{
 "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 0.3.0\n",
    "* Python 3.5.1\n",
    "* IPython 3.2\n",
    "* Pandas 0.18.0\n",
    "\n",
    "It should work with other Python and Pandas versions. It requires pvlib >= 0.3.0 and IPython >= 3.0.\n",
    "\n",
    "Authors:\n",
    "* Will Holmgren (@wholmgren), University of Arizona. 2015, March 2016."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "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": {
    "collapsed": false
   },
   "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": {
    "collapsed": false
   },
   "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": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'albedo': 0.1,\n",
       " 'altitude': 7.0,\n",
       " 'latitude': 55.317,\n",
       " 'longitude': -160.517,\n",
       " 'name': '\"SAND POINT\"',\n",
       " 'strings_per_inverter': 5,\n",
       " 'modules_per_string': 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": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'albedo': 0.1,\n",
       " 'altitude': 2.0,\n",
       " 'latitude': 25.8,\n",
       " 'longitude': -80.26666666666667,\n",
       " 'name': 'MIAMI',\n",
       " 'strings_per_inverter': 5,\n",
       " 'modules_per_string': 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": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1112e4828>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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kSVqzZo2GDBmSvK9Pnz6qq6vTzp071adPHxUXF2v69Onf+nyVlXVt+Zo6rMLC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\nGQAAAGij/x9wtxlpbCMSCAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f83f470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "angles = np.linspace(-180,180,3601)\n",
    "ashraeiam = pd.Series(pvsystem.ashraeiam(.05, angles), index=angles)\n",
    "\n",
    "ashraeiam.plot()\n",
    "plt.ylabel('ASHRAE modifier')\n",
    "plt.xlabel('input angle (deg)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x10fdcd240>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vb/cxGvsbg4Rn5JSjhmeHw6FrrrlGmzZt0vz58w+7vTen5waQ2IHuznN5MQcL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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10fdc6240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "angles = np.linspace(-180,180,3601)\n",
    "physicaliam = pd.Series(pvsystem.physicaliam(4, 0.002, 1.526, angles), index=angles)\n",
    "\n",
    "physicaliam.plot()\n",
    "plt.ylabel('physical modifier')\n",
    "plt.xlabel('input index')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x10434b2b0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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BBx+FzWYDAPz+9w/g6aefwIoVKzm2QUS51d3nxuNr96A3sB/GuRuhEyWc3XAWLpt3Hk/m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\nAAAAeojkGQAAAOih/wd2pHA9IvNk9gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10434b198>"
      ]
     },
     "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": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10f9bbcc0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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saraeyEbTaWBclCerZkRiay0tA4W410hoFkLcc7JLGvjj3nQ6tQZWzohkcqJv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\nERERkUYoNIuIiIiINOL/Bz7tN0TV6FrpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110737470>"
      ]
     },
     "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": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x110799828>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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od+YkkxKnWxJFREREJhI10oOUEhvE9/5pLufLm9m0q5jTxY2cLm5kTkoYd+QkkxwT6O4S\nRURERGQUaGvHMJ0tbeKNXcWcK2sGYG5qOHfkJJMYPbiXBmRs0suTYiplU0ymfIqptLVjlE1PCOGR\nLwWTX9LEG7uLOV7Qf+34/GkR3JGTTHykv7tLFBEREZERoEbaBSwWCzOTQpmRGMLpC41s2lXMkXN1\nHDlXR9aMSO5YmkRchBpqERERkfFEjbQLWSwWZieHkZYUSm5RI5t2FXE4v5Yj+bUsnBXF7UuTiAnz\nc3eZIiIiIuICaqRHgMViYU5KGOlTQjlR0MCmXUUcyKvh4JkasmdFc/vSJKJCfd1dpoiIiIgMgxrp\nEWSxWJg7NZyM1DCOnqvnzd3F7DtdzYG8GpbMjua2pUlEBk9yd5kiIiIiMgRqpEeBxWJh/vQI5k0L\n5+jZOjbtLmZ3bhX7TlezND2a25YkER6khlpERERkLDH++Ltntv8vZgfPIjsmC5vV5u5yXMLhcHIo\nv5Y3dxdT3diBzWphWUYsty1OJDTQx93lySDoCCcxlbIpJlM+xVTj7orw+//6L3Tbe4jyjeD2lHVk\nhKdhsVjcXZZLOBxODuTV8OaeYmqbOvGwWViREcctixMJCfB2d3lyHTQZiKmUTTGZ8immGneNdGNn\nM384vIm9VYdwOB0kByZwR8otTA2Z4u7SXMbucLDvVA1v7SmmvqULD5uVG+bFcUt2AkH+aqhNpslA\nTKVsismUTzHVuGukof9mw5r2Wt4qepfjdbkAzA6bwe0p64jzj3Fzda7TZ3ew91Q1b++5QENrF14e\nVm7IjGPdokQC/bzcXZ5chSYDMZWyKSZTPsVU47aRvqy4pYQ3C9/hfHMRFiwsjM7k1uSbCJsU4sYK\nXavP7mD3ySre3nuBprZuvDytrJ4fz80LEwjwVUNtEk0GYiplU0ymfIqpxn0jDeB0OslrPMumgr9T\n2V6Nh8XG8vglrE1ahb/n+LnwpLfPwc4Tlfxt3wWaL/bg7WVj1bw4blowWVs+DKHJQEylbIrJlE8x\n1YRopC9zOB0cqj7G20Xv0tTdjI/Nh5sSV3LD5By8bONn5ban186O45X8fX8JLe09eHpYWTYnhpsX\nJejYPDfTZCCmUjbFZMqnmGpCNdKX9dp72VWxj3+UbKO9t4MgrwBuTb5pXB2ZB9DbZ2d3bjXv7C+h\nvqULm9VC9qwoblmcqKvH3USTgZhK2RSTKZ9iqgnZSF/W2dfJlpIdbC3bRa+jt//IvCk3kxExe9wc\nmQf9e6gPnqnhb/tKqGrowALMnx7BrYuTSIweXABkeDQZiKmUTTGZ8immmtCN9GXN3S28U7xl4Mi8\npMAE7hxnR+YBOJxOjp2rY/O+Ekqq+/+O0qeEceviRKZNDnZzdRODJgMxlbIpJlM+xVRqpK9Q017L\n20XvcmwcH5kH/W++PH2hkc17SzhX1gzAtMnB3LY4kbTk0HG1Gm8aTQZiKmVTTKZ8iqnUSF9FcUsp\nbxb+fVwfmXfZubJm/ravhNyiBgASowO4bXEi86ZFYFVD7XKaDMRUyqaYTPkUU6mR/hQT5ci8y0qq\n2/jb/hKO5NfiBGLCfLl1cSILZ0bhYbO6u7xxQ5OBmErZFJMpn2IqNdLXcPnIvM3F79HY1YSPzYcb\nLx2Z5z2Ojsy7rKqhnb/vL2H/6RrsDifhQT6sW5RAzpwYPD3Gz4km7qLJQEylbIrJlE8xlRrp69Tr\n6Os/Mu/C1oEj825JvpHFMQvG1ZF5l9W3dPKPA6XsPFFFn91BkJ8XaxcmsHJeLD5eHu4ub8zSZCCm\nUjbFZMqnmEqN9CBNlCPzLmu52M17h8rYdqyC7h47fj4erMmazOr58fhP8nR3eWOOJgMxlbIpJlM+\nxVRqpIeopbuVv1/Ywt7Kg1ccmbeOqSEpI/7c7tDe1cvWI+W8f6iM9q4+vL1s3HDp+vFgXT9+3TQZ\niKmUTTGZ8immUiM9TDUddbxd+I+BI/PSwmZwxzg8Mu+yrp4+dhyv5B8HS2m52IOHrf/68XWLEggP\n1vXj16LJQEylbIrJlE8xlRppF/n4kXlZUfO4JXkNkb7ho17LaOjts7Mnt5q/X7p+3GqxkJ0WxS3Z\nicSGj79TTVxFk4GYStkUkymfYio10i7Uf2TeOd4s/DsVF6uwWqwsjM5kXdJqwieFuaWmkWZ3ODiY\nV8vf9pdQWd+OBcicHsGtixNJig50d3nG0WQgplI2xWTKp5hKjfQIcDgdHK87xd+K36e6vQarxUp2\ndBY3J60el5e6QP/148fP17N57wUuXLp+fHZyKLctSdL141fQZCCmUjbFZMqnmEqN9AhyOB0crT3J\n34vfp6ajDpvFxuLYBdycuIoQn/HZXDqdTvIuNLF57wXOXrp+PDU+iLULEpg3NRyrdfydbDIYmgzE\nVMqmmEz5FFOpkR4FDqeDwzXH+Xvx+9R1NuBhsbE0bhE3Jd5AsHeQu8sbMefL+68fP1nYf/14ZMgk\nblowmaXpMXh7jr+zt6+HJgMxlbIpJlM+xVRqpEeR3WHnYM0x3ineQkNXIx5WD5bFZXNjwg0EeQ/u\nH2Isqahv572Dpew7XU2f3Ymfjwc3ZMaxOjOeoAl2dJ4mAzGVsikmUz7FVGqk3cDusLO/+jDvFG+l\nqbsZT6sny+MWc2PiSgK8/N1d3ohpae9h25FyPjhWwcXOXjxsFrLTolm7YDJxEeP3//tKmgzEVMqm\nmEz5FFOpkXajPkcf+6oO8Y8L22jubsHL6smK+KWsSViBv9f4PUKuu9fO3twq3jtURk1TJwDpU8JY\nu3AyMxNDxuUNkZdpMhBTKZtiMuVTTKVG2gC9jj72Vh7k3QvbaOlpxdvmxQ3xOaxKWI6fp6+7yxsx\nDoeT4wX1vHuwlPPlLQAkRPqzdmECC2ZG4mGzurlC19NkIKZSNsVkyqeYSo20QXrsveypPMC7Jdto\n67mIj82HVZNzuGHyMnw9x/etgYWVLbx7sIwjZ2txOiEkwJs18+NZMTcWXx9Pd5fnMpoMxFTKpphM\n+RRTqZE2UI+9h50V+3i/ZDsXe9uZ5DGJ1ZOXs3LyUiZ5+Li7vBFV19zJ+4fL2HWiiu5eO95eNpbP\nieXGrPhxcQW5JgMxlbIpJlM+xVRqpA3Wbe9hZ/le3i/dTntvB34evqxOWM6K+KX4eIzv0y7au3rZ\ncbySLYfLaL7Yg9ViIWtGBGsXJpAcM3ZvTNRkIKZSNsVkyqeYSo30GNDV18X28r1sLd1BR18n/p5+\nrElYwfL4JXjbvNxd3ojqszs4kFfDuwfLKK+7CMC0ycGsXTiZjNRwrGPsjYmaDMRUyqaYTPkUUxnX\nSDc0NHD33Xfz0ksv0dXVxUMPPURSUhIA9957L+vWrbvmY4zXwdbZ18kHZbvZVraLzr4uAjz9uSlx\nJTlxi/GyjZ99xFfjdDrJK2ni3YOlnCpqBCAq1Lf/gpfZ0XiNkQteNBmIqZRNMZnyKaYyqpHu6+vj\nO9/5DgUFBbz44oscPnyY9vZ2vva1rw3qccb7YOvo7WBb2S4+KNtNl72bQK8A1iauYmnsQjzHeUMN\nUF53kfcOlrE/r/+CF/9JnqzKjGNVZjyBfmav0GsyEFMpm2Iy5VNMNdhG2vbkk08+OTKlwHPPPcfn\nPvc58vPzueGGG3j//fc5fvw4f/3rXzly5AiLFy/G0/PajWJHR89IlWgET5sn00JSWRq3CJvFRkFL\nMbn1eeyvPoKn1YNY/xhslvF3dNxlgX5ezJsWwbKMWDxsVi5UtXKquJEtR8ppaO0iKnQSAb5mNtR+\nft7jPp8yNimbYjLlU0zl5ze496yNWCP9+uuv43Q6Wb9+Pa+//jorV64E4I477uChhx7i/Pnz7Ny5\nk5ycnGs+1kQZbF42L6aHprI0diEWLBQ0F3GyPo8DVUfwsnkS6x+NdRw31D5eHsxKCmV1ZjzB/t5U\n1l/kTEkT245WUFzVSrC/N2FBPkZd8KLJQEylbIrJlE8x1WAb6RHb2vHlL395oOHJz88nOTmZF198\nkbCwMAAKCwt55plneOmll0bi6ceF5q5W3jrzHu8W7qTX3kuEXxh3zljLiuTscb+HGsDucHLgVBWb\ndhRy5kL/PuqU+CDuXJFKzqXVaxERERF3GZVTO77yla/w1FNP8cgjj7BhwwbmzJnDH/7wB6qrq/n+\n979/ze+f6PuoWrpbea/kA3ZXHqDP0UeQVwCrE1awNHbRuD8277KCihbePVjK0XN1OJ0QGujNDfPi\nWJ4R69ZtH9rnJ6ZSNsVkyqeYyqg3G152uZHu6uri6aefxtPTk4iICJ5++mn8/Pyu+f0abP1autvY\nVraTXRX76Lb34Ofhy8rJS1kZvxTfcXz1+JVqmzp4/1A5u3P7L3jxsFnJnhXF6vnxJEYPLvyuoMlA\nTKVsismUTzGVkY30cGmwfVR7bwfby/ewvWw3HX2deNu8WB63hFUJywj0Gv1m0h06unrZnVvNtqPl\n1DZ1ApAaF8Tq+fHMnx4xats+NBmIqZRNMZnyKaZSIz2BdPV1sbvyAFtLd9La04an1YPFMQtZk7CC\nsEkh7i5vVDicTk4VNbL1SDm5RQ0ABPl7sXJuHCvnxhLkP7JbXzQZiKmUTTGZ8immUiM9AfXae9lf\nfZj3S7bT0NWE1WJlYVQmNyauJNov0t3ljZqaxg62Ha1gd24lnd12bFYLWTMiWT0/npTYwBE57UOT\ngZhK2RSTKZ9iKjXSE5jdYedwzXHeK/mA6o5aLFiYGzGbtUmrmBwQ5+7yRk1XTx/7TlWz9WgFlfXt\nACRGB7A6M55FsyLx9HDdrYmaDMRUyqaYTPkUU6mRFhxOByfr83j3wlZK2yoAmBU2nZsTV5MSnOTe\n4kaR0+kkv6SJrUcrOHa+/7QP/0merJgbyw3z4ggN9Bn2c2gyEFMpm2Iy5VNM5dJGurGxkVdeeYVt\n27ZRUlKC1WolISGB1atXc++99xIaGjrsgq+HBtvQOJ1O8hvP84+SrRQ0FwOQGpzM2sRVzAydZtTF\nJiOtvqWTD45VsPN4Je1dfVgskDk1gtXz45meEDzkvwtNBmIqZVNMpnyKqVzWSL/yyiu899573HTT\nTWRlZREXF4eHhwfl5eUcOHCAv/3tb9x888185StfcUnhn0WDbfgKmot5r+QDTjfkA5AQEMfaxFXM\niUgb17clflxPr50DZ2rYeqSc0pqLAMRF+LE6M57FadF4ew1u24cmAzGVsikmUz7FVC5rpLds2cKa\nNWs+85vfffdd1q5dO6gnHAoNNtcpa6vg3ZIPOF6bixMn0b6R3JR4A1lRc7FZXbd32HROp5PCila2\nHCnjyNk67A4nvt4e5MyJYVVmHJEh13cutyYDMZWyKSZTPsVULt8j7XA4sFr7VywbGxtHbTvHlTTY\nXK+mvZb3SrZzsOYoDqeDMJ8QbkxcSXZ0Fp4T4PrxKzW1dbPjeAXbj1fS2t6DBUhPCWPN/HhmJYdi\n/YxtH5oMxFTKpphM+RRTuayRbmpq4uGHH+ZLX/oSt9xyCwAPP/wwjY2N/OIXvyA4OHj41V4nDbaR\n09DZxNayHeytPEivo49ArwBWJywnJzZ7wlw/flmf3cHh/Fq2HimnsLIVgKhQX1ZlxpGTHsMkb49P\nfI8mAzGVsikmUz7FVC5rpL///e8zdepUHnjggYEVaafTyS9+8QtKS0v5yU9+Mvxqr5MG28hr7Wlj\nW+kudlXso8vejZ+HLysuXT/uN0GuH79ScVUr246Uc+BMLX12B95eNpbMjmZ1Zjyx4R9ea6/JQEyl\nbIrJlE8xlcsa6dtvv5233nrrqt902223sXnz5sFXN0QabKOno7eDHeV7+aBsN+19HXjbvFgWt5hV\nk5cT5D0xrh+/UmtHD7tOVLLtaAVNbd0AzEoKYXVmPBmp4URFBSqfYiQ1KmIy5VNMNdhG+pOvVV+H\nyyvUMv74evqyLnkNN0xexp7KA2wt3cGW0h1sL9/DkpgFl64fH/198u4S6OvFrYuTuHlRAsfO1bPt\naDl5F5rIu9BEeJAPt+ZMYd6UUAL9vNxdqoiIiIwy25NPPvnk1T6xc+dOAgICSEpK+sTH8/PzufPO\nO0ehvH4dHT2j9lzSz8PqwZSgRJbHLyXEO4jKi1WcaTrPjoq91HXWE+4TSuAEWqG2WizEhvuxND2G\n+dMicDgTjL91AAAgAElEQVSdFFa2cDS/lvcPl1Fe146fjwdhQT4T6nxuMZefn7d+doqxlE8xlZ/f\n4N4f9qlbO4qKivjqV79KTk4OGRkZOJ1OcnNz2blzJ7/5zW+YOXOmSwq+Hnr5x/3sDjtHak/wXskH\nVLXXADAjZCqrEpYza4Jd7nJZR1cvuSXNbN5dREVd/1XkkcGTWD43lpz0GK1Si1vppXMxmfIppnLp\n8Xe1tbX88Y9/5MyZM1gsFmbPns0//dM/ER4ePuxCB0ODzRwOp4MzjefYUrqTc00FAMT4RbF68nKy\noufhaR3SbqExKyIigNraVgorW9lxvIJDZ2rp6XNgs1qYNy2ClXNjmZEY8plH6ImMBDUqYjLlU0zl\n8nOkTaDBZqaytgq2lu7iSO1xHE4HgV4BrIhfQk5cNv6eftd+gHHg45NBR1cv+07XsP14hVapxa3U\nqIjJlE8xlRppGXVNXc1sL9/D7ooDdNm78LJ6kh2zgFWTlxHhG+bu8kbUp00GTqdTq9TiVmpUxGTK\np5hKjbS4TVdfF3urDrGtdBdN3c1YsJARkcbqhOVMCUpyd3kj4nomA61SizuoURGTKZ9iKjXS4nZ2\nh53jdblsKd1JaVs5AMmBCaxOWEFGRBpWy/g5PnEwk4FWqWU0qVERkymfYiqXN9IrVqygtraWwMBA\nnE4nbW1tBAYGEh8fzzPPPDMqp3dosI1NTqeTguZitpbt5FT9GZw4CfcJ5YbJy8iOyRoXV5APdTLQ\nKrWMNDUqYjLlU0zl8kb6+9//PjfffDNr1qwBYMeOHfzjH//g/vvv5+mnn+bVV18derXXSYNt7Ktp\nr2Vb2S4OVB+h19GHr8ckcuKyWRm/lCDvQHeXN2TDnQy0Si0jRY2KmEz5FFO5vJG+4447ePPNNz/y\nsfXr1/P6669z11138cYbbwy+ykHSYBs/2nousqtiHzvK93Kxtx2bxcaCqHmsSlhGnH+Mu8sbNFdO\nBlqlFldSoyImUz7FVC6/IjwwMJBXX32V22+/HYfDwdtvv01QUBCFhYU4HI4hFyoTU4CXP7ck38ia\nhJUcqj7K1rKd7K8+zP7qw8wMncbqhOXMCJk6IS948fXxZPX8eFZlxn1klfqv2wt5Y2eRVqlFREQM\nc80V6ZqaGp599ln27NmDh4cHS5Ys4bHHHuPdd98lMTGR5cuXj3iR+q11/HI4HZxuyGdr6U7ONxcB\nEOcfw6rJy8iKmouH4Re8jPSqilapZai04icmUz7FVCN2akdzczPBwcFDKmq4NNgmhtLWcraW7eRo\n7UkcTgdBXgGsjM8hJ24Rvp6+7i7vqkZrMvisvdQr5sYyU6vU8jFqVMRkyqeYyuWN9JkzZ/jud79L\nV1cXf/rTn/jyl7/Mv//7v5OWljasQgdDg21iaexqYnvZHvZUHqDL3o2XzYslMQu4YfIywieFuru8\nj3DHZHC1VeqwQB+WpkezJD2GyOBJo1qPmEmNiphM+RRTubyRvu+++3j66af57//9v7Np0yb27NnD\nz372M/76178Oq9DB0GCbmDr7OtlTeZAPynbT3N2CBQtzI2azOmE5yUGJ7i4PcO9kcHmVeueJSg7l\n19LdYwdg+uRglqbHkDUjAh8vs7fGyMhRoyImUz7FVC5/s2FnZycpKSkD/7106VJ+/OMfD74ykUGa\n5DGJNQkruCE+h6O1J9latpNjdbkcq8tlSlAiK+NzmBsxG5vV5u5S3cJisZAaF0RqXBD3rZnG4bO1\n7MmtIr+0mbNlzbzy/jmyZkSQkx7DtMnBE/INnCIiIiPpmo10cHAw+fn5A5PwW2+9RVBQ0IgXJnKZ\nzWpjQfQ8sqLmcr65iK2lOzjVkE9RSwnB3kHkxGazNG4hgV6D+y1yPPH2srE0PYal6THUNXey91Q1\ne3Kr2JNbzZ7caiKCfVg6O4Yl6dGEB2nrh4iIiCtcc2tHaWkpjzzyCLm5ufj4+JCYmMhPf/pTpkyZ\nMlo16uUf+YSajjp2lu9lf9VhuuzdeFhszIvMYEX8EpKDEkatDpNfnnQ4nZwrbWZ3bhWHz9bS09t/\nXOXMxBBy0mPInB6Bt+fEXM2fCEzOpojyKaYasVM7Ojo6cDgc+Pv7D6mw4dBgk0/T1dfFweqj7Cjf\nS3VHLQCJAZNZEb+EzKgMPEf4+LyxMhl0dvdxOL9/68e58hYAfLxsLJwZSU56LClxgdr6Mc6MlWzK\nxKR8iqlc1kjff//9nzmxvvzyy4OrbBg02ORanE4nZ5sK2FG+l9z6PJw48ff0Iyd2ETlx2YT4jMzR\njWNxMqhp6mBPbjV7T1XR2NoNQFSoLznp0SxOiyY00MfNFYorjMVsysShfIqpXNZIHzx4EIA///nP\n+Pj4cOedd+Lh4cHmzZvp7u7mX//1X4df7XXSYJPBaOhsZGfFPvZWHqSjrxOrxUpGeBor4peSGpzs\n0pXXsTwZOBxOzpQ2sedkFUfO1dHb58BigbSkUJamx5A5LRxPD239GKvGcjZl/FM+xVQu39px9913\n89prr33kY+vXr+f1118ffHVDpMEmQ9Fj7+FwzXG2l++h4mIV0H9r4oq4JSyInoeXbfi3Ao6XyaCj\nq4+D+TXsya2isKIVAF9vDxbOiiInPYbkmABt/Rhjxks2ZXxSPsVULj/+rru7m+LiYpKTkwE4e/Ys\nfX19Q6tOZBR52bxYEruQxTELKGy5wI7yPRyvO8V/nn2NTYV/Z3HsApbHLSZ8Upi7S3U7Xx8PVs6N\nY+XcOKoa2ge2fmw/VsH2YxXEhvux9NLWj2B/b3eXKyIiYoRrrkjv3r2bRx99lKioKBwOB42Njfzb\nv/0bWVlZo1WjfmsVl2nubmFXxX72VBygrfciFizMDp/BirilzAidOuhV1/G8qmJ3ODhd3MSe3CqO\nna+jz+7EarEwe0ooOekxZKSG4+lhdXeZ8inGczZl7FM+xVQjcmpHT08P586dw2KxMH36dDw8Rve2\nNA02cbVeRx/Hak+yvXwPJa1lAET5RrA8fgmLouczyeP63nA3USaDi529HDxTw+6TVVyo7v//9fPx\nIHtWNEvnRJMYpa0fppko2ZSxSfkUU7mskX7sscd48MEHB7Z0fNz58+f57W9/y3PPPTf4KgdJg01G\n0oXWUnaU7+VozQn6nHZ8bN4sipnPirglRPlFfub3TsTJoLzuIntyq9h3qprWjl4A4iP8WDI7hkWz\noggJ0NYPE0zEbMrYoXyKqVzWSNfU1PDss89SV1fH/PnziY6OxmazUVlZyYEDB4iOjubRRx8lNjbW\nJYV/Fg02GQ1tPRfZU3mAXRX7ae7uP2t5RshUVk5eSlrYDKyWT25jmMiTQZ/dwamiRvbkVnG8oB67\nw4kFmJ4QTHZaNFnTI/D18XR3mRPWRM6mmE/5FFO5fGtHaWkpH3zwASUlJVitViZPnswNN9xAQsLo\n3R6nwSajye6wc6L+NNvL9lDYUgxAmE8oy+MXsyRmAb6evgNfq8mgX1tHD4fza9mXV0PBpQtfPGxW\nMlLCyE6LYk5KmI7SG2XKpphM+RRTjdjNhu6kwSbuUt5WyY7yvRyqOUavoxdPqycLo+exIn4pcf4x\nmgyuor65k/15NezPq6Gyvh2ASd4eZE2PIDstmukJwVi1n3rEKZtiMuVTTKVGWmQEtPd2sLfyILsq\n9tHQ1QRAanAyt81cTbL3FDxG+CryscjpdFJWe5H9eTUcyKuhqa3/FsWQAG8WzYwiOy2KyZH+epPi\nCFGjIiZTPsVUaqRFRpDD6eBU/Rl2lO8lv+k8AP6efiyOWcCS2IVE+oa7uUIzOZxOzpU2sz+vmsP5\ndXR0959FHxvuR/asKLJnRREePMnNVY4valTEZMqnmGpEGumOjg5KS0uZPn06nZ2d+Pr6XutbXEqD\nTUxU3V7L0aZjbC/aR3tfBwDTQ1JZGruIjIg0rVJ/it4+BycLG9ifV82Jggb67A4AUuOCyE6LYsGM\nSAJ8h3/r5ESnRkVMpnyKqVzeSO/bt48f/vCH2O12Xn31VW6//Xaef/55cnJyhlXoYGiwiakiIgKo\nrG7kWF0ueyoPUNDc/+ZErVJfn46uPo6crWV/Xg35JU04AZvVQlpyKNlpUcxLjcDbS29SHAo1KmIy\n5VNM5fJG+p577uGXv/wlDzzwAJs2baKgoIDvfe97vPXWW8MqdDA02MRUH58Mqttr2VN5gANVR7RK\nPUhNbd0cPFPDvtPVlNZcBMDb00bmtHCy06KZlRSCzaqbFK+XGhUxmfIpphpsI33NWd3hcBARETHw\n36mpqYOvSmSCiPaL5O6pn+P2KTcPrFKfbSrgbFOBVqmvISTAm7ULE1i7MIHK+vb+kz9OV7PvdA37\nTtcQ6OvJgktvUpwSE6g3KYqIiNtds5GOjo7mgw8+wGKx0NrayiuvvDIql7CIjGWeNk8WRmeyMDrz\nI6vU75du5/3S7VqlvobYcD/WL5/CXcuSKaxsZf/pag6eqWXrkXK2HiknMngS2WlRLJoVRUyYn7vL\nFRGRCeqaWzsaGhp49tln2bt3L06nk0WLFrFhwwYiIz/76uQrv//uu+/mpZdewmaz8eijj2K1Wpk6\ndSobN268rsfQyz9iqsG8PNlr79Ve6mHoszvIu9DI/tM1HD1fR09v/5sUE6MDWDwrioWzogj21/Xk\nl+mlczGZ8immcvke6Z/97Gd897vfHVIxfX19fOc736GgoIAXX3yRn/zkJ3zjG98gKyuLjRs3smzZ\nMtasWXPNx9FgE1MNdTLQXurh6erp4/j5evbn1XCqqBGH04nFAjMTQ1g4M4rMaRH4T5rY15OrURGT\nKZ9iKpc30rfffjtvvvnmkPYjPvvss6xcuZJf//rXPPnkk/zzP/8zO3bsAGDr1q3s3buXJ5544pqP\no8EmphruZKBV6uFr7ejh0Jla9udVU1jRCoDVYmFmUggLZkRO2KZajYqYTPkUU7n8zYbBwcHcfPPN\npKWl4e394cumzz333Gd+3+uvv05YWBhLly7lV7/6FdD/xsXL/Pz8aGu7vkE02P8pkdE03HzGRq/g\n1vQVVLRWs6VwNzsu7B/YS50eNZ3VU5axMC4DD5tWqa8mAkhJDOOLN8+kprGDPScq2X2igtPFjZwu\nbuT/f/csGVMjyMmIJTs9ZkKdUa2fnWIy5VPGg2uuSL/xxhtX/fhdd931mQ/85S9/eWAV++zZsyQm\nJnLmzBlOnToF9K9I79u3jw0bNlyzSP3WKqYaiVUVrVK7Rl1zJ4fP1nLoTC0Xqvv/jWzWj65U+/mM\n35VqrfiJyZRPMZXLt3ZUVlZe9eODObnjK1/5Ck899RQ/+clP+PrXv86CBQvYuHEj2dnZrFu37prf\nr8EmphrpyUB7qV2jtrmTI/m1HMyvpeSKpjotOZSs6ZHMmxY+7ppqNSpiMuVTTOXyRnrVqlVYLBac\nTid9fX3U19czc+ZMXnvttet+ksuNtMVi4YknnqC3t5eUlBSeeeaZ69p7rcEmphqtyUCr1K5T29TB\n4bN1HDpTS0nNR5vqBTMimTc1HN9x0FSrURGTKZ9iKpc30h938uRJXnnlFX784x8P6omGQ4NNTOWO\nyeBqq9SpwclkR2cxL3IOPh46Au561TR1cDi/lkP5tQO3KdqsFmYnh7JgZiRzUyPw9Rmbq/5qVMRk\nyqeYasQbaYDbbruNzZs3D/bbhkyDTUzlzsng8ir13sqDnG8uAsDL5kVmxByyY+aTGjxFt/8NQk1j\nB4fyazmcX0tpbX9T7WGzMDs5jAUzIpk7NZxJ3mOnqVajIiZTPsVULm+kX3jhhY/8d0FBAU1NTfz+\n978ffHVDpMEmpjJlMqjvbORA1WEOVB+hoasJgHCfUBbFzGdRdBZhk0LcXOHYUn1FU1328aZ6ZiRz\nU81vqk3JpsjVKJ9iqhFvpENCQrjtttsICgoafHVDpMEmpjJtMnA4HRQ0F7G/6gjHak/S4+gFYFpI\nKotjspgbMRsv28Q5/s0VqhraB7Z/lNe1A+Bhs5I+pX9PdYahTbVp2RS5kvIppnJ5I/3GG2984qi7\nV155hfvuu2/w1Q2RBpuYyuTJoKuvi6O1ueyvOkxhS/8bFH1s3mRGZrA4NovkwERt/RikqoZ2Dl1q\nqis+3lTPjCQjxZym2uRsiiifYiqXNdK/+93vuHjxIq+++ipf/OIXBz5ut9t5++232bJly/AqHQQN\nNjHVWJkMajvqOVB9hANVR2jqbgYg0jec7OgsFkZnEuIT7OYKx57K+g9Xqivq+5tqTw8r6VPCyJoe\nwZyUMLee/jFWsikTk/IppnJZI/3BBx9w+vTpTzTSNpuNBQsWkJWVNbxKB0GDTUw11iYDh9PBuaZC\n9lUd4kTdKXodfViwMCN0KtkxWWSEp+FpG/tHv422iktN9cEzNVQ19J+kYrNamJEYQua0COZNDSfY\nf3RPUxlr2ZSJRfkUU7l8a0dhYSEpKSkf+VhXVxc+Pj6Dr26INNjEVGN5Mujs6+RIzQn2Vx2huLUE\ngEkek5gflcHimCwSAyZr68cQVNRd5Oi5Oo6eqx84pxogJTaQzGkRZE6LICrUd8TrGMvZlPFP+RRT\nubyRfvfdd/nFL35BR0cHTqcTh8NBZ2cn+/fvH1ahg6HBJqYaL5NBdXvtwNaPlp5WAKL9osiOns/C\n6EyCvAPdXOHY1NDSxdHzdRw7V8fZsmYu/7SNC/dj3rRwMqdFkBgVMCK/sIyXbMr4pHyKqVzeSK9Z\ns4ZnnnmGl156iW9+85vs3r2bpqYmfvjDHw6r0MHQYBNTjbfJwO6wk99UwP6qQ5ysO02f047VYmVW\n6DQWxWSRHj4LT11LPiRtHT2cKGjg6Lk6Tl9opLfPAUBooDfzpvavVE+bHITNanXJ8423bMr4onyK\nqQbbSF9zRgwMDCQ7O5ujR4/S1tbGww8/zPr164dcoIiYy2a1kRY2nbSw6bT3dnCk5jj7q45wqiGf\nUw35+Hn4khU9l+yYLCb7x2nrxyAE+HqRMyeGnDkxdPfYyS1q4Nj5Ok4UNLD1SDlbj5TjP8mTjNQw\nMqdGkJYcipenzd1li4jIZ7hmI+3j40NxcTEpKSkcPHiQ7Oxs2tr0W6TIeOfn6cvy+CUsj19C5cVq\n9lcf5mD1UXaU72VH+V5i/aJZHJPFguhMArz83V3umOLtZSNrRiRZMyLpszs4W9rcv6/6fB17cqvZ\nk1uNl6eV9OQwMqdFMCc1DD83ngAiIiJXd82tHYcOHeIPf/gDP/3pT7n33nspLS3l85//PI888sho\n1aiXf8RYE+3lSbvDTl7jWfZXHSa3/gz2S1s/ZofNZFF0JmnhM7X1YxgcTifFVa0Db1asafzwBJDp\nCcGXTgCJICTg2ieATLRsytiifIqpXL5H+o9//CP33nvvwH+3tLSM6q2GoEZazDWRJ4OLPe0cqjnG\ngarDlF2sBGCShw/zItJZED2P1OApWC2u2e87UVXWt19qquu4UP1hzpJjAsm89GbFmDC/q37vRM6m\nmE/5FFO5vJG+7bbb2Lx587CKGi4NNjGVJoN+5W2VHKo5xuGa4zR3twAQ7B3E/KgMFkRlEu8fo/3U\nw9TY2sWx8/UcPVfH2dJmHJd+dMeE+Q4cq5cU/eEJIMqmmEz5FFO5vJH+L//lv9DT00NGRgbe3h++\nnPjtb397aBUOgQabmEqTwUc5nA4Kmos5VH2MY3W5dPZ1Av1H6S2ImseCqLmETQp1c5Vj38XOXk4U\n9DfVp4sb6bl0AkhIgDeZUyOYNy2cpZmTaWpsd3OlIlenn51iKpc30i+88MJVP65GWkSTwWfpdfRx\nuiGfQ9XHONVwhj5HHwBTgpJYEDWPzMg5+HtdfVuCXL/uXjunihovnQBST3tX/9+z/yRP0pJDyUgN\nY3ZyGP6T9GZFMYd+doqpXN5IA3R0dFBaWsq0adPo6urC13fkb+W6kgabmEqTwfXp7OvkWO0pDtcc\n41xTIU6cl86nns6C6HnMCZ+Fl83L3WWOeX12B+fKmjl2rp4TRQ3UN/e/ImC1WEiNDyIjNYyMlHBi\nwny11UbcSj87xVQub6T37dvHD3/4Q+x2O6+++iq33347zz//PDk5OcMqdDA02MRUmgwGr7m7hSM1\nJzhUc4yytgoAvGxeZITPZkH0PGaEpGKz6vzk4QoP9+dYXjUnCuo5UVhPUUUrl3/YRwT7kJESTkZq\nONMmB+PpoTeFyujSz04xlcsb6XvuuYdf/vKXPPDAA2zatImCggK+973v8dZbbw2r0MHQYBNTaTIY\nnur2Gg7VHOdQ9TEauhoBCPD0JzMqgwVR80gKnKyV0yH6eDZbO3rILWzgRGEDp4oa6OqxA/1nWs9O\nCmVOahhzUsIJ8tMrAzLy9LNTTOXymw0dDgcRERED/52amjr4qkREriLaL4rPTVnLbck3UdxayqHq\nYxytPcGO8j3sKN9DxKQwsqLmsSB6HlG+Edd+QPlUgb5eLE2PYWl6DH12B+fLmjle0MCJgnqOnKvj\nyLk6LEBybCAZKWFkpIYzOdJfv8iIiHyGazbS0dHRfPDBB1gsFlpbW3nllVeIjY0djdpEZIKwWCxM\nCUpkSlAin5/6Oc40nuNQzTFO1p3mnQtbeOfCFhIC4lkQPY/5kXMJ8h7cioF8lIfNysykUGYmhfLF\n1alUN3ZwoqCBk4X1nCtroaiylTd2FRMS4E1GShhzUsOZmRiCt64sFxH5iGtu7WhoaODZZ59l7969\nOJ1OFi1axIYNG4iMjBytGvXyjxhLL0+OrK6+bk7Wn+ZQzTHyG8/jcDqwYGF6SCoLoueRETGbSR4+\n7i7TSEPNZkdXL6eKGzlRUM/JwoaBU0A8PazMTAwhIzWcjJQwQgP19y5Dp5+dYqoRObWjr6+P/Px8\nPDw8mD59+qi/1KfBJqbSZDB62noucqT2BIerj1PcWgKAp9WD2eGzWBA1j7Sw6XjoevIBrsim3eGg\nsKKVE4X1nCxooKL+w3OpJ0f69zfVqWEkxwRi1RYQGQT97BRTubyR3rNnD4888giRkZE4HA5aW1v5\n93//d+bMmTOsQgdDg01MpcnAPeo7GzhUfZxDNceo6agFwNdjEvMi5zA/MoPU4OQJf/LHSGSzrrmT\nk4X9+6rzS5vos/dPHwG+nsxJ6T9aLy05lEne+oVGPpt+doqpRuSK8Oeff54ZM2YAkJuby8aNG3n9\n9deHXuUgabCJqTQZuJfT6aTsYgWHqo9xpOY4LT39/xb+nn7MjUxnfuQcUoOnYLVMvOPdRjqbXT19\n5F1ounS8XgOt7T0A2KwWpicEXzpeL4zIkNG9d0DGBv3sFFO5/NQOLy+vgSYaID09ffBViYiMAIvF\nQkJAPAkB8dyVeisFzUUcrc3leG0uuyv2s7tiPwGe/syNTCczcg6pwckTsqkeCT5eHmROiyBzWgQO\np5OS6rb+prqggbwLTeRdaOKPW88TFepLenIos6eEMj1Bb1gUkfHlmivSTz75JL29vXzhC1/AZrPx\nt7/9jfLycr7yla8AsGDBghEvUr+1iqm0qmImh9NBQXMRR2pPcrw2l4u9/Xt7A7z8mRfR31SnjPOm\n2p3ZbGrr5mRhf1N9pqSJ7t7+M6s9bFamTw5i9pQwZieHEhvup+P1Jij97BRTuXxrx/333//p32yx\n8PLLLw/qCYdCg01MpcnAfHaHnYLmYo7WnuB43amBpjrQK4C5A0110rhrqk3JZp/dwfnyFk4VN3Cq\nqJGy2osDnwsJ8CZ9Siizk8OYlRSCr4+nGyuV0WRKPkU+bkRO7XA3DTYxlSaDscXusHO+uYijtSc5\nXpdLe28H0N9Uz4tMJzMygylBieOiqTY1m80Xuzld3EhuUQOnixsHjtezWixMiQu8tA0kjMToAJ0E\nMo6Zmk8RlzfShw8f5ve//z0tLS0f+fhorERfpsEmptJkMHbZHXbONRdyrPYkx+tODTTVQV4BzI2c\nQ2bknDHdVI+FbDocToqrWzld1EhucQNFla1cnpH8J3kyOzmUtORQZieHEuTv7d5ixaXGQj5lYnJ5\nI71mzRq+/e1vf+I2w4ULFw6+uiHSYBNTaTIYH+wOO+eaCjlae5ITdado77vcVAcOrFQnByWMqaZ6\nLGbzYmcvZ0qayC1q4FRRA80XewY+lxDlz+zkMNKnhJISF4SHbez8W8gnjcV8ysTg8kb6vvvu45VX\nXhlWUcOlwSam0mQw/tgdds42FQysVHf0dQIQ7B3U/0bFqDkkBZrfVI/1bDqdTirq2zlV1L8N5Hx5\n88C51T5eNmYmhjB7ShjpyaGEB09yc7UyWGM9nzJ+ubyR/sc//sGWLVvIzs7Gw+PD0/LuvPPOoVU4\nBBpsYipNBuOb3WEn/1JTfeLjTfWlleqkwMlGNtXjLZvdPXbyS5s4VdTIqeIGapo6Bz4XHerL7Et7\nq6cnBOuIvTFgvOVTxg+XN9KXj7mLi4v7yMefe+65QZY2dBpsYipNBhNHn6OPs00Fl7Z/nKbzUlMd\n4h18qanuX6k25Ti38Z7N2qYOThU3cqqo8dOP2JsSRmyYrzH/JvKh8Z5PGbtc3kivW7eOd955Z1hF\nDZcGm5hKk8HE1OfoI7/xPMdqczlRf4rOvi7gw6Z6XuQct69UT6RsDhyxV9TAqeKPHrEXGujN7ORQ\nZiWFMiMxhEBfLzdWKpdNpHzK2OLyRvqJJ55g1apVLFu27CNbO0aTBpuYSpOBXG6qj9ae5GT96YGm\nOtArgDnhs8iImM20kBQ8rKP783MiZ7Oprf+IvVPFHz1iD2BypD+zkkKYmRjKtMlB+Hi5Z16b6CZy\nPsVsLm+kc3JyqK+v7/9iiwWn04nFYuHMmTNDr3KQNNjEVJoM5Eq9jj7yG89xou40ufV5A5e/TPLw\nIS1sBhkRs5kVOh0fj5E/yk3Z7OdwOCmpaSPvQiN5F5o4X95Cn90BgM1qISU2kFlJocxMCiE5JlCn\ngYwS5VNMpQtZREaRJgP5NHaHnaKWC5yoP82JutM0djUB4GH1YEbIVDIiZpMePpMAL/8ReX5l8+p6\nesSp/2cAACAASURBVO0UVLSQd6GJMyWNXKhq4/Ik6O1lY8bkYGYmhTIrKYQ4XWE+YpRPMZXLG+me\nnh5++9vfUlxczBNPPMHvfvc7HnzwQby8Rm+fmQabmEqTgVwPp9NJ+cVKTtSd4kTdaSrbqwGwYCEl\nOImMiNlkhKcRNinUZc+pbF6f9q5e8kuayStp5MyFJqobOwY+F+jnxazEEGYmhTArMZSwIB83Vjq+\nKJ9iKpc30hs2bCA0NJRt27bxl7/8hY0bN+J0OvnpT386rEIHQ4NNTKXJQIaitqOek/WnOVF3iuKW\nUpyX1kTj/WPJiEgjI2I2sX7Rw1oNVTaHprG1a2C1Ou9CEy3tH14KExUyqX8bSGIIMxJD8J/k6cZK\nxzblU0zl8kb6rrvu4o033uDOO+9k06ZNOJ1OPve5z7F58+ZhFToYGmxiKk0GMlwt3W3kXtr+cbap\nALuz/xi38ElhZIT3N9VDuVVR2Rw+p9NJZUMHeRf6V6vzS5vo6un/97EACdEBzLq0Wj01PggvnV99\n3ZRPMdVgG+lrvl3ZYrHQ09MzsDLS1NSkPWMiIi4S5B1ATlw2OXHZdPZ1crrhLCfqTnG6IZ+tZTvZ\nWraTAC9/5oSnkRGRxrSQVDxH+QSQicpisRAX7kdcuB83Zk3G7nBwoerDNy4WVLRQUt3GO/tL8bBZ\nmRofxMzEEGYlhZIUHYDVqrlSZLy75or0pk2b+Mtf/kJJSQnr1q1jy5YtfOtb3+Kee+4ZrRr1W6sY\nS6sqMlJ67b2cbSrgRN0pTl5xAoiPzYe0sOlkRMwmLWw6Ph5X37erbI687h4758ubybvQRF5JI6U1\nH55f7evtwfSEYGZdeuNidKguhrmS8immGpFTOwoKCvi/7d17dJv1fT/wt6627pJt2bIky7Z8i3Pt\nQg5wBmRLRs8hZ1tLSrcDrC202YD9KKOFQhLinkASLk1Kz2gK6y4da6Et3QYMtnO6nZPBygYuAVYy\nJ46dxJYlW/JNtnX1Rbfn94fkxzaEECu29Nh+v87xcaJHkr9KPtbz9sff5/t99913kU6ncfXVV2Pd\nunV5DzAf/GYjqeLJgAohI2TQG/bmLlY8jbHZFUBkCrSUNWGLdQM2V2xYsAIIa7PwopMJdPlC4lSQ\nkdDcNuYWQwnWucxocVmwzmWG1axZ08Ga9UlSteRB+r777sPx48cX3HbHHXfgxz/+8eJHlyd+s5FU\n8WRAhSYIAvyxwWyoDp6BPzYIILsCiNtUJ16s2OqqZW0WWTA0hU7vRDZYeycQnUyKxyyGErS4zGip\nMWOdy4JKy9oK1nzvJKlasiB97733oqurCyMjI6isrBRvT6fTsNlseOmll65spIvAbzaSKp4MqNiC\nU2M4NZpdAaQ37BVXAKk1OdBqbsHGilbUFnm7cpq7cLHbN4EuXwjnfBOIzAvWZr0aLS4LWlzZYF21\nyoM13ztJqpYsSMdiMYRCITz++ONoa2sTb1cqlSgvLy/oduH8ZiOp4smApCSSiKJjtBOngtkVQFKZ\n7NbYepUOG8tbsbGiFevKmqD5hHnVVDiCIGAwF6y7+0Po8oUQmbfUnkmnFkN1i8u86uZY872TpEpS\nOxtmMhm0tbXB4/FALpfjscceQzKZxN133426ujoAwG233YZdu3Zd8nn4zUZSxZMBSZXBrML/nP8N\nTgfP4vRYFyKJbJ0qZAo0md3YWNGKjeWtsGrLizxSArLBemh8Et2+ELp8E+j2hRasYW3UqbNzrGuy\n86yry1d2sOZ7J0mVpIL0iRMn8Oabb+Lxxx/HyZMn8Q//8A/YsWMH4vE47rzzzst+Hn6zkVTxZEBS\nNb82M0IG/VF/LlSfhS/qF+9Xpa3Exop12FTeCrepDgo510KWAkEQMDwxJYbqLt8EwrF5wVqrQnPu\nwsWWGjPsK2w7c753klRJKkgD2a60XC7Hq6++ipMnT6KkpAQejwfpdBq1tbU4cOAAtFrtJZ+D32wk\nVTwZkFRdqjZDM2GcCXahY+wsusbPI5nJztXVKDXYUN6CjeWtWF/eAp3q0u/NVDiCIGDkI8E6NC9Y\nG7QqsVvd4soGa7mEgzXfO0mqJBekAWDfvn04ceIEvv/972N4eBgtLS1Yv349fvjDHyIcDmPv3r2X\nfDy/2UiqeDIgqbrc2kykkzgf6sHp4Fl0BM9iYiYEYG4VkE0V2bnVNm3liup4rnaCIGAkNIVuX0i8\ngHEiOiMe12tmg3V2nrXdKq1gzfdOkipJBmkAGBsbwx/90R/hpZdeElcB6enpwZEjR/D8888XYghE\nRHQJgiCgPxzAB4EO/G+gA+fGPOIqIJW6cmy1b8JV9k1Yb22CSqEq8mhpPkEQMDQ2idM9QXT0BNHR\nM4bgvHWsDVoVNjZUYKO7HOvry1FvN0Kh4EouRFdqWYP0a6+9huHhYdx1112IxWL4/Oc/j4qKChw4\ncACbN2/Giy++iKGhIXzrW9+65PPwp1aSKnZVSKqWojajiRg6x7rRMXYWZ8fOYTo9DQBQK9RoLWvG\npvJWbKhYB6N6cR0cWn6CICAYnhangnT7JjAWmetYl6gUaHAY0eQ0o8lpgttuRKm6cKtx8b2TpEpS\nHempqSns378fwWAQqVQKd911F6qrq3Ho0CGoVCpYrVYcOnQIOp3uks/DbzaSKp4MSKqWujZTmRR6\nQn04PXYWHcFOjE6NicdqjTXYlFtez6m3cwqIRAVDU+juD+H8QBjnB0IYHJsUj8llMriq9GKwbqox\nw6RTL9tY+N5JUiWpIL1U+M1GUsWTAUnVctfm8ORodhWQ4FlcCHuQETIAAJPaiI0VrdhU0YoWSyPU\niuULY3RlopMJXPCHxWDdNxhFOjMXCSotGjTPC9ZLuUkM3ztJqhikiQqIJwOSqkLW5mRyCmfHu9ER\n7ELnWBfiqWynUyVXosncgPXlLWgta0aV1sputYQlkml4BiO5YB3GBX8YUzMp8bhBq5rrWDvNcFXp\nocxznjXfO0mqGKSJCognA5KqYtVmRsjAE/bh9Fi2Wx2ID4nHykotWF/WjPXlLWi2NHKHRYnLZAT4\ng3GcH8hOBznXv3BlELVSDrc9N8+6xoQGuwmaksubZ833TpIqBmmiAuLJgKRKKrU5MR3C2fFz6Bw/\nh67x85hKZVeSkMvkcJtqsb6sBa3lzXDq7ZDLuIqE1I2Fp8VgfX4gBP9oHLMhQiYDair1C7rWFkPJ\nRZ9HKvVJ9FEM0kQFxJMBSZUUazOdScMb7Ufn2Dl0jnfDFxkQl9czqPRoLW9Ga1n2w6DWF3m0dDni\n00n0zM6z7g+hdzCKVDojHq8wlYod6yanGdXlWshlMknWJxHAIE1UUDwZkFSthNqMJeLomjiPzrFu\ndI53I5qIAchuBlNjcIhzq+uNLm5dvkIkUxl4h6ILutbx6bl51rpSJZqcZmxutsJmKkV9tRElav7f\nknQwSBMV0EoIK7Q2rbTazAgZ+GNDODvejc6xbvSE+8SVQDTKUrRYmrC+rBmt5c0oK7UUebR0uTK5\njWLmB+vR0LR4XC6TwWnVocGRXcu60WFC5RKuDkK0WAzSRAW00sIKrR0rvTanU9M4N9GDzvFz6Bzr\nxtj0uHjMpqvKXrRY1oJGcz13WVxhJqIzCMYS+M3ZYfQEwugbiiKZmpsOoteo4LYb0eAwocFuRH21\n8bIvYiS6UgzSRAW00sMKrV6rqTYFQcDoVFCcW31uogfJTBIAoJKr0GRxY31ZC9aXNaOSS+ytCPPr\nM5XOoH8khh5/GD2BCHr8YQTDc11rGQDHR7rWVWXZudZES41BmqiAVlNYodVlNddmMp1ET7gPnWPd\nODt+bsESe+WlFrRyiT3J+7T6DMdm0BuI4EIgjF5/BJ6hCBLJua61rlSJersRDXYTGhxGuKuN0Jby\nNxN05RikiQpoNYcVWtnWUm2KS+yNdaNr4sLHlthrLWtBa1kTagwOLrEnEYutz3Qmg4GROHoCYbFz\nPTIxJR6XAaiu0KFh3pSQ6godu9a0aAzSRAW0lsIKrSxrtTbnltjrRuf4uQVL7GmUGjRbGtBiacQ6\nSyOngRTRUtRnZDKB3txUkN5ABL2DEcwk0uJxTYkC7moj3HaTOC1Er2HXmi6NQZqogNZqWCHpY21m\nxRJxdE+cR/fEBXSNX1hw0aK5xJQN1WVNaLE0wlRiLOJI15blqM/ZnRh7/HNd66HxyQX3sZVpxa61\n226Ew6qDQs7fUtAcBmmiAmJYIalibV5ccGoM3eMX0DVxHucmehBLxsVjNl2V2K1usrihUWqKONLV\nrVD1GZtKzutah9E7GMHUzFzXWq2Uw1VlQH21EfXV2c9cfm9tY5AmKiCGFZIq1uanm127unviPLrH\nL+BCqBeJ3GogcpkctQYnWnLd6npTLVRyLsG2VIpVn5mMgMGxOHoCEfQGwvAMRuEfjSMzLwppS5So\nrzagrtqYC9jGT9zqnFYfBmmiAmJYIalibS5eKpOCJ+wTp4L0RfrFTWFUchUazfVosTSipawRTr2d\nFy5eASnV50wyDd9wFJ7BKPoGs3Ot51/ICABmvRr11cZcuM52rnVcJWRVYpAmKiApnQyI5mNtXrmp\n1DQuhHrRPX4B3RMXFiyzp1Np0WxpzE0FaUKFpozTARZB6vUZn06ibzAKz2BE/AjFEgvuU2nRiB3r\n+moDXFUGlKi43flKxyBNVEBSPxnQ2sXaXHrhmQi6J7Khunv8AiZmQuKxslIL1uWCdXNZI4zqxZ2M\n15qVWJ8T0RkxVPcNRuAZjGJyJiUel8tksFfo4LbnpoXYshczKhX8zcVKwiBNVEAr8WRAawNrc3nN\n7rbYletWn5u4gMnU3HQAh746Ow3E0ohGsxulSs6xnW811KcgCBgJTcETyIZqz1AEvqEoEvO2O1cp\n5XBV6VFvM+amhhi4K6PEMUgTFdBqOBnQ6sTaLKyMkMFANICu3IWLPWEPkplst1Iuk6Pe6EKzpQFN\n5gbUm2qhVqzt+bWrtT7TmQz8o3H0DeWmhQQiGPjIxYyaEiXqbHMrhdTZjCgzlnBqkEQwSBMV0Go9\nGdDKx9osrmQ6id6wN7t+9cT5BRvDKGUK1Bpr0GRpQJPZDbepFmqFusgjLqy1VJ+JZBq+kVi2cz2U\n7V4Pf2R9a71GhdoqPWptRtTaDKit0sNq5jJ8xcAgTVRAa+lkQCsLa1NaJpNT6Al7cH6iF+dDPeiP\nBsRgrcgF62azG40WN9ymOpSs8mC91utzcjopdq29Q1F4h6MYDU0vuI+mRJkL1wbUVhlQa+O0kEJg\nkCYqoLV+MiDpYm1K21RqCj2hPpwL9eDChAe+6FzHWi6To85Yg0azG825qSCrbY416/Pj4tNJ+IZj\nYrD2DmU71/NDWolaAVelXgzWtVUGVFdouTvjEmKQJiogngxIqlibK8tUaho9IQ8uhDw4F+pBf9Qv\nrmE9uznM3FSQuhUfrFmfl2dqJoX+kXnhejiKQDCO+clNpZSj5iPhmquF5I9BmqiAeDIgqWJtrmxT\nqWn0hvtyU0F64YsOLAjWLoMTTWY3mixuNJjqUKosLfKIF4f1mb+ZZBoDIzGxa+0dzu7OmM7MxTmF\nXAanVY9a22zANsJp1UHNda4/FYM0UQHxZEBSxdpcXaZT0+gNe3E+1IvzEz3wfiRY1xgc2WBtdqPB\nXA+NxIM163NpJVMZ+IOznevs5/6RGFLpuaX4sutca+c61zYDair1KFUrizhy6WGQJiogngxIqlib\nq9t0agaesDc7xzrUu2A7cxlk2WBtyc6xbjDXQaPUFHnEC7E+l18qncHg2OSCOde+kSgSyblwLQNg\nK8+G65pKffajygCTbnVf7HopDNJEBcSTAUkVa3NtmUkn0Bvuw4WJXpwL9cIb6UdaSAOYDdZ2NJkb\n0GRxo95UC71KV9Txsj6LI5MRMDQ+OTctJBeup2bSC+5n1KnFYO3KfbaVr42LGhmkiQqIJwOSKtbm\n2pZIJxZMBembF6wBwKarQoOpLvthrkd5qaWgaxazPqUjIwgIhqbQPxJD/0gMvuHs57HIwuX4lAo5\nHFbdxwK2tnR1bS7EIE1UQDwZkFSxNmm+RDoBT9iH86Fe9Ib74Al7kcgkxeMmtREN5jo0mOrRYK6D\nQ18NuWz5uo+sT+mLTycxMBKDLxew+4dj8AfjC+ZdA0C5sTQbrKv0YsiuMGtW7HrXDNJEBcSTAUkV\na5MuJZ1JYyAWQE+4Dz2hPvSEPYgmYuLxUkUJ6k21uY51HeqMriXdfZH1uTKlMxkMjU3OheuRGPqH\no4hMJhfcr1StgLNSP697nV2Sr2QFrBrCIE1UQDwZkFSxNmkxBEHA6NQYesJ96A150BPuw/DkqHh8\ndmWQ2akgDaY6GNT6vL8e63N1Ccdm5qaG5D4PjU0iMy9iymRAlUW7oHNdU2mAWa+W1FboDNJEBcST\nAUkVa5OuVDQRQ6/Yse5bsJY1AFRqK7JTQXJda6um4rIDEetz9Uum0vAH4+Kc6+zHxy9s1GtU84K1\nHg6rDvby4q15zSBNVEA8GZBUsTZpqSXSCfRF+sWpIJ6wF9PpGfG4QaXPzbPOdq2dejsU8ouHIdbn\n2iQIAsbC0ws61/0jUYyGFl7YKJMBlRYtnBU6OKw6OK3ZgF1l0UIuX97uNYM0UQHxZEBSxdqk5ZYR\nMvDHhtAT9qA31IcLIQ/CiYh4XC1XoW7ePOt6o0vcgZH1SfPNboXuD8YxMBqDfzQO/2gM8enUgvup\nlHJUl2vFYO206uG06pd0egiDNFEB8WRAUsXapEITBAHj0xO5Cxg96A17EYgPicdlkMFpsKPBVIfP\n1KxDGSpRVmqW1PxYkg5BEBCKJeAfjWEgF6wHRuMIjMWRTC1cOURXqoSjQgeHVQ+nde5zPkvzMUgT\nFRDDCkkVa5OkIJ6chCfsFcO1N9KP1Lz1rE1qA+pMtag3ulBvqoXL4IRasbrWJaallckIGAlNYeAj\nHezhiUl8NNFaDCXzOtc6OCr0sFdooVJ+8vxrBmmiAmJYIalibZIUJdNJeKMDGE0P43TgHDxhL8KJ\nuTqVy+Rw6u2oN7lQb6xFvcmF8tIydq3pUyWSaQyOTYrBeiCY/TwRnVlwv9nVQ5zz5l47rXpYzRrI\n5TIGaaJCYlghqWJtkpTN1qcgCJiYCcET9sET8cIT9qE/6l+wC6NBpUedyQV3Lli7jDUoWcI1rWl1\ni00lEZjXuR7ITRGZmlk4/1qtlKO6QocfPLRzUc+vXMrBEhEREV0umUyGslILykotuKpqC4Bs17o/\nFkBf2IveiA99YR86gp3oCHYCyHatHTrbvCkhrkUtvUdri16jQnONGc01ZvE2QRAwEZ3Jzr0OxjAw\nkv3sH40v+vnZkSa6Auz6kVSxNknKFlufoZlwtmsd9sIT8cIX9SOVmeso6lU61OVCdb2xFrVGp7hC\nCNHlSmcysFWZFvUYdqSJiIhI0swlJvxW5Sb8VuUmAEAqk8JALCCG676ID6fHzuL02FkA2RVC7Hpb\nLlzXwm10waqtgFwmL+bLIIlTyBdfH+xIE10Bdv1IqlibJGXLUZ/hmQj6Ij54wj70hr3wRQeQzCTF\n41qlBnUml7hCSJ2xBhqlZknHQCvfYi82ZEeaiIiIVjxTiRFbrBuxxboRAJDOpOGPDcITmZ0S4kPn\nWDc6x7rFx1RprXAZalBrdKLOWAOn3g4Vl9+jRWBHmugKsOtHUsXaJCkrVn1GEzH0RbId675IP3yR\nAUyn57annr2QsdZYI37YtJWfuNU5rT7sSBMRERFdhEGtx6aK9dhUsR5AdpvzkckgvJF+eKMD8EX6\n0R8LoD8WwP8E3gWQ3eq8xuDIBmuDEy5jDayacq4SQgAYpImIiGiNksvksOkqYdNV4prqqwBkL2QM\nxIfgjWSDdV+kH7253Rln6ZRauIxO1BqcYufaVGIs0qugYmKQJiIiIspRypVwGZxwGZyA41oAwEw6\ngf6oXwzW3ugAzo6fw9nxc+LjzCWmBcHaZXBCq+LFjKsdgzQRERHRJZQo1Gg016PRXC/eFkvG4YsM\nwBsZgDfaD2+kH6eCZ3AqeEa8T6WmYt58ayecegfUvJhxVVnWiw0zmQza2trg8Xggl8vx2GOPQa1W\nY9++fZDL5WhqasLBgwc/9Xl4wQxJFS/oIqlibZKUrcb6FAQBoZkwvNEBeHMXMnqj/ZhKLbyY0a6z\nodboRK2hBi5jDey6Kl7MKCGSutjwjTfegEwmw89//nOcPHkS3/ve9yAIAh544AFs27YNBw8exIkT\nJ3DjjTcu5zCIiIiIlpVMJoOl1AxLqRmfyS3BlxEyGJ0ay17MGOmHNzKAgZgfA7EA3sZJANmpJA5d\nNWoMdrgMTtQYHKjW26CSc9LASrCs/0s33ngjdu7cCQAIBAIwmUx45513sG3bNgDA9u3b8c477zBI\nExER0aojl8lRpbWiSmvF1batALLrWwfiw/BGfPBGBtCfC9beaD+Ad8XH2XU21BgccBkcqDE44NBX\nQ61QF/HV0MUs+487crkc+/btw4kTJ/DMM8/g7bffFo/pdDpEo6vrVztEREREn0QhV6DGYEeNwY7r\nHdnbUpkUBuPD2Qsao370R/3wxwIYiAXQPvgegOy25zZdZS5cZzvXTn01SpWlRXw1VLANWcbGxvDF\nL34Rk5OTePfd7E9c//mf/4n29na0tbUVYghEREREK0I6k4Y/MoTeCR88E/3wTPjgCQ1gJjUj3kcG\nGWwGK+otLrgtLrgtNaiz1ECv1hVx5GvLsnakX3vtNQwPD+Ouu+5CSUkJ5HI5Nm7ciJMnT+Lqq6/G\nW2+9hWuvvfZTn2e1XZBAq8dqvGCGVgfWJkkZ6/PyaGDEBv1GbNBvBGpyc64ng2LXuj/qR3/Mj3ei\n7+Md3/vi48pLyxZMC6kxOGBQ64v4SlaOxV5suKwd6ampKezfvx/BYBCpVAp333033G432trakEwm\n0dDQgCNHjnzq7kD8ZiOp4smApIq1SVLG+lw6giAgODWO/thcuPZFBxBPTi64n7nE9LFwbVIbuUPj\nR0gqSC8VfrORVPFkQFLF2iQpY30uL0EQMDETmuta5+ZeRxIL/80Nan02XOsdcBjscOirYdWUQy6T\nF2nkxSep5e+IiIiIqLBkMhnKSi0oK7VgS24pPgAIz0QWBOv+qB+dY93oHOsW76NWqOHQ2eDQV8Np\nsMOht8Ous6FUWVKMlyJ5DNJEREREa4CpxAhTiREbK1rF26KJGAZiAfhjgxiIDsIfC8AbHYAn4hPv\nI4MMVk05HPpqOPR2OA3VcOrtMJeY1vzUEAZpIiIiojXKoNajtawZrWXN4m3JTApD8WEMRHMBOxbA\nQGwQvxntwG9GO8T7aZUaOPV2OAy5gK23w6arXFObyaydV0pEREREn0olV4oXJM6anXed7Vxng7U/\nFsC5UA/OhXrE+8llcti0lblpIdnOtUNfvWpXDWGQJiIiIqJLmj/velPFevH26dQ0AvEhcVrIQGwQ\ngdggAvGhBY83qY1w5KaEOHNTRCq1FSv+wkYGaSIiIiLKS6myFG5THdymOvG2jJDB6NSY2L2eDdgf\nvbBRJVfBrreJwdqhr4ZdVwWtSluEV5IfBmkiIiIiWjJymRxVWiuqtFZsrdws3h5LxuGf17keiAUw\nEA3AG+lf8HhziQl2nQ3V+io4dNWo1lfBpq2CWqEq9Ev5VAzSRERERLTs9CodWsoa0VLWKN6WyqQw\nPDmKgWgAgfgQArEhBOJD6BzvRuf4XPdaBhms2nLYddWw622w62yw621FX/eaQZqIiIiIikIpV+aW\n1atecPtkchKB+LAYrGc/fzjZgQ/nrRyikith01WJwXr2c6F2bWSQJiIiIiJJ0aq0aDTXo9FcL94m\nCALCiQj8sSEEYoMYjA+Ln/uj/oWPV2pQrbPBobehel7I1qo0SzpOBmkiIiIikjyZTAZziQnmEhM2\nlLeIt6czaQSnxuCPD2FwtoMdH0JvuA89Yc+C5zCXmOY617mAbdNWQpXn/GsGaSIiIiJasRRyBap0\nlajSVQLzLm5MpJMYig8vmBoSiA19bPUQGWSo1FbArrNh/87/t6ivzSBNRERERKuOWqGCy+iEy+hc\ncHs8OTkXrHPhejA+hOHJ0UV/DQZpIiIiIlozdCotmixuNFnc4m2CICA0E170c63s7WSIiIiIiK6Q\nTCaDpdS86McxSBMRERER5YFBmoiIiIgoDwzSRERERER5YJAmIiIiIsoDgzQRERERUR4YpImIiIiI\n8sAgTURERESUBwZpIiIiIqI8MEgTEREREeWBQZqIiIiIKA8M0kREREREeWCQJiIiIiLKA4M0ERER\nEVEeGKSJiIiIiPLAIE1ERERElAcGaSIiIiKiPDBIExERERHlgUGaiIiIiCgPDNJERERERHlgkCYi\nIiIiygODNBERERFRHhikiYiIiIjywCBNRERERJQHBmkiIiIiojwwSBMRERER5YFBmoiIiIgoDwzS\nRERERER5YJAmIiIiIsoDgzQRERERUR4YpImIiIiI8sAgTURERESUBwZpIiIiIqI8MEgTEREREeVB\nuZxPnkql8Mgjj8Dv9yOZTOKee+5BdXU17r77btTV1QEAbrvtNuzatWs5h0FEREREtOSWNUi//vrr\nsFgsOHr0KMLhMG6++Wbce++9+NrXvoY777xzOb80EREREdGyWtYgvWvXLtx0000AgEwmA6VSiTNn\nzqC3txcnTpxAbW0tDhw4AK1Wu5zDICIiIiJacss6R1qj0UCr1SIWi+H+++/HN77xDWzevBl79+7F\niy++iJqaGhw/fnw5h0BEREREtCxkgiAIy/kFBgcH8fWvfx1f+tKXsHv3bkSjURgMBgBAT08Pjhw5\ngueff345h0BEREREtOSWtSMdDAaxZ88ePPTQQ9i9ezcAYM+ePejo6AAAtLe3Y8OGDcs5BCIiIiKi\nZbGsHenHH38cv/zlL+F2uyEIAmQyGb75zW/i6NGjUKlUsFqtOHToEHQ63XINgYiIiIhoWSz7eJhU\nCAAACiFJREFU1A4iIiIiotWIG7IQEREREeWBQZqIiIiIKA8M0kREREREeVjWDVmuhCAIePTRR9Hd\n3Q21Wo3HH38cNTU1xR4WkegLX/gC9Ho9AMDpdOKJJ54o8ohorTt16hS++93v4oUXXoDP58O+ffsg\nl8vR1NSEgwcPFnt4tIbNr82zZ8/i7rvvRl1dHQDgtttuw65du4o7QFqTUqkUHnnkEfj9fiSTSdxz\nzz1obGxc1HunZIP0iRMnkEgk8NJLL+HUqVN48skn8dxzzxV7WEQAgEQiAQD4yU9+UuSREGX93d/9\nHV577TVxFaQnn3wSDzzwALZt24aDBw/ixIkTuPHGG4s8SlqLPlqbp0+fxte+9jXceeedxR0YrXmv\nv/46LBYLjh49ikgkgs9//vNYt27dot47JTu144MPPsANN9wAANiyZQtOnz5d5BERzenq6sLk5CT2\n7NmDO++8E6dOnSr2kGiNq62txbPPPiv+/cyZM9i2bRsAYPv27Whvby/W0GiNu1ht/td//Re+9KUv\n4cCBA5icnCzi6Ggt27VrF+6//34AQDqdhkKhQGdn56LeOyUbpGOxmLgDIgAolUpkMpkijohoTmlp\nKfbs2YMf/ehHePTRR/Gtb32L9UlF9dnPfhYKhUL8+/yVTXU6HaLRaDGGRfSx2tyyZQsefvhhvPji\ni6ipqcHx48eLODpayzQaDbRaLWKxGO6//35885vfXPR7p2SDtF6vRzweF/+eyWQgl0t2uLTG1NXV\n4XOf+5z4Z7PZjNHR0SKPimjO/PfLeDwOo9FYxNEQzbnxxhuxfv16ANmQ3dXVVeQR0Vo2ODiIO+64\nA7t378bv//7vL/q9U7LJdOvWrfjVr34FAPjwww/R3Nxc5BERzXn55Zfx1FNPAQCGh4cRj8dhtVqL\nPCqiOevXr8d7770HAHjrrbdw1VVXFXlERFl79uxBR0cHAKC9vR0bNmwo8ohorQoGg9izZw8eeugh\n7N69GwDQ2tq6qPdOyV5s+NnPfhZvv/02br31VgDZC2eIpOKLX/wi9u/fj9tvvx1yuRxPPPEEf2NC\nkrJ37158+9vfRjKZRENDA2666aZiD4kIAPDoo4/i8OHDUKlUsFqtOHToULGHRGvUX//1XyMSieC5\n557Ds88+C5lMhgMHDuDIkSOX/d7JLcKJiIiIiPLAFhoRERERUR4YpImIiIiI8sAgTURERESUBwZp\nIiIiIqI8MEgTEREREeWBQZqIiIiIKA8M0kRES+z06dP49re/vajHrFu3bplGc3n8fj927tx50WOd\nnZ14+umnF/V8r7/+On72s59d9NiZM2dw7NixRY+RiEhqGKSJiJbYxo0bcfjw4UU9RiaTLdNoLo8g\nCJ84hieffBJ/9md/tqjne+utt7B9+/aLHtuwYQOGhoZw/vz5RY+TiEhKJLuzIRGRVP3hH/4hnnnm\nGbjdbjz44IMwGo04ePAgTp06hWeffRZ/+qd/iuPHj+OFF17Al7/8ZWzevBkffPABJiYm0NbWhhtu\nuAF+vx8PPfQQpqamsHnz5ot+nfb2dhw7dgxyuRwmkwlPP/004vE47rnnHrhcLni9XjgcDhw7dgxG\noxH//d//je9///tIp9NwOp04fPgwTCYTOjo68OSTT2J6ehoWiwWHDh2Cw+FAZ2cn2traAAAtLS0X\nHcOvf/1rVFZWwmg0AgCuv/567NixA++//z6sVituv/12vPDCCxgeHsZTTz2Fbdu2QRAEBAIBOJ1O\nPP/88/iXf/kXKBQKbNq0CY899pj4b/ijH/0ITz311DL8DxERFQY70kREi7Rjxw60t7cDAM6dO4cP\nPvgAQLYLu2PHDgALO8ypVAovvfQS9u3bh7/8y78EABw+fBi33HILXn31VWzduvWiX+ev/uqvcOjQ\nIfzzP/8zduzYgc7OTgDA+fPn8dWvfhX/9m//BrfbjePHj2N8fBxPP/00/v7v/x6vvPIKrrvuOhw7\ndgzJZBJtbW343ve+h1deeQVf/epXxfC8d+9ePPzww3jllVdQU1Nz0TG88cYb2LZtm/j3YDCInTt3\n4pe//CUA4MSJE/jpT3+Kr3/96/jxj38MAOjo6MCmTZuQTqfxN3/zN3jllVfw8ssvQy6XY2RkBACw\nbds2vPnmm3n86xMRSQeDNBHRIm3fvh3t7e3o6elBU1MTFAoFxsfHFwTp+W644QYAQFNTE8LhMADg\n3Xffxa5duwAAn/vc56BUfvwXhL/3e7+He++9F4cPH4bb7cZv//ZvAwDq6+vFcHvzzTfj17/+Nf7v\n//4Pg4OD+MpXvoKbb74ZP/3pT+Hz+dDX1wefz4c///M/x80334zvfve78Pv9mJiYwMjICK699loA\nwBe+8IWLvlav1wubzSb+XSaTia/H4XCIj7fb7eJrm53WoVAosHXrVtxyyy34wQ9+gD/5kz9BZWUl\nAECv1wMAQqHQZf+7ExFJDad2EBEt0tatW7F37160t7fjmmuuQUVFBf793/8dqVQKNpsNPp9vwf1L\nSkoAZEOoIAjinzOZjPhnufzjfY077rgDO3fuxJtvvoljx47hpptuwh/8wR9AoVCI9xEEAUqlEplM\nBldddRWee+45AEAikUA8Hsfw8DBcLhdeffVV8f7BYPBj86HnP+d8MpnsY8fmh/6L/QBw8uRJ3HXX\nXQCAZ599FqdOncJbb72FPXv24OmnnxZ/CFAoFBd93UREKwXfwYiIFkkul2PLli144YUXcPXVV+Oa\na67BD3/4w0+8uO5irrvuOrz22msAgP/4j/9AIpH42H3++I//GLFYDF/5yldwxx134MyZMwAAj8eD\nrq4uAMDLL7+M7du3Y/Pmzfjwww/R19cHIBtgjx49CrfbjXA4jPfffx8A8E//9E948MEHYTab4XA4\n8Ktf/QoA8K//+q8XHafL5UIgEBD/PvuDwCeZmJiATqeDWq3G+Pg4du3ahebmZtx333247rrr0N3d\nDQCIx+MAIM69JiJaidiRJiLKw+/8zu/gvffeQ319PSoqKjA+Pn7R5eM+aSWMtrY2PPzww/jHf/xH\nbNq0SZzqMN8DDzyAffv2QaFQQKPRiBfqmUwmHD9+HF6vFy0tLXjwwQdRWlqKJ554At/4xjeQyWRg\ns9lw7NgxqNVqPPPMMzhy5AgSiQT0ej2+853vAACOHj2K/fv345lnnsFnPvOZi45zx44d+MUvfoFb\nb731kq9n1ttvv43rr78eAFBWVoZbb70Vt9xyCzQaDex2O3bv3g0AeO+99/C7v/u7l3wuIiKpkwmf\n1l4gIiLJ8Pv9+PKXv4w33nijYF/z9ttvx3PPPQez2bxkz/kXf/EXuO+++9DU1LRkz0lEVGic2kFE\ntMIUes3pRx55BH/7t3+7ZM/X0dEBh8PBEE1EKx470kREREREeWBHmoiIiIgoDwzSRERERER5YJAm\nIiIiIsoDgzQRERERUR4YpImIiIiI8sAgTURERESUh/8P5DxJ/3JXfp4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110794780>"
      ]
     },
     "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": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11078d4e0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WJEUoMMDfkHU6ujpUfqRKW50Vffm61PBk5YyhfN3fG5Md6XfffVcHDhzQD37wA/30pz+V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\niIiIiDhBjbSIiIiIiBPUSIuIiIiIOOF/KYA8eVSd/PYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11084c940>"
      ]
     },
     "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": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1108734e0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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jFxsqx0fNXs9QL66G7ZS7Xbh7GgBIjZlMic3Bkkw7ydFJYZ5QJpJPdcPRX060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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1108ab470>"
      ]
     },
     "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": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1108afa20>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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cXIa33npLa9askbe3t/Ly8jR69Oga+ck4pdkE11xzjSZO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\nHmHHBXUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11092b7f0>"
      ]
     },
     "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).ix[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": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x10f87e8d0>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SxP6v2L59u1JTU/XjH/9Yvb29Wrt2rW644QZt2rRJBQUF2rx5s3bt2qVFixZpy5Ytqqys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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110937438>"
      ]
     },
     "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(inverters['ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_'], vdcs, pdcs)\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": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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": {
    "collapsed": false
   },
   "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": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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": {
    "collapsed": false
   },
   "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": {
    "collapsed": false
   },
   "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",
    "times_loc = pd.date_range(start=datetime.datetime(2014,4,1), end=datetime.datetime(2014,4,2), freq='30s', tz=tus.tz)\n",
    "ephem_data = pvlib.solarposition.get_solarposition(times_loc, tus.latitude, tus.longitude)\n",
    "irrad_data = clearsky.ineichen(times_loc, tus.latitude, tus.longitude)\n",
    "#irrad_data.plot()\n",
    "\n",
    "aoi = irradiance.aoi(0, 0, ephem_data['apparent_zenith'], ephem_data['azimuth'])\n",
    "#plt.figure()\n",
    "#aoi.plot()\n",
    "\n",
    "am = atmosphere.relativeairmass(ephem_data['apparent_zenith'])\n",
    "\n",
    "# a hot, sunny spring day in the desert.\n",
    "temps = pvsystem.sapm_celltemp(irrad_data['ghi'], 0, 30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can run the module parameters and the irradiance data through the SAPM function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>i_sc</th>\n",
       "      <th>i_mp</th>\n",
       "      <th>v_oc</th>\n",
       "      <th>v_mp</th>\n",
       "      <th>p_mp</th>\n",
       "      <th>i_x</th>\n",
       "      <th>i_xx</th>\n",
       "      <th>effective_irradiance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:00:00-07:00</th>\n",
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       "    <tr>\n",
       "      <th>2014-04-01 00:00:30-07:00</th>\n",
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       "    <tr>\n",
       "      <th>2014-04-01 00:01:00-07:00</th>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:01:30-07:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:02:00-07:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           i_sc  i_mp  v_oc  v_mp  p_mp  i_x  i_xx  \\\n",
       "2014-04-01 00:00:00-07:00   0.0   0.0   0.0   0.0   0.0  0.0   0.0   \n",
       "2014-04-01 00:00:30-07:00   0.0   0.0   0.0   0.0   0.0  0.0   0.0   \n",
       "2014-04-01 00:01:00-07:00   0.0   0.0   0.0   0.0   0.0  0.0   0.0   \n",
       "2014-04-01 00:01:30-07:00   0.0   0.0   0.0   0.0   0.0  0.0   0.0   \n",
       "2014-04-01 00:02:00-07:00   0.0   0.0   0.0   0.0   0.0  0.0   0.0   \n",
       "\n",
       "                           effective_irradiance  \n",
       "2014-04-01 00:00:00-07:00                   0.0  \n",
       "2014-04-01 00:00:30-07:00                   0.0  \n",
       "2014-04-01 00:01:00-07:00                   0.0  \n",
       "2014-04-01 00:01:30-07:00                   0.0  \n",
       "2014-04-01 00:02:00-07:00                   0.0  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sapm_1 = pvsystem.sapm(sandia_module, irrad_data['dni']*np.cos(np.radians(aoi)),\n",
    "                     irrad_data['dhi'], temps['temp_cell'], am, aoi)\n",
    "sapm_1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_sapm(sapm_data):\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(sapm_data['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(sapm_data['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(sapm_data['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": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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7CpgxNhKz0XPPMeLKyG9UqObrIyW4FYVRDccA8Js6/YL7f5b7JV/kbSbUO5hH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OgCyPNuIkdv65mQMCMt2kVgcTNxxi+a1M2r1Y4kRA2TElcI4fq2H7TfC7Vzi1CVk4japtfp6NIy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Ay8sLffr0wZIlS6Rt6enpMDY2LtF5yvttEkIITFh1FmmZuQCA4a5N8X6bBuXydZX4dgyl5aS0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\n2OASERERERGRIvw/eZ1K9ada/KcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1191c1198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_sapm(sapm_1)"
   ]
  },
  {
   "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": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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6Gh0uSqvtFJTbWLOzkLhIC9dNSmRkaoQUuuIkUuAKTTS7PGzPLmeEWoZiq8c6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iCXDNYkh/4wgzwyyOE9zgwWUu8LcslgTXLoDzPII4Mc3uPMYCH1viCXDLdUSoF74cIFeHh4QKlU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\n0oT/B7HS4zIZ3CkXAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119155ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "temps = pvsystem.sapm_celltemp(irrad_data['ghi'], 10, 5)\n",
    "\n",
    "sapm_2 = pvsystem.sapm(sandia_module, irrad_data['dni']*np.cos(np.radians(aoi)),\n",
    "                     irrad_data['dhi'], temps['temp_cell'], am, aoi)\n",
    "\n",
    "plot_sapm(sapm_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x10febe828>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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T2LBhAy1btmThwoUsX76coqIiRowYQYcOHdDr9dYKTQghqrWTlxP4+dQqzuUm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\nqxpTI7LzDazcfoatcSmYzIr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rM7+dWW/BCIUQ1iKJtBCiWtiZspvLxVlE+Ufi4VCjQnX8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\nBqiRFhERERG5Af8/if/DmmrEXJMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10fefd710>"
      ]
     },
     "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.T.ix[:,0]\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.ix['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": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>current</th>\n",
       "      <th>voltage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Isc</th>\n",
       "      <td>3.848214</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ix</th>\n",
       "      <td>3.757784</td>\n",
       "      <td>25.754530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pmp</th>\n",
       "      <td>3.425038</td>\n",
       "      <td>40.706316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ixx</th>\n",
       "      <td>2.504497</td>\n",
       "      <td>46.107688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Voc</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>51.509060</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      current    voltage\n",
       "Isc  3.848214   0.000000\n",
       "Ix   3.757784  25.754530\n",
       "Pmp  3.425038  40.706316\n",
       "Ixx  2.504497  46.107688\n",
       "Voc  0.000000  51.509060"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sapm_to_ivframe(sapm_1['2014-04-01 10:00:00'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x11123b908>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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BevrdVZ9+d9XnXKaR7Ycy2H44ne2HM9h+OIOIUD96tK1LtzZ1CZHhG+IG8/Pz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\nwrHPTa/l2v5RrNx4gg170rh+YO3VG0XjfPzxBxQWFvLBB+/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ohNwxCSwW8n/dQOqbc2g3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q+6XnNthFeClQD0PfvzjSpPtjiFZhEREckLhmFw7WuyXco99ZMjqza92FEb4Yi7CYDUvgMbVp9s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\n11UWcfcFjby9qYKw28WTgxN8/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c0iIivg5ysP8Xgcn88HwPDwMIZhsG3bNgC8Xi8jIyP8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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117d19cf8>"
      ]
     },
     "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[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": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "photocurrent, saturation_current, resistance_series, resistance_shunt, nNsVth = (\n",
    "    pvsystem.calcparams_desoto(irrad_data.ghi,\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": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x117c06160>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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CDHYXVGHrkQpMHxcBnZb7BBCphaJ/Gp977jnk5eXBbrcr+bJE5EIOnKpDe5cZ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\nIUQ3/Buvi7b/1+amtwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117d01b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "photocurrent.plot()\n",
    "plt.ylabel('Light current I_L (A)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x117c5aac8>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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RkaWdLG+GQRR5NNrBXF0L/Oq3DURExjDpiHRMTAzWrl2LGTNmQKlUDl/+3RMQ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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117c08278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "saturation_current.plot()\n",
    "plt.ylabel('Saturation current I_0 (A)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.094"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resistance_series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 100)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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fWW1yJQDCJWAY2rS7Rq5Ep04rTDe7HCDqBQ3SgUBAH330kZYvX64LLrhApaWl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\nYgj+BkXu0WxevJWMAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117a26940>"
      ]
     },
     "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": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x117c704a8>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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0BOpa9PjtV5fgqlLgH1dNhtpdJXUkeoBn54RjZuwoXG3oxI5DPCUgET05lm0iIpF1dZvw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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117c6b9e8>"
      ]
     },
     "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": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>i_mp</th>\n",
       "      <th>i_sc</th>\n",
       "      <th>i_x</th>\n",
       "      <th>i_xx</th>\n",
       "      <th>p_mp</th>\n",
       "      <th>v_mp</th>\n",
       "      <th>v_oc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:00:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:00:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:01:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:01:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:02:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:02:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:03:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:03:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:04:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:04:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:05:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:05:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:06:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:06:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:07:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:07:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:08:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:08:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:09:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:09:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:10:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:10:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:11:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:11:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:12:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:12:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:13:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:13:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:14:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 00:14:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:45:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:46:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:46:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:47:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:47:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:48:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:48:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:49:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:49:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:50:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:50:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:51:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:51:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:52:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:52:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:53:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:53:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:54:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:54:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:55:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:55:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:56:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:56:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:57:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:57:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:58:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:58:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:59:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-01 23:59:30-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-02 00:00:00-07:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022756</td>\n",
       "      <td>0.019739</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2881 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           i_mp  i_sc  i_x  i_xx  p_mp      v_mp      v_oc\n",
       "2014-04-01 00:00:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:00:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:01:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:01:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:02:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:02:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:03:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:03:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:04:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:04:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:05:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:05:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:06:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:06:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:07:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:07:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:08:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:08:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:09:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:09:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:10:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:10:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:11:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:11:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:12:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:12:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:13:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:13:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:14:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 00:14:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "...                         ...   ...  ...   ...   ...       ...       ...\n",
       "2014-04-01 23:45:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:46:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:46:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:47:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:47:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:48:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:48:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:49:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:49:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:50:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:50:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:51:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:51:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:52:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:52:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:53:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:53:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:54:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:54:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:55:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:55:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:56:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:56:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:57:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:57:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:58:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:58:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:59:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-01 23:59:30-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "2014-04-02 00:00:00-07:00   NaN   NaN  NaN   NaN   NaN  0.022756  0.019739\n",
       "\n",
       "[2881 rows x 7 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "single_diode_out = pvsystem.singlediode(cecmodule, photocurrent, saturation_current,\n",
    "                                        resistance_series, resistance_shunt, nNsVth)\n",
    "single_diode_out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x117cde358>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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MLoo0gEF1fuVsTF6icode/JB7AJdneEa8RuUk6Ehpk8pquIADGEwUaQCD6vyq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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117976ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "single_diode_out['i_sc'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10fe34908>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ggles7YD/EaQBA76ZkQ5wIQBgcwyzMIkgDRjADVkAALAfgjRgQMOuHQ6CNAAAtkGQBgxo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\nFm3atEn33Xef0tPTGx9TXl6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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1179ca400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "single_diode_out['v_oc'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x117cde080>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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f7u1YALyot29ABXvOKDLMpWunDjcdB/Bb103L0J93lOut3ZVaNiNLIS62SAHe\n5PUiHRERoR/+8Id/9/Y1a9Z4OwoAQ7YfrFF7V59WzMtRRJixHWaA34sMD9G1U4brzd2V2llSq4WT\n+cEU8CZ+dAXgVQNutzbuqpDL6dCymVmm4wB+74ZZWXI6LG28cJQkAO+hSAPwqr2lDWo4160Fk4Yp\nLirUdBzA7yXGnj8+sqapUwdONJmOAwQVijQAr7FtW3/ZWSFL0o2zs03HAQLG8gvfT395j9uGA95E\nkQbgNUfKm1Ve16YZY1KUlhhpOg4QMDJTozU5L0nHz7ToRFWL6ThA0KBIA/Cav1y4nfFNc/37mC7A\nF11clea24YD3UKQBeEV5bZsOl53V2Ox45aZf3k2XAFy+Mdnxyk2PUdGxBtU0dZiOAwQFijQAr9i4\n6/wq2c2sRgNDwrIs3TQnR7akN3Zx23DAGyjSAIZc47ku7T5Sr6zUaE3ITTQdBwhY00enKDU+Qu8e\nqlFLe4/pOEDAo0gDGHIFe8/Ibdu6cXaWLMsyHQcIWA6HpRtnZ6l/wFbB3jOm4wABjyINYEh1dver\nsLha8dGhmj0uzXQcIODNn5SumMgQbdpXpa6eftNxgIBGkQYwpLYeqFZ374CWzsiUy8lTDjDUQkOc\nWjojU109/dpaXG06DhDQeFUDMGQG3G4V7KlUaIhDi6dlmI4DBI0l0zMVGuLQG7sr1T/gNh0HCFgU\naQBDZm9pg5pae7Rw0nBFhYeYjgMEjeiIEC2cNFzNbT3aU1pvOg4QsCjSAIaEbdt6Y9f524Evm5Vp\nOg4QdJbNypQl6a3dlbJt23QcICBRpAEMiRNVLSqradPUUclKS+B24IC3pSVEakp+sspq2rhtODBE\nKNIAhsTFG0LceOG2xQC878bZWZKkN3dzgxZgKFCkAXhcfXOnio41KDc9RqMy40zHAYLW6Kx4ZadF\na9+xBjWc6zIdBwg4FGkAHvfWnjOyJd0wK5sbsAAGWZalG2Zlybalt7lBC+BxFGkAHtXR3adtB2qU\nGBumGWNSTMcBgt7scWmKiw5VYXE1N2gBPIwiDcCjtuyvVk/fgJbNyOIGLIAPcDkdWjI9U929A9p6\noMZ0HCCg8CoHwGP6B87fgCUs1KlFU4abjgPggsVThyvE5VDBnkq53RyFB3gKRRqAx+w+Wq9z7b1a\nNHm4IsNdpuMAuCAmMlTXTBymxpZuFR1vMB0HCBgUaQAeYdu23txdKcuSls3kBiyAr7l+JkfhAZ5G\nkQbgESeZi+B0AAAgAElEQVSrW1Ve26Zpo1KUEh9hOg6AvzE8OUqTRibp+JkWldW0mo4DBASKNACP\nKNhzfpVr2QxWowFfdcOs86vSb7EqDXgERRrAVWtu69He0gZlpkRpTHa86TgAPsT4EQnKSInS7qP1\nam7rMR0H8HsUaQBXbXPRGQ24bS2bmcUNWAAfZlmWrp+ZpQG3zQ1aAA+gSAO4Kn39A3qnqFpR4S7N\nGZ9mOg6AjzF3fJqiI0JUWFyt3r4B03EAv0aRBnBV3iupV3tXnxZNHa6wEKfpOAA+RmjI+XPe27v6\n9N6ROtNxAL9GkQYwaLZtq2Dv+SPvlkzjIkPAX1w3LUMOy9Lbe8/ItrlBCzBYFGkAg3b8TIsq6to1\nfXSKkuLCTccBcJmS4sI1bXSyKuradfxMi+k4gN+iSAMYtIILFytx5B3gfy5+33LRITB4FGkAg3K2\ntVv7ShuUlRqt0VkceQf4m9FZ8cpMidLe0gaOwgMGiSINYFA2F1XJbdtaNiOTI+8AP2RZlpbNzJLb\ntrW5qMp0HMAvUaQBXLHevgFt2V+t6IgQjrwD/Nic8WmKCndpy/4q9fVzFB5wpSjSAK7YzpI6tXf1\n6dqpwxXKkXeA3woLcWrhlOFq6+zTriP1puMAfociDeCK2Latgj1n5LAsXTctw3QcAFdpybQMWZY4\nCg8YBIo0gCtyrPKczjS0a8aYFCXGcuQd4O+S4yM0NT9Zp2vbdKq61XQcwK9QpAFckYI9F468m8mR\nd0CguHgUXgFH4QFXhCIN4LI1tXRr3/EGZadFKz8jznQcAB4yNidBGclR2nO0XufaOQoPuFwUaQCX\n7Z39VbJtael0jrwDAollWVoyI1MDblvvcBQecNko0gAuS1+/W1uLqxUV7tJsjrwDAs41E4YpIsyl\nd/ZXq3/AbToO4Bco0gAuy97SerV29mn+pHSFceQdEHDCQp1aODldrR292n2Uo/CAy+Hy9ifs7+/X\n//k//0dVVVXq6+vTl770JeXn5+uxxx6Tw+HQqFGjtGrVKm/HAvAxNl34de910znyDghUS2Zk6q3d\nlXp77xnNmzDMdBzA53l9RXrDhg1KSEjQCy+8oJ///Of6zne+o9WrV+vRRx/V2rVr5Xa7VVBQ4O1Y\nAD5CRV2bTpxp0cTcRKUlRJqOA2CIpMZHaHJekk5Vt6qshqPwgI/j9SJ900036ZFHHpEkDQwMyOl0\nqqSkRDNnzpQkLVq0SDt27PB2LAAfYfOF1egl0znyDgh0Sy4chbeZiw6Bj+X1Ih0REaHIyEi1t7fr\nkUce0T//8z//1Z2UoqKi1NbW5u1YAD5EZ3efdhyuVVJsuCbnJZmOA2CITchNVEp8uN4rqVN7V5/p\nOIBP8/oeaUmqqanRV77yFd13331asWKF/uM//uPS+zo6OhQbG3tZHyclJWaoIgYdZulZgTTPDVtP\nqrfPrRXX5yot7fK+Nz0tkOZpGrP0rECd58oFefrlnw+ruOysbrs232ufN1DnaQrzHHpeL9KNjY16\n8MEH9e1vf1tz586VJI0bN067d+/WrFmzVFhYeOntH6ehgZVrT0hJiWGWHhRI87RtW68WnpLLaWl6\nfpKRryuQ5mkas/SsQJ7ntLxErXU59GrhKc0blyqHF86ND+R5msA8PeejfiDxepH+2c9+ptbWVv3k\nJz/Rc889J8uy9Pjjj+vpp59WX1+f8vLytHz5cm/HAvABjpQ3q/Zsp+ZNSFNsZKjpOAC8JDoiRLPH\npWr7wVqVlJ3VxJFs6wI+iNeL9OOPP67HH3/8796+Zs0ab0cB8DE277t45B0XGQLBZsn0TG0/WKtN\n+6oo0sCH4IYsAD7Q2dZuFR1vVHZatPKGm9kbDcCc3PRY5abHqPhEoxrPdZmOA/gkijSAD7Rlf7Xc\ntq0l0zNleWF/JADfs2R6pmxJW4qrTUcBfBJFGsDf6R9wa0txtSLCXJozPs10HACGzBqbqqhwlwqL\nq9XX7zYdB/A5FGkAf2ffsQa1dvRqwaR0hYU4TccBYEhoiFMLpwxXW2ef9pTWm44D+ByKNIC/s2nv\nGUnSddMzDCcBYNriqcNlSdq074zpKIDPoUgD+Ctn6tt17EyLJoxI0LDESNNxABiWmhCpiSOTdLKq\nVeW1nEsMvB9FGsBf2VR0/si7JRx5B+CCJRd+O7W5iFVp4P0o0gAu6erp145DtUqMDdPkfM6NBXDe\npJFJSo4L187Dders7jMdB/AZFGkAl7x7qFY9fQNaPDVDTgdPDwDOczgsXTctQ739bm07WGs6DuAz\neKUEIEmybVub9p2R02Fp4ZThpuMA8DELJqfL5XRo874zctu26TiAT6BIA5AkHa04p5qmTs0am6q4\nqFDTcQD4mJjIUM0el6q65i4dKW82HQfwCRRpAJKkzfs48g7AR7v4/HDxiEwg2FGkAai5rUf7jjUq\nKzVa+RlxpuMA8FEj02OVkxaj/Scadba123QcwDiKNABt2V8lt23ruukZsizLdBwAPsqyLC2ZniHb\nlt7ZX2U6DmAcRRoIcv0Dbm0prlZEmFPzxg8zHQeAj5s9Pk1R4S4V7q9W/4DbdBzAKIo0EOSKjjeq\npb1X8yemKyzUaToOAB8XFuLU/Enpau3s057SetNxAKMo0kCQu3jREBcZArhc1027cNHhPrZ3ILhR\npIEgVtXQrtLKcxqXk6D0pCjTcQD4ibTESE3MTdSJMy2qrG83HQcwhiINBLHNRedXk5awGg3gCl06\nCm8fR+EheFGkgSDV1dOvdw/VKiEmTFNHJZuOA8DPTMlLVlJsuHYcrlVnd7/pOIARFGkgSO08XKvu\n3gFdO3W4nA6eCgBcGYfD0uJpw9Xb59b2QzWm4wBG8OoJBCHbtrVpX5WcDkvXThluOg4AP7VwynC5\nnJY276uSbdum4wBeR5EGgtCxynOqauzQjDEpiosOMx0HgJ+KjQzVrLGpqj3bqZLyZtNxAK+jSANB\n6OJFhhePsAKAwVoyPVOStJmj8BCEKNJAkGlp79He0gZlpERpdFa86TgA/NzI4bHKSYtR0fEGnW3t\nNh0H8CqKNBBkthRXa8Bta8m0DFmWZToOAD9nWZaum54h25be2c+qNIILRRoIIgNut7bsr1ZYqFNz\nJwwzHQdAgJgzPk1R4S4V7q9W/4DbdBzAayjSQBDZf7xJzW09umbiMEWEuUzHARAgwkKcmj8pXa2d\nfdpTWm86DuA1FGkgiFy8A9kSLjIE4GH/e6dDtncgeFCkgSBR09ShI+XNGpMVr4yUaNNxAASYtIRI\nTcxN1IkzLaqoazMdB/AKijQQJC4deTed1WgAQ+PSUXhFrEojOFCkgSDQ0zug7QdrFRcVqumjU0zH\nARCgJuclKSk2XDsO16qzu890HGDIUaSBILCzpFZdPf26dupwuZx82wMYGg7H+aPwevvc2n6w1nQc\nYMjxigoEONu2tXlflRyWpUVThpuOAyDALZicLpfT0qaiKrlt23QcYEhRpIEAd7K6VRX17Zo2KlmJ\nseGm4wAIcLGRoZo1Nk11Zzt1pLzZdBxgSFGkgQB36cg7LjIE4CVLZlw4Cm/vGcNJgKFFkQYCWGtH\nr/YcrdewxEiNzUkwHQdAkBiZHquctBjtP9GoppZu03GAIUORBgLY1gPV6h+wdd30DFmWZToOgCBh\nWZaWTM+QbUtbijkKD4GLIg0EKLfb1jtF1QoNcWj+xHTTcQAEmdnj0xQV7lLh/mr19btNxwGGBEUa\nCFAHTjapqbVb8yYMU2S4y3QcAEEmLMSpBZPT1drZp72l9abjAEOCIg0EqLf3VkqSrpvGRYYAzFh8\n4fln0z62dyAwUaSBAFTd2KHDp5s1Oite2WkxpuMACFJpCZGaODJRJ6paVFHXZjoO4HHGinRxcbHu\nv/9+SVJFRYXuuece3XfffXrqqadMRQICxtsXjrxbNiPTcBIAwW7J9PPPQ6xKIxAZKdI///nP9cQT\nT6ivr0+StHr1aj366KNau3at3G63CgoKTMQCAkJnd7/ePVirxNgwTRudbDoOgCA3eWSSkuPCtbOk\nVp3dfabjAB5lpEjn5OToueeeu/T3w4cPa+bMmZKkRYsWaceOHSZiAQFh28Ea9fQN6LppGXI62L0F\nwCyHw9LiaRnq7XNr+8Fa03EAjzLyKnv99dfL6XRe+rtt25f+HBUVpbY29lEBg+F223p7b6VCXA4t\nmjLcdBwAkCQtnJwul9OhTfvOyP2+13zA3/nEmViO962adXR0KDY29rL+u5QULqLyFGbpWabmuauk\nVg3nunX97GyNzEkykmEo8Pj0HGbpWczz8qRIWjw9UwW7K1TR2KlZ44d98L9jnh7FPIeeTxTp8ePH\na/fu3Zo1a5YKCws1d+7cy/rvGhpYufaElJQYZulBJue5ftNxSdL8CWkB8/+Ux6fnMEvPYp5XZsHE\nNBXsrtDLbx/TiJSov3s/8/Qs5uk5H/UDiU8U6W984xv61re+pb6+PuXl5Wn58uWmIwF+p7qxQ4fL\nznLkHQCflJ0Wo7HZ8So53awzDe3KTIk2HQm4asaKdEZGhl566SVJ0ogRI7RmzRpTUYCAwJF3AHzd\n9bOydLTinAr2VOpzN40zHQe4alzSDwSAi0feJcRw5B0A3zUlL1mp8RF691CdWjt7TccBrhpFGggA\nF4+8WzKdI+8A+C6Hw9LSmZnqH3Bry/5q03GAq8YrLuDnLh5553Jy5B0A37dgUroiwpzatO+M+gfc\npuMAV4UiDfi5fcca1HCuW9dMHKaYyFDTcQDgI0WEubRw8nC1tPdq99F603GAq0KRBvzcG7srJEk3\nzs4ynAQALs/SGZmyLOmt3ZV/dVM2wN9QpAE/dqKqRSerWjU5L0npSX9/LisA+KKU+AhNG5Wi07Vt\nOlHVYjoOMGgUacCPvbHr4mp0tuEkAHBlrp95/qjOt3ZXGk4CDB5FGvBT9ee6tO9Yg7LTojU2O950\nHAC4IqOz4pWTFqO9xxpU39xpOg4wKBRpwE+d31t4fjXasizTcQDgiliWpeVzsmXb0hu7WJWGf6JI\nA36oo7tP2w7UKCEmTLPGppqOAwCDMnNsipLjwrXtYI3OtfWYjgNcMYo04IfeKapST9+Arp+ZJZeT\nb2MA/snpcGj5nGz19bv16rZTpuMAV4xXYMDP9PUP6K09ZxQe6uQGLAD83oJJ6YqJDNFr28vU1dNv\nOg5wRSjSgJ/ZeqBGrR29um56hiLDXabjAMBVCQ1xatmMTHV09amwmNuGw79QpAE/0j/g1l92VijE\n5dANszjyDkBguG56psJDnXpzdyW3DYdfoUgDfmTn4To1tXZr0ZThioviduAAAkN0RIhunDtCzW09\n2nm4znQc4LJRpAE/4Xbben1nuZwOSzfNYTUaQGC5dVGenA5Lr+04rQE3q9LwDxRpwE/sPdag2rOd\nmjdxmBJjw03HAQCPSkmI0MLJ6apr7tJ7JaxKwz9QpAE/YNu2Xnv3tCxLWjE3x3QcABgSK+aNkNNh\nacN2VqXhHyjSgB/YW9qgivp2zR6XprTESNNxAGBIJMWFa+GU4apv7mKvNPwCRRrwcW63rT9uPSWH\nZenWBbmm4wDAkFoxN0dOh6VX32VVGr6PIg34uJ0ltapp6tQ1k4ZpGKvRAAJcUly4Fl1Yld5xiFVp\n+DaKNODD+gfcemVbmZwOS7fMH2E6DgB4xYp5OXI5Lb2y7ZT6+gdMxwE+FEUa8GFbD9So4Vy3Fk/N\nUHJchOk4AOAVibHhWjYzS02tPSrYc8Z0HOBDUaQBH9XZ3a8/bT2lsBCnVl7DSR0AgsvKeTmKCnfp\nzzvK1dbZazoO8IEo0oCP+vO7p9XW2acV83IUFx1mOg4AeFVkeIhumZ+rrp5+vbr9tOk4wAeiSAM+\nqK65U2/tqVRSbLhunJ1lOg4AGHHd9Aylxkdoc1GVapo6TMcB/g5FGvBBv3v7hAbctu5akq8Ql9N0\nHAAwwuV06K4l+Rpw21rzRqls2zYdCfgrFGnAx+w5Wq/9Jxo1JiteM8ekmI4DAEZNG5WsqfnJOlpx\nTu8eqjUdB/grFGnAh7R39WntW8fkcjr02ZvGyrIs05EAwCjLsnTP9aMUGuLQ7zad4MJD+BSKNOBD\nXiw4rtaOXt26YAQ3XwGAC5LjInTbgpFq7+rTr/5ylC0e8BkUacBHbD9Yox2Ha5UzLEY3zs42HQcA\nfMoNs7I0NjteRccb9c7+atNxAEkUacAnVDV2aO2bxxQR5tTDt06Qy8m3JgC8n8Nh6R9XjldUuEsv\nvX1cZTWtpiMBFGnAtHPtPfrh74vV0zegz900TqkJbOkAgA+SGBuuB1eOV3+/Wz96+YCaWrpNR0KQ\no0gDBp1r79EPfrdfTa3dun1hrmaNTTUdCQB82tT8ZN29dJRaOnr1f3+3nzINoyjSgCEVdW1avXav\nqho6tHRGplZeM8J0JADwC9fPytLNc3NUd7ZTq1/Yq1PVbPOAGRRpwMvcbltv7qrQ07/Zq4Zz3bpl\n/gjds2wUR90BwBW4c3Ge7lycp+bWHq1eu1ev7Tgtt5vTPOBdLtMBgGDS3duv/1p3UEfKmxUdEaIH\nV0zUlPxk07EAwC/dPDdHI4bF6Pk/l2jdllM6cLJJj9w5WZHhIaajIUiwIg140a/+clRHyps1JS9J\nT//jHEo0AFyl8SMS9Z0H52jGmBQdP9Oi/3m1xHQkBBGKNOAlVQ3t2nWkXiOHx+orn5yk2KhQ05EA\nICBER4To4Vsnamx2vA6cbNKJqhbTkRAkKNKAl+w6Ui/p/E0FnA6+9QDAkxwOS8vn5EiS9pU2GE6D\nYMGrOeAlF1dIJuYmGU4CAIFpXE68QlwOlZw+azoKggRFGvACt23rdG2b0hIjFRnONb4AMBRCXE5l\nJEepuqmTEzzgFRRpwAta2nvV1dOvrJQo01EAIKClJ0Wpf8CthpYu01EQBHyiSNu2rVWrVunuu+/W\nAw88oMrKStORAI9qOHf+CT0lIcJwEgAIbOlJkZKk2qZOw0kQDHyiSBcUFKi3t1cvvfSSvv71r2v1\n6tWmIwEedbbt/C1sk2PDDScBgMCWdOF5trmtx3ASBAOfKNJ79+7VwoULJUlTpkzRoUOHDCcCPOtc\nW68kKS46zHASAAhsibHnn2fbOnsNJ0Ew8Imrntrb2xUTE3Pp7y6XS263W46POSIsJSXmI9+Py8cs\nPetv53n/ygm6f+UEQ2n8H49Pz2GWnsU8PcsT80xJidGCGdkeSOP/eHwOPZ9YkY6OjlZHR8elv19O\niQYAAABM8om2On36dG3ZskWStH//fo0ePdpwIgAAAOCjWbZtGz9o0bZtPfnkkyotLZUkrV69Wrm5\nuYZTAQAAAB/OJ4o0AAAA4G98YmsHAAAA4G8o0gAAAMAgUKQBAACAQaBIAwAAAIPgs0W6paXFdISA\nwjw9h1l6FvMEgCvHc6dnDXaezieffPJJz0a5OgMDA/rP//xPvfDCC6qsrFRUVJRSU1NNx/JbzNNz\nmKVnMU/P6+vr0/r169XZ2anU1FQ5nU7TkfwWs/Qs5uk5PHd61tXO0+dWpN955x1VVlbqmWeeUWRk\npF5++WUdOHBA0vnzpnFlmKfnMEvPYp6ederUKX3605/W0aNHtX79ev3yl79UY2OjJOZ5pZilZzFP\nz+K507Oudp4+UaRPnjyp3t5eSVJpaanmzp2rpKQkrVy5Uvn5+dqwYYMkybIskzH9BvP0HGbpWcxz\n6NTX1+vGG2/Ut771LX3+859Xb2+vXnrpJUnM80oxS89inleP507P8uQ8jW7taG9v1/e//32tWbNG\nZWVlOnv2rCZPnqwf/OAHuvfeexUVFaXQ0FCVlJQoJSVFKSkppqL6BebpOczSs5in5zU0NOjZZ59V\nR0eHIiIiVFNTo40bN+rWW29VbGyswsPDtXPnTmVlZSk5Odl0XJ/GLD2LeXoOz52eNRTzNLoivW/f\nPp09e1br1q3TAw88oGeffVYjRoxQbm6unn/+eUlSTk6OOjs7FR0dbTKqX2CensMsPYt5etbJkyf1\nb//2b0pNTVVnZ6e++tWvaunSpWpsbNTbb7+tkJAQpaenKzExUWfPnjUd16cxS89inp7Fc6dnDcU8\nXUMZ+IPYti3btuVwOORwOJScnKzW1lZlZWXpjjvu0OrVq/Xkk0/qnnvu0YwZM3T27FlVVVWpv7/f\n21H9AvP0HGbpWczT89xutxwOh9xutxITE/XQQw9JkgoLC/X888/rW9/6llatWqWlS5dq2LBhqq2t\nVXh4uOHUvolZehbz9ByeOz1rqOfptRXppqYmSef3mzgcDrW3tyskJES2bevMmTOSpK997WsqKipS\na2urnnjiCW3btk0vvfSSvv71rys3N9dbUf0C8/QcZulZzHPoOBznn7Lb29uVkpKiY8eOSZJWrVql\ntWvXauzYsZo9e7aefvppff7zn9fAwIDS09NNRvZZzNKzmOfV47nTs7w1zyHfI31xP8r69evV1NR0\naan8Bz/4gW6//Xa999576unpUUpKiqKjo9Xa2qqYmBgtXLhQc+bM0S233KK0tLShjOhXmKfnMEvP\nYp6e19raqnXr1snlcikuLk5Op1N/+MMfNHbsWO3cuVORkZFKTU1VQkKC6uvrVVFRoa985SvKzc1V\nZmamvvzlL/Pr3guYpWcxT8/hudOzvD3PIS/S69atU2Njox577DEdPnxYW7du1Zw5c7RixQqFhoYq\nPj5e+/bt0+7du1VeXq4NGzborrvuUnx8/FDG8lvM03OYpWcxT8/au3evvvrVryo2Nla7d+9WdXW1\npk6dqoqKCk2fPl09PT0qKipSX1+fRo0apcLCQs2cOVM5OTmKj4/XyJEjTX8JPoNZehbz9CyeOz3L\n2/MckiJ9/PhxxcfHy+FwaP369Vq2bJnGjh2r9PR0nTlzRkVFRZo7d64kKS0tTaNHj9bZs2dVU1Oj\nb3zjG8rJyfF0JL/GPD2HWXoW8xw6RUVFGj9+vB566CGlpKSoqKhIlZWVuv322yVJ+fn56unp0ebN\nm/XCCy+ov79fn/zkJxUREWE4ue9hlp7FPK8ez52eZXKeHi3S9fX1evLJJ/Xqq6+qpKREISEhSkpK\n0q9+9SvdcccdioqKksvl0uHDh5Wbmyun06kXX3xR11xzjSZPnqz58+crLi7OU3H8HvP0HGbpWczT\n806ePKkf/vCHGhgYUHx8vIqLi3XgwAEtW7ZMcXFxcrlc2rZtmyZNmqTo6GidO3dO48eP18yZMzVj\nxgzde++9FJULmKVnMU/P4bnTs3xhnh692HDr1q2Kjo7WCy+8oJtuuknf/va3dcMNN6irq0sbN26U\nw+FQRkaGOjs7FR8fr+joaGVmZnoyQkBhnp7DLD2LeXrWvn379OSTT2rMmDEqLy/Xv/7rv+ree+/V\ne++9p9LSUoWHhyszM1PR0dFqampSe3u7vve976m+vl7x8fEaNWqU6S/BZzBLz2KensVzp2f5wjyv\nuki73W653W5JurT3pKenR7NmzdL06dP13//933ryySf13HPP6ejRo9q2bZsaGhrU09MjSVq6dOnV\nRggozNNzbNvWwMCAJGbpCTw2Pe/iPHt6epSbm6t7771XDz74oDo6OvTWW2/pkUce0dNPPy1JGjFi\nhGpqahQZGano6Gj9+7//u1JTU03G9ykXv9eZpWfw2PQc27Z57vQgX3stGnSRbmhoOP8BLpzL197e\nrtDQUPX39186VuTb3/621q9fr6ysLH3pS1/SK6+8ok2bNumb3/wmdzP6G3V1dZKYpyeUlpaqu7tb\nlmXJ6XSqo6ODWV4FvteHzsUjw3p7exUfH6/y8nJJ0uOPP64f/OAHuu2225SYmKhnnnlG999/vxIS\nEpSQkCDbthUSEmIyus9obW2VJDmdTknM0hMunrkrMc+rce7cOUn/e/war0VXx1dfi654j3Rtba1W\nr16t1157TV1dXYqNjVVjY6PWrl2rlStXasuWLQoJCdGwYcMUGxurqqoqZWVl6ZprrtG8efO0cuVK\nJSQkDMkX449qa2v13e9+Vxs2bFBHR4dSU1NVWVmp3/3ud1qxYgXzvAL19fX67ne/q/Xr11/aJ3Xy\n5Em9/PLLuvnmm5nlFaqpqdEzzzyjt95669ITVktLi9asWcP3+iDV1NToueeeu/RCEBsbq3Xr1mn0\n6NHavn27kpOTlZqaqszMTBUXF8uyLH3hC1/QsGHDNGHCBH32s59VeHi4LMsy/aUYV11drWeeeUbN\nzc3Kz89XZ2enNm7cqFGjRjHLQaipqdHLL7+suLg4RUVFqb+/Xxs2bOCxOUgFBQV6/fXXlZ+fr6io\nKBUVFWndunW8Fg2Cr/fOKy7Sv/jFLxQdHa0vfvGL2rt3r3bu3Knly5dr0aJFioiIUGhoqPbs2aOi\noiIdOHBAO3bs0N13362IiIhLP+Hifz3//POKi4vTQw89pJdeekkjR47UlClTNG/ePOZ5hdatW6eY\nmBg99dRTKisr08SJE5WRkcEsB+knP/mJEhIS9PDDD+vkyZPavHmzVqxYoYULFzLPQXj99de1evVq\n5eXlqbq6Wvv27dOCBQt0+vRpzZkzRw0NDTpy5Igsy9KIESO0ZcsWXXfddUpNTVVycrKys7NNfwk+\n47e//a1WrVqlz372s7rlllsUEhKisLAwlZWVMctBeO2117Rq1SrFxcWpsLBQCQkJys3N1alTp5jn\nFXK73bIsSz/+8Y917NgxDRs2TPn5+UpPT+e1aJB8vXdeVpFev369XnvtNXV3d6uoqEgPPPCAsrOz\nlZaWpqNHj6qsrExTp06VJGVnZ2vUqFEqLy9Xb2+vHn/8cSUmJg711+FXLs6zo6ND7/3/7d1bSFRr\nH8fxrzVaqTWTB7STWOqojZVlBzPM9k1UqGNd1E1BSVk2YEFeJBQEFd1EZWVHkigRi3EKOqmgltJh\nS1o52cmCTEnUSnNGsxl13osXxde31Mydze7/uV4X//nxrLX+s9bzPOvvv9m6dSsTJ04kIyMDDw8P\n3JDUnQgAAAe1SURBVNzcGDduHCB59sdgMHD9+nXa29upqKjA39+f8+fP8+rVK8rKyqiqqpKx+QMM\nBgM3b96kpaWFwsJCtm3b1r0xfW5uLlarlZCQEEDyHKgXL17g4eFBdnY2GzZsIC4ujvb2dmpra4mI\niOhejBUQEIDJZOLmzZtkZmaiUqmIiYlBoVAM8y/4fbx8+RIPDw9evHiBn58fEyZM4MSJE9TX12Oz\n2YiMjAQky4HqGpt5eXlER0ezfv16Hj16hEKhQKPRoFarAclzILKzs7lw4QLV1dX4+/vz9OlT/P39\naWxsRKVS4e7ujs1mw8HBQa6dA2BPfWefjbTNZiMtLY3S0lIiIyMpKirCYDDg4uJCeHg4Y8aMYeTI\nkVRUVKDRaGhqauLatWssXLiQsLAwFixYIFve9NA7z8LCQsaPH8/y5cu5c+cOd+/eZcKECWRmZhIc\nHAzAlStXiIiIkDx76Znl4sWLKSgowGAwYLFYiIuLIzExkbFjx3LlyhVCQkJob2/n6tWrkuV39B6b\n9+7dIycnh5EjR7Jo0SKqq6v58uULzc3NaDQaPn36JOf6ALx9+5akpCS0Wi2VlZWo1Wrc3d15+vQp\nZWVlLF++vPvYz58/M2vWLGbPnk1UVBQrV66URqWHriyXLVuG1Wrlxo0bVFZWEh0dTX19PXq9nqio\nKEaPHk1TUxOhoaGSZR+68oyNjaW8vJy6ujrev39PXl4eJpOJ+vp6pk6dyqhRoyTPfhw8eBCj0cim\nTZs4d+4cNTU1pKSkMHHiRMrKymhrayMgIACFQkF1dTU3btyQa+d32GPf2eczbwcHB1paWtBqtSxd\nupSEhASUSiUXL16kqqqKUaNG4e7uTltbG25ubjg7O+Pr6/uLSrc/vfOMj4+noKCA5uZmoqKiMBgM\n6HQ6goODUSgUODo6Dvhb73+a3llu2bIFZ2dn8vPzsVqtAGg0mu5tmZycnCTLPvTOc9OmTahUKp4/\nf86+fftITU3Fx8eHjo6O7jmUcq73rbOzE71eT0tLC2lpaWzevBm1Wk1HRwf5+flotVrgv4u5Pn78\nyKFDhzCbzXh5ecmr8l66smxtbSU9PZ3w8HACAwPR6XRERUWxbt06fH19efLkCXV1daSmpkqWfeg5\nNs+ePYtOp8Pf35/jx4+zdu1aEhISePbsGbm5uTQ0NHDkyBHJsw8mk4k1a9YQFBREYmJi98LXKVOm\nMGPGDGpqaigvLwdAqVTKtbMP9th39tlId3Z24urqitlsxmw2M3nyZOLj42lpaeHYsWO8efOGe/fu\n8fnzZ1pbW1EqlURERPyq2u1O7zwDAgKIjIzkwIEDlJWV0dTUxLlz5zAajahUKsaNGyd5fkfvLKdM\nmUJ8fDwAt27dori4mMzMTCorK1EoFDI2+9E7z0mTJrFy5Uo8PDxYtWoV6enpKBQKLBYLFotF8hwA\nm82Gs7MzGRkZvHz5kvv37wPQ2NiIi4sLf/31F+fPn+fgwYOoVCr279+Pq6vrMFf9e+rK8uLFi1RU\nVFBeXs6OHTvw9vbuPsZsNqNWq/Hy8mLv3r2SZR96js3y8nIePnyIp6cnkydPRqvV4ufnx+jRo9Fo\nNHh6erJv3z7J8zs6OztZunQpM2fOBODOnTv/s09xZGQkVqsVo9FIa2ur3Nf7YY99Z59TO7q2Dysp\nKcHHxwc3NzeCg4MxGo0EBQVRUlJCbW0tO3fulG++D8C38pw3bx6XL1/m3bt3FBcX09TUxO7du/H0\n9Bzucn9r38oyKCgIo9FIaGgoz54948OHD+zatUu2EBqAb+UZGhpKVlYWnZ2dXL58mcrKSpKTkxk7\nduxwl2sXRowYwbRp0/D29sZisaDX64mNjeX169ccPnyYBw8e0NHRQWJiojQp/eid5aVLl4iJiSEp\nKYnHjx+Tnp6Oj48PS5YsQaFQyM4R/eiZ59evX7l+/TobNmwgLS2t+w2KUqlkxYoVODo6Sp596Jrz\n7OTkhNls5syZM+h0OlxdXWlsbESpVOLp6Ul4eDguLi7DXe5vzx77zn4nOc2ZM4eCggIKCwtxc3Oj\npqYGPz8/kpKSsFgsODk5/Yo6/zW+lWdgYCApKSm0trbi7Ow83CXaje+NzYSEBKxWq+xl+oO+lef0\n6dPZuHEjJpNJFsMMgru7OwDR0dEUFxdz9epVvL29UalUJCcnd6+FEP3ryjImJoaioiJycnI4evRo\n91zzsLCwYa7QvnTlGRsbS1FREXl5eeTk5HD37l3mz5/P3Llzh7lC+1NXV8fChQtpa2tDp9MREBDA\n9u3bCQwMHO7S7Iq99Z0ONpvN1t9Bnz59Qq/XU1paislkYvXq1cTFxf2K+v6VJM+hI1kOLcnzn3P7\n9m0yMzM5ffq0POH7Sbdv3yYjI4OTJ0/KH+Yh0JXnqVOnZBHhT8jKymLPnj0sWrQIrVZLbGzscJdk\nt+zpXjSgRrpLRUUFarVaLlxDRPIcOpLl0JI8/xnt7e3SqAyRjo6O7kVd4udJnj8vOzubhoYG4uPj\nf7unpvbKHu5FP9RICyGEEEKI/9e1T7T4s8gndIQQQgghfpI00X8maaSFEEIIIYQYBGmkhRBCCCGE\nGARppIUQQgghhBgEaaSFEEIIIYQYBGmkhRBCCCGEGARppIUQQgghhBiE/wAyiZdfjI0uxQAAAABJ\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117991828>"
      ]
     },
     "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": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}