Eurostat_nrg_ind_urtd.ipynb

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   "cell_type": "code",
   "execution_count": 2,
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    "%load_ext jupyter_black"
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  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import xarray as xr\n",
    "import eurostat\n",
    "import matplotlib.pyplot as plt\n",
    "import pycountry\n",
    "\n",
    "plt.style.use(\"ggplot\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_code = \"nrg_ind_urtd\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Download csv data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "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>title</th>\n",
       "      <th>code</th>\n",
       "      <th>type</th>\n",
       "      <th>last update of data</th>\n",
       "      <th>last table structure change</th>\n",
       "      <th>data start</th>\n",
       "      <th>data end</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Gross weight of goods transported to/from main...</td>\n",
       "      <td>MAR_GO_AM_SE</td>\n",
       "      <td>dataset</td>\n",
       "      <td>2010-02-26T23:00:00+0100</td>\n",
       "      <td>2023-07-27T23:00:00+0200</td>\n",
       "      <td>1997</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Gross weight of goods transported to/from main...</td>\n",
       "      <td>MAR_GO_AM_SI</td>\n",
       "      <td>dataset</td>\n",
       "      <td>2023-08-24T23:00:00+0200</td>\n",
       "      <td>2023-08-24T23:00:00+0200</td>\n",
       "      <td>2001</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Gross weight of goods transported to/from main...</td>\n",
       "      <td>MAR_GO_AM_TR</td>\n",
       "      <td>dataset</td>\n",
       "      <td>2011-04-11T23:00:00+0200</td>\n",
       "      <td>2023-07-27T23:00:00+0200</td>\n",
       "      <td>2008</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Gross weight of goods transported to/from main...</td>\n",
       "      <td>MAR_GO_AM_UK</td>\n",
       "      <td>dataset</td>\n",
       "      <td>2010-04-22T11:00:00+0200</td>\n",
       "      <td>2023-11-22T11:00:00+0100</td>\n",
       "      <td>2000</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Gross weight of goods transported to/from main...</td>\n",
       "      <td>MAR_GO_QM</td>\n",
       "      <td>dataset</td>\n",
       "      <td>2024-03-22T23:00:00+0100</td>\n",
       "      <td>2024-03-05T23:00:00+0100</td>\n",
       "      <td>1997-Q1</td>\n",
       "      <td>2023-Q4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               title          code     type  \\\n",
       "0  Gross weight of goods transported to/from main...  MAR_GO_AM_SE  dataset   \n",
       "1  Gross weight of goods transported to/from main...  MAR_GO_AM_SI  dataset   \n",
       "2  Gross weight of goods transported to/from main...  MAR_GO_AM_TR  dataset   \n",
       "3  Gross weight of goods transported to/from main...  MAR_GO_AM_UK  dataset   \n",
       "4  Gross weight of goods transported to/from main...     MAR_GO_QM  dataset   \n",
       "\n",
       "        last update of data last table structure change data start data end  \n",
       "0  2010-02-26T23:00:00+0100    2023-07-27T23:00:00+0200       1997     2022  \n",
       "1  2023-08-24T23:00:00+0200    2023-08-24T23:00:00+0200       2001     2022  \n",
       "2  2011-04-11T23:00:00+0200    2023-07-27T23:00:00+0200       2008     2022  \n",
       "3  2010-04-22T11:00:00+0200    2023-11-22T11:00:00+0100       2000     2019  \n",
       "4  2024-03-22T23:00:00+0100    2024-03-05T23:00:00+0100    1997-Q1  2023-Q4  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dataset = eurostat.get_toc_df()\n",
    "df_dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['freq', 'siec', 'nrg_bal', 'unit', 'geo']"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parameters = eurostat.get_pars(dataset_code)\n",
    "parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "freq\n",
      "['A']\n",
      "siec\n",
      "['TOTAL', 'RA000', 'R5200', 'R5250S', 'R5251S', 'R5252S', 'R5253S', 'R5254S', 'R5255S', 'R5256S', 'R5257S', 'R5258S', 'R5259S', 'R5260S', 'R5261S', 'R5262S', 'R5263S', 'R5264S', 'R5265S', 'R5266S', 'R5267S', 'R5268S', 'R5269S', 'R5270S', 'R5271S', 'R5272S', 'R5273S', 'R5274S', 'R5275S', 'R5276S', 'R5277S', 'R5278S', 'R5279S', 'R5300', 'R5300B', 'E7000', 'E7100', 'E7200', 'RHYD', 'RSYNF']\n",
      "nrg_bal\n",
      "['FC_TRA_E_RED', 'FC_TRA_ROAD_E_RED', 'FC_TRA_RAIL_E_RED', 'FC_TRA_OTH_E_RED', 'NRG_MNBRFT_E', 'GFC_TRA_E_NMULTI', 'GFC_TRA_E_MULTI', 'LIM_TT', 'BIOFCON_LIM_TRA', 'BIOF_FS_SHR', 'ST_MS_TRA', 'BIOG_G_SHR', 'BIOG_G_TRA', 'BIOG_G_ADJSHR']\n",
      "unit\n",
      "['KTOE', 'TJ_GCV', 'PC']\n",
      "geo\n",
      "['EU27_2020', 'EA20', 'BE', 'BG', 'CZ', 'DK', 'DE', 'EE', 'IE', 'EL', 'ES', 'FR', 'HR', 'IT', 'CY', 'LV', 'LT', 'LU', 'HU', 'MT', 'NL', 'AT', 'PL', 'PT', 'RO', 'SI', 'SK', 'FI', 'SE', 'IS', 'NO', 'UK', 'BA', 'ME', 'MD', 'MK', 'AL', 'RS', 'TR', 'XK', 'GE']\n"
     ]
    }
   ],
   "source": [
    "for parameter in parameters:\n",
    "    print(parameter)\n",
    "    values = eurostat.get_par_values(dataset_code, parameter)\n",
    "    print(values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('freq',\n",
       "  'Time frequency',\n",
       "  'This code list contains the periodicity that refers to the frequency.'),\n",
       " ('siec',\n",
       "  'Standard international energy product classification (SIEC)',\n",
       "  'This code list contains the energy products according to the Standard International Energy Product Classification (SIEC) which has been developped as part of the International Recommendations for Energy Statistics (IRES) adopted by the UNSD.'),\n",
       " ('nrg_bal',\n",
       "  'Energy balance',\n",
       "  'This code list refers to the flows used for the energy balances.'),\n",
       " ('unit', 'Unit of measure', None),\n",
       " ('geo',\n",
       "  'Geopolitical entity (reporting)',\n",
       "  'This code list defines the reporting geopolitical entities.')]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dic = eurostat.get_dic(dataset_code)\n",
    "dic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "dict_siec = eurostat.get_dic(dataset_code, \"siec\", frmt=\"dict\")\n",
    "dict_nrg = eurostat.get_dic(dataset_code, \"nrg_bal\", frmt=\"dict\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'TOTAL': 'Total',\n",
       " 'CF': 'Combustible fuels',\n",
       " 'CF_R': 'Combustible fuels - renewable',\n",
       " 'CF_NR': 'Combustible fuels - non-renewable',\n",
       " 'CF_NR_OTH': 'Combustible fuels - non-renewable - other',\n",
       " 'FF': 'Fossil fuels',\n",
       " 'SFF_P1000': 'Solid fossil fuels and peat',\n",
       " 'SFF_P1000_S2000': 'Solid fossil fuels, peat, peat products, oil shale and oil sands',\n",
       " 'C0000': 'Coal and manufactured gases',\n",
       " 'C0000X0350-0370': 'Solid fossil fuels',\n",
       " 'C0100': 'Hard coal',\n",
       " 'C0110': 'Anthracite',\n",
       " 'C0120': 'Bituminous coal',\n",
       " 'C0121': 'Coking coal',\n",
       " 'C0129': 'Other bituminous coal',\n",
       " 'C0200': 'Brown coal',\n",
       " 'C0210': 'Sub-bituminous coal',\n",
       " 'C0220': 'Lignite',\n",
       " 'C0300': 'Coal products',\n",
       " 'C0310': 'Coal coke',\n",
       " 'C0311': 'Coke oven coke',\n",
       " 'C0312': 'Gas coke',\n",
       " 'C0313': 'Coke breeze',\n",
       " 'C0314': 'Semi cokes',\n",
       " 'C0320': 'Patent fuel',\n",
       " 'C0330': 'Brown coal briquettes',\n",
       " 'C0340': 'Coal tar',\n",
       " 'C0350-0370': 'Manufactured gases',\n",
       " 'C0350': 'Coke oven gas',\n",
       " 'C0360': 'Gas works gas',\n",
       " 'C0370': 'Recovered gases',\n",
       " 'C0371': 'Blast furnace gas',\n",
       " 'C0372': 'Basic oxygen steel furnace gas',\n",
       " 'C0379': 'Other recovered gases',\n",
       " 'C0390': 'Other coal products',\n",
       " 'P1000': 'Peat and peat products',\n",
       " 'P1100': 'Peat',\n",
       " 'P1110': 'Sod peat',\n",
       " 'P1120': 'Milled peat',\n",
       " 'P1200': 'Peat products',\n",
       " 'P1210': 'Peat briquettes',\n",
       " 'P1290': 'Other peat products',\n",
       " 'S2000': 'Oil shale and oil sands',\n",
       " 'SFF_OTH': 'Other solid fossil fuels',\n",
       " 'G3000_C0350-370': 'Gas',\n",
       " 'G3000_C0360': 'Natural gas and gas work gas',\n",
       " 'G3000': 'Natural gas',\n",
       " 'G3100': 'Compressed natural gas',\n",
       " 'G3200': 'Liquefied natural gas',\n",
       " 'O4000': 'Oil and petroleum products',\n",
       " 'O4000XBIO': 'Oil and petroleum products (excluding biofuel portion)',\n",
       " 'O4100_TOT_4200-4500': 'Crude oil, NGL, refinery feedstocks, additives and oxygenates and other hydrocarbons',\n",
       " 'O4100_TOT_4200-4500XBIO': 'Crude oil, NGL, refinery feedstocks, additives and oxygenates and other hydrocarbons (excluding biofuel portion)',\n",
       " 'O4100_TOT': 'Crude oil',\n",
       " 'O4100': 'Conventional crude oil',\n",
       " 'NO4100': 'Unconventional crude oil',\n",
       " 'O4200': 'Natural gas liquids',\n",
       " 'O4300': 'Refinery feedstocks',\n",
       " 'O4400X4410': 'Additives and oxygenates (excluding biofuel portion)',\n",
       " 'O4400': 'Additives and oxygenates',\n",
       " 'O4410': 'Biofuels for blending',\n",
       " 'O4500': 'Other hydrocarbons',\n",
       " 'O4110_4300-4500': 'Other primary oil products',\n",
       " 'O4200-4500': 'Other primary oil',\n",
       " 'O4600': 'Oil products',\n",
       " 'O4600XBIO': 'Oil products (excluding biofuel portion)',\n",
       " 'O4610': 'Refinery gas',\n",
       " 'O4620': 'Ethane',\n",
       " 'O4630': 'Liquefied petroleum gases',\n",
       " 'O4640': 'Naphtha',\n",
       " 'O4650': 'Gasolines',\n",
       " 'O4651': 'Aviation gasoline',\n",
       " 'O4652': 'Motor gasoline',\n",
       " 'O4652XR5210B': 'Motor gasoline (excluding biofuel portion)',\n",
       " 'O4653': 'Gasoline-type jet fuel',\n",
       " 'O4660': 'Kerosenes',\n",
       " 'O4661': 'Kerosene-type jet fuel',\n",
       " 'O4661XR5230B': 'Kerosene-type jet fuel (excluding biofuel portion)',\n",
       " 'O4669': 'Other kerosene',\n",
       " 'O4670': 'Gas oil and diesel oil and heavy gas oil',\n",
       " 'O4671': 'Gas oil and diesel oil',\n",
       " 'O4671XR5220B': 'Gas oil and diesel oil (excluding biofuel portion)',\n",
       " 'O46711': 'Road diesel',\n",
       " 'O46712': 'Heating and other gasoil',\n",
       " 'O4672': 'Heavy gas oil',\n",
       " 'O4680': 'Fuel oil',\n",
       " 'O4681': 'Fuel oil (low sulphur <1%)',\n",
       " 'O46811': 'Fuel oil (very low sulphur <0.5%)',\n",
       " 'O4682': 'Fuel oil (high sulphur >=1%)',\n",
       " 'O4690': 'Other oil products',\n",
       " 'O4690XO4694': 'Other oil products (excluding petroleum coke portion)',\n",
       " 'O4691': 'White spirit and special boiling point industrial spirits',\n",
       " 'O4692': 'Lubricants',\n",
       " 'O4693': 'Paraffin waxes',\n",
       " 'O4694': 'Petroleum coke',\n",
       " 'O4695': 'Bitumen',\n",
       " 'O4699': 'Other oil products n.e.c.',\n",
       " 'ROIL': 'Refined oil products',\n",
       " 'PP_OTH': 'Other petroleum products',\n",
       " 'RA000': 'Renewables and biofuels',\n",
       " 'RA010': 'Renewables and biofuels - statistical transfers, joint projects and joint support schemes - added amount',\n",
       " 'RA020': 'Renewables and biofuels - statistical transfers, joint projects and joint support schemes - deduced amount',\n",
       " 'RA100': 'Hydro',\n",
       " 'RA110': 'Pure hydro power',\n",
       " 'RA110ROR': 'Run-of-river hydro power',\n",
       " 'RA120': 'Mixed hydro power',\n",
       " 'RA120P': 'Mixed hydro power - pumping',\n",
       " 'RA130': 'Pumped hydro power',\n",
       " 'RA200': 'Geothermal',\n",
       " 'RA300': 'Wind',\n",
       " 'RA310': 'Wind on shore',\n",
       " 'RA320': 'Wind off shore',\n",
       " 'RA400': 'Solar',\n",
       " 'RA410': 'Solar thermal',\n",
       " 'RA420': 'Solar photovoltaic',\n",
       " 'RA420AC': 'Solar photovoltaic - alternating current',\n",
       " 'RA420DC': 'Solar photovoltaic - direct current',\n",
       " 'RA420KW_LT10': 'Solar photovoltaic (< 10 kW)',\n",
       " 'RA420KW_LT10_RT': 'Solar photovoltaic (< 10 kW, roof top)',\n",
       " 'RA420KW_LT10_OG': 'Solar photovoltaic (< 10 kW, Off grid)',\n",
       " 'RA420KW_LT20': 'Solar photovoltaic (< 20 kW)',\n",
       " 'RA420KW_LT30': 'Solar photovoltaic (< 30 kW)',\n",
       " 'RA420KW_LT30_RT': 'Solar photovoltaic (< 30 kW, roof top)',\n",
       " 'RA420KW_LT30_OG': 'Solar photovoltaic (< 30 kW, Off grid)',\n",
       " 'RA420KW20-1000': 'Solar photovoltaic (20 kW - 1000 kW)',\n",
       " 'RA420KW30-1000': 'Solar photovoltaic (30 kW - 1000 kW)',\n",
       " 'RA420KW30-1000_RT': 'Solar photovoltaic (30 kW - 1000 kW, roof top)',\n",
       " 'RA420KW30-1000_OG': 'Solar photovoltaic (30 kW - 1000 kW, Off grid)',\n",
       " 'RA420MW_GT1': 'Solar photovoltaic (1+ MW)',\n",
       " 'RA420MW_GT1_RT': 'Solar photovoltaic (1+ MW, roof top)',\n",
       " 'RA420MW_GT1_OG': 'Solar photovoltaic (1+ MW, Off grid)',\n",
       " 'RA420OG': 'Solar photovoltaic (Off grid)',\n",
       " 'RA500': 'Tide, wave, ocean',\n",
       " 'RA600': 'Ambient heat (heat pumps)',\n",
       " 'RA610': 'Geothermal heat pumps',\n",
       " 'RA620': 'Aerothermal and hydrothermal heat pumps',\n",
       " 'RA700': 'Renewable cooling',\n",
       " 'R5000': 'Biofuels',\n",
       " 'R5100': 'Solid biofuels',\n",
       " 'R5100F': 'Solid biofuels - co-firing',\n",
       " 'R5101': 'Primary biomass - from forest',\n",
       " 'R5102': 'Branches and tree tops',\n",
       " 'R5103': 'Stumps',\n",
       " 'R5104': 'Roundwood',\n",
       " 'R5105': 'Industrial roundwood',\n",
       " 'R5106': 'Fuelwood',\n",
       " 'R5107': 'Forest-based industry co-products',\n",
       " 'R5108': 'Bark',\n",
       " 'R5109': 'Chips, sawdust and other wood particles',\n",
       " 'R5110-5150_W6000RI': 'Primary solid biofuels',\n",
       " 'R5110-5150_W6000RIS': 'Sustainable primary solid biofuels',\n",
       " 'R5110': 'Fuelwood, wood residues and byproducts',\n",
       " 'R5111': 'Wood pellets',\n",
       " 'R5112': 'Post-consumer wood',\n",
       " 'R5113': 'Processed wood-based fuel, produced - from feedstocks',\n",
       " 'R5119': 'Other fuelwood, wood residues and byproducts',\n",
       " 'R5120': 'Bagasse',\n",
       " 'R5130': 'Animal waste',\n",
       " 'R5140_5141': 'Black liquor and crude tall oil',\n",
       " 'R5140': 'Black liquor',\n",
       " 'R5141': 'Crude tall oil',\n",
       " 'R5150': 'Other vegetal material and residues',\n",
       " 'R5151': 'Agricultural biomass',\n",
       " 'R5152': 'Energy crops for electricity or heat (including short rotation coppice)',\n",
       " 'R5153': 'Energy crops for electricity or heat - from food and feed feedstocks',\n",
       " 'R5154': 'Agricultural crop residues for electricity or heat',\n",
       " 'R5159': 'Other agricultural biomass',\n",
       " 'W6000RI': 'Renewable fraction of industrial waste',\n",
       " 'R5160': 'Charcoal',\n",
       " 'R5200': 'Liquid biofuels',\n",
       " 'R5210': 'Biogasoline',\n",
       " 'R5210P': 'Pure biogasoline',\n",
       " 'R5210B': 'Blended biogasoline',\n",
       " 'R5210E': 'Bioethanol',\n",
       " 'R5220': 'Biodiesels',\n",
       " 'R5220P': 'Pure biodiesels',\n",
       " 'R5220B': 'Blended biodiesels',\n",
       " 'R5230': 'Bio jet kerosene',\n",
       " 'R5230P': 'Pure bio jet kerosene',\n",
       " 'R5230B': 'Blended bio jet kerosene',\n",
       " 'R5250S': 'Sustainable biofuels',\n",
       " 'R5251S': 'Sustainable biofuels Annex IX',\n",
       " 'R5252S': 'Sustainable biofuels Annex IX, Part A',\n",
       " 'R5253S': 'Sustainable biofuels Annex IX, Part A (a) - from algae',\n",
       " 'R5254S': 'Sustainable biofuels Annex IX, Part A (b) - from biomass in mixed municipal waste',\n",
       " 'R5255S': 'Sustainable biofuels Annex IX, Part A (c) - from biowaste',\n",
       " 'R5256S': 'Sustainable biofuels Annex IX, Part A (d) - from biomass in industrial waste',\n",
       " 'R5257S': 'Sustainable biofuels Annex IX, Part A (e) - from straw',\n",
       " 'R5258S': 'Sustainable biofuels Annex IX, Part A (f) - from animal manure and sewage sludge',\n",
       " 'R5259S': 'Sustainable biofuels Annex IX, Part A (g) - from palm oil effluent and empty palm fruit bunches',\n",
       " 'R5260S': 'Sustainable biofuels Annex IX, Part A (h) - from tall oil pitch',\n",
       " 'R5261S': 'Sustainable biofuels Annex IX, Part A (i) - from crude glycerine',\n",
       " 'R5262S': 'Sustainable biofuels Annex IX, Part A (j) - from bagasse',\n",
       " 'R5263S': 'Sustainable biofuels Annex IX, Part A (k) - from grape marcs and wine lees',\n",
       " 'R5264S': 'Sustainable biofuels Annex IX, Part A (l) - from nut shells',\n",
       " 'R5265S': 'Sustainable biofuels Annex IX, Part A (m) - from husks',\n",
       " 'R5266S': 'Sustainable biofuels Annex IX, Part A (n) - from cobs cleaned of kernels of corn',\n",
       " 'R5267S': 'Sustainable biofuels Annex IX, Part A (o) - from biomass fraction of wastes and residues from forestry and forest-based industries',\n",
       " 'R5268S': 'Sustainable biofuels Annex IX, Part A (p) - from other non-food cellulosic material - article 2 second paragraph point (s)',\n",
       " 'R5269S': 'Sustainable biofuels Annex IX, Part A (q) - from other ligno-cellulosic material - article 2 second paragraph point (r) except saw logs and veneer logs',\n",
       " 'R5270S': 'Sustainable biofuels Annex IX, Part A (r) - from renewable liquid and gaseous transport fuels of non-biological origin',\n",
       " 'R5271S': 'Sustainable biofuels Annex IX, Part A (s) - from carbon capture and utilisation for transport purposes, if the energy source is renewable - article 2 second paragraph point (a)',\n",
       " 'R5272S': 'Sustainable biofuels Annex IX, Part A (t) - from bacteria, if the energy source is renewable - article 2 second paragraph point (a)',\n",
       " 'R5273S': 'Sustainable biofuels Annex IX, Part B',\n",
       " 'R5274S': 'Sustainable biofuels Annex IX, Part B (a) - from used cooking oil',\n",
       " 'R5275S': 'Sustainable biofuels Annex IX, Part B (b) - from animal fats classified as categories 1 and 2 (Regulation (EC) No 1069/2009)',\n",
       " 'R5276S': 'Sustainable biofuels 3(4)d first paragraph - from cereal and other starch-rich crops, sugars and oil crops and from crops grown as main crops primarily for energy purposes on agricultural land',\n",
       " 'R5277S': 'Sustainable biofuels 3(4)d third paragraph, subsection (i) and (ii)',\n",
       " 'R5278S': 'Sustainable biofuels - other',\n",
       " 'R5279S': 'Grandfathered biofuels',\n",
       " 'R5280S': 'Sustainable biofuels from food and feed crops',\n",
       " 'R5281S': 'Sustainable biofuels from food and feed crops - non-high indirect land use change-risk',\n",
       " 'R5290': 'Other liquid biofuels',\n",
       " 'R5292': 'Bioliquids',\n",
       " 'R5292P': 'Pure bioliquids',\n",
       " 'R5292B': 'Blended bioliquids (only bio-part)',\n",
       " 'R5292S': 'Sustainable bioliquids',\n",
       " 'R5292SP': 'Sustainable pure bioliquids',\n",
       " 'R5292SB': 'Sustainable blended bioliquids (only bio-part)',\n",
       " 'R5293S': 'Sustainable bioliquids from non-food sources',\n",
       " 'R5293SP': 'Sustainable pure bioliquids from non-food sources',\n",
       " 'R5293SB': 'Sustainable blended bioliquids (only bio-part) from non-food sources',\n",
       " 'R5294S': 'Sustainable bioliquids from food and feed crops',\n",
       " 'R5294SP': 'Sustainable pure bioliquids from food and feed crops',\n",
       " 'R5294SB': 'Sustainable blended bioliquids (only bio-part) from food and feed crops',\n",
       " 'R5295S': 'Sustainable bioliquids from food and feed crops - from non-high indirect land use change-risk',\n",
       " 'R5295SP': 'Sustainable pure bioliquids from food and feed crops - from non-high indirect land use change-risk',\n",
       " 'R5295SB': 'Sustainable blended bioliquids (only bio-part) from food and feed crops - from non-high indirect land use change-risk',\n",
       " 'R5300': 'Biogases',\n",
       " 'R5300B': 'Blended biogases',\n",
       " 'R5300S': 'Sustainable biogases',\n",
       " 'R5300SB': 'Sustainable blended biogases',\n",
       " 'R5301SB': 'Biogases in the grid allocated based on sustainability certificates',\n",
       " 'R5310': 'Biogases from anaerobic fermentation',\n",
       " 'R5311': 'Landfill gas',\n",
       " 'R5312': 'Sewage sludge gas',\n",
       " 'R5319': 'Other biogases from anaerobic fermentation',\n",
       " 'R5320': 'Biogases from thermal processes',\n",
       " 'RA500_5160': 'Other renewable energies',\n",
       " 'W6000': 'Waste',\n",
       " 'W6100': 'Industrial waste (non-renewable)',\n",
       " 'W6100F': 'Industrial waste (non-renewable) - co-firing',\n",
       " 'W6200': 'Municipal waste',\n",
       " 'W6200F': 'Municipal waste - co-firing',\n",
       " 'W6205': 'Organic waste biomass',\n",
       " 'W6210': 'Renewable municipal waste',\n",
       " 'W6210F': 'Renewable municipal waste - co-firing',\n",
       " 'W6220': 'Non-renewable municipal waste',\n",
       " 'W6220F': 'Non-renewable municipal waste - co-firing',\n",
       " 'W6100_6220': 'Non-renewable waste',\n",
       " 'W6230': 'Waste sludges',\n",
       " 'N9000': 'Nuclear fuels and other fuels n.e.c.',\n",
       " 'N900H': 'Nuclear heat',\n",
       " 'N9100': 'Uranium, plutonium and thorium',\n",
       " 'N9110': 'Uranium and thorium ores',\n",
       " 'N9190': 'Other uranium, plutonium and thorium',\n",
       " 'N9200': 'Other nuclear fuels',\n",
       " 'E7000': 'Electricity',\n",
       " 'E7100': 'Electricity - renewable',\n",
       " 'E7101': 'Electricity - renewable - direct connection line',\n",
       " 'E7102': 'Electricity - renewable - grid',\n",
       " 'E7200': 'Electricity - non-renewable',\n",
       " 'H8000': 'Heat',\n",
       " 'H8000D': 'Derived heat and district heating',\n",
       " 'H8200': 'Waste heat and cold',\n",
       " 'X9900R': 'Other fuels n.e.c. - renewable',\n",
       " 'X9900NR': 'Other fuels n.e.c. - non-renewable',\n",
       " 'X9900H': 'Other fuels n.e.c. - heat from chemical sources',\n",
       " 'X9900': 'Other fuels n.e.c.',\n",
       " 'BA100': 'Batteries',\n",
       " 'BA100MWH_LT1': 'Batteries (< 1 MWh)',\n",
       " 'BA100MWH1-10': 'Batteries (1 MWh - 10 MWh)',\n",
       " 'BA100MWH10-100': 'Batteries (10 MWh - 100 MWh)',\n",
       " 'BA100MWH_GT100': 'Batteries (100 +MWh)',\n",
       " 'BIOE': 'Bioenergy',\n",
       " 'FE': 'Fossil energy',\n",
       " 'AMM': 'Ammonia (NH3)',\n",
       " 'HYD': 'Hydrogen (H2)',\n",
       " 'RHYD': 'Hydrogen of renewable origin',\n",
       " 'EFUEL': 'E-fuels',\n",
       " 'RSYNF': 'Synthetic fuels of renewable origin',\n",
       " 'RCF': 'Recycled carbon fuels'}"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict_siec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>freq</th>\n",
       "      <th>siec</th>\n",
       "      <th>nrg_bal</th>\n",
       "      <th>unit</th>\n",
       "      <th>geo\\TIME_PERIOD</th>\n",
       "      <th>2004</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>...</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "      <th>2021</th>\n",
       "      <th>2022</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A</td>\n",
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       "      <td>A</td>\n",
       "      <td>E7000</td>\n",
       "      <td>NRG_MNBRFT_E</td>\n",
       "      <td>KTOE</td>\n",
       "      <td>AT</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A</td>\n",
       "      <td>E7000</td>\n",
       "      <td>NRG_MNBRFT_E</td>\n",
       "      <td>KTOE</td>\n",
       "      <td>BA</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A</td>\n",
       "      <td>E7000</td>\n",
       "      <td>NRG_MNBRFT_E</td>\n",
       "      <td>KTOE</td>\n",
       "      <td>BE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>A</td>\n",
       "      <td>E7000</td>\n",
       "      <td>NRG_MNBRFT_E</td>\n",
       "      <td>KTOE</td>\n",
       "      <td>BG</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  freq   siec       nrg_bal  unit geo\\TIME_PERIOD  2004  2005  2006  2007  \\\n",
       "0    A  E7000  NRG_MNBRFT_E  KTOE              AL   0.0   0.0   0.0   0.0   \n",
       "1    A  E7000  NRG_MNBRFT_E  KTOE              AT   0.0   0.0   0.0   0.0   \n",
       "2    A  E7000  NRG_MNBRFT_E  KTOE              BA   0.0   0.0   0.0   0.0   \n",
       "3    A  E7000  NRG_MNBRFT_E  KTOE              BE   0.0   0.0   0.0   0.0   \n",
       "4    A  E7000  NRG_MNBRFT_E  KTOE              BG   0.0   0.0   0.0   0.0   \n",
       "\n",
       "   2008  ...  2013  2014  2015  2016  2017  2018  2019  2020  2021  2022  \n",
       "0   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  \n",
       "1   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  \n",
       "2   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   NaN   NaN  \n",
       "3   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  \n",
       "4   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = eurostat.get_data_df(dataset_code)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"siec_name\"] = df.siec.replace(dict_siec)\n",
    "df[\"nrg_bal_name\"] = df.nrg_bal.replace(dict_nrg)\n",
    "df = df.rename(columns={\"geo\\TIME_PERIOD\": \"geo\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[\n",
    "    [\n",
    "        \"freq\",\n",
    "        \"siec\",\n",
    "        \"siec_name\",\n",
    "        \"nrg_bal\",\n",
    "        \"nrg_bal_name\",\n",
    "        \"unit\",\n",
    "        \"geo\",\n",
    "        \"2004\",\n",
    "        \"2005\",\n",
    "        \"2006\",\n",
    "        \"2007\",\n",
    "        \"2008\",\n",
    "        \"2009\",\n",
    "        \"2010\",\n",
    "        \"2011\",\n",
    "        \"2012\",\n",
    "        \"2013\",\n",
    "        \"2014\",\n",
    "        \"2015\",\n",
    "        \"2016\",\n",
    "        \"2017\",\n",
    "        \"2018\",\n",
    "        \"2019\",\n",
    "        \"2020\",\n",
    "        \"2021\",\n",
    "        \"2022\",\n",
    "    ]\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<p>5 rows × 26 columns</p>\n",
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      ],
      "text/plain": [
       "  freq   siec    siec_name       nrg_bal  \\\n",
       "0    A  E7000  Electricity  NRG_MNBRFT_E   \n",
       "1    A  E7000  Electricity  NRG_MNBRFT_E   \n",
       "2    A  E7000  Electricity  NRG_MNBRFT_E   \n",
       "3    A  E7000  Electricity  NRG_MNBRFT_E   \n",
       "4    A  E7000  Electricity  NRG_MNBRFT_E   \n",
       "\n",
       "                                        nrg_bal_name  unit geo  2004  2005  \\\n",
       "0  Energy sector - manufacturing of non-biologica...  KTOE  AL   0.0   0.0   \n",
       "1  Energy sector - manufacturing of non-biologica...  KTOE  AT   0.0   0.0   \n",
       "2  Energy sector - manufacturing of non-biologica...  KTOE  BA   0.0   0.0   \n",
       "3  Energy sector - manufacturing of non-biologica...  KTOE  BE   0.0   0.0   \n",
       "4  Energy sector - manufacturing of non-biologica...  KTOE  BG   0.0   0.0   \n",
       "\n",
       "   2006  ...  2013  2014  2015  2016  2017  2018  2019  2020  2021  2022  \n",
       "0   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  \n",
       "1   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  \n",
       "2   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   NaN   NaN  \n",
       "3   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  \n",
       "4   0.0  ...   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(f\"data/{dataset_code}.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create a nice dataset file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "Year                                                                2004-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2005-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2006-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2007-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2008-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2009-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2010-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2011-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2012-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2013-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2014-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2015-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2016-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2017-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2018-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2019-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2020-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          0.0   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2021-01-01  \\\n",
       "siec_name   nrg_bal_name                                       geo               \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0   \n",
       "                                                               AT          0.0   \n",
       "                                                               BA          NaN   \n",
       "                                                               BE          0.0   \n",
       "                                                               BG          0.0   \n",
       "\n",
       "Year                                                                2022-01-01  \n",
       "siec_name   nrg_bal_name                                       geo              \n",
       "Electricity Energy sector - manufacturing of non-biological... AL          0.0  \n",
       "                                                               AT          0.0  \n",
       "                                                               BA          NaN  \n",
       "                                                               BE          0.0  \n",
       "                                                               BG          0.0  "
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(f\"data/{dataset_code}.csv\", index_col=0)\n",
    "df = df.set_index([\"siec_name\", \"nrg_bal_name\", \"geo\"])[\n",
    "    [\n",
    "        \"2004\",\n",
    "        \"2005\",\n",
    "        \"2006\",\n",
    "        \"2007\",\n",
    "        \"2008\",\n",
    "        \"2009\",\n",
    "        \"2010\",\n",
    "        \"2011\",\n",
    "        \"2012\",\n",
    "        \"2013\",\n",
    "        \"2014\",\n",
    "        \"2015\",\n",
    "        \"2016\",\n",
    "        \"2017\",\n",
    "        \"2018\",\n",
    "        \"2019\",\n",
    "        \"2020\",\n",
    "        \"2021\",\n",
    "        \"2022\",\n",
    "    ]\n",
    "]\n",
    "df.columns = pd.to_datetime(df.columns)\n",
    "df.columns.name = \"Year\"\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
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       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
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       "\n",
       ".xr-text-repr-fallback {\n",
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       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
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       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
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       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
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       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
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       "\n",
       ".xr-section-summary {\n",
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       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
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       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
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       "\n",
       ".xr-section-inline-details {\n",
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       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
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       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
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       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
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       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
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       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
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       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
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       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (siec_name: 40, nrg_bal_name: 14, geo: 41, Year: 19)&gt; Size: 3MB\n",
       "array([[[[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]]]])\n",
       "Coordinates:\n",
       "  * siec_name     (siec_name) object 320B &#x27;Biogases&#x27; ... &#x27;Total&#x27;\n",
       "  * nrg_bal_name  (nrg_bal_name) object 112B &#x27;7% limit - transport target&#x27; .....\n",
       "  * geo           (geo) object 328B &#x27;AL&#x27; &#x27;AT&#x27; &#x27;BA&#x27; &#x27;BE&#x27; ... &#x27;SK&#x27; &#x27;TR&#x27; &#x27;UK&#x27; &#x27;XK&#x27;\n",
       "  * Year          (Year) datetime64[ns] 152B 2004-01-01 ... 2022-01-01</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>siec_name</span>: 40</li><li><span class='xr-has-index'>nrg_bal_name</span>: 14</li><li><span class='xr-has-index'>geo</span>: 41</li><li><span class='xr-has-index'>Year</span>: 19</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6620ad89-0513-4499-8ebd-62cc0c160a8f' class='xr-array-in' type='checkbox' checked><label for='section-6620ad89-0513-4499-8ebd-62cc0c160a8f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]]]])</pre></div></div></li><li class='xr-section-item'><input id='section-5c61395a-0c0b-48b0-a353-46a317841744' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5c61395a-0c0b-48b0-a353-46a317841744' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>siec_name</span></div><div class='xr-var-dims'>(siec_name)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Biogases&#x27; ... &#x27;Total&#x27;</div><input id='attrs-bba8ccf7-30ef-4163-b0a3-2139bb9e0f6f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bba8ccf7-30ef-4163-b0a3-2139bb9e0f6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52c62968-8884-46dc-bf6b-13e894dd6358' class='xr-var-data-in' type='checkbox'><label for='data-52c62968-8884-46dc-bf6b-13e894dd6358' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Biogases&#x27;, &#x27;Blended biogases&#x27;, &#x27;Electricity&#x27;,\n",
       "       &#x27;Electricity - non-renewable&#x27;, &#x27;Electricity - renewable&#x27;,\n",
       "       &#x27;Grandfathered biofuels&#x27;, &#x27;Hydrogen of renewable origin&#x27;,\n",
       "       &#x27;Liquid biofuels&#x27;, &#x27;Renewables and biofuels&#x27;, &#x27;Sustainable biofuels&#x27;,\n",
       "       &#x27;Sustainable biofuels - other&#x27;,\n",
       "       &#x27;Sustainable biofuels 3(4)d first paragraph - from cereal and other starch-rich crops, sugars and oil crops and from crops grown as main crops primarily for energy purposes on agricultural land&#x27;,\n",
       "       &#x27;Sustainable biofuels 3(4)d third paragraph, subsection (i) and (ii)&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (a) - from algae&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (b) - from biomass in mixed municipal waste&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (c) - from biowaste&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (d) - from biomass in industrial waste&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (e) - from straw&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (f) - from animal manure and sewage sludge&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (g) - from palm oil effluent and empty palm fruit bunches&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (h) - from tall oil pitch&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (i) - from crude glycerine&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (j) - from bagasse&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (k) - from grape marcs and wine lees&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (l) - from nut shells&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (m) - from husks&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (n) - from cobs cleaned of kernels of corn&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (o) - from biomass fraction of wastes and residues from forestry and forest-based industries&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (p) - from other non-food cellulosic material - article 2 second paragraph point (s)&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (q) - from other ligno-cellulosic material - article 2 second paragraph point (r) except saw logs and veneer logs&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (r) - from renewable liquid and gaseous transport fuels of non-biological origin&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (s) - from carbon capture and utilisation for transport purposes, if the energy source is renewable - article 2 second paragraph point (a)&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (t) - from bacteria, if the energy source is renewable - article 2 second paragraph point (a)&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part B&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part B (a) - from used cooking oil&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part B (b) - from animal fats classified as categories 1 and 2 (Regulation (EC) No 1069/2009)&#x27;,\n",
       "       &#x27;Synthetic fuels of renewable origin&#x27;, &#x27;Total&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nrg_bal_name</span></div><div class='xr-var-dims'>(nrg_bal_name)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;7% limit - transport target&#x27; .....</div><input id='attrs-3982c606-a920-44c5-b58f-9895c8468719' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3982c606-a920-44c5-b58f-9895c8468719' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2473bf92-0574-446b-b9d9-57a01ad0b112' class='xr-var-data-in' type='checkbox'><label for='data-2473bf92-0574-446b-b9d9-57a01ad0b112' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;7% limit - transport target&#x27;,\n",
       "       &#x27;Biofuels contribution - 7% limit - transport&#x27;,\n",
       "       &#x27;Biogas - grid - adjusted share&#x27;, &#x27;Biogas - grid - transport&#x27;,\n",
       "       &#x27;Energy sector - manufacturing of non-biological fuels of renewable origin used in transport - energy use&#x27;,\n",
       "       &#x27;Final consumption - other transport sector- energy use - Renewable Energy Directive&#x27;,\n",
       "       &#x27;Final consumption - transport sector - energy use - Renewable Energy Directive&#x27;,\n",
       "       &#x27;Final consumption - transport sector - rail - energy use - Renewable Energy Directive&#x27;,\n",
       "       &#x27;Final consumption - transport sector - road - energy use - Renewable Energy Directive&#x27;,\n",
       "       &#x27;Gross final consumption - transport - energy use - with multipliers&#x27;,\n",
       "       &#x27;Gross final consumption - transport - energy use - without multipliers&#x27;,\n",
       "       &#x27;Share of biofuels from food sources&#x27;, &#x27;Share of biogas - grid&#x27;,\n",
       "       &#x27;Statistical transfers between Member States - transport&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>geo</span></div><div class='xr-var-dims'>(geo)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;AL&#x27; &#x27;AT&#x27; &#x27;BA&#x27; ... &#x27;TR&#x27; &#x27;UK&#x27; &#x27;XK&#x27;</div><input id='attrs-3f81bb3a-e6eb-40cf-b485-49d9b87f3e6b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3f81bb3a-e6eb-40cf-b485-49d9b87f3e6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f39870f2-65b4-4d95-9a5f-19939cf5b180' class='xr-var-data-in' type='checkbox'><label for='data-f39870f2-65b4-4d95-9a5f-19939cf5b180' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;AL&#x27;, &#x27;AT&#x27;, &#x27;BA&#x27;, &#x27;BE&#x27;, &#x27;BG&#x27;, &#x27;CY&#x27;, &#x27;CZ&#x27;, &#x27;DE&#x27;, &#x27;DK&#x27;, &#x27;EA20&#x27;, &#x27;EE&#x27;,\n",
       "       &#x27;EL&#x27;, &#x27;ES&#x27;, &#x27;EU27_2020&#x27;, &#x27;FI&#x27;, &#x27;FR&#x27;, &#x27;GE&#x27;, &#x27;HR&#x27;, &#x27;HU&#x27;, &#x27;IE&#x27;, &#x27;IS&#x27;, &#x27;IT&#x27;,\n",
       "       &#x27;LT&#x27;, &#x27;LU&#x27;, &#x27;LV&#x27;, &#x27;MD&#x27;, &#x27;ME&#x27;, &#x27;MK&#x27;, &#x27;MT&#x27;, &#x27;NL&#x27;, &#x27;NO&#x27;, &#x27;PL&#x27;, &#x27;PT&#x27;, &#x27;RO&#x27;,\n",
       "       &#x27;RS&#x27;, &#x27;SE&#x27;, &#x27;SI&#x27;, &#x27;SK&#x27;, &#x27;TR&#x27;, &#x27;UK&#x27;, &#x27;XK&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Year</span></div><div class='xr-var-dims'>(Year)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2004-01-01 ... 2022-01-01</div><input id='attrs-50826782-527e-43a0-a08a-e8134f6d6a4f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-50826782-527e-43a0-a08a-e8134f6d6a4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48ef3a1c-27f2-481c-9954-eb380e0e6ea8' class='xr-var-data-in' type='checkbox'><label for='data-48ef3a1c-27f2-481c-9954-eb380e0e6ea8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2004-01-01T00:00:00.000000000&#x27;, &#x27;2005-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-01-01T00:00:00.000000000&#x27;, &#x27;2007-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-01-01T00:00:00.000000000&#x27;, &#x27;2009-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2011-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-01-01T00:00:00.000000000&#x27;, &#x27;2015-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-01-01T00:00:00.000000000&#x27;, &#x27;2017-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-01-01T00:00:00.000000000&#x27;, &#x27;2019-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2020-01-01T00:00:00.000000000&#x27;, &#x27;2021-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-01-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e2b76726-43e9-4823-bebf-9688a01de50c' class='xr-section-summary-in' type='checkbox'  ><label for='section-e2b76726-43e9-4823-bebf-9688a01de50c' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>siec_name</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-61b57202-59d3-42c5-9bb7-2e9882d2d682' class='xr-index-data-in' type='checkbox'/><label for='index-61b57202-59d3-42c5-9bb7-2e9882d2d682' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;Biogases&#x27;, &#x27;Blended biogases&#x27;, &#x27;Electricity&#x27;,\n",
       "       &#x27;Electricity - non-renewable&#x27;, &#x27;Electricity - renewable&#x27;,\n",
       "       &#x27;Grandfathered biofuels&#x27;, &#x27;Hydrogen of renewable origin&#x27;,\n",
       "       &#x27;Liquid biofuels&#x27;, &#x27;Renewables and biofuels&#x27;, &#x27;Sustainable biofuels&#x27;,\n",
       "       &#x27;Sustainable biofuels - other&#x27;,\n",
       "       &#x27;Sustainable biofuels 3(4)d first paragraph - from cereal and other starch-rich crops, sugars and oil crops and from crops grown as main crops primarily for energy purposes on agricultural land&#x27;,\n",
       "       &#x27;Sustainable biofuels 3(4)d third paragraph, subsection (i) and (ii)&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (a) - from algae&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (b) - from biomass in mixed municipal waste&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (c) - from biowaste&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (d) - from biomass in industrial waste&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (e) - from straw&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (f) - from animal manure and sewage sludge&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (g) - from palm oil effluent and empty palm fruit bunches&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (h) - from tall oil pitch&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (i) - from crude glycerine&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (j) - from bagasse&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (k) - from grape marcs and wine lees&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (l) - from nut shells&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (m) - from husks&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (n) - from cobs cleaned of kernels of corn&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (o) - from biomass fraction of wastes and residues from forestry and forest-based industries&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (p) - from other non-food cellulosic material - article 2 second paragraph point (s)&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (q) - from other ligno-cellulosic material - article 2 second paragraph point (r) except saw logs and veneer logs&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (r) - from renewable liquid and gaseous transport fuels of non-biological origin&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (s) - from carbon capture and utilisation for transport purposes, if the energy source is renewable - article 2 second paragraph point (a)&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (t) - from bacteria, if the energy source is renewable - article 2 second paragraph point (a)&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part B&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part B (a) - from used cooking oil&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part B (b) - from animal fats classified as categories 1 and 2 (Regulation (EC) No 1069/2009)&#x27;,\n",
       "       &#x27;Synthetic fuels of renewable origin&#x27;, &#x27;Total&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;siec_name&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>nrg_bal_name</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-46fec703-0c92-4c1d-86be-971c6170b5bc' class='xr-index-data-in' type='checkbox'/><label for='index-46fec703-0c92-4c1d-86be-971c6170b5bc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;7% limit - transport target&#x27;,\n",
       "       &#x27;Biofuels contribution - 7% limit - transport&#x27;,\n",
       "       &#x27;Biogas - grid - adjusted share&#x27;, &#x27;Biogas - grid - transport&#x27;,\n",
       "       &#x27;Energy sector - manufacturing of non-biological fuels of renewable origin used in transport - energy use&#x27;,\n",
       "       &#x27;Final consumption - other transport sector- energy use - Renewable Energy Directive&#x27;,\n",
       "       &#x27;Final consumption - transport sector - energy use - Renewable Energy Directive&#x27;,\n",
       "       &#x27;Final consumption - transport sector - rail - energy use - Renewable Energy Directive&#x27;,\n",
       "       &#x27;Final consumption - transport sector - road - energy use - Renewable Energy Directive&#x27;,\n",
       "       &#x27;Gross final consumption - transport - energy use - with multipliers&#x27;,\n",
       "       &#x27;Gross final consumption - transport - energy use - without multipliers&#x27;,\n",
       "       &#x27;Share of biofuels from food sources&#x27;, &#x27;Share of biogas - grid&#x27;,\n",
       "       &#x27;Statistical transfers between Member States - transport&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;nrg_bal_name&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>geo</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a8cc12d1-db35-474c-8921-a6f43bd64f3c' class='xr-index-data-in' type='checkbox'/><label for='index-a8cc12d1-db35-474c-8921-a6f43bd64f3c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;AL&#x27;, &#x27;AT&#x27;, &#x27;BA&#x27;, &#x27;BE&#x27;, &#x27;BG&#x27;, &#x27;CY&#x27;, &#x27;CZ&#x27;, &#x27;DE&#x27;, &#x27;DK&#x27;, &#x27;EA20&#x27;, &#x27;EE&#x27;,\n",
       "       &#x27;EL&#x27;, &#x27;ES&#x27;, &#x27;EU27_2020&#x27;, &#x27;FI&#x27;, &#x27;FR&#x27;, &#x27;GE&#x27;, &#x27;HR&#x27;, &#x27;HU&#x27;, &#x27;IE&#x27;, &#x27;IS&#x27;, &#x27;IT&#x27;,\n",
       "       &#x27;LT&#x27;, &#x27;LU&#x27;, &#x27;LV&#x27;, &#x27;MD&#x27;, &#x27;ME&#x27;, &#x27;MK&#x27;, &#x27;MT&#x27;, &#x27;NL&#x27;, &#x27;NO&#x27;, &#x27;PL&#x27;, &#x27;PT&#x27;, &#x27;RO&#x27;,\n",
       "       &#x27;RS&#x27;, &#x27;SE&#x27;, &#x27;SI&#x27;, &#x27;SK&#x27;, &#x27;TR&#x27;, &#x27;UK&#x27;, &#x27;XK&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;geo&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>Year</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2ec1f8be-7012-4ce4-bd66-3ff8406db655' class='xr-index-data-in' type='checkbox'/><label for='index-2ec1f8be-7012-4ce4-bd66-3ff8406db655' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2004-01-01&#x27;, &#x27;2005-01-01&#x27;, &#x27;2006-01-01&#x27;, &#x27;2007-01-01&#x27;,\n",
       "               &#x27;2008-01-01&#x27;, &#x27;2009-01-01&#x27;, &#x27;2010-01-01&#x27;, &#x27;2011-01-01&#x27;,\n",
       "               &#x27;2012-01-01&#x27;, &#x27;2013-01-01&#x27;, &#x27;2014-01-01&#x27;, &#x27;2015-01-01&#x27;,\n",
       "               &#x27;2016-01-01&#x27;, &#x27;2017-01-01&#x27;, &#x27;2018-01-01&#x27;, &#x27;2019-01-01&#x27;,\n",
       "               &#x27;2020-01-01&#x27;, &#x27;2021-01-01&#x27;, &#x27;2022-01-01&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;Year&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9a95a211-2552-4e0b-853b-aff818e60379' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9a95a211-2552-4e0b-853b-aff818e60379' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (siec_name: 40, nrg_bal_name: 14, geo: 41, Year: 19)> Size: 3MB\n",
       "array([[[[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]]]])\n",
       "Coordinates:\n",
       "  * siec_name     (siec_name) object 320B 'Biogases' ... 'Total'\n",
       "  * nrg_bal_name  (nrg_bal_name) object 112B '7% limit - transport target' .....\n",
       "  * geo           (geo) object 328B 'AL' 'AT' 'BA' 'BE' ... 'SK' 'TR' 'UK' 'XK'\n",
       "  * Year          (Year) datetime64[ns] 152B 2004-01-01 ... 2022-01-01"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = df.stack().to_xarray()\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds.to_netcdf(f\"data/{dataset_code}.nc\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (siec_name: 40, nrg_bal_name: 14, geo: 41, Year: 19)&gt; Size: 3MB\n",
       "[436240 values with dtype=float64]\n",
       "Coordinates:\n",
       "  * geo           (geo) object 328B &#x27;AL&#x27; &#x27;AT&#x27; &#x27;BA&#x27; &#x27;BE&#x27; ... &#x27;SK&#x27; &#x27;TR&#x27; &#x27;UK&#x27; &#x27;XK&#x27;\n",
       "  * siec_name     (siec_name) object 320B &#x27;Biogases&#x27; ... &#x27;Total&#x27;\n",
       "  * Year          (Year) datetime64[ns] 152B 2004-01-01 ... 2022-01-01\n",
       "  * nrg_bal_name  (nrg_bal_name) object 112B &#x27;7% limit - transport target&#x27; .....</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>siec_name</span>: 40</li><li><span class='xr-has-index'>nrg_bal_name</span>: 14</li><li><span class='xr-has-index'>geo</span>: 41</li><li><span class='xr-has-index'>Year</span>: 19</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-df86f5c8-ecfc-43e7-a256-776bbc4edd84' class='xr-array-in' type='checkbox' checked><label for='section-df86f5c8-ecfc-43e7-a256-776bbc4edd84' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[436240 values with dtype=float64]</pre></div></div></li><li class='xr-section-item'><input id='section-adc84814-acf7-4b98-9f11-a78eea984841' class='xr-section-summary-in' type='checkbox'  checked><label for='section-adc84814-acf7-4b98-9f11-a78eea984841' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>geo</span></div><div class='xr-var-dims'>(geo)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;AL&#x27; &#x27;AT&#x27; &#x27;BA&#x27; ... &#x27;TR&#x27; &#x27;UK&#x27; &#x27;XK&#x27;</div><input id='attrs-d9e14c2e-b9a9-4218-99ae-605628f0e0d5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d9e14c2e-b9a9-4218-99ae-605628f0e0d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58a1f384-f947-4004-a58b-f8b63bd57d56' class='xr-var-data-in' type='checkbox'><label for='data-58a1f384-f947-4004-a58b-f8b63bd57d56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;AL&#x27;, &#x27;AT&#x27;, &#x27;BA&#x27;, &#x27;BE&#x27;, &#x27;BG&#x27;, &#x27;CY&#x27;, &#x27;CZ&#x27;, &#x27;DE&#x27;, &#x27;DK&#x27;, &#x27;EA20&#x27;, &#x27;EE&#x27;,\n",
       "       &#x27;EL&#x27;, &#x27;ES&#x27;, &#x27;EU27_2020&#x27;, &#x27;FI&#x27;, &#x27;FR&#x27;, &#x27;GE&#x27;, &#x27;HR&#x27;, &#x27;HU&#x27;, &#x27;IE&#x27;, &#x27;IS&#x27;, &#x27;IT&#x27;,\n",
       "       &#x27;LT&#x27;, &#x27;LU&#x27;, &#x27;LV&#x27;, &#x27;MD&#x27;, &#x27;ME&#x27;, &#x27;MK&#x27;, &#x27;MT&#x27;, &#x27;NL&#x27;, &#x27;NO&#x27;, &#x27;PL&#x27;, &#x27;PT&#x27;, &#x27;RO&#x27;,\n",
       "       &#x27;RS&#x27;, &#x27;SE&#x27;, &#x27;SI&#x27;, &#x27;SK&#x27;, &#x27;TR&#x27;, &#x27;UK&#x27;, &#x27;XK&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>siec_name</span></div><div class='xr-var-dims'>(siec_name)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Biogases&#x27; ... &#x27;Total&#x27;</div><input id='attrs-7d6932f8-1421-4d4c-96a9-aac0ba69570f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d6932f8-1421-4d4c-96a9-aac0ba69570f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-169c3ecd-008c-48a6-9810-57c08dd63b0f' class='xr-var-data-in' type='checkbox'><label for='data-169c3ecd-008c-48a6-9810-57c08dd63b0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Biogases&#x27;, &#x27;Blended biogases&#x27;, &#x27;Electricity&#x27;,\n",
       "       &#x27;Electricity - non-renewable&#x27;, &#x27;Electricity - renewable&#x27;,\n",
       "       &#x27;Grandfathered biofuels&#x27;, &#x27;Hydrogen of renewable origin&#x27;,\n",
       "       &#x27;Liquid biofuels&#x27;, &#x27;Renewables and biofuels&#x27;, &#x27;Sustainable biofuels&#x27;,\n",
       "       &#x27;Sustainable biofuels - other&#x27;,\n",
       "       &#x27;Sustainable biofuels 3(4)d first paragraph - from cereal and other starch-rich crops, sugars and oil crops and from crops grown as main crops primarily for energy purposes on agricultural land&#x27;,\n",
       "       &#x27;Sustainable biofuels 3(4)d third paragraph, subsection (i) and (ii)&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (a) - from algae&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (b) - from biomass in mixed municipal waste&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (c) - from biowaste&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (d) - from biomass in industrial waste&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (e) - from straw&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (f) - from animal manure and sewage sludge&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (g) - from palm oil effluent and empty palm fruit bunches&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (h) - from tall oil pitch&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (i) - from crude glycerine&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (j) - from bagasse&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (k) - from grape marcs and wine lees&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (l) - from nut shells&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (m) - from husks&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (n) - from cobs cleaned of kernels of corn&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (o) - from biomass fraction of wastes and residues from forestry and forest-based industries&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (p) - from other non-food cellulosic material - article 2 second paragraph point (s)&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (q) - from other ligno-cellulosic material - article 2 second paragraph point (r) except saw logs and veneer logs&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (r) - from renewable liquid and gaseous transport fuels of non-biological origin&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (s) - from carbon capture and utilisation for transport purposes, if the energy source is renewable - article 2 second paragraph point (a)&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (t) - from bacteria, if the energy source is renewable - article 2 second paragraph point (a)&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part B&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part B (a) - from used cooking oil&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part B (b) - from animal fats classified as categories 1 and 2 (Regulation (EC) No 1069/2009)&#x27;,\n",
       "       &#x27;Synthetic fuels of renewable origin&#x27;, &#x27;Total&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Year</span></div><div class='xr-var-dims'>(Year)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2004-01-01 ... 2022-01-01</div><input id='attrs-1698694b-f5af-424a-9750-057e19b2e3d5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1698694b-f5af-424a-9750-057e19b2e3d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-049a0aff-5688-44f4-aab0-e44567aff09e' class='xr-var-data-in' type='checkbox'><label for='data-049a0aff-5688-44f4-aab0-e44567aff09e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2004-01-01T00:00:00.000000000&#x27;, &#x27;2005-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-01-01T00:00:00.000000000&#x27;, &#x27;2007-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-01-01T00:00:00.000000000&#x27;, &#x27;2009-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2011-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-01-01T00:00:00.000000000&#x27;, &#x27;2015-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-01-01T00:00:00.000000000&#x27;, &#x27;2017-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-01-01T00:00:00.000000000&#x27;, &#x27;2019-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2020-01-01T00:00:00.000000000&#x27;, &#x27;2021-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-01-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nrg_bal_name</span></div><div class='xr-var-dims'>(nrg_bal_name)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;7% limit - transport target&#x27; .....</div><input id='attrs-b756379c-f26e-463c-a0ef-5cb3c9ddc8f6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b756379c-f26e-463c-a0ef-5cb3c9ddc8f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab88c5ef-1a97-453e-8a09-60d86c5f59f4' class='xr-var-data-in' type='checkbox'><label for='data-ab88c5ef-1a97-453e-8a09-60d86c5f59f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;7% limit - transport target&#x27;,\n",
       "       &#x27;Biofuels contribution - 7% limit - transport&#x27;,\n",
       "       &#x27;Biogas - grid - adjusted share&#x27;, &#x27;Biogas - grid - transport&#x27;,\n",
       "       &#x27;Energy sector - manufacturing of non-biological fuels of renewable origin used in transport - energy use&#x27;,\n",
       "       &#x27;Final consumption - other transport sector- energy use - Renewable Energy Directive&#x27;,\n",
       "       &#x27;Final consumption - transport sector - energy use - Renewable Energy Directive&#x27;,\n",
       "       &#x27;Final consumption - transport sector - rail - energy use - Renewable Energy Directive&#x27;,\n",
       "       &#x27;Final consumption - transport sector - road - energy use - Renewable Energy Directive&#x27;,\n",
       "       &#x27;Gross final consumption - transport - energy use - with multipliers&#x27;,\n",
       "       &#x27;Gross final consumption - transport - energy use - without multipliers&#x27;,\n",
       "       &#x27;Share of biofuels from food sources&#x27;, &#x27;Share of biogas - grid&#x27;,\n",
       "       &#x27;Statistical transfers between Member States - transport&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d263c7c8-94b8-499f-ad41-1471aa37e0ef' class='xr-section-summary-in' type='checkbox'  ><label for='section-d263c7c8-94b8-499f-ad41-1471aa37e0ef' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>geo</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0e974769-874a-47dd-9f46-9ac0171cded8' class='xr-index-data-in' type='checkbox'/><label for='index-0e974769-874a-47dd-9f46-9ac0171cded8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;AL&#x27;, &#x27;AT&#x27;, &#x27;BA&#x27;, &#x27;BE&#x27;, &#x27;BG&#x27;, &#x27;CY&#x27;, &#x27;CZ&#x27;, &#x27;DE&#x27;, &#x27;DK&#x27;, &#x27;EA20&#x27;, &#x27;EE&#x27;,\n",
       "       &#x27;EL&#x27;, &#x27;ES&#x27;, &#x27;EU27_2020&#x27;, &#x27;FI&#x27;, &#x27;FR&#x27;, &#x27;GE&#x27;, &#x27;HR&#x27;, &#x27;HU&#x27;, &#x27;IE&#x27;, &#x27;IS&#x27;, &#x27;IT&#x27;,\n",
       "       &#x27;LT&#x27;, &#x27;LU&#x27;, &#x27;LV&#x27;, &#x27;MD&#x27;, &#x27;ME&#x27;, &#x27;MK&#x27;, &#x27;MT&#x27;, &#x27;NL&#x27;, &#x27;NO&#x27;, &#x27;PL&#x27;, &#x27;PT&#x27;, &#x27;RO&#x27;,\n",
       "       &#x27;RS&#x27;, &#x27;SE&#x27;, &#x27;SI&#x27;, &#x27;SK&#x27;, &#x27;TR&#x27;, &#x27;UK&#x27;, &#x27;XK&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;geo&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>siec_name</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-90859dea-ac1b-4dcc-be82-5e9b40ced602' class='xr-index-data-in' type='checkbox'/><label for='index-90859dea-ac1b-4dcc-be82-5e9b40ced602' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;Biogases&#x27;, &#x27;Blended biogases&#x27;, &#x27;Electricity&#x27;,\n",
       "       &#x27;Electricity - non-renewable&#x27;, &#x27;Electricity - renewable&#x27;,\n",
       "       &#x27;Grandfathered biofuels&#x27;, &#x27;Hydrogen of renewable origin&#x27;,\n",
       "       &#x27;Liquid biofuels&#x27;, &#x27;Renewables and biofuels&#x27;, &#x27;Sustainable biofuels&#x27;,\n",
       "       &#x27;Sustainable biofuels - other&#x27;,\n",
       "       &#x27;Sustainable biofuels 3(4)d first paragraph - from cereal and other starch-rich crops, sugars and oil crops and from crops grown as main crops primarily for energy purposes on agricultural land&#x27;,\n",
       "       &#x27;Sustainable biofuels 3(4)d third paragraph, subsection (i) and (ii)&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (a) - from algae&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (b) - from biomass in mixed municipal waste&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (c) - from biowaste&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (d) - from biomass in industrial waste&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (e) - from straw&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (f) - from animal manure and sewage sludge&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (g) - from palm oil effluent and empty palm fruit bunches&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (h) - from tall oil pitch&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (i) - from crude glycerine&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (j) - from bagasse&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (k) - from grape marcs and wine lees&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (l) - from nut shells&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (m) - from husks&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (n) - from cobs cleaned of kernels of corn&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (o) - from biomass fraction of wastes and residues from forestry and forest-based industries&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (p) - from other non-food cellulosic material - article 2 second paragraph point (s)&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (q) - from other ligno-cellulosic material - article 2 second paragraph point (r) except saw logs and veneer logs&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (r) - from renewable liquid and gaseous transport fuels of non-biological origin&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (s) - from carbon capture and utilisation for transport purposes, if the energy source is renewable - article 2 second paragraph point (a)&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part A (t) - from bacteria, if the energy source is renewable - article 2 second paragraph point (a)&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part B&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part B (a) - from used cooking oil&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part B (b) - from animal fats classified as categories 1 and 2 (Regulation (EC) No 1069/2009)&#x27;,\n",
       "       &#x27;Synthetic fuels of renewable origin&#x27;, &#x27;Total&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;siec_name&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>Year</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3757b228-3e8a-4bec-847f-8771df684c04' class='xr-index-data-in' type='checkbox'/><label for='index-3757b228-3e8a-4bec-847f-8771df684c04' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2004-01-01&#x27;, &#x27;2005-01-01&#x27;, &#x27;2006-01-01&#x27;, &#x27;2007-01-01&#x27;,\n",
       "               &#x27;2008-01-01&#x27;, &#x27;2009-01-01&#x27;, &#x27;2010-01-01&#x27;, &#x27;2011-01-01&#x27;,\n",
       "               &#x27;2012-01-01&#x27;, &#x27;2013-01-01&#x27;, &#x27;2014-01-01&#x27;, &#x27;2015-01-01&#x27;,\n",
       "               &#x27;2016-01-01&#x27;, &#x27;2017-01-01&#x27;, &#x27;2018-01-01&#x27;, &#x27;2019-01-01&#x27;,\n",
       "               &#x27;2020-01-01&#x27;, &#x27;2021-01-01&#x27;, &#x27;2022-01-01&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;Year&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>nrg_bal_name</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-71e6658c-1dcb-427c-8d36-627a18e08f51' class='xr-index-data-in' type='checkbox'/><label for='index-71e6658c-1dcb-427c-8d36-627a18e08f51' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;7% limit - transport target&#x27;,\n",
       "       &#x27;Biofuels contribution - 7% limit - transport&#x27;,\n",
       "       &#x27;Biogas - grid - adjusted share&#x27;, &#x27;Biogas - grid - transport&#x27;,\n",
       "       &#x27;Energy sector - manufacturing of non-biological fuels of renewable origin used in transport - energy use&#x27;,\n",
       "       &#x27;Final consumption - other transport sector- energy use - Renewable Energy Directive&#x27;,\n",
       "       &#x27;Final consumption - transport sector - energy use - Renewable Energy Directive&#x27;,\n",
       "       &#x27;Final consumption - transport sector - rail - energy use - Renewable Energy Directive&#x27;,\n",
       "       &#x27;Final consumption - transport sector - road - energy use - Renewable Energy Directive&#x27;,\n",
       "       &#x27;Gross final consumption - transport - energy use - with multipliers&#x27;,\n",
       "       &#x27;Gross final consumption - transport - energy use - without multipliers&#x27;,\n",
       "       &#x27;Share of biofuels from food sources&#x27;, &#x27;Share of biogas - grid&#x27;,\n",
       "       &#x27;Statistical transfers between Member States - transport&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;nrg_bal_name&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-06f2347f-bc53-4c1a-a959-31a26bbcb8f6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-06f2347f-bc53-4c1a-a959-31a26bbcb8f6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (siec_name: 40, nrg_bal_name: 14, geo: 41, Year: 19)> Size: 3MB\n",
       "[436240 values with dtype=float64]\n",
       "Coordinates:\n",
       "  * geo           (geo) object 328B 'AL' 'AT' 'BA' 'BE' ... 'SK' 'TR' 'UK' 'XK'\n",
       "  * siec_name     (siec_name) object 320B 'Biogases' ... 'Total'\n",
       "  * Year          (Year) datetime64[ns] 152B 2004-01-01 ... 2022-01-01\n",
       "  * nrg_bal_name  (nrg_bal_name) object 112B '7% limit - transport target' ....."
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = xr.open_dataarray(f\"data/{dataset_code}.nc\")\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_siec = [\n",
    "    \"Liquid biofuels\",\n",
    "    \"Sustainable biofuels Annex IX, Part A\",\n",
    "    \"Sustainable biofuels Annex IX, Part B\",\n",
    "    \"Biogases\",\n",
    "]\n",
    "list_nrg_bal_name = [\n",
    "    \"Final consumption - other transport sector- energy use - Renewable Energy Directive\",\n",
    "    \"Final consumption - transport sector - energy use - Renewable Energy Directive\",\n",
    "    \"Final consumption - transport sector - rail - energy use - Renewable Energy Directive\",\n",
    "    \"Final consumption - transport sector - road - energy use - Renewable Energy Directive\",\n",
    "]\n",
    "year = \"2022\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_1845/288740879.py:4: DeprecationWarning: dropping variables using `drop` is deprecated; use drop_vars.\n",
      "  .drop(\"geo\")\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# geo \"EU27_2020\", \"EA20\"\n",
    "dsp = (\n",
    "    ds.sel(geo=\"EU27_2020\")\n",
    "    .drop(\"geo\")\n",
    "    .sel(siec_name=list_siec)\n",
    "    .sel(nrg_bal_name=list_nrg_bal_name)\n",
    ").sum(dim=\"nrg_bal_name\")\n",
    "dfp = dsp.to_dataset(\"siec_name\").to_dataframe()\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "dfp.plot(ax=ax, kind=\"area\", alpha=0.4)\n",
    "ax.set_ylabel(\"ktoe / year\")\n",
    "ax.set_title(\"Biofuels use in transport sectors\")\n",
    "plt.savefig(\"plot/biofuel_trend.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (siec_name: 4, geo: 41)&gt; Size: 1kB\n",
       "array([[0.0000000e+00, 4.0277200e+02, 0.0000000e+00, 7.6296000e+02,\n",
       "        1.8609400e+02, 2.4890000e+01, 3.2301500e+02, 2.9576310e+03,\n",
       "        2.4479000e+02, 1.2559355e+04, 2.8020000e+01, 2.1733200e+02,\n",
       "        1.4461830e+03, 1.6933841e+04, 5.4495800e+02, 3.0965210e+03,\n",
       "        0.0000000e+00, 2.1000000e+01, 3.0290000e+02, 2.2963200e+02,\n",
       "        2.2290000e+01, 1.3890700e+03, 1.1960000e+02, 1.2772000e+02,\n",
       "        1.5754000e+01, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00,\n",
       "        1.2609000e+01, 5.7321200e+02, 3.4507900e+02, 1.2034210e+03,\n",
       "        3.4111000e+02, 5.5868000e+02, 0.0000000e+00, 1.5555860e+03,\n",
       "        7.9712000e+01, 1.6867000e+02, 0.0000000e+00, 0.0000000e+00,\n",
       "        0.0000000e+00],\n",
       "       [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 2.8420000e+01,\n",
       "        9.5500000e+00, 3.5500000e+00, 4.8454000e+01, 4.6412200e+02,\n",
       "        1.2660000e+01, 2.4573860e+03, 3.0105000e+01, 0.0000000e+00,\n",
       "        7.6766300e+02, 2.7989060e+03, 7.7899000e+01, 1.3908400e+02,\n",
       "        0.0000000e+00, 0.0000000e+00, 3.6800000e+01, 1.8920000e+01,\n",
       "        1.8600000e+00, 6.1287200e+02, 5.6000000e+00, 3.2550000e+00,\n",
       "        4.7320000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00,\n",
       "        7.6100000e-01, 1.6845800e+02, 2.7093000e+01, 2.5070000e+00,\n",
       "        9.6302000e+01, 0.0000000e+00, 0.0000000e+00, 2.3154900e+02,\n",
       "...\n",
       "        1.8160000e+01, 3.0494850e+03, 8.9200000e-01, 3.4873000e+01,\n",
       "        4.0127900e+02, 3.8921920e+03, 5.7080000e+00, 2.0002300e+02,\n",
       "        0.0000000e+00, 9.4090000e+00, 1.2730000e+02, 1.8756800e+02,\n",
       "        0.0000000e+00, 8.5760500e+02, 2.9000000e+00, 4.9773000e+01,\n",
       "        0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00,\n",
       "        1.1846000e+01, 2.9939400e+02, 3.0259400e+02, 2.7448000e+01,\n",
       "        1.7200400e+02, 0.0000000e+00, 0.0000000e+00, 5.6548500e+02,\n",
       "        4.1790000e+01, 4.1210000e+01, 0.0000000e+00, 0.0000000e+00,\n",
       "        0.0000000e+00],\n",
       "       [0.0000000e+00, 3.8700000e-01, 0.0000000e+00, 6.0000000e-02,\n",
       "        0.0000000e+00, 0.0000000e+00, 3.9121000e+01, 9.1273000e+01,\n",
       "        8.7900000e+00, 3.6123400e+02, 1.2870000e+01, 0.0000000e+00,\n",
       "        0.0000000e+00, 5.2942400e+02, 2.6518000e+01, 3.6470000e+00,\n",
       "        0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 9.4500000e-01,\n",
       "        1.8600000e+00, 1.8486900e+02, 0.0000000e+00, 0.0000000e+00,\n",
       "        0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00,\n",
       "        0.0000000e+00, 4.0666000e+01, 3.1841000e+01, 0.0000000e+00,\n",
       "        0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 1.2027900e+02,\n",
       "        0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00,\n",
       "        0.0000000e+00]])\n",
       "Coordinates:\n",
       "  * geo        (geo) object 328B &#x27;AL&#x27; &#x27;AT&#x27; &#x27;BA&#x27; &#x27;BE&#x27; ... &#x27;SK&#x27; &#x27;TR&#x27; &#x27;UK&#x27; &#x27;XK&#x27;\n",
       "  * siec_name  (siec_name) object 32B &#x27;Liquid biofuels&#x27; ... &#x27;Biogases&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>siec_name</span>: 4</li><li><span class='xr-has-index'>geo</span>: 41</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-576a68dd-e6ff-47e6-a006-3dd888ff38da' class='xr-array-in' type='checkbox' checked><label for='section-576a68dd-e6ff-47e6-a006-3dd888ff38da' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 402.8 0.0 763.0 186.1 24.89 323.0 ... 120.3 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0.0000000e+00, 4.0277200e+02, 0.0000000e+00, 7.6296000e+02,\n",
       "        1.8609400e+02, 2.4890000e+01, 3.2301500e+02, 2.9576310e+03,\n",
       "        2.4479000e+02, 1.2559355e+04, 2.8020000e+01, 2.1733200e+02,\n",
       "        1.4461830e+03, 1.6933841e+04, 5.4495800e+02, 3.0965210e+03,\n",
       "        0.0000000e+00, 2.1000000e+01, 3.0290000e+02, 2.2963200e+02,\n",
       "        2.2290000e+01, 1.3890700e+03, 1.1960000e+02, 1.2772000e+02,\n",
       "        1.5754000e+01, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00,\n",
       "        1.2609000e+01, 5.7321200e+02, 3.4507900e+02, 1.2034210e+03,\n",
       "        3.4111000e+02, 5.5868000e+02, 0.0000000e+00, 1.5555860e+03,\n",
       "        7.9712000e+01, 1.6867000e+02, 0.0000000e+00, 0.0000000e+00,\n",
       "        0.0000000e+00],\n",
       "       [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 2.8420000e+01,\n",
       "        9.5500000e+00, 3.5500000e+00, 4.8454000e+01, 4.6412200e+02,\n",
       "        1.2660000e+01, 2.4573860e+03, 3.0105000e+01, 0.0000000e+00,\n",
       "        7.6766300e+02, 2.7989060e+03, 7.7899000e+01, 1.3908400e+02,\n",
       "        0.0000000e+00, 0.0000000e+00, 3.6800000e+01, 1.8920000e+01,\n",
       "        1.8600000e+00, 6.1287200e+02, 5.6000000e+00, 3.2550000e+00,\n",
       "        4.7320000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00,\n",
       "        7.6100000e-01, 1.6845800e+02, 2.7093000e+01, 2.5070000e+00,\n",
       "        9.6302000e+01, 0.0000000e+00, 0.0000000e+00, 2.3154900e+02,\n",
       "...\n",
       "        1.8160000e+01, 3.0494850e+03, 8.9200000e-01, 3.4873000e+01,\n",
       "        4.0127900e+02, 3.8921920e+03, 5.7080000e+00, 2.0002300e+02,\n",
       "        0.0000000e+00, 9.4090000e+00, 1.2730000e+02, 1.8756800e+02,\n",
       "        0.0000000e+00, 8.5760500e+02, 2.9000000e+00, 4.9773000e+01,\n",
       "        0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00,\n",
       "        1.1846000e+01, 2.9939400e+02, 3.0259400e+02, 2.7448000e+01,\n",
       "        1.7200400e+02, 0.0000000e+00, 0.0000000e+00, 5.6548500e+02,\n",
       "        4.1790000e+01, 4.1210000e+01, 0.0000000e+00, 0.0000000e+00,\n",
       "        0.0000000e+00],\n",
       "       [0.0000000e+00, 3.8700000e-01, 0.0000000e+00, 6.0000000e-02,\n",
       "        0.0000000e+00, 0.0000000e+00, 3.9121000e+01, 9.1273000e+01,\n",
       "        8.7900000e+00, 3.6123400e+02, 1.2870000e+01, 0.0000000e+00,\n",
       "        0.0000000e+00, 5.2942400e+02, 2.6518000e+01, 3.6470000e+00,\n",
       "        0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 9.4500000e-01,\n",
       "        1.8600000e+00, 1.8486900e+02, 0.0000000e+00, 0.0000000e+00,\n",
       "        0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00,\n",
       "        0.0000000e+00, 4.0666000e+01, 3.1841000e+01, 0.0000000e+00,\n",
       "        0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 1.2027900e+02,\n",
       "        0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00,\n",
       "        0.0000000e+00]])</pre></div></div></li><li class='xr-section-item'><input id='section-ee12866c-e26d-4864-a383-9ef828da1edf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ee12866c-e26d-4864-a383-9ef828da1edf' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>geo</span></div><div class='xr-var-dims'>(geo)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;AL&#x27; &#x27;AT&#x27; &#x27;BA&#x27; ... &#x27;TR&#x27; &#x27;UK&#x27; &#x27;XK&#x27;</div><input id='attrs-71e15c28-7375-4e4a-9e2f-d34b05798f8f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-71e15c28-7375-4e4a-9e2f-d34b05798f8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e05ad7d-2661-40c2-9c83-041fe96f2992' class='xr-var-data-in' type='checkbox'><label for='data-2e05ad7d-2661-40c2-9c83-041fe96f2992' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;AL&#x27;, &#x27;AT&#x27;, &#x27;BA&#x27;, &#x27;BE&#x27;, &#x27;BG&#x27;, &#x27;CY&#x27;, &#x27;CZ&#x27;, &#x27;DE&#x27;, &#x27;DK&#x27;, &#x27;EA20&#x27;, &#x27;EE&#x27;,\n",
       "       &#x27;EL&#x27;, &#x27;ES&#x27;, &#x27;EU27_2020&#x27;, &#x27;FI&#x27;, &#x27;FR&#x27;, &#x27;GE&#x27;, &#x27;HR&#x27;, &#x27;HU&#x27;, &#x27;IE&#x27;, &#x27;IS&#x27;, &#x27;IT&#x27;,\n",
       "       &#x27;LT&#x27;, &#x27;LU&#x27;, &#x27;LV&#x27;, &#x27;MD&#x27;, &#x27;ME&#x27;, &#x27;MK&#x27;, &#x27;MT&#x27;, &#x27;NL&#x27;, &#x27;NO&#x27;, &#x27;PL&#x27;, &#x27;PT&#x27;, &#x27;RO&#x27;,\n",
       "       &#x27;RS&#x27;, &#x27;SE&#x27;, &#x27;SI&#x27;, &#x27;SK&#x27;, &#x27;TR&#x27;, &#x27;UK&#x27;, &#x27;XK&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>siec_name</span></div><div class='xr-var-dims'>(siec_name)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Liquid biofuels&#x27; ... &#x27;Biogases&#x27;</div><input id='attrs-3b19a88c-63f9-458f-bf1f-5237749bfb66' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3b19a88c-63f9-458f-bf1f-5237749bfb66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-decc156e-dea1-4c81-9883-a9197946f399' class='xr-var-data-in' type='checkbox'><label for='data-decc156e-dea1-4c81-9883-a9197946f399' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Liquid biofuels&#x27;, &#x27;Sustainable biofuels Annex IX, Part A&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part B&#x27;, &#x27;Biogases&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c64c6bcc-49d7-40b7-b937-621bce4cf320' class='xr-section-summary-in' type='checkbox'  ><label for='section-c64c6bcc-49d7-40b7-b937-621bce4cf320' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>geo</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a470687f-cd33-4646-bfb9-3b15d9dd8a1b' class='xr-index-data-in' type='checkbox'/><label for='index-a470687f-cd33-4646-bfb9-3b15d9dd8a1b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;AL&#x27;, &#x27;AT&#x27;, &#x27;BA&#x27;, &#x27;BE&#x27;, &#x27;BG&#x27;, &#x27;CY&#x27;, &#x27;CZ&#x27;, &#x27;DE&#x27;, &#x27;DK&#x27;, &#x27;EA20&#x27;, &#x27;EE&#x27;,\n",
       "       &#x27;EL&#x27;, &#x27;ES&#x27;, &#x27;EU27_2020&#x27;, &#x27;FI&#x27;, &#x27;FR&#x27;, &#x27;GE&#x27;, &#x27;HR&#x27;, &#x27;HU&#x27;, &#x27;IE&#x27;, &#x27;IS&#x27;, &#x27;IT&#x27;,\n",
       "       &#x27;LT&#x27;, &#x27;LU&#x27;, &#x27;LV&#x27;, &#x27;MD&#x27;, &#x27;ME&#x27;, &#x27;MK&#x27;, &#x27;MT&#x27;, &#x27;NL&#x27;, &#x27;NO&#x27;, &#x27;PL&#x27;, &#x27;PT&#x27;, &#x27;RO&#x27;,\n",
       "       &#x27;RS&#x27;, &#x27;SE&#x27;, &#x27;SI&#x27;, &#x27;SK&#x27;, &#x27;TR&#x27;, &#x27;UK&#x27;, &#x27;XK&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;geo&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>siec_name</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7dec3d99-d753-4fc7-aee8-a0f7f37dc4cb' class='xr-index-data-in' type='checkbox'/><label for='index-7dec3d99-d753-4fc7-aee8-a0f7f37dc4cb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;Liquid biofuels&#x27;, &#x27;Sustainable biofuels Annex IX, Part A&#x27;,\n",
       "       &#x27;Sustainable biofuels Annex IX, Part B&#x27;, &#x27;Biogases&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;siec_name&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5b9526e4-d4dd-4fe9-a888-4896998db664' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5b9526e4-d4dd-4fe9-a888-4896998db664' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (siec_name: 4, geo: 41)> Size: 1kB\n",
       "array([[0.0000000e+00, 4.0277200e+02, 0.0000000e+00, 7.6296000e+02,\n",
       "        1.8609400e+02, 2.4890000e+01, 3.2301500e+02, 2.9576310e+03,\n",
       "        2.4479000e+02, 1.2559355e+04, 2.8020000e+01, 2.1733200e+02,\n",
       "        1.4461830e+03, 1.6933841e+04, 5.4495800e+02, 3.0965210e+03,\n",
       "        0.0000000e+00, 2.1000000e+01, 3.0290000e+02, 2.2963200e+02,\n",
       "        2.2290000e+01, 1.3890700e+03, 1.1960000e+02, 1.2772000e+02,\n",
       "        1.5754000e+01, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00,\n",
       "        1.2609000e+01, 5.7321200e+02, 3.4507900e+02, 1.2034210e+03,\n",
       "        3.4111000e+02, 5.5868000e+02, 0.0000000e+00, 1.5555860e+03,\n",
       "        7.9712000e+01, 1.6867000e+02, 0.0000000e+00, 0.0000000e+00,\n",
       "        0.0000000e+00],\n",
       "       [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 2.8420000e+01,\n",
       "        9.5500000e+00, 3.5500000e+00, 4.8454000e+01, 4.6412200e+02,\n",
       "        1.2660000e+01, 2.4573860e+03, 3.0105000e+01, 0.0000000e+00,\n",
       "        7.6766300e+02, 2.7989060e+03, 7.7899000e+01, 1.3908400e+02,\n",
       "        0.0000000e+00, 0.0000000e+00, 3.6800000e+01, 1.8920000e+01,\n",
       "        1.8600000e+00, 6.1287200e+02, 5.6000000e+00, 3.2550000e+00,\n",
       "        4.7320000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00,\n",
       "        7.6100000e-01, 1.6845800e+02, 2.7093000e+01, 2.5070000e+00,\n",
       "        9.6302000e+01, 0.0000000e+00, 0.0000000e+00, 2.3154900e+02,\n",
       "...\n",
       "        1.8160000e+01, 3.0494850e+03, 8.9200000e-01, 3.4873000e+01,\n",
       "        4.0127900e+02, 3.8921920e+03, 5.7080000e+00, 2.0002300e+02,\n",
       "        0.0000000e+00, 9.4090000e+00, 1.2730000e+02, 1.8756800e+02,\n",
       "        0.0000000e+00, 8.5760500e+02, 2.9000000e+00, 4.9773000e+01,\n",
       "        0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00,\n",
       "        1.1846000e+01, 2.9939400e+02, 3.0259400e+02, 2.7448000e+01,\n",
       "        1.7200400e+02, 0.0000000e+00, 0.0000000e+00, 5.6548500e+02,\n",
       "        4.1790000e+01, 4.1210000e+01, 0.0000000e+00, 0.0000000e+00,\n",
       "        0.0000000e+00],\n",
       "       [0.0000000e+00, 3.8700000e-01, 0.0000000e+00, 6.0000000e-02,\n",
       "        0.0000000e+00, 0.0000000e+00, 3.9121000e+01, 9.1273000e+01,\n",
       "        8.7900000e+00, 3.6123400e+02, 1.2870000e+01, 0.0000000e+00,\n",
       "        0.0000000e+00, 5.2942400e+02, 2.6518000e+01, 3.6470000e+00,\n",
       "        0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 9.4500000e-01,\n",
       "        1.8600000e+00, 1.8486900e+02, 0.0000000e+00, 0.0000000e+00,\n",
       "        0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00,\n",
       "        0.0000000e+00, 4.0666000e+01, 3.1841000e+01, 0.0000000e+00,\n",
       "        0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 1.2027900e+02,\n",
       "        0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00,\n",
       "        0.0000000e+00]])\n",
       "Coordinates:\n",
       "  * geo        (geo) object 328B 'AL' 'AT' 'BA' 'BE' ... 'SK' 'TR' 'UK' 'XK'\n",
       "  * siec_name  (siec_name) object 32B 'Liquid biofuels' ... 'Biogases'"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# geo \"EU27_2020\", \"EA20\"\n",
    "dsp = (\n",
    "    (ds.sel(siec_name=list_siec).sel(nrg_bal_name=list_nrg_bal_name))\n",
    "    .sum(dim=\"nrg_bal_name\")\n",
    "    .sel(Year=year)\n",
    "    .drop_vars(\"Year\")\n",
    "    .squeeze()\n",
    ")\n",
    "dsp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_country_name(country_code):\n",
    "    match country_code:\n",
    "        case \"XK\":\n",
    "            country_name = \"Kosovo\"\n",
    "        case \"EL\":\n",
    "            country_name = \"Greece\"\n",
    "        case \"UK\":\n",
    "            country_name = \"United Kingdom\"\n",
    "        case _:\n",
    "            country_name = pycountry.countries.get(alpha_2=country_code).name\n",
    "    return country_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "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>Liquid biofuels</th>\n",
       "      <th>Sustainable biofuels Annex IX, Part A</th>\n",
       "      <th>Sustainable biofuels Annex IX, Part B</th>\n",
       "      <th>Biogases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Finland</th>\n",
       "      <td>544.958</td>\n",
       "      <td>77.899</td>\n",
       "      <td>5.708</td>\n",
       "      <td>26.518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Norway</th>\n",
       "      <td>345.079</td>\n",
       "      <td>27.093</td>\n",
       "      <td>302.594</td>\n",
       "      <td>31.841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belgium</th>\n",
       "      <td>762.960</td>\n",
       "      <td>28.420</td>\n",
       "      <td>55.314</td>\n",
       "      <td>0.060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>573.212</td>\n",
       "      <td>168.458</td>\n",
       "      <td>299.394</td>\n",
       "      <td>40.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Poland</th>\n",
       "      <td>1203.421</td>\n",
       "      <td>2.507</td>\n",
       "      <td>27.448</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sweden</th>\n",
       "      <td>1555.586</td>\n",
       "      <td>231.549</td>\n",
       "      <td>565.485</td>\n",
       "      <td>120.279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>1446.183</td>\n",
       "      <td>767.663</td>\n",
       "      <td>401.279</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>1389.070</td>\n",
       "      <td>612.872</td>\n",
       "      <td>857.605</td>\n",
       "      <td>184.869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>3096.521</td>\n",
       "      <td>139.084</td>\n",
       "      <td>200.023</td>\n",
       "      <td>3.647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>2957.631</td>\n",
       "      <td>464.122</td>\n",
       "      <td>640.324</td>\n",
       "      <td>91.273</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Liquid biofuels  Sustainable biofuels Annex IX, Part A  \\\n",
       "Finland              544.958                                 77.899   \n",
       "Norway               345.079                                 27.093   \n",
       "Belgium              762.960                                 28.420   \n",
       "Netherlands          573.212                                168.458   \n",
       "Poland              1203.421                                  2.507   \n",
       "Sweden              1555.586                                231.549   \n",
       "Spain               1446.183                                767.663   \n",
       "Italy               1389.070                                612.872   \n",
       "France              3096.521                                139.084   \n",
       "Germany             2957.631                                464.122   \n",
       "\n",
       "             Sustainable biofuels Annex IX, Part B  Biogases  \n",
       "Finland                                      5.708    26.518  \n",
       "Norway                                     302.594    31.841  \n",
       "Belgium                                     55.314     0.060  \n",
       "Netherlands                                299.394    40.666  \n",
       "Poland                                      27.448     0.000  \n",
       "Sweden                                     565.485   120.279  \n",
       "Spain                                      401.279     0.000  \n",
       "Italy                                      857.605   184.869  \n",
       "France                                     200.023     3.647  \n",
       "Germany                                    640.324    91.273  "
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfp = dsp.to_dataset(\"siec_name\").to_dataframe()\n",
    "dfp = dfp.drop([\"EU27_2020\", \"EA20\", \"UK\"])\n",
    "dfp[\"Total\"] = dfp.sum(axis=1)\n",
    "dfp = dfp.sort_values(\"Total\", ascending=True)\n",
    "dfp = dfp.drop(\"Total\", axis=1)\n",
    "\n",
    "dfp.index = [get_country_name(idx) for idx in dfp.index]\n",
    "dfp.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6, 4))\n",
    "dfp.iloc[-10:].plot(kind=\"barh\", stacked=True, ax=ax, alpha=0.5)\n",
    "ax.set_xlabel(\"ktoe/year\")\n",
    "ax.set_title(\"Top countries in biofuels use in transport sectors\")\n",
    "fig.savefig(\"plot/top_countries.png\", bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}