       "2020-11-21 15:00:00-06:00    1.582226  \n",
       "2020-11-21 18:00:00-06:00    2.327213  \n",
       "2020-11-21 21:00:00-06:00    0.405940  \n",
       "2020-11-22 00:00:00-06:00    0.814953  \n",
       "2020-11-22 03:00:00-06:00    0.929286  \n",
       "2020-11-22 06:00:00-06:00    2.301536  \n",
       "2020-11-22 09:00:00-06:00    2.001537  \n",
       "2020-11-22 12:00:00-06:00    1.642161  \n",
       "2020-11-22 15:00:00-06:00    1.799937  \n",
       "2020-11-22 18:00:00-06:00    1.559971  \n",
       "2020-11-22 21:00:00-06:00    0.687259  \n",
       "2020-11-23 00:00:00-06:00    1.184598  \n",
       "2020-11-23 03:00:00-06:00    1.008482  \n",
       "2020-11-23 06:00:00-06:00    2.598326  \n",
       "2020-11-23 09:00:00-06:00    1.732415  \n",
       "2020-11-23 12:00:00-06:00    1.812828  \n",
       "2020-11-23 15:00:00-06:00    1.955396  \n",
       "2020-11-23 18:00:00-06:00    1.837103  \n",
       "2020-11-23 21:00:00-06:00    1.350403  \n",
       "2020-11-24 00:00:00-06:00    2.145065  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[sorted(data.columns)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['temp_air'].plot()\n",
    "plt.ylabel('temperature (%s)' % fm.units['temp_air']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Variables de nubosidad\n",
    "cloud_vars = ['total_clouds', 'low_clouds', 'mid_clouds', 'high_clouds']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for varname in cloud_vars:\n",
    "    data[varname].plot()\n",
    "plt.ylabel('Cloud cover' + ' %')\n",
    "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n",
    "plt.title('GFS 0.5 deg')\n",
    "plt.legend(bbox_to_anchor=(1.18,1.0));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "total_cloud_cover = data['total_clouds']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "total_cloud_cover.plot(color='r', linewidth=2)\n",
    "plt.ylabel('Total cloud cover' + ' (%s)' % fm.units['total_clouds'])\n",
    "plt.xlabel('Forecast Time ('+str(data.index.tz)+')')\n",
    "plt.title('GFS 0.5 deg');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}