From 3afff232dd98f28944d06ba257a2172b5a92d061 Mon Sep 17 00:00:00 2001
From: Will Holmgren <william.holmgren@gmail.com>
Date: Mon, 20 Jul 2020 19:52:20 -0700
Subject: [PATCH 1/7] remove pvsystem.systemdef

---
 pvlib/pvsystem.py            | 87 ------------------------------------
 pvlib/tests/test_pvsystem.py | 60 +------------------------
 2 files changed, 2 insertions(+), 145 deletions(-)

diff --git a/pvlib/pvsystem.py b/pvlib/pvsystem.py
index 24a8f4b66e..cd3b217122 100644
--- a/pvlib/pvsystem.py
+++ b/pvlib/pvsystem.py
@@ -903,93 +903,6 @@ def __repr__(self):
             ('{}: {}'.format(attr, getattr(self, attr)) for attr in attrs)))
 
 
-def systemdef(meta, surface_tilt, surface_azimuth, albedo, modules_per_string,
-              strings_per_inverter):
-    '''
-    Generates a dict of system parameters used throughout a simulation.
-
-    Parameters
-    ----------
-
-    meta : dict
-        meta dict either generated from a TMY file using readtmy2 or
-        readtmy3, or a dict containing at least the following fields:
-
-            ===============   ======  ====================
-            meta field        format  description
-            ===============   ======  ====================
-            meta.altitude     Float   site elevation
-            meta.latitude     Float   site latitude
-            meta.longitude    Float   site longitude
-            meta.Name         String  site name
-            meta.State        String  state
-            meta.TZ           Float   timezone
-            ===============   ======  ====================
-
-    surface_tilt : float or Series
-        Surface tilt angles in decimal degrees.
-        The tilt angle is defined as degrees from horizontal
-        (e.g. surface facing up = 0, surface facing horizon = 90)
-
-    surface_azimuth : float or Series
-        Surface azimuth angles in decimal degrees.
-        The azimuth convention is defined
-        as degrees east of north
-        (North=0, South=180, East=90, West=270).
-
-    albedo : float or Series
-        Ground reflectance, typically 0.1-0.4 for surfaces on Earth
-        (land), may increase over snow, ice, etc. May also be known as
-        the reflection coefficient. Must be >=0 and <=1.
-
-    modules_per_string : int
-        Number of modules connected in series in a string.
-
-    strings_per_inverter : int
-        Number of strings connected in parallel.
-
-    Returns
-    -------
-    Result : dict
-
-        A dict with the following fields.
-
-            * 'surface_tilt'
-            * 'surface_azimuth'
-            * 'albedo'
-            * 'modules_per_string'
-            * 'strings_per_inverter'
-            * 'latitude'
-            * 'longitude'
-            * 'tz'
-            * 'name'
-            * 'altitude'
-
-    See also
-    --------
-    pvlib.iotools.read_tmy3
-    pvlib.iotools.read_tmy2
-    '''
-
-    try:
-        name = meta['Name']
-    except KeyError:
-        name = meta['City']
-
-    system = {'surface_tilt': surface_tilt,
-              'surface_azimuth': surface_azimuth,
-              'albedo': albedo,
-              'modules_per_string': modules_per_string,
-              'strings_per_inverter': strings_per_inverter,
-              'latitude': meta['latitude'],
-              'longitude': meta['longitude'],
-              'tz': meta['TZ'],
-              'name': name,
-              'altitude': meta['altitude']}
-
-    return system
-
-
 def calcparams_desoto(effective_irradiance, temp_cell,
                       alpha_sc, a_ref, I_L_ref, I_o_ref, R_sh_ref, R_s,
                       EgRef=1.121, dEgdT=-0.0002677,
diff --git a/pvlib/tests/test_pvsystem.py b/pvlib/tests/test_pvsystem.py
index fb97d106ad..7b3b53262c 100644
--- a/pvlib/tests/test_pvsystem.py
+++ b/pvlib/tests/test_pvsystem.py
@@ -16,64 +16,7 @@
 from pvlib._deprecation import pvlibDeprecationWarning
 
 from conftest import (
-    needs_numpy_1_10, requires_scipy, fail_on_pvlib_version, DATA_DIR)
-
-
-def test_systemdef_tmy3():
-    from pvlib.iotools import tmy
-    tmy3_testfile = DATA_DIR / '703165TY.csv'
-    tmy3_data, tmy3_metadata = tmy.read_tmy3(tmy3_testfile)
-    expected = {'tz': -9.0,
-                'albedo': 0.1,
-                'altitude': 7.0,
-                'latitude': 55.317,
-                'longitude': -160.517,
-                'name': '"SAND POINT"',
-                'strings_per_inverter': 5,
-                'modules_per_string': 5,
-                'surface_azimuth': 0,
-                'surface_tilt': 0}
-    assert expected == pvsystem.systemdef(tmy3_metadata, 0, 0, .1, 5, 5)
-
-
-def test_systemdef_tmy2():
-    from pvlib.iotools import tmy
-    tmy2_testfile = DATA_DIR / '12839.tm2'
-    tmy2_data, tmy2_metadata = tmy.read_tmy2(tmy2_testfile)
-
-    expected = {'tz': -5,
-                'albedo': 0.1,
-                'altitude': 2.0,
-                'latitude': 25.8,
-                'longitude': -80.26666666666667,
-                'name': 'MIAMI',
-                'strings_per_inverter': 5,
-                'modules_per_string': 5,
-                'surface_azimuth': 0,
-                'surface_tilt': 0}
-    assert expected == pvsystem.systemdef(tmy2_metadata, 0, 0, .1, 5, 5)
-
-
-def test_systemdef_dict():
-    meta = {'latitude': 37.8,
-            'longitude': -122.3,
-            'altitude': 10,
-            'Name': 'Oakland',
-            'State': 'CA',
-            'TZ': -8}
-
-    # Note that TZ is float, but Location sets tz as string
-    expected = {'tz': -8,
-                'albedo': 0.1,
-                'altitude': 10,
-                'latitude': 37.8,
-                'longitude': -122.3,
-                'name': 'Oakland',
-                'strings_per_inverter': 5,
-                'modules_per_string': 5,
-                'surface_azimuth': 0,
-                'surface_tilt': 5}
-    assert expected == pvsystem.systemdef(meta, 5, 0, .1, 5, 5)
+    needs_numpy_1_10, requires_scipy, fail_on_pvlib_version)
 
 
 @pytest.mark.parametrize('iam_model,model_params', [
@@ -104,6 +47,7 @@ def test_PVSystem_get_iam_interp(sapm_module_params, mocker):
     with pytest.raises(ValueError):
         system.get_iam(45, iam_model='interp')
 
+
 def test__normalize_sam_product_names():
 
     BAD_NAMES  = [' -.()[]:+/",', 'Module[1]']

From d2af0c9cdc42a18901b4cca3caed2d31cc2f3b65 Mon Sep 17 00:00:00 2001
From: Will Holmgren <william.holmgren@gmail.com>
Date: Mon, 20 Jul 2020 20:01:48 -0700
Subject: [PATCH 2/7] remove systemdef from pvsystem.ipynb

---
 docs/tutorials/pvsystem.ipynb | 4098 ++-------------------------------
 1 file changed, 232 insertions(+), 3866 deletions(-)

diff --git a/docs/tutorials/pvsystem.ipynb b/docs/tutorials/pvsystem.ipynb
index 569f62042f..89065ef2a9 100644
--- a/docs/tutorials/pvsystem.ipynb
+++ b/docs/tutorials/pvsystem.ipynb
@@ -13,8 +13,7 @@
    "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",
+    "1. [Angle of Incidence Modifiers](#Angle-of-Incidence-Modifiers)\n",
     "2. [Sandia Cell Temp correction](#Sandia-Cell-Temp-correction)\n",
     "2. [Sandia Inverter Model](#Sandia-inverter-model)\n",
     "2. [Sandia Array Performance Model](#SAPM)\n",
@@ -22,13 +21,7 @@
     "2. [DeSoto Model](#desoto)\n",
     "2. [Single Diode Model](#Single-diode-model)\n",
     "\n",
-    "This tutorial has been tested against the following package versions:\n",
-    "* pvlib 0.4.5\n",
-    "* Python 3.6.2\n",
-    "* IPython 6.0\n",
-    "* Pandas 0.20.1\n",
-    "\n",
-    "It should work with other Python and Pandas versions. It requires pvlib >= 0.4.0 and IPython >= 3.0.\n",
+    "This notebook requires pvlib >= 0.8. See output of ``pd.show_versions()`` to see the other packages that this notebook was last used with. It should work with other Python and Pandas versions. \n",
     "\n",
     "Authors:\n",
     "* Will Holmgren (@wholmgren), University of Arizona. 2015, March 2016, November 2016, May 2017."
@@ -37,8 +30,16 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": "We suggest you install seaborn using conda or pip and rerun this cell\n"
+    }
+   ],
    "source": [
     "# built-in python modules\n",
     "import os\n",
@@ -64,98 +65,31 @@
     "import pvlib"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### systemdef"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pvlib\n",
-    "from pvlib import pvsystem, inverter"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "``pvlib`` can import TMY2 and TMY3 data. Here, we import the example files."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib)))\n",
-    "\n",
-    "tmy3_data, tmy3_metadata = pvlib.iotools.read_tmy3(os.path.join(pvlib_abspath, 'data', '703165TY.csv'))\n",
-    "tmy2_data, tmy2_metadata = pvlib.iotools.read_tmy2(os.path.join(pvlib_abspath, 'data', '12839.tm2'))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "{'surface_tilt': 0,\n",
-       " 'surface_azimuth': 0,\n",
-       " 'albedo': 0.1,\n",
-       " 'modules_per_string': 5,\n",
-       " 'strings_per_inverter': 5,\n",
-       " 'latitude': 55.317,\n",
-       " 'longitude': -160.517,\n",
-       " 'tz': -9.0,\n",
-       " 'name': '\"SAND POINT\"',\n",
-       " 'altitude': 7.0}"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "stream",
+     "name": "stdout",
+     "text": "\nINSTALLED VERSIONS\n------------------\ncommit           : None\npython           : 3.8.2.final.0\npython-bits      : 64\nOS               : Darwin\nOS-release       : 19.5.0\nmachine          : x86_64\nprocessor        : i386\nbyteorder        : little\nLC_ALL           : None\nLANG             : None\nLOCALE           : None.UTF-8\n\npandas           : 1.0.3\nnumpy            : 1.18.2\npytz             : 2019.3\ndateutil         : 2.8.1\npip              : 20.0.2\nsetuptools       : 46.1.3.post20200330\nCython           : 0.29.16\npytest           : 5.4.1\nhypothesis       : None\nsphinx           : 1.8.5\nblosc            : None\nfeather          : None\nxlsxwriter       : None\nlxml.etree       : None\nhtml5lib         : None\npymysql          : None\npsycopg2         : None\njinja2           : 2.11.2\nIPython          : 7.16.1\npandas_datareader: None\nbs4              : 4.9.0\nbottleneck       : None\nfastparquet      : None\ngcsfs            : None\nlxml.etree       : None\nmatplotlib       : 3.2.1\nnumexpr          : 2.7.1\nodfpy            : None\nopenpyxl         : None\npandas_gbq       : None\npyarrow          : None\npytables         : None\npytest           : 5.4.1\npyxlsb           : None\ns3fs             : None\nscipy            : 1.4.1\nsqlalchemy       : None\ntables           : 3.6.1\ntabulate         : None\nxarray           : None\nxlrd             : None\nxlwt             : None\nxlsxwriter       : None\nnumba            : 0.49.0\n"
     }
    ],
    "source": [
-    "pvlib.pvsystem.systemdef(tmy3_metadata, 0, 0, .1, 5, 5)"
+    "pd.show_versions()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'surface_tilt': 0,\n",
-       " 'surface_azimuth': 0,\n",
-       " 'albedo': 0.1,\n",
-       " 'modules_per_string': 5,\n",
-       " 'strings_per_inverter': 5,\n",
-       " 'latitude': 25.8,\n",
-       " 'longitude': -80.26666666666667,\n",
-       " 'tz': -5,\n",
-       " 'name': 'MIAMI',\n",
-       " 'altitude': 2.0}"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "pvlib.pvsystem.systemdef(tmy2_metadata, 0, 0, .1, 5, 5)"
+    "import pvlib\n",
+    "from pvlib import pvsystem, inverter"
    ]
   },
   {
@@ -167,18 +101,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -192,18 +127,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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zx+pygJRFkAbSkD8Q1ItvbtLgygKdMaLK6nIAxMHFZx4jwzC05F90pYF4IUgDaWjlxzvV2NqlyyYcwwJDIEWVFGTp7JMHaMXHO9kOD4gTgjSQZgLBoP7yf19ocGWBRh5bZnU5AOLowjMGK8Pl0Mt0pYG4IEgDaeadtXWq2+XR1PFHcxpwIMUV5WXqa2MG6J1P69TY0mV1OUDKIUgDacQ0TS19e6sGlOfp5CHlVpcDIAHOGxs60dLr7223uBIg9RCkgTSyfnuLttW16/xTBzE3GkgT5UU5GjvMrX989KU83X6rywFSCkEaSCN/e3+7crNcOv2kSqtLAZBAk087Sp7ugP61hrMdArFEkAbSxK62br33eb2+Orof+0YDaeaYfoU6uqpAb35UI9M0rS4HSBkEaSBN/HPNDgWCps4+eYDVpQCwwFdH99f2+g5t2dlmdSlAyiBIA2nANE2t+Hinhg4qVkVJrtXlALDA6SdWKtPl0Fsf1VhdCpAyCNJAGti8o021TZ2cxRBIY7nZLo0dVqH/+7RW3d6A1eUAKYEgDaSBFR/vUIbLobFDK6wuBYCFzhzZT13egD7a2GB1KUBKIEgDKc4fCOqdtXU6+YRy5Wa7rC4HgIWGDipWYV6m3v2szupSgJRAkAZS3Gdbd6nd49PpJ7LlHZDuHA5DY4e6tXpjo7q87CkNHCmCNJDi3l/XoKwMp4YfU2p1KQBs4NRhFfL5g/poQ6PVpQBJjyANpLCgaeqD9fUacWypMtk7GoCkEwYVqyg/U6s+Z3oHcKQI0kAK21zTqpZ2r74yxG11KQBswmEYGn1cuT7Z3CR/IGh1OUBSi2uQXrJkiS688EJNmjRJzzzzzH63f/LJJ7r88st18cUX64YbblBra2s8ywHSzvvr6+V0GBp9XJnVpQCwkdHHlanLG9D6bc1WlwIktbgF6draWi1YsEDPPvusFi9erOeff14bNmzocZ/77rtPc+bM0csvv6xjjjlGjz/+eLzKAdLSx5uadMLAIuVmZ1hdCgAbOfHoErmchlZvYp40cCTiFqRXrFihcePGqbi4WLm5uZo8ebKWLl3a4z7BYFAdHR2SJI/Ho+zs7HiVA6Sdlg6vttW1s8gQwH6yM10aOqhYqzcSpIEjEbcgXVdXJ7d7z7zMiooK1dbW9rjPrbfeqttvv11nnXWWVqxYoSuvvDJe5QBp59MtTZJEkAZwQKOOK9eOxk7VN3usLgVIWnE7O0MwGJRhGJHLpmn2uNzV1aX58+frySef1KhRo/TEE0/ohz/8oR599NFDfo6ysvyY1pyO3O4Cq0tIOXYZ04071qsgN1OnDO8vh8OI/gU2ZZfxTCWMaWwl63ie9ZWBeu719fqyyaOTTrDXWU+TdUztjDGNj7gF6aqqKq1atSpyub6+XhUVe35R161bp6ysLI0aNUqSdMUVV+iXv/zlYT1HY2O7gkEzNgWnIbe7QPX1bVaXkVLsMqamaeq9z2o17KhiNTa2W11On9llPFMJYxpbyTye2Q6pIDdD736yU2OOtc87V8k8pnbFmB4Zh8PotXkbt6kd48eP18qVK9XU1CSPx6Ply5drwoQJkdsHDx6snTt3atOmTZKk119/XSNHjoxXOUBa2dHYqZZ2L9M6APTKMAwNHVSsddt2yTRpSgF9EbeOdGVlpebOnatZs2bJ5/Np+vTpGjVqlGbPnq05c+Zo5MiRuv/++/W9731PpmmqrKxMP/nJT+JVDpBW1m8PbWl1wsAiiysBYGdDjyrRqs/r1dDSJXdxjtXlAEknbkFakqqrq1VdXd3jusceeyzy+cSJEzVx4sR4lgCkpQ3bW5Sfk6Gq0lyrSwFgY8OOKpYkfbZ1F0Ea6APObAikoPVftuj4AUU9FvgCwL76l+cpPydDn2/lxCxAXxCkgRTT0uFV3S4P0zoARGUYhk4YWKSNNZxZGOgLgjSQYjZsb5EknTCw2OJKACSDY/sXqrapUx1dPqtLAZIOQRpIMRu+bJbL6dDgKvYMBRDdMf0KJUmbd9CVBg4XQRpIMZt3tOmoynxluPj1BhDd0VWFMiRtZnoHcNg40gIpJGia2lrbRjcawCHLzXapqixXm3dwwg7gcBGkgRRSv8ujLm9AgysJ0gAO3bH9CrWppoUTswCHiSANpJAvakMdpaPpSAM4DEf3K1Rrp0+72rqtLgVIKgRpIIV8sbNNLqeh/uV5VpcCIIkMqsiXJG2vb7e4EiC5EKSBFPJFbZsGuPPlcvKrDeDQDXSHgvS2OoI0cDg42gIpwjRNfbGzjfnRAA5bbrZLZYXZBGngMBGkgRTR3O5VR5c/8hYtAByOQRX52l7fYXUZQFIhSAMpoqYxdABkfjSAvhhYkaedjZ3y+QNWlwIkDYI0kCJqGgjSAPpuoDtfQdNUTUOn1aUASYMgDaSImoYO5WW7VJibYXUpAJIQO3cAh48gDaSImoYODSjPk2EYVpcCIAlVlOTI6TAi08QAREeQBlKAaZqqaehgWgeAPnM6HKooydHORqZ2AIeKIA2kgNaO0I4dBGkAR6KqNFc7mwjSwKEiSAMpgIWGAGKhqixXdbs8CgSDVpcCJAWCNJACwh2kqtJciysBkMyqSnMVCJpqaOmyuhQgKRCkgRRQ1+xRhsuh4oIsq0sBkMT6lYbe1drBPGngkBCkgRRQt8sjd3GOHOzYAeAIVJWF3tViwSFwaAjSQAqob/aoojjH6jIAJLn8nAzl52SodhdBGjgUBGkgyZmmqbrmUEcaAI6Uuzhb9c0eq8sAkgJBGkhyLR1eeX1BVZQQpAEcufKiHDU0s9gQOBQEaSDJ1e0KdY7oSAOIhfLibDW2dikYNK0uBbA9gjSQ5MJvwVbSkQYQA+6iHAWCpna1dVtdCmB7BGkgydXt8sgwpLKibKtLAZACwu9uNbQwTxqIhiANJLn6Zo/KCrPlcvLrDODIlReH/iivZ540EBVHXiDJNbR2qZxuNIAYKSvMliE60sChIEgDSa6ptUslBQRpALHhcjpUUphFRxo4BARpIIkFg6aa27wqLeTU4ABip7woh440cAgI0kASa27vVtA0VVpIRxpA7JQVZrFrB3AICNJAEmvafaAroyMNIIaKC0JBOmiylzRwMARpIIk1tYbmMJYyRxpADJUWZCsQNNXe6bO6FMDWCNJAEmtqDXWkmSMNIJaK80OvKUzvAA6OIA0ksaa2LmVlOpWT5bK6FAApJPzHOUEaODiCNJDEdrV2q7QgS4ZhWF0KgBSypyPNFnjAwRCkgSTW2NrFjh0AYq4oL1MOw4gsaAZwYARpIIntau9WSQHzowHElsNhqCg/U80EaeCgogbphoaGRNQB4DAFg6baOnwqzs+0uhQAKai0IIuONBBF1CB97bXXJqIOAIep3eNT0DRVlEdHGkDsFRdkqbmdIA0cTNQgPWDAAL3//vsKBoOJqAfAIWrp8EoKzWUEgFgryacjDUQTdc+sjRs36uqrr5bL5VJmZqZM05RhGHr//fcTUR+AXrR0hA5whQRpAHFQlJ+pbm9A3d6AsjKdVpcD2FLUIP3MM88kog4Ah6mlfXdHmjnSAOIg/Ed6S6dXFZk5FlcD2NMhTe1Ys2aNFi5cqNLSUn3wwQcaMGBAImoDcBCtTO0AEEfh15bwaw2A/UUN0o8++qiee+45LV26VF1dXfp//+//6ZFHHklEbQAOoqXDq6wMp7IzOashgNgryCVIA9FEDdJ/+ctf9NhjjyknJ0clJSVauHChXnnllUTUBuAgWju8dKMBxE2kI91JkAZ6EzVIhxcZhhUWFsrlogMGWK2lw6tC5kcDiBM60kB0UYN0v3799MYbb8gwDHm9Xv36179mjjRgAy10pAHEUYbLodwsF0EaOIioQfqOO+7QE088oc8//1xjxozRm2++qTvuuCMRtQE4iJb2boI0gLgqzMskSAMHEXWORmVlpX7/+9/L4/EoEAgoPz//kB98yZIl+vWvfy2/369vfOMbuuaaa3rcvmnTJt11111qaWmR2+3Wz3/+cxUVFR3+dwGkGX8gqI4uP0EaQFwRpIGD6zVIP/bYY5o9e7buvfdeGYax3+233377QR+4trZWCxYs0IsvvqjMzExdeeWVOv3003X88cdLkkzT1L//+79r/vz5mjBhgh588EE9+uijuuWWW47wWwJSX1unT9KeOYwAEA+FeZnaVtdudRmAbfUapAsKCiRJJSUlfXrgFStWaNy4cSouLpYkTZ48WUuXLtVNN90kSfrkk0+Um5urCRMmSJK+853vqLW1tU/PBaSbdk8oSOfnZFhcCYBUVpSbqU/oSAO96jVIv/jii7ryyivl8Xj61CWuq6uT2+2OXK6oqNDq1asjl7du3ary8nLddtttWrt2rY499ljmXgOHiCANIBEK8jLk6fbLHwjK5Yy6rApIO70G6YaGBv3mN7/RK6+8ovLy8v1uv+666w76wMFgsMeUENM0e1z2+/1655139PTTT2vkyJH6xS9+oZ/+9Kf66U9/esjFl5Ud+nxtHJjbXWB1CSknEWO6rqZNkjRoQHHK/x+m+vdnBcY0tlJ5PKvKQ8fZ7NwslRRmJ+x5U3lMrcKYxkevQfree+/VX/7yF3V1dWndunWH/cBVVVVatWpV5HJ9fb0qKioil91utwYPHqyRI0dKkqZOnao5c+Yc1nM0NrYrGDQPuzaEuN0Fqq9vs7qMlJKoMf2yNjQNyuvxpvT/IT+jsceYxlaqj6cZCEqSvti+S353YppXqT6mVmBMj4zDYfTavO01SJ955pk688wz9fjjj+tb3/rWYT/p+PHj9fDDD6upqUk5OTlavny57r333sjtJ598spqamvTZZ59p2LBh+tvf/qbhw4cf9vMA6YipHQASIfwa09Hlt7gSwJ6i7tpRU1OjH//4x/vdHm3XjsrKSs2dO1ezZs2Sz+fT9OnTNWrUKM2ePVtz5szRyJEj9cgjj+j222+Xx+NRVVWVHnjggSP/joA00OHxKSvTqQwXcxYBxE84SIf/eAfQU9x27ZCk6upqVVdX97jusccei3w+evRovfDCC31+fCBdtXt8ys+mGw0gvvJyQjGBIA0cWK9B+sorr5SkyHZ1AOyj3eNjWgeAuItM7SBIAwfUa5A+55xzDngiFkkyDEOvvfZa3IoCcHChIB31xKQAcESyMpxyOQ060kAvej0SP/TQQ5KkZ599VhkZGbriiivkdDr14osvyufjFwqwUrvHp/KixG1FBSA9GYahvJwMgjTQi16D9IgRIyRJ69ev15/+9KfI9fPmzdP06dPjXxmAXnV4fCrI4fTgAOIvnyAN9Crqkv/W1lY1NTVFLtfW1qq9vT2uRQHoXSAYVGeXP7IICADiKT87gznSQC+iHom/8Y1vqLq6WmeddZaCwaBWrFjRp1OGA4iNji6/TLGHNIDEyM/J0I6mTqvLAGwpapC++uqr9ZWvfEUrV66UYRiaPXu2hgwZkojaABxABydjAZBAeTl0pIHeHNJ7w5s2bdLnn38uv9+v4uJigjRgIc5qCCCR8nJcavf4ZJpmr7t5Aekq6hzpxx9/XL/97W81bNgwDR8+XE888YR+9atfJaI2AAfQuftUvbmckAVAAuRlZygQNOX1B60uBbCdqB3pxYsX67nnnlN+fr4kafr06fr617+uG2+8Me7FAdhfZ3c4SLPYEED85WaFXms6u/zKynBaXA1gL1E70pIiIVoKnTrc5eIADljFsztI52Txewgg/sKvNeHXHgB7RA3SAwYM0O9//3v5fD75fD49+eST6t+/fyJqA3AAkakdWXSGAMRf+N2vToI0sJ+oQfruu+/Wa6+9pjFjxmjMmDFavny57rzzzkTUBuAAPN1+uZwOZbgI0gDij4400Luo7w1XVlbqqaeeksfjUTAYVF5eXiLqAtALT7efbjSAhCFIA72LGqTXr1+vp556Si0tLT2u/+Uvfxm3ogD0rrPbrxx27ACQIHsvNgTQU9Qg/b3vfU9nnXWWhg4dmoh6AETRSUcaQALl0pEGehU1SGdnZ2vevHmJqAXAIfB0+SMHNgCIt8wMh5wOg8WGwAFEXWx42mmn6R//+IcCgUAi6gEQRWe3n63vACSMYRjKyXIRpIEDiHo0Li8v1w033BA5LWj4FNXcGZkAACAASURBVKFr166Ne3EA9uchSANIsJwsJ1M7gAOIejReuHChFi5cqEGDBiWiHgBRdHb7OashgITKzcpgsSFwAFGPxqWlpRo1alQiagEQhT8QlNcXpCMNIKHoSAMHFvVoPGbMGM2ZM0eTJk1SZmZm5PpJkybFtTAA+wsfyFhsCCCRcrMzVLur0+oyANuJejT++OOPJUnPP/985DrDMAjSgAXCQZqONIBEoiMNHFjUo/FTTz2ViDoAHAJPd2j3HOZIA0ik3KwMgjRwAFG3vwNgH51dPklM7QCQWKGOdEDBoGl1KYCtEKSBJNLlC3WkszMJ0gASJ/ya0+3jnBLA3gjSQBLp9oYOYlmZnCIcQOJk737NIUgDPfXa1lq+fPlBv5DFhkDidYWDdAZBGkDihP94D78GAQjpNUgfbJEhu3YA1ggfxLLpSANIoEhHmiAN9NCnIA3AGuG3VelIA0ik7IxwR5qdO4C9RV2xtGXLFj399NPq7OyUaZoKBoP64osv9Mc//jER9QHYS7c3oMwMhxwOw+pSAKSRLBYbAgcUdbHhf/7nf8rn8+mDDz7QgAEDtGHDBg0ZMiQRtQHYR5fXH+kMAUCiMEcaOLCoQbqjo0N33323zjrrLE2YMEFPPPGEPvzww0TUBmAfXb4AO3YASLgcgjRwQFGDdHFxsSRp8ODBWr9+vQoLC2UYvK0MWKHbG1BWBntIA0isLBYbAgcU9Yg8ePBg3Xfffbrssss0f/58dXZ2yu9nsQFghS5vQNlZdKQBJFZ4gXMXc6SBHqJ2pH/0ox9p7NixOumkkzRjxgy9/fbbuueeexJRG4B9dPsCzJEGkHAup0Mup0FHGthH1CAdCAS0ZcsWSdLEiRPVr18/nXjiifGuC8ABdHmZIw3AGlkZTra/A/YRNUjPmzdPzc3NkhSZH33HHXfEvTAA++tm1w4AFsnOdNGRBvYRNUhv2bJFP/zhDyVJBQUFuu2227R+/fq4FwZgf3SkAVglO9PJHGlgH1GDtN/vV3t7e+RyR0eHTNOMa1EADqyb7e8AWCQr00lHGthH1F07Lr30Us2YMUMXXHCBDMPQq6++qmnTpiWiNgB78QeC8gdMZWey/R2AxMvKoCMN7CvqEfmGG27Q8ccfr5UrV8rlcukHP/iBJk6cmIjaAOwlfCIE5kgDsEJ2plNtzT6rywBspdcg3d7ervz8fDU3N+uUU07RKaecErmtubk5cqIWAIkRfkuVqR0ArJCd6VS3j107gL31GqRnzpypRYsWady4cT3OZGiapgzD0Nq1axNSIICQ8Fuq2QRpABbIYtcOYD+9BulFixZJkj777LOEFQOgd5GONFM7AFggmznSwH6i7trR0NCg119/XZL04IMP6hvf+AbhGrBA9+4TIdCRBmCFrEynvL6ggkF27gLCogbpW2+9Vdu2bdPKlSv15ptv6pJLLtGPf/zjRNQGYC/dvqAkKZOONAALhN8N8/rpSgNhUYN0c3OzvvnNb+rNN9/U1KlTNW3aNHk8nkTUBmAv4YNXpivqry0AxFxmRui1x7v7j3oAhxCkfT6ffD6f3nrrLY0fP14ej0ednZ2JqA3AXrx0pAFYKMMVDtJ0pIGwqEH63HPP1RlnnKGSkhKNGDFCM2bM0NSpUxNRG4C9+OhIA7DQnqkddKSBsKhH5BtvvFGvvPKK/vCHP0gKLTj87ne/e0gPvmTJEl144YWaNGmSnnnmmV7v98Ybb+icc845xJKB9MQcaQBWynQxRxrYV9QgffbZZ+u5557Tjh07JEnDhg07pAeura3VggUL9Oyzz2rx4sV6/vnntWHDhv3u19DQoJ/97GeHWTaQfsId6Qw60gAskMEcaWA/UY/ICxculNPp1DXXXKMbbrhBb7zxhkwz+tY3K1as0Lhx41RcXKzc3FxNnjxZS5cu3e9+t99+u2666aa+VQ+kEa8/KIdhyOUkSANIvCw60sB+oh6R+/Xrpzlz5uj111/XjBkzdO+99+rcc8/V7373O3m93l6/rq6uTm63O3K5oqJCtbW1Pe7zhz/8QSeddJJGjx59BN8CkB68vmBk1TwAJNqexYZ0pIGwXs9suLeNGzfqT3/6k1555RWNGTNG06ZN01tvvaWbb75Zv/71rw/4NcFg8ICnFg9bt26dli9frieffFI7d+7sU/FlZfl9+jrs4XYXWF1CyonXmDoznMrOdKXd/1m6fb+JwJjGVrqMZ/fuN6OzczLj/j2ny5gmEmMaH1GD9FVXXaVt27bp8ssv1wsvvKCqqipJ0te+9jWNGzeu16+rqqrSqlWrIpfr6+tVUVERubx06VLV19fr8ssvl8/nU11dna6++mo9++yzh1x8Y2M7Z1g6Am53gerr26wuI6XEc0xbWrvkchpp9X/Gz2jsMaaxlU7j2dHWJUlqaOqI6/ecTmOaKIzpkXE4jF6bt1GD9NVXX60LLrhAGRkZ+zyoQ3//+997/brx48fr4YcfVlNTk3JycrR8+XLde++9kdvnzJmjOXPmSJK2b9+uWbNmHVaIBtKNzx9goSEAy7CPNLC/qEH6/PPP11//+lc1NTX1WGR43XXXKS8vr9evq6ys1Ny5czVr1iz5fD5Nnz5do0aN0uzZszVnzhyNHDkyNt8BkCa8/mBk+ykASLTw1ps+9pEGIqIG6f/8z//Ujh07NGTIkB5znA9FdXW1qqure1z32GOP7Xe/gQMH6m9/+9thPTaQbry+AIsNAVgm3JHupiMNREQN0uvWrdOyZcvkcHAAB6zk8weVnUlHGoA1HIahDJeDMxsCe4majsvKyuT3+xNRC4CD6PYFOashAEtluhzysf0dENFrR/qJJ56QJLndbs2cOVPnnntujwWH1113XfyrAxDBYkMAVsvMcKqbE7IAEb0G6XXr1kmS8vPzlZ+fr82bNyesKAD7Y7EhAKtluhzs2gHspdcgff/99/e43NLSIqfTqfx8ToICWIHFhgCslpnhZNcOYC9Rj8qbNm3S5ZdfrvHjx+v000/Xtddeq5qamkTUBmAvPjrSACxGRxroKWqQnjdvnmbMmKEPP/xQH3zwgSZPnqz58+cnojYAu5mmGZraQUcagIUyM5zs2gHsJepR2ePx6Morr1RGRoYyMzM1c+ZMNTQ0JKI2ALuF30plsSEAK2W4HPKyawcQEfWofOyxx+r999+PXF63bp0GDhwY16IA9BTuADG1A4CVQh1ppnYAYVFPyFJTU6OZM2dq6NChcrlc+vTTT+V2uyNnLFyyZEnciwTSXXhOIlM7AFiJOdJAT1GD9A9+8INE1AHgIHx0pAHYQIbLIV/AtLoMwDaiBunTTjstEXUAOIhuOtIAbMDldMjPYkMggqMykAT2LDakIw3AOqGONEEaCCNIA0lgz2JDfmUBWCfckTZNpncAEkEaSArhxT0ZTO0AYKEMl0OmpECQIA1IBGkgKfh3v5Wa4eRXFoB1wq9BnCYcCOGoDCSB8JxETsgCwErh1yDmSQMhHJWBJBDu/rjoSAOwUDhIs3MHEMJRGUgC/t37ttKRBmAll9OQREcaCOOoDCQBPx1pADYQ3oKTjjQQwlEZSAIsNgRgB3SkgZ44KgNJIHzQcrkMiysBkM72zJFm+ztAIkgDScEfCMowJKeDX1kA1tmz/V3A4koAe+CoDCQBv99kWgcAy7ki29/RkQYkgjSQFHyBIDt2ALAcJ2QBeuLIDCQBnz/Ijh0ALBeZI81iQ0ASQRpICv4AQRqA9Vx0pIEeODIDScAfCEbmJgKAVThFONATR2YgCfj8QWU42foOgLXCHWlOyAKEEKSBJOAPmEztAGA5OtJATxyZgSTgZ9cOADaQQUca6IEjM5AEfCw2BGADDochp8OgIw3sxpEZSAJ+Px1pAPbgcjrYtQP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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -217,18 +153,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
-      ]
+      "text/plain": "<Figure size 432x288 with 1 Axes>",
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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -269,18 +206,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "43.509190983665746"
-      ]
+      "text/plain": "43.509190983665746"
      },
-     "execution_count": 9,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 7
     }
    ],
    "source": [
@@ -291,18 +226,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
-      ]
+      "text/plain": "<Figure size 432x288 with 1 Axes>",
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EjDE/A9p/1gvl5hcyfvZqDp46z+ShMdSrHGJ1JOViVSsGMn9cFzrUjeCB+WuYvWKf1ZGUg5Xle/39IrLevrkowmGJlFswxvDUpxtJ3n2Sl3tHEdsg0upIyiKVgvxJHNmJG5tX41+fbuS9H3Zov6FypLRFYCLQGGgPHAFeL25EERkrIqkikpqertsVPcXkn3ezIPUAf72pCT07aFM4bxcc4MukIdH07FCb177bzgtfbdF+Q+VEqdpGGGP+e1UKEZkCfHmZcScDkwFiYmL0r8YDfLvpKC8t3sqf29bkoVuaWR1HuQl/Xx9e79OOsGB/pv26h9PZebzcKwo/PVDAo5WqCIhITWPMEfvDnsDGy42vPMfGQ5k8OH8tbeuE83qfdtoUTv2Bj4/w9F2tiAwN4I0l28k8n8d7AzsQ5K/9hjxVSQ4RnQckA81F5KCIjAJeEZENIrIeuBF4yMk5lQsczcxhVGIKkaEBTBkarf/YqkgiwgM3N+W5Hq1ZuvUYw6av4kyO9hvyVFf8JmCMGVDE4GlOyKIslJ2bz6jEFM7m5LNofFeqVdSmcOryhsY1ICzYn4cXrmPAlBXMGNGJKhUCrY6lrpJuzFMUFhoenL+WLUeyeG9gR1rW1KZwqmR6tK/NlKEx7Dx+lr4JyRw8pf2GPI0WAcXLi7fy3eZjPHVnK25sUc3qOMrD3NiiGrNGdSb97AX6JCSz8/gZqyOpq6BFwMstSNnPpJ93M6RLfYZ3bWB1HOWhYhtEsnBcHHkFhj4Jyaw9cNrqSKqEtAh4seW7TvDkJxu5rmkVnr6rlTaFU2XSsmYlPhofR4UgPwZOWcFvO09YHUmVgBYBL7U7/SzjZ6+mYZVQ3h/UUY/1Vg5Rv3Ioi+K7UjcihBEfprB445ErT6Qspf/5XujUuVxGzkjBz0eYPjyWSkHaFE45TvVKQSwY14U2tSvxlzmrWZCy3+pI6jK0CHiZ3PxC4mencTgzh8lDo6kbqU3hlOOFhwQwe3Rnrm1alUc/2sCkn3ZZHUkVQ4uAFzHG8OQnG1i5J4NXe7clur42hVPOExLgx9ShMdzZtib/+WYr//lmizaec0OlahuhPFPCT7tJSjvIAzc3pUf72lbHUV4gwM+Ht/t3ICzYn0k/7SYzO48JPaPw1XYkbkOLgJdYvPEILy/eyl3tavHQLU2tjqO8iK+P8MI9bYgMDeDdH3aSeT6Pt/q3J9BP25K4A90c5AXWHzzNgwvW0qFeOK/2bquHgiqXExEevq05T93Zim82HmXUjFTOXci3OpZCi0C5dyTzPKMTU6kcGsjkITHaFE5ZatS1DXmtTzuSd59k4NSVnDqXa3Ukr6dFoBw7dyGfUTNSyc4tYPrwWKpW1OZeynq9o+uQMDiaLUey6DMpmSOZ562O5NW0CJRTBYWGv81fy9ajWbw3sAPNa1S0OpJS/3Vrq+rMHNmJo5k59J6YzO70s1ZH8lpaBMqpl77ZwvdbjvH0Xa25obk2hVPup0ujyswf24WcvAL6JCSz8VCm1ZG8khaBcmjeqv1M+WUPw+LqM0ybwik31qZ2GEnxcQT5+zJg8gpW7j5pdSSvo0WgnPlt5wme+nQj1zerylN3trI6jlJX1KhqBZLi46hWKZCh01fx/eZjV55IOYwWgXJk5/GzxM9Oo1HVUN4d2EGbwimPUSs8mKT4rrSoUZFxs9P4KO2g1ZG8hq4lyomMc7mMSkwh0M+HacO0KZzyPJGhAcwZ04UujSJ5OGkd037dY3Ukr6BFoBy4kF9A/Kw0jmTmMGlIjDaFUx6rQqAf04fH0q11DZ7/cjOvf7dN+w05mRYBD2eM4fGPN7Bqbwav9WlHdP0IqyMpVSaBfr68N7AD/WLq8u4PO/n3Z5soLNRC4CzaO8jDffDjLj5efYiHbmnG3e1qWR1HKYfw8/XhpV5RhIf4M+nn3Zw+n8frfdoR4KefWx1Ni4AH+3rDEV79dhs92tfigZubWB1HKYcSER7v3pKI0ABe+mYrWefzmDi4IyEButpyJC2rHmrdgdM8tGAt0fUjeLmXNoVT5Vf89Y156d4oftmRzpBpq8jMzrM6UrmiRcADHTp9ntEzU6laMZBJQ6K1KZwq9/p3qsf7Azuy4WAm/SYnczwrx+pI5YYWAQ9z9kI+o2akkJNbwIfDY6lSQZvCKe9wR1RNpg+PZX9GNr0Tktl/MtvqSOWCFgEPUlBo+Nu8New4fpb3BnWkaXVtCqe8y7VNqzB3TBeycvLolbCcLUeyrI7k8bQIeJAXv97C0q3HeeauVlzfrKrVcZSyRPu64SSNi8NXhH6Tkkndm2F1JI+mRcBDzFm5j2m/7mF41wYMiWtgdRylLNW0ekUWjY+jcoVABk9bybJtx62O5LG0CHiAX3ak8+/PNnFjc20Kp9Tv6kSEkBQfR+OqFRiTmMpnaw9ZHckjaRFwczuPn+Evc1bTtFoF3h3YEV8fPRRUqd9VqRDIvLFd6Fg/ggcXrGVW8l6rI3kcLQJu7OTZC4yYkUKgny9Th8VQIVBPklHqUpWC/Jk5shM3t6jGU59t4p2lO7Tf0FXQIuCmLuQXED87jeNZF5gyNJo6EdoUTqniBPn7MnFwNPd2qM0bS7bz3Jebtd9QCelHSzdkjOGxjzaQsvcU7w3sQId62hROqSvx9/XhtT7tCA8JYPpve8jMzuPl3m3x1+tqXNYVXx0RmS4ix0Vk40XDIkVkiYjssP/UtZQDvffDTj5Zc4iHb23GnW21KZxSJeXjIzx1Z0sevrUZH685xPjZaeTkFVgdy62VpETOALpdMuwxYKkxpimw1P5YOcCX6w/z+pLt9OxQm/tv0qZwSl0tEeGvNzfl+XvasHTrcYZOX0VWjvYbKs4Vi4Ax5mfg0rMxegCJ9vuJwD0OzuWV1uw/xcML1xFTP4KXekVpUzilymBIl/q83b8Dq/edYsDkFZw4e8HqSG6ptBvLqhtjjtjvHwWqOyiP1zp4KpsxM9OoXimISUOiCfTTpnBKldXd7WoxdVgMu9LP0ichmQMZ2m/oUmXeY2Jsx2IVuxteRMaKSKqIpKanp5d1ceXSmZw8RiemciG/gOnDY6isTeGUcpgbmldjzujOnDx7gT4Jyew4dsbqSG6ltEXgmIjUBLD/LPacbWPMZGNMjDEmpmpV7XdzqfyCQh6wN4WbOCiaJtW0KZxSjhZdP5IF4+IoMIY+k5JZs/+U1ZHcRmmLwOfAMPv9YcBnjonjfV74agvLtqXz7N2tubZpFavjKFVutaxZiY/iu1IpyJ9BU1fy644TVkdyCyU5RHQekAw0F5GDIjIKeAm4VUR2ALfYH6urNCt5LzOW72XkNQ0Z3KW+1XGUKvfqVQ5hUXwc9SJDGDkjhW82HLnyROWcuPL06piYGJOamuqy5bmzn7anM3JGCjc0q8rkoTHaE0gpF8rMzmNkYgpr9p9iQs8oBnSqZ3WkyxKRNGNMjDPmrafSWWD7sTPcb28K9/aADloAlHKxsBB/Zo3qxHVNq/L4xxuY+OMuqyNZRouAi504e4GRM1IICvBl+vBYbQqnlEVCAvyYMjSGu9vV4uXFW/nP11u8svGcroFcKCevgLEzU0k/c4EF4+KoFR5sdSSlvFqAnw9v9WtPWLA/k37ezansXF7sGYWfF/Ub0iLgIsYYHv1oPav3n+aDQR1pXzfc6khKKWz9hp7r0ZqI0ADeWbqDzPN5vN2/A0H+3nHCpveUO4u9s3Qnn609zCO3N6d7VE2r4yilLiIi/P3WZjx9Vyu+3XSMkTNSOHsh3+pYLqFFwAU+X3eYN7/fTq+OdfjLDY2tjqOUKsaIaxryRt92rNyTwcApK8g4l2t1JKfTIuBkaftO8Y+kdXRqEMmL97bRpnBKubl7O9Zh0uBoth09Q5+E5Rw+fd7qSE6lRcCJDmRkM3ZmKjXDgkjQpnBKeYxbWlVn5shOHM+6QO+Jy9mVftbqSE6jRcBJzuTkMSoxhbyCQqYNiyUyNMDqSEqpq9C5UWXmje1CbkEhfRKS2Xgo0+pITqFFwAnyCwq5f+4adqefY+LgaJpUq2B1JKVUKbSpHUZSfFeC/X3pP3kFybtOWh3J4bQIOMHzX27mp+3pPH9PG65pok3hlPJkDauE8tH4rtQMC2LYh6v4btNRqyM5lBYBB0tcvpfE5H2Mua6h2/cjUUqVTI2wIBaOi6NlzUqMn7OaRWkHrY7kMFoEHGjZtuM8+8UmbmlZncfuaGl1HKWUA0WEBjB3dGfiGlXmH0nrmPrLbqsjOYQWAQfZdvQMf527hhY1KvF2//baFE6pcig00I9pw2PoHlWDF77awmvfbvP4fkPaNsIB0s/YmsKFBPgybXgModoUTqlyK9DPl3cHdCQseAPvLdvJqexcnuvRxmM/+Onaqoxy8goYOyuVk+cukDSuKzXDtCmcUuWdr4/wYs8owkMCmPjjLjLP5/FG3/YE+HnexhUtAmVgjOGRRetZs/80CYM7ElUnzOpISikXEREe7daC8GB//vPNVjLP5zFpSDQhAZ61WvW8suVG3vp+B1+sO8w/uzWnWxttCqeUNxp3fWNe6dWW33aeYNDUlZzO9qx+Q1oESumztYd4e+kO+kTXYfz12hROKW/WN7YuHwyKZtOhLPpNWsGxrByrI5WYFoFSSNuXwSNJ6+ncMJIJPaO0KZxSim5tajBjRCwHT2XTa+Jy9p44Z3WkEtEicJVsTeHSqBUeRMLgaI/cEaSUco6uTaowd0wXzl3Ip3dCMpsPZ1kd6Yp0DXYVsnLyGDnD3hRueCwR2hROKXWJdnXDSYqPw99X6Dc5mZS9GVZHuiwtAiWUX1DIfXNWs+fEORKGRNO4qjaFU0oVrUm1iiwa35WqFQIZMm0ly7YetzpSsbQIlIAxhme/2MwvO04woWcbujbWpnBKqcurHR5MUnwcTapVYMzMVD5dc8jqSEXSIlACM5bvZdaKfYz7UyP6xWpTOKVUyVSuEMi8MV2IaRDBgwvWkrh8r9WR/h8tAlfww9ZjPP/lZm5rVZ1Hu7WwOo5SysNUDPJnxohO3NqqOk9/vom3v9/hVv2GtAhcxpYjWfx17hpa1qzEW/3b4+OhvUGUUtYK8vdl4qCO9I6uw5vfb+fZLzZTWOgehcCzzm92oeNnchidmEqFID+mDYv1uFPBlVLuxc/Xh1d6tSUs2J9pv+7hdHYur/Zph7+vtZ/Fdc1WhJy8AsbOTCPjXC5J8XHUCAuyOpJSqhzw8RH+9eeWRIYG8Oq328jKyef9gR0JDvC1LpNlS3ZThYWGh5PWse7gad7q3542tbUpnFLKcUSE+25swoSebVi27ThDp68k83yeZXm0CFzize+389X6IzzWrQW3t65hdRylVDk1qHN93h3QgbUHTtN/8grSz1ywJIcWgYt8vPog7/6wk74xdRj7p0ZWx1FKlXN3tq3F1GGx7D1xjj4JyzmQke3yDFoE7FL2ZvDYRxuIa1SZF+7RpnBKKde4vllVZo/uzKnsPHonLGfb0TMuXb4WAWD/yWzGzUqjTkQwEwd31KZwSimXiq4fwcJxcRgDfScls3r/KZctu0xrOxHZKyIbRGStiKQ6KpQrZZ7PY8SMVRQaw7ThsYSHaFM4pZTrNa9RkY/GdyU8xJ9BU1byy450lyzXER95bzTGtDfGxDhgXi6VZ28Ktz8jm4TB0TSsEmp1JKWUF6sbGUJSfBwNqoQyckYKX60/4vRleu12D2MMT3++iV93nmBCzyi6NKpsdSSllKJaxSDmj+1C+7rh3D9vNXNX7nfq8spaBAzwnYikichYRwRylem/7WXuyv3EX9+YvjF1rY6jlFL/FRbsz8yRnbmhWVWe+GSDU5dV1iJwrTGmI3AHcJ+I/OnSEURkrIikikhqerprtnFdydItx3jhq810a12Df97e3Oo4Sin1/wQH+DJ5aAz9Y537IVUc1c1ORJ4BzhpjXitunJiYGJOaau3+482Hs+idsJzGVSuwYFwX7QmklHJ7IpLmrP2upf4mICKhIlLx9/vAbcBGRwVzhuNZOYxKTKFSkD9Th8VoAVBKeb2yrAWrA5/YT6ryA+YaYxY7JJUTnM8tYPTMVE5n55EUH0f1StoUTimlSl0EjDG7gXYOzOI0tqZwa9lwKJPJQ2K0Ke/hlk4AAA5OSURBVJxSStl5xSGiry/ZxtcbjvLEHS25tVV1q+MopZTbKPdFYFHaQd5ftosBneoy+rqGVsdRSim3Uq6LwMrdJ3n84/V0bVyZ53q00aZwSil1iXJbBPaeOMe42WnUjQxh4qBoyy/hppRS7qhcrhkzs/MYmZgCwPRhsYSF+FucSCml3FO5KwJ5BYWMn5PGgYxsJg2OpoE2hVNKqWKVq7OljDH8+7ONLN91ktf6tKOzNoVTSqnLKlffBKb+sod5qw7wlxsa0zu6jtVxlFLK7ZWbIrBk8zFe/GYL3aNq8I/btCmcUkqVRLkoApsOZ/K3+WtoWzuM1/u0x8dHDwVVSqmS8PgicCwrh1EzUgkP9mfK0BiCA3ytjqSUUh7Do3cMZ+fmMzoxlaycPBbFd6WaNoVTSqmr4rFFoLDQ8PcF69h4OJMpQ2JoVauS1ZGUUsrjeOzmoFe/28biTUd5sntLbtGmcEopVSoeWQQWph5g4o+7GNi5HqOu1aZwSilVWh5XBFbsPsmTn2zg2iZVePbu1toUTimlysCjisCeE+eIn51GvcgQ3h/UUZvCKaVUGXnMWvR0di4jZ6QgwPThsYQFa1M4pZQqK484Oig3v5Dxs1dz6NR55ozpTP3K2hROKaUcwe2LgDGGpz7dSPLuk7zZrx2xDSKtjqSUUuWG228OmvzzbhakHuCvNzWhZwdtCqeUUo7k1kXg201HeWnxVv4cVZOHbmlmdRyllCp33LYIbDyUyYPz19K2Tjiv922nTeGUUsoJ3LIIHM3MYVRiCpGhAUwZGk2QvzaFU0opZ3C7IpCdm8+oxBTO5uQzdVgM1SpqUzillHIWtzo6qLDQ8OD8tWw5ksXUYTG0rKlN4ZRSypnc6pvAy4u38t3mY/zrz624qYU2hVNKKWdzmyIwf9V+Jv28m8Fd6jHimgZWx1FKKa/gFkVg+a4T/OvTjVzXtArP3KVN4ZRSylUsLwK7088yfvZqGlYJ5f1BHfHTpnBKKeUylq5xT52zNYXz9RGmD4+lUpA2hVNKKVeyrAjk5hcSPzuNw6dzmDwkmrqRIVZFUUopr2XJIaLGGJ74ZAMr92TwVr/2xGhTOKWUsoQl3wQSftrNorSDPHBzU+7pUNuKCEoppShjERCRbiKyTUR2ishjJZlm8cYjvLx4K3e1q8VDtzQty+KVUkqVUamLgIj4Au8DdwCtgAEi0upy05zPLeDBBWvpUC+cV3u31UNBlVLKYmX5JtAJ2GmM2W2MyQXmAz0uN8Hek+eoHBrI5CEx2hROKaXcQFmKQG3gwEWPD9qHFavQ2K4PXLViYBkWq5RSylGcvmNYRMaKSKqIpIb55tG8RkVnL1IppVQJlaUIHALqXvS4jn3YHxhjJhtjYowxMXWqVy7D4pRSSjlaWYpACtBURBqKSADQH/jcMbGUUkq5QqlPFjPG5IvI/cC3gC8w3RizyWHJlFJKOV2Zzhg2xnwNfO2gLEoppVxMW3YqpZQX0yKglFJeTIuAUkp5MS0CSinlxbQIKKWUFxNjjOsWJnIG2OayBZZeGJBpdYgS0JyO4wkZQXM6mqfkbG6McUq7BVdfVGabMSbGxcu8aiIy2Rgz1uocV6I5HccTMoLmdDQPypnqrHnr5qCifWF1gBLSnI7jCRlBczqap+R0GldvDkr1hG8CSinlTpy57nT1N4HJLl6eUkqVB05bd7q0CBhjXF4EiroEpohME5F1IrJeRBaJSIVipn3cPt02Ebn9cvN0Uk4RkQkisl1EtojIA8VMO0xEdthvwy4aHi0iG+zzfEcccCm3YnLeJCKrRWSjiCSKSJH7mlyVU0Smi8hxEdl40bBXRWSr/T3/RETCS/r72Yc3FJGV9uEL7E0Ty6SYnM+IyCERWWu/dXfTnO1FZIU9Y6qIdCpmWle953VFZJmIbBaRTSLyN/vwPvbHhSJS7CdpV76epeHUdacxptzesDW22wU0AgKAddguhVnponHeAB4rYtpW9vEDgYb2+fgWN08n5RwBzAR87ONVK2LaSGC3/WeE/X6E/blVQBdAgG+AO5yU8wDQzD7Oc8Aoi3P+CegIbLxo2G2An/3+y8DLJf397M8tBPrb7ycA4x3w91lUzmeAf5TmfXBxzu9+f5+A7sCPFr/nNYGO9vsVge32v82WQHPgRyDGHV5Pd7uV5RrDRX0iLFHVFNd9wi7yEpjGmCz78gQIBoraMdIDmG+MuWCM2QPstM/vqi+rWdqcwHjgOWNMIYAx5ngR094OLDHGZBhjTgFLgG4iUhNbsVthbH/BM4F7nJCzF5BrjNluH2eJfZhlOY0xPwMZlwz7zhiTb3+4Atv1L0ry+/Ww/53cBCyyj5dY1ozF5Swhd8hpgEr2+2HA4SImdeV7fsQYs9p+/wywBahtjNlijLnSYekufT3dbd1ZqiIgxV9k/mXgTWNME+AUMKqIaVthu/ZAa6Ab8IGI+F5mnmVR7CUwReRD4CjQAnjXPuxuEXnuCtNe9WU1y5CzMdDP/nX7GxFpas8ZIyJTS5DzoAty1gD8Lvqq3Rv7xYYszHklI7F9+kREaonI751wi8tYGTh9URFxdsb7xbbZarqIRLhpzgeBV0XkAPAa8Lg9p+XvuYg0ADoAKy8zjiWvpzuuO0v7TaC4T64lqZqu/IRdLGPMCKAWtk8M/ezDPjfG/NtZyyyFQCDH2I4KmAJMBzDGpBpjRlua7H8Mtj/MN0VkFXAGKAC3ywmAiDwJ5ANzAIwxh40xRW53t8hEbMW/PXAEeB3cMud44CFjTF3gIWAaWP+ei23/3kfAg79/4y+Kha+n2607S1sEiqucRVZNCz9hX/YSmMaYAv63SaOk05bospoOynkQ+Ng+7BOg7VXmrFPEcIfnNMYkG2OuM8Z0An7Gtj3WypxFEpHhwJ3AIPtmiJJmPAmEy/92eDstozHmmDGmwL4JcAq2f3C3ywkM439/m0lXmdMp77mI+GMrAHOMMR9fafwS5HTG6+l2606XHB1k4SfsIi+BKSJN4L/7BO4GthYx7edAfxEJFJGGQFNsO7OccVnN4ub5KXCjfZzrKXrl+i1wm4hE2Dcd3AZ8a4w5AmSJSBf77zkU+MwZOUWkGoCIBAKPYtuBZmXO/0dEugH/BO42xmQXM1qRv5+9YCzDtqkLbCtAh2e056x50cOewMYiRrM8J7Z9ANfb798E7ChiHJe95/b5TAO2GGPeuMrJ3eH1LJJL1p2l2ZsMxGF7M39//Lj9doL/HYHxh3EuHfeix9/axy1ynqXJd8nyumNbee4CnsRW+H4DNmD7B5uD/WghbAXhuYumfdI+3TYuOnrh0nmWNWNx8wTCga/sWZOBdvbhMcDUi6Ydie2r4U5gxEXDY+y/4y7gPewnBzoh56vYNqttw/Y1HCtzAvOwbUrJw/apaJR9mQeAtfZbgn3cWsDXV3pvsR05sso+nyQg0AGvZVE5Z9nf7/XYPgjUdNOc1wJp2I6kWQlEW/yeX4tt0+T6i97j7tgK6UHgAnAM+zrGqtcTN1x3lvYX8cN2uFdD/ndIVWv7i3Tx4VR/KWLa1vzx0Mvd2A7RKnKeZf0D1pve9KY3d7m547qzVJuDjG3b1e8Xmd8CLDS2i8w/CvxdRHZi27M+Df64Xcs+3kJgM7AYuM/YtoEWN0+llCoX3HHd6dLeQUoppdyLdhFVSikvpkVAKaW8WGnPGC7qtOf77Y+NiFS5zLQ3iMiXpQ2slFKeqJj15hz7sI32M8T9i5nWaevNqy4ClzlF+TfgFmCfQxMqpZSHu8x6cw621jVR2PqYufxs69J8EyiuKdsaY8zeq5mRiHQSkWQRWSMiy0WkuX34cBH5WEQWi60F7SulyKmUUu6iuPXm18YO2/kIRTU2/ANHrzdLUwQc2d5hK3CdMaYD8G/gxYuea4+tp08UtiZqdYuYXimlPMFl15v2zUBDsB36eSUOXW+6+kLzlwoDEsXWHdMAF28PW2qMyQQQkc1Aff74IiqlVHnxAfCzMeaXEozr0PVmab4JXFUDNRH5VmxXH5paxNPPA8uMMW2Au4Cgi567cNH9AqwvWEopVVrFrjdF5GmgKvD335905XqzNCvW/zZbwvZL9AcGFjeyMeb24p7DVtF+LyDDS5FFKaU8QZHrTREZje3iOzcb+8WjwLXrzav+JlDcKcoi8oCIHMRW4dYXU8HAVnh+r1avAP8RkTXoJ32lVDl1mdYOCUB1INn+yb+4jqFOW2+6vG2E2C4AXdsY80+XLlgppTyUM9ebLv30LSLTgDZAX1cuVymlPJWz15vaQE4ppbyY9g5SSikvVqYiICJ1RWSZiGwWkU327VaISKSILLGftbbEfmk5RKSF/Uy3CyLyj0vmtVdENth3jqSWJZdSSqmSKdPmIPv1UGsaY1aLSEVsl5u7B9thSxnGmJfsjZIijDGP2q9FW98+ziljzGsXzWsvEGOMOVHqQEoppa5Kmb4JGGOOGGNW2++fwXboU22gB5BoHy0R20ofY8xxY0wKtmuVKqWUspjD9gmISAOgA7aLTlc3xhyxP3UU23GwV2KA70QkTUTGOiqXUkqp4jnkEFERqQB8BDxojMkSkf8+Z4wxIlKSbU7XGmMO2TcZLRGRrcaYnx2RTymlVNHK/E3A3v3uI2COMeZj++Bj9v0Fv+83OH6l+RhjDtl/Hgc+wdZ6VSmllBOV9eggAaYBW4wxb1z01OfAMPv9YcBnV5hPqH3HMiISCtwGbCxLNqWUUldW1qODrgV+ATYAvzc/egLbfoGFQD1sVxrra4zJEJEaQCpQyT7+WWxX2amC7dM/2DZRzTXGTCh1MKWUUiWiZwwrpZQX0zOGlVLKi2kRUEopL6ZFQCmlvJgWAaWU8mJaBJRSyotpEVBKKS+mRUAppbyYFgGllPJi/wetTBCRzBeoWAAAAABJRU5ErkJggg==\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -325,18 +261,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
-      ]
+      "text/plain": "<Figure size 432x288 with 1 Axes>",
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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -357,18 +294,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -389,18 +327,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -421,18 +360,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -460,702 +400,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
-      "text/html": [
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-       "  <thead>\n",
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-       "      <th>ABB__PVI_10_0_I_OUTD_x_US_208_y__208V_</th>\n",
-       "      <th>ABB__PVI_10_0_I_OUTD_x_US_480_y_z__480V_</th>\n",
-       "      <th>ABB__PVI_12_0_I_OUTD_x_US_480_y__480V_</th>\n",
-       "      <th>ABB__PVI_3_0_OUTD_S_US__208V_</th>\n",
-       "      <th>...</th>\n",
-       "      <th>Zigor__Sunzet_3_TL_US__240V_</th>\n",
-       "      <th>i_Energy__GT260__240V_</th>\n",
-       "      <th>iPower__SHO_1_1__120V_</th>\n",
-       "      <th>iPower__SHO_2_0__240V_</th>\n",
-       "      <th>iPower__SHO_2_5__240V_</th>\n",
-       "      <th>iPower__SHO_3_0__240V_</th>\n",
-       "      <th>iPower__SHO_3_5__240V_</th>\n",
-       "      <th>iPower__SHO_4_6__208V_</th>\n",
-       "      <th>iPower__SHO_4_8__240V_</th>\n",
-       "      <th>iPower__SHO_5_2__240V_</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Vac</th>\n",
-       "      <td>208</td>\n",
-       "      <td>240</td>\n",
-       "      <td>208</td>\n",
-       "      <td>240</td>\n",
-       "      <td>208</td>\n",
-       "      <td>240</td>\n",
-       "      <td>208</td>\n",
-       "      <td>480</td>\n",
-       "      <td>480</td>\n",
-       "      <td>208</td>\n",
-       "      <td>...</td>\n",
-       "      <td>240</td>\n",
-       "      <td>240</td>\n",
-       "      <td>120</td>\n",
-       "      <td>240</td>\n",
-       "      <td>240</td>\n",
-       "      <td>240</td>\n",
-       "      <td>240</td>\n",
-       "      <td>208</td>\n",
-       "      <td>240</td>\n",
-       "      <td>240</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Pso</th>\n",
-       "      <td>2.08961</td>\n",
-       "      <td>2.24041</td>\n",
-       "      <td>1.84651</td>\n",
-       "      <td>1.95054</td>\n",
-       "      <td>1.76944</td>\n",
-       "      <td>1.84378</td>\n",
-       "      <td>46.8638</td>\n",
-       "      <td>67.7909</td>\n",
-       "      <td>62.5547</td>\n",
-       "      <td>18.1663</td>\n",
-       "      <td>...</td>\n",
-       "      <td>36.0334</td>\n",
-       "      <td>2.5301</td>\n",
-       "      <td>22.0954</td>\n",
-       "      <td>24.4658</td>\n",
-       "      <td>42.7765</td>\n",
-       "      <td>31.682</td>\n",
-       "      <td>64.7742</td>\n",
-       "      <td>54.5701</td>\n",
-       "      <td>85.1457</td>\n",
-       "      <td>62.4867</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Paco</th>\n",
-       "      <td>250</td>\n",
-       "      <td>250</td>\n",
-       "      <td>300</td>\n",
-       "      <td>300</td>\n",
-       "      <td>300</td>\n",
-       "      <td>300</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>12000</td>\n",
-       "      <td>3000</td>\n",
-       "      <td>...</td>\n",
-       "      <td>3180</td>\n",
-       "      <td>230</td>\n",
-       "      <td>1100</td>\n",
-       "      <td>2000</td>\n",
-       "      <td>2500</td>\n",
-       "      <td>3000</td>\n",
-       "      <td>3500</td>\n",
-       "      <td>4600</td>\n",
-       "      <td>4800</td>\n",
-       "      <td>5200</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Pdco</th>\n",
-       "      <td>259.589</td>\n",
-       "      <td>259.492</td>\n",
-       "      <td>311.669</td>\n",
-       "      <td>311.581</td>\n",
-       "      <td>312.421</td>\n",
-       "      <td>312.005</td>\n",
-       "      <td>10488.3</td>\n",
-       "      <td>10296</td>\n",
-       "      <td>12358.8</td>\n",
-       "      <td>3142.3</td>\n",
-       "      <td>...</td>\n",
-       "      <td>3315.65</td>\n",
-       "      <td>245.63</td>\n",
-       "      <td>1194.09</td>\n",
-       "      <td>2161.88</td>\n",
-       "      <td>2632.84</td>\n",
-       "      <td>3205.93</td>\n",
-       "      <td>3641.84</td>\n",
-       "      <td>4797.81</td>\n",
-       "      <td>4968.03</td>\n",
-       "      <td>5382.86</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Vdco</th>\n",
-       "      <td>40</td>\n",
-       "      <td>40</td>\n",
-       "      <td>40</td>\n",
-       "      <td>40</td>\n",
-       "      <td>45</td>\n",
-       "      <td>45</td>\n",
-       "      <td>320</td>\n",
-       "      <td>362</td>\n",
-       "      <td>370</td>\n",
-       "      <td>310</td>\n",
-       "      <td>...</td>\n",
-       "      <td>375</td>\n",
-       "      <td>40</td>\n",
-       "      <td>182</td>\n",
-       "      <td>199</td>\n",
-       "      <td>218</td>\n",
-       "      <td>222.5</td>\n",
-       "      <td>263</td>\n",
-       "      <td>254</td>\n",
-       "      <td>263</td>\n",
-       "      <td>280</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>C0</th>\n",
-       "      <td>-4.1e-05</td>\n",
-       "      <td>-3.9e-05</td>\n",
-       "      <td>-3.3e-05</td>\n",
-       "      <td>-3.4e-05</td>\n",
-       "      <td>-4.5e-05</td>\n",
-       "      <td>-3.5e-05</td>\n",
-       "      <td>-2.7759e-06</td>\n",
-       "      <td>-1.38839e-06</td>\n",
-       "      <td>-1.009e-06</td>\n",
-       "      <td>-8.03949e-06</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-7.98467e-06</td>\n",
-       "      <td>6.2e-05</td>\n",
-       "      <td>-2.1e-05</td>\n",
-       "      <td>-1.3e-05</td>\n",
-       "      <td>-1.4e-05</td>\n",
-       "      <td>-8.21046e-06</td>\n",
-       "      <td>-9.08073e-06</td>\n",
-       "      <td>-5.99928e-06</td>\n",
-       "      <td>-6.16035e-06</td>\n",
-       "      <td>-4.63524e-06</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>C1</th>\n",
-       "      <td>-9.1e-05</td>\n",
-       "      <td>-0.000132</td>\n",
-       "      <td>-0.000192</td>\n",
-       "      <td>-0.000256</td>\n",
-       "      <td>-0.000196</td>\n",
-       "      <td>-0.000227</td>\n",
-       "      <td>-3.6e-05</td>\n",
-       "      <td>-4.9e-05</td>\n",
-       "      <td>-5.6e-05</td>\n",
-       "      <td>-1.1e-05</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-7.5e-05</td>\n",
-       "      <td>-9.8e-05</td>\n",
-       "      <td>5.7e-05</td>\n",
-       "      <td>5.5e-05</td>\n",
-       "      <td>6.1e-05</td>\n",
-       "      <td>3.6e-05</td>\n",
-       "      <td>3.5e-05</td>\n",
-       "      <td>2.8e-05</td>\n",
-       "      <td>3.4e-05</td>\n",
-       "      <td>4.4e-05</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>C2</th>\n",
-       "      <td>0.000494</td>\n",
-       "      <td>0.002418</td>\n",
-       "      <td>0.000907</td>\n",
-       "      <td>0.002453</td>\n",
-       "      <td>0.001959</td>\n",
-       "      <td>-0.000526</td>\n",
-       "      <td>0.000305</td>\n",
-       "      <td>-0.00052</td>\n",
-       "      <td>-0.001437</td>\n",
-       "      <td>0.000999</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.000544</td>\n",
-       "      <td>0.000231</td>\n",
-       "      <td>0.002001</td>\n",
-       "      <td>0.001703</td>\n",
-       "      <td>0.002053</td>\n",
-       "      <td>0.001708</td>\n",
-       "      <td>0.001417</td>\n",
-       "      <td>0.001381</td>\n",
-       "      <td>0.000586</td>\n",
-       "      <td>0.00126</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>C3</th>\n",
-       "      <td>-0.013171</td>\n",
-       "      <td>-0.014926</td>\n",
-       "      <td>-0.031742</td>\n",
-       "      <td>-0.028223</td>\n",
-       "      <td>-0.023725</td>\n",
-       "      <td>-0.041214</td>\n",
-       "      <td>-0.002351</td>\n",
-       "      <td>-0.003855</td>\n",
-       "      <td>-0.007112</td>\n",
-       "      <td>-0.000287</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-0.000338</td>\n",
-       "      <td>0.121032</td>\n",
-       "      <td>0.000623</td>\n",
-       "      <td>0.000315</td>\n",
-       "      <td>0.00153</td>\n",
-       "      <td>0.00086</td>\n",
-       "      <td>0.001218</td>\n",
-       "      <td>0.000889</td>\n",
-       "      <td>0.000195</td>\n",
-       "      <td>0.000367</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Pnt</th>\n",
-       "      <td>0.075</td>\n",
-       "      <td>0.075</td>\n",
-       "      <td>0.09</td>\n",
-       "      <td>0.09</td>\n",
-       "      <td>0.09</td>\n",
-       "      <td>0.09</td>\n",
-       "      <td>0.1</td>\n",
-       "      <td>0.4</td>\n",
-       "      <td>0.4</td>\n",
-       "      <td>0.1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.954</td>\n",
-       "      <td>0.069</td>\n",
-       "      <td>0.33</td>\n",
-       "      <td>0.6</td>\n",
-       "      <td>0.75</td>\n",
-       "      <td>0.9</td>\n",
-       "      <td>1.05</td>\n",
-       "      <td>1.38</td>\n",
-       "      <td>1.44</td>\n",
-       "      <td>1.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Vdcmax</th>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>60</td>\n",
-       "      <td>60</td>\n",
-       "      <td>416</td>\n",
-       "      <td>416</td>\n",
-       "      <td>416</td>\n",
-       "      <td>480</td>\n",
-       "      <td>...</td>\n",
-       "      <td>400</td>\n",
-       "      <td>49</td>\n",
-       "      <td>380</td>\n",
-       "      <td>380</td>\n",
-       "      <td>400</td>\n",
-       "      <td>380</td>\n",
-       "      <td>400</td>\n",
-       "      <td>400</td>\n",
-       "      <td>400</td>\n",
-       "      <td>400</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Idcmax</th>\n",
-       "      <td>6.48972</td>\n",
-       "      <td>6.4873</td>\n",
-       "      <td>7.79173</td>\n",
-       "      <td>7.78952</td>\n",
-       "      <td>6.94269</td>\n",
-       "      <td>6.93344</td>\n",
-       "      <td>32.776</td>\n",
-       "      <td>28.4419</td>\n",
-       "      <td>33.4022</td>\n",
-       "      <td>10.1365</td>\n",
-       "      <td>...</td>\n",
-       "      <td>8.84174</td>\n",
-       "      <td>6.14076</td>\n",
-       "      <td>6.56096</td>\n",
-       "      <td>10.8637</td>\n",
-       "      <td>12.0772</td>\n",
-       "      <td>14.4087</td>\n",
-       "      <td>13.8473</td>\n",
-       "      <td>18.889</td>\n",
-       "      <td>18.8898</td>\n",
-       "      <td>19.2245</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Mppt_low</th>\n",
-       "      <td>30</td>\n",
-       "      <td>30</td>\n",
-       "      <td>30</td>\n",
-       "      <td>30</td>\n",
-       "      <td>30</td>\n",
-       "      <td>30</td>\n",
-       "      <td>220</td>\n",
-       "      <td>220</td>\n",
-       "      <td>250</td>\n",
-       "      <td>100</td>\n",
-       "      <td>...</td>\n",
-       "      <td>100</td>\n",
-       "      <td>30</td>\n",
-       "      <td>100</td>\n",
-       "      <td>100</td>\n",
-       "      <td>100</td>\n",
-       "      <td>100</td>\n",
-       "      <td>100</td>\n",
-       "      <td>100</td>\n",
-       "      <td>100</td>\n",
-       "      <td>240</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Mppt_high</th>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>60</td>\n",
-       "      <td>60</td>\n",
-       "      <td>416</td>\n",
-       "      <td>416</td>\n",
-       "      <td>416</td>\n",
-       "      <td>480</td>\n",
-       "      <td>...</td>\n",
-       "      <td>400</td>\n",
-       "      <td>49</td>\n",
-       "      <td>380</td>\n",
-       "      <td>380</td>\n",
-       "      <td>400</td>\n",
-       "      <td>380</td>\n",
-       "      <td>400</td>\n",
-       "      <td>400</td>\n",
-       "      <td>400</td>\n",
-       "      <td>400</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>CEC_Date</th>\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",
-       "      <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>CEC_Type</th>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>...</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "      <td>Utility Interactive</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>16 rows × 3264 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          ABB__MICRO_0_25_I_OUTD_US_208__208V_  \\\n",
-       "Vac                                        208   \n",
-       "Pso                                    2.08961   \n",
-       "Paco                                       250   \n",
-       "Pdco                                   259.589   \n",
-       "Vdco                                        40   \n",
-       "C0                                    -4.1e-05   \n",
-       "C1                                    -9.1e-05   \n",
-       "C2                                    0.000494   \n",
-       "C3                                   -0.013171   \n",
-       "Pnt                                      0.075   \n",
-       "Vdcmax                                      50   \n",
-       "Idcmax                                 6.48972   \n",
-       "Mppt_low                                    30   \n",
-       "Mppt_high                                   50   \n",
-       "CEC_Date                                   NaN   \n",
-       "CEC_Type                   Utility Interactive   \n",
-       "\n",
-       "          ABB__MICRO_0_25_I_OUTD_US_240__240V_  \\\n",
-       "Vac                                        240   \n",
-       "Pso                                    2.24041   \n",
-       "Paco                                       250   \n",
-       "Pdco                                   259.492   \n",
-       "Vdco                                        40   \n",
-       "C0                                    -3.9e-05   \n",
-       "C1                                   -0.000132   \n",
-       "C2                                    0.002418   \n",
-       "C3                                   -0.014926   \n",
-       "Pnt                                      0.075   \n",
-       "Vdcmax                                      50   \n",
-       "Idcmax                                  6.4873   \n",
-       "Mppt_low                                    30   \n",
-       "Mppt_high                                   50   \n",
-       "CEC_Date                                   NaN   \n",
-       "CEC_Type                   Utility Interactive   \n",
-       "\n",
-       "          ABB__MICRO_0_3_I_OUTD_US_208__208V_  \\\n",
-       "Vac                                       208   \n",
-       "Pso                                   1.84651   \n",
-       "Paco                                      300   \n",
-       "Pdco                                  311.669   \n",
-       "Vdco                                       40   \n",
-       "C0                                   -3.3e-05   \n",
-       "C1                                  -0.000192   \n",
-       "C2                                   0.000907   \n",
-       "C3                                  -0.031742   \n",
-       "Pnt                                      0.09   \n",
-       "Vdcmax                                     50   \n",
-       "Idcmax                                7.79173   \n",
-       "Mppt_low                                   30   \n",
-       "Mppt_high                                  50   \n",
-       "CEC_Date                                  NaN   \n",
-       "CEC_Type                  Utility Interactive   \n",
-       "\n",
-       "          ABB__MICRO_0_3_I_OUTD_US_240__240V_  \\\n",
-       "Vac                                       240   \n",
-       "Pso                                   1.95054   \n",
-       "Paco                                      300   \n",
-       "Pdco                                  311.581   \n",
-       "Vdco                                       40   \n",
-       "C0                                   -3.4e-05   \n",
-       "C1                                  -0.000256   \n",
-       "C2                                   0.002453   \n",
-       "C3                                  -0.028223   \n",
-       "Pnt                                      0.09   \n",
-       "Vdcmax                                     50   \n",
-       "Idcmax                                7.78952   \n",
-       "Mppt_low                                   30   \n",
-       "Mppt_high                                  50   \n",
-       "CEC_Date                                  NaN   \n",
-       "CEC_Type                  Utility Interactive   \n",
-       "\n",
-       "          ABB__MICRO_0_3HV_I_OUTD_US_208__208V_  \\\n",
-       "Vac                                         208   \n",
-       "Pso                                     1.76944   \n",
-       "Paco                                        300   \n",
-       "Pdco                                    312.421   \n",
-       "Vdco                                         45   \n",
-       "C0                                     -4.5e-05   \n",
-       "C1                                    -0.000196   \n",
-       "C2                                     0.001959   \n",
-       "C3                                    -0.023725   \n",
-       "Pnt                                        0.09   \n",
-       "Vdcmax                                       60   \n",
-       "Idcmax                                  6.94269   \n",
-       "Mppt_low                                     30   \n",
-       "Mppt_high                                    60   \n",
-       "CEC_Date                                    NaN   \n",
-       "CEC_Type                    Utility Interactive   \n",
-       "\n",
-       "          ABB__MICRO_0_3HV_I_OUTD_US_240__240V_  \\\n",
-       "Vac                                         240   \n",
-       "Pso                                     1.84378   \n",
-       "Paco                                        300   \n",
-       "Pdco                                    312.005   \n",
-       "Vdco                                         45   \n",
-       "C0                                     -3.5e-05   \n",
-       "C1                                    -0.000227   \n",
-       "C2                                    -0.000526   \n",
-       "C3                                    -0.041214   \n",
-       "Pnt                                        0.09   \n",
-       "Vdcmax                                       60   \n",
-       "Idcmax                                  6.93344   \n",
-       "Mppt_low                                     30   \n",
-       "Mppt_high                                    60   \n",
-       "CEC_Date                                    NaN   \n",
-       "CEC_Type                    Utility Interactive   \n",
-       "\n",
-       "          ABB__PVI_10_0_I_OUTD_x_US_208_y__208V_  \\\n",
-       "Vac                                          208   \n",
-       "Pso                                      46.8638   \n",
-       "Paco                                       10000   \n",
-       "Pdco                                     10488.3   \n",
-       "Vdco                                         320   \n",
-       "C0                                   -2.7759e-06   \n",
-       "C1                                      -3.6e-05   \n",
-       "C2                                      0.000305   \n",
-       "C3                                     -0.002351   \n",
-       "Pnt                                          0.1   \n",
-       "Vdcmax                                       416   \n",
-       "Idcmax                                    32.776   \n",
-       "Mppt_low                                     220   \n",
-       "Mppt_high                                    416   \n",
-       "CEC_Date                                     NaN   \n",
-       "CEC_Type                     Utility Interactive   \n",
-       "\n",
-       "          ABB__PVI_10_0_I_OUTD_x_US_480_y_z__480V_  \\\n",
-       "Vac                                            480   \n",
-       "Pso                                        67.7909   \n",
-       "Paco                                         10000   \n",
-       "Pdco                                         10296   \n",
-       "Vdco                                           362   \n",
-       "C0                                    -1.38839e-06   \n",
-       "C1                                        -4.9e-05   \n",
-       "C2                                        -0.00052   \n",
-       "C3                                       -0.003855   \n",
-       "Pnt                                            0.4   \n",
-       "Vdcmax                                         416   \n",
-       "Idcmax                                     28.4419   \n",
-       "Mppt_low                                       220   \n",
-       "Mppt_high                                      416   \n",
-       "CEC_Date                                       NaN   \n",
-       "CEC_Type                       Utility Interactive   \n",
-       "\n",
-       "          ABB__PVI_12_0_I_OUTD_x_US_480_y__480V_  \\\n",
-       "Vac                                          480   \n",
-       "Pso                                      62.5547   \n",
-       "Paco                                       12000   \n",
-       "Pdco                                     12358.8   \n",
-       "Vdco                                         370   \n",
-       "C0                                    -1.009e-06   \n",
-       "C1                                      -5.6e-05   \n",
-       "C2                                     -0.001437   \n",
-       "C3                                     -0.007112   \n",
-       "Pnt                                          0.4   \n",
-       "Vdcmax                                       416   \n",
-       "Idcmax                                   33.4022   \n",
-       "Mppt_low                                     250   \n",
-       "Mppt_high                                    416   \n",
-       "CEC_Date                                     NaN   \n",
-       "CEC_Type                     Utility Interactive   \n",
-       "\n",
-       "          ABB__PVI_3_0_OUTD_S_US__208V_  ... Zigor__Sunzet_3_TL_US__240V_  \\\n",
-       "Vac                                 208  ...                          240   \n",
-       "Pso                             18.1663  ...                      36.0334   \n",
-       "Paco                               3000  ...                         3180   \n",
-       "Pdco                             3142.3  ...                      3315.65   \n",
-       "Vdco                                310  ...                          375   \n",
-       "C0                         -8.03949e-06  ...                 -7.98467e-06   \n",
-       "C1                             -1.1e-05  ...                     -7.5e-05   \n",
-       "C2                             0.000999  ...                     0.000544   \n",
-       "C3                            -0.000287  ...                    -0.000338   \n",
-       "Pnt                                 0.1  ...                        0.954   \n",
-       "Vdcmax                              480  ...                          400   \n",
-       "Idcmax                          10.1365  ...                      8.84174   \n",
-       "Mppt_low                            100  ...                          100   \n",
-       "Mppt_high                           480  ...                          400   \n",
-       "CEC_Date                            NaN  ...                          NaN   \n",
-       "CEC_Type            Utility Interactive  ...          Utility Interactive   \n",
-       "\n",
-       "          i_Energy__GT260__240V_ iPower__SHO_1_1__120V_  \\\n",
-       "Vac                          240                    120   \n",
-       "Pso                       2.5301                22.0954   \n",
-       "Paco                         230                   1100   \n",
-       "Pdco                      245.63                1194.09   \n",
-       "Vdco                          40                    182   \n",
-       "C0                       6.2e-05               -2.1e-05   \n",
-       "C1                      -9.8e-05                5.7e-05   \n",
-       "C2                      0.000231               0.002001   \n",
-       "C3                      0.121032               0.000623   \n",
-       "Pnt                        0.069                   0.33   \n",
-       "Vdcmax                        49                    380   \n",
-       "Idcmax                   6.14076                6.56096   \n",
-       "Mppt_low                      30                    100   \n",
-       "Mppt_high                     49                    380   \n",
-       "CEC_Date                     NaN                    NaN   \n",
-       "CEC_Type     Utility Interactive    Utility Interactive   \n",
-       "\n",
-       "          iPower__SHO_2_0__240V_ iPower__SHO_2_5__240V_  \\\n",
-       "Vac                          240                    240   \n",
-       "Pso                      24.4658                42.7765   \n",
-       "Paco                        2000                   2500   \n",
-       "Pdco                     2161.88                2632.84   \n",
-       "Vdco                         199                    218   \n",
-       "C0                      -1.3e-05               -1.4e-05   \n",
-       "C1                       5.5e-05                6.1e-05   \n",
-       "C2                      0.001703               0.002053   \n",
-       "C3                      0.000315                0.00153   \n",
-       "Pnt                          0.6                   0.75   \n",
-       "Vdcmax                       380                    400   \n",
-       "Idcmax                   10.8637                12.0772   \n",
-       "Mppt_low                     100                    100   \n",
-       "Mppt_high                    380                    400   \n",
-       "CEC_Date                     NaN                    NaN   \n",
-       "CEC_Type     Utility Interactive    Utility Interactive   \n",
-       "\n",
-       "          iPower__SHO_3_0__240V_ iPower__SHO_3_5__240V_  \\\n",
-       "Vac                          240                    240   \n",
-       "Pso                       31.682                64.7742   \n",
-       "Paco                        3000                   3500   \n",
-       "Pdco                     3205.93                3641.84   \n",
-       "Vdco                       222.5                    263   \n",
-       "C0                  -8.21046e-06           -9.08073e-06   \n",
-       "C1                       3.6e-05                3.5e-05   \n",
-       "C2                      0.001708               0.001417   \n",
-       "C3                       0.00086               0.001218   \n",
-       "Pnt                          0.9                   1.05   \n",
-       "Vdcmax                       380                    400   \n",
-       "Idcmax                   14.4087                13.8473   \n",
-       "Mppt_low                     100                    100   \n",
-       "Mppt_high                    380                    400   \n",
-       "CEC_Date                     NaN                    NaN   \n",
-       "CEC_Type     Utility Interactive    Utility Interactive   \n",
-       "\n",
-       "          iPower__SHO_4_6__208V_ iPower__SHO_4_8__240V_ iPower__SHO_5_2__240V_  \n",
-       "Vac                          208                    240                    240  \n",
-       "Pso                      54.5701                85.1457                62.4867  \n",
-       "Paco                        4600                   4800                   5200  \n",
-       "Pdco                     4797.81                4968.03                5382.86  \n",
-       "Vdco                         254                    263                    280  \n",
-       "C0                  -5.99928e-06           -6.16035e-06           -4.63524e-06  \n",
-       "C1                       2.8e-05                3.4e-05                4.4e-05  \n",
-       "C2                      0.001381               0.000586                0.00126  \n",
-       "C3                      0.000889               0.000195               0.000367  \n",
-       "Pnt                         1.38                   1.44                   1.56  \n",
-       "Vdcmax                       400                    400                    400  \n",
-       "Idcmax                    18.889                18.8898                19.2245  \n",
-       "Mppt_low                     100                    100                    240  \n",
-       "Mppt_high                    400                    400                    400  \n",
-       "CEC_Date                     NaN                    NaN                    NaN  \n",
-       "CEC_Type     Utility Interactive    Utility Interactive    Utility Interactive  \n",
-       "\n",
-       "[16 rows x 3264 columns]"
-      ]
+      "text/plain": "          ABB__MICRO_0_25_I_OUTD_US_208__208V_  \\\nVac                                        208   \nPso                                    2.08961   \nPaco                                       250   \nPdco                                   259.589   \nVdco                                        40   \nC0                                    -4.1e-05   \nC1                                    -9.1e-05   \nC2                                    0.000494   \nC3                                   -0.013171   \nPnt                                      0.075   \nVdcmax                                      50   \nIdcmax                                 6.48972   \nMppt_low                                    30   \nMppt_high                                   50   \nCEC_Date                                   NaN   \nCEC_Type                   Utility Interactive   \n\n          ABB__MICRO_0_25_I_OUTD_US_240__240V_  \\\nVac                                        240   \nPso                                    2.24041   \nPaco                                       250   \nPdco                                   259.492   \nVdco                                        40   \nC0                                    -3.9e-05   \nC1                                   -0.000132   \nC2                                    0.002418   \nC3                                   -0.014926   \nPnt                                      0.075   \nVdcmax                                      50   \nIdcmax                                  6.4873   \nMppt_low                                    30   \nMppt_high                                   50   \nCEC_Date                                   NaN   \nCEC_Type                   Utility Interactive   \n\n          ABB__MICRO_0_3_I_OUTD_US_208__208V_  \\\nVac                                       208   \nPso                                   1.84651   \nPaco                                      300   \nPdco                                  311.669   \nVdco                                       40   \nC0                                   -3.3e-05   \nC1                                  -0.000192   \nC2                                   0.000907   \nC3                                  -0.031742   \nPnt                                      0.09   \nVdcmax                                     50   \nIdcmax                                7.79173   \nMppt_low                                   30   \nMppt_high                                  50   \nCEC_Date                                  NaN   \nCEC_Type                  Utility Interactive   \n\n          ABB__MICRO_0_3_I_OUTD_US_240__240V_  \\\nVac                                       240   \nPso                                   1.95054   \nPaco                                      300   \nPdco                                  311.581   \nVdco                                       40   \nC0                                   -3.4e-05   \nC1                                  -0.000256   \nC2                                   0.002453   \nC3                                  -0.028223   \nPnt                                      0.09   \nVdcmax                                     50   \nIdcmax                                7.78952   \nMppt_low                                   30   \nMppt_high                                  50   \nCEC_Date                                  NaN   \nCEC_Type                  Utility Interactive   \n\n          ABB__MICRO_0_3HV_I_OUTD_US_208__208V_  \\\nVac                                         208   \nPso                                     1.76944   \nPaco                                        300   \nPdco                                    312.421   \nVdco                                         45   \nC0                                     -4.5e-05   \nC1                                    -0.000196   \nC2                                     0.001959   \nC3                                    -0.023725   \nPnt                                        0.09   \nVdcmax                                       60   \nIdcmax                                  6.94269   \nMppt_low                                     30   \nMppt_high                                    60   \nCEC_Date                                    NaN   \nCEC_Type                    Utility Interactive   \n\n          ABB__MICRO_0_3HV_I_OUTD_US_240__240V_  \\\nVac                                         240   \nPso                                     1.84378   \nPaco                                        300   \nPdco                                    312.005   \nVdco                                         45   \nC0                                     -3.5e-05   \nC1                                    -0.000227   \nC2                                    -0.000526   \nC3                                    -0.041214   \nPnt                                        0.09   \nVdcmax                                       60   \nIdcmax                                  6.93344   \nMppt_low                                     30   \nMppt_high                                    60   \nCEC_Date                                    NaN   \nCEC_Type                    Utility Interactive   \n\n          ABB__PVI_10_0_I_OUTD_x_US_208_y__208V_  \\\nVac                                          208   \nPso                                      46.8638   \nPaco                                       10000   \nPdco                                     10488.3   \nVdco                                         320   \nC0                                   -2.7759e-06   \nC1                                      -3.6e-05   \nC2                                      0.000305   \nC3                                     -0.002351   \nPnt                                          0.1   \nVdcmax                                       416   \nIdcmax                                    32.776   \nMppt_low                                     220   \nMppt_high                                    416   \nCEC_Date                                     NaN   \nCEC_Type                     Utility Interactive   \n\n          ABB__PVI_10_0_I_OUTD_x_US_480_y_z__480V_  \\\nVac                                            480   \nPso                                        67.7909   \nPaco                                         10000   \nPdco                                         10296   \nVdco                                           362   \nC0                                    -1.38839e-06   \nC1                                        -4.9e-05   \nC2                                        -0.00052   \nC3                                       -0.003855   \nPnt                                            0.4   \nVdcmax                                         416   \nIdcmax                                     28.4419   \nMppt_low                                       220   \nMppt_high                                      416   \nCEC_Date                                       NaN   \nCEC_Type                       Utility Interactive   \n\n          ABB__PVI_12_0_I_OUTD_x_US_480_y__480V_  \\\nVac                                          480   \nPso                                      62.5547   \nPaco                                       12000   \nPdco                                     12358.8   \nVdco                                         370   \nC0                                    -1.009e-06   \nC1                                      -5.6e-05   \nC2                                     -0.001437   \nC3                                     -0.007112   \nPnt                                          0.4   \nVdcmax                                       416   \nIdcmax                                   33.4022   \nMppt_low                                     250   \nMppt_high                                    416   \nCEC_Date                                     NaN   \nCEC_Type                     Utility Interactive   \n\n          ABB__PVI_3_0_OUTD_S_US__208V_  ... Zigor__Sunzet_3_TL_US__240V_  \\\nVac                                 208  ...                          240   \nPso                             18.1663  ...                      36.0334   \nPaco                               3000  ...                         3180   \nPdco                             3142.3  ...                      3315.65   \nVdco                                310  ...                          375   \nC0                         -8.03949e-06  ...                 -7.98467e-06   \nC1                             -1.1e-05  ...                     -7.5e-05   \nC2                             0.000999  ...                     0.000544   \nC3                            -0.000287  ...                    -0.000338   \nPnt                                 0.1  ...                        0.954   \nVdcmax                              480  ...                          400   \nIdcmax                          10.1365  ...                      8.84174   \nMppt_low                            100  ...                          100   \nMppt_high                           480  ...                          400   \nCEC_Date                            NaN  ...                          NaN   \nCEC_Type            Utility Interactive  ...          Utility Interactive   \n\n          i_Energy__GT260__240V_ iPower__SHO_1_1__120V_  \\\nVac                          240                    120   \nPso                       2.5301                22.0954   \nPaco                         230                   1100   \nPdco                      245.63                1194.09   \nVdco                          40                    182   \nC0                       6.2e-05               -2.1e-05   \nC1                      -9.8e-05                5.7e-05   \nC2                      0.000231               0.002001   \nC3                      0.121032               0.000623   \nPnt                        0.069                   0.33   \nVdcmax                        49                    380   \nIdcmax                   6.14076                6.56096   \nMppt_low                      30                    100   \nMppt_high                     49                    380   \nCEC_Date                     NaN                    NaN   \nCEC_Type     Utility Interactive    Utility Interactive   \n\n          iPower__SHO_2_0__240V_ iPower__SHO_2_5__240V_  \\\nVac                          240                    240   \nPso                      24.4658                42.7765   \nPaco                        2000                   2500   \nPdco                     2161.88                2632.84   \nVdco                         199                    218   \nC0                      -1.3e-05               -1.4e-05   \nC1                       5.5e-05                6.1e-05   \nC2                      0.001703               0.002053   \nC3                      0.000315                0.00153   \nPnt                          0.6                   0.75   \nVdcmax                       380                    400   \nIdcmax                   10.8637                12.0772   \nMppt_low                     100                    100   \nMppt_high                    380                    400   \nCEC_Date                     NaN                    NaN   \nCEC_Type     Utility Interactive    Utility Interactive   \n\n          iPower__SHO_3_0__240V_ iPower__SHO_3_5__240V_  \\\nVac                          240                    240   \nPso                       31.682                64.7742   \nPaco                        3000                   3500   \nPdco                     3205.93                3641.84   \nVdco                       222.5                    263   \nC0                  -8.21046e-06           -9.08073e-06   \nC1                       3.6e-05                3.5e-05   \nC2                      0.001708               0.001417   \nC3                       0.00086               0.001218   \nPnt                          0.9                   1.05   \nVdcmax                       380                    400   \nIdcmax                   14.4087                13.8473   \nMppt_low                     100                    100   \nMppt_high                    380                    400   \nCEC_Date                     NaN                    NaN   \nCEC_Type     Utility Interactive    Utility Interactive   \n\n          iPower__SHO_4_6__208V_ iPower__SHO_4_8__240V_ iPower__SHO_5_2__240V_  \nVac                          208                    240                    240  \nPso                      54.5701                85.1457                62.4867  \nPaco                        4600                   4800                   5200  \nPdco                     4797.81                4968.03                5382.86  \nVdco                         254                    263                    280  \nC0                  -5.99928e-06           -6.16035e-06           -4.63524e-06  \nC1                       2.8e-05                3.4e-05                4.4e-05  \nC2                      0.001381               0.000586                0.00126  \nC3                      0.000889               0.000195               0.000367  \nPnt                         1.38                   1.44                   1.56  \nVdcmax                       400                    400                    400  \nIdcmax                    18.889                18.8898                19.2245  \nMppt_low                     100                    100                    240  \nMppt_high                    400                    400                    400  \nCEC_Date                     NaN                    NaN                    NaN  \nCEC_Type     Utility Interactive    Utility Interactive    Utility Interactive  \n\n[16 rows x 3264 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>ABB__MICRO_0_25_I_OUTD_US_208__208V_</th>\n      <th>ABB__MICRO_0_25_I_OUTD_US_240__240V_</th>\n      <th>ABB__MICRO_0_3_I_OUTD_US_208__208V_</th>\n      <th>ABB__MICRO_0_3_I_OUTD_US_240__240V_</th>\n      <th>ABB__MICRO_0_3HV_I_OUTD_US_208__208V_</th>\n      <th>ABB__MICRO_0_3HV_I_OUTD_US_240__240V_</th>\n      <th>ABB__PVI_10_0_I_OUTD_x_US_208_y__208V_</th>\n      <th>ABB__PVI_10_0_I_OUTD_x_US_480_y_z__480V_</th>\n      <th>ABB__PVI_12_0_I_OUTD_x_US_480_y__480V_</th>\n      <th>ABB__PVI_3_0_OUTD_S_US__208V_</th>\n      <th>...</th>\n      <th>Zigor__Sunzet_3_TL_US__240V_</th>\n      <th>i_Energy__GT260__240V_</th>\n      <th>iPower__SHO_1_1__120V_</th>\n      <th>iPower__SHO_2_0__240V_</th>\n      <th>iPower__SHO_2_5__240V_</th>\n      <th>iPower__SHO_3_0__240V_</th>\n      <th>iPower__SHO_3_5__240V_</th>\n      <th>iPower__SHO_4_6__208V_</th>\n      <th>iPower__SHO_4_8__240V_</th>\n      <th>iPower__SHO_5_2__240V_</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Vac</th>\n      <td>208</td>\n      <td>240</td>\n      <td>208</td>\n      <td>240</td>\n      <td>208</td>\n      <td>240</td>\n      <td>208</td>\n      <td>480</td>\n      <td>480</td>\n      <td>208</td>\n      <td>...</td>\n      <td>240</td>\n      <td>240</td>\n      <td>120</td>\n      <td>240</td>\n      <td>240</td>\n      <td>240</td>\n      <td>240</td>\n      <td>208</td>\n      <td>240</td>\n      <td>240</td>\n    </tr>\n    <tr>\n      <th>Pso</th>\n      <td>2.08961</td>\n      <td>2.24041</td>\n      <td>1.84651</td>\n      <td>1.95054</td>\n      <td>1.76944</td>\n      <td>1.84378</td>\n      <td>46.8638</td>\n      <td>67.7909</td>\n      <td>62.5547</td>\n      <td>18.1663</td>\n      <td>...</td>\n      <td>36.0334</td>\n      <td>2.5301</td>\n      <td>22.0954</td>\n      <td>24.4658</td>\n      <td>42.7765</td>\n      <td>31.682</td>\n      <td>64.7742</td>\n      <td>54.5701</td>\n      <td>85.1457</td>\n      <td>62.4867</td>\n    </tr>\n    <tr>\n      <th>Paco</th>\n      <td>250</td>\n      <td>250</td>\n      <td>300</td>\n      <td>300</td>\n      <td>300</td>\n      <td>300</td>\n      <td>10000</td>\n      <td>10000</td>\n      <td>12000</td>\n      <td>3000</td>\n      <td>...</td>\n      <td>3180</td>\n      <td>230</td>\n      <td>1100</td>\n      <td>2000</td>\n      <td>2500</td>\n      <td>3000</td>\n      <td>3500</td>\n      <td>4600</td>\n      <td>4800</td>\n      <td>5200</td>\n    </tr>\n    <tr>\n      <th>Pdco</th>\n      <td>259.589</td>\n      <td>259.492</td>\n      <td>311.669</td>\n      <td>311.581</td>\n      <td>312.421</td>\n      <td>312.005</td>\n      <td>10488.3</td>\n      <td>10296</td>\n      <td>12358.8</td>\n      <td>3142.3</td>\n      <td>...</td>\n      <td>3315.65</td>\n      <td>245.63</td>\n      <td>1194.09</td>\n      <td>2161.88</td>\n      <td>2632.84</td>\n      <td>3205.93</td>\n      <td>3641.84</td>\n      <td>4797.81</td>\n      <td>4968.03</td>\n      <td>5382.86</td>\n    </tr>\n    <tr>\n      <th>Vdco</th>\n      <td>40</td>\n      <td>40</td>\n      <td>40</td>\n      <td>40</td>\n      <td>45</td>\n      <td>45</td>\n      <td>320</td>\n      <td>362</td>\n      <td>370</td>\n      <td>310</td>\n      <td>...</td>\n      <td>375</td>\n      <td>40</td>\n      <td>182</td>\n      <td>199</td>\n      <td>218</td>\n      <td>222.5</td>\n      <td>263</td>\n      <td>254</td>\n      <td>263</td>\n      <td>280</td>\n    </tr>\n    <tr>\n      <th>C0</th>\n      <td>-4.1e-05</td>\n      <td>-3.9e-05</td>\n      <td>-3.3e-05</td>\n      <td>-3.4e-05</td>\n      <td>-4.5e-05</td>\n      <td>-3.5e-05</td>\n      <td>-2.7759e-06</td>\n      <td>-1.38839e-06</td>\n      <td>-1.009e-06</td>\n      <td>-8.03949e-06</td>\n      <td>...</td>\n      <td>-7.98467e-06</td>\n      <td>6.2e-05</td>\n      <td>-2.1e-05</td>\n      <td>-1.3e-05</td>\n      <td>-1.4e-05</td>\n      <td>-8.21046e-06</td>\n      <td>-9.08073e-06</td>\n      <td>-5.99928e-06</td>\n      <td>-6.16035e-06</td>\n      <td>-4.63524e-06</td>\n    </tr>\n    <tr>\n      <th>C1</th>\n      <td>-9.1e-05</td>\n      <td>-0.000132</td>\n      <td>-0.000192</td>\n      <td>-0.000256</td>\n      <td>-0.000196</td>\n      <td>-0.000227</td>\n      <td>-3.6e-05</td>\n      <td>-4.9e-05</td>\n      <td>-5.6e-05</td>\n      <td>-1.1e-05</td>\n      <td>...</td>\n      <td>-7.5e-05</td>\n      <td>-9.8e-05</td>\n      <td>5.7e-05</td>\n      <td>5.5e-05</td>\n      <td>6.1e-05</td>\n      <td>3.6e-05</td>\n      <td>3.5e-05</td>\n      <td>2.8e-05</td>\n      <td>3.4e-05</td>\n      <td>4.4e-05</td>\n    </tr>\n    <tr>\n      <th>C2</th>\n      <td>0.000494</td>\n      <td>0.002418</td>\n      <td>0.000907</td>\n      <td>0.002453</td>\n      <td>0.001959</td>\n      <td>-0.000526</td>\n      <td>0.000305</td>\n      <td>-0.00052</td>\n      <td>-0.001437</td>\n      <td>0.000999</td>\n      <td>...</td>\n      <td>0.000544</td>\n      <td>0.000231</td>\n      <td>0.002001</td>\n      <td>0.001703</td>\n      <td>0.002053</td>\n      <td>0.001708</td>\n      <td>0.001417</td>\n      <td>0.001381</td>\n      <td>0.000586</td>\n      <td>0.00126</td>\n    </tr>\n    <tr>\n      <th>C3</th>\n      <td>-0.013171</td>\n      <td>-0.014926</td>\n      <td>-0.031742</td>\n      <td>-0.028223</td>\n      <td>-0.023725</td>\n      <td>-0.041214</td>\n      <td>-0.002351</td>\n      <td>-0.003855</td>\n      <td>-0.007112</td>\n      <td>-0.000287</td>\n      <td>...</td>\n      <td>-0.000338</td>\n      <td>0.121032</td>\n      <td>0.000623</td>\n      <td>0.000315</td>\n      <td>0.00153</td>\n      <td>0.00086</td>\n      <td>0.001218</td>\n      <td>0.000889</td>\n      <td>0.000195</td>\n      <td>0.000367</td>\n    </tr>\n    <tr>\n      <th>Pnt</th>\n      <td>0.075</td>\n      <td>0.075</td>\n      <td>0.09</td>\n      <td>0.09</td>\n      <td>0.09</td>\n      <td>0.09</td>\n      <td>0.1</td>\n      <td>0.4</td>\n      <td>0.4</td>\n      <td>0.1</td>\n      <td>...</td>\n      <td>0.954</td>\n      <td>0.069</td>\n      <td>0.33</td>\n      <td>0.6</td>\n      <td>0.75</td>\n      <td>0.9</td>\n      <td>1.05</td>\n      <td>1.38</td>\n      <td>1.44</td>\n      <td>1.56</td>\n    </tr>\n    <tr>\n      <th>Vdcmax</th>\n      <td>50</td>\n      <td>50</td>\n      <td>50</td>\n      <td>50</td>\n      <td>60</td>\n      <td>60</td>\n      <td>416</td>\n      <td>416</td>\n      <td>416</td>\n      <td>480</td>\n      <td>...</td>\n      <td>400</td>\n      <td>49</td>\n      <td>380</td>\n      <td>380</td>\n      <td>400</td>\n      <td>380</td>\n      <td>400</td>\n      <td>400</td>\n      <td>400</td>\n      <td>400</td>\n    </tr>\n    <tr>\n      <th>Idcmax</th>\n      <td>6.48972</td>\n      <td>6.4873</td>\n      <td>7.79173</td>\n      <td>7.78952</td>\n      <td>6.94269</td>\n      <td>6.93344</td>\n      <td>32.776</td>\n      <td>28.4419</td>\n      <td>33.4022</td>\n      <td>10.1365</td>\n      <td>...</td>\n      <td>8.84174</td>\n      <td>6.14076</td>\n      <td>6.56096</td>\n      <td>10.8637</td>\n      <td>12.0772</td>\n      <td>14.4087</td>\n      <td>13.8473</td>\n      <td>18.889</td>\n      <td>18.8898</td>\n      <td>19.2245</td>\n    </tr>\n    <tr>\n      <th>Mppt_low</th>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>220</td>\n      <td>220</td>\n      <td>250</td>\n      <td>100</td>\n      <td>...</td>\n      <td>100</td>\n      <td>30</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>240</td>\n    </tr>\n    <tr>\n      <th>Mppt_high</th>\n      <td>50</td>\n      <td>50</td>\n      <td>50</td>\n      <td>50</td>\n      <td>60</td>\n      <td>60</td>\n      <td>416</td>\n      <td>416</td>\n      <td>416</td>\n      <td>480</td>\n      <td>...</td>\n      <td>400</td>\n      <td>49</td>\n      <td>380</td>\n      <td>380</td>\n      <td>400</td>\n      <td>380</td>\n      <td>400</td>\n      <td>400</td>\n      <td>400</td>\n      <td>400</td>\n    </tr>\n    <tr>\n      <th>CEC_Date</th>\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      <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>CEC_Type</th>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>...</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n      <td>Utility Interactive</td>\n    </tr>\n  </tbody>\n</table>\n<p>16 rows × 3264 columns</p>\n</div>"
      },
-     "execution_count": 15,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 13
     }
    ],
    "source": [
@@ -1165,18 +420,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -1216,909 +472,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
-      "text/html": [
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-       "\n",
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>A10Green_Technology_A10J_S72_175</th>\n",
-       "      <th>A10Green_Technology_A10J_S72_180</th>\n",
-       "      <th>A10Green_Technology_A10J_S72_185</th>\n",
-       "      <th>A10Green_Technology_A10J_M60_220</th>\n",
-       "      <th>A10Green_Technology_A10J_M60_225</th>\n",
-       "      <th>A10Green_Technology_A10J_M60_230</th>\n",
-       "      <th>A10Green_Technology_A10J_M60_235</th>\n",
-       "      <th>A10Green_Technology_A10J_M60_240</th>\n",
-       "      <th>A2Peak_Power_POWER_ON_P220_6x10</th>\n",
-       "      <th>Aavid_Solar_ASMS_165P</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>Technology</th>\n",
-       "      <td>Mono-c-Si</td>\n",
-       "      <td>Mono-c-Si</td>\n",
-       "      <td>Mono-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>...</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",
-       "    <tr>\n",
-       "      <th>Bifacial</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>STC</th>\n",
-       "      <td>175.091</td>\n",
-       "      <td>179.928</td>\n",
-       "      <td>184.702</td>\n",
-       "      <td>219.876</td>\n",
-       "      <td>224.986</td>\n",
-       "      <td>230.129</td>\n",
-       "      <td>235.008</td>\n",
-       "      <td>240.538</td>\n",
-       "      <td>219.978</td>\n",
-       "      <td>164.85</td>\n",
-       "      <td>...</td>\n",
-       "      <td>275.014</td>\n",
-       "      <td>280.329</td>\n",
-       "      <td>285.326</td>\n",
-       "      <td>290.036</td>\n",
-       "      <td>295.066</td>\n",
-       "      <td>300.003</td>\n",
-       "      <td>305.056</td>\n",
-       "      <td>310.144</td>\n",
-       "      <td>315.094</td>\n",
-       "      <td>320.42</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>PTC</th>\n",
-       "      <td>151.2</td>\n",
-       "      <td>155.7</td>\n",
-       "      <td>160.2</td>\n",
-       "      <td>189.1</td>\n",
-       "      <td>193.5</td>\n",
-       "      <td>204.1</td>\n",
-       "      <td>208.7</td>\n",
-       "      <td>213.3</td>\n",
-       "      <td>195</td>\n",
-       "      <td>146.3</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>A_c</th>\n",
-       "      <td>1.3</td>\n",
-       "      <td>1.3</td>\n",
-       "      <td>1.3</td>\n",
-       "      <td>1.624</td>\n",
-       "      <td>1.624</td>\n",
-       "      <td>1.624</td>\n",
-       "      <td>1.624</td>\n",
-       "      <td>1.624</td>\n",
-       "      <td>1.633</td>\n",
-       "      <td>1.301</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>Length</th>\n",
-       "      <td>1.576</td>\n",
-       "      <td>1.576</td>\n",
-       "      <td>1.576</td>\n",
-       "      <td>1.632</td>\n",
-       "      <td>1.632</td>\n",
-       "      <td>1.632</td>\n",
-       "      <td>1.632</td>\n",
-       "      <td>1.632</td>\n",
-       "      <td>1.633</td>\n",
-       "      <td>1.575</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1.95</td>\n",
-       "      <td>1.95</td>\n",
-       "      <td>1.95</td>\n",
-       "      <td>1.95</td>\n",
-       "      <td>1.95</td>\n",
-       "      <td>1.95</td>\n",
-       "      <td>1.95</td>\n",
-       "      <td>1.95</td>\n",
-       "      <td>1.95</td>\n",
-       "      <td>1.95</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Width</th>\n",
-       "      <td>0.825</td>\n",
-       "      <td>0.825</td>\n",
-       "      <td>0.825</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>1</td>\n",
-       "      <td>0.826</td>\n",
-       "      <td>...</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>0.99</td>\n",
-       "      <td>0.99</td>\n",
-       "      <td>0.99</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>N_s</th>\n",
-       "      <td>72</td>\n",
-       "      <td>72</td>\n",
-       "      <td>72</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>72</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>5.17</td>\n",
-       "      <td>5.31</td>\n",
-       "      <td>5.43</td>\n",
-       "      <td>7.95</td>\n",
-       "      <td>8.04</td>\n",
-       "      <td>8.1</td>\n",
-       "      <td>8.23</td>\n",
-       "      <td>8.32</td>\n",
-       "      <td>7.98</td>\n",
-       "      <td>5.25</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>43.99</td>\n",
-       "      <td>44.06</td>\n",
-       "      <td>44.14</td>\n",
-       "      <td>36.06</td>\n",
-       "      <td>36.24</td>\n",
-       "      <td>36.42</td>\n",
-       "      <td>36.72</td>\n",
-       "      <td>36.84</td>\n",
-       "      <td>36.72</td>\n",
-       "      <td>43.5</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>4.78</td>\n",
-       "      <td>4.9</td>\n",
-       "      <td>5.03</td>\n",
-       "      <td>7.3</td>\n",
-       "      <td>7.44</td>\n",
-       "      <td>7.58</td>\n",
-       "      <td>7.68</td>\n",
-       "      <td>7.83</td>\n",
-       "      <td>7.26</td>\n",
-       "      <td>4.71</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>36.63</td>\n",
-       "      <td>36.72</td>\n",
-       "      <td>36.72</td>\n",
-       "      <td>30.12</td>\n",
-       "      <td>30.24</td>\n",
-       "      <td>30.36</td>\n",
-       "      <td>30.6</td>\n",
-       "      <td>30.72</td>\n",
-       "      <td>30.3</td>\n",
-       "      <td>35</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>0.002146</td>\n",
-       "      <td>0.002204</td>\n",
-       "      <td>0.002253</td>\n",
-       "      <td>0.004357</td>\n",
-       "      <td>0.004406</td>\n",
-       "      <td>0.007857</td>\n",
-       "      <td>0.007983</td>\n",
-       "      <td>0.00807</td>\n",
-       "      <td>0.00399</td>\n",
-       "      <td>0.001575</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>-0.159068</td>\n",
-       "      <td>-0.159321</td>\n",
-       "      <td>-0.15961</td>\n",
-       "      <td>-0.130681</td>\n",
-       "      <td>-0.131334</td>\n",
-       "      <td>-0.130748</td>\n",
-       "      <td>-0.131825</td>\n",
-       "      <td>-0.132256</td>\n",
-       "      <td>-0.12852</td>\n",
-       "      <td>-0.170955</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-0.144275</td>\n",
-       "      <td>-0.144755</td>\n",
-       "      <td>-0.145331</td>\n",
-       "      <td>-0.145842</td>\n",
-       "      <td>-0.146354</td>\n",
-       "      <td>-0.147026</td>\n",
-       "      <td>-0.147538</td>\n",
-       "      <td>-0.14805</td>\n",
-       "      <td>-0.148562</td>\n",
-       "      <td>-0.149073</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>T_NOCT</th>\n",
-       "      <td>49.9</td>\n",
-       "      <td>49.9</td>\n",
-       "      <td>49.9</td>\n",
-       "      <td>50.2</td>\n",
-       "      <td>50.2</td>\n",
-       "      <td>46.4</td>\n",
-       "      <td>46.4</td>\n",
-       "      <td>46.4</td>\n",
-       "      <td>47.9</td>\n",
-       "      <td>45</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_ref</th>\n",
-       "      <td>1.9817</td>\n",
-       "      <td>1.98841</td>\n",
-       "      <td>1.98482</td>\n",
-       "      <td>1.67309</td>\n",
-       "      <td>1.67178</td>\n",
-       "      <td>1.68048</td>\n",
-       "      <td>1.69698</td>\n",
-       "      <td>1.69423</td>\n",
-       "      <td>1.59703</td>\n",
-       "      <td>1.96463</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1.81027</td>\n",
-       "      <td>1.81485</td>\n",
-       "      <td>1.8201</td>\n",
-       "      <td>1.82278</td>\n",
-       "      <td>1.83125</td>\n",
-       "      <td>1.84441</td>\n",
-       "      <td>1.84915</td>\n",
-       "      <td>1.8574</td>\n",
-       "      <td>1.86502</td>\n",
-       "      <td>1.87378</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>I_L_ref</th>\n",
-       "      <td>5.1757</td>\n",
-       "      <td>5.31615</td>\n",
-       "      <td>5.43568</td>\n",
-       "      <td>7.95906</td>\n",
-       "      <td>8.04721</td>\n",
-       "      <td>8.10361</td>\n",
-       "      <td>8.23464</td>\n",
-       "      <td>8.32177</td>\n",
-       "      <td>8.00023</td>\n",
-       "      <td>5.27415</td>\n",
-       "      <td>...</td>\n",
-       "      <td>8.32377</td>\n",
-       "      <td>8.41015</td>\n",
-       "      <td>8.4867</td>\n",
-       "      <td>8.55196</td>\n",
-       "      <td>8.64154</td>\n",
-       "      <td>8.80531</td>\n",
-       "      <td>8.87402</td>\n",
-       "      <td>8.9948</td>\n",
-       "      <td>9.10661</td>\n",
-       "      <td>9.21845</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>I_o_ref</th>\n",
-       "      <td>1.14916e-09</td>\n",
-       "      <td>1.22524e-09</td>\n",
-       "      <td>1.16164e-09</td>\n",
-       "      <td>3.34415e-09</td>\n",
-       "      <td>3.01424e-09</td>\n",
-       "      <td>3.09549e-09</td>\n",
-       "      <td>3.24284e-09</td>\n",
-       "      <td>2.97878e-09</td>\n",
-       "      <td>7.85133e-10</td>\n",
-       "      <td>1.19571e-09</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1.24062e-10</td>\n",
-       "      <td>1.2341e-10</td>\n",
-       "      <td>1.21696e-10</td>\n",
-       "      <td>1.17172e-10</td>\n",
-       "      <td>1.21851e-10</td>\n",
-       "      <td>1.31413e-10</td>\n",
-       "      <td>1.30106e-10</td>\n",
-       "      <td>1.34888e-10</td>\n",
-       "      <td>1.38664e-10</td>\n",
-       "      <td>1.44659e-10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>R_s</th>\n",
-       "      <td>0.316688</td>\n",
-       "      <td>0.299919</td>\n",
-       "      <td>0.311962</td>\n",
-       "      <td>0.140393</td>\n",
-       "      <td>0.14737</td>\n",
-       "      <td>0.152058</td>\n",
-       "      <td>0.151504</td>\n",
-       "      <td>0.150077</td>\n",
-       "      <td>0.229644</td>\n",
-       "      <td>0.595855</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.566493</td>\n",
-       "      <td>0.552584</td>\n",
-       "      <td>0.543536</td>\n",
-       "      <td>0.538499</td>\n",
-       "      <td>0.521134</td>\n",
-       "      <td>0.515735</td>\n",
-       "      <td>0.506611</td>\n",
-       "      <td>0.495904</td>\n",
-       "      <td>0.488376</td>\n",
-       "      <td>0.475581</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>R_sh_ref</th>\n",
-       "      <td>287.102</td>\n",
-       "      <td>259.048</td>\n",
-       "      <td>298.424</td>\n",
-       "      <td>123.168</td>\n",
-       "      <td>164.419</td>\n",
-       "      <td>340.983</td>\n",
-       "      <td>268.701</td>\n",
-       "      <td>706.27</td>\n",
-       "      <td>90.5774</td>\n",
-       "      <td>129.523</td>\n",
-       "      <td>...</td>\n",
-       "      <td>341.758</td>\n",
-       "      <td>457.468</td>\n",
-       "      <td>687.561</td>\n",
-       "      <td>2348.68</td>\n",
-       "      <td>2917.76</td>\n",
-       "      <td>552.455</td>\n",
-       "      <td>1119.07</td>\n",
-       "      <td>767.958</td>\n",
-       "      <td>682.292</td>\n",
-       "      <td>604.221</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Adjust</th>\n",
-       "      <td>16.0571</td>\n",
-       "      <td>16.419</td>\n",
-       "      <td>15.6882</td>\n",
-       "      <td>21.8752</td>\n",
-       "      <td>20.6984</td>\n",
-       "      <td>21.5544</td>\n",
-       "      <td>21.8719</td>\n",
-       "      <td>20.881</td>\n",
-       "      <td>12.2172</td>\n",
-       "      <td>7.16388</td>\n",
-       "      <td>...</td>\n",
-       "      <td>5.42178</td>\n",
-       "      <td>5.27464</td>\n",
-       "      <td>5.06509</td>\n",
-       "      <td>4.66051</td>\n",
-       "      <td>4.9013</td>\n",
-       "      <td>5.41555</td>\n",
-       "      <td>5.24155</td>\n",
-       "      <td>5.44634</td>\n",
-       "      <td>5.57874</td>\n",
-       "      <td>5.83833</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>gamma_r</th>\n",
-       "      <td>-0.5072</td>\n",
-       "      <td>-0.5072</td>\n",
-       "      <td>-0.5072</td>\n",
-       "      <td>-0.5196</td>\n",
-       "      <td>-0.5196</td>\n",
-       "      <td>-0.493</td>\n",
-       "      <td>-0.493</td>\n",
-       "      <td>-0.493</td>\n",
-       "      <td>-0.46</td>\n",
-       "      <td>-0.519</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-0.4308</td>\n",
-       "      <td>-0.4308</td>\n",
-       "      <td>-0.4308</td>\n",
-       "      <td>-0.4308</td>\n",
-       "      <td>-0.4308</td>\n",
-       "      <td>-0.4308</td>\n",
-       "      <td>-0.4308</td>\n",
-       "      <td>-0.4308</td>\n",
-       "      <td>-0.4308</td>\n",
-       "      <td>-0.4308</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>BIPV</th>\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",
-       "      <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>Version</th>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>...</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "      <td>SAM 2018.11.11 r2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Date</th>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "      <td>1/3/2019</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>25 rows × 21535 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           A10Green_Technology_A10J_S72_175 A10Green_Technology_A10J_S72_180  \\\n",
-       "Technology                        Mono-c-Si                        Mono-c-Si   \n",
-       "Bifacial                                  0                                0   \n",
-       "STC                                 175.091                          179.928   \n",
-       "PTC                                   151.2                            155.7   \n",
-       "A_c                                     1.3                              1.3   \n",
-       "Length                                1.576                            1.576   \n",
-       "Width                                 0.825                            0.825   \n",
-       "N_s                                      72                               72   \n",
-       "I_sc_ref                               5.17                             5.31   \n",
-       "V_oc_ref                              43.99                            44.06   \n",
-       "I_mp_ref                               4.78                              4.9   \n",
-       "V_mp_ref                              36.63                            36.72   \n",
-       "alpha_sc                           0.002146                         0.002204   \n",
-       "beta_oc                           -0.159068                        -0.159321   \n",
-       "T_NOCT                                 49.9                             49.9   \n",
-       "a_ref                                1.9817                          1.98841   \n",
-       "I_L_ref                              5.1757                          5.31615   \n",
-       "I_o_ref                         1.14916e-09                      1.22524e-09   \n",
-       "R_s                                0.316688                         0.299919   \n",
-       "R_sh_ref                            287.102                          259.048   \n",
-       "Adjust                              16.0571                           16.419   \n",
-       "gamma_r                             -0.5072                          -0.5072   \n",
-       "BIPV                                      N                                N   \n",
-       "Version                   SAM 2018.11.11 r2                SAM 2018.11.11 r2   \n",
-       "Date                               1/3/2019                         1/3/2019   \n",
-       "\n",
-       "           A10Green_Technology_A10J_S72_185 A10Green_Technology_A10J_M60_220  \\\n",
-       "Technology                        Mono-c-Si                       Multi-c-Si   \n",
-       "Bifacial                                  0                                0   \n",
-       "STC                                 184.702                          219.876   \n",
-       "PTC                                   160.2                            189.1   \n",
-       "A_c                                     1.3                            1.624   \n",
-       "Length                                1.576                            1.632   \n",
-       "Width                                 0.825                            0.995   \n",
-       "N_s                                      72                               60   \n",
-       "I_sc_ref                               5.43                             7.95   \n",
-       "V_oc_ref                              44.14                            36.06   \n",
-       "I_mp_ref                               5.03                              7.3   \n",
-       "V_mp_ref                              36.72                            30.12   \n",
-       "alpha_sc                           0.002253                         0.004357   \n",
-       "beta_oc                            -0.15961                        -0.130681   \n",
-       "T_NOCT                                 49.9                             50.2   \n",
-       "a_ref                               1.98482                          1.67309   \n",
-       "I_L_ref                             5.43568                          7.95906   \n",
-       "I_o_ref                         1.16164e-09                      3.34415e-09   \n",
-       "R_s                                0.311962                         0.140393   \n",
-       "R_sh_ref                            298.424                          123.168   \n",
-       "Adjust                              15.6882                          21.8752   \n",
-       "gamma_r                             -0.5072                          -0.5196   \n",
-       "BIPV                                      N                                N   \n",
-       "Version                   SAM 2018.11.11 r2                SAM 2018.11.11 r2   \n",
-       "Date                               1/3/2019                         1/3/2019   \n",
-       "\n",
-       "           A10Green_Technology_A10J_M60_225 A10Green_Technology_A10J_M60_230  \\\n",
-       "Technology                       Multi-c-Si                       Multi-c-Si   \n",
-       "Bifacial                                  0                                0   \n",
-       "STC                                 224.986                          230.129   \n",
-       "PTC                                   193.5                            204.1   \n",
-       "A_c                                   1.624                            1.624   \n",
-       "Length                                1.632                            1.632   \n",
-       "Width                                 0.995                            0.995   \n",
-       "N_s                                      60                               60   \n",
-       "I_sc_ref                               8.04                              8.1   \n",
-       "V_oc_ref                              36.24                            36.42   \n",
-       "I_mp_ref                               7.44                             7.58   \n",
-       "V_mp_ref                              30.24                            30.36   \n",
-       "alpha_sc                           0.004406                         0.007857   \n",
-       "beta_oc                           -0.131334                        -0.130748   \n",
-       "T_NOCT                                 50.2                             46.4   \n",
-       "a_ref                               1.67178                          1.68048   \n",
-       "I_L_ref                             8.04721                          8.10361   \n",
-       "I_o_ref                         3.01424e-09                      3.09549e-09   \n",
-       "R_s                                 0.14737                         0.152058   \n",
-       "R_sh_ref                            164.419                          340.983   \n",
-       "Adjust                              20.6984                          21.5544   \n",
-       "gamma_r                             -0.5196                           -0.493   \n",
-       "BIPV                                      N                                N   \n",
-       "Version                   SAM 2018.11.11 r2                SAM 2018.11.11 r2   \n",
-       "Date                               1/3/2019                         1/3/2019   \n",
-       "\n",
-       "           A10Green_Technology_A10J_M60_235 A10Green_Technology_A10J_M60_240  \\\n",
-       "Technology                       Multi-c-Si                       Multi-c-Si   \n",
-       "Bifacial                                  0                                0   \n",
-       "STC                                 235.008                          240.538   \n",
-       "PTC                                   208.7                            213.3   \n",
-       "A_c                                   1.624                            1.624   \n",
-       "Length                                1.632                            1.632   \n",
-       "Width                                 0.995                            0.995   \n",
-       "N_s                                      60                               60   \n",
-       "I_sc_ref                               8.23                             8.32   \n",
-       "V_oc_ref                              36.72                            36.84   \n",
-       "I_mp_ref                               7.68                             7.83   \n",
-       "V_mp_ref                               30.6                            30.72   \n",
-       "alpha_sc                           0.007983                          0.00807   \n",
-       "beta_oc                           -0.131825                        -0.132256   \n",
-       "T_NOCT                                 46.4                             46.4   \n",
-       "a_ref                               1.69698                          1.69423   \n",
-       "I_L_ref                             8.23464                          8.32177   \n",
-       "I_o_ref                         3.24284e-09                      2.97878e-09   \n",
-       "R_s                                0.151504                         0.150077   \n",
-       "R_sh_ref                            268.701                           706.27   \n",
-       "Adjust                              21.8719                           20.881   \n",
-       "gamma_r                              -0.493                           -0.493   \n",
-       "BIPV                                      N                                N   \n",
-       "Version                   SAM 2018.11.11 r2                SAM 2018.11.11 r2   \n",
-       "Date                               1/3/2019                         1/3/2019   \n",
-       "\n",
-       "           A2Peak_Power_POWER_ON_P220_6x10 Aavid_Solar_ASMS_165P  ...  \\\n",
-       "Technology                      Multi-c-Si            Multi-c-Si  ...   \n",
-       "Bifacial                                 0                     0  ...   \n",
-       "STC                                219.978                164.85  ...   \n",
-       "PTC                                    195                 146.3  ...   \n",
-       "A_c                                  1.633                 1.301  ...   \n",
-       "Length                               1.633                 1.575  ...   \n",
-       "Width                                    1                 0.826  ...   \n",
-       "N_s                                     60                    72  ...   \n",
-       "I_sc_ref                              7.98                  5.25  ...   \n",
-       "V_oc_ref                             36.72                  43.5  ...   \n",
-       "I_mp_ref                              7.26                  4.71  ...   \n",
-       "V_mp_ref                              30.3                    35  ...   \n",
-       "alpha_sc                           0.00399              0.001575  ...   \n",
-       "beta_oc                           -0.12852             -0.170955  ...   \n",
-       "T_NOCT                                47.9                    45  ...   \n",
-       "a_ref                              1.59703               1.96463  ...   \n",
-       "I_L_ref                            8.00023               5.27415  ...   \n",
-       "I_o_ref                        7.85133e-10           1.19571e-09  ...   \n",
-       "R_s                               0.229644              0.595855  ...   \n",
-       "R_sh_ref                           90.5774               129.523  ...   \n",
-       "Adjust                             12.2172               7.16388  ...   \n",
-       "gamma_r                              -0.46                -0.519  ...   \n",
-       "BIPV                                     N                     N  ...   \n",
-       "Version                  SAM 2018.11.11 r2     SAM 2018.11.11 r2  ...   \n",
-       "Date                              1/3/2019              1/3/2019  ...   \n",
-       "\n",
-       "           Zytech_Solar_ZT275P Zytech_Solar_ZT280P Zytech_Solar_ZT285P  \\\n",
-       "Technology          Multi-c-Si          Multi-c-Si          Multi-c-Si   \n",
-       "Bifacial                     0                   0                   0   \n",
-       "STC                    275.014             280.329             285.326   \n",
-       "PTC                        248               252.6               257.3   \n",
-       "A_c                      1.931               1.931               1.931   \n",
-       "Length                    1.95                1.95                1.95   \n",
-       "Width                     0.99                0.99                0.99   \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              -0.144275           -0.144755           -0.145331   \n",
-       "T_NOCT                    46.4                46.4                46.4   \n",
-       "a_ref                  1.81027             1.81485              1.8201   \n",
-       "I_L_ref                8.32377             8.41015              8.4867   \n",
-       "I_o_ref            1.24062e-10          1.2341e-10         1.21696e-10   \n",
-       "R_s                   0.566493            0.552584            0.543536   \n",
-       "R_sh_ref               341.758             457.468             687.561   \n",
-       "Adjust                 5.42178             5.27464             5.06509   \n",
-       "gamma_r                -0.4308             -0.4308             -0.4308   \n",
-       "BIPV                         N                   N                   N   \n",
-       "Version      SAM 2018.11.11 r2   SAM 2018.11.11 r2   SAM 2018.11.11 r2   \n",
-       "Date                  1/3/2019            1/3/2019            1/3/2019   \n",
-       "\n",
-       "           Zytech_Solar_ZT290P Zytech_Solar_ZT295P Zytech_Solar_ZT300P  \\\n",
-       "Technology          Multi-c-Si          Multi-c-Si          Multi-c-Si   \n",
-       "Bifacial                     0                   0                   0   \n",
-       "STC                    290.036             295.066             300.003   \n",
-       "PTC                      261.9               266.5               271.2   \n",
-       "A_c                      1.931               1.931               1.931   \n",
-       "Length                    1.95                1.95                1.95   \n",
-       "Width                     0.99                0.99                0.99   \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              -0.145842           -0.146354           -0.147026   \n",
-       "T_NOCT                    46.4                46.4                46.4   \n",
-       "a_ref                  1.82278             1.83125             1.84441   \n",
-       "I_L_ref                8.55196             8.64154             8.80531   \n",
-       "I_o_ref            1.17172e-10         1.21851e-10         1.31413e-10   \n",
-       "R_s                   0.538499            0.521134            0.515735   \n",
-       "R_sh_ref               2348.68             2917.76             552.455   \n",
-       "Adjust                 4.66051              4.9013             5.41555   \n",
-       "gamma_r                -0.4308             -0.4308             -0.4308   \n",
-       "BIPV                         N                   N                   N   \n",
-       "Version      SAM 2018.11.11 r2   SAM 2018.11.11 r2   SAM 2018.11.11 r2   \n",
-       "Date                  1/3/2019            1/3/2019            1/3/2019   \n",
-       "\n",
-       "           Zytech_Solar_ZT305P Zytech_Solar_ZT310P Zytech_Solar_ZT315P  \\\n",
-       "Technology          Multi-c-Si          Multi-c-Si          Multi-c-Si   \n",
-       "Bifacial                     0                   0                   0   \n",
-       "STC                    305.056             310.144             315.094   \n",
-       "PTC                      275.8               280.5               285.1   \n",
-       "A_c                      1.931               1.931               1.931   \n",
-       "Length                    1.95                1.95                1.95   \n",
-       "Width                     0.99                0.99                0.99   \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              -0.147538            -0.14805           -0.148562   \n",
-       "T_NOCT                    46.4                46.4                46.4   \n",
-       "a_ref                  1.84915              1.8574             1.86502   \n",
-       "I_L_ref                8.87402              8.9948             9.10661   \n",
-       "I_o_ref            1.30106e-10         1.34888e-10         1.38664e-10   \n",
-       "R_s                   0.506611            0.495904            0.488376   \n",
-       "R_sh_ref               1119.07             767.958             682.292   \n",
-       "Adjust                 5.24155             5.44634             5.57874   \n",
-       "gamma_r                -0.4308             -0.4308             -0.4308   \n",
-       "BIPV                         N                   N                   N   \n",
-       "Version      SAM 2018.11.11 r2   SAM 2018.11.11 r2   SAM 2018.11.11 r2   \n",
-       "Date                  1/3/2019            1/3/2019            1/3/2019   \n",
-       "\n",
-       "           Zytech_Solar_ZT320P  \n",
-       "Technology          Multi-c-Si  \n",
-       "Bifacial                     0  \n",
-       "STC                     320.42  \n",
-       "PTC                      289.8  \n",
-       "A_c                      1.931  \n",
-       "Length                    1.95  \n",
-       "Width                     0.99  \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              -0.149073  \n",
-       "T_NOCT                    46.4  \n",
-       "a_ref                  1.87378  \n",
-       "I_L_ref                9.21845  \n",
-       "I_o_ref            1.44659e-10  \n",
-       "R_s                   0.475581  \n",
-       "R_sh_ref               604.221  \n",
-       "Adjust                 5.83833  \n",
-       "gamma_r                -0.4308  \n",
-       "BIPV                         N  \n",
-       "Version      SAM 2018.11.11 r2  \n",
-       "Date                  1/3/2019  \n",
-       "\n",
-       "[25 rows x 21535 columns]"
-      ]
+      "text/plain": "           A10Green_Technology_A10J_S72_175 A10Green_Technology_A10J_S72_180  \\\nTechnology                        Mono-c-Si                        Mono-c-Si   \nBifacial                                  0                                0   \nSTC                                 175.091                          179.928   \nPTC                                   151.2                            155.7   \nA_c                                     1.3                              1.3   \nLength                                1.576                            1.576   \nWidth                                 0.825                            0.825   \nN_s                                      72                               72   \nI_sc_ref                               5.17                             5.31   \nV_oc_ref                              43.99                            44.06   \nI_mp_ref                               4.78                              4.9   \nV_mp_ref                              36.63                            36.72   \nalpha_sc                           0.002146                         0.002204   \nbeta_oc                           -0.159068                        -0.159321   \nT_NOCT                                 49.9                             49.9   \na_ref                                1.9817                          1.98841   \nI_L_ref                              5.1757                          5.31615   \nI_o_ref                         1.14916e-09                      1.22524e-09   \nR_s                                0.316688                         0.299919   \nR_sh_ref                            287.102                          259.048   \nAdjust                              16.0571                           16.419   \ngamma_r                             -0.5072                          -0.5072   \nBIPV                                      N                                N   \nVersion                   SAM 2018.11.11 r2                SAM 2018.11.11 r2   \nDate                               1/3/2019                         1/3/2019   \n\n           A10Green_Technology_A10J_S72_185 A10Green_Technology_A10J_M60_220  \\\nTechnology                        Mono-c-Si                       Multi-c-Si   \nBifacial                                  0                                0   \nSTC                                 184.702                          219.876   \nPTC                                   160.2                            189.1   \nA_c                                     1.3                            1.624   \nLength                                1.576                            1.632   \nWidth                                 0.825                            0.995   \nN_s                                      72                               60   \nI_sc_ref                               5.43                             7.95   \nV_oc_ref                              44.14                            36.06   \nI_mp_ref                               5.03                              7.3   \nV_mp_ref                              36.72                            30.12   \nalpha_sc                           0.002253                         0.004357   \nbeta_oc                            -0.15961                        -0.130681   \nT_NOCT                                 49.9                             50.2   \na_ref                               1.98482                          1.67309   \nI_L_ref                             5.43568                          7.95906   \nI_o_ref                         1.16164e-09                      3.34415e-09   \nR_s                                0.311962                         0.140393   \nR_sh_ref                            298.424                          123.168   \nAdjust                              15.6882                          21.8752   \ngamma_r                             -0.5072                          -0.5196   \nBIPV                                      N                                N   \nVersion                   SAM 2018.11.11 r2                SAM 2018.11.11 r2   \nDate                               1/3/2019                         1/3/2019   \n\n           A10Green_Technology_A10J_M60_225 A10Green_Technology_A10J_M60_230  \\\nTechnology                       Multi-c-Si                       Multi-c-Si   \nBifacial                                  0                                0   \nSTC                                 224.986                          230.129   \nPTC                                   193.5                            204.1   \nA_c                                   1.624                            1.624   \nLength                                1.632                            1.632   \nWidth                                 0.995                            0.995   \nN_s                                      60                               60   \nI_sc_ref                               8.04                              8.1   \nV_oc_ref                              36.24                            36.42   \nI_mp_ref                               7.44                             7.58   \nV_mp_ref                              30.24                            30.36   \nalpha_sc                           0.004406                         0.007857   \nbeta_oc                           -0.131334                        -0.130748   \nT_NOCT                                 50.2                             46.4   \na_ref                               1.67178                          1.68048   \nI_L_ref                             8.04721                          8.10361   \nI_o_ref                         3.01424e-09                      3.09549e-09   \nR_s                                 0.14737                         0.152058   \nR_sh_ref                            164.419                          340.983   \nAdjust                              20.6984                          21.5544   \ngamma_r                             -0.5196                           -0.493   \nBIPV                                      N                                N   \nVersion                   SAM 2018.11.11 r2                SAM 2018.11.11 r2   \nDate                               1/3/2019                         1/3/2019   \n\n           A10Green_Technology_A10J_M60_235 A10Green_Technology_A10J_M60_240  \\\nTechnology                       Multi-c-Si                       Multi-c-Si   \nBifacial                                  0                                0   \nSTC                                 235.008                          240.538   \nPTC                                   208.7                            213.3   \nA_c                                   1.624                            1.624   \nLength                                1.632                            1.632   \nWidth                                 0.995                            0.995   \nN_s                                      60                               60   \nI_sc_ref                               8.23                             8.32   \nV_oc_ref                              36.72                            36.84   \nI_mp_ref                               7.68                             7.83   \nV_mp_ref                               30.6                            30.72   \nalpha_sc                           0.007983                          0.00807   \nbeta_oc                           -0.131825                        -0.132256   \nT_NOCT                                 46.4                             46.4   \na_ref                               1.69698                          1.69423   \nI_L_ref                             8.23464                          8.32177   \nI_o_ref                         3.24284e-09                      2.97878e-09   \nR_s                                0.151504                         0.150077   \nR_sh_ref                            268.701                           706.27   \nAdjust                              21.8719                           20.881   \ngamma_r                              -0.493                           -0.493   \nBIPV                                      N                                N   \nVersion                   SAM 2018.11.11 r2                SAM 2018.11.11 r2   \nDate                               1/3/2019                         1/3/2019   \n\n           A2Peak_Power_POWER_ON_P220_6x10 Aavid_Solar_ASMS_165P  ...  \\\nTechnology                      Multi-c-Si            Multi-c-Si  ...   \nBifacial                                 0                     0  ...   \nSTC                                219.978                164.85  ...   \nPTC                                    195                 146.3  ...   \nA_c                                  1.633                 1.301  ...   \nLength                               1.633                 1.575  ...   \nWidth                                    1                 0.826  ...   \nN_s                                     60                    72  ...   \nI_sc_ref                              7.98                  5.25  ...   \nV_oc_ref                             36.72                  43.5  ...   \nI_mp_ref                              7.26                  4.71  ...   \nV_mp_ref                              30.3                    35  ...   \nalpha_sc                           0.00399              0.001575  ...   \nbeta_oc                           -0.12852             -0.170955  ...   \nT_NOCT                                47.9                    45  ...   \na_ref                              1.59703               1.96463  ...   \nI_L_ref                            8.00023               5.27415  ...   \nI_o_ref                        7.85133e-10           1.19571e-09  ...   \nR_s                               0.229644              0.595855  ...   \nR_sh_ref                           90.5774               129.523  ...   \nAdjust                             12.2172               7.16388  ...   \ngamma_r                              -0.46                -0.519  ...   \nBIPV                                     N                     N  ...   \nVersion                  SAM 2018.11.11 r2     SAM 2018.11.11 r2  ...   \nDate                              1/3/2019              1/3/2019  ...   \n\n           Zytech_Solar_ZT275P Zytech_Solar_ZT280P Zytech_Solar_ZT285P  \\\nTechnology          Multi-c-Si          Multi-c-Si          Multi-c-Si   \nBifacial                     0                   0                   0   \nSTC                    275.014             280.329             285.326   \nPTC                        248               252.6               257.3   \nA_c                      1.931               1.931               1.931   \nLength                    1.95                1.95                1.95   \nWidth                     0.99                0.99                0.99   \nN_s                         72                  72                  72   \nI_sc_ref                  8.31                 8.4                8.48   \nV_oc_ref                  45.1               45.25               45.43   \nI_mp_ref                  7.76                7.87                7.97   \nV_mp_ref                 35.44               35.62                35.8   \nalpha_sc              0.004014            0.004057            0.004096   \nbeta_oc              -0.144275           -0.144755           -0.145331   \nT_NOCT                    46.4                46.4                46.4   \na_ref                  1.81027             1.81485              1.8201   \nI_L_ref                8.32377             8.41015              8.4867   \nI_o_ref            1.24062e-10          1.2341e-10         1.21696e-10   \nR_s                   0.566493            0.552584            0.543536   \nR_sh_ref               341.758             457.468             687.561   \nAdjust                 5.42178             5.27464             5.06509   \ngamma_r                -0.4308             -0.4308             -0.4308   \nBIPV                         N                   N                   N   \nVersion      SAM 2018.11.11 r2   SAM 2018.11.11 r2   SAM 2018.11.11 r2   \nDate                  1/3/2019            1/3/2019            1/3/2019   \n\n           Zytech_Solar_ZT290P Zytech_Solar_ZT295P Zytech_Solar_ZT300P  \\\nTechnology          Multi-c-Si          Multi-c-Si          Multi-c-Si   \nBifacial                     0                   0                   0   \nSTC                    290.036             295.066             300.003   \nPTC                      261.9               266.5               271.2   \nA_c                      1.931               1.931               1.931   \nLength                    1.95                1.95                1.95   \nWidth                     0.99                0.99                0.99   \nN_s                         72                  72                  72   \nI_sc_ref                  8.55                8.64                8.71   \nV_oc_ref                 45.59               45.75               45.96   \nI_mp_ref                  8.07                8.16                8.26   \nV_mp_ref                 35.94               36.16               36.32   \nalpha_sc               0.00413            0.004173            0.004207   \nbeta_oc              -0.145842           -0.146354           -0.147026   \nT_NOCT                    46.4                46.4                46.4   \na_ref                  1.82278             1.83125             1.84441   \nI_L_ref                8.55196             8.64154             8.80531   \nI_o_ref            1.17172e-10         1.21851e-10         1.31413e-10   \nR_s                   0.538499            0.521134            0.515735   \nR_sh_ref               2348.68             2917.76             552.455   \nAdjust                 4.66051              4.9013             5.41555   \ngamma_r                -0.4308             -0.4308             -0.4308   \nBIPV                         N                   N                   N   \nVersion      SAM 2018.11.11 r2   SAM 2018.11.11 r2   SAM 2018.11.11 r2   \nDate                  1/3/2019            1/3/2019            1/3/2019   \n\n           Zytech_Solar_ZT305P Zytech_Solar_ZT310P Zytech_Solar_ZT315P  \\\nTechnology          Multi-c-Si          Multi-c-Si          Multi-c-Si   \nBifacial                     0                   0                   0   \nSTC                    305.056             310.144             315.094   \nPTC                      275.8               280.5               285.1   \nA_c                      1.931               1.931               1.931   \nLength                    1.95                1.95                1.95   \nWidth                     0.99                0.99                0.99   \nN_s                         72                  72                  72   \nI_sc_ref                  8.87                 8.9                9.01   \nV_oc_ref                 46.12               46.28               46.44   \nI_mp_ref                  8.36                8.46                8.56   \nV_mp_ref                 36.49               36.66               36.81   \nalpha_sc              0.004284            0.004299            0.004352   \nbeta_oc              -0.147538            -0.14805           -0.148562   \nT_NOCT                    46.4                46.4                46.4   \na_ref                  1.84915              1.8574             1.86502   \nI_L_ref                8.87402              8.9948             9.10661   \nI_o_ref            1.30106e-10         1.34888e-10         1.38664e-10   \nR_s                   0.506611            0.495904            0.488376   \nR_sh_ref               1119.07             767.958             682.292   \nAdjust                 5.24155             5.44634             5.57874   \ngamma_r                -0.4308             -0.4308             -0.4308   \nBIPV                         N                   N                   N   \nVersion      SAM 2018.11.11 r2   SAM 2018.11.11 r2   SAM 2018.11.11 r2   \nDate                  1/3/2019            1/3/2019            1/3/2019   \n\n           Zytech_Solar_ZT320P  \nTechnology          Multi-c-Si  \nBifacial                     0  \nSTC                     320.42  \nPTC                      289.8  \nA_c                      1.931  \nLength                    1.95  \nWidth                     0.99  \nN_s                         72  \nI_sc_ref                  9.12  \nV_oc_ref                  46.6  \nI_mp_ref                  8.66  \nV_mp_ref                    37  \nalpha_sc              0.004405  \nbeta_oc              -0.149073  \nT_NOCT                    46.4  \na_ref                  1.87378  \nI_L_ref                9.21845  \nI_o_ref            1.44659e-10  \nR_s                   0.475581  \nR_sh_ref               604.221  \nAdjust                 5.83833  \ngamma_r                -0.4308  \nBIPV                         N  \nVersion      SAM 2018.11.11 r2  \nDate                  1/3/2019  \n\n[25 rows x 21535 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>A10Green_Technology_A10J_S72_175</th>\n      <th>A10Green_Technology_A10J_S72_180</th>\n      <th>A10Green_Technology_A10J_S72_185</th>\n      <th>A10Green_Technology_A10J_M60_220</th>\n      <th>A10Green_Technology_A10J_M60_225</th>\n      <th>A10Green_Technology_A10J_M60_230</th>\n      <th>A10Green_Technology_A10J_M60_235</th>\n      <th>A10Green_Technology_A10J_M60_240</th>\n      <th>A2Peak_Power_POWER_ON_P220_6x10</th>\n      <th>Aavid_Solar_ASMS_165P</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>Technology</th>\n      <td>Mono-c-Si</td>\n      <td>Mono-c-Si</td>\n      <td>Mono-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>...</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    <tr>\n      <th>Bifacial</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>STC</th>\n      <td>175.091</td>\n      <td>179.928</td>\n      <td>184.702</td>\n      <td>219.876</td>\n      <td>224.986</td>\n      <td>230.129</td>\n      <td>235.008</td>\n      <td>240.538</td>\n      <td>219.978</td>\n      <td>164.85</td>\n      <td>...</td>\n      <td>275.014</td>\n      <td>280.329</td>\n      <td>285.326</td>\n      <td>290.036</td>\n      <td>295.066</td>\n      <td>300.003</td>\n      <td>305.056</td>\n      <td>310.144</td>\n      <td>315.094</td>\n      <td>320.42</td>\n    </tr>\n    <tr>\n      <th>PTC</th>\n      <td>151.2</td>\n      <td>155.7</td>\n      <td>160.2</td>\n      <td>189.1</td>\n      <td>193.5</td>\n      <td>204.1</td>\n      <td>208.7</td>\n      <td>213.3</td>\n      <td>195</td>\n      <td>146.3</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>A_c</th>\n      <td>1.3</td>\n      <td>1.3</td>\n      <td>1.3</td>\n      <td>1.624</td>\n      <td>1.624</td>\n      <td>1.624</td>\n      <td>1.624</td>\n      <td>1.624</td>\n      <td>1.633</td>\n      <td>1.301</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>Length</th>\n      <td>1.576</td>\n      <td>1.576</td>\n      <td>1.576</td>\n      <td>1.632</td>\n      <td>1.632</td>\n      <td>1.632</td>\n      <td>1.632</td>\n      <td>1.632</td>\n      <td>1.633</td>\n      <td>1.575</td>\n      <td>...</td>\n      <td>1.95</td>\n      <td>1.95</td>\n      <td>1.95</td>\n      <td>1.95</td>\n      <td>1.95</td>\n      <td>1.95</td>\n      <td>1.95</td>\n      <td>1.95</td>\n      <td>1.95</td>\n      <td>1.95</td>\n    </tr>\n    <tr>\n      <th>Width</th>\n      <td>0.825</td>\n      <td>0.825</td>\n      <td>0.825</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>1</td>\n      <td>0.826</td>\n      <td>...</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>0.99</td>\n      <td>0.99</td>\n      <td>0.99</td>\n    </tr>\n    <tr>\n      <th>N_s</th>\n      <td>72</td>\n      <td>72</td>\n      <td>72</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>72</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>5.17</td>\n      <td>5.31</td>\n      <td>5.43</td>\n      <td>7.95</td>\n      <td>8.04</td>\n      <td>8.1</td>\n      <td>8.23</td>\n      <td>8.32</td>\n      <td>7.98</td>\n      <td>5.25</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>43.99</td>\n      <td>44.06</td>\n      <td>44.14</td>\n      <td>36.06</td>\n      <td>36.24</td>\n      <td>36.42</td>\n      <td>36.72</td>\n      <td>36.84</td>\n      <td>36.72</td>\n      <td>43.5</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>4.78</td>\n      <td>4.9</td>\n      <td>5.03</td>\n      <td>7.3</td>\n      <td>7.44</td>\n      <td>7.58</td>\n      <td>7.68</td>\n      <td>7.83</td>\n      <td>7.26</td>\n      <td>4.71</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>36.63</td>\n      <td>36.72</td>\n      <td>36.72</td>\n      <td>30.12</td>\n      <td>30.24</td>\n      <td>30.36</td>\n      <td>30.6</td>\n      <td>30.72</td>\n      <td>30.3</td>\n      <td>35</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>0.002146</td>\n      <td>0.002204</td>\n      <td>0.002253</td>\n      <td>0.004357</td>\n      <td>0.004406</td>\n      <td>0.007857</td>\n      <td>0.007983</td>\n      <td>0.00807</td>\n      <td>0.00399</td>\n      <td>0.001575</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>-0.159068</td>\n      <td>-0.159321</td>\n      <td>-0.15961</td>\n      <td>-0.130681</td>\n      <td>-0.131334</td>\n      <td>-0.130748</td>\n      <td>-0.131825</td>\n      <td>-0.132256</td>\n      <td>-0.12852</td>\n      <td>-0.170955</td>\n      <td>...</td>\n      <td>-0.144275</td>\n      <td>-0.144755</td>\n      <td>-0.145331</td>\n      <td>-0.145842</td>\n      <td>-0.146354</td>\n      <td>-0.147026</td>\n      <td>-0.147538</td>\n      <td>-0.14805</td>\n      <td>-0.148562</td>\n      <td>-0.149073</td>\n    </tr>\n    <tr>\n      <th>T_NOCT</th>\n      <td>49.9</td>\n      <td>49.9</td>\n      <td>49.9</td>\n      <td>50.2</td>\n      <td>50.2</td>\n      <td>46.4</td>\n      <td>46.4</td>\n      <td>46.4</td>\n      <td>47.9</td>\n      <td>45</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_ref</th>\n      <td>1.9817</td>\n      <td>1.98841</td>\n      <td>1.98482</td>\n      <td>1.67309</td>\n      <td>1.67178</td>\n      <td>1.68048</td>\n      <td>1.69698</td>\n      <td>1.69423</td>\n      <td>1.59703</td>\n      <td>1.96463</td>\n      <td>...</td>\n      <td>1.81027</td>\n      <td>1.81485</td>\n      <td>1.8201</td>\n      <td>1.82278</td>\n      <td>1.83125</td>\n      <td>1.84441</td>\n      <td>1.84915</td>\n      <td>1.8574</td>\n      <td>1.86502</td>\n      <td>1.87378</td>\n    </tr>\n    <tr>\n      <th>I_L_ref</th>\n      <td>5.1757</td>\n      <td>5.31615</td>\n      <td>5.43568</td>\n      <td>7.95906</td>\n      <td>8.04721</td>\n      <td>8.10361</td>\n      <td>8.23464</td>\n      <td>8.32177</td>\n      <td>8.00023</td>\n      <td>5.27415</td>\n      <td>...</td>\n      <td>8.32377</td>\n      <td>8.41015</td>\n      <td>8.4867</td>\n      <td>8.55196</td>\n      <td>8.64154</td>\n      <td>8.80531</td>\n      <td>8.87402</td>\n      <td>8.9948</td>\n      <td>9.10661</td>\n      <td>9.21845</td>\n    </tr>\n    <tr>\n      <th>I_o_ref</th>\n      <td>1.14916e-09</td>\n      <td>1.22524e-09</td>\n      <td>1.16164e-09</td>\n      <td>3.34415e-09</td>\n      <td>3.01424e-09</td>\n      <td>3.09549e-09</td>\n      <td>3.24284e-09</td>\n      <td>2.97878e-09</td>\n      <td>7.85133e-10</td>\n      <td>1.19571e-09</td>\n      <td>...</td>\n      <td>1.24062e-10</td>\n      <td>1.2341e-10</td>\n      <td>1.21696e-10</td>\n      <td>1.17172e-10</td>\n      <td>1.21851e-10</td>\n      <td>1.31413e-10</td>\n      <td>1.30106e-10</td>\n      <td>1.34888e-10</td>\n      <td>1.38664e-10</td>\n      <td>1.44659e-10</td>\n    </tr>\n    <tr>\n      <th>R_s</th>\n      <td>0.316688</td>\n      <td>0.299919</td>\n      <td>0.311962</td>\n      <td>0.140393</td>\n      <td>0.14737</td>\n      <td>0.152058</td>\n      <td>0.151504</td>\n      <td>0.150077</td>\n      <td>0.229644</td>\n      <td>0.595855</td>\n      <td>...</td>\n      <td>0.566493</td>\n      <td>0.552584</td>\n      <td>0.543536</td>\n      <td>0.538499</td>\n      <td>0.521134</td>\n      <td>0.515735</td>\n      <td>0.506611</td>\n      <td>0.495904</td>\n      <td>0.488376</td>\n      <td>0.475581</td>\n    </tr>\n    <tr>\n      <th>R_sh_ref</th>\n      <td>287.102</td>\n      <td>259.048</td>\n      <td>298.424</td>\n      <td>123.168</td>\n      <td>164.419</td>\n      <td>340.983</td>\n      <td>268.701</td>\n      <td>706.27</td>\n      <td>90.5774</td>\n      <td>129.523</td>\n      <td>...</td>\n      <td>341.758</td>\n      <td>457.468</td>\n      <td>687.561</td>\n      <td>2348.68</td>\n      <td>2917.76</td>\n      <td>552.455</td>\n      <td>1119.07</td>\n      <td>767.958</td>\n      <td>682.292</td>\n      <td>604.221</td>\n    </tr>\n    <tr>\n      <th>Adjust</th>\n      <td>16.0571</td>\n      <td>16.419</td>\n      <td>15.6882</td>\n      <td>21.8752</td>\n      <td>20.6984</td>\n      <td>21.5544</td>\n      <td>21.8719</td>\n      <td>20.881</td>\n      <td>12.2172</td>\n      <td>7.16388</td>\n      <td>...</td>\n      <td>5.42178</td>\n      <td>5.27464</td>\n      <td>5.06509</td>\n      <td>4.66051</td>\n      <td>4.9013</td>\n      <td>5.41555</td>\n      <td>5.24155</td>\n      <td>5.44634</td>\n      <td>5.57874</td>\n      <td>5.83833</td>\n    </tr>\n    <tr>\n      <th>gamma_r</th>\n      <td>-0.5072</td>\n      <td>-0.5072</td>\n      <td>-0.5072</td>\n      <td>-0.5196</td>\n      <td>-0.5196</td>\n      <td>-0.493</td>\n      <td>-0.493</td>\n      <td>-0.493</td>\n      <td>-0.46</td>\n      <td>-0.519</td>\n      <td>...</td>\n      <td>-0.4308</td>\n      <td>-0.4308</td>\n      <td>-0.4308</td>\n      <td>-0.4308</td>\n      <td>-0.4308</td>\n      <td>-0.4308</td>\n      <td>-0.4308</td>\n      <td>-0.4308</td>\n      <td>-0.4308</td>\n      <td>-0.4308</td>\n    </tr>\n    <tr>\n      <th>BIPV</th>\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      <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>Version</th>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>...</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n      <td>SAM 2018.11.11 r2</td>\n    </tr>\n    <tr>\n      <th>Date</th>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>...</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n      <td>1/3/2019</td>\n    </tr>\n  </tbody>\n</table>\n<p>25 rows × 21535 columns</p>\n</div>"
      },
-     "execution_count": 17,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 15
     }
    ],
    "source": [
@@ -2128,43 +492,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "Technology            Mono-c-Si\n",
-       "Bifacial                      0\n",
-       "STC                     219.961\n",
-       "PTC                       200.1\n",
-       "A_c                         1.7\n",
-       "Length                    1.602\n",
-       "Width                     1.061\n",
-       "N_s                          96\n",
-       "I_sc_ref                    5.1\n",
-       "V_oc_ref                   59.4\n",
-       "I_mp_ref                   4.69\n",
-       "V_mp_ref                   46.9\n",
-       "alpha_sc               0.004539\n",
-       "beta_oc               -0.222156\n",
-       "T_NOCT                     42.4\n",
-       "a_ref                   2.63593\n",
-       "I_L_ref                 5.11426\n",
-       "I_o_ref             8.10251e-10\n",
-       "R_s                     1.06602\n",
-       "R_sh_ref                381.254\n",
-       "Adjust                  8.61952\n",
-       "gamma_r                  -0.476\n",
-       "BIPV                          N\n",
-       "Version       SAM 2018.11.11 r2\n",
-       "Date                   1/3/2019\n",
-       "Name: Canadian_Solar_Inc__CS5P_220M, dtype: object"
-      ]
+      "text/plain": "Technology            Mono-c-Si\nBifacial                      0\nSTC                     219.961\nPTC                       200.1\nA_c                         1.7\nLength                    1.602\nWidth                     1.061\nN_s                          96\nI_sc_ref                    5.1\nV_oc_ref                   59.4\nI_mp_ref                   4.69\nV_mp_ref                   46.9\nalpha_sc               0.004539\nbeta_oc               -0.222156\nT_NOCT                     42.4\na_ref                   2.63593\nI_L_ref                 5.11426\nI_o_ref             8.10251e-10\nR_s                     1.06602\nR_sh_ref                381.254\nAdjust                  8.61952\ngamma_r                  -0.476\nBIPV                          N\nVersion       SAM 2018.11.11 r2\nDate                   1/3/2019\nName: Canadian_Solar_Inc__CS5P_220M, dtype: object"
      },
-     "execution_count": 18,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 16
     }
    ],
    "source": [
@@ -2181,1954 +518,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
-      "text/html": [
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-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>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",
-       "                                      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]"
-      ]
+      "text/plain": "                                                    -0.355   \nC3                                                         -13.0643   \nA0                                                           0.9327   \nA1                                                          0.07283   \nA2                                                         -0.02402   \nA3                                                         0.003819   \nA4                                                        -0.000235   \nB0                                                                1   \nB1                                                        -0.006801   \nB2                                                        0.0007968   \nB3                                                       -3.095e-05   \nB4                                                        4.896e-07   \nB5                                                        -2.78e-09   \nDTC                                                            2.58   \nFD                                                                1   \nA                                                           -3.7566   \nB                                                            -0.156   \nC4                                                              NaN   \nC5                                                              NaN   \nIXO                                                             NaN   \nIXXO                                                            NaN   \nC6                                                              NaN   \nC7                                                              NaN   \nNotes             Source:  CFV Solar Test Lab.  Tested 2013.  Mo...   \n\n                                    Canadian_Solar_CS6X_300M__2013_  \\\nVintage                                                        2013   \nArea                                                           1.91   \nMaterial                                                       c-Si   \nCells_in_Series                                                  72   \nParallel_Strings                                                  1   \nIsco                                                         8.6388   \nVoco                                                        43.5918   \nImpo                                                         8.1359   \nVmpo                                                        34.9531   \nAisc                                                         0.0005   \nAimp                                                        -0.0001   \nC0                                                           1.0121   \nC1                                                          -0.0121   \nBvoco                                                       -0.1532   \nMbvoc                                                             0   \nBvmpo                                                       -0.1634   \nMbvmp                                                             0   \nN                                                            1.0025   \nC2                                                           -0.171   \nC3                                                         -9.39745   \nA0                                                           0.9371   \nA1                                                          0.06262   \nA2                                                         -0.01667   \nA3                                                         0.002168   \nA4                                                       -0.0001087   \nB0                                                                1   \nB1                                                         -0.00789   \nB2                                                        0.0008656   \nB3                                                       -3.298e-05   \nB4                                                        5.178e-07   \nB5                                                       -2.918e-09   \nDTC                                                             3.2   \nFD                                                                1   \nA                                                           -3.6024   \nB                                                           -0.2106   \nC4                                                              NaN   \nC5                                                              NaN   \nIXO                                                             NaN   \nIXXO                                                            NaN   \nC6                                                              NaN   \nC7                                                              NaN   \nNotes             Source:  CFV Solar Test Lab.  Tested 2013.  Mo...   \n\n                                              LG_LG290N1C_G3__2013_  \\\nVintage                                                        2013   \nArea                                                           1.64   \nMaterial                                                       c-Si   \nCells_in_Series                                                  60   \nParallel_Strings                                                  1   \nIsco                                                         9.8525   \nVoco                                                        39.6117   \nImpo                                                         9.2473   \nVmpo                                                        31.2921   \nAisc                                                         0.0002   \nAimp                                                        -0.0004   \nC0                                                           1.0145   \nC1                                                          -0.0145   \nBvoco                                                       -0.1205   \nMbvoc                                                             0   \nBvmpo                                                       -0.1337   \nMbvmp                                                             0   \nN                                                            1.0925   \nC2                                                          -0.4647   \nC3                                                         -11.9008   \nA0                                                           0.9731   \nA1                                                          0.02966   \nA2                                                         -0.01024   \nA3                                                         0.001793   \nA4                                                       -0.0001286   \nB0                                                                1   \nB1                                                          -0.0154   \nB2                                                         0.001572   \nB3                                                       -5.525e-05   \nB4                                                         8.04e-07   \nB5                                                       -4.202e-09   \nDTC                                                            3.05   \nFD                                                                1   \nA                                                           -3.4247   \nB                                                           -0.0951   \nC4                                                              NaN   \nC5                                                              NaN   \nIXO                                                             NaN   \nIXXO                                                            NaN   \nC6                                                              NaN   \nC7                                                              NaN   \nNotes             Source:  CFV Solar Test Lab.  Tested 2013.  Mo...   \n\n                                              Sharp_NDQ235F4__2013_  \\\nVintage                                                        2013   \nArea                                                           1.56   \nMaterial                                                      mc-Si   \nCells_in_Series                                                  60   \nParallel_Strings                                                  1   \nIsco                                                         8.6739   \nVoco                                                        36.8276   \nImpo                                                         8.1243   \nVmpo                                                        29.1988   \nAisc                                                         0.0006   \nAimp                                                        -0.0002   \nC0                                                           1.0049   \nC1                                                          -0.0049   \nBvoco                                                       -0.1279   \nMbvoc                                                             0   \nBvmpo                                                       -0.1348   \nMbvmp                                                             0   \nN                                                            1.0695   \nC2                                                          -0.2718   \nC3                                                         -11.4033   \nA0                                                           0.9436   \nA1                                                          0.04765   \nA2                                                        -0.007405   \nA3                                                        0.0003818   \nA4                                                       -1.101e-05   \nB0                                                                1   \nB1                                                         -0.00464   \nB2                                                         0.000559   \nB3                                                       -2.249e-05   \nB4                                                        3.673e-07   \nB5                                                       -2.144e-09   \nDTC                                                            3.27   \nFD                                                                1   \nA                                                           -3.7445   \nB                                                            -0.149   \nC4                                                              NaN   \nC5                                                              NaN   \nIXO                                                             NaN   \nIXXO                                                            NaN   \nC6                                                              NaN   \nC7                                                              NaN   \nNotes             Source:  CFV Solar Test Lab.  Tested 2013.  Mo...   \n\n                                      Solar_Frontier_SF_160S__2013_  \\\nVintage                                                        2013   \nArea                                                           1.22   \nMaterial                                                        CIS   \nCells_in_Series                                                 172   \nParallel_Strings                                                  1   \nIsco                                                         2.0259   \nVoco                                                        112.505   \nImpo                                                         1.8356   \nVmpo                                                        86.6752   \nAisc                                                         0.0001   \nAimp                                                        -0.0003   \nC0                                                           1.0096   \nC1                                                          -0.0096   \nBvoco                                                       -0.3044   \nMbvoc                                                             0   \nBvmpo                                                       -0.2339   \nMbvmp                                                             0   \nN                                                            1.2066   \nC2                                                          -0.5426   \nC3                                                         -15.2598   \nA0                                                           0.9354   \nA1                                                          0.06809   \nA2                                                         -0.02094   \nA3                                                          0.00293   \nA4                                                       -0.0001564   \nB0                                                                1   \nB1                                                          -0.0152   \nB2                                                         0.001598   \nB3                                                       -5.682e-05   \nB4                                                        8.326e-07   \nB5                                                       -4.363e-09   \nDTC                                                            3.29   \nFD                                                                1   \nA                                                           -3.6836   \nB                                                           -0.1483   \nC4                                                              NaN   \nC5                                                              NaN   \nIXO                                                             NaN   \nIXXO                                                            NaN   \nC6                                                              NaN   \nC7                                                              NaN   \nNotes             Source:  CFV Solar Test Lab.  Tested 2013.  Mo...   \n\n                               SolarWorld_Sunmodule_250_Poly__2013_  \\\nVintage                                                        2013   \nArea                                                           1.68   \nMaterial                                                      mc-Si   \nCells_in_Series                                                  60   \nParallel_Strings                                                  1   \nIsco                                                         8.3768   \nVoco                                                        36.3806   \nImpo                                                         7.6921   \nVmpo                                                         28.348   \nAisc                                                         0.0006   \nAimp                                                        -0.0001   \nC0                                                           1.0158   \nC1                                                          -0.0158   \nBvoco                                                       -0.1393   \nMbvoc                                                             0   \nBvmpo                                                       -0.1449   \nMbvmp                                                             0   \nN                                                             1.226   \nC2                                                         -0.09677   \nC3                                                         -8.51148   \nA0                                                           0.9288   \nA1                                                          0.07201   \nA2                                                         -0.02065   \nA3                                                         0.002862   \nA4                                                       -0.0001544   \nB0                                                                1   \nB1                                                         -0.00308   \nB2                                                        0.0004053   \nB3                                                       -1.729e-05   \nB4                                                        2.997e-07   \nB5                                                       -1.878e-09   \nDTC                                                            3.19   \nFD                                                                1   \nA                                                             -3.73   \nB                                                           -0.1483   \nC4                                                              NaN   \nC5                                                              NaN   \nIXO                                                             NaN   \nIXXO                                                            NaN   \nC6                                                              NaN   \nC7                                                              NaN   \nNotes             Source:  CFV Solar Test Lab.  Tested 2013.  Mo...   \n\n                                     Silevo_Triex_U300_Black__2014_  \nVintage                                                        2014  \nArea                                                           1.68  \nMaterial                                                       c-Si  \nCells_in_Series                                                  96  \nParallel_Strings                                                  1  \nIsco                                                          5.771  \nVoco                                                        68.5983  \nImpo                                                          5.383  \nVmpo                                                        55.4547  \nAisc                                                         0.0003  \nAimp                                                        -0.0003  \nC0                                                            0.995  \nC1                                                            0.005  \nBvoco                                                       -0.1913  \nMbvoc                                                             0  \nBvmpo                                                        -0.184  \nMbvmp                                                             0  \nN                                                             1.345  \nC2                                                           0.3221  \nC3                                                          -6.7178  \nA0                                                           0.9191  \nA1                                                          0.09988  \nA2                                                         -0.04273  \nA3                                                          0.00937  \nA4                                                       -0.0007643  \nB0                                                                1  \nB1                                                        -0.006498  \nB2                                                        0.0006908  \nB3                                                       -2.678e-05  \nB4                                                        4.322e-07  \nB5                                                       -2.508e-09  \nDTC                                                            3.13  \nFD                                                                1  \nA                                                           -3.6866  \nB                                                            -0.104  \nC4                                                              NaN  \nC5                                                              NaN  \nIXO                                                             NaN  \nIXXO                                                            NaN  \nC6                                                              NaN  \nC7                                                              NaN  \nNotes             Source:  CFV Solar Test Lab.  Tested 2014.  Mo...  \n\n[42 rows x 523 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>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>"
      },
-     "execution_count": 19,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 17
     }
    ],
    "source": [
@@ -4138,60 +538,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "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"
-      ]
+      "text/plain": "Vintage                                                          2009\nArea                                                            1.701\nMaterial                                                         c-Si\nCells_in_Series                                                    96\nParallel_Strings                                                    1\nIsco                                                          5.09115\nVoco                                                          59.2608\nImpo                                                          4.54629\nVmpo                                                          48.3156\nAisc                                                         0.000397\nAimp                                                         0.000181\nC0                                                            1.01284\nC1                                                         -0.0128398\nBvoco                                                        -0.21696\nMbvoc                                                               0\nBvmpo                                                       -0.235488\nMbvmp                                                               0\nN                                                              1.4032\nC2                                                           0.279317\nC3                                                           -7.24463\nA0                                                           0.928385\nA1                                                           0.068093\nA2                                                         -0.0157738\nA3                                                          0.0016606\nA4                                                          -6.93e-05\nB0                                                                  1\nB1                                                          -0.002438\nB2                                                          0.0003103\nB3                                                         -1.246e-05\nB4                                                           2.11e-07\nB5                                                          -1.36e-09\nDTC                                                                 3\nFD                                                                  1\nA                                                            -3.40641\nB                                                          -0.0842075\nC4                                                           0.996446\nC5                                                           0.003554\nIXO                                                           4.97599\nIXXO                                                          3.18803\nC6                                                            1.15535\nC7                                                          -0.155353\nNotes               Source: Sandia National Laboratories Updated 9...\nName: Canadian_Solar_CS5P_220M___2009_, dtype: object"
      },
-     "execution_count": 20,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 18
     }
    ],
    "source": [
@@ -4208,7 +564,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4250,18 +606,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -4282,7 +639,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4338,18 +695,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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SiYiIiIiISDLYpBIREREREZFksEklIiIiIiIiyfh/qQXIadXNASoAAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<Figure size 1152x720 with 6 Axes>"
-      ]
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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -4365,18 +723,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1152x720 with 6 Axes>"
-      ]
+      "text/plain": "<Figure size 1152x720 with 6 Axes>",
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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -4389,18 +748,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
-      ]
+      "text/plain": "<Figure size 432x288 with 1 Axes>",
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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -4427,7 +787,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4437,7 +797,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4464,18 +824,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -4516,7 +877,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4533,18 +894,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
-      ]
+      "text/plain": "<Figure size 432x288 with 1 Axes>",
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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -4554,18 +916,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -4575,18 +938,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "1.066023"
-      ]
+      "text/plain": "1.066023"
      },
-     "execution_count": 33,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 31
     }
    ],
    "source": [
@@ -4595,18 +956,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -4617,18 +979,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -4645,7 +1008,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4655,18 +1018,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -4675,18 +1039,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -4695,18 +1060,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
-      ]
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\n"
      },
-     "metadata": {},
-     "output_type": "display_data"
+     "metadata": {
+      "needs_background": "light"
+     }
     }
    ],
    "source": [
@@ -4723,9 +1089,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3.8.2 64-bit ('pvlib38': conda)",
    "language": "python",
-   "name": "python3"
+   "name": "python_defaultSpec_1595300091462"
   },
   "language_info": {
    "codemirror_mode": {
@@ -4737,9 +1103,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.8.2-final"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}
\ No newline at end of file

From f3e4165c603e806304d167416c99b6f0dec409f6 Mon Sep 17 00:00:00 2001
From: Will Holmgren <william.holmgren@gmail.com>
Date: Mon, 20 Jul 2020 20:01:56 -0700
Subject: [PATCH 3/7] whatsnew

---
 docs/sphinx/source/whatsnew/v0.8.0.rst | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/docs/sphinx/source/whatsnew/v0.8.0.rst b/docs/sphinx/source/whatsnew/v0.8.0.rst
index b15911ef7e..c3a6cecb26 100644
--- a/docs/sphinx/source/whatsnew/v0.8.0.rst
+++ b/docs/sphinx/source/whatsnew/v0.8.0.rst
@@ -12,6 +12,11 @@ API Changes with Deprecations
    - :py:func:`pvlib.pvsystem.adrinverter` is now :py:func:`pvlib.inverter.adr`
 * Argument ``ac_model`` for :py:class:`pvlib.modelchain.ModelChain` now accepts
   ``'sandia'``, ``'pvwatts'`` and ``'adr'`` for the inverter models.  (:pull:`886`)
+* Removed ``systemdef`` function from ``pvsystem.py``. This function was not
+  used in pvlib and its output was not directly compatible with any pvlib
+  function. See :py:func:`pvlib.iotools.read_tmy2`,
+  :py:func:`pvlib.iotools.read_tmy3`, :py:meth:`pvlib.Location.from_tmy`, and
+  :py:class:`pvlib.pvsystem.LocalizedPVSystem` for alternatives. (:issue:`965`)
 
 API Changes
 ~~~~~~~~~~~

From 0e22c33b05344fdb2e214af0e057a6b8640c9d1f Mon Sep 17 00:00:00 2001
From: Will Holmgren <william.holmgren@gmail.com>
Date: Mon, 20 Jul 2020 20:03:11 -0700
Subject: [PATCH 4/7] remove from api.rst

---
 docs/sphinx/source/api.rst | 1 -
 1 file changed, 1 deletion(-)

diff --git a/docs/sphinx/source/api.rst b/docs/sphinx/source/api.rst
index 9c93af7475..0e9cfa19e0 100644
--- a/docs/sphinx/source/api.rst
+++ b/docs/sphinx/source/api.rst
@@ -328,7 +328,6 @@ Other
    :toctree: generated/
 
    pvsystem.retrieve_sam
-   pvsystem.systemdef
    pvsystem.scale_voltage_current_power
 
 

From a58d7ea64b0f729f66d57ba832b4edf2cb0130cc Mon Sep 17 00:00:00 2001
From: Will Holmgren <william.holmgren@gmail.com>
Date: Tue, 21 Jul 2020 08:14:56 -0700
Subject: [PATCH 5/7] Update docs/sphinx/source/whatsnew/v0.8.0.rst

Co-authored-by: Kevin Anderson <57452607+kanderso-nrel@users.noreply.github.com>
---
 docs/sphinx/source/whatsnew/v0.8.0.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/sphinx/source/whatsnew/v0.8.0.rst b/docs/sphinx/source/whatsnew/v0.8.0.rst
index c3a6cecb26..13c8030783 100644
--- a/docs/sphinx/source/whatsnew/v0.8.0.rst
+++ b/docs/sphinx/source/whatsnew/v0.8.0.rst
@@ -15,7 +15,7 @@ API Changes with Deprecations
 * Removed ``systemdef`` function from ``pvsystem.py``. This function was not
   used in pvlib and its output was not directly compatible with any pvlib
   function. See :py:func:`pvlib.iotools.read_tmy2`,
-  :py:func:`pvlib.iotools.read_tmy3`, :py:meth:`pvlib.Location.from_tmy`, and
+  :py:func:`pvlib.iotools.read_tmy3`, :py:meth:`pvlib.location.Location.from_tmy`, and
   :py:class:`pvlib.pvsystem.LocalizedPVSystem` for alternatives. (:issue:`965`)
 
 API Changes

From 3fa3f1f352f6f4190f94d34bb2477465f42cdcc8 Mon Sep 17 00:00:00 2001
From: Will Holmgren <william.holmgren@gmail.com>
Date: Tue, 21 Jul 2020 08:15:38 -0700
Subject: [PATCH 6/7] one line import

---
 pvlib/tests/test_pvsystem.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/pvlib/tests/test_pvsystem.py b/pvlib/tests/test_pvsystem.py
index 7b3b53262c..539e903651 100644
--- a/pvlib/tests/test_pvsystem.py
+++ b/pvlib/tests/test_pvsystem.py
@@ -15,8 +15,7 @@
 from pvlib import temperature
 from pvlib._deprecation import pvlibDeprecationWarning
 
-from conftest import (
-    needs_numpy_1_10, requires_scipy, fail_on_pvlib_version)
+from conftest import needs_numpy_1_10, requires_scipy, fail_on_pvlib_version
 
 
 @pytest.mark.parametrize('iam_model,model_params', [

From b45c8acc9bc38866fb33c5c3e22672b079baadea Mon Sep 17 00:00:00 2001
From: Will Holmgren <william.holmgren@gmail.com>
Date: Tue, 21 Jul 2020 08:16:52 -0700
Subject: [PATCH 7/7] correct api changes section

---
 docs/sphinx/source/whatsnew/v0.8.0.rst | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

diff --git a/docs/sphinx/source/whatsnew/v0.8.0.rst b/docs/sphinx/source/whatsnew/v0.8.0.rst
index 13c8030783..cbe57587e9 100644
--- a/docs/sphinx/source/whatsnew/v0.8.0.rst
+++ b/docs/sphinx/source/whatsnew/v0.8.0.rst
@@ -12,11 +12,6 @@ API Changes with Deprecations
    - :py:func:`pvlib.pvsystem.adrinverter` is now :py:func:`pvlib.inverter.adr`
 * Argument ``ac_model`` for :py:class:`pvlib.modelchain.ModelChain` now accepts
   ``'sandia'``, ``'pvwatts'`` and ``'adr'`` for the inverter models.  (:pull:`886`)
-* Removed ``systemdef`` function from ``pvsystem.py``. This function was not
-  used in pvlib and its output was not directly compatible with any pvlib
-  function. See :py:func:`pvlib.iotools.read_tmy2`,
-  :py:func:`pvlib.iotools.read_tmy3`, :py:meth:`pvlib.location.Location.from_tmy`, and
-  :py:class:`pvlib.pvsystem.LocalizedPVSystem` for alternatives. (:issue:`965`)
 
 API Changes
 ~~~~~~~~~~~
@@ -30,6 +25,12 @@ API Changes
 * The tkinter-based file selection dialog has been removed from
   :py:func:`pvlib.iotools.read_tmy2` and :py:func:`pvlib.iotools.read_tmy3`;
   the filepath is now a required parameter. (:pull:`1004`)
+* Removed ``systemdef`` function from ``pvsystem.py``. This function was not
+  used in pvlib and its output was not directly compatible with any pvlib
+  function. See :py:func:`pvlib.iotools.read_tmy2`,
+  :py:func:`pvlib.iotools.read_tmy3`, :py:meth:`pvlib.location.Location.from_tmy`, and
+  :py:class:`pvlib.pvsystem.LocalizedPVSystem` for alternatives. (:issue:`965`)
+  (:pull:`1008`)
 
 Enhancements
 ~~~~~~~~~~~~