intro_exiobase/intro_exiobase.ipynb

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   "source": [
    "# Practical 5: Introduction to exiobase\n",
    "\n",
    "In this practical, you will learn how to load and work with exiobase\n",
    "\n",
    "You can download exiobase through this link https://zenodo.org/record/5589597\n",
    " \n",
    "We will work with: IOT_2019_pxp.zip\n",
    "\n",
    "The objectives of the practical are:\n",
    "- See the data available within exiobase\n",
    "- Calculate footprints using exiobase\n",
    "- Make a visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Exercise 1: Load the data\n",
    "\n",
    "Import the IO exiobase data for the year 2019 in product-by-product format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "# Import modules\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### 1.1 Import exiobase\n",
    "\n",
    "Beware: exiobase is composed by large datasets so it may take some time to load and process"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "A = pd.read_csv('data/IOT_2019_pxp/A.txt', sep='\\t',\n",
    "                index_col=[0, 1], header=[0, 1])  # A matrix\n",
    "Y = pd.read_csv('data/IOT_2019_pxp/Y.txt', sep='\\t',\n",
    "                index_col=[0, 1], header=[0, 1])  # Y matrix\n",
    "F = pd.read_csv('data/IOT_2019_pxp/impacts/F.txt', sep='\\t',\n",
    "                index_col=[0], header=[0, 1])  # impacts matrix\n",
    "F_hh = pd.read_csv('data/IOT_2019_pxp/impacts/F_y.txt', sep='\\t',\n",
    "                index_col=[0], header=[0, 1])  # impacts for FD matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "      <td>0.000000e+00</td>\n",
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       "      <th>Land use Crop, Forest, Pasture</th>\n",
       "      <td>3.593989e+03</td>\n",
       "      <td>0.000000e+00</td>\n",
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      "text/plain": [
       "region                                                                                      AT  \\\n",
       "category                                           Final consumption expenditure by households   \n",
       "impact                                                                                           \n",
       "Value Added                                                                       0.000000e+00   \n",
       "Employment                                                                        0.000000e+00   \n",
       "Employment hour                                                                   0.000000e+00   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                                1.423881e+10   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                                1.809445e+02   \n",
       "...                                                                                        ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                          0.000000e+00   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                                 0.000000e+00   \n",
       "Unused Domestic Extraction - Iron Ore                                             0.000000e+00   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                                0.000000e+00   \n",
       "Land use Crop, Forest, Pasture                                                    3.593989e+03   \n",
       "\n",
       "region                                                                                                                                   \\\n",
       "category                                           Final consumption expenditure by non-profit organisations serving households (NPISH)   \n",
       "impact                                                                                                                                    \n",
       "Value Added                                                                              0.000000e+00                                     \n",
       "Employment                                                                               0.000000e+00                                     \n",
       "Employment hour                                                                          0.000000e+00                                     \n",
       "GHG emissions (GWP100) | Problem oriented appro...                                       5.922743e+08                                     \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                                       8.657653e-01                                     \n",
       "...                                                                                               ...                                     \n",
       "Unused Domestic Extraction - Oil and Gas                                                 0.000000e+00                                     \n",
       "Unused Domestic Extraction - Non-metalic Minerals                                        0.000000e+00                                     \n",
       "Unused Domestic Extraction - Iron Ore                                                    0.000000e+00                                     \n",
       "Unused Domestic Extraction - Non-ferous metal ores                                       0.000000e+00                                     \n",
       "Land use Crop, Forest, Pasture                                                           0.000000e+00                                     \n",
       "\n",
       "region                                                                                          \\\n",
       "category                                           Final consumption expenditure by government   \n",
       "impact                                                                                           \n",
       "Value Added                                                                       0.000000e+00   \n",
       "Employment                                                                        0.000000e+00   \n",
       "Employment hour                                                                   0.000000e+00   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                                7.515299e+08   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                                1.306885e+00   \n",
       "...                                                                                        ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                          0.000000e+00   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                                 0.000000e+00   \n",
       "Unused Domestic Extraction - Iron Ore                                             0.000000e+00   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                                0.000000e+00   \n",
       "Land use Crop, Forest, Pasture                                                    0.000000e+00   \n",
       "\n",
       "region                                                                            \\\n",
       "category                                           Gross fixed capital formation   \n",
       "impact                                                                             \n",
       "Value Added                                                                    0   \n",
       "Employment                                                                     0   \n",
       "Employment hour                                                                0   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                             0   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                             0   \n",
       "...                                                                          ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                       0   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                              0   \n",
       "Unused Domestic Extraction - Iron Ore                                          0   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                             0   \n",
       "Land use Crop, Forest, Pasture                                                 0   \n",
       "\n",
       "region                                                                     \\\n",
       "category                                           Changes in inventories   \n",
       "impact                                                                      \n",
       "Value Added                                                             0   \n",
       "Employment                                                              0   \n",
       "Employment hour                                                         0   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                      0   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                      0   \n",
       "...                                                                   ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                0   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                       0   \n",
       "Unused Domestic Extraction - Iron Ore                                   0   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                      0   \n",
       "Land use Crop, Forest, Pasture                                          0   \n",
       "\n",
       "region                                                                   \\\n",
       "category                                           Changes in valuables   \n",
       "impact                                                                    \n",
       "Value Added                                                           0   \n",
       "Employment                                                            0   \n",
       "Employment hour                                                       0   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                    0   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                    0   \n",
       "...                                                                 ...   \n",
       "Unused Domestic Extraction - Oil and Gas                              0   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                     0   \n",
       "Unused Domestic Extraction - Iron Ore                                 0   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                    0   \n",
       "Land use Crop, Forest, Pasture                                        0   \n",
       "\n",
       "region                                                                   \\\n",
       "category                                           Exports: Total (fob)   \n",
       "impact                                                                    \n",
       "Value Added                                                           0   \n",
       "Employment                                                            0   \n",
       "Employment hour                                                       0   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                    0   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                    0   \n",
       "...                                                                 ...   \n",
       "Unused Domestic Extraction - Oil and Gas                              0   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                     0   \n",
       "Unused Domestic Extraction - Iron Ore                                 0   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                    0   \n",
       "Land use Crop, Forest, Pasture                                        0   \n",
       "\n",
       "region                                                                                      BE  \\\n",
       "category                                           Final consumption expenditure by households   \n",
       "impact                                                                                           \n",
       "Value Added                                                                       0.000000e+00   \n",
       "Employment                                                                        0.000000e+00   \n",
       "Employment hour                                                                   0.000000e+00   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                                2.515551e+10   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                                1.246890e+02   \n",
       "...                                                                                        ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                          0.000000e+00   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                                 0.000000e+00   \n",
       "Unused Domestic Extraction - Iron Ore                                             0.000000e+00   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                                0.000000e+00   \n",
       "Land use Crop, Forest, Pasture                                                    3.520809e+03   \n",
       "\n",
       "region                                                                                                                                   \\\n",
       "category                                           Final consumption expenditure by non-profit organisations serving households (NPISH)   \n",
       "impact                                                                                                                                    \n",
       "Value Added                                                                              0.000000e+00                                     \n",
       "Employment                                                                               0.000000e+00                                     \n",
       "Employment hour                                                                          0.000000e+00                                     \n",
       "GHG emissions (GWP100) | Problem oriented appro...                                       6.505816e+08                                     \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                                       9.996592e-01                                     \n",
       "...                                                                                               ...                                     \n",
       "Unused Domestic Extraction - Oil and Gas                                                 0.000000e+00                                     \n",
       "Unused Domestic Extraction - Non-metalic Minerals                                        0.000000e+00                                     \n",
       "Unused Domestic Extraction - Iron Ore                                                    0.000000e+00                                     \n",
       "Unused Domestic Extraction - Non-ferous metal ores                                       0.000000e+00                                     \n",
       "Land use Crop, Forest, Pasture                                                           0.000000e+00                                     \n",
       "\n",
       "region                                                                                          \\\n",
       "category                                           Final consumption expenditure by government   \n",
       "impact                                                                                           \n",
       "Value Added                                                                       0.000000e+00   \n",
       "Employment                                                                        0.000000e+00   \n",
       "Employment hour                                                                   0.000000e+00   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                                2.038664e+09   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                                3.330066e+00   \n",
       "...                                                                                        ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                          0.000000e+00   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                                 0.000000e+00   \n",
       "Unused Domestic Extraction - Iron Ore                                             0.000000e+00   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                                0.000000e+00   \n",
       "Land use Crop, Forest, Pasture                                                    0.000000e+00   \n",
       "\n",
       "region                                              ...  \\\n",
       "category                                            ...   \n",
       "impact                                              ...   \n",
       "Value Added                                         ...   \n",
       "Employment                                          ...   \n",
       "Employment hour                                     ...   \n",
       "GHG emissions (GWP100) | Problem oriented appro...  ...   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...  ...   \n",
       "...                                                 ...   \n",
       "Unused Domestic Extraction - Oil and Gas            ...   \n",
       "Unused Domestic Extraction - Non-metalic Minerals   ...   \n",
       "Unused Domestic Extraction - Iron Ore               ...   \n",
       "Unused Domestic Extraction - Non-ferous metal ores  ...   \n",
       "Land use Crop, Forest, Pasture                      ...   \n",
       "\n",
       "region                                                                 WF  \\\n",
       "category                                           Changes in inventories   \n",
       "impact                                                                      \n",
       "Value Added                                                             0   \n",
       "Employment                                                              0   \n",
       "Employment hour                                                         0   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                      0   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                      0   \n",
       "...                                                                   ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                0   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                       0   \n",
       "Unused Domestic Extraction - Iron Ore                                   0   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                      0   \n",
       "Land use Crop, Forest, Pasture                                          0   \n",
       "\n",
       "region                                                                   \\\n",
       "category                                           Changes in valuables   \n",
       "impact                                                                    \n",
       "Value Added                                                           0   \n",
       "Employment                                                            0   \n",
       "Employment hour                                                       0   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                    0   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                    0   \n",
       "...                                                                 ...   \n",
       "Unused Domestic Extraction - Oil and Gas                              0   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                     0   \n",
       "Unused Domestic Extraction - Iron Ore                                 0   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                    0   \n",
       "Land use Crop, Forest, Pasture                                        0   \n",
       "\n",
       "region                                                                   \\\n",
       "category                                           Exports: Total (fob)   \n",
       "impact                                                                    \n",
       "Value Added                                                           0   \n",
       "Employment                                                            0   \n",
       "Employment hour                                                       0   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                    0   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                    0   \n",
       "...                                                                 ...   \n",
       "Unused Domestic Extraction - Oil and Gas                              0   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                     0   \n",
       "Unused Domestic Extraction - Iron Ore                                 0   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                    0   \n",
       "Land use Crop, Forest, Pasture                                        0   \n",
       "\n",
       "region                                                                                      WM  \\\n",
       "category                                           Final consumption expenditure by households   \n",
       "impact                                                                                           \n",
       "Value Added                                                                       0.000000e+00   \n",
       "Employment                                                                        0.000000e+00   \n",
       "Employment hour                                                                   0.000000e+00   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                                3.666595e+11   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                                3.834699e+03   \n",
       "...                                                                                        ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                          0.000000e+00   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                                 0.000000e+00   \n",
       "Unused Domestic Extraction - Iron Ore                                             0.000000e+00   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                                0.000000e+00   \n",
       "Land use Crop, Forest, Pasture                                                    5.314289e+04   \n",
       "\n",
       "region                                                                                                                                   \\\n",
       "category                                           Final consumption expenditure by non-profit organisations serving households (NPISH)   \n",
       "impact                                                                                                                                    \n",
       "Value Added                                                                              0.000000e+00                                     \n",
       "Employment                                                                               0.000000e+00                                     \n",
       "Employment hour                                                                          0.000000e+00                                     \n",
       "GHG emissions (GWP100) | Problem oriented appro...                                       1.566117e+07                                     \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                                       8.406897e-02                                     \n",
       "...                                                                                               ...                                     \n",
       "Unused Domestic Extraction - Oil and Gas                                                 0.000000e+00                                     \n",
       "Unused Domestic Extraction - Non-metalic Minerals                                        0.000000e+00                                     \n",
       "Unused Domestic Extraction - Iron Ore                                                    0.000000e+00                                     \n",
       "Unused Domestic Extraction - Non-ferous metal ores                                       0.000000e+00                                     \n",
       "Land use Crop, Forest, Pasture                                                           0.000000e+00                                     \n",
       "\n",
       "region                                                                                          \\\n",
       "category                                           Final consumption expenditure by government   \n",
       "impact                                                                                           \n",
       "Value Added                                                                       0.000000e+00   \n",
       "Employment                                                                        0.000000e+00   \n",
       "Employment hour                                                                   0.000000e+00   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                                5.680955e+08   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                                1.967959e+00   \n",
       "...                                                                                        ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                          0.000000e+00   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                                 0.000000e+00   \n",
       "Unused Domestic Extraction - Iron Ore                                             0.000000e+00   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                                0.000000e+00   \n",
       "Land use Crop, Forest, Pasture                                                    0.000000e+00   \n",
       "\n",
       "region                                                                            \\\n",
       "category                                           Gross fixed capital formation   \n",
       "impact                                                                             \n",
       "Value Added                                                                    0   \n",
       "Employment                                                                     0   \n",
       "Employment hour                                                                0   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                             0   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                             0   \n",
       "...                                                                          ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                       0   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                              0   \n",
       "Unused Domestic Extraction - Iron Ore                                          0   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                             0   \n",
       "Land use Crop, Forest, Pasture                                                 0   \n",
       "\n",
       "region                                                                     \\\n",
       "category                                           Changes in inventories   \n",
       "impact                                                                      \n",
       "Value Added                                                             0   \n",
       "Employment                                                              0   \n",
       "Employment hour                                                         0   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                      0   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                      0   \n",
       "...                                                                   ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                0   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                       0   \n",
       "Unused Domestic Extraction - Iron Ore                                   0   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                      0   \n",
       "Land use Crop, Forest, Pasture                                          0   \n",
       "\n",
       "region                                                                   \\\n",
       "category                                           Changes in valuables   \n",
       "impact                                                                    \n",
       "Value Added                                                           0   \n",
       "Employment                                                            0   \n",
       "Employment hour                                                       0   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                    0   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                    0   \n",
       "...                                                                 ...   \n",
       "Unused Domestic Extraction - Oil and Gas                              0   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                     0   \n",
       "Unused Domestic Extraction - Iron Ore                                 0   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                    0   \n",
       "Land use Crop, Forest, Pasture                                        0   \n",
       "\n",
       "region                                                                   \n",
       "category                                           Exports: Total (fob)  \n",
       "impact                                                                   \n",
       "Value Added                                                           0  \n",
       "Employment                                                            0  \n",
       "Employment hour                                                       0  \n",
       "GHG emissions (GWP100) | Problem oriented appro...                    0  \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                    0  \n",
       "...                                                                 ...  \n",
       "Unused Domestic Extraction - Oil and Gas                              0  \n",
       "Unused Domestic Extraction - Non-metalic Minerals                     0  \n",
       "Unused Domestic Extraction - Iron Ore                                 0  \n",
       "Unused Domestic Extraction - Non-ferous metal ores                    0  \n",
       "Land use Crop, Forest, Pasture                                        0  \n",
       "\n",
       "[126 rows x 343 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "F_hh = pd.read_csv('data/IOT_2019_pxp/impacts/F_y.txt', sep='\\t', index_col=[0], header=[0,1])\n",
    "                # index_col=[0], header=[0, 1])  # impacts for FD matrix\n",
    "\n",
    "F_hh"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### 1.2 Look at the available labels in exiobase\n",
    "You may do this by printing the labels of your imported matrices or by opening the following files in your data folder:\n",
    "- finaldemands.txt\n",
    "- products.txt\n",
    "- impacts/unit.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "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",
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       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>impact</th>\n",
       "      <th>unit</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>impact</th>\n",
       "      <th>unit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Value Added</th>\n",
       "      <td>M.EUR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Employment</th>\n",
       "      <td>1000 p.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Employment hour</th>\n",
       "      <td>hr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GHG emissions (GWP100) | Problem oriented approach: baseline (CML, 2001) | GWP100 (IPCC, 2007)</th>\n",
       "      <td>kg CO2 eq.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Human toxicity (USEtox) | USEtox2008 | CTUh (Rosenbaum et al., 2008)</th>\n",
       "      <td>cases</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unused Domestic Extraction - Oil and Gas</th>\n",
       "      <td>kt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unused Domestic Extraction - Non-metalic Minerals</th>\n",
       "      <td>kt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unused Domestic Extraction - Iron Ore</th>\n",
       "      <td>kt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unused Domestic Extraction - Non-ferous metal ores</th>\n",
       "      <td>kt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Land use Crop, Forest, Pasture</th>\n",
       "      <td>km2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>126 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "impact                                                    unit\n",
       "impact                                                    unit\n",
       "Value Added                                              M.EUR\n",
       "Employment                                             1000 p.\n",
       "Employment hour                                             hr\n",
       "GHG emissions (GWP100) | Problem oriented appro...  kg CO2 eq.\n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...       cases\n",
       "...                                                        ...\n",
       "Unused Domestic Extraction - Oil and Gas                    kt\n",
       "Unused Domestic Extraction - Non-metalic Minerals           kt\n",
       "Unused Domestic Extraction - Iron Ore                       kt\n",
       "Unused Domestic Extraction - Non-ferous metal ores          kt\n",
       "Land use Crop, Forest, Pasture                             km2\n",
       "\n",
       "[126 rows x 1 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "units = pd.read_csv('data/IOT_2019_pxp/impacts/unit.txt', sep='\\t',\n",
    "                index_col=[0], header=[0, 0])\n",
    "units"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Since we don't have a file showing all individual regions. \n",
    "Here is a code example of how you can get a list of all the regions within exiobase"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MultiIndex([('AT',                                          'Paddy rice'),\n",
       "            ('AT',                                               'Wheat'),\n",
       "            ('AT',                                   'Cereal grains nec'),\n",
       "            ('AT',                             'Vegetables, fruit, nuts'),\n",
       "            ('AT',                                           'Oil seeds'),\n",
       "            ('AT',                              'Sugar cane, sugar beet'),\n",
       "            ('AT',                                  'Plant-based fibers'),\n",
       "            ('AT',                                           'Crops nec'),\n",
       "            ('AT',                                              'Cattle'),\n",
       "            ('AT',                                                'Pigs'),\n",
       "            ...\n",
       "            ('WM',                       'Paper for treatment: landfill'),\n",
       "            ('WM',               'Plastic waste for treatment: landfill'),\n",
       "            ('WM', 'Inert/metal/hazardous waste for treatment: landfill'),\n",
       "            ('WM',              'Textiles waste for treatment: landfill'),\n",
       "            ('WM',                  'Wood waste for treatment: landfill'),\n",
       "            ('WM',        'Membership organisation services n.e.c. (91)'),\n",
       "            ('WM',   'Recreational, cultural and sporting services (92)'),\n",
       "            ('WM',                                 'Other services (93)'),\n",
       "            ('WM',       'Private households with employed persons (95)'),\n",
       "            ('WM',          'Extra-territorial organizations and bodies')],\n",
       "           names=['region', 'sector'], length=9800)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# First we collect all labels from A\n",
    "A_labels = A.index\n",
    "A_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "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>region</th>\n",
       "      <th>sector</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AT</td>\n",
       "      <td>Paddy rice</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AT</td>\n",
       "      <td>Wheat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AT</td>\n",
       "      <td>Cereal grains nec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AT</td>\n",
       "      <td>Vegetables, fruit, nuts</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AT</td>\n",
       "      <td>Oil seeds</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9795</th>\n",
       "      <td>WM</td>\n",
       "      <td>Membership organisation services n.e.c. (91)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9796</th>\n",
       "      <td>WM</td>\n",
       "      <td>Recreational, cultural and sporting services (92)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9797</th>\n",
       "      <td>WM</td>\n",
       "      <td>Other services (93)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9798</th>\n",
       "      <td>WM</td>\n",
       "      <td>Private households with employed persons (95)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9799</th>\n",
       "      <td>WM</td>\n",
       "      <td>Extra-territorial organizations and bodies</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9800 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     region                                             sector\n",
       "0        AT                                         Paddy rice\n",
       "1        AT                                              Wheat\n",
       "2        AT                                  Cereal grains nec\n",
       "3        AT                            Vegetables, fruit, nuts\n",
       "4        AT                                          Oil seeds\n",
       "...     ...                                                ...\n",
       "9795     WM       Membership organisation services n.e.c. (91)\n",
       "9796     WM  Recreational, cultural and sporting services (92)\n",
       "9797     WM                                Other services (93)\n",
       "9798     WM      Private households with employed persons (95)\n",
       "9799     WM         Extra-territorial organizations and bodies\n",
       "\n",
       "[9800 rows x 2 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# .to_frame to turn the collected labels into a dataframe\n",
    "A_labels_ = A_labels.to_frame(index=None)\n",
    "A_labels_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "A_labels is composed by two columns \"region\" and \"sector\"\n",
    "by doing \n",
    "\n",
    "> A_labels.region \n",
    "\n",
    "or \n",
    "\n",
    "> A_labels.sector \n",
    "\n",
    "you can access the specific columns \n",
    "\n",
    "N.b.\n",
    "it is the equivalent of doing \n",
    "\n",
    "> A_labels.loc[:, \"region\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "How do we know how many regions, sectors or categories do we have available?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     AT\n",
       "1     BE\n",
       "2     BG\n",
       "3     CY\n",
       "4     CZ\n",
       "5     DE\n",
       "6     DK\n",
       "7     EE\n",
       "8     ES\n",
       "9     FI\n",
       "10    FR\n",
       "11    GR\n",
       "12    HR\n",
       "13    HU\n",
       "14    IE\n",
       "15    IT\n",
       "16    LT\n",
       "17    LU\n",
       "18    LV\n",
       "19    MT\n",
       "20    NL\n",
       "21    PL\n",
       "22    PT\n",
       "23    RO\n",
       "24    SE\n",
       "25    SI\n",
       "26    SK\n",
       "27    GB\n",
       "28    US\n",
       "29    JP\n",
       "30    CN\n",
       "31    CA\n",
       "32    KR\n",
       "33    BR\n",
       "34    IN\n",
       "35    MX\n",
       "36    RU\n",
       "37    AU\n",
       "38    CH\n",
       "39    TR\n",
       "40    TW\n",
       "41    NO\n",
       "42    ID\n",
       "43    ZA\n",
       "44    WA\n",
       "45    WL\n",
       "46    WE\n",
       "47    WF\n",
       "48    WM\n",
       "Name: region, dtype: object"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Then we extract region column and eliminate any duplicate labels\n",
    "# We do this because the labels are replicated for each sectoral category in each region\n",
    "regions_labels = A_labels_.region.drop_duplicates().reset_index(drop=True)\n",
    "\n",
    "# We print the regional labels so that we can see the regions we have to work with\n",
    "regions_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "100                             Cement, lime and plaster\n",
       "101    Ash for treatment, Re-processing of ash into c...\n",
       "102                  Other non-metallic mineral products\n",
       "103    Basic iron and steel and of ferro-alloys and f...\n",
       "104    Secondary steel for treatment, Re-processing o...\n",
       "105                                      Precious metals\n",
       "106    Secondary preciuos metals for treatment, Re-pr...\n",
       "107                     Aluminium and aluminium products\n",
       "108    Secondary aluminium for treatment, Re-processi...\n",
       "109              Lead, zinc and tin and products thereof\n",
       "110    Secondary lead for treatment, Re-processing of...\n",
       "111                                      Copper products\n",
       "112    Secondary copper for treatment, Re-processing ...\n",
       "113                     Other non-ferrous metal products\n",
       "114    Secondary other non-ferrous metals for treatme...\n",
       "115                                Foundry work services\n",
       "116    Fabricated metal products, except machinery an...\n",
       "117                  Machinery and equipment n.e.c. (29)\n",
       "118                  Office machinery and computers (30)\n",
       "119       Electrical machinery and apparatus n.e.c. (31)\n",
       "120    Radio, television and communication equipment ...\n",
       "121    Medical, precision and optical instruments, wa...\n",
       "122      Motor vehicles, trailers and semi-trailers (34)\n",
       "123                       Other transport equipment (35)\n",
       "124      Furniture; other manufactured goods n.e.c. (36)\n",
       "125                              Secondary raw materials\n",
       "126    Bottles for treatment, Recycling of bottles by...\n",
       "127                                  Electricity by coal\n",
       "128                                   Electricity by gas\n",
       "129                               Electricity by nuclear\n",
       "130                                 Electricity by hydro\n",
       "131                                  Electricity by wind\n",
       "132    Electricity by petroleum and other oil derivat...\n",
       "133                     Electricity by biomass and waste\n",
       "134                    Electricity by solar photovoltaic\n",
       "135                         Electricity by solar thermal\n",
       "136                     Electricity by tide, wave, ocean\n",
       "137                            Electricity by Geothermal\n",
       "138                                      Electricity nec\n",
       "139                 Transmission services of electricity\n",
       "140       Distribution and trade services of electricity\n",
       "141                                        Coke oven gas\n",
       "142                                    Blast Furnace Gas\n",
       "143                             Oxygen Steel Furnace Gas\n",
       "144                                        Gas Works Gas\n",
       "145                                               Biogas\n",
       "146    Distribution services of gaseous fuels through...\n",
       "147                  Steam and hot water supply services\n",
       "148    Collected and purified water, distribution ser...\n",
       "149                               Construction work (45)\n",
       "Name: sector, dtype: object"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sectors_labels = A_labels_.sector.drop_duplicates()\n",
    "\n",
    "# Print your labels to analyse them (remember .to_frame)\n",
    "sectors_labels.iloc[100:150]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Exercise 2: Calculate the rest of the IO variables (I, L, x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### 2.1 First we calculate the Leontief inverse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "I = np.identity(A.shape[0]) # A.shape[1] is the total number of columns in the A matrix\n",
    "L = np.linalg.inv(I-A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### 2.2 We calculate our product output x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(9800,)\n",
      "[    0.           359.79773658   864.54809943 ... 35533.35519031\n",
      "  6245.82863651     0.        ]\n"
     ]
    }
   ],
   "source": [
    "x = L@Y.sum(axis=1)\n",
    "\n",
    "# A check to see whether the resulting x is right\n",
    "print(x.shape)\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Exercise 3: Create a matrix of extension intensities \n",
    "\n",
    "When working with real data, you will find cases in which the produt output vector x contains 0's \n",
    "\n",
    "If you try to invert the diagonalized product output, it will tell you that you cannot invert a Singular matrix.\n",
    "\n",
    "There are various reasons why a matrix may be singular but in our case it is due to the fact that not all values are non-zeros\n",
    "\n",
    "You may then be tempted to perform 1/x, however, this may results in several divisions by 0's and the resulting matrix will be filled with NaN values or inf values.\n",
    "\n",
    "One way to get around this: Divide 1 by the values that are non-0 as shown in the following example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "# we make a copy of our product output vector\n",
    "x_inv = x.copy() \n",
    "\n",
    "# we divide 1 by the values that are non-0\n",
    "x_inv[x_inv!=0] = 1/x_inv[x_inv!=0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "We calculate our intensities (i.e., extension coefficients)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>region</th>\n",
       "      <th colspan=\"10\" halign=\"left\">AT</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"10\" halign=\"left\">WM</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sector</th>\n",
       "      <th>Paddy rice</th>\n",
       "      <th>Wheat</th>\n",
       "      <th>Cereal grains nec</th>\n",
       "      <th>Vegetables, fruit, nuts</th>\n",
       "      <th>Oil seeds</th>\n",
       "      <th>Sugar cane, sugar beet</th>\n",
       "      <th>Plant-based fibers</th>\n",
       "      <th>Crops nec</th>\n",
       "      <th>Cattle</th>\n",
       "      <th>Pigs</th>\n",
       "      <th>...</th>\n",
       "      <th>Paper for treatment: landfill</th>\n",
       "      <th>Plastic waste for treatment: landfill</th>\n",
       "      <th>Inert/metal/hazardous waste for treatment: landfill</th>\n",
       "      <th>Textiles waste for treatment: landfill</th>\n",
       "      <th>Wood waste for treatment: landfill</th>\n",
       "      <th>Membership organisation services n.e.c. (91)</th>\n",
       "      <th>Recreational, cultural and sporting services (92)</th>\n",
       "      <th>Other services (93)</th>\n",
       "      <th>Private households with employed persons (95)</th>\n",
       "      <th>Extra-territorial organizations and bodies</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>impact</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Value Added</th>\n",
       "      <td>0.0</td>\n",
       "      <td>6.758705e-01</td>\n",
       "      <td>0.742589</td>\n",
       "      <td>0.690073</td>\n",
       "      <td>8.318040e-01</td>\n",
       "      <td>5.240212e-01</td>\n",
       "      <td>0.931297</td>\n",
       "      <td>0.548421</td>\n",
       "      <td>3.762497e-03</td>\n",
       "      <td>0.471794</td>\n",
       "      <td>...</td>\n",
       "      <td>3.764269e-01</td>\n",
       "      <td>3.512124e-01</td>\n",
       "      <td>0.389520</td>\n",
       "      <td>3.828206e-01</td>\n",
       "      <td>3.538083e-01</td>\n",
       "      <td>0.479711</td>\n",
       "      <td>0.535663</td>\n",
       "      <td>0.550831</td>\n",
       "      <td>0.717995</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Employment</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2.162651e-02</td>\n",
       "      <td>0.016105</td>\n",
       "      <td>0.022381</td>\n",
       "      <td>2.495181e-02</td>\n",
       "      <td>2.528435e-02</td>\n",
       "      <td>0.000603</td>\n",
       "      <td>0.003960</td>\n",
       "      <td>3.848932e-02</td>\n",
       "      <td>0.024352</td>\n",
       "      <td>...</td>\n",
       "      <td>5.706826e-03</td>\n",
       "      <td>7.018623e-03</td>\n",
       "      <td>0.005744</td>\n",
       "      <td>8.103717e-03</td>\n",
       "      <td>7.628601e-03</td>\n",
       "      <td>0.007756</td>\n",
       "      <td>0.006710</td>\n",
       "      <td>0.005708</td>\n",
       "      <td>0.014335</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Employment hour</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4.759831e+04</td>\n",
       "      <td>36782.612201</td>\n",
       "      <td>50517.645427</td>\n",
       "      <td>5.897691e+04</td>\n",
       "      <td>6.203679e+04</td>\n",
       "      <td>1484.470666</td>\n",
       "      <td>8962.473079</td>\n",
       "      <td>9.796496e+04</td>\n",
       "      <td>59816.871185</td>\n",
       "      <td>...</td>\n",
       "      <td>1.532442e+04</td>\n",
       "      <td>1.884651e+04</td>\n",
       "      <td>15059.926003</td>\n",
       "      <td>2.116965e+04</td>\n",
       "      <td>1.957432e+04</td>\n",
       "      <td>21628.179545</td>\n",
       "      <td>18372.663175</td>\n",
       "      <td>15610.512899</td>\n",
       "      <td>40895.270100</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GHG emissions (GWP100) | Problem oriented approach: baseline (CML, 2001) | GWP100 (IPCC, 2007)</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.690932e+06</td>\n",
       "      <td>935119.414396</td>\n",
       "      <td>181589.602023</td>\n",
       "      <td>1.301896e+06</td>\n",
       "      <td>1.649214e+06</td>\n",
       "      <td>347941.086195</td>\n",
       "      <td>957782.044611</td>\n",
       "      <td>4.970012e+06</td>\n",
       "      <td>465137.987386</td>\n",
       "      <td>...</td>\n",
       "      <td>2.023481e+07</td>\n",
       "      <td>1.390853e+06</td>\n",
       "      <td>172467.064319</td>\n",
       "      <td>8.445838e+06</td>\n",
       "      <td>1.851824e+06</td>\n",
       "      <td>24267.534015</td>\n",
       "      <td>57159.204690</td>\n",
       "      <td>147562.200164</td>\n",
       "      <td>10687.150229</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Human toxicity (USEtox) | USEtox2008 | CTUh (Rosenbaum et al., 2008)</th>\n",
       "      <td>0.0</td>\n",
       "      <td>6.446307e-03</td>\n",
       "      <td>0.002427</td>\n",
       "      <td>0.000605</td>\n",
       "      <td>3.198484e-03</td>\n",
       "      <td>1.566391e-03</td>\n",
       "      <td>0.000049</td>\n",
       "      <td>0.000911</td>\n",
       "      <td>2.602296e-03</td>\n",
       "      <td>0.001573</td>\n",
       "      <td>...</td>\n",
       "      <td>8.941858e-02</td>\n",
       "      <td>9.517493e-02</td>\n",
       "      <td>0.141794</td>\n",
       "      <td>1.236203e-01</td>\n",
       "      <td>1.049235e-01</td>\n",
       "      <td>0.008565</td>\n",
       "      <td>0.008359</td>\n",
       "      <td>0.021177</td>\n",
       "      <td>0.000168</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unused Domestic Extraction - Oil and Gas</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unused Domestic Extraction - Non-metalic Minerals</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unused Domestic Extraction - Iron Ore</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unused Domestic Extraction - Non-ferous metal ores</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Land use Crop, Forest, Pasture</th>\n",
       "      <td>0.0</td>\n",
       "      <td>7.079127e+00</td>\n",
       "      <td>4.918618</td>\n",
       "      <td>0.926486</td>\n",
       "      <td>9.350419e+00</td>\n",
       "      <td>3.322742e+00</td>\n",
       "      <td>1.669279</td>\n",
       "      <td>0.336450</td>\n",
       "      <td>1.905738e+01</td>\n",
       "      <td>0.120546</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>126 rows × 9800 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "region                                                     AT                \\\n",
       "sector                                             Paddy rice         Wheat   \n",
       "impact                                                                        \n",
       "Value Added                                               0.0  6.758705e-01   \n",
       "Employment                                                0.0  2.162651e-02   \n",
       "Employment hour                                           0.0  4.759831e+04   \n",
       "GHG emissions (GWP100) | Problem oriented appro...        0.0  1.690932e+06   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...        0.0  6.446307e-03   \n",
       "...                                                       ...           ...   \n",
       "Unused Domestic Extraction - Oil and Gas                  0.0  0.000000e+00   \n",
       "Unused Domestic Extraction - Non-metalic Minerals         0.0  0.000000e+00   \n",
       "Unused Domestic Extraction - Iron Ore                     0.0  0.000000e+00   \n",
       "Unused Domestic Extraction - Non-ferous metal ores        0.0  0.000000e+00   \n",
       "Land use Crop, Forest, Pasture                            0.0  7.079127e+00   \n",
       "\n",
       "region                                                                \\\n",
       "sector                                             Cereal grains nec   \n",
       "impact                                                                 \n",
       "Value Added                                                 0.742589   \n",
       "Employment                                                  0.016105   \n",
       "Employment hour                                         36782.612201   \n",
       "GHG emissions (GWP100) | Problem oriented appro...     935119.414396   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...          0.002427   \n",
       "...                                                              ...   \n",
       "Unused Domestic Extraction - Oil and Gas                    0.000000   \n",
       "Unused Domestic Extraction - Non-metalic Minerals           0.000000   \n",
       "Unused Domestic Extraction - Iron Ore                       0.000000   \n",
       "Unused Domestic Extraction - Non-ferous metal ores          0.000000   \n",
       "Land use Crop, Forest, Pasture                              4.918618   \n",
       "\n",
       "region                                                                      \\\n",
       "sector                                             Vegetables, fruit, nuts   \n",
       "impact                                                                       \n",
       "Value Added                                                       0.690073   \n",
       "Employment                                                        0.022381   \n",
       "Employment hour                                               50517.645427   \n",
       "GHG emissions (GWP100) | Problem oriented appro...           181589.602023   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                0.000605   \n",
       "...                                                                    ...   \n",
       "Unused Domestic Extraction - Oil and Gas                          0.000000   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                 0.000000   \n",
       "Unused Domestic Extraction - Iron Ore                             0.000000   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                0.000000   \n",
       "Land use Crop, Forest, Pasture                                    0.926486   \n",
       "\n",
       "region                                                            \\\n",
       "sector                                                 Oil seeds   \n",
       "impact                                                             \n",
       "Value Added                                         8.318040e-01   \n",
       "Employment                                          2.495181e-02   \n",
       "Employment hour                                     5.897691e+04   \n",
       "GHG emissions (GWP100) | Problem oriented appro...  1.301896e+06   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...  3.198484e-03   \n",
       "...                                                          ...   \n",
       "Unused Domestic Extraction - Oil and Gas            0.000000e+00   \n",
       "Unused Domestic Extraction - Non-metalic Minerals   0.000000e+00   \n",
       "Unused Domestic Extraction - Iron Ore               0.000000e+00   \n",
       "Unused Domestic Extraction - Non-ferous metal ores  0.000000e+00   \n",
       "Land use Crop, Forest, Pasture                      9.350419e+00   \n",
       "\n",
       "region                                                                     \\\n",
       "sector                                             Sugar cane, sugar beet   \n",
       "impact                                                                      \n",
       "Value Added                                                  5.240212e-01   \n",
       "Employment                                                   2.528435e-02   \n",
       "Employment hour                                              6.203679e+04   \n",
       "GHG emissions (GWP100) | Problem oriented appro...           1.649214e+06   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...           1.566391e-03   \n",
       "...                                                                   ...   \n",
       "Unused Domestic Extraction - Oil and Gas                     0.000000e+00   \n",
       "Unused Domestic Extraction - Non-metalic Minerals            0.000000e+00   \n",
       "Unused Domestic Extraction - Iron Ore                        0.000000e+00   \n",
       "Unused Domestic Extraction - Non-ferous metal ores           0.000000e+00   \n",
       "Land use Crop, Forest, Pasture                               3.322742e+00   \n",
       "\n",
       "region                                                                 \\\n",
       "sector                                             Plant-based fibers   \n",
       "impact                                                                  \n",
       "Value Added                                                  0.931297   \n",
       "Employment                                                   0.000603   \n",
       "Employment hour                                           1484.470666   \n",
       "GHG emissions (GWP100) | Problem oriented appro...      347941.086195   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...           0.000049   \n",
       "...                                                               ...   \n",
       "Unused Domestic Extraction - Oil and Gas                     0.000000   \n",
       "Unused Domestic Extraction - Non-metalic Minerals            0.000000   \n",
       "Unused Domestic Extraction - Iron Ore                        0.000000   \n",
       "Unused Domestic Extraction - Non-ferous metal ores           0.000000   \n",
       "Land use Crop, Forest, Pasture                               1.669279   \n",
       "\n",
       "region                                                             \\\n",
       "sector                                                  Crops nec   \n",
       "impact                                                              \n",
       "Value Added                                              0.548421   \n",
       "Employment                                               0.003960   \n",
       "Employment hour                                       8962.473079   \n",
       "GHG emissions (GWP100) | Problem oriented appro...  957782.044611   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...       0.000911   \n",
       "...                                                           ...   \n",
       "Unused Domestic Extraction - Oil and Gas                 0.000000   \n",
       "Unused Domestic Extraction - Non-metalic Minerals        0.000000   \n",
       "Unused Domestic Extraction - Iron Ore                    0.000000   \n",
       "Unused Domestic Extraction - Non-ferous metal ores       0.000000   \n",
       "Land use Crop, Forest, Pasture                           0.336450   \n",
       "\n",
       "region                                                            \\\n",
       "sector                                                    Cattle   \n",
       "impact                                                             \n",
       "Value Added                                         3.762497e-03   \n",
       "Employment                                          3.848932e-02   \n",
       "Employment hour                                     9.796496e+04   \n",
       "GHG emissions (GWP100) | Problem oriented appro...  4.970012e+06   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...  2.602296e-03   \n",
       "...                                                          ...   \n",
       "Unused Domestic Extraction - Oil and Gas            0.000000e+00   \n",
       "Unused Domestic Extraction - Non-metalic Minerals   0.000000e+00   \n",
       "Unused Domestic Extraction - Iron Ore               0.000000e+00   \n",
       "Unused Domestic Extraction - Non-ferous metal ores  0.000000e+00   \n",
       "Land use Crop, Forest, Pasture                      1.905738e+01   \n",
       "\n",
       "region                                                             ...  \\\n",
       "sector                                                       Pigs  ...   \n",
       "impact                                                             ...   \n",
       "Value Added                                              0.471794  ...   \n",
       "Employment                                               0.024352  ...   \n",
       "Employment hour                                      59816.871185  ...   \n",
       "GHG emissions (GWP100) | Problem oriented appro...  465137.987386  ...   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...       0.001573  ...   \n",
       "...                                                           ...  ...   \n",
       "Unused Domestic Extraction - Oil and Gas                 0.000000  ...   \n",
       "Unused Domestic Extraction - Non-metalic Minerals        0.000000  ...   \n",
       "Unused Domestic Extraction - Iron Ore                    0.000000  ...   \n",
       "Unused Domestic Extraction - Non-ferous metal ores       0.000000  ...   \n",
       "Land use Crop, Forest, Pasture                           0.120546  ...   \n",
       "\n",
       "region                                                                        WM  \\\n",
       "sector                                             Paper for treatment: landfill   \n",
       "impact                                                                             \n",
       "Value Added                                                         3.764269e-01   \n",
       "Employment                                                          5.706826e-03   \n",
       "Employment hour                                                     1.532442e+04   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                  2.023481e+07   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                  8.941858e-02   \n",
       "...                                                                          ...   \n",
       "Unused Domestic Extraction - Oil and Gas                            0.000000e+00   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                   0.000000e+00   \n",
       "Unused Domestic Extraction - Iron Ore                               0.000000e+00   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                  0.000000e+00   \n",
       "Land use Crop, Forest, Pasture                                      0.000000e+00   \n",
       "\n",
       "region                                                                                    \\\n",
       "sector                                             Plastic waste for treatment: landfill   \n",
       "impact                                                                                     \n",
       "Value Added                                                                 3.512124e-01   \n",
       "Employment                                                                  7.018623e-03   \n",
       "Employment hour                                                             1.884651e+04   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                          1.390853e+06   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                          9.517493e-02   \n",
       "...                                                                                  ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                    0.000000e+00   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                           0.000000e+00   \n",
       "Unused Domestic Extraction - Iron Ore                                       0.000000e+00   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                          0.000000e+00   \n",
       "Land use Crop, Forest, Pasture                                              0.000000e+00   \n",
       "\n",
       "region                                                                                                  \\\n",
       "sector                                             Inert/metal/hazardous waste for treatment: landfill   \n",
       "impact                                                                                                   \n",
       "Value Added                                                                                  0.389520    \n",
       "Employment                                                                                   0.005744    \n",
       "Employment hour                                                                          15059.926003    \n",
       "GHG emissions (GWP100) | Problem oriented appro...                                      172467.064319    \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                                           0.141794    \n",
       "...                                                                                               ...    \n",
       "Unused Domestic Extraction - Oil and Gas                                                     0.000000    \n",
       "Unused Domestic Extraction - Non-metalic Minerals                                            0.000000    \n",
       "Unused Domestic Extraction - Iron Ore                                                        0.000000    \n",
       "Unused Domestic Extraction - Non-ferous metal ores                                           0.000000    \n",
       "Land use Crop, Forest, Pasture                                                               0.000000    \n",
       "\n",
       "region                                                                                     \\\n",
       "sector                                             Textiles waste for treatment: landfill   \n",
       "impact                                                                                      \n",
       "Value Added                                                                  3.828206e-01   \n",
       "Employment                                                                   8.103717e-03   \n",
       "Employment hour                                                              2.116965e+04   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                           8.445838e+06   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                           1.236203e-01   \n",
       "...                                                                                   ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                     0.000000e+00   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                            0.000000e+00   \n",
       "Unused Domestic Extraction - Iron Ore                                        0.000000e+00   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                           0.000000e+00   \n",
       "Land use Crop, Forest, Pasture                                               0.000000e+00   \n",
       "\n",
       "region                                                                                 \\\n",
       "sector                                             Wood waste for treatment: landfill   \n",
       "impact                                                                                  \n",
       "Value Added                                                              3.538083e-01   \n",
       "Employment                                                               7.628601e-03   \n",
       "Employment hour                                                          1.957432e+04   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                       1.851824e+06   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                       1.049235e-01   \n",
       "...                                                                               ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                 0.000000e+00   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                        0.000000e+00   \n",
       "Unused Domestic Extraction - Iron Ore                                    0.000000e+00   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                       0.000000e+00   \n",
       "Land use Crop, Forest, Pasture                                           0.000000e+00   \n",
       "\n",
       "region                                                                                           \\\n",
       "sector                                             Membership organisation services n.e.c. (91)   \n",
       "impact                                                                                            \n",
       "Value Added                                                                            0.479711   \n",
       "Employment                                                                             0.007756   \n",
       "Employment hour                                                                    21628.179545   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                                 24267.534015   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                                     0.008565   \n",
       "...                                                                                         ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                               0.000000   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                                      0.000000   \n",
       "Unused Domestic Extraction - Iron Ore                                                  0.000000   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                                     0.000000   \n",
       "Land use Crop, Forest, Pasture                                                         0.000000   \n",
       "\n",
       "region                                                                                                \\\n",
       "sector                                             Recreational, cultural and sporting services (92)   \n",
       "impact                                                                                                 \n",
       "Value Added                                                                                 0.535663   \n",
       "Employment                                                                                  0.006710   \n",
       "Employment hour                                                                         18372.663175   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                                      57159.204690   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                                          0.008359   \n",
       "...                                                                                              ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                                    0.000000   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                                           0.000000   \n",
       "Unused Domestic Extraction - Iron Ore                                                       0.000000   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                                          0.000000   \n",
       "Land use Crop, Forest, Pasture                                                              0.000000   \n",
       "\n",
       "region                                                                  \\\n",
       "sector                                             Other services (93)   \n",
       "impact                                                                   \n",
       "Value Added                                                   0.550831   \n",
       "Employment                                                    0.005708   \n",
       "Employment hour                                           15610.512899   \n",
       "GHG emissions (GWP100) | Problem oriented appro...       147562.200164   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...            0.021177   \n",
       "...                                                                ...   \n",
       "Unused Domestic Extraction - Oil and Gas                      0.000000   \n",
       "Unused Domestic Extraction - Non-metalic Minerals             0.000000   \n",
       "Unused Domestic Extraction - Iron Ore                         0.000000   \n",
       "Unused Domestic Extraction - Non-ferous metal ores            0.000000   \n",
       "Land use Crop, Forest, Pasture                                0.000000   \n",
       "\n",
       "region                                                                                            \\\n",
       "sector                                             Private households with employed persons (95)   \n",
       "impact                                                                                             \n",
       "Value Added                                                                             0.717995   \n",
       "Employment                                                                              0.014335   \n",
       "Employment hour                                                                     40895.270100   \n",
       "GHG emissions (GWP100) | Problem oriented appro...                                  10687.150229   \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                                      0.000168   \n",
       "...                                                                                          ...   \n",
       "Unused Domestic Extraction - Oil and Gas                                                0.000000   \n",
       "Unused Domestic Extraction - Non-metalic Minerals                                       0.000000   \n",
       "Unused Domestic Extraction - Iron Ore                                                   0.000000   \n",
       "Unused Domestic Extraction - Non-ferous metal ores                                      0.000000   \n",
       "Land use Crop, Forest, Pasture                                                          0.000000   \n",
       "\n",
       "region                                                                                         \n",
       "sector                                             Extra-territorial organizations and bodies  \n",
       "impact                                                                                         \n",
       "Value Added                                                                               0.0  \n",
       "Employment                                                                                0.0  \n",
       "Employment hour                                                                           0.0  \n",
       "GHG emissions (GWP100) | Problem oriented appro...                                        0.0  \n",
       "Human toxicity (USEtox) | USEtox2008 | CTUh (Ro...                                        0.0  \n",
       "...                                                                                       ...  \n",
       "Unused Domestic Extraction - Oil and Gas                                                  0.0  \n",
       "Unused Domestic Extraction - Non-metalic Minerals                                         0.0  \n",
       "Unused Domestic Extraction - Iron Ore                                                     0.0  \n",
       "Unused Domestic Extraction - Non-ferous metal ores                                        0.0  \n",
       "Land use Crop, Forest, Pasture                                                            0.0  \n",
       "\n",
       "[126 rows x 9800 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We are essentially dividing the total extension by the product output\n",
    "# This gives us coefficients of extension by unit of output (e.g., kg/euro)\n",
    "f = F * x_inv\n",
    "\n",
    "f"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "N.b. inverting a matrix is a more complex operation than just dividing 1 by the values in your matrix. \n",
    "\n",
    "However, in the case of a diagonalized vector with non-zero values along the diagonal 1/diag(x) and inv(diag(x)) output the same results. \n",
    "\n",
    "If you have zero's in x vector to be diagonalized then you will not be able to perform the inversion.    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Exercise 4: Total footprint of the Netherlands\n",
    "\n",
    "\n",
    "- *What is the total carbon footprint of the Netherlands?*\n",
    "\n",
    "\n",
    "$\\text{F} = \\text{f} \\mathbf{L}\\text{Y} + \\text{F}_{hh}$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### 4.1 We first create a (modified) final demand matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "4.1.1 Lets identify the range of the Y columns concerning the Netherlands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "# we know NL is the 20th country (python counting starting from 0) in the list of countries \n",
    "# and that we have 7 final demand categories, therefore\n",
    "\n",
    "start_NL = 20*7 + 0\n",
    "end_NL = 20*7 + 7"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "4.1.2 We calculate the modified Y"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "You can slice your Y by using pandas iloc method \n",
    "\n",
    "> Y.iloc[:,start_NL:end_NL]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>region</th>\n",
       "      <th colspan=\"7\" halign=\"left\">NL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
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       "      <th>Gross fixed capital formation</th>\n",
       "      <th>Changes in inventories</th>\n",
       "      <th>Changes in valuables</th>\n",
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       "      <th>region</th>\n",
       "      <th>sector</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">AT</th>\n",
       "      <th>Paddy rice</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wheat</th>\n",
       "      <td>8.109941e-01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.153646e-03</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cereal grains nec</th>\n",
       "      <td>7.538257e-01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.300348e-03</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vegetables, fruit, nuts</th>\n",
       "      <td>3.635396e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oil seeds</th>\n",
       "      <td>3.967363e-09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.376648e-10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">WM</th>\n",
       "      <th>Membership organisation services n.e.c. (91)</th>\n",
       "      <td>1.313962e-03</td>\n",
       "      <td>0.252829</td>\n",
       "      <td>0.001086</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Recreational, cultural and sporting services (92)</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.747362</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.507680e-03</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other services (93)</th>\n",
       "      <td>1.449982e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Private households with employed persons (95)</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Extra-territorial organizations and bodies</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9800 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "region                                                                                            NL  \\\n",
       "category                                                 Final consumption expenditure by households   \n",
       "region sector                                                                                          \n",
       "AT     Paddy rice                                                                       0.000000e+00   \n",
       "       Wheat                                                                            8.109941e-01   \n",
       "       Cereal grains nec                                                                7.538257e-01   \n",
       "       Vegetables, fruit, nuts                                                          3.635396e+00   \n",
       "       Oil seeds                                                                        3.967363e-09   \n",
       "...                                                                                              ...   \n",
       "WM     Membership organisation services n.e.c. (91)                                     1.313962e-03   \n",
       "       Recreational, cultural and sporting services (92)                                0.000000e+00   \n",
       "       Other services (93)                                                              1.449982e+00   \n",
       "       Private households with employed persons (95)                                    0.000000e+00   \n",
       "       Extra-territorial organizations and bodies                                       0.000000e+00   \n",
       "\n",
       "region                                                                                                                                         \\\n",
       "category                                                 Final consumption expenditure by non-profit organisations serving households (NPISH)   \n",
       "region sector                                                                                                                                   \n",
       "AT     Paddy rice                                                                                  0.000000                                     \n",
       "       Wheat                                                                                       0.000000                                     \n",
       "       Cereal grains nec                                                                           0.000000                                     \n",
       "       Vegetables, fruit, nuts                                                                     0.000000                                     \n",
       "       Oil seeds                                                                                   0.000000                                     \n",
       "...                                                                                                     ...                                     \n",
       "WM     Membership organisation services n.e.c. (91)                                                0.252829                                     \n",
       "       Recreational, cultural and sporting services (92)                                           0.747362                                     \n",
       "       Other services (93)                                                                         0.000000                                     \n",
       "       Private households with employed persons (95)                                               0.000000                                     \n",
       "       Extra-territorial organizations and bodies                                                  0.000000                                     \n",
       "\n",
       "region                                                                                                \\\n",
       "category                                                 Final consumption expenditure by government   \n",
       "region sector                                                                                          \n",
       "AT     Paddy rice                                                                           0.000000   \n",
       "       Wheat                                                                                0.000000   \n",
       "       Cereal grains nec                                                                    0.000000   \n",
       "       Vegetables, fruit, nuts                                                              0.000000   \n",
       "       Oil seeds                                                                            0.000000   \n",
       "...                                                                                              ...   \n",
       "WM     Membership organisation services n.e.c. (91)                                         0.001086   \n",
       "       Recreational, cultural and sporting services (92)                                    0.000000   \n",
       "       Other services (93)                                                                  0.000000   \n",
       "       Private households with employed persons (95)                                        0.000000   \n",
       "       Extra-territorial organizations and bodies                                           0.000000   \n",
       "\n",
       "region                                                                                  \\\n",
       "category                                                 Gross fixed capital formation   \n",
       "region sector                                                                            \n",
       "AT     Paddy rice                                                                  0.0   \n",
       "       Wheat                                                                       0.0   \n",
       "       Cereal grains nec                                                           0.0   \n",
       "       Vegetables, fruit, nuts                                                     0.0   \n",
       "       Oil seeds                                                                   0.0   \n",
       "...                                                                                ...   \n",
       "WM     Membership organisation services n.e.c. (91)                                0.0   \n",
       "       Recreational, cultural and sporting services (92)                           0.0   \n",
       "       Other services (93)                                                         0.0   \n",
       "       Private households with employed persons (95)                               0.0   \n",
       "       Extra-territorial organizations and bodies                                  0.0   \n",
       "\n",
       "region                                                                           \\\n",
       "category                                                 Changes in inventories   \n",
       "region sector                                                                     \n",
       "AT     Paddy rice                                                  0.000000e+00   \n",
       "       Wheat                                                       6.153646e-03   \n",
       "       Cereal grains nec                                           2.300348e-03   \n",
       "       Vegetables, fruit, nuts                                     0.000000e+00   \n",
       "       Oil seeds                                                   2.376648e-10   \n",
       "...                                                                         ...   \n",
       "WM     Membership organisation services n.e.c. (91)                0.000000e+00   \n",
       "       Recreational, cultural and sporting services (92)           4.507680e-03   \n",
       "       Other services (93)                                         0.000000e+00   \n",
       "       Private households with employed persons (95)               0.000000e+00   \n",
       "       Extra-territorial organizations and bodies                  0.000000e+00   \n",
       "\n",
       "region                                                                         \\\n",
       "category                                                 Changes in valuables   \n",
       "region sector                                                                   \n",
       "AT     Paddy rice                                                           0   \n",
       "       Wheat                                                                0   \n",
       "       Cereal grains nec                                                    0   \n",
       "       Vegetables, fruit, nuts                                              0   \n",
       "       Oil seeds                                                            0   \n",
       "...                                                                       ...   \n",
       "WM     Membership organisation services n.e.c. (91)                         0   \n",
       "       Recreational, cultural and sporting services (92)                    0   \n",
       "       Other services (93)                                                  0   \n",
       "       Private households with employed persons (95)                        0   \n",
       "       Extra-territorial organizations and bodies                           0   \n",
       "\n",
       "region                                                                         \n",
       "category                                                 Exports: Total (fob)  \n",
       "region sector                                                                  \n",
       "AT     Paddy rice                                                           0  \n",
       "       Wheat                                                                0  \n",
       "       Cereal grains nec                                                    0  \n",
       "       Vegetables, fruit, nuts                                              0  \n",
       "       Oil seeds                                                            0  \n",
       "...                                                                       ...  \n",
       "WM     Membership organisation services n.e.c. (91)                         0  \n",
       "       Recreational, cultural and sporting services (92)                    0  \n",
       "       Other services (93)                                                  0  \n",
       "       Private households with employed persons (95)                        0  \n",
       "       Extra-territorial organizations and bodies                           0  \n",
       "\n",
       "[9800 rows x 7 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y_mod = Y.iloc[: , start_NL:end_NL]\n",
    "Y_mod"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Or by using the labels through pandas loc method\n",
    "\n",
    "> Y.loc[:, \"NL\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>category</th>\n",
       "      <th>Final consumption expenditure by households</th>\n",
       "      <th>Final consumption expenditure by non-profit organisations serving households (NPISH)</th>\n",
       "      <th>Final consumption expenditure by government</th>\n",
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       "      <th>region</th>\n",
       "      <th>sector</th>\n",
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       "  <tbody>\n",
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       "      <th rowspan=\"5\" valign=\"top\">AT</th>\n",
       "      <th>Paddy rice</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
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       "      <td>8.109941e-01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.153646e-03</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>Cereal grains nec</th>\n",
       "      <td>7.538257e-01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.300348e-03</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>Vegetables, fruit, nuts</th>\n",
       "      <td>3.635396e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>Oil seeds</th>\n",
       "      <td>3.967363e-09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.376648e-10</td>\n",
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       "      <th rowspan=\"5\" valign=\"top\">WM</th>\n",
       "      <th>Membership organisation services n.e.c. (91)</th>\n",
       "      <td>1.313962e-03</td>\n",
       "      <td>0.252829</td>\n",
       "      <td>0.001086</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Recreational, cultural and sporting services (92)</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.747362</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.507680e-03</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other services (93)</th>\n",
       "      <td>1.449982e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>Private households with employed persons (95)</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <th>Extra-territorial organizations and bodies</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9800 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "category                                                  Final consumption expenditure by households  \\\n",
       "region sector                                                                                           \n",
       "AT     Paddy rice                                                                        0.000000e+00   \n",
       "       Wheat                                                                             8.109941e-01   \n",
       "       Cereal grains nec                                                                 7.538257e-01   \n",
       "       Vegetables, fruit, nuts                                                           3.635396e+00   \n",
       "       Oil seeds                                                                         3.967363e-09   \n",
       "...                                                                                               ...   \n",
       "WM     Membership organisation services n.e.c. (91)                                      1.313962e-03   \n",
       "       Recreational, cultural and sporting services (92)                                 0.000000e+00   \n",
       "       Other services (93)                                                               1.449982e+00   \n",
       "       Private households with employed persons (95)                                     0.000000e+00   \n",
       "       Extra-territorial organizations and bodies                                        0.000000e+00   \n",
       "\n",
       "category                                                  Final consumption expenditure by non-profit organisations serving households (NPISH)  \\\n",
       "region sector                                                                                                                                    \n",
       "AT     Paddy rice                                                                                  0.000000                                      \n",
       "       Wheat                                                                                       0.000000                                      \n",
       "       Cereal grains nec                                                                           0.000000                                      \n",
       "       Vegetables, fruit, nuts                                                                     0.000000                                      \n",
       "       Oil seeds                                                                                   0.000000                                      \n",
       "...                                                                                                     ...                                      \n",
       "WM     Membership organisation services n.e.c. (91)                                                0.252829                                      \n",
       "       Recreational, cultural and sporting services (92)                                           0.747362                                      \n",
       "       Other services (93)                                                                         0.000000                                      \n",
       "       Private households with employed persons (95)                                               0.000000                                      \n",
       "       Extra-territorial organizations and bodies                                                  0.000000                                      \n",
       "\n",
       "category                                                  Final consumption expenditure by government  \\\n",
       "region sector                                                                                           \n",
       "AT     Paddy rice                                                                            0.000000   \n",
       "       Wheat                                                                                 0.000000   \n",
       "       Cereal grains nec                                                                     0.000000   \n",
       "       Vegetables, fruit, nuts                                                               0.000000   \n",
       "       Oil seeds                                                                             0.000000   \n",
       "...                                                                                               ...   \n",
       "WM     Membership organisation services n.e.c. (91)                                          0.001086   \n",
       "       Recreational, cultural and sporting services (92)                                     0.000000   \n",
       "       Other services (93)                                                                   0.000000   \n",
       "       Private households with employed persons (95)                                         0.000000   \n",
       "       Extra-territorial organizations and bodies                                            0.000000   \n",
       "\n",
       "category                                                  Gross fixed capital formation  \\\n",
       "region sector                                                                             \n",
       "AT     Paddy rice                                                                   0.0   \n",
       "       Wheat                                                                        0.0   \n",
       "       Cereal grains nec                                                            0.0   \n",
       "       Vegetables, fruit, nuts                                                      0.0   \n",
       "       Oil seeds                                                                    0.0   \n",
       "...                                                                                 ...   \n",
       "WM     Membership organisation services n.e.c. (91)                                 0.0   \n",
       "       Recreational, cultural and sporting services (92)                            0.0   \n",
       "       Other services (93)                                                          0.0   \n",
       "       Private households with employed persons (95)                                0.0   \n",
       "       Extra-territorial organizations and bodies                                   0.0   \n",
       "\n",
       "category                                                  Changes in inventories  \\\n",
       "region sector                                                                      \n",
       "AT     Paddy rice                                                   0.000000e+00   \n",
       "       Wheat                                                        6.153646e-03   \n",
       "       Cereal grains nec                                            2.300348e-03   \n",
       "       Vegetables, fruit, nuts                                      0.000000e+00   \n",
       "       Oil seeds                                                    2.376648e-10   \n",
       "...                                                                          ...   \n",
       "WM     Membership organisation services n.e.c. (91)                 0.000000e+00   \n",
       "       Recreational, cultural and sporting services (92)            4.507680e-03   \n",
       "       Other services (93)                                          0.000000e+00   \n",
       "       Private households with employed persons (95)                0.000000e+00   \n",
       "       Extra-territorial organizations and bodies                   0.000000e+00   \n",
       "\n",
       "category                                                  Changes in valuables  \\\n",
       "region sector                                                                    \n",
       "AT     Paddy rice                                                            0   \n",
       "       Wheat                                                                 0   \n",
       "       Cereal grains nec                                                     0   \n",
       "       Vegetables, fruit, nuts                                               0   \n",
       "       Oil seeds                                                             0   \n",
       "...                                                                        ...   \n",
       "WM     Membership organisation services n.e.c. (91)                          0   \n",
       "       Recreational, cultural and sporting services (92)                     0   \n",
       "       Other services (93)                                                   0   \n",
       "       Private households with employed persons (95)                         0   \n",
       "       Extra-territorial organizations and bodies                            0   \n",
       "\n",
       "category                                                  Exports: Total (fob)  \n",
       "region sector                                                                   \n",
       "AT     Paddy rice                                                            0  \n",
       "       Wheat                                                                 0  \n",
       "       Cereal grains nec                                                     0  \n",
       "       Vegetables, fruit, nuts                                               0  \n",
       "       Oil seeds                                                             0  \n",
       "...                                                                        ...  \n",
       "WM     Membership organisation services n.e.c. (91)                          0  \n",
       "       Recreational, cultural and sporting services (92)                     0  \n",
       "       Other services (93)                                                   0  \n",
       "       Private households with employed persons (95)                         0  \n",
       "       Extra-territorial organizations and bodies                            0  \n",
       "\n",
       "[9800 rows x 7 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y_mod = Y.loc[:,\"NL\"]\n",
    "Y_mod"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### 5.1 We isolate the extension in which we are interested"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "For this exercise we only focus on the carbon fooprint\n",
    "\n",
    "*\"GHG emissions (GWP100) | Problem oriented approach: baseline (CML, 2001) | GWP100 (IPCC, 2007)\"* in kg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "indicator = \"GHG emissions (GWP100) | Problem oriented approach: baseline (CML, 2001) | GWP100 (IPCC, 2007)\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "region  sector                                           \n",
       "AT      Paddy rice                                           0.000000e+00\n",
       "        Wheat                                                1.690932e+06\n",
       "        Cereal grains nec                                    9.351194e+05\n",
       "        Vegetables, fruit, nuts                              1.815896e+05\n",
       "        Oil seeds                                            1.301896e+06\n",
       "                                                                 ...     \n",
       "WM      Membership organisation services n.e.c. (91)         2.426753e+04\n",
       "        Recreational, cultural and sporting services (92)    5.715920e+04\n",
       "        Other services (93)                                  1.475622e+05\n",
       "        Private households with employed persons (95)        1.068715e+04\n",
       "        Extra-territorial organizations and bodies           0.000000e+00\n",
       "Name: GHG emissions (GWP100) | Problem oriented approach: baseline (CML, 2001) | GWP100 (IPCC, 2007), Length: 9800, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the intensity vector in which we are interested\n",
    "f_ =  f.loc[indicator]\n",
    "\n",
    "f_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "# the final demand CO2 emissions\n",
    "\n",
    "e_hh_ = F_hh.loc[indicator, \"NL\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### 5.2 We calculate the total footprint of the region"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "243866962504.6605"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate the total global footprint\n",
    "e_total_reg = f_ @ L @ Y_mod.sum(axis=1) + e_hh_.sum()\n",
    "e_total_reg"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Exercise 5: Which regions emit the most CO2 as a result of final consumption in the Netherlands?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### 5.3 Let's analyse in which regions CO2 is emitted the most as a result of NL consumption"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "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>category</th>\n",
       "      <th>Final consumption expenditure by households</th>\n",
       "      <th>Final consumption expenditure by non-profit organisations serving households (NPISH)</th>\n",
       "      <th>Final consumption expenditure by government</th>\n",
       "      <th>Gross fixed capital formation</th>\n",
       "      <th>Changes in inventories</th>\n",
       "      <th>Changes in valuables</th>\n",
       "      <th>Exports: Total (fob)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>region</th>\n",
       "      <th>sector</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">AT</th>\n",
       "      <th>Paddy rice</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wheat</th>\n",
       "      <td>3.485879e+06</td>\n",
       "      <td>122190.329587</td>\n",
       "      <td>357521.841582</td>\n",
       "      <td>273924.604576</td>\n",
       "      <td>53010.923399</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cereal grains nec</th>\n",
       "      <td>4.202187e+06</td>\n",
       "      <td>149425.302410</td>\n",
       "      <td>370130.985637</td>\n",
       "      <td>306893.803996</td>\n",
       "      <td>60721.063570</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vegetables, fruit, nuts</th>\n",
       "      <td>1.068693e+06</td>\n",
       "      <td>18522.995799</td>\n",
       "      <td>42206.466398</td>\n",
       "      <td>28940.364744</td>\n",
       "      <td>7439.398482</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oil seeds</th>\n",
       "      <td>1.466196e+06</td>\n",
       "      <td>55243.174667</td>\n",
       "      <td>147937.956941</td>\n",
       "      <td>93651.161106</td>\n",
       "      <td>48163.487784</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">WM</th>\n",
       "      <th>Membership organisation services n.e.c. (91)</th>\n",
       "      <td>4.913781e+04</td>\n",
       "      <td>8109.012034</td>\n",
       "      <td>26449.666282</td>\n",
       "      <td>29224.913166</td>\n",
       "      <td>1697.386879</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Recreational, cultural and sporting services (92)</th>\n",
       "      <td>4.871489e+05</td>\n",
       "      <td>90179.635117</td>\n",
       "      <td>202856.359724</td>\n",
       "      <td>298059.916474</td>\n",
       "      <td>16144.725461</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other services (93)</th>\n",
       "      <td>1.026177e+06</td>\n",
       "      <td>43620.218469</td>\n",
       "      <td>346238.159165</td>\n",
       "      <td>439349.913384</td>\n",
       "      <td>28572.744991</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Private households with employed persons (95)</th>\n",
       "      <td>9.411908e+04</td>\n",
       "      <td>3261.966743</td>\n",
       "      <td>35555.026876</td>\n",
       "      <td>33153.724344</td>\n",
       "      <td>3861.676113</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Extra-territorial organizations and bodies</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9800 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "category                                                  Final consumption expenditure by households  \\\n",
       "region sector                                                                                           \n",
       "AT     Paddy rice                                                                        0.000000e+00   \n",
       "       Wheat                                                                             3.485879e+06   \n",
       "       Cereal grains nec                                                                 4.202187e+06   \n",
       "       Vegetables, fruit, nuts                                                           1.068693e+06   \n",
       "       Oil seeds                                                                         1.466196e+06   \n",
       "...                                                                                               ...   \n",
       "WM     Membership organisation services n.e.c. (91)                                      4.913781e+04   \n",
       "       Recreational, cultural and sporting services (92)                                 4.871489e+05   \n",
       "       Other services (93)                                                               1.026177e+06   \n",
       "       Private households with employed persons (95)                                     9.411908e+04   \n",
       "       Extra-territorial organizations and bodies                                        0.000000e+00   \n",
       "\n",
       "category                                                  Final consumption expenditure by non-profit organisations serving households (NPISH)  \\\n",
       "region sector                                                                                                                                    \n",
       "AT     Paddy rice                                                                                  0.000000                                      \n",
       "       Wheat                                                                                  122190.329587                                      \n",
       "       Cereal grains nec                                                                      149425.302410                                      \n",
       "       Vegetables, fruit, nuts                                                                 18522.995799                                      \n",
       "       Oil seeds                                                                               55243.174667                                      \n",
       "...                                                                                                     ...                                      \n",
       "WM     Membership organisation services n.e.c. (91)                                             8109.012034                                      \n",
       "       Recreational, cultural and sporting services (92)                                       90179.635117                                      \n",
       "       Other services (93)                                                                     43620.218469                                      \n",
       "       Private households with employed persons (95)                                            3261.966743                                      \n",
       "       Extra-territorial organizations and bodies                                                  0.000000                                      \n",
       "\n",
       "category                                                  Final consumption expenditure by government  \\\n",
       "region sector                                                                                           \n",
       "AT     Paddy rice                                                                            0.000000   \n",
       "       Wheat                                                                            357521.841582   \n",
       "       Cereal grains nec                                                                370130.985637   \n",
       "       Vegetables, fruit, nuts                                                           42206.466398   \n",
       "       Oil seeds                                                                        147937.956941   \n",
       "...                                                                                               ...   \n",
       "WM     Membership organisation services n.e.c. (91)                                      26449.666282   \n",
       "       Recreational, cultural and sporting services (92)                                202856.359724   \n",
       "       Other services (93)                                                              346238.159165   \n",
       "       Private households with employed persons (95)                                     35555.026876   \n",
       "       Extra-territorial organizations and bodies                                            0.000000   \n",
       "\n",
       "category                                                  Gross fixed capital formation  \\\n",
       "region sector                                                                             \n",
       "AT     Paddy rice                                                              0.000000   \n",
       "       Wheat                                                              273924.604576   \n",
       "       Cereal grains nec                                                  306893.803996   \n",
       "       Vegetables, fruit, nuts                                             28940.364744   \n",
       "       Oil seeds                                                           93651.161106   \n",
       "...                                                                                 ...   \n",
       "WM     Membership organisation services n.e.c. (91)                        29224.913166   \n",
       "       Recreational, cultural and sporting services (92)                  298059.916474   \n",
       "       Other services (93)                                                439349.913384   \n",
       "       Private households with employed persons (95)                       33153.724344   \n",
       "       Extra-territorial organizations and bodies                              0.000000   \n",
       "\n",
       "category                                                  Changes in inventories  \\\n",
       "region sector                                                                      \n",
       "AT     Paddy rice                                                       0.000000   \n",
       "       Wheat                                                        53010.923399   \n",
       "       Cereal grains nec                                            60721.063570   \n",
       "       Vegetables, fruit, nuts                                       7439.398482   \n",
       "       Oil seeds                                                    48163.487784   \n",
       "...                                                                          ...   \n",
       "WM     Membership organisation services n.e.c. (91)                  1697.386879   \n",
       "       Recreational, cultural and sporting services (92)            16144.725461   \n",
       "       Other services (93)                                          28572.744991   \n",
       "       Private households with employed persons (95)                 3861.676113   \n",
       "       Extra-territorial organizations and bodies                       0.000000   \n",
       "\n",
       "category                                                  Changes in valuables  \\\n",
       "region sector                                                                    \n",
       "AT     Paddy rice                                                          0.0   \n",
       "       Wheat                                                               0.0   \n",
       "       Cereal grains nec                                                   0.0   \n",
       "       Vegetables, fruit, nuts                                             0.0   \n",
       "       Oil seeds                                                           0.0   \n",
       "...                                                                        ...   \n",
       "WM     Membership organisation services n.e.c. (91)                        0.0   \n",
       "       Recreational, cultural and sporting services (92)                   0.0   \n",
       "       Other services (93)                                                 0.0   \n",
       "       Private households with employed persons (95)                       0.0   \n",
       "       Extra-territorial organizations and bodies                          0.0   \n",
       "\n",
       "category                                                  Exports: Total (fob)  \n",
       "region sector                                                                   \n",
       "AT     Paddy rice                                                          0.0  \n",
       "       Wheat                                                               0.0  \n",
       "       Cereal grains nec                                                   0.0  \n",
       "       Vegetables, fruit, nuts                                             0.0  \n",
       "       Oil seeds                                                           0.0  \n",
       "...                                                                        ...  \n",
       "WM     Membership organisation services n.e.c. (91)                        0.0  \n",
       "       Recreational, cultural and sporting services (92)                   0.0  \n",
       "       Other services (93)                                                 0.0  \n",
       "       Private households with employed persons (95)                       0.0  \n",
       "       Extra-territorial organizations and bodies                          0.0  \n",
       "\n",
       "[9800 rows x 7 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# In this case we diagonalize the emission intensity vector \n",
    "e_breakdown = np.diag(f_) @ L @ Y_mod\n",
    "# we apply the sectoral labels\n",
    "e_breakdown.index = pd.MultiIndex.from_frame(A.columns.to_frame())\n",
    "\n",
    "e_breakdown"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "# Right now, we are only interested in the impacts of regions, so so we sum across axis 1\n",
    "e_prod_reg = e_breakdown.sum(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "# and then we sum the results by regions by using the groupby methods\n",
    "e_regional_breakdown = e_prod_reg.groupby([\"region\"]).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "region\n",
       "NL    6.546349e+10\n",
       "WA    1.949135e+10\n",
       "CN    1.640461e+10\n",
       "WM    1.312401e+10\n",
       "RU    1.174816e+10\n",
       "WF    9.444350e+09\n",
       "DE    6.981255e+09\n",
       "WL    6.673217e+09\n",
       "US    6.585898e+09\n",
       "GB    4.848567e+09\n",
       "BE    4.814385e+09\n",
       "IN    4.029210e+09\n",
       "WE    3.359266e+09\n",
       "ZA    3.231949e+09\n",
       "PL    3.119139e+09\n",
       "FR    2.957478e+09\n",
       "IE    2.461702e+09\n",
       "BR    2.193445e+09\n",
       "ES    1.671399e+09\n",
       "AU    1.619674e+09\n",
       "NO    1.525487e+09\n",
       "TR    1.397751e+09\n",
       "ID    1.341351e+09\n",
       "CA    1.308877e+09\n",
       "JP    1.251357e+09\n",
       "MX    1.119060e+09\n",
       "IT    1.113362e+09\n",
       "TW    1.043552e+09\n",
       "DK    7.631576e+08\n",
       "GR    6.755250e+08\n",
       "SE    6.363110e+08\n",
       "PT    6.013609e+08\n",
       "KR    5.995100e+08\n",
       "FI    5.833092e+08\n",
       "LU    4.885938e+08\n",
       "CZ    4.547234e+08\n",
       "CH    3.810492e+08\n",
       "RO    3.493514e+08\n",
       "AT    3.444674e+08\n",
       "HU    3.335075e+08\n",
       "BG    3.155896e+08\n",
       "LT    2.113308e+08\n",
       "SK    1.882835e+08\n",
       "CY    1.486235e+08\n",
       "EE    1.462157e+08\n",
       "LV    1.388953e+08\n",
       "HR    7.737490e+07\n",
       "SI    7.389346e+07\n",
       "MT    1.956235e+07\n",
       "dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We sort the results from largest to smallest to see the most impacting regions\n",
    "e_rb_sorted = e_regional_breakdown.sort_values(ascending=False)\n",
    "\n",
    "e_rb_sorted"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Exercise 6: Let's plot the results for the top 15 emitters \n",
    "\n",
    "Using pandas you can make simple visualizations directly from dataframes and series\n",
    "\n",
    "see more here: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### 6.1 Totals of the top 15 emitters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot your results with plot.bar()\n",
    "top_15_results = e_rb_sorted[:15] /1e9 # dividing by 1e9 (1 billion) we convert kg to Mtonnes\n",
    "\n",
    "top_15_plot = top_15_results.round(1).plot.bar(xlabel='Region', grid=True, ylabel=\"Mt CO2-eq\", title=\"Total regional contribution to total\\nDutch GHG emission footprint\")\n",
    "\n",
    "# applying bar labels\n",
    "top_15_plot = top_15_plot.bar_label(top_15_plot.containers[0], label_type='edge')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### 6.2 Let's normalize results by the total footprint of NL consumption"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "# Normalize your results\n",
    "e_rb_sorted_norm = round(e_rb_sorted/e_total_reg*100, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot top 15 regions\n",
    "top_15_norm_plot = e_rb_sorted_norm[:15].plot.bar(xlabel='Region', grid=True , ylabel=\"%\", title=\"Relative regional contribution to\\n total Dutch GHG emission footprint\")\n",
    "\n",
    "# applying bar labels\n",
    "top_15_norm_plot = top_15_norm_plot.bar_label(top_15_norm_plot.containers[0], label_type='edge')"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
  },
  "vscode": {
   "interpreter": {
    "hash": "a0de1fb450ee5e26d734f0aa5b4c4b29e20575809e5e66472467df7627fd957d"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}