{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# pvsystem tutorial"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This tutorial explores the ``pvlib.pvsystem`` module. The module has functions for importing PV module and inverter data and functions for modeling module and inverter performance.\n",
    "\n",
    "1. [systemdef](#systemdef)\n",
    "2. [Angle of Incidence Modifiers](#Angle-of-Incidence-Modifiers)\n",
    "2. [Sandia Cell Temp correction](#Sandia-Cell-Temp-correction)\n",
    "2. [Sandia Inverter Model](#snlinverter)\n",
    "2. [Sandia Array Performance Model](#SAPM)\n",
    "    1. [SAPM IV curves](#SAPM-IV-curves)\n",
    "2. [DeSoto Model](#desoto)\n",
    "2. [Single Diode Model](#Single-diode-model)\n",
    "\n",
    "This tutorial has been tested against the following package versions:\n",
    "* pvlib 0.4.5\n",
    "* Python 3.6.2\n",
    "* IPython 6.0\n",
    "* Pandas 0.20.1\n",
    "\n",
    "It should work with other Python and Pandas versions. It requires pvlib >= 0.4.0 and IPython >= 3.0.\n",
    "\n",
    "Authors:\n",
    "* Will Holmgren (@wholmgren), University of Arizona. 2015, March 2016, November 2016, May 2017."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# built-in python modules\n",
    "import os\n",
    "import inspect\n",
    "import datetime\n",
    "\n",
    "# scientific python add-ons\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# plotting stuff\n",
    "# first line makes the plots appear in the notebook\n",
    "%matplotlib inline \n",
    "import matplotlib.pyplot as plt\n",
    "# seaborn makes your plots look better\n",
    "try:\n",
    "    import seaborn as sns\n",
    "    sns.set(rc={\"figure.figsize\": (12, 6)})\n",
    "except ImportError:\n",
    "    print('We suggest you install seaborn using conda or pip and rerun this cell')\n",
    "\n",
    "# finally, we import the pvlib library\n",
    "import pvlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pvlib\n",
    "from pvlib import pvsystem"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### systemdef"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "``pvlib`` can import TMY2 and TMY3 data. Here, we import the example files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib)))\n",
    "\n",
    "tmy3_data, tmy3_metadata = pvlib.tmy.readtmy3(os.path.join(pvlib_abspath, 'data', '703165TY.csv'))\n",
    "tmy2_data, tmy2_metadata = pvlib.tmy.readtmy2(os.path.join(pvlib_abspath, 'data', '12839.tm2'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'albedo': 0.1,\n",
       " 'altitude': 7.0,\n",
       " 'latitude': 55.317,\n",
       " 'longitude': -160.517,\n",
       " 'modules_per_string': 5,\n",
       " 'name': '\"SAND POINT\"',\n",
       " 'strings_per_inverter': 5,\n",
       " 'surface_azimuth': 0,\n",
       " 'surface_tilt': 0,\n",
       " 'tz': -9.0}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pvlib.pvsystem.systemdef(tmy3_metadata, 0, 0, .1, 5, 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'albedo': 0.1,\n",
       " 'altitude': 2.0,\n",
       " 'latitude': 25.8,\n",
       " 'longitude': -80.26666666666667,\n",
       " 'modules_per_string': 5,\n",
       " 'name': 'MIAMI',\n",
       " 'strings_per_inverter': 5,\n",
       " 'surface_azimuth': 0,\n",
       " 'surface_tilt': 0,\n",
       " 'tz': -5}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pvlib.pvsystem.systemdef(tmy2_metadata, 0, 0, .1, 5, 5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Angle of Incidence Modifiers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11384a518>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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zVVVDx99NCisoyFJ5ea3VYTiKFWN+pKJOkmSEwo78efM6Tz7GPPmcOOZetRQF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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d0adcc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "angles = np.linspace(-180,180,3601)\n",
    "ashraeiam = pd.Series(pvsystem.ashraeiam(angles, .05), index=angles)\n",
    "\n",
    "ashraeiam.plot()\n",
    "plt.ylabel('ASHRAE modifier')\n",
    "plt.xlabel('input angle (deg)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/holmgren/git_repos/pvlib2/pvlib-python/pvlib/pvsystem.py:820: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ((tools.sind(thetar_deg + aoi)) ** 2) +\n",
      "/Users/holmgren/git_repos/pvlib2/pvlib-python/pvlib/pvsystem.py:822: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ((tools.tand(thetar_deg + aoi)) ** 2))))))\n",
      "/Users/holmgren/git_repos/pvlib2/pvlib-python/pvlib/pvsystem.py:836: RuntimeWarning: invalid value encountered in less\n",
      "  iam = np.where((np.abs(aoi) >= 90) | (iam < 0), np.nan, iam)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1122c30b8>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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O6jM4+/1+feELX9CSJUs+18I9l8ulRYsW9bqvtrY28fmFF16oCy+88LBfF3CS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\n8P8DD6u4CT/nj1AAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1121028d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "angles = np.linspace(-180,180,3601)\n",
    "physicaliam = pd.Series(pvsystem.physicaliam(angles), index=angles)\n",
    "\n",
    "physicaliam.plot()\n",
    "plt.ylabel('physical modifier')\n",
    "plt.xlabel('input index')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x112387da0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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F25mkrBQvHHx51H3cLpMLTp1OPJnhD6/qboIio1FwFpng+kMJXtnaQ3tzkDmt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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112387b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "ashraeiam.plot(label='ASHRAE')\n",
    "physicaliam.plot(label='physical')\n",
    "plt.ylabel('modifier')\n",
    "plt.xlabel('input angle (deg)')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Sandia Cell Temp correction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PV system efficiency can vary by up to 0.5% per degree C, so it's important to accurately model cell and module temperature. The ``sapm_celltemp`` function uses plane of array irradiance, ambient temperature, wind speed, and module and racking type to calculate cell and module temperatures. From King et. al. (2004):\n",
    "\n",
    "$$T_m = E e^{a+b*WS} + T_a$$\n",
    "\n",
    "$$T_c = T_m + \\frac{E}{E_0} \\Delta T$$\n",
    "\n",
    "The $a$, $b$, and $\\Delta T$ parameters depend on the module and racking type. The default parameter set is ``open_rack_cell_glassback``."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "``sapm_celltemp`` works with either scalar or vector inputs, but always returns a pandas DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>temp_cell</th>\n",
       "      <th>temp_module</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>43.509191</td>\n",
       "      <td>40.809191</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   temp_cell  temp_module\n",
       "0  43.509191    40.809191"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# scalar inputs\n",
    "pvsystem.sapm_celltemp(900, 5, 20) # irrad, wind, temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x112108048>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ca9CxJ/Mg18u+wNnKkZdin8ffydcEFYve1KZr40jeKS6VXDN6PN3n6RV8fCqT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\nRGrw/wGAXvDq27SZwgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11257e828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# vector inputs\n",
    "times = pd.DatetimeIndex(start='2015-01-01', end='2015-01-02', freq='12H')\n",
    "temps = pd.Series([0, 10, 5], index=times)\n",
    "irrads = pd.Series([0, 500, 0], index=times)\n",
    "winds = pd.Series([10, 5, 0], index=times)\n",
    "\n",
    "pvtemps = pvsystem.sapm_celltemp(irrads, winds, temps)\n",
    "pvtemps.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cell and module temperature as a function of wind speed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1126b0438>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LuWvdDBxOJ8/vKGbr/5ygoqHT00MTQgghhBAKePWiuqytctI8rVCv07F+cRxb71/GsrmR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\nJymqhRBCCCGE8JMU1UIIIYQQQvjp/wc8u0KYWt9z7wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112676320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wind = np.linspace(0,20,21)\n",
    "temps = pd.DataFrame(pvsystem.sapm_celltemp(900, wind, 20), index=wind)\n",
    "\n",
    "temps.plot()\n",
    "plt.legend()\n",
    "plt.xlabel('wind speed (m/s)')\n",
    "plt.ylabel('temperature (deg C)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cell and module temperature as a function of ambient temperature."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1123366a0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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nziUqKorW1tYr9w8NDZGYmDjpdTo6Jg/aMjXS0xPU/zBS/8NHvQ8v9T+8Pmj/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\nERGRIVKIFhEREREZIoVoEREREZEh+v8BomIBLOGRs1wAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1131bf940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "atemp = np.linspace(-20,50,71)\n",
    "temps = pvsystem.sapm_celltemp(900, 2, atemp).set_index(atemp)\n",
    "\n",
    "temps.plot()\n",
    "plt.legend()\n",
    "plt.xlabel('ambient temperature (deg C)')\n",
    "plt.ylabel('temperature (deg C)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cell and module temperature as a function of incident irradiance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1131a69e8>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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t046aaxERkWmmb2CYdw862VZRS3v3ICZgzcI4imxWFlljps089dgp9VIKLLks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\nbs33yEDAXAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1126b3fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "irrad = np.linspace(0,1000,101)\n",
    "temps = pvsystem.sapm_celltemp(irrad, 2, 20).set_index(irrad)\n",
    "\n",
    "temps.plot()\n",
    "plt.legend()\n",
    "plt.xlabel('incident irradiance (W/m**2)')\n",
    "plt.ylabel('temperature (deg C)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cell and module temperature for different module and racking types."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x10da69128>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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U+fPnlZeXp6efflohISGaOnWqbDabQkNDFR0dLS8vOjsAAADcl8sK85YtW1S9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\nOVgwExERERE9x38AVMGhotYBz2gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113400b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "models = ['open_rack_cell_glassback',\n",
    "          'roof_mount_cell_glassback',\n",
    "          'open_rack_cell_polymerback',\n",
    "          'insulated_back_polymerback',\n",
    "          'open_rack_polymer_thinfilm_steel',\n",
    "          '22x_concentrator_tracker']\n",
    "\n",
    "temps = pd.DataFrame(index=['temp_cell','temp_module'])\n",
    "\n",
    "for model in models:\n",
    "    temps[model] = pd.Series(pvsystem.sapm_celltemp(1000, 5, 20, model=model).iloc[0])\n",
    "\n",
    "temps.T.plot(kind='bar') # try removing the transpose operation and replotting\n",
    "plt.legend()\n",
    "plt.ylabel('temperature (deg C)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### snlinverter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_</th>\n",
       "      <th>ABB__MICRO_0_25_I_OUTD_US_240_240V__CEC_2014_</th>\n",
       "      <th>ABB__MICRO_0_3HV_I_OUTD_US_208_208V__CEC_2014_</th>\n",
       "      <th>ABB__MICRO_0_3HV_I_OUTD_US_240_240V__CEC_2014_</th>\n",
       "      <th>ABB__MICRO_0_3_I_OUTD_US_208_208V__CEC_2014_</th>\n",
       "      <th>ABB__MICRO_0_3_I_OUTD_US_240_240V__CEC_2014_</th>\n",
       "      <th>ABB__PVI_3_0_OUTD_S_US_Z_M_A__208_V__208V__CEC_2014_</th>\n",
       "      <th>ABB__PVI_3_0_OUTD_S_US_Z_M_A__240_V__240V__CEC_2014_</th>\n",
       "      <th>ABB__PVI_3_0_OUTD_S_US_Z_M_A__277_V__277V__CEC_2014_</th>\n",
       "      <th>ABB__PVI_3_6_OUTD_S_US_Z_M__208_V__208V__CEC_2014_</th>\n",
       "      <th>...</th>\n",
       "      <th>Yes!_Solar_Inc___ES5000__240V__240V__CEC_2009_</th>\n",
       "      <th>Yes!_Solar_Inc___ES5300__208V__208V__CEC_2009_</th>\n",
       "      <th>Yes!_Solar_Inc___ES5300__240V__240V__CEC_2009_</th>\n",
       "      <th>Zhejiang_Yuhui_Solar_Energy_Source__Replus_250A_240V__CEC_2012_</th>\n",
       "      <th>Zhejiang_Yuhui_Solar_Energy_Source__Replus_250B_208V__CEC_2012_</th>\n",
       "      <th>Zigor__Sunzet_2_TL_US_240V__CEC_2011_</th>\n",
       "      <th>Zigor__Sunzet_3_TL_US_240V__CEC_2011_</th>\n",
       "      <th>Zigor__Sunzet_4_TL_US_240V__CEC_2011_</th>\n",
       "      <th>Zigor__Sunzet_5_TL_US_240V__CEC_2011_</th>\n",
       "      <th>Zigor__SUNZET4_USA_240V__CEC_2011_</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Vac</th>\n",
       "      <td>208.000000</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>208.000000</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>208.000000</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>208.000000</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>277.000000</td>\n",
       "      <td>208.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>208.000000</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>2.400000e+02</td>\n",
       "      <td>208.000000</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>240.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paco</th>\n",
       "      <td>250.000000</td>\n",
       "      <td>250.000000</td>\n",
       "      <td>300.000000</td>\n",
       "      <td>300.000000</td>\n",
       "      <td>300.000000</td>\n",
       "      <td>300.000000</td>\n",
       "      <td>3000.000000</td>\n",
       "      <td>3000.000000</td>\n",
       "      <td>3000.000000</td>\n",
       "      <td>3600.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>4900.000000</td>\n",
       "      <td>4600.000000</td>\n",
       "      <td>5300.000000</td>\n",
       "      <td>2.251900e+02</td>\n",
       "      <td>213.830000</td>\n",
       "      <td>2110.000000</td>\n",
       "      <td>3180.000000</td>\n",
       "      <td>4160.000000</td>\n",
       "      <td>5240.000000</td>\n",
       "      <td>4030.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pdco</th>\n",
       "      <td>259.522050</td>\n",
       "      <td>259.552697</td>\n",
       "      <td>312.523347</td>\n",
       "      <td>312.022059</td>\n",
       "      <td>311.714554</td>\n",
       "      <td>311.504961</td>\n",
       "      <td>3147.009528</td>\n",
       "      <td>3125.758222</td>\n",
       "      <td>3110.342942</td>\n",
       "      <td>3759.288140</td>\n",
       "      <td>...</td>\n",
       "      <td>5135.584132</td>\n",
       "      <td>4829.422409</td>\n",
       "      <td>5571.180956</td>\n",
       "      <td>2.348419e+02</td>\n",
       "      <td>225.563055</td>\n",
       "      <td>2191.825129</td>\n",
       "      <td>3313.675805</td>\n",
       "      <td>4342.409314</td>\n",
       "      <td>5495.829926</td>\n",
       "      <td>4267.477069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vdco</th>\n",
       "      <td>40.242603</td>\n",
       "      <td>39.982246</td>\n",
       "      <td>45.259429</td>\n",
       "      <td>45.495009</td>\n",
       "      <td>40.227111</td>\n",
       "      <td>40.136095</td>\n",
       "      <td>313.429286</td>\n",
       "      <td>340.842937</td>\n",
       "      <td>389.986270</td>\n",
       "      <td>309.948254</td>\n",
       "      <td>...</td>\n",
       "      <td>275.000000</td>\n",
       "      <td>275.000000</td>\n",
       "      <td>274.900000</td>\n",
       "      <td>2.846843e+01</td>\n",
       "      <td>28.632617</td>\n",
       "      <td>399.207333</td>\n",
       "      <td>389.513254</td>\n",
       "      <td>388.562050</td>\n",
       "      <td>386.082539</td>\n",
       "      <td>302.851707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pso</th>\n",
       "      <td>1.771614</td>\n",
       "      <td>1.931194</td>\n",
       "      <td>1.882620</td>\n",
       "      <td>1.928591</td>\n",
       "      <td>1.971053</td>\n",
       "      <td>1.991342</td>\n",
       "      <td>18.104122</td>\n",
       "      <td>19.866112</td>\n",
       "      <td>22.720135</td>\n",
       "      <td>24.202212</td>\n",
       "      <td>...</td>\n",
       "      <td>29.358943</td>\n",
       "      <td>26.071506</td>\n",
       "      <td>28.519033</td>\n",
       "      <td>1.646711e+00</td>\n",
       "      <td>1.845029</td>\n",
       "      <td>30.843703</td>\n",
       "      <td>31.265046</td>\n",
       "      <td>31.601704</td>\n",
       "      <td>32.450808</td>\n",
       "      <td>37.372766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C0</th>\n",
       "      <td>-0.000025</td>\n",
       "      <td>-0.000027</td>\n",
       "      <td>-0.000049</td>\n",
       "      <td>-0.000035</td>\n",
       "      <td>-0.000036</td>\n",
       "      <td>-0.000031</td>\n",
       "      <td>-0.000009</td>\n",
       "      <td>-0.000007</td>\n",
       "      <td>-0.000006</td>\n",
       "      <td>-0.000005</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000006</td>\n",
       "      <td>-0.000006</td>\n",
       "      <td>-0.000006</td>\n",
       "      <td>-3.860000e-07</td>\n",
       "      <td>-0.000121</td>\n",
       "      <td>-0.000004</td>\n",
       "      <td>-0.000006</td>\n",
       "      <td>-0.000004</td>\n",
       "      <td>-0.000005</td>\n",
       "      <td>-0.000009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C1</th>\n",
       "      <td>-0.000090</td>\n",
       "      <td>-0.000158</td>\n",
       "      <td>-0.000241</td>\n",
       "      <td>-0.000228</td>\n",
       "      <td>-0.000256</td>\n",
       "      <td>-0.000289</td>\n",
       "      <td>-0.000012</td>\n",
       "      <td>-0.000025</td>\n",
       "      <td>-0.000044</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>0.000024</td>\n",
       "      <td>0.000019</td>\n",
       "      <td>-3.580000e-04</td>\n",
       "      <td>-0.000533</td>\n",
       "      <td>-0.000077</td>\n",
       "      <td>-0.000095</td>\n",
       "      <td>-0.000079</td>\n",
       "      <td>-0.000097</td>\n",
       "      <td>-0.000029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C2</th>\n",
       "      <td>0.000669</td>\n",
       "      <td>0.001480</td>\n",
       "      <td>0.000975</td>\n",
       "      <td>-0.000224</td>\n",
       "      <td>-0.000833</td>\n",
       "      <td>-0.002110</td>\n",
       "      <td>0.001620</td>\n",
       "      <td>0.001050</td>\n",
       "      <td>0.000036</td>\n",
       "      <td>0.001730</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001870</td>\n",
       "      <td>0.002620</td>\n",
       "      <td>0.001630</td>\n",
       "      <td>-1.350000e-02</td>\n",
       "      <td>0.025900</td>\n",
       "      <td>0.000502</td>\n",
       "      <td>0.000261</td>\n",
       "      <td>0.000213</td>\n",
       "      <td>-0.000251</td>\n",
       "      <td>0.002150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C3</th>\n",
       "      <td>-0.018900</td>\n",
       "      <td>-0.034600</td>\n",
       "      <td>-0.027600</td>\n",
       "      <td>-0.039600</td>\n",
       "      <td>-0.039100</td>\n",
       "      <td>-0.049500</td>\n",
       "      <td>-0.000217</td>\n",
       "      <td>-0.000471</td>\n",
       "      <td>-0.001550</td>\n",
       "      <td>0.001140</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000276</td>\n",
       "      <td>0.000468</td>\n",
       "      <td>-0.000371</td>\n",
       "      <td>-3.350684e+01</td>\n",
       "      <td>-0.066800</td>\n",
       "      <td>-0.003260</td>\n",
       "      <td>-0.001960</td>\n",
       "      <td>-0.001870</td>\n",
       "      <td>-0.002340</td>\n",
       "      <td>-0.001900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pnt</th>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1.700000e-01</td>\n",
       "      <td>0.170000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.190000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vdcmax</th>\n",
       "      <td>65.000000</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>5.500000e+01</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>600.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idcmax</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.500000</td>\n",
       "      <td>10.500000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>1.400000e+01</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>14.600000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>35.300000</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mppt_low</th>\n",
       "      <td>20.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>160.000000</td>\n",
       "      <td>160.000000</td>\n",
       "      <td>160.000000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>2.200000e+01</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>240.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mppt_high</th>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>530.000000</td>\n",
       "      <td>530.000000</td>\n",
       "      <td>530.000000</td>\n",
       "      <td>530.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>550.000000</td>\n",
       "      <td>550.000000</td>\n",
       "      <td>550.000000</td>\n",
       "      <td>4.500000e+01</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>450.000000</td>\n",
       "      <td>450.000000</td>\n",
       "      <td>450.000000</td>\n",
       "      <td>450.000000</td>\n",
       "      <td>480.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14 rows × 1799 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_  \\\n",
       "Vac                                           208.000000   \n",
       "Paco                                          250.000000   \n",
       "Pdco                                          259.522050   \n",
       "Vdco                                           40.242603   \n",
       "Pso                                             1.771614   \n",
       "C0                                             -0.000025   \n",
       "C1                                             -0.000090   \n",
       "C2                                              0.000669   \n",
       "C3                                             -0.018900   \n",
       "Pnt                                             0.020000   \n",
       "Vdcmax                                         65.000000   \n",
       "Idcmax                                         10.000000   \n",
       "Mppt_low                                       20.000000   \n",
       "Mppt_high                                      50.000000   \n",
       "\n",
       "           ABB__MICRO_0_25_I_OUTD_US_240_240V__CEC_2014_  \\\n",
       "Vac                                           240.000000   \n",
       "Paco                                          250.000000   \n",
       "Pdco                                          259.552697   \n",
       "Vdco                                           39.982246   \n",
       "Pso                                             1.931194   \n",
       "C0                                             -0.000027   \n",
       "C1                                             -0.000158   \n",
       "C2                                              0.001480   \n",
       "C3                                             -0.034600   \n",
       "Pnt                                             0.050000   \n",
       "Vdcmax                                         65.000000   \n",
       "Idcmax                                         10.000000   \n",
       "Mppt_low                                       20.000000   \n",
       "Mppt_high                                      50.000000   \n",
       "\n",
       "           ABB__MICRO_0_3HV_I_OUTD_US_208_208V__CEC_2014_  \\\n",
       "Vac                                            208.000000   \n",
       "Paco                                           300.000000   \n",
       "Pdco                                           312.523347   \n",
       "Vdco                                            45.259429   \n",
       "Pso                                              1.882620   \n",
       "C0                                              -0.000049   \n",
       "C1                                              -0.000241   \n",
       "C2                                               0.000975   \n",
       "C3                                              -0.027600   \n",
       "Pnt                                              0.060000   \n",
       "Vdcmax                                          79.000000   \n",
       "Idcmax                                          10.500000   \n",
       "Mppt_low                                        30.000000   \n",
       "Mppt_high                                       75.000000   \n",
       "\n",
       "           ABB__MICRO_0_3HV_I_OUTD_US_240_240V__CEC_2014_  \\\n",
       "Vac                                            240.000000   \n",
       "Paco                                           300.000000   \n",
       "Pdco                                           312.022059   \n",
       "Vdco                                            45.495009   \n",
       "Pso                                              1.928591   \n",
       "C0                                              -0.000035   \n",
       "C1                                              -0.000228   \n",
       "C2                                              -0.000224   \n",
       "C3                                              -0.039600   \n",
       "Pnt                                              0.060000   \n",
       "Vdcmax                                          79.000000   \n",
       "Idcmax                                          10.500000   \n",
       "Mppt_low                                        30.000000   \n",
       "Mppt_high                                       75.000000   \n",
       "\n",
       "           ABB__MICRO_0_3_I_OUTD_US_208_208V__CEC_2014_  \\\n",
       "Vac                                          208.000000   \n",
       "Paco                                         300.000000   \n",
       "Pdco                                         311.714554   \n",
       "Vdco                                          40.227111   \n",
       "Pso                                            1.971053   \n",
       "C0                                            -0.000036   \n",
       "C1                                            -0.000256   \n",
       "C2                                            -0.000833   \n",
       "C3                                            -0.039100   \n",
       "Pnt                                            0.020000   \n",
       "Vdcmax                                        65.000000   \n",
       "Idcmax                                        10.000000   \n",
       "Mppt_low                                      30.000000   \n",
       "Mppt_high                                     50.000000   \n",
       "\n",
       "           ABB__MICRO_0_3_I_OUTD_US_240_240V__CEC_2014_  \\\n",
       "Vac                                          240.000000   \n",
       "Paco                                         300.000000   \n",
       "Pdco                                         311.504961   \n",
       "Vdco                                          40.136095   \n",
       "Pso                                            1.991342   \n",
       "C0                                            -0.000031   \n",
       "C1                                            -0.000289   \n",
       "C2                                            -0.002110   \n",
       "C3                                            -0.049500   \n",
       "Pnt                                            0.050000   \n",
       "Vdcmax                                        65.000000   \n",
       "Idcmax                                        10.000000   \n",
       "Mppt_low                                      30.000000   \n",
       "Mppt_high                                     50.000000   \n",
       "\n",
       "           ABB__PVI_3_0_OUTD_S_US_Z_M_A__208_V__208V__CEC_2014_  \\\n",
       "Vac                                               208.000000      \n",
       "Paco                                             3000.000000      \n",
       "Pdco                                             3147.009528      \n",
       "Vdco                                              313.429286      \n",
       "Pso                                                18.104122      \n",
       "C0                                                 -0.000009      \n",
       "C1                                                 -0.000012      \n",
       "C2                                                  0.001620      \n",
       "C3                                                 -0.000217      \n",
       "Pnt                                                 0.100000      \n",
       "Vdcmax                                            600.000000      \n",
       "Idcmax                                             20.000000      \n",
       "Mppt_low                                          160.000000      \n",
       "Mppt_high                                         530.000000      \n",
       "\n",
       "           ABB__PVI_3_0_OUTD_S_US_Z_M_A__240_V__240V__CEC_2014_  \\\n",
       "Vac                                               240.000000      \n",
       "Paco                                             3000.000000      \n",
       "Pdco                                             3125.758222      \n",
       "Vdco                                              340.842937      \n",
       "Pso                                                19.866112      \n",
       "C0                                                 -0.000007      \n",
       "C1                                                 -0.000025      \n",
       "C2                                                  0.001050      \n",
       "C3                                                 -0.000471      \n",
       "Pnt                                                 0.100000      \n",
       "Vdcmax                                            600.000000      \n",
       "Idcmax                                             20.000000      \n",
       "Mppt_low                                          160.000000      \n",
       "Mppt_high                                         530.000000      \n",
       "\n",
       "           ABB__PVI_3_0_OUTD_S_US_Z_M_A__277_V__277V__CEC_2014_  \\\n",
       "Vac                                               277.000000      \n",
       "Paco                                             3000.000000      \n",
       "Pdco                                             3110.342942      \n",
       "Vdco                                              389.986270      \n",
       "Pso                                                22.720135      \n",
       "C0                                                 -0.000006      \n",
       "C1                                                 -0.000044      \n",
       "C2                                                  0.000036      \n",
       "C3                                                 -0.001550      \n",
       "Pnt                                                 0.200000      \n",
       "Vdcmax                                            600.000000      \n",
       "Idcmax                                             20.000000      \n",
       "Mppt_low                                          160.000000      \n",
       "Mppt_high                                         530.000000      \n",
       "\n",
       "           ABB__PVI_3_6_OUTD_S_US_Z_M__208_V__208V__CEC_2014_  \\\n",
       "Vac                                               208.000000    \n",
       "Paco                                             3600.000000    \n",
       "Pdco                                             3759.288140    \n",
       "Vdco                                              309.948254    \n",
       "Pso                                                24.202212    \n",
       "C0                                                 -0.000005    \n",
       "C1                                                  0.000002    \n",
       "C2                                                  0.001730    \n",
       "C3                                                  0.001140    \n",
       "Pnt                                                 0.100000    \n",
       "Vdcmax                                            600.000000    \n",
       "Idcmax                                             32.000000    \n",
       "Mppt_low                                          120.000000    \n",
       "Mppt_high                                         530.000000    \n",
       "\n",
       "                          ...                  \\\n",
       "Vac                       ...                   \n",
       "Paco                      ...                   \n",
       "Pdco                      ...                   \n",
       "Vdco                      ...                   \n",
       "Pso                       ...                   \n",
       "C0                        ...                   \n",
       "C1                        ...                   \n",
       "C2                        ...                   \n",
       "C3                        ...                   \n",
       "Pnt                       ...                   \n",
       "Vdcmax                    ...                   \n",
       "Idcmax                    ...                   \n",
       "Mppt_low                  ...                   \n",
       "Mppt_high                 ...                   \n",
       "\n",
       "           Yes!_Solar_Inc___ES5000__240V__240V__CEC_2009_  \\\n",
       "Vac                                            240.000000   \n",
       "Paco                                          4900.000000   \n",
       "Pdco                                          5135.584132   \n",
       "Vdco                                           275.000000   \n",
       "Pso                                             29.358943   \n",
       "C0                                              -0.000006   \n",
       "C1                                               0.000020   \n",
       "C2                                               0.001870   \n",
       "C3                                              -0.000276   \n",
       "Pnt                                              0.500000   \n",
       "Vdcmax                                         600.000000   \n",
       "Idcmax                                          25.000000   \n",
       "Mppt_low                                       200.000000   \n",
       "Mppt_high                                      550.000000   \n",
       "\n",
       "           Yes!_Solar_Inc___ES5300__208V__208V__CEC_2009_  \\\n",
       "Vac                                            208.000000   \n",
       "Paco                                          4600.000000   \n",
       "Pdco                                          4829.422409   \n",
       "Vdco                                           275.000000   \n",
       "Pso                                             26.071506   \n",
       "C0                                              -0.000006   \n",
       "C1                                               0.000024   \n",
       "C2                                               0.002620   \n",
       "C3                                               0.000468   \n",
       "Pnt                                              0.500000   \n",
       "Vdcmax                                         600.000000   \n",
       "Idcmax                                          25.000000   \n",
       "Mppt_low                                       200.000000   \n",
       "Mppt_high                                      550.000000   \n",
       "\n",
       "           Yes!_Solar_Inc___ES5300__240V__240V__CEC_2009_  \\\n",
       "Vac                                            240.000000   \n",
       "Paco                                          5300.000000   \n",
       "Pdco                                          5571.180956   \n",
       "Vdco                                           274.900000   \n",
       "Pso                                             28.519033   \n",
       "C0                                              -0.000006   \n",
       "C1                                               0.000019   \n",
       "C2                                               0.001630   \n",
       "C3                                              -0.000371   \n",
       "Pnt                                              0.500000   \n",
       "Vdcmax                                         600.000000   \n",
       "Idcmax                                          25.000000   \n",
       "Mppt_low                                       200.000000   \n",
       "Mppt_high                                      550.000000   \n",
       "\n",
       "           Zhejiang_Yuhui_Solar_Energy_Source__Replus_250A_240V__CEC_2012_  \\\n",
       "Vac                                             2.400000e+02                 \n",
       "Paco                                            2.251900e+02                 \n",
       "Pdco                                            2.348419e+02                 \n",
       "Vdco                                            2.846843e+01                 \n",
       "Pso                                             1.646711e+00                 \n",
       "C0                                             -3.860000e-07                 \n",
       "C1                                             -3.580000e-04                 \n",
       "C2                                             -1.350000e-02                 \n",
       "C3                                             -3.350684e+01                 \n",
       "Pnt                                             1.700000e-01                 \n",
       "Vdcmax                                          5.500000e+01                 \n",
       "Idcmax                                          1.400000e+01                 \n",
       "Mppt_low                                        2.200000e+01                 \n",
       "Mppt_high                                       4.500000e+01                 \n",
       "\n",
       "           Zhejiang_Yuhui_Solar_Energy_Source__Replus_250B_208V__CEC_2012_  \\\n",
       "Vac                                               208.000000                 \n",
       "Paco                                              213.830000                 \n",
       "Pdco                                              225.563055                 \n",
       "Vdco                                               28.632617                 \n",
       "Pso                                                 1.845029                 \n",
       "C0                                                 -0.000121                 \n",
       "C1                                                 -0.000533                 \n",
       "C2                                                  0.025900                 \n",
       "C3                                                 -0.066800                 \n",
       "Pnt                                                 0.170000                 \n",
       "Vdcmax                                             55.000000                 \n",
       "Idcmax                                             14.000000                 \n",
       "Mppt_low                                           22.000000                 \n",
       "Mppt_high                                          45.000000                 \n",
       "\n",
       "           Zigor__Sunzet_2_TL_US_240V__CEC_2011_  \\\n",
       "Vac                                   240.000000   \n",
       "Paco                                 2110.000000   \n",
       "Pdco                                 2191.825129   \n",
       "Vdco                                  399.207333   \n",
       "Pso                                    30.843703   \n",
       "C0                                     -0.000004   \n",
       "C1                                     -0.000077   \n",
       "C2                                      0.000502   \n",
       "C3                                     -0.003260   \n",
       "Pnt                                     0.250000   \n",
       "Vdcmax                                500.000000   \n",
       "Idcmax                                 14.600000   \n",
       "Mppt_low                              150.000000   \n",
       "Mppt_high                             450.000000   \n",
       "\n",
       "           Zigor__Sunzet_3_TL_US_240V__CEC_2011_  \\\n",
       "Vac                                   240.000000   \n",
       "Paco                                 3180.000000   \n",
       "Pdco                                 3313.675805   \n",
       "Vdco                                  389.513254   \n",
       "Pso                                    31.265046   \n",
       "C0                                     -0.000006   \n",
       "C1                                     -0.000095   \n",
       "C2                                      0.000261   \n",
       "C3                                     -0.001960   \n",
       "Pnt                                     0.250000   \n",
       "Vdcmax                                500.000000   \n",
       "Idcmax                                 22.000000   \n",
       "Mppt_low                              150.000000   \n",
       "Mppt_high                             450.000000   \n",
       "\n",
       "           Zigor__Sunzet_4_TL_US_240V__CEC_2011_  \\\n",
       "Vac                                   240.000000   \n",
       "Paco                                 4160.000000   \n",
       "Pdco                                 4342.409314   \n",
       "Vdco                                  388.562050   \n",
       "Pso                                    31.601704   \n",
       "C0                                     -0.000004   \n",
       "C1                                     -0.000079   \n",
       "C2                                      0.000213   \n",
       "C3                                     -0.001870   \n",
       "Pnt                                     0.200000   \n",
       "Vdcmax                                500.000000   \n",
       "Idcmax                                 28.000000   \n",
       "Mppt_low                              150.000000   \n",
       "Mppt_high                             450.000000   \n",
       "\n",
       "           Zigor__Sunzet_5_TL_US_240V__CEC_2011_  \\\n",
       "Vac                                   240.000000   \n",
       "Paco                                 5240.000000   \n",
       "Pdco                                 5495.829926   \n",
       "Vdco                                  386.082539   \n",
       "Pso                                    32.450808   \n",
       "C0                                     -0.000005   \n",
       "C1                                     -0.000097   \n",
       "C2                                     -0.000251   \n",
       "C3                                     -0.002340   \n",
       "Pnt                                     0.200000   \n",
       "Vdcmax                                500.000000   \n",
       "Idcmax                                 35.300000   \n",
       "Mppt_low                              150.000000   \n",
       "Mppt_high                             450.000000   \n",
       "\n",
       "           Zigor__SUNZET4_USA_240V__CEC_2011_  \n",
       "Vac                                240.000000  \n",
       "Paco                              4030.000000  \n",
       "Pdco                              4267.477069  \n",
       "Vdco                               302.851707  \n",
       "Pso                                 37.372766  \n",
       "C0                                  -0.000009  \n",
       "C1                                  -0.000029  \n",
       "C2                                   0.002150  \n",
       "C3                                  -0.001900  \n",
       "Pnt                                  0.190000  \n",
       "Vdcmax                             600.000000  \n",
       "Idcmax                              20.000000  \n",
       "Mppt_low                           240.000000  \n",
       "Mppt_high                          480.000000  \n",
       "\n",
       "[14 rows x 1799 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inverters = pvsystem.retrieve_sam('sandiainverter')\n",
    "inverters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1135f6f60>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vXn75Zb388suSpL//+7/XM888o5/97GeaPXu2Nm/eLJvNpqKiIj388MMKhULauXPnRMwB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\nREREJEwaokVEREREwqQhWkREREQkTP8B+JvaZcq79WYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1134065c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vdcs = pd.Series(np.linspace(0,50,51))\n",
    "idcs = pd.Series(np.linspace(0,11,110))\n",
    "pdcs = idcs * vdcs\n",
    "\n",
    "pacs = pvsystem.snlinverter(vdcs, pdcs, inverters['ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_'])\n",
    "#pacs.plot()\n",
    "plt.plot(pacs, pdcs)\n",
    "plt.ylabel('ac power')\n",
    "plt.xlabel('dc power')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Need to put more effort into describing this function."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SAPM"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The CEC module database."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BEoptCA_Default_Module</th>\n",
       "      <th>Example_Module</th>\n",
       "      <th>1Soltech_1STH_215_P</th>\n",
       "      <th>1Soltech_1STH_220_P</th>\n",
       "      <th>1Soltech_1STH_225_P</th>\n",
       "      <th>1Soltech_1STH_230_P</th>\n",
       "      <th>1Soltech_1STH_235_WH</th>\n",
       "      <th>1Soltech_1STH_240_WH</th>\n",
       "      <th>1Soltech_1STH_245_WH</th>\n",
       "      <th>1Soltech_1STH_FRL_4H_245_M60_BLK</th>\n",
       "      <th>...</th>\n",
       "      <th>Zytech_Solar_ZT275P</th>\n",
       "      <th>Zytech_Solar_ZT280P</th>\n",
       "      <th>Zytech_Solar_ZT285P</th>\n",
       "      <th>Zytech_Solar_ZT290P</th>\n",
       "      <th>Zytech_Solar_ZT295P</th>\n",
       "      <th>Zytech_Solar_ZT300P</th>\n",
       "      <th>Zytech_Solar_ZT305P</th>\n",
       "      <th>Zytech_Solar_ZT310P</th>\n",
       "      <th>Zytech_Solar_ZT315P</th>\n",
       "      <th>Zytech_Solar_ZT320P</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BIPV</th>\n",
       "      <td>Y</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>...</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <td>12/17/2008</td>\n",
       "      <td>4/28/2008</td>\n",
       "      <td>10/7/2010</td>\n",
       "      <td>10/4/2010</td>\n",
       "      <td>10/4/2010</td>\n",
       "      <td>10/4/2010</td>\n",
       "      <td>3/4/2010</td>\n",
       "      <td>3/4/2010</td>\n",
       "      <td>3/4/2010</td>\n",
       "      <td>1/14/2013</td>\n",
       "      <td>...</td>\n",
       "      <td>12/23/2014</td>\n",
       "      <td>12/23/2014</td>\n",
       "      <td>12/23/2014</td>\n",
       "      <td>12/23/2014</td>\n",
       "      <td>12/23/2014</td>\n",
       "      <td>12/23/2014</td>\n",
       "      <td>12/23/2014</td>\n",
       "      <td>12/23/2014</td>\n",
       "      <td>12/23/2014</td>\n",
       "      <td>12/23/2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>T_NOCT</th>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>47.4</td>\n",
       "      <td>47.4</td>\n",
       "      <td>47.4</td>\n",
       "      <td>47.4</td>\n",
       "      <td>49.9</td>\n",
       "      <td>49.9</td>\n",
       "      <td>49.9</td>\n",
       "      <td>48.3</td>\n",
       "      <td>...</td>\n",
       "      <td>46.4</td>\n",
       "      <td>46.4</td>\n",
       "      <td>46.4</td>\n",
       "      <td>46.4</td>\n",
       "      <td>46.4</td>\n",
       "      <td>46.4</td>\n",
       "      <td>46.4</td>\n",
       "      <td>46.4</td>\n",
       "      <td>46.4</td>\n",
       "      <td>46.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A_c</th>\n",
       "      <td>0.67</td>\n",
       "      <td>0.67</td>\n",
       "      <td>1.567</td>\n",
       "      <td>1.567</td>\n",
       "      <td>1.567</td>\n",
       "      <td>1.567</td>\n",
       "      <td>1.635</td>\n",
       "      <td>1.635</td>\n",
       "      <td>1.635</td>\n",
       "      <td>1.668</td>\n",
       "      <td>...</td>\n",
       "      <td>1.931</td>\n",
       "      <td>1.931</td>\n",
       "      <td>1.931</td>\n",
       "      <td>1.931</td>\n",
       "      <td>1.931</td>\n",
       "      <td>1.931</td>\n",
       "      <td>1.931</td>\n",
       "      <td>1.931</td>\n",
       "      <td>1.931</td>\n",
       "      <td>1.931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>N_s</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>...</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I_sc_ref</th>\n",
       "      <td>7.5</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.84</td>\n",
       "      <td>7.97</td>\n",
       "      <td>8.09</td>\n",
       "      <td>8.18</td>\n",
       "      <td>8.54</td>\n",
       "      <td>8.58</td>\n",
       "      <td>8.62</td>\n",
       "      <td>8.81</td>\n",
       "      <td>...</td>\n",
       "      <td>8.31</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.48</td>\n",
       "      <td>8.55</td>\n",
       "      <td>8.64</td>\n",
       "      <td>8.71</td>\n",
       "      <td>8.87</td>\n",
       "      <td>8.9</td>\n",
       "      <td>9.01</td>\n",
       "      <td>9.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V_oc_ref</th>\n",
       "      <td>10.4</td>\n",
       "      <td>10.4</td>\n",
       "      <td>36.3</td>\n",
       "      <td>36.6</td>\n",
       "      <td>36.9</td>\n",
       "      <td>37.1</td>\n",
       "      <td>37</td>\n",
       "      <td>37.1</td>\n",
       "      <td>37.2</td>\n",
       "      <td>38.3</td>\n",
       "      <td>...</td>\n",
       "      <td>45.1</td>\n",
       "      <td>45.25</td>\n",
       "      <td>45.43</td>\n",
       "      <td>45.59</td>\n",
       "      <td>45.75</td>\n",
       "      <td>45.96</td>\n",
       "      <td>46.12</td>\n",
       "      <td>46.28</td>\n",
       "      <td>46.44</td>\n",
       "      <td>46.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I_mp_ref</th>\n",
       "      <td>6.6</td>\n",
       "      <td>6.6</td>\n",
       "      <td>7.35</td>\n",
       "      <td>7.47</td>\n",
       "      <td>7.58</td>\n",
       "      <td>7.65</td>\n",
       "      <td>8.02</td>\n",
       "      <td>8.07</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.06</td>\n",
       "      <td>...</td>\n",
       "      <td>7.76</td>\n",
       "      <td>7.87</td>\n",
       "      <td>7.97</td>\n",
       "      <td>8.07</td>\n",
       "      <td>8.16</td>\n",
       "      <td>8.26</td>\n",
       "      <td>8.36</td>\n",
       "      <td>8.46</td>\n",
       "      <td>8.56</td>\n",
       "      <td>8.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V_mp_ref</th>\n",
       "      <td>8.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>29</td>\n",
       "      <td>29.3</td>\n",
       "      <td>29.6</td>\n",
       "      <td>29.9</td>\n",
       "      <td>29.3</td>\n",
       "      <td>29.7</td>\n",
       "      <td>30.2</td>\n",
       "      <td>30.2</td>\n",
       "      <td>...</td>\n",
       "      <td>35.44</td>\n",
       "      <td>35.62</td>\n",
       "      <td>35.8</td>\n",
       "      <td>35.94</td>\n",
       "      <td>36.16</td>\n",
       "      <td>36.32</td>\n",
       "      <td>36.49</td>\n",
       "      <td>36.66</td>\n",
       "      <td>36.81</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alpha_sc</th>\n",
       "      <td>0.003</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.007997</td>\n",
       "      <td>0.008129</td>\n",
       "      <td>0.008252</td>\n",
       "      <td>0.008344</td>\n",
       "      <td>0.00743</td>\n",
       "      <td>0.007465</td>\n",
       "      <td>0.007499</td>\n",
       "      <td>0.006167</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004014</td>\n",
       "      <td>0.004057</td>\n",
       "      <td>0.004096</td>\n",
       "      <td>0.00413</td>\n",
       "      <td>0.004173</td>\n",
       "      <td>0.004207</td>\n",
       "      <td>0.004284</td>\n",
       "      <td>0.004299</td>\n",
       "      <td>0.004352</td>\n",
       "      <td>0.004405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta_oc</th>\n",
       "      <td>-0.04</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>-0.13104</td>\n",
       "      <td>-0.13213</td>\n",
       "      <td>-0.13321</td>\n",
       "      <td>-0.13393</td>\n",
       "      <td>-0.13653</td>\n",
       "      <td>-0.1369</td>\n",
       "      <td>-0.13727</td>\n",
       "      <td>-0.13635</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.14428</td>\n",
       "      <td>-0.14476</td>\n",
       "      <td>-0.14533</td>\n",
       "      <td>-0.14584</td>\n",
       "      <td>-0.14635</td>\n",
       "      <td>-0.14703</td>\n",
       "      <td>-0.14754</td>\n",
       "      <td>-0.14805</td>\n",
       "      <td>-0.14856</td>\n",
       "      <td>-0.14907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a_ref</th>\n",
       "      <td>0.473</td>\n",
       "      <td>0.473</td>\n",
       "      <td>1.6413</td>\n",
       "      <td>1.6572</td>\n",
       "      <td>1.6732</td>\n",
       "      <td>1.6888</td>\n",
       "      <td>1.6292</td>\n",
       "      <td>1.6425</td>\n",
       "      <td>1.6617</td>\n",
       "      <td>1.6351</td>\n",
       "      <td>...</td>\n",
       "      <td>1.8102</td>\n",
       "      <td>1.8147</td>\n",
       "      <td>1.82</td>\n",
       "      <td>1.8227</td>\n",
       "      <td>1.8311</td>\n",
       "      <td>1.8443</td>\n",
       "      <td>1.849</td>\n",
       "      <td>1.8573</td>\n",
       "      <td>1.8649</td>\n",
       "      <td>1.8737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I_L_ref</th>\n",
       "      <td>7.545</td>\n",
       "      <td>7.545</td>\n",
       "      <td>7.843</td>\n",
       "      <td>7.974</td>\n",
       "      <td>8.094</td>\n",
       "      <td>8.185</td>\n",
       "      <td>8.543</td>\n",
       "      <td>8.582</td>\n",
       "      <td>8.623</td>\n",
       "      <td>8.844</td>\n",
       "      <td>...</td>\n",
       "      <td>8.324</td>\n",
       "      <td>8.41</td>\n",
       "      <td>8.487</td>\n",
       "      <td>8.552</td>\n",
       "      <td>8.642</td>\n",
       "      <td>8.805</td>\n",
       "      <td>8.874</td>\n",
       "      <td>8.995</td>\n",
       "      <td>9.107</td>\n",
       "      <td>9.218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I_o_ref</th>\n",
       "      <td>1.943e-09</td>\n",
       "      <td>1.943e-09</td>\n",
       "      <td>1.936e-09</td>\n",
       "      <td>2.03e-09</td>\n",
       "      <td>2.126e-09</td>\n",
       "      <td>2.332e-09</td>\n",
       "      <td>1.166e-09</td>\n",
       "      <td>1.325e-09</td>\n",
       "      <td>1.623e-09</td>\n",
       "      <td>5.7e-10</td>\n",
       "      <td>...</td>\n",
       "      <td>1.24e-10</td>\n",
       "      <td>1.23e-10</td>\n",
       "      <td>1.22e-10</td>\n",
       "      <td>1.17e-10</td>\n",
       "      <td>1.22e-10</td>\n",
       "      <td>1.31e-10</td>\n",
       "      <td>1.3e-10</td>\n",
       "      <td>1.35e-10</td>\n",
       "      <td>1.38e-10</td>\n",
       "      <td>1.44e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R_s</th>\n",
       "      <td>0.094</td>\n",
       "      <td>0.094</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.346</td>\n",
       "      <td>0.334</td>\n",
       "      <td>0.311</td>\n",
       "      <td>0.383</td>\n",
       "      <td>0.335</td>\n",
       "      <td>0.272</td>\n",
       "      <td>0.421</td>\n",
       "      <td>...</td>\n",
       "      <td>0.567</td>\n",
       "      <td>0.553</td>\n",
       "      <td>0.544</td>\n",
       "      <td>0.539</td>\n",
       "      <td>0.521</td>\n",
       "      <td>0.516</td>\n",
       "      <td>0.507</td>\n",
       "      <td>0.496</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R_sh_ref</th>\n",
       "      <td>15.72</td>\n",
       "      <td>15.72</td>\n",
       "      <td>839.4</td>\n",
       "      <td>751.03</td>\n",
       "      <td>670.65</td>\n",
       "      <td>462.56</td>\n",
       "      <td>1257.84</td>\n",
       "      <td>1463.82</td>\n",
       "      <td>724.06</td>\n",
       "      <td>109.31</td>\n",
       "      <td>...</td>\n",
       "      <td>341.66</td>\n",
       "      <td>457.29</td>\n",
       "      <td>687.16</td>\n",
       "      <td>2344.16</td>\n",
       "      <td>2910.76</td>\n",
       "      <td>552.2</td>\n",
       "      <td>1118.01</td>\n",
       "      <td>767.45</td>\n",
       "      <td>681.89</td>\n",
       "      <td>603.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adjust</th>\n",
       "      <td>10.6</td>\n",
       "      <td>10.6</td>\n",
       "      <td>16.5</td>\n",
       "      <td>16.8</td>\n",
       "      <td>17.1</td>\n",
       "      <td>17.9</td>\n",
       "      <td>8.7</td>\n",
       "      <td>9.8</td>\n",
       "      <td>11.6</td>\n",
       "      <td>6.502</td>\n",
       "      <td>...</td>\n",
       "      <td>5.554</td>\n",
       "      <td>5.406</td>\n",
       "      <td>5.197</td>\n",
       "      <td>4.792</td>\n",
       "      <td>5.033</td>\n",
       "      <td>5.548</td>\n",
       "      <td>5.373</td>\n",
       "      <td>5.578</td>\n",
       "      <td>5.711</td>\n",
       "      <td>5.971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gamma_r</th>\n",
       "      <td>-0.5</td>\n",
       "      <td>-0.5</td>\n",
       "      <td>-0.495</td>\n",
       "      <td>-0.495</td>\n",
       "      <td>-0.495</td>\n",
       "      <td>-0.495</td>\n",
       "      <td>-0.482</td>\n",
       "      <td>-0.482</td>\n",
       "      <td>-0.482</td>\n",
       "      <td>-0.453</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.431</td>\n",
       "      <td>-0.431</td>\n",
       "      <td>-0.431</td>\n",
       "      <td>-0.431</td>\n",
       "      <td>-0.431</td>\n",
       "      <td>-0.431</td>\n",
       "      <td>-0.431</td>\n",
       "      <td>-0.431</td>\n",
       "      <td>-0.431</td>\n",
       "      <td>-0.431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Version</th>\n",
       "      <td>MM106</td>\n",
       "      <td>MM105</td>\n",
       "      <td>MM107</td>\n",
       "      <td>MM107</td>\n",
       "      <td>MM107</td>\n",
       "      <td>MM107</td>\n",
       "      <td>MM107</td>\n",
       "      <td>MM107</td>\n",
       "      <td>MM107</td>\n",
       "      <td>NRELv1</td>\n",
       "      <td>...</td>\n",
       "      <td>NRELv1</td>\n",
       "      <td>NRELv1</td>\n",
       "      <td>NRELv1</td>\n",
       "      <td>NRELv1</td>\n",
       "      <td>NRELv1</td>\n",
       "      <td>NRELv1</td>\n",
       "      <td>NRELv1</td>\n",
       "      <td>NRELv1</td>\n",
       "      <td>NRELv1</td>\n",
       "      <td>NRELv1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PTC</th>\n",
       "      <td>48.9</td>\n",
       "      <td>48.9</td>\n",
       "      <td>189.4</td>\n",
       "      <td>194</td>\n",
       "      <td>198.5</td>\n",
       "      <td>203.1</td>\n",
       "      <td>205.1</td>\n",
       "      <td>209.6</td>\n",
       "      <td>214.1</td>\n",
       "      <td>217.7</td>\n",
       "      <td>...</td>\n",
       "      <td>248</td>\n",
       "      <td>252.6</td>\n",
       "      <td>257.3</td>\n",
       "      <td>261.9</td>\n",
       "      <td>266.5</td>\n",
       "      <td>271.2</td>\n",
       "      <td>275.8</td>\n",
       "      <td>280.5</td>\n",
       "      <td>285.1</td>\n",
       "      <td>289.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Technology</th>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>Mono-c-Si</td>\n",
       "      <td>Mono-c-Si</td>\n",
       "      <td>Mono-c-Si</td>\n",
       "      <td>Mono-c-Si</td>\n",
       "      <td>...</td>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>Multi-c-Si</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21 rows × 13953 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           BEoptCA_Default_Module Example_Module 1Soltech_1STH_215_P  \\\n",
       "BIPV                            Y              Y                   N   \n",
       "Date                   12/17/2008      4/28/2008           10/7/2010   \n",
       "T_NOCT                         65             65                47.4   \n",
       "A_c                          0.67           0.67               1.567   \n",
       "N_s                            18             18                  60   \n",
       "I_sc_ref                      7.5            7.5                7.84   \n",
       "V_oc_ref                     10.4           10.4                36.3   \n",
       "I_mp_ref                      6.6            6.6                7.35   \n",
       "V_mp_ref                      8.4            8.4                  29   \n",
       "alpha_sc                    0.003          0.003            0.007997   \n",
       "beta_oc                     -0.04          -0.04            -0.13104   \n",
       "a_ref                       0.473          0.473              1.6413   \n",
       "I_L_ref                     7.545          7.545               7.843   \n",
       "I_o_ref                 1.943e-09      1.943e-09           1.936e-09   \n",
       "R_s                         0.094          0.094               0.359   \n",
       "R_sh_ref                    15.72          15.72               839.4   \n",
       "Adjust                       10.6           10.6                16.5   \n",
       "gamma_r                      -0.5           -0.5              -0.495   \n",
       "Version                     MM106          MM105               MM107   \n",
       "PTC                          48.9           48.9               189.4   \n",
       "Technology             Multi-c-Si     Multi-c-Si          Multi-c-Si   \n",
       "\n",
       "           1Soltech_1STH_220_P 1Soltech_1STH_225_P 1Soltech_1STH_230_P  \\\n",
       "BIPV                         N                   N                   N   \n",
       "Date                 10/4/2010           10/4/2010           10/4/2010   \n",
       "T_NOCT                    47.4                47.4                47.4   \n",
       "A_c                      1.567               1.567               1.567   \n",
       "N_s                         60                  60                  60   \n",
       "I_sc_ref                  7.97                8.09                8.18   \n",
       "V_oc_ref                  36.6                36.9                37.1   \n",
       "I_mp_ref                  7.47                7.58                7.65   \n",
       "V_mp_ref                  29.3                29.6                29.9   \n",
       "alpha_sc              0.008129            0.008252            0.008344   \n",
       "beta_oc               -0.13213            -0.13321            -0.13393   \n",
       "a_ref                   1.6572              1.6732              1.6888   \n",
       "I_L_ref                  7.974               8.094               8.185   \n",
       "I_o_ref               2.03e-09           2.126e-09           2.332e-09   \n",
       "R_s                      0.346               0.334               0.311   \n",
       "R_sh_ref                751.03              670.65              462.56   \n",
       "Adjust                    16.8                17.1                17.9   \n",
       "gamma_r                 -0.495              -0.495              -0.495   \n",
       "Version                  MM107               MM107               MM107   \n",
       "PTC                        194               198.5               203.1   \n",
       "Technology          Multi-c-Si          Multi-c-Si          Multi-c-Si   \n",
       "\n",
       "           1Soltech_1STH_235_WH 1Soltech_1STH_240_WH 1Soltech_1STH_245_WH  \\\n",
       "BIPV                          N                    N                    N   \n",
       "Date                   3/4/2010             3/4/2010             3/4/2010   \n",
       "T_NOCT                     49.9                 49.9                 49.9   \n",
       "A_c                       1.635                1.635                1.635   \n",
       "N_s                          60                   60                   60   \n",
       "I_sc_ref                   8.54                 8.58                 8.62   \n",
       "V_oc_ref                     37                 37.1                 37.2   \n",
       "I_mp_ref                   8.02                 8.07                  8.1   \n",
       "V_mp_ref                   29.3                 29.7                 30.2   \n",
       "alpha_sc                0.00743             0.007465             0.007499   \n",
       "beta_oc                -0.13653              -0.1369             -0.13727   \n",
       "a_ref                    1.6292               1.6425               1.6617   \n",
       "I_L_ref                   8.543                8.582                8.623   \n",
       "I_o_ref               1.166e-09            1.325e-09            1.623e-09   \n",
       "R_s                       0.383                0.335                0.272   \n",
       "R_sh_ref                1257.84              1463.82               724.06   \n",
       "Adjust                      8.7                  9.8                 11.6   \n",
       "gamma_r                  -0.482               -0.482               -0.482   \n",
       "Version                   MM107                MM107                MM107   \n",
       "PTC                       205.1                209.6                214.1   \n",
       "Technology            Mono-c-Si            Mono-c-Si            Mono-c-Si   \n",
       "\n",
       "           1Soltech_1STH_FRL_4H_245_M60_BLK         ...          \\\n",
       "BIPV                                      N         ...           \n",
       "Date                              1/14/2013         ...           \n",
       "T_NOCT                                 48.3         ...           \n",
       "A_c                                   1.668         ...           \n",
       "N_s                                      60         ...           \n",
       "I_sc_ref                               8.81         ...           \n",
       "V_oc_ref                               38.3         ...           \n",
       "I_mp_ref                               8.06         ...           \n",
       "V_mp_ref                               30.2         ...           \n",
       "alpha_sc                           0.006167         ...           \n",
       "beta_oc                            -0.13635         ...           \n",
       "a_ref                                1.6351         ...           \n",
       "I_L_ref                               8.844         ...           \n",
       "I_o_ref                             5.7e-10         ...           \n",
       "R_s                                   0.421         ...           \n",
       "R_sh_ref                             109.31         ...           \n",
       "Adjust                                6.502         ...           \n",
       "gamma_r                              -0.453         ...           \n",
       "Version                              NRELv1         ...           \n",
       "PTC                                   217.7         ...           \n",
       "Technology                        Mono-c-Si         ...           \n",
       "\n",
       "           Zytech_Solar_ZT275P Zytech_Solar_ZT280P Zytech_Solar_ZT285P  \\\n",
       "BIPV                         N                   N                   N   \n",
       "Date                12/23/2014          12/23/2014          12/23/2014   \n",
       "T_NOCT                    46.4                46.4                46.4   \n",
       "A_c                      1.931               1.931               1.931   \n",
       "N_s                         72                  72                  72   \n",
       "I_sc_ref                  8.31                 8.4                8.48   \n",
       "V_oc_ref                  45.1               45.25               45.43   \n",
       "I_mp_ref                  7.76                7.87                7.97   \n",
       "V_mp_ref                 35.44               35.62                35.8   \n",
       "alpha_sc              0.004014            0.004057            0.004096   \n",
       "beta_oc               -0.14428            -0.14476            -0.14533   \n",
       "a_ref                   1.8102              1.8147                1.82   \n",
       "I_L_ref                  8.324                8.41               8.487   \n",
       "I_o_ref               1.24e-10            1.23e-10            1.22e-10   \n",
       "R_s                      0.567               0.553               0.544   \n",
       "R_sh_ref                341.66              457.29              687.16   \n",
       "Adjust                   5.554               5.406               5.197   \n",
       "gamma_r                 -0.431              -0.431              -0.431   \n",
       "Version                 NRELv1              NRELv1              NRELv1   \n",
       "PTC                        248               252.6               257.3   \n",
       "Technology          Multi-c-Si          Multi-c-Si          Multi-c-Si   \n",
       "\n",
       "           Zytech_Solar_ZT290P Zytech_Solar_ZT295P Zytech_Solar_ZT300P  \\\n",
       "BIPV                         N                   N                   N   \n",
       "Date                12/23/2014          12/23/2014          12/23/2014   \n",
       "T_NOCT                    46.4                46.4                46.4   \n",
       "A_c                      1.931               1.931               1.931   \n",
       "N_s                         72                  72                  72   \n",
       "I_sc_ref                  8.55                8.64                8.71   \n",
       "V_oc_ref                 45.59               45.75               45.96   \n",
       "I_mp_ref                  8.07                8.16                8.26   \n",
       "V_mp_ref                 35.94               36.16               36.32   \n",
       "alpha_sc               0.00413            0.004173            0.004207   \n",
       "beta_oc               -0.14584            -0.14635            -0.14703   \n",
       "a_ref                   1.8227              1.8311              1.8443   \n",
       "I_L_ref                  8.552               8.642               8.805   \n",
       "I_o_ref               1.17e-10            1.22e-10            1.31e-10   \n",
       "R_s                      0.539               0.521               0.516   \n",
       "R_sh_ref               2344.16             2910.76               552.2   \n",
       "Adjust                   4.792               5.033               5.548   \n",
       "gamma_r                 -0.431              -0.431              -0.431   \n",
       "Version                 NRELv1              NRELv1              NRELv1   \n",
       "PTC                      261.9               266.5               271.2   \n",
       "Technology          Multi-c-Si          Multi-c-Si          Multi-c-Si   \n",
       "\n",
       "           Zytech_Solar_ZT305P Zytech_Solar_ZT310P Zytech_Solar_ZT315P  \\\n",
       "BIPV                         N                   N                   N   \n",
       "Date                12/23/2014          12/23/2014          12/23/2014   \n",
       "T_NOCT                    46.4                46.4                46.4   \n",
       "A_c                      1.931               1.931               1.931   \n",
       "N_s                         72                  72                  72   \n",
       "I_sc_ref                  8.87                 8.9                9.01   \n",
       "V_oc_ref                 46.12               46.28               46.44   \n",
       "I_mp_ref                  8.36                8.46                8.56   \n",
       "V_mp_ref                 36.49               36.66               36.81   \n",
       "alpha_sc              0.004284            0.004299            0.004352   \n",
       "beta_oc               -0.14754            -0.14805            -0.14856   \n",
       "a_ref                    1.849              1.8573              1.8649   \n",
       "I_L_ref                  8.874               8.995               9.107   \n",
       "I_o_ref                1.3e-10            1.35e-10            1.38e-10   \n",
       "R_s                      0.507               0.496               0.488   \n",
       "R_sh_ref               1118.01              767.45              681.89   \n",
       "Adjust                   5.373               5.578               5.711   \n",
       "gamma_r                 -0.431              -0.431              -0.431   \n",
       "Version                 NRELv1              NRELv1              NRELv1   \n",
       "PTC                      275.8               280.5               285.1   \n",
       "Technology          Multi-c-Si          Multi-c-Si          Multi-c-Si   \n",
       "\n",
       "           Zytech_Solar_ZT320P  \n",
       "BIPV                         N  \n",
       "Date                12/23/2014  \n",
       "T_NOCT                    46.4  \n",
       "A_c                      1.931  \n",
       "N_s                         72  \n",
       "I_sc_ref                  9.12  \n",
       "V_oc_ref                  46.6  \n",
       "I_mp_ref                  8.66  \n",
       "V_mp_ref                    37  \n",
       "alpha_sc              0.004405  \n",
       "beta_oc               -0.14907  \n",
       "a_ref                   1.8737  \n",
       "I_L_ref                  9.218  \n",
       "I_o_ref               1.44e-10  \n",
       "R_s                      0.476  \n",
       "R_sh_ref                603.91  \n",
       "Adjust                   5.971  \n",
       "gamma_r                 -0.431  \n",
       "Version                 NRELv1  \n",
       "PTC                      289.8  \n",
       "Technology          Multi-c-Si  \n",
       "\n",
       "[21 rows x 13953 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cec_modules = pvsystem.retrieve_sam('cecmod')\n",
    "cec_modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BIPV                   Y\n",
       "Date           4/28/2008\n",
       "T_NOCT                65\n",
       "A_c                 0.67\n",
       "N_s                   18\n",
       "I_sc_ref             7.5\n",
       "V_oc_ref            10.4\n",
       "I_mp_ref             6.6\n",
       "V_mp_ref             8.4\n",
       "alpha_sc           0.003\n",
       "beta_oc            -0.04\n",
       "a_ref              0.473\n",
       "I_L_ref            7.545\n",
       "I_o_ref        1.943e-09\n",
       "R_s                0.094\n",
       "R_sh_ref           15.72\n",
       "Adjust              10.6\n",
       "gamma_r             -0.5\n",
       "Version            MM105\n",
       "PTC                 48.9\n",
       "Technology    Multi-c-Si\n",
       "Name: Example_Module, dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cecmodule = cec_modules.Example_Module \n",
    "cecmodule"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Sandia module database."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Advent_Solar_AS160___2006_</th>\n",
       "      <th>Advent_Solar_Ventura_210___2008_</th>\n",
       "      <th>Advent_Solar_Ventura_215___2009_</th>\n",
       "      <th>Aleo_S03_160__2007__E__</th>\n",
       "      <th>Aleo_S03_165__2007__E__</th>\n",
       "      <th>Aleo_S16_165__2007__E__</th>\n",
       "      <th>Aleo_S16_170__2007__E__</th>\n",
       "      <th>Aleo_S16_175__2007__E__</th>\n",
       "      <th>Aleo_S16_180__2007__E__</th>\n",
       "      <th>Aleo_S16_185__2007__E__</th>\n",
       "      <th>...</th>\n",
       "      <th>Panasonic_VBHN235SA06B__2013_</th>\n",
       "      <th>Trina_TSM_240PA05__2013_</th>\n",
       "      <th>Hanwha_HSL60P6_PA_4_250T__2013_</th>\n",
       "      <th>Suniva_OPT300_72_4_100__2013_</th>\n",
       "      <th>Canadian_Solar_CS6X_300M__2013_</th>\n",
       "      <th>LG_LG290N1C_G3__2013_</th>\n",
       "      <th>Sharp_NDQ235F4__2013_</th>\n",
       "      <th>Solar_Frontier_SF_160S__2013_</th>\n",
       "      <th>SolarWorld_Sunmodule_250_Poly__2013_</th>\n",
       "      <th>Silevo_Triex_U300_Black__2014_</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Vintage</th>\n",
       "      <td>2006</td>\n",
       "      <td>2008</td>\n",
       "      <td>2009</td>\n",
       "      <td>2007 (E)</td>\n",
       "      <td>2007 (E)</td>\n",
       "      <td>2007 (E)</td>\n",
       "      <td>2007 (E)</td>\n",
       "      <td>2007 (E)</td>\n",
       "      <td>2007 (E)</td>\n",
       "      <td>2007 (E)</td>\n",
       "      <td>...</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Area</th>\n",
       "      <td>1.312</td>\n",
       "      <td>1.646</td>\n",
       "      <td>1.646</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.378</td>\n",
       "      <td>1.378</td>\n",
       "      <td>1.378</td>\n",
       "      <td>1.378</td>\n",
       "      <td>1.378</td>\n",
       "      <td>...</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.63</td>\n",
       "      <td>1.65</td>\n",
       "      <td>1.93</td>\n",
       "      <td>1.91</td>\n",
       "      <td>1.64</td>\n",
       "      <td>1.56</td>\n",
       "      <td>1.22</td>\n",
       "      <td>1.68</td>\n",
       "      <td>1.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Material</th>\n",
       "      <td>mc-Si</td>\n",
       "      <td>mc-Si</td>\n",
       "      <td>mc-Si</td>\n",
       "      <td>c-Si</td>\n",
       "      <td>c-Si</td>\n",
       "      <td>mc-Si</td>\n",
       "      <td>mc-Si</td>\n",
       "      <td>mc-Si</td>\n",
       "      <td>mc-Si</td>\n",
       "      <td>mc-Si</td>\n",
       "      <td>...</td>\n",
       "      <td>a-Si / mono-Si</td>\n",
       "      <td>mc-Si</td>\n",
       "      <td>mc-Si</td>\n",
       "      <td>c-Si</td>\n",
       "      <td>c-Si</td>\n",
       "      <td>c-Si</td>\n",
       "      <td>mc-Si</td>\n",
       "      <td>CIS</td>\n",
       "      <td>mc-Si</td>\n",
       "      <td>c-Si</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cells_in_Series</th>\n",
       "      <td>72</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>...</td>\n",
       "      <td>72</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>172</td>\n",
       "      <td>60</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parallel_Strings</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Isco</th>\n",
       "      <td>5.564</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.49</td>\n",
       "      <td>5.1</td>\n",
       "      <td>5.2</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.95</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.15</td>\n",
       "      <td>8.2</td>\n",
       "      <td>...</td>\n",
       "      <td>5.8738</td>\n",
       "      <td>8.8449</td>\n",
       "      <td>8.5935</td>\n",
       "      <td>8.5753</td>\n",
       "      <td>8.6388</td>\n",
       "      <td>9.8525</td>\n",
       "      <td>8.6739</td>\n",
       "      <td>2.0259</td>\n",
       "      <td>8.3768</td>\n",
       "      <td>5.771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Voco</th>\n",
       "      <td>42.832</td>\n",
       "      <td>35.31</td>\n",
       "      <td>35.92</td>\n",
       "      <td>43.5</td>\n",
       "      <td>43.6</td>\n",
       "      <td>30</td>\n",
       "      <td>30.1</td>\n",
       "      <td>30.2</td>\n",
       "      <td>30.3</td>\n",
       "      <td>30.5</td>\n",
       "      <td>...</td>\n",
       "      <td>52.0042</td>\n",
       "      <td>36.8926</td>\n",
       "      <td>36.8075</td>\n",
       "      <td>44.2921</td>\n",
       "      <td>43.5918</td>\n",
       "      <td>39.6117</td>\n",
       "      <td>36.8276</td>\n",
       "      <td>112.505</td>\n",
       "      <td>36.3806</td>\n",
       "      <td>68.5983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Impo</th>\n",
       "      <td>5.028</td>\n",
       "      <td>7.49</td>\n",
       "      <td>7.74</td>\n",
       "      <td>4.55</td>\n",
       "      <td>4.65</td>\n",
       "      <td>7.08</td>\n",
       "      <td>7.23</td>\n",
       "      <td>7.38</td>\n",
       "      <td>7.53</td>\n",
       "      <td>7.67</td>\n",
       "      <td>...</td>\n",
       "      <td>5.5383</td>\n",
       "      <td>8.2955</td>\n",
       "      <td>8.0822</td>\n",
       "      <td>7.963</td>\n",
       "      <td>8.1359</td>\n",
       "      <td>9.2473</td>\n",
       "      <td>8.1243</td>\n",
       "      <td>1.8356</td>\n",
       "      <td>7.6921</td>\n",
       "      <td>5.383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vmpo</th>\n",
       "      <td>32.41</td>\n",
       "      <td>27.61</td>\n",
       "      <td>27.92</td>\n",
       "      <td>35.6</td>\n",
       "      <td>35.8</td>\n",
       "      <td>23.3</td>\n",
       "      <td>23.5</td>\n",
       "      <td>23.7</td>\n",
       "      <td>23.9</td>\n",
       "      <td>24.1</td>\n",
       "      <td>...</td>\n",
       "      <td>43.1204</td>\n",
       "      <td>29.066</td>\n",
       "      <td>29.2011</td>\n",
       "      <td>35.0837</td>\n",
       "      <td>34.9531</td>\n",
       "      <td>31.2921</td>\n",
       "      <td>29.1988</td>\n",
       "      <td>86.6752</td>\n",
       "      <td>28.348</td>\n",
       "      <td>55.4547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aisc</th>\n",
       "      <td>0.000537</td>\n",
       "      <td>0.00077</td>\n",
       "      <td>0.00082</td>\n",
       "      <td>0.0003</td>\n",
       "      <td>0.0003</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0005</td>\n",
       "      <td>0.0004</td>\n",
       "      <td>0.0004</td>\n",
       "      <td>0.0006</td>\n",
       "      <td>0.0005</td>\n",
       "      <td>0.0002</td>\n",
       "      <td>0.0006</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>0.0006</td>\n",
       "      <td>0.0003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aimp</th>\n",
       "      <td>-0.000491</td>\n",
       "      <td>-0.00015</td>\n",
       "      <td>-0.00013</td>\n",
       "      <td>-0.00025</td>\n",
       "      <td>-0.00025</td>\n",
       "      <td>-0.0003</td>\n",
       "      <td>-0.0003</td>\n",
       "      <td>-0.0003</td>\n",
       "      <td>-0.0003</td>\n",
       "      <td>-0.0003</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.0001</td>\n",
       "      <td>-0.0003</td>\n",
       "      <td>-0.0003</td>\n",
       "      <td>-0.0002</td>\n",
       "      <td>-0.0001</td>\n",
       "      <td>-0.0004</td>\n",
       "      <td>-0.0002</td>\n",
       "      <td>-0.0003</td>\n",
       "      <td>-0.0001</td>\n",
       "      <td>-0.0003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C0</th>\n",
       "      <td>1.0233</td>\n",
       "      <td>0.937</td>\n",
       "      <td>1.015</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0015</td>\n",
       "      <td>1.0116</td>\n",
       "      <td>1.0061</td>\n",
       "      <td>0.999</td>\n",
       "      <td>1.0121</td>\n",
       "      <td>1.0145</td>\n",
       "      <td>1.0049</td>\n",
       "      <td>1.0096</td>\n",
       "      <td>1.0158</td>\n",
       "      <td>0.995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C1</th>\n",
       "      <td>-0.0233</td>\n",
       "      <td>0.063</td>\n",
       "      <td>-0.015</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.0015</td>\n",
       "      <td>-0.0116</td>\n",
       "      <td>-0.0061</td>\n",
       "      <td>0.001</td>\n",
       "      <td>-0.0121</td>\n",
       "      <td>-0.0145</td>\n",
       "      <td>-0.0049</td>\n",
       "      <td>-0.0096</td>\n",
       "      <td>-0.0158</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bvoco</th>\n",
       "      <td>-0.1703</td>\n",
       "      <td>-0.133</td>\n",
       "      <td>-0.135</td>\n",
       "      <td>-0.152</td>\n",
       "      <td>-0.152</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.1411</td>\n",
       "      <td>-0.137</td>\n",
       "      <td>-0.1263</td>\n",
       "      <td>-0.155</td>\n",
       "      <td>-0.1532</td>\n",
       "      <td>-0.1205</td>\n",
       "      <td>-0.1279</td>\n",
       "      <td>-0.3044</td>\n",
       "      <td>-0.1393</td>\n",
       "      <td>-0.1913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mbvoc</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bvmpo</th>\n",
       "      <td>-0.1731</td>\n",
       "      <td>-0.135</td>\n",
       "      <td>-0.136</td>\n",
       "      <td>-0.158</td>\n",
       "      <td>-0.158</td>\n",
       "      <td>-0.115</td>\n",
       "      <td>-0.115</td>\n",
       "      <td>-0.115</td>\n",
       "      <td>-0.115</td>\n",
       "      <td>-0.115</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.1366</td>\n",
       "      <td>-0.1441</td>\n",
       "      <td>-0.1314</td>\n",
       "      <td>-0.1669</td>\n",
       "      <td>-0.1634</td>\n",
       "      <td>-0.1337</td>\n",
       "      <td>-0.1348</td>\n",
       "      <td>-0.2339</td>\n",
       "      <td>-0.1449</td>\n",
       "      <td>-0.184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mbvmp</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>N</th>\n",
       "      <td>1.174</td>\n",
       "      <td>1.495</td>\n",
       "      <td>1.373</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.35</td>\n",
       "      <td>...</td>\n",
       "      <td>1.029</td>\n",
       "      <td>1.2073</td>\n",
       "      <td>1.0686</td>\n",
       "      <td>1.0771</td>\n",
       "      <td>1.0025</td>\n",
       "      <td>1.0925</td>\n",
       "      <td>1.0695</td>\n",
       "      <td>1.2066</td>\n",
       "      <td>1.226</td>\n",
       "      <td>1.345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C2</th>\n",
       "      <td>-0.76444</td>\n",
       "      <td>0.0182</td>\n",
       "      <td>0.0036</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2859</td>\n",
       "      <td>-0.07993</td>\n",
       "      <td>-0.2585</td>\n",
       "      <td>-0.355</td>\n",
       "      <td>-0.171</td>\n",
       "      <td>-0.4647</td>\n",
       "      <td>-0.2718</td>\n",
       "      <td>-0.5426</td>\n",
       "      <td>-0.09677</td>\n",
       "      <td>0.3221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C3</th>\n",
       "      <td>-15.5087</td>\n",
       "      <td>-10.758</td>\n",
       "      <td>-7.2509</td>\n",
       "      <td>-8.96</td>\n",
       "      <td>-8.96</td>\n",
       "      <td>-11.08</td>\n",
       "      <td>-11.08</td>\n",
       "      <td>-11.08</td>\n",
       "      <td>-11.08</td>\n",
       "      <td>-11.08</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.48455</td>\n",
       "      <td>-7.27624</td>\n",
       "      <td>-9.85905</td>\n",
       "      <td>-13.0643</td>\n",
       "      <td>-9.39745</td>\n",
       "      <td>-11.9008</td>\n",
       "      <td>-11.4033</td>\n",
       "      <td>-15.2598</td>\n",
       "      <td>-8.51148</td>\n",
       "      <td>-6.7178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A0</th>\n",
       "      <td>0.9281</td>\n",
       "      <td>0.9067</td>\n",
       "      <td>0.9323</td>\n",
       "      <td>0.938</td>\n",
       "      <td>0.938</td>\n",
       "      <td>0.924</td>\n",
       "      <td>0.924</td>\n",
       "      <td>0.924</td>\n",
       "      <td>0.924</td>\n",
       "      <td>0.924</td>\n",
       "      <td>...</td>\n",
       "      <td>0.9161</td>\n",
       "      <td>0.9645</td>\n",
       "      <td>0.9428</td>\n",
       "      <td>0.9327</td>\n",
       "      <td>0.9371</td>\n",
       "      <td>0.9731</td>\n",
       "      <td>0.9436</td>\n",
       "      <td>0.9354</td>\n",
       "      <td>0.9288</td>\n",
       "      <td>0.9191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A1</th>\n",
       "      <td>0.06615</td>\n",
       "      <td>0.09573</td>\n",
       "      <td>0.06526</td>\n",
       "      <td>0.05422</td>\n",
       "      <td>0.05422</td>\n",
       "      <td>0.06749</td>\n",
       "      <td>0.06749</td>\n",
       "      <td>0.06749</td>\n",
       "      <td>0.06749</td>\n",
       "      <td>0.06749</td>\n",
       "      <td>...</td>\n",
       "      <td>0.07968</td>\n",
       "      <td>0.02753</td>\n",
       "      <td>0.0536</td>\n",
       "      <td>0.07283</td>\n",
       "      <td>0.06262</td>\n",
       "      <td>0.02966</td>\n",
       "      <td>0.04765</td>\n",
       "      <td>0.06809</td>\n",
       "      <td>0.07201</td>\n",
       "      <td>0.09988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A2</th>\n",
       "      <td>-0.01384</td>\n",
       "      <td>-0.0266</td>\n",
       "      <td>-0.01567</td>\n",
       "      <td>-0.009903</td>\n",
       "      <td>-0.009903</td>\n",
       "      <td>-0.012549</td>\n",
       "      <td>-0.012549</td>\n",
       "      <td>-0.012549</td>\n",
       "      <td>-0.012549</td>\n",
       "      <td>-0.012549</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.01866</td>\n",
       "      <td>-0.002848</td>\n",
       "      <td>-0.01281</td>\n",
       "      <td>-0.02402</td>\n",
       "      <td>-0.01667</td>\n",
       "      <td>-0.01024</td>\n",
       "      <td>-0.007405</td>\n",
       "      <td>-0.02094</td>\n",
       "      <td>-0.02065</td>\n",
       "      <td>-0.04273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A3</th>\n",
       "      <td>0.001298</td>\n",
       "      <td>0.00343</td>\n",
       "      <td>0.00193</td>\n",
       "      <td>0.0007297</td>\n",
       "      <td>0.0007297</td>\n",
       "      <td>0.0010049</td>\n",
       "      <td>0.0010049</td>\n",
       "      <td>0.0010049</td>\n",
       "      <td>0.0010049</td>\n",
       "      <td>0.0010049</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002278</td>\n",
       "      <td>-0.0001439</td>\n",
       "      <td>0.001826</td>\n",
       "      <td>0.003819</td>\n",
       "      <td>0.002168</td>\n",
       "      <td>0.001793</td>\n",
       "      <td>0.0003818</td>\n",
       "      <td>0.00293</td>\n",
       "      <td>0.002862</td>\n",
       "      <td>0.00937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A4</th>\n",
       "      <td>-4.6e-05</td>\n",
       "      <td>-0.0001794</td>\n",
       "      <td>-9.81e-05</td>\n",
       "      <td>-1.907e-05</td>\n",
       "      <td>-1.907e-05</td>\n",
       "      <td>-2.8797e-05</td>\n",
       "      <td>-2.8797e-05</td>\n",
       "      <td>-2.8797e-05</td>\n",
       "      <td>-2.8797e-05</td>\n",
       "      <td>-2.8797e-05</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.0001118</td>\n",
       "      <td>2.219e-05</td>\n",
       "      <td>-0.0001048</td>\n",
       "      <td>-0.000235</td>\n",
       "      <td>-0.0001087</td>\n",
       "      <td>-0.0001286</td>\n",
       "      <td>-1.101e-05</td>\n",
       "      <td>-0.0001564</td>\n",
       "      <td>-0.0001544</td>\n",
       "      <td>-0.0007643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B1</th>\n",
       "      <td>-0.002438</td>\n",
       "      <td>-0.002438</td>\n",
       "      <td>-0.002438</td>\n",
       "      <td>-0.002438</td>\n",
       "      <td>-0.002438</td>\n",
       "      <td>-0.002438</td>\n",
       "      <td>-0.002438</td>\n",
       "      <td>-0.002438</td>\n",
       "      <td>-0.002438</td>\n",
       "      <td>-0.002438</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.01053</td>\n",
       "      <td>-0.00261</td>\n",
       "      <td>-0.007861</td>\n",
       "      <td>-0.006801</td>\n",
       "      <td>-0.00789</td>\n",
       "      <td>-0.0154</td>\n",
       "      <td>-0.00464</td>\n",
       "      <td>-0.0152</td>\n",
       "      <td>-0.00308</td>\n",
       "      <td>-0.006498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B2</th>\n",
       "      <td>0.0003103</td>\n",
       "      <td>0.00031</td>\n",
       "      <td>0.00031</td>\n",
       "      <td>0.0003103</td>\n",
       "      <td>0.0003103</td>\n",
       "      <td>0.0003103</td>\n",
       "      <td>0.0003103</td>\n",
       "      <td>0.0003103</td>\n",
       "      <td>0.0003103</td>\n",
       "      <td>0.0003103</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001149</td>\n",
       "      <td>0.0003279</td>\n",
       "      <td>0.0009058</td>\n",
       "      <td>0.0007968</td>\n",
       "      <td>0.0008656</td>\n",
       "      <td>0.001572</td>\n",
       "      <td>0.000559</td>\n",
       "      <td>0.001598</td>\n",
       "      <td>0.0004053</td>\n",
       "      <td>0.0006908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B3</th>\n",
       "      <td>-1.246e-05</td>\n",
       "      <td>-1.246e-05</td>\n",
       "      <td>-1.246e-05</td>\n",
       "      <td>-1.246e-05</td>\n",
       "      <td>-1.246e-05</td>\n",
       "      <td>-1.246e-05</td>\n",
       "      <td>-1.246e-05</td>\n",
       "      <td>-1.246e-05</td>\n",
       "      <td>-1.246e-05</td>\n",
       "      <td>-1.246e-05</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.268e-05</td>\n",
       "      <td>-1.458e-05</td>\n",
       "      <td>-3.496e-05</td>\n",
       "      <td>-3.095e-05</td>\n",
       "      <td>-3.298e-05</td>\n",
       "      <td>-5.525e-05</td>\n",
       "      <td>-2.249e-05</td>\n",
       "      <td>-5.682e-05</td>\n",
       "      <td>-1.729e-05</td>\n",
       "      <td>-2.678e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B4</th>\n",
       "      <td>2.11e-07</td>\n",
       "      <td>2.11e-07</td>\n",
       "      <td>2.11e-07</td>\n",
       "      <td>2.11e-07</td>\n",
       "      <td>2.11e-07</td>\n",
       "      <td>2.11e-07</td>\n",
       "      <td>2.11e-07</td>\n",
       "      <td>2.11e-07</td>\n",
       "      <td>2.11e-07</td>\n",
       "      <td>2.11e-07</td>\n",
       "      <td>...</td>\n",
       "      <td>6.517e-07</td>\n",
       "      <td>2.654e-07</td>\n",
       "      <td>5.473e-07</td>\n",
       "      <td>4.896e-07</td>\n",
       "      <td>5.178e-07</td>\n",
       "      <td>8.04e-07</td>\n",
       "      <td>3.673e-07</td>\n",
       "      <td>8.326e-07</td>\n",
       "      <td>2.997e-07</td>\n",
       "      <td>4.322e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B5</th>\n",
       "      <td>-1.36e-09</td>\n",
       "      <td>-1.36e-09</td>\n",
       "      <td>-1.36e-09</td>\n",
       "      <td>-1.36e-09</td>\n",
       "      <td>-1.36e-09</td>\n",
       "      <td>-1.36e-09</td>\n",
       "      <td>-1.36e-09</td>\n",
       "      <td>-1.36e-09</td>\n",
       "      <td>-1.36e-09</td>\n",
       "      <td>-1.36e-09</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.556e-09</td>\n",
       "      <td>-1.732e-09</td>\n",
       "      <td>-3.058e-09</td>\n",
       "      <td>-2.78e-09</td>\n",
       "      <td>-2.918e-09</td>\n",
       "      <td>-4.202e-09</td>\n",
       "      <td>-2.144e-09</td>\n",
       "      <td>-4.363e-09</td>\n",
       "      <td>-1.878e-09</td>\n",
       "      <td>-2.508e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DTC</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>2.03</td>\n",
       "      <td>3.03</td>\n",
       "      <td>2.55</td>\n",
       "      <td>2.58</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.05</td>\n",
       "      <td>3.27</td>\n",
       "      <td>3.29</td>\n",
       "      <td>3.19</td>\n",
       "      <td>3.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FD</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>-3.35</td>\n",
       "      <td>-3.45</td>\n",
       "      <td>-3.47</td>\n",
       "      <td>-3.56</td>\n",
       "      <td>-3.56</td>\n",
       "      <td>-3.56</td>\n",
       "      <td>-3.56</td>\n",
       "      <td>-3.56</td>\n",
       "      <td>-3.56</td>\n",
       "      <td>-3.56</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.7489</td>\n",
       "      <td>-3.5924</td>\n",
       "      <td>-3.5578</td>\n",
       "      <td>-3.7566</td>\n",
       "      <td>-3.6024</td>\n",
       "      <td>-3.4247</td>\n",
       "      <td>-3.7445</td>\n",
       "      <td>-3.6836</td>\n",
       "      <td>-3.73</td>\n",
       "      <td>-3.6866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>-0.1161</td>\n",
       "      <td>-0.077</td>\n",
       "      <td>-0.087</td>\n",
       "      <td>-0.075</td>\n",
       "      <td>-0.075</td>\n",
       "      <td>-0.075</td>\n",
       "      <td>-0.075</td>\n",
       "      <td>-0.075</td>\n",
       "      <td>-0.075</td>\n",
       "      <td>-0.075</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.1287</td>\n",
       "      <td>-0.1319</td>\n",
       "      <td>-0.1766</td>\n",
       "      <td>-0.156</td>\n",
       "      <td>-0.2106</td>\n",
       "      <td>-0.0951</td>\n",
       "      <td>-0.149</td>\n",
       "      <td>-0.1483</td>\n",
       "      <td>-0.1483</td>\n",
       "      <td>-0.104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C4</th>\n",
       "      <td>0.9974</td>\n",
       "      <td>0.972</td>\n",
       "      <td>0.989</td>\n",
       "      <td>0.995</td>\n",
       "      <td>0.995</td>\n",
       "      <td>0.995</td>\n",
       "      <td>0.995</td>\n",
       "      <td>0.995</td>\n",
       "      <td>0.995</td>\n",
       "      <td>0.995</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C5</th>\n",
       "      <td>0.0026</td>\n",
       "      <td>0.028</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.005</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IXO</th>\n",
       "      <td>5.54</td>\n",
       "      <td>8.25</td>\n",
       "      <td>8.49</td>\n",
       "      <td>5.04</td>\n",
       "      <td>5.14</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.85</td>\n",
       "      <td>8</td>\n",
       "      <td>8.05</td>\n",
       "      <td>8.1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IXXO</th>\n",
       "      <td>3.56</td>\n",
       "      <td>5.2</td>\n",
       "      <td>5.45</td>\n",
       "      <td>3.16</td>\n",
       "      <td>3.25</td>\n",
       "      <td>4.92</td>\n",
       "      <td>5.08</td>\n",
       "      <td>5.18</td>\n",
       "      <td>5.39</td>\n",
       "      <td>5.54</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C6</th>\n",
       "      <td>1.173</td>\n",
       "      <td>1.067</td>\n",
       "      <td>1.137</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.15</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C7</th>\n",
       "      <td>-0.173</td>\n",
       "      <td>-0.067</td>\n",
       "      <td>-0.137</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Notes</th>\n",
       "      <td>Source: Sandia National Laboratories Updated 9...</td>\n",
       "      <td>Source: Sandia National Laboratories Updated 9...</td>\n",
       "      <td>Source: Sandia National Laboratories Updated 9...</td>\n",
       "      <td>Source: Sandia National Laboratories Updated 9...</td>\n",
       "      <td>Source: Sandia National Laboratories Updated 9...</td>\n",
       "      <td>Source: Sandia National Laboratories Updated 9...</td>\n",
       "      <td>Source: Sandia National Laboratories Updated 9...</td>\n",
       "      <td>Source: Sandia National Laboratories Updated 9...</td>\n",
       "      <td>Source: Sandia National Laboratories Updated 9...</td>\n",
       "      <td>Source: Sandia National Laboratories Updated 9...</td>\n",
       "      <td>...</td>\n",
       "      <td>Source:  CFV Solar Test Lab.  Tested 2013.  Mo...</td>\n",
       "      <td>Source:  CFV Solar Test Lab.  Tested 2013.  Mo...</td>\n",
       "      <td>Source:  CFV Solar Test Lab.  Tested 2013.  Mo...</td>\n",
       "      <td>Source:  CFV Solar Test Lab.  Tested 2013.  Mo...</td>\n",
       "      <td>Source:  CFV Solar Test Lab.  Tested 2013.  Mo...</td>\n",
       "      <td>Source:  CFV Solar Test Lab.  Tested 2013.  Mo...</td>\n",
       "      <td>Source:  CFV Solar Test Lab.  Tested 2013.  Mo...</td>\n",
       "      <td>Source:  CFV Solar Test Lab.  Tested 2013.  Mo...</td>\n",
       "      <td>Source:  CFV Solar Test Lab.  Tested 2013.  Mo...</td>\n",
       "      <td>Source:  CFV Solar Test Lab.  Tested 2014.  Mo...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>42 rows × 523 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Advent_Solar_AS160___2006_  \\\n",
       "Vintage                                                        2006   \n",
       "Area                                                          1.312   \n",
       "Material                                                      mc-Si   \n",
       "Cells_in_Series                                                  72   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                          5.564   \n",
       "Voco                                                         42.832   \n",
       "Impo                                                          5.028   \n",
       "Vmpo                                                          32.41   \n",
       "Aisc                                                       0.000537   \n",
       "Aimp                                                      -0.000491   \n",
       "C0                                                           1.0233   \n",
       "C1                                                          -0.0233   \n",
       "Bvoco                                                       -0.1703   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                       -0.1731   \n",
       "Mbvmp                                                             0   \n",
       "N                                                             1.174   \n",
       "C2                                                         -0.76444   \n",
       "C3                                                         -15.5087   \n",
       "A0                                                           0.9281   \n",
       "A1                                                          0.06615   \n",
       "A2                                                         -0.01384   \n",
       "A3                                                         0.001298   \n",
       "A4                                                         -4.6e-05   \n",
       "B0                                                                1   \n",
       "B1                                                        -0.002438   \n",
       "B2                                                        0.0003103   \n",
       "B3                                                       -1.246e-05   \n",
       "B4                                                         2.11e-07   \n",
       "B5                                                        -1.36e-09   \n",
       "DTC                                                               3   \n",
       "FD                                                                1   \n",
       "A                                                             -3.35   \n",
       "B                                                           -0.1161   \n",
       "C4                                                           0.9974   \n",
       "C5                                                           0.0026   \n",
       "IXO                                                            5.54   \n",
       "IXXO                                                           3.56   \n",
       "C6                                                            1.173   \n",
       "C7                                                           -0.173   \n",
       "Notes             Source: Sandia National Laboratories Updated 9...   \n",
       "\n",
       "                                   Advent_Solar_Ventura_210___2008_  \\\n",
       "Vintage                                                        2008   \n",
       "Area                                                          1.646   \n",
       "Material                                                      mc-Si   \n",
       "Cells_in_Series                                                  60   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                           8.34   \n",
       "Voco                                                          35.31   \n",
       "Impo                                                           7.49   \n",
       "Vmpo                                                          27.61   \n",
       "Aisc                                                        0.00077   \n",
       "Aimp                                                       -0.00015   \n",
       "C0                                                            0.937   \n",
       "C1                                                            0.063   \n",
       "Bvoco                                                        -0.133   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                        -0.135   \n",
       "Mbvmp                                                             0   \n",
       "N                                                             1.495   \n",
       "C2                                                           0.0182   \n",
       "C3                                                          -10.758   \n",
       "A0                                                           0.9067   \n",
       "A1                                                          0.09573   \n",
       "A2                                                          -0.0266   \n",
       "A3                                                          0.00343   \n",
       "A4                                                       -0.0001794   \n",
       "B0                                                                1   \n",
       "B1                                                        -0.002438   \n",
       "B2                                                          0.00031   \n",
       "B3                                                       -1.246e-05   \n",
       "B4                                                         2.11e-07   \n",
       "B5                                                        -1.36e-09   \n",
       "DTC                                                               3   \n",
       "FD                                                                1   \n",
       "A                                                             -3.45   \n",
       "B                                                            -0.077   \n",
       "C4                                                            0.972   \n",
       "C5                                                            0.028   \n",
       "IXO                                                            8.25   \n",
       "IXXO                                                            5.2   \n",
       "C6                                                            1.067   \n",
       "C7                                                           -0.067   \n",
       "Notes             Source: Sandia National Laboratories Updated 9...   \n",
       "\n",
       "                                   Advent_Solar_Ventura_215___2009_  \\\n",
       "Vintage                                                        2009   \n",
       "Area                                                          1.646   \n",
       "Material                                                      mc-Si   \n",
       "Cells_in_Series                                                  60   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                           8.49   \n",
       "Voco                                                          35.92   \n",
       "Impo                                                           7.74   \n",
       "Vmpo                                                          27.92   \n",
       "Aisc                                                        0.00082   \n",
       "Aimp                                                       -0.00013   \n",
       "C0                                                            1.015   \n",
       "C1                                                           -0.015   \n",
       "Bvoco                                                        -0.135   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                        -0.136   \n",
       "Mbvmp                                                             0   \n",
       "N                                                             1.373   \n",
       "C2                                                           0.0036   \n",
       "C3                                                          -7.2509   \n",
       "A0                                                           0.9323   \n",
       "A1                                                          0.06526   \n",
       "A2                                                         -0.01567   \n",
       "A3                                                          0.00193   \n",
       "A4                                                        -9.81e-05   \n",
       "B0                                                                1   \n",
       "B1                                                        -0.002438   \n",
       "B2                                                          0.00031   \n",
       "B3                                                       -1.246e-05   \n",
       "B4                                                         2.11e-07   \n",
       "B5                                                        -1.36e-09   \n",
       "DTC                                                               3   \n",
       "FD                                                                1   \n",
       "A                                                             -3.47   \n",
       "B                                                            -0.087   \n",
       "C4                                                            0.989   \n",
       "C5                                                            0.012   \n",
       "IXO                                                            8.49   \n",
       "IXXO                                                           5.45   \n",
       "C6                                                            1.137   \n",
       "C7                                                           -0.137   \n",
       "Notes             Source: Sandia National Laboratories Updated 9...   \n",
       "\n",
       "                                            Aleo_S03_160__2007__E__  \\\n",
       "Vintage                                                    2007 (E)   \n",
       "Area                                                           1.28   \n",
       "Material                                                       c-Si   \n",
       "Cells_in_Series                                                  72   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                            5.1   \n",
       "Voco                                                           43.5   \n",
       "Impo                                                           4.55   \n",
       "Vmpo                                                           35.6   \n",
       "Aisc                                                         0.0003   \n",
       "Aimp                                                       -0.00025   \n",
       "C0                                                             0.99   \n",
       "C1                                                             0.01   \n",
       "Bvoco                                                        -0.152   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                        -0.158   \n",
       "Mbvmp                                                             0   \n",
       "N                                                              1.25   \n",
       "C2                                                            -0.15   \n",
       "C3                                                            -8.96   \n",
       "A0                                                            0.938   \n",
       "A1                                                          0.05422   \n",
       "A2                                                        -0.009903   \n",
       "A3                                                        0.0007297   \n",
       "A4                                                       -1.907e-05   \n",
       "B0                                                                1   \n",
       "B1                                                        -0.002438   \n",
       "B2                                                        0.0003103   \n",
       "B3                                                       -1.246e-05   \n",
       "B4                                                         2.11e-07   \n",
       "B5                                                        -1.36e-09   \n",
       "DTC                                                               3   \n",
       "FD                                                                1   \n",
       "A                                                             -3.56   \n",
       "B                                                            -0.075   \n",
       "C4                                                            0.995   \n",
       "C5                                                            0.005   \n",
       "IXO                                                            5.04   \n",
       "IXXO                                                           3.16   \n",
       "C6                                                             1.15   \n",
       "C7                                                            -0.15   \n",
       "Notes             Source: Sandia National Laboratories Updated 9...   \n",
       "\n",
       "                                            Aleo_S03_165__2007__E__  \\\n",
       "Vintage                                                    2007 (E)   \n",
       "Area                                                           1.28   \n",
       "Material                                                       c-Si   \n",
       "Cells_in_Series                                                  72   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                            5.2   \n",
       "Voco                                                           43.6   \n",
       "Impo                                                           4.65   \n",
       "Vmpo                                                           35.8   \n",
       "Aisc                                                         0.0003   \n",
       "Aimp                                                       -0.00025   \n",
       "C0                                                             0.99   \n",
       "C1                                                             0.01   \n",
       "Bvoco                                                        -0.152   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                        -0.158   \n",
       "Mbvmp                                                             0   \n",
       "N                                                              1.25   \n",
       "C2                                                            -0.15   \n",
       "C3                                                            -8.96   \n",
       "A0                                                            0.938   \n",
       "A1                                                          0.05422   \n",
       "A2                                                        -0.009903   \n",
       "A3                                                        0.0007297   \n",
       "A4                                                       -1.907e-05   \n",
       "B0                                                                1   \n",
       "B1                                                        -0.002438   \n",
       "B2                                                        0.0003103   \n",
       "B3                                                       -1.246e-05   \n",
       "B4                                                         2.11e-07   \n",
       "B5                                                        -1.36e-09   \n",
       "DTC                                                               3   \n",
       "FD                                                                1   \n",
       "A                                                             -3.56   \n",
       "B                                                            -0.075   \n",
       "C4                                                            0.995   \n",
       "C5                                                            0.005   \n",
       "IXO                                                            5.14   \n",
       "IXXO                                                           3.25   \n",
       "C6                                                             1.15   \n",
       "C7                                                            -0.15   \n",
       "Notes             Source: Sandia National Laboratories Updated 9...   \n",
       "\n",
       "                                            Aleo_S16_165__2007__E__  \\\n",
       "Vintage                                                    2007 (E)   \n",
       "Area                                                          1.378   \n",
       "Material                                                      mc-Si   \n",
       "Cells_in_Series                                                  50   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                            7.9   \n",
       "Voco                                                             30   \n",
       "Impo                                                           7.08   \n",
       "Vmpo                                                           23.3   \n",
       "Aisc                                                         0.0008   \n",
       "Aimp                                                        -0.0003   \n",
       "C0                                                             0.99   \n",
       "C1                                                             0.01   \n",
       "Bvoco                                                         -0.11   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                        -0.115   \n",
       "Mbvmp                                                             0   \n",
       "N                                                              1.35   \n",
       "C2                                                            -0.12   \n",
       "C3                                                           -11.08   \n",
       "A0                                                            0.924   \n",
       "A1                                                          0.06749   \n",
       "A2                                                        -0.012549   \n",
       "A3                                                        0.0010049   \n",
       "A4                                                      -2.8797e-05   \n",
       "B0                                                                1   \n",
       "B1                                                        -0.002438   \n",
       "B2                                                        0.0003103   \n",
       "B3                                                       -1.246e-05   \n",
       "B4                                                         2.11e-07   \n",
       "B5                                                        -1.36e-09   \n",
       "DTC                                                               3   \n",
       "FD                                                                1   \n",
       "A                                                             -3.56   \n",
       "B                                                            -0.075   \n",
       "C4                                                            0.995   \n",
       "C5                                                            0.005   \n",
       "IXO                                                             7.8   \n",
       "IXXO                                                           4.92   \n",
       "C6                                                             1.15   \n",
       "C7                                                            -0.15   \n",
       "Notes             Source: Sandia National Laboratories Updated 9...   \n",
       "\n",
       "                                            Aleo_S16_170__2007__E__  \\\n",
       "Vintage                                                    2007 (E)   \n",
       "Area                                                          1.378   \n",
       "Material                                                      mc-Si   \n",
       "Cells_in_Series                                                  50   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                           7.95   \n",
       "Voco                                                           30.1   \n",
       "Impo                                                           7.23   \n",
       "Vmpo                                                           23.5   \n",
       "Aisc                                                         0.0008   \n",
       "Aimp                                                        -0.0003   \n",
       "C0                                                             0.99   \n",
       "C1                                                             0.01   \n",
       "Bvoco                                                         -0.11   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                        -0.115   \n",
       "Mbvmp                                                             0   \n",
       "N                                                              1.35   \n",
       "C2                                                            -0.12   \n",
       "C3                                                           -11.08   \n",
       "A0                                                            0.924   \n",
       "A1                                                          0.06749   \n",
       "A2                                                        -0.012549   \n",
       "A3                                                        0.0010049   \n",
       "A4                                                      -2.8797e-05   \n",
       "B0                                                                1   \n",
       "B1                                                        -0.002438   \n",
       "B2                                                        0.0003103   \n",
       "B3                                                       -1.246e-05   \n",
       "B4                                                         2.11e-07   \n",
       "B5                                                        -1.36e-09   \n",
       "DTC                                                               3   \n",
       "FD                                                                1   \n",
       "A                                                             -3.56   \n",
       "B                                                            -0.075   \n",
       "C4                                                            0.995   \n",
       "C5                                                            0.005   \n",
       "IXO                                                            7.85   \n",
       "IXXO                                                           5.08   \n",
       "C6                                                             1.15   \n",
       "C7                                                            -0.15   \n",
       "Notes             Source: Sandia National Laboratories Updated 9...   \n",
       "\n",
       "                                            Aleo_S16_175__2007__E__  \\\n",
       "Vintage                                                    2007 (E)   \n",
       "Area                                                          1.378   \n",
       "Material                                                      mc-Si   \n",
       "Cells_in_Series                                                  50   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                            8.1   \n",
       "Voco                                                           30.2   \n",
       "Impo                                                           7.38   \n",
       "Vmpo                                                           23.7   \n",
       "Aisc                                                         0.0008   \n",
       "Aimp                                                        -0.0003   \n",
       "C0                                                             0.99   \n",
       "C1                                                             0.01   \n",
       "Bvoco                                                         -0.11   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                        -0.115   \n",
       "Mbvmp                                                             0   \n",
       "N                                                              1.35   \n",
       "C2                                                            -0.12   \n",
       "C3                                                           -11.08   \n",
       "A0                                                            0.924   \n",
       "A1                                                          0.06749   \n",
       "A2                                                        -0.012549   \n",
       "A3                                                        0.0010049   \n",
       "A4                                                      -2.8797e-05   \n",
       "B0                                                                1   \n",
       "B1                                                        -0.002438   \n",
       "B2                                                        0.0003103   \n",
       "B3                                                       -1.246e-05   \n",
       "B4                                                         2.11e-07   \n",
       "B5                                                        -1.36e-09   \n",
       "DTC                                                               3   \n",
       "FD                                                                1   \n",
       "A                                                             -3.56   \n",
       "B                                                            -0.075   \n",
       "C4                                                            0.995   \n",
       "C5                                                            0.005   \n",
       "IXO                                                               8   \n",
       "IXXO                                                           5.18   \n",
       "C6                                                             1.15   \n",
       "C7                                                            -0.15   \n",
       "Notes             Source: Sandia National Laboratories Updated 9...   \n",
       "\n",
       "                                            Aleo_S16_180__2007__E__  \\\n",
       "Vintage                                                    2007 (E)   \n",
       "Area                                                          1.378   \n",
       "Material                                                      mc-Si   \n",
       "Cells_in_Series                                                  50   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                           8.15   \n",
       "Voco                                                           30.3   \n",
       "Impo                                                           7.53   \n",
       "Vmpo                                                           23.9   \n",
       "Aisc                                                         0.0008   \n",
       "Aimp                                                        -0.0003   \n",
       "C0                                                             0.99   \n",
       "C1                                                             0.01   \n",
       "Bvoco                                                         -0.11   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                        -0.115   \n",
       "Mbvmp                                                             0   \n",
       "N                                                              1.35   \n",
       "C2                                                            -0.12   \n",
       "C3                                                           -11.08   \n",
       "A0                                                            0.924   \n",
       "A1                                                          0.06749   \n",
       "A2                                                        -0.012549   \n",
       "A3                                                        0.0010049   \n",
       "A4                                                      -2.8797e-05   \n",
       "B0                                                                1   \n",
       "B1                                                        -0.002438   \n",
       "B2                                                        0.0003103   \n",
       "B3                                                       -1.246e-05   \n",
       "B4                                                         2.11e-07   \n",
       "B5                                                        -1.36e-09   \n",
       "DTC                                                               3   \n",
       "FD                                                                1   \n",
       "A                                                             -3.56   \n",
       "B                                                            -0.075   \n",
       "C4                                                            0.995   \n",
       "C5                                                            0.005   \n",
       "IXO                                                            8.05   \n",
       "IXXO                                                           5.39   \n",
       "C6                                                             1.15   \n",
       "C7                                                            -0.15   \n",
       "Notes             Source: Sandia National Laboratories Updated 9...   \n",
       "\n",
       "                                            Aleo_S16_185__2007__E__  \\\n",
       "Vintage                                                    2007 (E)   \n",
       "Area                                                          1.378   \n",
       "Material                                                      mc-Si   \n",
       "Cells_in_Series                                                  50   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                            8.2   \n",
       "Voco                                                           30.5   \n",
       "Impo                                                           7.67   \n",
       "Vmpo                                                           24.1   \n",
       "Aisc                                                         0.0008   \n",
       "Aimp                                                        -0.0003   \n",
       "C0                                                             0.99   \n",
       "C1                                                             0.01   \n",
       "Bvoco                                                         -0.11   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                        -0.115   \n",
       "Mbvmp                                                             0   \n",
       "N                                                              1.35   \n",
       "C2                                                            -0.12   \n",
       "C3                                                           -11.08   \n",
       "A0                                                            0.924   \n",
       "A1                                                          0.06749   \n",
       "A2                                                        -0.012549   \n",
       "A3                                                        0.0010049   \n",
       "A4                                                      -2.8797e-05   \n",
       "B0                                                                1   \n",
       "B1                                                        -0.002438   \n",
       "B2                                                        0.0003103   \n",
       "B3                                                       -1.246e-05   \n",
       "B4                                                         2.11e-07   \n",
       "B5                                                        -1.36e-09   \n",
       "DTC                                                               3   \n",
       "FD                                                                1   \n",
       "A                                                             -3.56   \n",
       "B                                                            -0.075   \n",
       "C4                                                            0.995   \n",
       "C5                                                            0.005   \n",
       "IXO                                                             8.1   \n",
       "IXXO                                                           5.54   \n",
       "C6                                                             1.15   \n",
       "C7                                                            -0.15   \n",
       "Notes             Source: Sandia National Laboratories Updated 9...   \n",
       "\n",
       "                                        ...                          \\\n",
       "Vintage                                 ...                           \n",
       "Area                                    ...                           \n",
       "Material                                ...                           \n",
       "Cells_in_Series                         ...                           \n",
       "Parallel_Strings                        ...                           \n",
       "Isco                                    ...                           \n",
       "Voco                                    ...                           \n",
       "Impo                                    ...                           \n",
       "Vmpo                                    ...                           \n",
       "Aisc                                    ...                           \n",
       "Aimp                                    ...                           \n",
       "C0                                      ...                           \n",
       "C1                                      ...                           \n",
       "Bvoco                                   ...                           \n",
       "Mbvoc                                   ...                           \n",
       "Bvmpo                                   ...                           \n",
       "Mbvmp                                   ...                           \n",
       "N                                       ...                           \n",
       "C2                                      ...                           \n",
       "C3                                      ...                           \n",
       "A0                                      ...                           \n",
       "A1                                      ...                           \n",
       "A2                                      ...                           \n",
       "A3                                      ...                           \n",
       "A4                                      ...                           \n",
       "B0                                      ...                           \n",
       "B1                                      ...                           \n",
       "B2                                      ...                           \n",
       "B3                                      ...                           \n",
       "B4                                      ...                           \n",
       "B5                                      ...                           \n",
       "DTC                                     ...                           \n",
       "FD                                      ...                           \n",
       "A                                       ...                           \n",
       "B                                       ...                           \n",
       "C4                                      ...                           \n",
       "C5                                      ...                           \n",
       "IXO                                     ...                           \n",
       "IXXO                                    ...                           \n",
       "C6                                      ...                           \n",
       "C7                                      ...                           \n",
       "Notes                                   ...                           \n",
       "\n",
       "                                      Panasonic_VBHN235SA06B__2013_  \\\n",
       "Vintage                                                        2013   \n",
       "Area                                                           1.26   \n",
       "Material                                             a-Si / mono-Si   \n",
       "Cells_in_Series                                                  72   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                         5.8738   \n",
       "Voco                                                        52.0042   \n",
       "Impo                                                         5.5383   \n",
       "Vmpo                                                        43.1204   \n",
       "Aisc                                                         0.0005   \n",
       "Aimp                                                        -0.0001   \n",
       "C0                                                           1.0015   \n",
       "C1                                                          -0.0015   \n",
       "Bvoco                                                       -0.1411   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                       -0.1366   \n",
       "Mbvmp                                                             0   \n",
       "N                                                             1.029   \n",
       "C2                                                           0.2859   \n",
       "C3                                                         -5.48455   \n",
       "A0                                                           0.9161   \n",
       "A1                                                          0.07968   \n",
       "A2                                                         -0.01866   \n",
       "A3                                                         0.002278   \n",
       "A4                                                       -0.0001118   \n",
       "B0                                                                1   \n",
       "B1                                                         -0.01053   \n",
       "B2                                                         0.001149   \n",
       "B3                                                       -4.268e-05   \n",
       "B4                                                        6.517e-07   \n",
       "B5                                                       -3.556e-09   \n",
       "DTC                                                            2.03   \n",
       "FD                                                                1   \n",
       "A                                                           -3.7489   \n",
       "B                                                           -0.1287   \n",
       "C4                                                              NaN   \n",
       "C5                                                              NaN   \n",
       "IXO                                                             NaN   \n",
       "IXXO                                                            NaN   \n",
       "C6                                                              NaN   \n",
       "C7                                                              NaN   \n",
       "Notes             Source:  CFV Solar Test Lab.  Tested 2013.  Mo...   \n",
       "\n",
       "                                           Trina_TSM_240PA05__2013_  \\\n",
       "Vintage                                                        2013   \n",
       "Area                                                           1.63   \n",
       "Material                                                      mc-Si   \n",
       "Cells_in_Series                                                  60   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                         8.8449   \n",
       "Voco                                                        36.8926   \n",
       "Impo                                                         8.2955   \n",
       "Vmpo                                                         29.066   \n",
       "Aisc                                                         0.0004   \n",
       "Aimp                                                        -0.0003   \n",
       "C0                                                           1.0116   \n",
       "C1                                                          -0.0116   \n",
       "Bvoco                                                        -0.137   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                       -0.1441   \n",
       "Mbvmp                                                             0   \n",
       "N                                                            1.2073   \n",
       "C2                                                         -0.07993   \n",
       "C3                                                         -7.27624   \n",
       "A0                                                           0.9645   \n",
       "A1                                                          0.02753   \n",
       "A2                                                        -0.002848   \n",
       "A3                                                       -0.0001439   \n",
       "A4                                                        2.219e-05   \n",
       "B0                                                                1   \n",
       "B1                                                         -0.00261   \n",
       "B2                                                        0.0003279   \n",
       "B3                                                       -1.458e-05   \n",
       "B4                                                        2.654e-07   \n",
       "B5                                                       -1.732e-09   \n",
       "DTC                                                            3.03   \n",
       "FD                                                                1   \n",
       "A                                                           -3.5924   \n",
       "B                                                           -0.1319   \n",
       "C4                                                              NaN   \n",
       "C5                                                              NaN   \n",
       "IXO                                                             NaN   \n",
       "IXXO                                                            NaN   \n",
       "C6                                                              NaN   \n",
       "C7                                                              NaN   \n",
       "Notes             Source:  CFV Solar Test Lab.  Tested 2013.  Mo...   \n",
       "\n",
       "                                    Hanwha_HSL60P6_PA_4_250T__2013_  \\\n",
       "Vintage                                                        2013   \n",
       "Area                                                           1.65   \n",
       "Material                                                      mc-Si   \n",
       "Cells_in_Series                                                  60   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                         8.5935   \n",
       "Voco                                                        36.8075   \n",
       "Impo                                                         8.0822   \n",
       "Vmpo                                                        29.2011   \n",
       "Aisc                                                         0.0004   \n",
       "Aimp                                                        -0.0003   \n",
       "C0                                                           1.0061   \n",
       "C1                                                          -0.0061   \n",
       "Bvoco                                                       -0.1263   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                       -0.1314   \n",
       "Mbvmp                                                             0   \n",
       "N                                                            1.0686   \n",
       "C2                                                          -0.2585   \n",
       "C3                                                         -9.85905   \n",
       "A0                                                           0.9428   \n",
       "A1                                                           0.0536   \n",
       "A2                                                         -0.01281   \n",
       "A3                                                         0.001826   \n",
       "A4                                                       -0.0001048   \n",
       "B0                                                                1   \n",
       "B1                                                        -0.007861   \n",
       "B2                                                        0.0009058   \n",
       "B3                                                       -3.496e-05   \n",
       "B4                                                        5.473e-07   \n",
       "B5                                                       -3.058e-09   \n",
       "DTC                                                            2.55   \n",
       "FD                                                                1   \n",
       "A                                                           -3.5578   \n",
       "B                                                           -0.1766   \n",
       "C4                                                              NaN   \n",
       "C5                                                              NaN   \n",
       "IXO                                                             NaN   \n",
       "IXXO                                                            NaN   \n",
       "C6                                                              NaN   \n",
       "C7                                                              NaN   \n",
       "Notes             Source:  CFV Solar Test Lab.  Tested 2013.  Mo...   \n",
       "\n",
       "                                      Suniva_OPT300_72_4_100__2013_  \\\n",
       "Vintage                                                        2013   \n",
       "Area                                                           1.93   \n",
       "Material                                                       c-Si   \n",
       "Cells_in_Series                                                  72   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                         8.5753   \n",
       "Voco                                                        44.2921   \n",
       "Impo                                                          7.963   \n",
       "Vmpo                                                        35.0837   \n",
       "Aisc                                                         0.0006   \n",
       "Aimp                                                        -0.0002   \n",
       "C0                                                            0.999   \n",
       "C1                                                            0.001   \n",
       "Bvoco                                                        -0.155   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                       -0.1669   \n",
       "Mbvmp                                                             0   \n",
       "N                                                            1.0771   \n",
       "C2                                                           -0.355   \n",
       "C3                                                         -13.0643   \n",
       "A0                                                           0.9327   \n",
       "A1                                                          0.07283   \n",
       "A2                                                         -0.02402   \n",
       "A3                                                         0.003819   \n",
       "A4                                                        -0.000235   \n",
       "B0                                                                1   \n",
       "B1                                                        -0.006801   \n",
       "B2                                                        0.0007968   \n",
       "B3                                                       -3.095e-05   \n",
       "B4                                                        4.896e-07   \n",
       "B5                                                        -2.78e-09   \n",
       "DTC                                                            2.58   \n",
       "FD                                                                1   \n",
       "A                                                           -3.7566   \n",
       "B                                                            -0.156   \n",
       "C4                                                              NaN   \n",
       "C5                                                              NaN   \n",
       "IXO                                                             NaN   \n",
       "IXXO                                                            NaN   \n",
       "C6                                                              NaN   \n",
       "C7                                                              NaN   \n",
       "Notes             Source:  CFV Solar Test Lab.  Tested 2013.  Mo...   \n",
       "\n",
       "                                    Canadian_Solar_CS6X_300M__2013_  \\\n",
       "Vintage                                                        2013   \n",
       "Area                                                           1.91   \n",
       "Material                                                       c-Si   \n",
       "Cells_in_Series                                                  72   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                         8.6388   \n",
       "Voco                                                        43.5918   \n",
       "Impo                                                         8.1359   \n",
       "Vmpo                                                        34.9531   \n",
       "Aisc                                                         0.0005   \n",
       "Aimp                                                        -0.0001   \n",
       "C0                                                           1.0121   \n",
       "C1                                                          -0.0121   \n",
       "Bvoco                                                       -0.1532   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                       -0.1634   \n",
       "Mbvmp                                                             0   \n",
       "N                                                            1.0025   \n",
       "C2                                                           -0.171   \n",
       "C3                                                         -9.39745   \n",
       "A0                                                           0.9371   \n",
       "A1                                                          0.06262   \n",
       "A2                                                         -0.01667   \n",
       "A3                                                         0.002168   \n",
       "A4                                                       -0.0001087   \n",
       "B0                                                                1   \n",
       "B1                                                         -0.00789   \n",
       "B2                                                        0.0008656   \n",
       "B3                                                       -3.298e-05   \n",
       "B4                                                        5.178e-07   \n",
       "B5                                                       -2.918e-09   \n",
       "DTC                                                             3.2   \n",
       "FD                                                                1   \n",
       "A                                                           -3.6024   \n",
       "B                                                           -0.2106   \n",
       "C4                                                              NaN   \n",
       "C5                                                              NaN   \n",
       "IXO                                                             NaN   \n",
       "IXXO                                                            NaN   \n",
       "C6                                                              NaN   \n",
       "C7                                                              NaN   \n",
       "Notes             Source:  CFV Solar Test Lab.  Tested 2013.  Mo...   \n",
       "\n",
       "                                              LG_LG290N1C_G3__2013_  \\\n",
       "Vintage                                                        2013   \n",
       "Area                                                           1.64   \n",
       "Material                                                       c-Si   \n",
       "Cells_in_Series                                                  60   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                         9.8525   \n",
       "Voco                                                        39.6117   \n",
       "Impo                                                         9.2473   \n",
       "Vmpo                                                        31.2921   \n",
       "Aisc                                                         0.0002   \n",
       "Aimp                                                        -0.0004   \n",
       "C0                                                           1.0145   \n",
       "C1                                                          -0.0145   \n",
       "Bvoco                                                       -0.1205   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                       -0.1337   \n",
       "Mbvmp                                                             0   \n",
       "N                                                            1.0925   \n",
       "C2                                                          -0.4647   \n",
       "C3                                                         -11.9008   \n",
       "A0                                                           0.9731   \n",
       "A1                                                          0.02966   \n",
       "A2                                                         -0.01024   \n",
       "A3                                                         0.001793   \n",
       "A4                                                       -0.0001286   \n",
       "B0                                                                1   \n",
       "B1                                                          -0.0154   \n",
       "B2                                                         0.001572   \n",
       "B3                                                       -5.525e-05   \n",
       "B4                                                         8.04e-07   \n",
       "B5                                                       -4.202e-09   \n",
       "DTC                                                            3.05   \n",
       "FD                                                                1   \n",
       "A                                                           -3.4247   \n",
       "B                                                           -0.0951   \n",
       "C4                                                              NaN   \n",
       "C5                                                              NaN   \n",
       "IXO                                                             NaN   \n",
       "IXXO                                                            NaN   \n",
       "C6                                                              NaN   \n",
       "C7                                                              NaN   \n",
       "Notes             Source:  CFV Solar Test Lab.  Tested 2013.  Mo...   \n",
       "\n",
       "                                              Sharp_NDQ235F4__2013_  \\\n",
       "Vintage                                                        2013   \n",
       "Area                                                           1.56   \n",
       "Material                                                      mc-Si   \n",
       "Cells_in_Series                                                  60   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                         8.6739   \n",
       "Voco                                                        36.8276   \n",
       "Impo                                                         8.1243   \n",
       "Vmpo                                                        29.1988   \n",
       "Aisc                                                         0.0006   \n",
       "Aimp                                                        -0.0002   \n",
       "C0                                                           1.0049   \n",
       "C1                                                          -0.0049   \n",
       "Bvoco                                                       -0.1279   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                       -0.1348   \n",
       "Mbvmp                                                             0   \n",
       "N                                                            1.0695   \n",
       "C2                                                          -0.2718   \n",
       "C3                                                         -11.4033   \n",
       "A0                                                           0.9436   \n",
       "A1                                                          0.04765   \n",
       "A2                                                        -0.007405   \n",
       "A3                                                        0.0003818   \n",
       "A4                                                       -1.101e-05   \n",
       "B0                                                                1   \n",
       "B1                                                         -0.00464   \n",
       "B2                                                         0.000559   \n",
       "B3                                                       -2.249e-05   \n",
       "B4                                                        3.673e-07   \n",
       "B5                                                       -2.144e-09   \n",
       "DTC                                                            3.27   \n",
       "FD                                                                1   \n",
       "A                                                           -3.7445   \n",
       "B                                                            -0.149   \n",
       "C4                                                              NaN   \n",
       "C5                                                              NaN   \n",
       "IXO                                                             NaN   \n",
       "IXXO                                                            NaN   \n",
       "C6                                                              NaN   \n",
       "C7                                                              NaN   \n",
       "Notes             Source:  CFV Solar Test Lab.  Tested 2013.  Mo...   \n",
       "\n",
       "                                      Solar_Frontier_SF_160S__2013_  \\\n",
       "Vintage                                                        2013   \n",
       "Area                                                           1.22   \n",
       "Material                                                        CIS   \n",
       "Cells_in_Series                                                 172   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                         2.0259   \n",
       "Voco                                                        112.505   \n",
       "Impo                                                         1.8356   \n",
       "Vmpo                                                        86.6752   \n",
       "Aisc                                                         0.0001   \n",
       "Aimp                                                        -0.0003   \n",
       "C0                                                           1.0096   \n",
       "C1                                                          -0.0096   \n",
       "Bvoco                                                       -0.3044   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                       -0.2339   \n",
       "Mbvmp                                                             0   \n",
       "N                                                            1.2066   \n",
       "C2                                                          -0.5426   \n",
       "C3                                                         -15.2598   \n",
       "A0                                                           0.9354   \n",
       "A1                                                          0.06809   \n",
       "A2                                                         -0.02094   \n",
       "A3                                                          0.00293   \n",
       "A4                                                       -0.0001564   \n",
       "B0                                                                1   \n",
       "B1                                                          -0.0152   \n",
       "B2                                                         0.001598   \n",
       "B3                                                       -5.682e-05   \n",
       "B4                                                        8.326e-07   \n",
       "B5                                                       -4.363e-09   \n",
       "DTC                                                            3.29   \n",
       "FD                                                                1   \n",
       "A                                                           -3.6836   \n",
       "B                                                           -0.1483   \n",
       "C4                                                              NaN   \n",
       "C5                                                              NaN   \n",
       "IXO                                                             NaN   \n",
       "IXXO                                                            NaN   \n",
       "C6                                                              NaN   \n",
       "C7                                                              NaN   \n",
       "Notes             Source:  CFV Solar Test Lab.  Tested 2013.  Mo...   \n",
       "\n",
       "                               SolarWorld_Sunmodule_250_Poly__2013_  \\\n",
       "Vintage                                                        2013   \n",
       "Area                                                           1.68   \n",
       "Material                                                      mc-Si   \n",
       "Cells_in_Series                                                  60   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                         8.3768   \n",
       "Voco                                                        36.3806   \n",
       "Impo                                                         7.6921   \n",
       "Vmpo                                                         28.348   \n",
       "Aisc                                                         0.0006   \n",
       "Aimp                                                        -0.0001   \n",
       "C0                                                           1.0158   \n",
       "C1                                                          -0.0158   \n",
       "Bvoco                                                       -0.1393   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                       -0.1449   \n",
       "Mbvmp                                                             0   \n",
       "N                                                             1.226   \n",
       "C2                                                         -0.09677   \n",
       "C3                                                         -8.51148   \n",
       "A0                                                           0.9288   \n",
       "A1                                                          0.07201   \n",
       "A2                                                         -0.02065   \n",
       "A3                                                         0.002862   \n",
       "A4                                                       -0.0001544   \n",
       "B0                                                                1   \n",
       "B1                                                         -0.00308   \n",
       "B2                                                        0.0004053   \n",
       "B3                                                       -1.729e-05   \n",
       "B4                                                        2.997e-07   \n",
       "B5                                                       -1.878e-09   \n",
       "DTC                                                            3.19   \n",
       "FD                                                                1   \n",
       "A                                                             -3.73   \n",
       "B                                                           -0.1483   \n",
       "C4                                                              NaN   \n",
       "C5                                                              NaN   \n",
       "IXO                                                             NaN   \n",
       "IXXO                                                            NaN   \n",
       "C6                                                              NaN   \n",
       "C7                                                              NaN   \n",
       "Notes             Source:  CFV Solar Test Lab.  Tested 2013.  Mo...   \n",
       "\n",
       "                                     Silevo_Triex_U300_Black__2014_  \n",
       "Vintage                                                        2014  \n",
       "Area                                                           1.68  \n",
       "Material                                                       c-Si  \n",
       "Cells_in_Series                                                  96  \n",
       "Parallel_Strings                                                  1  \n",
       "Isco                                                          5.771  \n",
       "Voco                                                        68.5983  \n",
       "Impo                                                          5.383  \n",
       "Vmpo                                                        55.4547  \n",
       "Aisc                                                         0.0003  \n",
       "Aimp                                                        -0.0003  \n",
       "C0                                                            0.995  \n",
       "C1                                                            0.005  \n",
       "Bvoco                                                       -0.1913  \n",
       "Mbvoc                                                             0  \n",
       "Bvmpo                                                        -0.184  \n",
       "Mbvmp                                                             0  \n",
       "N                                                             1.345  \n",
       "C2                                                           0.3221  \n",
       "C3                                                          -6.7178  \n",
       "A0                                                           0.9191  \n",
       "A1                                                          0.09988  \n",
       "A2                                                         -0.04273  \n",
       "A3                                                          0.00937  \n",
       "A4                                                       -0.0007643  \n",
       "B0                                                                1  \n",
       "B1                                                        -0.006498  \n",
       "B2                                                        0.0006908  \n",
       "B3                                                       -2.678e-05  \n",
       "B4                                                        4.322e-07  \n",
       "B5                                                       -2.508e-09  \n",
       "DTC                                                            3.13  \n",
       "FD                                                                1  \n",
       "A                                                           -3.6866  \n",
       "B                                                            -0.104  \n",
       "C4                                                              NaN  \n",
       "C5                                                              NaN  \n",
       "IXO                                                             NaN  \n",
       "IXXO                                                            NaN  \n",
       "C6                                                              NaN  \n",
       "C7                                                              NaN  \n",
       "Notes             Source:  CFV Solar Test Lab.  Tested 2014.  Mo...  \n",
       "\n",
       "[42 rows x 523 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sandia_modules = pvsystem.retrieve_sam(name='SandiaMod')\n",
    "sandia_modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Vintage                                                          2009\n",
       "Area                                                            1.701\n",
       "Material                                                         c-Si\n",
       "Cells_in_Series                                                    96\n",
       "Parallel_Strings                                                    1\n",
       "Isco                                                          5.09115\n",
       "Voco                                                          59.2608\n",
       "Impo                                                          4.54629\n",
       "Vmpo                                                          48.3156\n",
       "Aisc                                                         0.000397\n",
       "Aimp                                                         0.000181\n",
       "C0                                                            1.01284\n",
       "C1                                                         -0.0128398\n",
       "Bvoco                                                        -0.21696\n",
       "Mbvoc                                                               0\n",
       "Bvmpo                                                       -0.235488\n",
       "Mbvmp                                                               0\n",
       "N                                                              1.4032\n",
       "C2                                                           0.279317\n",
       "C3                                                           -7.24463\n",
       "A0                                                           0.928385\n",
       "A1                                                           0.068093\n",
       "A2                                                         -0.0157738\n",
       "A3                                                          0.0016606\n",
       "A4                                                          -6.93e-05\n",
       "B0                                                                  1\n",
       "B1                                                          -0.002438\n",
       "B2                                                          0.0003103\n",
       "B3                                                         -1.246e-05\n",
       "B4                                                           2.11e-07\n",
       "B5                                                          -1.36e-09\n",
       "DTC                                                                 3\n",
       "FD                                                                  1\n",
       "A                                                            -3.40641\n",
       "B                                                          -0.0842075\n",
       "C4                                                           0.996446\n",
       "C5                                                           0.003554\n",
       "IXO                                                           4.97599\n",
       "IXXO                                                          3.18803\n",
       "C6                                                            1.15535\n",
       "C7                                                          -0.155353\n",
       "Notes               Source: Sandia National Laboratories Updated 9...\n",
       "Name: Canadian_Solar_CS5P_220M___2009_, dtype: object"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sandia_module = sandia_modules.Canadian_Solar_CS5P_220M___2009_\n",
    "sandia_module"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Generate some irradiance data for modeling."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pvlib import clearsky\n",
    "from pvlib import irradiance\n",
    "from pvlib import atmosphere\n",
    "from pvlib.location import Location\n",
    "\n",
    "tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')\n",
    "\n",
    "times_loc = pd.date_range(start=datetime.datetime(2014,4,1), end=datetime.datetime(2014,4,2), freq='30s', tz=tus.tz)\n",
    "solpos = pvlib.solarposition.get_solarposition(times_loc, tus.latitude, tus.longitude)\n",
    "dni_extra = pvlib.irradiance.extraradiation(times_loc)\n",
    "airmass = pvlib.atmosphere.relativeairmass(solpos['apparent_zenith'])\n",
    "pressure = pvlib.atmosphere.alt2pres(tus.altitude)\n",
    "am_abs = pvlib.atmosphere.absoluteairmass(airmass, pressure)\n",
    "cs = tus.get_clearsky(times_loc)\n",
    "\n",
    "surface_tilt = tus.latitude\n",
    "surface_azimuth = 180  # pointing south\n",
    "\n",
    "aoi = pvlib.irradiance.aoi(surface_tilt, surface_azimuth,\n",
    "                           solpos['apparent_zenith'], solpos['azimuth'])\n",
    "total_irrad = pvlib.irradiance.total_irrad(surface_tilt,\n",
    "                                           surface_azimuth,\n",
    "                                           solpos['apparent_zenith'],\n",
    "                                           solpos['azimuth'],\n",
    "                                           cs['dni'], cs['ghi'], cs['dhi'],\n",
    "                                           dni_extra=dni_extra,\n",
    "                                           model='haydavies')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can run the module parameters and the irradiance data through the SAPM functions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/holmgren/git_repos/pvlib2/pvlib-python/pvlib/pvsystem.py:1303: RuntimeWarning: divide by zero encountered in log\n",
      "  module['Voco'] + module['Cells_in_Series']*delta*np.log(Ee) +\n",
      "/Users/holmgren/git_repos/pvlib2/pvlib-python/pvlib/pvsystem.py:1309: RuntimeWarning: divide by zero encountered in log\n",
      "  module['C3']*module['Cells_in_Series']*((delta*np.log(Ee)) ** 2) +\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11429ee80>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LjI5DdIzM61JEx5EPoWmK0XGICp4sy1i0aDE++OCvWLRosSEZ2EgT0aAQ9dci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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114319e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "module = sandia_module\n",
    "\n",
    "# a sunny, calm, and hot day in the desert\n",
    "temps = pvsystem.sapm_celltemp(total_irrad['poa_global'], 0, 30)\n",
    "\n",
    "effective_irradiance = pvlib.pvsystem.sapm_effective_irradiance(\n",
    "    total_irrad['poa_direct'], total_irrad['poa_diffuse'],\n",
    "    am_abs, aoi, module)\n",
    "\n",
    "sapm_1 = pvlib.pvsystem.sapm(effective_irradiance, temps['temp_cell'], module)\n",
    "\n",
    "sapm_1.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_sapm(sapm_data, effective_irradiance):\n",
    "    \"\"\"\n",
    "    Makes a nice figure with the SAPM data.\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    sapm_data : DataFrame\n",
    "        The output of ``pvsystem.sapm``\n",
    "    \"\"\"\n",
    "    fig, axes = plt.subplots(2, 3, figsize=(16,10), sharex=False, sharey=False, squeeze=False)\n",
    "    plt.subplots_adjust(wspace=.2, hspace=.3)\n",
    "\n",
    "    ax = axes[0,0]\n",
    "    sapm_data.filter(like='i_').plot(ax=ax)\n",
    "    ax.set_ylabel('Current (A)')\n",
    "\n",
    "    ax = axes[0,1]\n",
    "    sapm_data.filter(like='v_').plot(ax=ax)\n",
    "    ax.set_ylabel('Voltage (V)')\n",
    "\n",
    "    ax = axes[0,2]\n",
    "    sapm_data.filter(like='p_').plot(ax=ax)\n",
    "    ax.set_ylabel('Power (W)')\n",
    "\n",
    "    ax = axes[1,0]\n",
    "    [ax.plot(effective_irradiance, current, label=name) for name, current in\n",
    "     sapm_data.filter(like='i_').iteritems()]\n",
    "    ax.set_ylabel('Current (A)')\n",
    "    ax.set_xlabel('Effective Irradiance')\n",
    "    ax.legend(loc=2)\n",
    "\n",
    "    ax = axes[1,1]\n",
    "    [ax.plot(effective_irradiance, voltage, label=name) for name, voltage in\n",
    "     sapm_data.filter(like='v_').iteritems()]\n",
    "    ax.set_ylabel('Voltage (V)')\n",
    "    ax.set_xlabel('Effective Irradiance')\n",
    "    ax.legend(loc=4)\n",
    "\n",
    "    ax = axes[1,2]\n",
    "    ax.plot(effective_irradiance, sapm_data['p_mp'], label='p_mp')\n",
    "    ax.set_ylabel('Power (W)')\n",
    "    ax.set_xlabel('Effective Irradiance')\n",
    "    ax.legend(loc=2)\n",
    "\n",
    "    # needed to show the time ticks\n",
    "    for ax in axes.flatten():\n",
    "        for tk in ax.get_xticklabels():\n",
    "            tk.set_visible(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YkRLM9wfK2JtbzZTkgZuDRegbTlPE6nQ67rzzTpYsWUJRURF33303X3/99UVP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\n8HaktsaEkT0nlsoSB421naRkRJ/0PbGhMVjNURwM7WQeENtjp7VrgHi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Q/qi+pReQIlZr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q/xL5nQwPlbDcxOUv9NAlxdtaiqMtVZG9khGqVlRpSWOWarSWCgJ/LyHLPlmxkal+GuR+7G1t+2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REZHZ4BBLREREREREZoNDLBEREREREZkNDrFERERERERkNixqiNXr9ViyZAkiIyMRHR2NvLy8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\nxBIREREREZHZ+H8nMmnEs8h7MQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1142a5748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_sapm(sapm_1, effective_irradiance)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For comparison, here's the SAPM for a sunny, windy, cold version of the same day."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/holmgren/git_repos/pvlib2/pvlib-python/pvlib/pvsystem.py:1303: RuntimeWarning: divide by zero encountered in log\n",
      "  module['Voco'] + module['Cells_in_Series']*delta*np.log(Ee) +\n",
      "/Users/holmgren/git_repos/pvlib2/pvlib-python/pvlib/pvsystem.py:1309: RuntimeWarning: divide by zero encountered in log\n",
      "  module['C3']*module['Cells_in_Series']*((delta*np.log(Ee)) ** 2) +\n"
     ]
    },
    {
     "data": {
      "image/png": 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kXfxHLJOnnsQoP4qq2mjr6FY7jhAj2o7DVTiBBWnuOSNxX3y9DEwbF0plvZm8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\n+n6WowAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11431fbe0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "temps = pvsystem.sapm_celltemp(total_irrad['poa_global'], 10, 5)\n",
    "\n",
    "sapm_2 = pvlib.pvsystem.sapm(effective_irradiance, temps['temp_cell'], module)\n",
    "\n",
    "plot_sapm(sapm_2, effective_irradiance)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x114d84d68>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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GDGHjxo306NEDR0dHIiMjcXd3v+YHjuuZNWsWr7zyCsOHD8fT0/OqGy/Hjh3L0qVLGT16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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11512b7f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sapm_1['p_mp'].plot(label='30 C,  0 m/s')\n",
    "sapm_2['p_mp'].plot(label=' 5 C, 10 m/s')\n",
    "plt.legend()\n",
    "plt.ylabel('Pmp')\n",
    "plt.title('Comparison of a hot, calm day and a cold, windy day')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### SAPM IV curves"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The IV curve function only calculates the 5 points of the SAPM. We will add arbitrary points in a future release, but for now we just interpolate between the 5 SAPM points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.simplefilter('ignore', np.RankWarning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def sapm_to_ivframe(sapm_row):\n",
    "    pnt = sapm_row\n",
    "\n",
    "    ivframe = {'Isc': (pnt['i_sc'], 0),\n",
    "              'Pmp': (pnt['i_mp'], pnt['v_mp']),\n",
    "              'Ix': (pnt['i_x'], 0.5*pnt['v_oc']),\n",
    "              'Ixx': (pnt['i_xx'], 0.5*(pnt['v_oc']+pnt['v_mp'])),\n",
    "              'Voc': (0, pnt['v_oc'])}\n",
    "    ivframe = pd.DataFrame(ivframe, index=['current', 'voltage']).T\n",
    "    ivframe = ivframe.sort_values(by='voltage')\n",
    "    \n",
    "    return ivframe\n",
    "\n",
    "def ivframe_to_ivcurve(ivframe, points=100):\n",
    "    ivfit_coefs = np.polyfit(ivframe['voltage'], ivframe['current'], 30)\n",
    "    fit_voltages = np.linspace(0, ivframe.loc['Voc', 'voltage'], points)\n",
    "    fit_currents = np.polyval(ivfit_coefs, fit_voltages)\n",
    "    \n",
    "    return fit_voltages, fit_currents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1153066d8>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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37j9YsmQBCxe+TVhY+GXbo6Las3z5WwwdOpwLFy5gs9kJDAy84ucRFdWebdu20KZNO7Zv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\nzl/rx5CWg3ipyxRaBTXnz8zDzNm5iE0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4olRPtGsmzlVeqMuTeLWmPNGuknSrqyfbikYD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\nqRGdZ/B2nAEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114b874a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "times = ['2014-04-01 07:00:00', '2014-04-01 08:00:00', '2014-04-01 09:00:00', \n",
    "         '2014-04-01 10:00:00', '2014-04-01 11:00:00', '2014-04-01 12:00:00']\n",
    "times.reverse()\n",
    "\n",
    "fig, ax = plt.subplots(1, 1, figsize=(12,8))\n",
    "\n",
    "for time in times:\n",
    "    ivframe = sapm_to_ivframe(sapm_1.loc[time])\n",
    "\n",
    "    fit_voltages, fit_currents = ivframe_to_ivcurve(ivframe)\n",
    "\n",
    "    ax.plot(fit_voltages, fit_currents, label=time)\n",
    "    ax.plot(ivframe['voltage'], ivframe['current'], 'ko')\n",
    "    \n",
    "ax.set_xlabel('Voltage (V)')\n",
    "ax.set_ylabel('Current (A)')\n",
    "ax.set_ylim(0, None)\n",
    "ax.set_title('IV curves at multiple times')\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### desoto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The same data run through the desoto model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "photocurrent, saturation_current, resistance_series, resistance_shunt, nNsVth = (\n",
    "    pvsystem.calcparams_desoto(total_irrad['poa_global'],\n",
    "                                 temp_cell=temps['temp_cell'],\n",
    "                                 alpha_isc=cecmodule['alpha_sc'],\n",
    "                                 module_parameters=cecmodule,\n",
    "                                 EgRef=1.121,\n",
    "                                 dEgdT=-0.0002677) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x114cfb0b8>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Lj/Ir4eOlx6r5o0THIRW4cVYC/E0GfLq3Co2tPaLjEJGKsEgTEX3B2ztOwWJz4HsLRsHk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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115da2710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "photocurrent.plot()\n",
    "plt.ylabel('Light current I_L (A)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x114bc6550>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IHz16FLfeeiv+4z/+A0ajEVlZWThy5IgrshEReaxLYx2zE7lbhzdLu/jvl1va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\nRHygRVpERERExAdapEVEREREfPB/LawVLQv64gkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11537e978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "saturation_current.plot()\n",
    "plt.ylabel('Saturation current I_0 (A)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.094"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resistance_series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 100)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Xbp0jPWbMGOTn56O8vByiKGLlypUIDQ31djYi8gN5GZEQBOCb0424eWy61HGI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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113dc9748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "resistance_shunt.plot()\n",
    "plt.ylabel('Shunt resistance (ohms)')\n",
    "plt.ylim(0,100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11479d160>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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p1Yg/H+ZVI4nowVi0iYgeweHMMhRXtuCx8QGIjtCLjkMW9tTUMAwP8sS3V6pxsbBOdBwi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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115e0f710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nNsVth.plot()\n",
    "plt.ylabel('nNsVth')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Single diode model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/holmgren/git_repos/pvlib2/pvlib-python/pvlib/pvsystem.py:1943: RuntimeWarning: invalid value encountered in true_divide\n",
      "  I = -V/(Rs + Rsh) - (nNsVth/Rs)*lambertwterm + Rsh*(IL + I0)/(Rs + Rsh)\n"
     ]
    }
   ],
   "source": [
    "single_diode_out = pvsystem.singlediode(photocurrent, saturation_current,\n",
    "                                        resistance_series, resistance_shunt, nNsVth)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x116445a20>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ffFIpKSmX/X0NDTxQ4Q8pKTHM0o+Y5/vtPdmomsZOXTcxQ33dfWrovvKvnZmn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\nkAYAgA4MaQAA6MCQBgCADt4AQb364/ZbducAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114b59438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "single_diode_out['i_sc'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x113d9aef0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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tJkgDGNp8I9JVzJNGCCBIAyHgMCPSAIaJbHf/yh3ccIhQQJAGQkBVff+KHenJ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114b6b5c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "single_diode_out['v_oc'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1151764a8>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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FLMvYdqAekgRclRkpOg6Ry1k8IwIqpQLbD9bByq3wiOyCRZqI7KK8vgc1LX3I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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114b671d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "single_diode_out['p_mp'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}