Final_Plot_Both.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e3f4684a-b732-41a0-bdd4-8ad1d4018803",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from itertools import takewhile\n",
    "import plotly.graph_objects as go\n",
    "import base64\n",
    "import numpy as np\n",
    "from dare_viz import path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "53745bad-be7d-442c-9249-b4bd41e0e24f",
   "metadata": {},
   "outputs": [],
   "source": [
    "xlsCH4 = pd.ExcelFile('GBR_2022_2020_10052022_142545.xlsx')\n",
    "dfCH4 = pd.read_excel(xlsCH4, 'Table10s3', header=4)\n",
    "dfCH4.set_index(\"GREENHOUSE GAS SOURCE AND SINK CATEGORIES\", inplace=True)\n",
    "dfCH4.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "855303c1-23f1-4602-8ef8-c38751a48ab1",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfCH4.drop(\n",
    "    labels = [\"D.  Non-energy products from fuels and solvent use\", \"G.  Other product manufacture and use \", \"C.  Rice cultivation\", \"D.  Agricultural soils\", \"E.  Prescribed burning of savannas\", \"F.  Other land\", \"E.  Other \",\"6.  Other (as specified in summary 1.A)\", \"International bunkers\", \"Navigation\", \"Multilateral operations\",\n",
    " \"Aviation\"],\n",
    "    axis=0,\n",
    "    inplace = True\n",
    ")\n",
    "dfCH4.drop(\n",
    "    labels = [\"Base year(1)\", \"Change from base to latest reported year\"],\n",
    "    axis=1,\n",
    "    inplace = True\n",
    ")\n",
    "#dfCH4"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "794c6fa3-8c00-44f0-b64a-bda0a616476c",
   "metadata": {},
   "source": [
    "Convert Inventory data to CO2equ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ef8699f1-75da-4a31-87d2-9ca0f4d28d38",
   "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>1990</th>\n",
       "      <th>1991</th>\n",
       "      <th>1992</th>\n",
       "      <th>1993</th>\n",
       "      <th>1994</th>\n",
       "      <th>1995</th>\n",
       "      <th>1996</th>\n",
       "      <th>1997</th>\n",
       "      <th>1998</th>\n",
       "      <th>1999</th>\n",
       "      <th>...</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GREENHOUSE GAS SOURCE AND SINK CATEGORIES</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1. Energy</th>\n",
       "      <td>41.893554</td>\n",
       "      <td>42.472735</td>\n",
       "      <td>41.944533</td>\n",
       "      <td>39.787822</td>\n",
       "      <td>31.377826</td>\n",
       "      <td>32.339153</td>\n",
       "      <td>30.594004</td>\n",
       "      <td>28.194927</td>\n",
       "      <td>25.55663</td>\n",
       "      <td>22.608398</td>\n",
       "      <td>...</td>\n",
       "      <td>10.840491</td>\n",
       "      <td>10.762349</td>\n",
       "      <td>9.459737</td>\n",
       "      <td>8.986685</td>\n",
       "      <td>8.50566</td>\n",
       "      <td>7.444011</td>\n",
       "      <td>7.365613</td>\n",
       "      <td>7.351718</td>\n",
       "      <td>7.111938</td>\n",
       "      <td>6.595589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A. Fuel combustion (sectoral approach)</th>\n",
       "      <td>3.624305</td>\n",
       "      <td>3.76515</td>\n",
       "      <td>3.563885</td>\n",
       "      <td>3.643731</td>\n",
       "      <td>3.304415</td>\n",
       "      <td>2.863886</td>\n",
       "      <td>2.883697</td>\n",
       "      <td>2.667514</td>\n",
       "      <td>2.45005</td>\n",
       "      <td>2.514568</td>\n",
       "      <td>...</td>\n",
       "      <td>1.218327</td>\n",
       "      <td>1.214207</td>\n",
       "      <td>1.242826</td>\n",
       "      <td>1.20696</td>\n",
       "      <td>1.264301</td>\n",
       "      <td>1.301041</td>\n",
       "      <td>1.334846</td>\n",
       "      <td>1.385392</td>\n",
       "      <td>1.375673</td>\n",
       "      <td>1.350114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.  Energy industries</th>\n",
       "      <td>0.261169</td>\n",
       "      <td>0.260316</td>\n",
       "      <td>0.266051</td>\n",
       "      <td>0.277824</td>\n",
       "      <td>0.281686</td>\n",
       "      <td>0.293679</td>\n",
       "      <td>0.30172</td>\n",
       "      <td>0.310536</td>\n",
       "      <td>0.222834</td>\n",
       "      <td>0.341388</td>\n",
       "      <td>...</td>\n",
       "      <td>0.327719</td>\n",
       "      <td>0.315065</td>\n",
       "      <td>0.314769</td>\n",
       "      <td>0.35666</td>\n",
       "      <td>0.372519</td>\n",
       "      <td>0.396597</td>\n",
       "      <td>0.414089</td>\n",
       "      <td>0.424772</td>\n",
       "      <td>0.434235</td>\n",
       "      <td>0.427896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.  Manufacturing industries and construction</th>\n",
       "      <td>0.128494</td>\n",
       "      <td>0.131914</td>\n",
       "      <td>0.132401</td>\n",
       "      <td>0.122577</td>\n",
       "      <td>0.130581</td>\n",
       "      <td>0.127163</td>\n",
       "      <td>0.117903</td>\n",
       "      <td>0.108579</td>\n",
       "      <td>0.107059</td>\n",
       "      <td>0.105491</td>\n",
       "      <td>...</td>\n",
       "      <td>0.100137</td>\n",
       "      <td>0.094907</td>\n",
       "      <td>0.099944</td>\n",
       "      <td>0.114052</td>\n",
       "      <td>0.119652</td>\n",
       "      <td>0.12238</td>\n",
       "      <td>0.135329</td>\n",
       "      <td>0.145383</td>\n",
       "      <td>0.144203</td>\n",
       "      <td>0.150268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.  Transport</th>\n",
       "      <td>1.419076</td>\n",
       "      <td>1.402901</td>\n",
       "      <td>1.385766</td>\n",
       "      <td>1.324735</td>\n",
       "      <td>1.22381</td>\n",
       "      <td>1.122796</td>\n",
       "      <td>1.08195</td>\n",
       "      <td>1.005022</td>\n",
       "      <td>0.916582</td>\n",
       "      <td>0.849648</td>\n",
       "      <td>...</td>\n",
       "      <td>0.189919</td>\n",
       "      <td>0.169727</td>\n",
       "      <td>0.151375</td>\n",
       "      <td>0.140871</td>\n",
       "      <td>0.13113</td>\n",
       "      <td>0.123074</td>\n",
       "      <td>0.116773</td>\n",
       "      <td>0.11154</td>\n",
       "      <td>0.109367</td>\n",
       "      <td>0.085924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.  Other sectors</th>\n",
       "      <td>1.811582</td>\n",
       "      <td>1.966984</td>\n",
       "      <td>1.776751</td>\n",
       "      <td>1.915538</td>\n",
       "      <td>1.665393</td>\n",
       "      <td>1.317381</td>\n",
       "      <td>1.379339</td>\n",
       "      <td>1.240799</td>\n",
       "      <td>1.201178</td>\n",
       "      <td>1.215741</td>\n",
       "      <td>...</td>\n",
       "      <td>0.598531</td>\n",
       "      <td>0.63265</td>\n",
       "      <td>0.675057</td>\n",
       "      <td>0.593881</td>\n",
       "      <td>0.639762</td>\n",
       "      <td>0.657848</td>\n",
       "      <td>0.667496</td>\n",
       "      <td>0.702527</td>\n",
       "      <td>0.686639</td>\n",
       "      <td>0.684981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.  Other</th>\n",
       "      <td>0.003983</td>\n",
       "      <td>0.003036</td>\n",
       "      <td>0.002916</td>\n",
       "      <td>0.003058</td>\n",
       "      <td>0.002946</td>\n",
       "      <td>0.002867</td>\n",
       "      <td>0.002785</td>\n",
       "      <td>0.002577</td>\n",
       "      <td>0.002396</td>\n",
       "      <td>0.0023</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002021</td>\n",
       "      <td>0.001858</td>\n",
       "      <td>0.001681</td>\n",
       "      <td>0.001495</td>\n",
       "      <td>0.001239</td>\n",
       "      <td>0.001143</td>\n",
       "      <td>0.001159</td>\n",
       "      <td>0.001171</td>\n",
       "      <td>0.00123</td>\n",
       "      <td>0.001046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B. Fugitive emissions from fuels</th>\n",
       "      <td>38.269249</td>\n",
       "      <td>38.707585</td>\n",
       "      <td>38.380648</td>\n",
       "      <td>36.144091</td>\n",
       "      <td>28.073411</td>\n",
       "      <td>29.475267</td>\n",
       "      <td>27.710308</td>\n",
       "      <td>25.527413</td>\n",
       "      <td>23.10658</td>\n",
       "      <td>20.09383</td>\n",
       "      <td>...</td>\n",
       "      <td>9.622164</td>\n",
       "      <td>9.548141</td>\n",
       "      <td>8.216911</td>\n",
       "      <td>7.779725</td>\n",
       "      <td>7.241359</td>\n",
       "      <td>6.142969</td>\n",
       "      <td>6.030768</td>\n",
       "      <td>5.966326</td>\n",
       "      <td>5.736265</td>\n",
       "      <td>5.245475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.  Solid fuels</th>\n",
       "      <td>24.44608</td>\n",
       "      <td>25.139311</td>\n",
       "      <td>24.930209</td>\n",
       "      <td>23.214902</td>\n",
       "      <td>15.426876</td>\n",
       "      <td>16.870455</td>\n",
       "      <td>15.613115</td>\n",
       "      <td>14.966419</td>\n",
       "      <td>12.749394</td>\n",
       "      <td>10.55929</td>\n",
       "      <td>...</td>\n",
       "      <td>2.743344</td>\n",
       "      <td>2.762839</td>\n",
       "      <td>1.90907</td>\n",
       "      <td>1.88381</td>\n",
       "      <td>1.550668</td>\n",
       "      <td>0.567364</td>\n",
       "      <td>0.546302</td>\n",
       "      <td>0.527101</td>\n",
       "      <td>0.547649</td>\n",
       "      <td>0.531666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.  Oil and natural gas and other emissions from energy production</th>\n",
       "      <td>13.823169</td>\n",
       "      <td>13.568274</td>\n",
       "      <td>13.450438</td>\n",
       "      <td>12.929189</td>\n",
       "      <td>12.646534</td>\n",
       "      <td>12.604812</td>\n",
       "      <td>12.097193</td>\n",
       "      <td>10.560994</td>\n",
       "      <td>10.357185</td>\n",
       "      <td>9.534539</td>\n",
       "      <td>...</td>\n",
       "      <td>6.87882</td>\n",
       "      <td>6.785302</td>\n",
       "      <td>6.307842</td>\n",
       "      <td>5.895915</td>\n",
       "      <td>5.690691</td>\n",
       "      <td>5.575605</td>\n",
       "      <td>5.484466</td>\n",
       "      <td>5.439225</td>\n",
       "      <td>5.188615</td>\n",
       "      <td>4.71381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.  Industrial processes</th>\n",
       "      <td>0.326988</td>\n",
       "      <td>0.318125</td>\n",
       "      <td>0.332748</td>\n",
       "      <td>0.317074</td>\n",
       "      <td>0.327334</td>\n",
       "      <td>0.270978</td>\n",
       "      <td>0.301147</td>\n",
       "      <td>0.264317</td>\n",
       "      <td>0.208477</td>\n",
       "      <td>0.182858</td>\n",
       "      <td>...</td>\n",
       "      <td>0.127126</td>\n",
       "      <td>0.137718</td>\n",
       "      <td>0.145987</td>\n",
       "      <td>0.142177</td>\n",
       "      <td>0.094065</td>\n",
       "      <td>0.10361</td>\n",
       "      <td>0.091345</td>\n",
       "      <td>0.069826</td>\n",
       "      <td>0.094984</td>\n",
       "      <td>0.090448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B.  Chemical industry</th>\n",
       "      <td>0.248228</td>\n",
       "      <td>0.248492</td>\n",
       "      <td>0.264351</td>\n",
       "      <td>0.252558</td>\n",
       "      <td>0.258673</td>\n",
       "      <td>0.201572</td>\n",
       "      <td>0.234184</td>\n",
       "      <td>0.197546</td>\n",
       "      <td>0.144419</td>\n",
       "      <td>0.123044</td>\n",
       "      <td>...</td>\n",
       "      <td>0.102905</td>\n",
       "      <td>0.1137</td>\n",
       "      <td>0.11881</td>\n",
       "      <td>0.111318</td>\n",
       "      <td>0.067218</td>\n",
       "      <td>0.083331</td>\n",
       "      <td>0.071727</td>\n",
       "      <td>0.050527</td>\n",
       "      <td>0.076607</td>\n",
       "      <td>0.07527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C.  Metal industry</th>\n",
       "      <td>0.043922</td>\n",
       "      <td>0.041378</td>\n",
       "      <td>0.043107</td>\n",
       "      <td>0.043237</td>\n",
       "      <td>0.044693</td>\n",
       "      <td>0.045538</td>\n",
       "      <td>0.045379</td>\n",
       "      <td>0.046267</td>\n",
       "      <td>0.044266</td>\n",
       "      <td>0.043458</td>\n",
       "      <td>...</td>\n",
       "      <td>0.017259</td>\n",
       "      <td>0.019517</td>\n",
       "      <td>0.022117</td>\n",
       "      <td>0.025182</td>\n",
       "      <td>0.021142</td>\n",
       "      <td>0.013569</td>\n",
       "      <td>0.013019</td>\n",
       "      <td>0.013286</td>\n",
       "      <td>0.012392</td>\n",
       "      <td>0.012242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H.  Other</th>\n",
       "      <td>0.034838</td>\n",
       "      <td>0.028254</td>\n",
       "      <td>0.02529</td>\n",
       "      <td>0.021279</td>\n",
       "      <td>0.023968</td>\n",
       "      <td>0.023868</td>\n",
       "      <td>0.021584</td>\n",
       "      <td>0.020505</td>\n",
       "      <td>0.019792</td>\n",
       "      <td>0.016356</td>\n",
       "      <td>...</td>\n",
       "      <td>0.006962</td>\n",
       "      <td>0.004501</td>\n",
       "      <td>0.00506</td>\n",
       "      <td>0.005677</td>\n",
       "      <td>0.005705</td>\n",
       "      <td>0.006711</td>\n",
       "      <td>0.006599</td>\n",
       "      <td>0.006013</td>\n",
       "      <td>0.005985</td>\n",
       "      <td>0.002936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.  Agriculture</th>\n",
       "      <td>32.815619</td>\n",
       "      <td>32.395744</td>\n",
       "      <td>32.575898</td>\n",
       "      <td>32.502389</td>\n",
       "      <td>32.651166</td>\n",
       "      <td>32.41494</td>\n",
       "      <td>33.011532</td>\n",
       "      <td>32.780325</td>\n",
       "      <td>32.883054</td>\n",
       "      <td>32.718729</td>\n",
       "      <td>...</td>\n",
       "      <td>28.17308</td>\n",
       "      <td>28.078138</td>\n",
       "      <td>27.941548</td>\n",
       "      <td>28.679948</td>\n",
       "      <td>28.796205</td>\n",
       "      <td>28.696695</td>\n",
       "      <td>28.808409</td>\n",
       "      <td>28.260925</td>\n",
       "      <td>28.313484</td>\n",
       "      <td>27.935965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A.  Enteric fermentation</th>\n",
       "      <td>27.644974</td>\n",
       "      <td>27.291376</td>\n",
       "      <td>27.496461</td>\n",
       "      <td>27.522265</td>\n",
       "      <td>27.598548</td>\n",
       "      <td>27.417137</td>\n",
       "      <td>27.90096</td>\n",
       "      <td>27.660452</td>\n",
       "      <td>27.761247</td>\n",
       "      <td>27.680553</td>\n",
       "      <td>...</td>\n",
       "      <td>23.699801</td>\n",
       "      <td>23.637158</td>\n",
       "      <td>23.461588</td>\n",
       "      <td>24.08402</td>\n",
       "      <td>24.204501</td>\n",
       "      <td>24.145281</td>\n",
       "      <td>24.245086</td>\n",
       "      <td>23.762648</td>\n",
       "      <td>23.789415</td>\n",
       "      <td>23.450111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B.  Manure management</th>\n",
       "      <td>4.657829</td>\n",
       "      <td>4.614482</td>\n",
       "      <td>4.637153</td>\n",
       "      <td>4.679127</td>\n",
       "      <td>4.750743</td>\n",
       "      <td>4.694186</td>\n",
       "      <td>4.820242</td>\n",
       "      <td>4.821243</td>\n",
       "      <td>4.814498</td>\n",
       "      <td>4.731488</td>\n",
       "      <td>...</td>\n",
       "      <td>4.237309</td>\n",
       "      <td>4.213731</td>\n",
       "      <td>4.247958</td>\n",
       "      <td>4.35949</td>\n",
       "      <td>4.362868</td>\n",
       "      <td>4.319097</td>\n",
       "      <td>4.331139</td>\n",
       "      <td>4.275571</td>\n",
       "      <td>4.30078</td>\n",
       "      <td>4.26945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>J.  Other</th>\n",
       "      <td>0.303857</td>\n",
       "      <td>0.306105</td>\n",
       "      <td>0.307849</td>\n",
       "      <td>0.296506</td>\n",
       "      <td>0.301875</td>\n",
       "      <td>0.303617</td>\n",
       "      <td>0.29033</td>\n",
       "      <td>0.298629</td>\n",
       "      <td>0.307309</td>\n",
       "      <td>0.306687</td>\n",
       "      <td>...</td>\n",
       "      <td>0.235971</td>\n",
       "      <td>0.227248</td>\n",
       "      <td>0.232002</td>\n",
       "      <td>0.236438</td>\n",
       "      <td>0.228835</td>\n",
       "      <td>0.232318</td>\n",
       "      <td>0.232184</td>\n",
       "      <td>0.222706</td>\n",
       "      <td>0.223289</td>\n",
       "      <td>0.216404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4. Land use, land-use change and forestry</th>\n",
       "      <td>5.312559</td>\n",
       "      <td>5.308176</td>\n",
       "      <td>5.296953</td>\n",
       "      <td>5.293674</td>\n",
       "      <td>5.286468</td>\n",
       "      <td>5.29804</td>\n",
       "      <td>5.283805</td>\n",
       "      <td>5.283651</td>\n",
       "      <td>5.273001</td>\n",
       "      <td>5.263671</td>\n",
       "      <td>...</td>\n",
       "      <td>5.374436</td>\n",
       "      <td>5.362147</td>\n",
       "      <td>5.37615</td>\n",
       "      <td>5.356348</td>\n",
       "      <td>5.389107</td>\n",
       "      <td>5.39458</td>\n",
       "      <td>5.39315</td>\n",
       "      <td>5.448089</td>\n",
       "      <td>5.491092</td>\n",
       "      <td>5.462425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A.  Forest land</th>\n",
       "      <td>0.098043</td>\n",
       "      <td>0.102038</td>\n",
       "      <td>0.09809</td>\n",
       "      <td>0.100344</td>\n",
       "      <td>0.100928</td>\n",
       "      <td>0.119199</td>\n",
       "      <td>0.110834</td>\n",
       "      <td>0.115211</td>\n",
       "      <td>0.10997</td>\n",
       "      <td>0.104163</td>\n",
       "      <td>...</td>\n",
       "      <td>0.118305</td>\n",
       "      <td>0.120369</td>\n",
       "      <td>0.128185</td>\n",
       "      <td>0.103502</td>\n",
       "      <td>0.103266</td>\n",
       "      <td>0.1058</td>\n",
       "      <td>0.105005</td>\n",
       "      <td>0.126896</td>\n",
       "      <td>0.135317</td>\n",
       "      <td>0.115504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B.  Cropland</th>\n",
       "      <td>0.326975</td>\n",
       "      <td>0.326696</td>\n",
       "      <td>0.326582</td>\n",
       "      <td>0.326177</td>\n",
       "      <td>0.325709</td>\n",
       "      <td>0.325097</td>\n",
       "      <td>0.324578</td>\n",
       "      <td>0.32428</td>\n",
       "      <td>0.323871</td>\n",
       "      <td>0.32343</td>\n",
       "      <td>...</td>\n",
       "      <td>0.316716</td>\n",
       "      <td>0.3163</td>\n",
       "      <td>0.315866</td>\n",
       "      <td>0.315448</td>\n",
       "      <td>0.315025</td>\n",
       "      <td>0.314564</td>\n",
       "      <td>0.314127</td>\n",
       "      <td>0.31391</td>\n",
       "      <td>0.313299</td>\n",
       "      <td>0.312853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C.  Grassland</th>\n",
       "      <td>2.672174</td>\n",
       "      <td>2.662766</td>\n",
       "      <td>2.654212</td>\n",
       "      <td>2.647637</td>\n",
       "      <td>2.638687</td>\n",
       "      <td>2.631435</td>\n",
       "      <td>2.624091</td>\n",
       "      <td>2.617766</td>\n",
       "      <td>2.611149</td>\n",
       "      <td>2.605254</td>\n",
       "      <td>...</td>\n",
       "      <td>2.671164</td>\n",
       "      <td>2.656804</td>\n",
       "      <td>2.664841</td>\n",
       "      <td>2.672055</td>\n",
       "      <td>2.672064</td>\n",
       "      <td>2.682185</td>\n",
       "      <td>2.685802</td>\n",
       "      <td>2.693036</td>\n",
       "      <td>2.70521</td>\n",
       "      <td>2.711404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D.  Wetlands</th>\n",
       "      <td>2.197103</td>\n",
       "      <td>2.198649</td>\n",
       "      <td>2.200197</td>\n",
       "      <td>2.201745</td>\n",
       "      <td>2.203292</td>\n",
       "      <td>2.20484</td>\n",
       "      <td>2.206388</td>\n",
       "      <td>2.207935</td>\n",
       "      <td>2.209483</td>\n",
       "      <td>2.211031</td>\n",
       "      <td>...</td>\n",
       "      <td>2.245735</td>\n",
       "      <td>2.246527</td>\n",
       "      <td>2.245154</td>\n",
       "      <td>2.244692</td>\n",
       "      <td>2.275673</td>\n",
       "      <td>2.25805</td>\n",
       "      <td>2.258255</td>\n",
       "      <td>2.281216</td>\n",
       "      <td>2.30384</td>\n",
       "      <td>2.288851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>E.  Settlements</th>\n",
       "      <td>0.0041</td>\n",
       "      <td>0.003916</td>\n",
       "      <td>0.003724</td>\n",
       "      <td>0.003699</td>\n",
       "      <td>0.00384</td>\n",
       "      <td>0.003547</td>\n",
       "      <td>0.004001</td>\n",
       "      <td>0.004556</td>\n",
       "      <td>0.004625</td>\n",
       "      <td>0.005903</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007965</td>\n",
       "      <td>0.007492</td>\n",
       "      <td>0.007316</td>\n",
       "      <td>0.005772</td>\n",
       "      <td>0.008104</td>\n",
       "      <td>0.018764</td>\n",
       "      <td>0.014517</td>\n",
       "      <td>0.017351</td>\n",
       "      <td>0.017512</td>\n",
       "      <td>0.017664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H.  Other</th>\n",
       "      <td>0.014164</td>\n",
       "      <td>0.01411</td>\n",
       "      <td>0.014149</td>\n",
       "      <td>0.014073</td>\n",
       "      <td>0.014011</td>\n",
       "      <td>0.013921</td>\n",
       "      <td>0.013914</td>\n",
       "      <td>0.013903</td>\n",
       "      <td>0.013903</td>\n",
       "      <td>0.01389</td>\n",
       "      <td>...</td>\n",
       "      <td>0.014551</td>\n",
       "      <td>0.014655</td>\n",
       "      <td>0.014787</td>\n",
       "      <td>0.014879</td>\n",
       "      <td>0.014975</td>\n",
       "      <td>0.015217</td>\n",
       "      <td>0.015444</td>\n",
       "      <td>0.01568</td>\n",
       "      <td>0.015914</td>\n",
       "      <td>0.016148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.  Waste</th>\n",
       "      <td>70.367513</td>\n",
       "      <td>71.070702</td>\n",
       "      <td>71.27058</td>\n",
       "      <td>71.893253</td>\n",
       "      <td>72.463701</td>\n",
       "      <td>73.620469</td>\n",
       "      <td>73.880982</td>\n",
       "      <td>73.832408</td>\n",
       "      <td>72.619611</td>\n",
       "      <td>69.576691</td>\n",
       "      <td>...</td>\n",
       "      <td>27.823099</td>\n",
       "      <td>26.175252</td>\n",
       "      <td>22.933862</td>\n",
       "      <td>20.467481</td>\n",
       "      <td>19.750387</td>\n",
       "      <td>18.924143</td>\n",
       "      <td>19.349741</td>\n",
       "      <td>19.344869</td>\n",
       "      <td>19.172907</td>\n",
       "      <td>17.74919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A.  Solid waste disposal</th>\n",
       "      <td>67.636281</td>\n",
       "      <td>68.313793</td>\n",
       "      <td>68.406119</td>\n",
       "      <td>69.003349</td>\n",
       "      <td>69.604066</td>\n",
       "      <td>70.857013</td>\n",
       "      <td>71.080037</td>\n",
       "      <td>70.864764</td>\n",
       "      <td>69.745279</td>\n",
       "      <td>66.654101</td>\n",
       "      <td>...</td>\n",
       "      <td>24.916603</td>\n",
       "      <td>23.277612</td>\n",
       "      <td>19.949667</td>\n",
       "      <td>17.244416</td>\n",
       "      <td>16.589711</td>\n",
       "      <td>15.775078</td>\n",
       "      <td>15.977046</td>\n",
       "      <td>16.069194</td>\n",
       "      <td>15.850301</td>\n",
       "      <td>14.461597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B.  Biological treatment of solid waste</th>\n",
       "      <td>0.020308</td>\n",
       "      <td>0.046046</td>\n",
       "      <td>0.071742</td>\n",
       "      <td>0.097449</td>\n",
       "      <td>0.12325</td>\n",
       "      <td>0.148951</td>\n",
       "      <td>0.174657</td>\n",
       "      <td>0.20038</td>\n",
       "      <td>0.226113</td>\n",
       "      <td>0.251834</td>\n",
       "      <td>...</td>\n",
       "      <td>0.855727</td>\n",
       "      <td>0.914933</td>\n",
       "      <td>0.996352</td>\n",
       "      <td>1.14128</td>\n",
       "      <td>1.179771</td>\n",
       "      <td>1.28533</td>\n",
       "      <td>1.359352</td>\n",
       "      <td>1.347094</td>\n",
       "      <td>1.357593</td>\n",
       "      <td>1.362805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C.  Incineration and open burning of waste</th>\n",
       "      <td>0.152676</td>\n",
       "      <td>0.149466</td>\n",
       "      <td>0.143109</td>\n",
       "      <td>0.127542</td>\n",
       "      <td>0.098183</td>\n",
       "      <td>0.096872</td>\n",
       "      <td>0.098278</td>\n",
       "      <td>0.030337</td>\n",
       "      <td>0.02953</td>\n",
       "      <td>0.031892</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013412</td>\n",
       "      <td>0.011748</td>\n",
       "      <td>0.011415</td>\n",
       "      <td>0.010445</td>\n",
       "      <td>0.010493</td>\n",
       "      <td>0.010363</td>\n",
       "      <td>0.010073</td>\n",
       "      <td>0.009634</td>\n",
       "      <td>0.009001</td>\n",
       "      <td>0.008276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D.  Waste water treatment and discharge</th>\n",
       "      <td>2.558248</td>\n",
       "      <td>2.561397</td>\n",
       "      <td>2.64961</td>\n",
       "      <td>2.664913</td>\n",
       "      <td>2.638202</td>\n",
       "      <td>2.517632</td>\n",
       "      <td>2.52801</td>\n",
       "      <td>2.736927</td>\n",
       "      <td>2.61869</td>\n",
       "      <td>2.638864</td>\n",
       "      <td>...</td>\n",
       "      <td>2.037357</td>\n",
       "      <td>1.970959</td>\n",
       "      <td>1.976427</td>\n",
       "      <td>2.071339</td>\n",
       "      <td>1.970412</td>\n",
       "      <td>1.853372</td>\n",
       "      <td>2.003271</td>\n",
       "      <td>1.918948</td>\n",
       "      <td>1.956012</td>\n",
       "      <td>1.916512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total CH4 emissions without CH4 from LULUCF</th>\n",
       "      <td>145.403673</td>\n",
       "      <td>146.257307</td>\n",
       "      <td>146.123758</td>\n",
       "      <td>144.500538</td>\n",
       "      <td>136.820027</td>\n",
       "      <td>138.645541</td>\n",
       "      <td>137.787666</td>\n",
       "      <td>135.071976</td>\n",
       "      <td>131.267772</td>\n",
       "      <td>125.086676</td>\n",
       "      <td>...</td>\n",
       "      <td>66.963796</td>\n",
       "      <td>65.153457</td>\n",
       "      <td>60.481134</td>\n",
       "      <td>58.276291</td>\n",
       "      <td>57.146317</td>\n",
       "      <td>55.168459</td>\n",
       "      <td>55.615109</td>\n",
       "      <td>55.027337</td>\n",
       "      <td>54.693313</td>\n",
       "      <td>52.371192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total CH4 emissions with CH4 from LULUCF</th>\n",
       "      <td>150.716232</td>\n",
       "      <td>151.565483</td>\n",
       "      <td>151.420712</td>\n",
       "      <td>149.794212</td>\n",
       "      <td>142.106495</td>\n",
       "      <td>143.943581</td>\n",
       "      <td>143.071471</td>\n",
       "      <td>140.355627</td>\n",
       "      <td>136.540773</td>\n",
       "      <td>130.350347</td>\n",
       "      <td>...</td>\n",
       "      <td>72.338232</td>\n",
       "      <td>70.515604</td>\n",
       "      <td>65.857284</td>\n",
       "      <td>63.632639</td>\n",
       "      <td>62.535424</td>\n",
       "      <td>60.563039</td>\n",
       "      <td>61.008259</td>\n",
       "      <td>60.475427</td>\n",
       "      <td>60.184405</td>\n",
       "      <td>57.833617</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>32 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                          1990        1991  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                    \n",
       "1. Energy                                            41.893554   42.472735   \n",
       "A. Fuel combustion (sectoral approach)                3.624305     3.76515   \n",
       "1.  Energy industries                                 0.261169    0.260316   \n",
       "2.  Manufacturing industries and construction         0.128494    0.131914   \n",
       "3.  Transport                                         1.419076    1.402901   \n",
       "4.  Other sectors                                     1.811582    1.966984   \n",
       "5.  Other                                             0.003983    0.003036   \n",
       "B. Fugitive emissions from fuels                     38.269249   38.707585   \n",
       "1.  Solid fuels                                       24.44608   25.139311   \n",
       "2.  Oil and natural gas and other emissions fro...   13.823169   13.568274   \n",
       "2.  Industrial processes                              0.326988    0.318125   \n",
       "B.  Chemical industry                                 0.248228    0.248492   \n",
       "C.  Metal industry                                    0.043922    0.041378   \n",
       "H.  Other                                             0.034838    0.028254   \n",
       "3.  Agriculture                                      32.815619   32.395744   \n",
       "A.  Enteric fermentation                             27.644974   27.291376   \n",
       "B.  Manure management                                 4.657829    4.614482   \n",
       "J.  Other                                             0.303857    0.306105   \n",
       "4. Land use, land-use change and forestry             5.312559    5.308176   \n",
       "A.  Forest land                                       0.098043    0.102038   \n",
       "B.  Cropland                                          0.326975    0.326696   \n",
       "C.  Grassland                                         2.672174    2.662766   \n",
       "D.  Wetlands                                          2.197103    2.198649   \n",
       "E.  Settlements                                         0.0041    0.003916   \n",
       "H.  Other                                             0.014164     0.01411   \n",
       "5.  Waste                                            70.367513   71.070702   \n",
       "A.  Solid waste disposal                             67.636281   68.313793   \n",
       "B.  Biological treatment of solid waste               0.020308    0.046046   \n",
       "C.  Incineration and open burning of waste            0.152676    0.149466   \n",
       "D.  Waste water treatment and discharge               2.558248    2.561397   \n",
       "Total CH4 emissions without CH4 from LULUCF         145.403673  146.257307   \n",
       "Total CH4 emissions with CH4 from LULUCF            150.716232  151.565483   \n",
       "\n",
       "                                                          1992        1993  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                    \n",
       "1. Energy                                            41.944533   39.787822   \n",
       "A. Fuel combustion (sectoral approach)                3.563885    3.643731   \n",
       "1.  Energy industries                                 0.266051    0.277824   \n",
       "2.  Manufacturing industries and construction         0.132401    0.122577   \n",
       "3.  Transport                                         1.385766    1.324735   \n",
       "4.  Other sectors                                     1.776751    1.915538   \n",
       "5.  Other                                             0.002916    0.003058   \n",
       "B. Fugitive emissions from fuels                     38.380648   36.144091   \n",
       "1.  Solid fuels                                      24.930209   23.214902   \n",
       "2.  Oil and natural gas and other emissions fro...   13.450438   12.929189   \n",
       "2.  Industrial processes                              0.332748    0.317074   \n",
       "B.  Chemical industry                                 0.264351    0.252558   \n",
       "C.  Metal industry                                    0.043107    0.043237   \n",
       "H.  Other                                              0.02529    0.021279   \n",
       "3.  Agriculture                                      32.575898   32.502389   \n",
       "A.  Enteric fermentation                             27.496461   27.522265   \n",
       "B.  Manure management                                 4.637153    4.679127   \n",
       "J.  Other                                             0.307849    0.296506   \n",
       "4. Land use, land-use change and forestry             5.296953    5.293674   \n",
       "A.  Forest land                                        0.09809    0.100344   \n",
       "B.  Cropland                                          0.326582    0.326177   \n",
       "C.  Grassland                                         2.654212    2.647637   \n",
       "D.  Wetlands                                          2.200197    2.201745   \n",
       "E.  Settlements                                       0.003724    0.003699   \n",
       "H.  Other                                             0.014149    0.014073   \n",
       "5.  Waste                                             71.27058   71.893253   \n",
       "A.  Solid waste disposal                             68.406119   69.003349   \n",
       "B.  Biological treatment of solid waste               0.071742    0.097449   \n",
       "C.  Incineration and open burning of waste            0.143109    0.127542   \n",
       "D.  Waste water treatment and discharge                2.64961    2.664913   \n",
       "Total CH4 emissions without CH4 from LULUCF         146.123758  144.500538   \n",
       "Total CH4 emissions with CH4 from LULUCF            151.420712  149.794212   \n",
       "\n",
       "                                                          1994        1995  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                    \n",
       "1. Energy                                            31.377826   32.339153   \n",
       "A. Fuel combustion (sectoral approach)                3.304415    2.863886   \n",
       "1.  Energy industries                                 0.281686    0.293679   \n",
       "2.  Manufacturing industries and construction         0.130581    0.127163   \n",
       "3.  Transport                                          1.22381    1.122796   \n",
       "4.  Other sectors                                     1.665393    1.317381   \n",
       "5.  Other                                             0.002946    0.002867   \n",
       "B. Fugitive emissions from fuels                     28.073411   29.475267   \n",
       "1.  Solid fuels                                      15.426876   16.870455   \n",
       "2.  Oil and natural gas and other emissions fro...   12.646534   12.604812   \n",
       "2.  Industrial processes                              0.327334    0.270978   \n",
       "B.  Chemical industry                                 0.258673    0.201572   \n",
       "C.  Metal industry                                    0.044693    0.045538   \n",
       "H.  Other                                             0.023968    0.023868   \n",
       "3.  Agriculture                                      32.651166    32.41494   \n",
       "A.  Enteric fermentation                             27.598548   27.417137   \n",
       "B.  Manure management                                 4.750743    4.694186   \n",
       "J.  Other                                             0.301875    0.303617   \n",
       "4. Land use, land-use change and forestry             5.286468     5.29804   \n",
       "A.  Forest land                                       0.100928    0.119199   \n",
       "B.  Cropland                                          0.325709    0.325097   \n",
       "C.  Grassland                                         2.638687    2.631435   \n",
       "D.  Wetlands                                          2.203292     2.20484   \n",
       "E.  Settlements                                        0.00384    0.003547   \n",
       "H.  Other                                             0.014011    0.013921   \n",
       "5.  Waste                                            72.463701   73.620469   \n",
       "A.  Solid waste disposal                             69.604066   70.857013   \n",
       "B.  Biological treatment of solid waste                0.12325    0.148951   \n",
       "C.  Incineration and open burning of waste            0.098183    0.096872   \n",
       "D.  Waste water treatment and discharge               2.638202    2.517632   \n",
       "Total CH4 emissions without CH4 from LULUCF         136.820027  138.645541   \n",
       "Total CH4 emissions with CH4 from LULUCF            142.106495  143.943581   \n",
       "\n",
       "                                                          1996        1997  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                    \n",
       "1. Energy                                            30.594004   28.194927   \n",
       "A. Fuel combustion (sectoral approach)                2.883697    2.667514   \n",
       "1.  Energy industries                                  0.30172    0.310536   \n",
       "2.  Manufacturing industries and construction         0.117903    0.108579   \n",
       "3.  Transport                                          1.08195    1.005022   \n",
       "4.  Other sectors                                     1.379339    1.240799   \n",
       "5.  Other                                             0.002785    0.002577   \n",
       "B. Fugitive emissions from fuels                     27.710308   25.527413   \n",
       "1.  Solid fuels                                      15.613115   14.966419   \n",
       "2.  Oil and natural gas and other emissions fro...   12.097193   10.560994   \n",
       "2.  Industrial processes                              0.301147    0.264317   \n",
       "B.  Chemical industry                                 0.234184    0.197546   \n",
       "C.  Metal industry                                    0.045379    0.046267   \n",
       "H.  Other                                             0.021584    0.020505   \n",
       "3.  Agriculture                                      33.011532   32.780325   \n",
       "A.  Enteric fermentation                              27.90096   27.660452   \n",
       "B.  Manure management                                 4.820242    4.821243   \n",
       "J.  Other                                              0.29033    0.298629   \n",
       "4. Land use, land-use change and forestry             5.283805    5.283651   \n",
       "A.  Forest land                                       0.110834    0.115211   \n",
       "B.  Cropland                                          0.324578     0.32428   \n",
       "C.  Grassland                                         2.624091    2.617766   \n",
       "D.  Wetlands                                          2.206388    2.207935   \n",
       "E.  Settlements                                       0.004001    0.004556   \n",
       "H.  Other                                             0.013914    0.013903   \n",
       "5.  Waste                                            73.880982   73.832408   \n",
       "A.  Solid waste disposal                             71.080037   70.864764   \n",
       "B.  Biological treatment of solid waste               0.174657     0.20038   \n",
       "C.  Incineration and open burning of waste            0.098278    0.030337   \n",
       "D.  Waste water treatment and discharge                2.52801    2.736927   \n",
       "Total CH4 emissions without CH4 from LULUCF         137.787666  135.071976   \n",
       "Total CH4 emissions with CH4 from LULUCF            143.071471  140.355627   \n",
       "\n",
       "                                                          1998        1999  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                    \n",
       "1. Energy                                             25.55663   22.608398   \n",
       "A. Fuel combustion (sectoral approach)                 2.45005    2.514568   \n",
       "1.  Energy industries                                 0.222834    0.341388   \n",
       "2.  Manufacturing industries and construction         0.107059    0.105491   \n",
       "3.  Transport                                         0.916582    0.849648   \n",
       "4.  Other sectors                                     1.201178    1.215741   \n",
       "5.  Other                                             0.002396      0.0023   \n",
       "B. Fugitive emissions from fuels                      23.10658    20.09383   \n",
       "1.  Solid fuels                                      12.749394    10.55929   \n",
       "2.  Oil and natural gas and other emissions fro...   10.357185    9.534539   \n",
       "2.  Industrial processes                              0.208477    0.182858   \n",
       "B.  Chemical industry                                 0.144419    0.123044   \n",
       "C.  Metal industry                                    0.044266    0.043458   \n",
       "H.  Other                                             0.019792    0.016356   \n",
       "3.  Agriculture                                      32.883054   32.718729   \n",
       "A.  Enteric fermentation                             27.761247   27.680553   \n",
       "B.  Manure management                                 4.814498    4.731488   \n",
       "J.  Other                                             0.307309    0.306687   \n",
       "4. Land use, land-use change and forestry             5.273001    5.263671   \n",
       "A.  Forest land                                        0.10997    0.104163   \n",
       "B.  Cropland                                          0.323871     0.32343   \n",
       "C.  Grassland                                         2.611149    2.605254   \n",
       "D.  Wetlands                                          2.209483    2.211031   \n",
       "E.  Settlements                                       0.004625    0.005903   \n",
       "H.  Other                                             0.013903     0.01389   \n",
       "5.  Waste                                            72.619611   69.576691   \n",
       "A.  Solid waste disposal                             69.745279   66.654101   \n",
       "B.  Biological treatment of solid waste               0.226113    0.251834   \n",
       "C.  Incineration and open burning of waste             0.02953    0.031892   \n",
       "D.  Waste water treatment and discharge                2.61869    2.638864   \n",
       "Total CH4 emissions without CH4 from LULUCF         131.267772  125.086676   \n",
       "Total CH4 emissions with CH4 from LULUCF            136.540773  130.350347   \n",
       "\n",
       "                                                    ...       2011       2012  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES           ...                         \n",
       "1. Energy                                           ...  10.840491  10.762349   \n",
       "A. Fuel combustion (sectoral approach)              ...   1.218327   1.214207   \n",
       "1.  Energy industries                               ...   0.327719   0.315065   \n",
       "2.  Manufacturing industries and construction       ...   0.100137   0.094907   \n",
       "3.  Transport                                       ...   0.189919   0.169727   \n",
       "4.  Other sectors                                   ...   0.598531    0.63265   \n",
       "5.  Other                                           ...   0.002021   0.001858   \n",
       "B. Fugitive emissions from fuels                    ...   9.622164   9.548141   \n",
       "1.  Solid fuels                                     ...   2.743344   2.762839   \n",
       "2.  Oil and natural gas and other emissions fro...  ...    6.87882   6.785302   \n",
       "2.  Industrial processes                            ...   0.127126   0.137718   \n",
       "B.  Chemical industry                               ...   0.102905     0.1137   \n",
       "C.  Metal industry                                  ...   0.017259   0.019517   \n",
       "H.  Other                                           ...   0.006962   0.004501   \n",
       "3.  Agriculture                                     ...   28.17308  28.078138   \n",
       "A.  Enteric fermentation                            ...  23.699801  23.637158   \n",
       "B.  Manure management                               ...   4.237309   4.213731   \n",
       "J.  Other                                           ...   0.235971   0.227248   \n",
       "4. Land use, land-use change and forestry           ...   5.374436   5.362147   \n",
       "A.  Forest land                                     ...   0.118305   0.120369   \n",
       "B.  Cropland                                        ...   0.316716     0.3163   \n",
       "C.  Grassland                                       ...   2.671164   2.656804   \n",
       "D.  Wetlands                                        ...   2.245735   2.246527   \n",
       "E.  Settlements                                     ...   0.007965   0.007492   \n",
       "H.  Other                                           ...   0.014551   0.014655   \n",
       "5.  Waste                                           ...  27.823099  26.175252   \n",
       "A.  Solid waste disposal                            ...  24.916603  23.277612   \n",
       "B.  Biological treatment of solid waste             ...   0.855727   0.914933   \n",
       "C.  Incineration and open burning of waste          ...   0.013412   0.011748   \n",
       "D.  Waste water treatment and discharge             ...   2.037357   1.970959   \n",
       "Total CH4 emissions without CH4 from LULUCF         ...  66.963796  65.153457   \n",
       "Total CH4 emissions with CH4 from LULUCF            ...  72.338232  70.515604   \n",
       "\n",
       "                                                         2013       2014  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                  \n",
       "1. Energy                                            9.459737   8.986685   \n",
       "A. Fuel combustion (sectoral approach)               1.242826    1.20696   \n",
       "1.  Energy industries                                0.314769    0.35666   \n",
       "2.  Manufacturing industries and construction        0.099944   0.114052   \n",
       "3.  Transport                                        0.151375   0.140871   \n",
       "4.  Other sectors                                    0.675057   0.593881   \n",
       "5.  Other                                            0.001681   0.001495   \n",
       "B. Fugitive emissions from fuels                     8.216911   7.779725   \n",
       "1.  Solid fuels                                       1.90907    1.88381   \n",
       "2.  Oil and natural gas and other emissions fro...   6.307842   5.895915   \n",
       "2.  Industrial processes                             0.145987   0.142177   \n",
       "B.  Chemical industry                                 0.11881   0.111318   \n",
       "C.  Metal industry                                   0.022117   0.025182   \n",
       "H.  Other                                             0.00506   0.005677   \n",
       "3.  Agriculture                                     27.941548  28.679948   \n",
       "A.  Enteric fermentation                            23.461588   24.08402   \n",
       "B.  Manure management                                4.247958    4.35949   \n",
       "J.  Other                                            0.232002   0.236438   \n",
       "4. Land use, land-use change and forestry             5.37615   5.356348   \n",
       "A.  Forest land                                      0.128185   0.103502   \n",
       "B.  Cropland                                         0.315866   0.315448   \n",
       "C.  Grassland                                        2.664841   2.672055   \n",
       "D.  Wetlands                                         2.245154   2.244692   \n",
       "E.  Settlements                                      0.007316   0.005772   \n",
       "H.  Other                                            0.014787   0.014879   \n",
       "5.  Waste                                           22.933862  20.467481   \n",
       "A.  Solid waste disposal                            19.949667  17.244416   \n",
       "B.  Biological treatment of solid waste              0.996352    1.14128   \n",
       "C.  Incineration and open burning of waste           0.011415   0.010445   \n",
       "D.  Waste water treatment and discharge              1.976427   2.071339   \n",
       "Total CH4 emissions without CH4 from LULUCF         60.481134  58.276291   \n",
       "Total CH4 emissions with CH4 from LULUCF            65.857284  63.632639   \n",
       "\n",
       "                                                         2015       2016  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                  \n",
       "1. Energy                                             8.50566   7.444011   \n",
       "A. Fuel combustion (sectoral approach)               1.264301   1.301041   \n",
       "1.  Energy industries                                0.372519   0.396597   \n",
       "2.  Manufacturing industries and construction        0.119652    0.12238   \n",
       "3.  Transport                                         0.13113   0.123074   \n",
       "4.  Other sectors                                    0.639762   0.657848   \n",
       "5.  Other                                            0.001239   0.001143   \n",
       "B. Fugitive emissions from fuels                     7.241359   6.142969   \n",
       "1.  Solid fuels                                      1.550668   0.567364   \n",
       "2.  Oil and natural gas and other emissions fro...   5.690691   5.575605   \n",
       "2.  Industrial processes                             0.094065    0.10361   \n",
       "B.  Chemical industry                                0.067218   0.083331   \n",
       "C.  Metal industry                                   0.021142   0.013569   \n",
       "H.  Other                                            0.005705   0.006711   \n",
       "3.  Agriculture                                     28.796205  28.696695   \n",
       "A.  Enteric fermentation                            24.204501  24.145281   \n",
       "B.  Manure management                                4.362868   4.319097   \n",
       "J.  Other                                            0.228835   0.232318   \n",
       "4. Land use, land-use change and forestry            5.389107    5.39458   \n",
       "A.  Forest land                                      0.103266     0.1058   \n",
       "B.  Cropland                                         0.315025   0.314564   \n",
       "C.  Grassland                                        2.672064   2.682185   \n",
       "D.  Wetlands                                         2.275673    2.25805   \n",
       "E.  Settlements                                      0.008104   0.018764   \n",
       "H.  Other                                            0.014975   0.015217   \n",
       "5.  Waste                                           19.750387  18.924143   \n",
       "A.  Solid waste disposal                            16.589711  15.775078   \n",
       "B.  Biological treatment of solid waste              1.179771    1.28533   \n",
       "C.  Incineration and open burning of waste           0.010493   0.010363   \n",
       "D.  Waste water treatment and discharge              1.970412   1.853372   \n",
       "Total CH4 emissions without CH4 from LULUCF         57.146317  55.168459   \n",
       "Total CH4 emissions with CH4 from LULUCF            62.535424  60.563039   \n",
       "\n",
       "                                                         2017       2018  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                  \n",
       "1. Energy                                            7.365613   7.351718   \n",
       "A. Fuel combustion (sectoral approach)               1.334846   1.385392   \n",
       "1.  Energy industries                                0.414089   0.424772   \n",
       "2.  Manufacturing industries and construction        0.135329   0.145383   \n",
       "3.  Transport                                        0.116773    0.11154   \n",
       "4.  Other sectors                                    0.667496   0.702527   \n",
       "5.  Other                                            0.001159   0.001171   \n",
       "B. Fugitive emissions from fuels                     6.030768   5.966326   \n",
       "1.  Solid fuels                                      0.546302   0.527101   \n",
       "2.  Oil and natural gas and other emissions fro...   5.484466   5.439225   \n",
       "2.  Industrial processes                             0.091345   0.069826   \n",
       "B.  Chemical industry                                0.071727   0.050527   \n",
       "C.  Metal industry                                   0.013019   0.013286   \n",
       "H.  Other                                            0.006599   0.006013   \n",
       "3.  Agriculture                                     28.808409  28.260925   \n",
       "A.  Enteric fermentation                            24.245086  23.762648   \n",
       "B.  Manure management                                4.331139   4.275571   \n",
       "J.  Other                                            0.232184   0.222706   \n",
       "4. Land use, land-use change and forestry             5.39315   5.448089   \n",
       "A.  Forest land                                      0.105005   0.126896   \n",
       "B.  Cropland                                         0.314127    0.31391   \n",
       "C.  Grassland                                        2.685802   2.693036   \n",
       "D.  Wetlands                                         2.258255   2.281216   \n",
       "E.  Settlements                                      0.014517   0.017351   \n",
       "H.  Other                                            0.015444    0.01568   \n",
       "5.  Waste                                           19.349741  19.344869   \n",
       "A.  Solid waste disposal                            15.977046  16.069194   \n",
       "B.  Biological treatment of solid waste              1.359352   1.347094   \n",
       "C.  Incineration and open burning of waste           0.010073   0.009634   \n",
       "D.  Waste water treatment and discharge              2.003271   1.918948   \n",
       "Total CH4 emissions without CH4 from LULUCF         55.615109  55.027337   \n",
       "Total CH4 emissions with CH4 from LULUCF            61.008259  60.475427   \n",
       "\n",
       "                                                         2019       2020  \n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                 \n",
       "1. Energy                                            7.111938   6.595589  \n",
       "A. Fuel combustion (sectoral approach)               1.375673   1.350114  \n",
       "1.  Energy industries                                0.434235   0.427896  \n",
       "2.  Manufacturing industries and construction        0.144203   0.150268  \n",
       "3.  Transport                                        0.109367   0.085924  \n",
       "4.  Other sectors                                    0.686639   0.684981  \n",
       "5.  Other                                             0.00123   0.001046  \n",
       "B. Fugitive emissions from fuels                     5.736265   5.245475  \n",
       "1.  Solid fuels                                      0.547649   0.531666  \n",
       "2.  Oil and natural gas and other emissions fro...   5.188615    4.71381  \n",
       "2.  Industrial processes                             0.094984   0.090448  \n",
       "B.  Chemical industry                                0.076607    0.07527  \n",
       "C.  Metal industry                                   0.012392   0.012242  \n",
       "H.  Other                                            0.005985   0.002936  \n",
       "3.  Agriculture                                     28.313484  27.935965  \n",
       "A.  Enteric fermentation                            23.789415  23.450111  \n",
       "B.  Manure management                                 4.30078    4.26945  \n",
       "J.  Other                                            0.223289   0.216404  \n",
       "4. Land use, land-use change and forestry            5.491092   5.462425  \n",
       "A.  Forest land                                      0.135317   0.115504  \n",
       "B.  Cropland                                         0.313299   0.312853  \n",
       "C.  Grassland                                         2.70521   2.711404  \n",
       "D.  Wetlands                                          2.30384   2.288851  \n",
       "E.  Settlements                                      0.017512   0.017664  \n",
       "H.  Other                                            0.015914   0.016148  \n",
       "5.  Waste                                           19.172907   17.74919  \n",
       "A.  Solid waste disposal                            15.850301  14.461597  \n",
       "B.  Biological treatment of solid waste              1.357593   1.362805  \n",
       "C.  Incineration and open burning of waste           0.009001   0.008276  \n",
       "D.  Waste water treatment and discharge              1.956012   1.916512  \n",
       "Total CH4 emissions without CH4 from LULUCF         54.693313  52.371192  \n",
       "Total CH4 emissions with CH4 from LULUCF            60.184405  57.833617  \n",
       "\n",
       "[32 rows x 31 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfCH4_CO2_equ = dfCH4 / 1000 * 28\n",
    "dfCH4_CO2_equ"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46b6e70f-2fb0-4f86-b451-5c41ebb89d39",
   "metadata": {},
   "source": [
    "Read in InTEM data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f9767327-a575-4d3a-aed2-fa1d29d65149",
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_intem(species):\n",
    "\n",
    "    fname = path() / f\"data/intem/Table_UK_2021_{species}.txt\"\n",
    "\n",
    "    with open(fname, \"r\") as f:\n",
    "        headiter = takewhile(lambda s: s.startswith('#'), f)\n",
    "        header = list(headiter)\n",
    "\n",
    "    df = pd.read_csv(fname,\n",
    "                    sep=\",\",\n",
    "                    skipinitialspace=True,\n",
    "                    index_col=\"Year\",\n",
    "                    comment=\"#\")\n",
    "\n",
    "    df = df.apply(pd.to_numeric, errors='ignore')\n",
    "    df.index = pd.to_datetime(df.index, format='%Y')\n",
    "    df.rename(columns = {\"Invent2021\": \"Invent\"}, inplace=True)\n",
    "\n",
    "    for h in header:\n",
    "        if \"GAS\" in h:\n",
    "            species_str = h.split(\":\")[1].strip()\n",
    "        if \"UNITS\" in h:\n",
    "            species_units = h.split(\":\")[1].strip()\n",
    "        if \"GWP\" in h:\n",
    "            species_gwp = float(h.split(\":\")[1].strip())\n",
    "    \n",
    "    return df, species_str, species_units, species_gwp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8776731e-e011-41fd-9fb9-33e4190870b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ch4, _, _, _ = read_intem(\"ch4\")\n",
    "df_n2o, _, _, _ = read_intem(\"n2o\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c46c7a86-5bc1-45d5-93bf-062ce4d77bbc",
   "metadata": {},
   "source": [
    "Break down emissions by sectors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5fe66837-821c-4d86-b19b-9389157832f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "\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>Invent</th>\n",
       "      <th>Invent_std</th>\n",
       "      <th>InTEM</th>\n",
       "      <th>InTEM_std</th>\n",
       "      <th>InTEM_Energy</th>\n",
       "      <th>InTEM_Energy_std</th>\n",
       "      <th>InTEM_Industry</th>\n",
       "      <th>InTEM_Industry_std</th>\n",
       "      <th>InTEM_Agriculture</th>\n",
       "      <th>InTEM_Agriculture_std</th>\n",
       "      <th>InTEM_LULUCF</th>\n",
       "      <th>InTEM_LULUCF_std</th>\n",
       "      <th>InTEM_Waste</th>\n",
       "      <th>InTEM_Waste_std</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1990-01-01</th>\n",
       "      <td>150.08</td>\n",
       "      <td>17.92</td>\n",
       "      <td>62.16</td>\n",
       "      <td>10.36</td>\n",
       "      <td>11.414683</td>\n",
       "      <td>1.902447</td>\n",
       "      <td>0.111061</td>\n",
       "      <td>0.018510</td>\n",
       "      <td>18.288587</td>\n",
       "      <td>3.048098</td>\n",
       "      <td>3.231786</td>\n",
       "      <td>0.538631</td>\n",
       "      <td>29.113884</td>\n",
       "      <td>4.852314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1991-01-01</th>\n",
       "      <td>150.64</td>\n",
       "      <td>17.92</td>\n",
       "      <td>61.88</td>\n",
       "      <td>9.80</td>\n",
       "      <td>11.363265</td>\n",
       "      <td>1.799612</td>\n",
       "      <td>0.110561</td>\n",
       "      <td>0.017510</td>\n",
       "      <td>18.206206</td>\n",
       "      <td>2.883336</td>\n",
       "      <td>3.217229</td>\n",
       "      <td>0.509516</td>\n",
       "      <td>28.982740</td>\n",
       "      <td>4.590027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992-01-01</th>\n",
       "      <td>150.64</td>\n",
       "      <td>17.64</td>\n",
       "      <td>56.00</td>\n",
       "      <td>9.24</td>\n",
       "      <td>10.283498</td>\n",
       "      <td>1.696777</td>\n",
       "      <td>0.100055</td>\n",
       "      <td>0.016509</td>\n",
       "      <td>16.476204</td>\n",
       "      <td>2.718574</td>\n",
       "      <td>2.911519</td>\n",
       "      <td>0.480401</td>\n",
       "      <td>26.228724</td>\n",
       "      <td>4.327739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993-01-01</th>\n",
       "      <td>148.96</td>\n",
       "      <td>17.36</td>\n",
       "      <td>57.40</td>\n",
       "      <td>9.24</td>\n",
       "      <td>10.540585</td>\n",
       "      <td>1.696777</td>\n",
       "      <td>0.102556</td>\n",
       "      <td>0.016509</td>\n",
       "      <td>16.888109</td>\n",
       "      <td>2.718574</td>\n",
       "      <td>2.984307</td>\n",
       "      <td>0.480401</td>\n",
       "      <td>26.884442</td>\n",
       "      <td>4.327739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994-01-01</th>\n",
       "      <td>141.12</td>\n",
       "      <td>16.24</td>\n",
       "      <td>64.12</td>\n",
       "      <td>8.68</td>\n",
       "      <td>11.774605</td>\n",
       "      <td>1.593942</td>\n",
       "      <td>0.114563</td>\n",
       "      <td>0.015508</td>\n",
       "      <td>18.865254</td>\n",
       "      <td>2.553812</td>\n",
       "      <td>3.333689</td>\n",
       "      <td>0.451285</td>\n",
       "      <td>30.031889</td>\n",
       "      <td>4.065452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-01-01</th>\n",
       "      <td>143.08</td>\n",
       "      <td>16.24</td>\n",
       "      <td>59.36</td>\n",
       "      <td>7.84</td>\n",
       "      <td>10.900508</td>\n",
       "      <td>1.439690</td>\n",
       "      <td>0.106058</td>\n",
       "      <td>0.014008</td>\n",
       "      <td>17.464777</td>\n",
       "      <td>2.306669</td>\n",
       "      <td>3.086210</td>\n",
       "      <td>0.407613</td>\n",
       "      <td>27.802447</td>\n",
       "      <td>3.672021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-01-01</th>\n",
       "      <td>142.24</td>\n",
       "      <td>15.96</td>\n",
       "      <td>72.24</td>\n",
       "      <td>8.40</td>\n",
       "      <td>13.265712</td>\n",
       "      <td>1.542525</td>\n",
       "      <td>0.129071</td>\n",
       "      <td>0.015008</td>\n",
       "      <td>21.254303</td>\n",
       "      <td>2.471431</td>\n",
       "      <td>3.755860</td>\n",
       "      <td>0.436728</td>\n",
       "      <td>33.835054</td>\n",
       "      <td>3.934309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-01-01</th>\n",
       "      <td>139.72</td>\n",
       "      <td>15.40</td>\n",
       "      <td>62.44</td>\n",
       "      <td>8.40</td>\n",
       "      <td>11.466100</td>\n",
       "      <td>1.542525</td>\n",
       "      <td>0.111561</td>\n",
       "      <td>0.015008</td>\n",
       "      <td>18.370968</td>\n",
       "      <td>2.471431</td>\n",
       "      <td>3.246344</td>\n",
       "      <td>0.436728</td>\n",
       "      <td>29.245027</td>\n",
       "      <td>3.934309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-01-01</th>\n",
       "      <td>135.80</td>\n",
       "      <td>14.84</td>\n",
       "      <td>66.64</td>\n",
       "      <td>9.24</td>\n",
       "      <td>12.237362</td>\n",
       "      <td>1.696777</td>\n",
       "      <td>0.119065</td>\n",
       "      <td>0.016509</td>\n",
       "      <td>19.606683</td>\n",
       "      <td>2.718574</td>\n",
       "      <td>3.464708</td>\n",
       "      <td>0.480401</td>\n",
       "      <td>31.212182</td>\n",
       "      <td>4.327739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-01-01</th>\n",
       "      <td>129.36</td>\n",
       "      <td>14.00</td>\n",
       "      <td>62.44</td>\n",
       "      <td>10.08</td>\n",
       "      <td>11.466100</td>\n",
       "      <td>1.851030</td>\n",
       "      <td>0.111561</td>\n",
       "      <td>0.018010</td>\n",
       "      <td>18.370968</td>\n",
       "      <td>2.965717</td>\n",
       "      <td>3.246344</td>\n",
       "      <td>0.524073</td>\n",
       "      <td>29.245027</td>\n",
       "      <td>4.721170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>123.48</td>\n",
       "      <td>13.16</td>\n",
       "      <td>52.08</td>\n",
       "      <td>8.12</td>\n",
       "      <td>9.563653</td>\n",
       "      <td>1.491107</td>\n",
       "      <td>0.093051</td>\n",
       "      <td>0.014508</td>\n",
       "      <td>15.322870</td>\n",
       "      <td>2.389050</td>\n",
       "      <td>2.707713</td>\n",
       "      <td>0.422170</td>\n",
       "      <td>24.392713</td>\n",
       "      <td>3.803165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001-01-01</th>\n",
       "      <td>118.16</td>\n",
       "      <td>12.32</td>\n",
       "      <td>61.32</td>\n",
       "      <td>8.12</td>\n",
       "      <td>11.260430</td>\n",
       "      <td>1.491107</td>\n",
       "      <td>0.109560</td>\n",
       "      <td>0.014508</td>\n",
       "      <td>18.041444</td>\n",
       "      <td>2.389050</td>\n",
       "      <td>3.188113</td>\n",
       "      <td>0.422170</td>\n",
       "      <td>28.720453</td>\n",
       "      <td>3.803165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002-01-01</th>\n",
       "      <td>115.64</td>\n",
       "      <td>12.04</td>\n",
       "      <td>57.12</td>\n",
       "      <td>8.40</td>\n",
       "      <td>10.489168</td>\n",
       "      <td>1.542525</td>\n",
       "      <td>0.102056</td>\n",
       "      <td>0.015008</td>\n",
       "      <td>16.805728</td>\n",
       "      <td>2.471431</td>\n",
       "      <td>2.969750</td>\n",
       "      <td>0.436728</td>\n",
       "      <td>26.753299</td>\n",
       "      <td>3.934309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-01-01</th>\n",
       "      <td>110.32</td>\n",
       "      <td>11.20</td>\n",
       "      <td>62.72</td>\n",
       "      <td>8.96</td>\n",
       "      <td>11.517518</td>\n",
       "      <td>1.645360</td>\n",
       "      <td>0.112061</td>\n",
       "      <td>0.016009</td>\n",
       "      <td>18.453349</td>\n",
       "      <td>2.636193</td>\n",
       "      <td>3.260901</td>\n",
       "      <td>0.465843</td>\n",
       "      <td>29.376171</td>\n",
       "      <td>4.196596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-01-01</th>\n",
       "      <td>105.28</td>\n",
       "      <td>10.64</td>\n",
       "      <td>59.36</td>\n",
       "      <td>8.12</td>\n",
       "      <td>10.900508</td>\n",
       "      <td>1.491107</td>\n",
       "      <td>0.106058</td>\n",
       "      <td>0.014508</td>\n",
       "      <td>17.464777</td>\n",
       "      <td>2.389050</td>\n",
       "      <td>3.086210</td>\n",
       "      <td>0.422170</td>\n",
       "      <td>27.802447</td>\n",
       "      <td>3.803165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-01</th>\n",
       "      <td>100.24</td>\n",
       "      <td>10.08</td>\n",
       "      <td>59.64</td>\n",
       "      <td>7.56</td>\n",
       "      <td>10.951925</td>\n",
       "      <td>1.388272</td>\n",
       "      <td>0.106558</td>\n",
       "      <td>0.013507</td>\n",
       "      <td>17.547158</td>\n",
       "      <td>2.224288</td>\n",
       "      <td>3.100768</td>\n",
       "      <td>0.393055</td>\n",
       "      <td>27.933591</td>\n",
       "      <td>3.540878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-01-01</th>\n",
       "      <td>95.48</td>\n",
       "      <td>9.52</td>\n",
       "      <td>58.52</td>\n",
       "      <td>8.12</td>\n",
       "      <td>10.746255</td>\n",
       "      <td>1.491107</td>\n",
       "      <td>0.104557</td>\n",
       "      <td>0.014508</td>\n",
       "      <td>17.217633</td>\n",
       "      <td>2.389050</td>\n",
       "      <td>3.042537</td>\n",
       "      <td>0.422170</td>\n",
       "      <td>27.409017</td>\n",
       "      <td>3.803165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-01</th>\n",
       "      <td>91.28</td>\n",
       "      <td>8.96</td>\n",
       "      <td>60.76</td>\n",
       "      <td>8.12</td>\n",
       "      <td>11.157595</td>\n",
       "      <td>1.491107</td>\n",
       "      <td>0.108559</td>\n",
       "      <td>0.014508</td>\n",
       "      <td>17.876682</td>\n",
       "      <td>2.389050</td>\n",
       "      <td>3.158998</td>\n",
       "      <td>0.422170</td>\n",
       "      <td>28.458166</td>\n",
       "      <td>3.803165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-01</th>\n",
       "      <td>84.84</td>\n",
       "      <td>8.12</td>\n",
       "      <td>57.40</td>\n",
       "      <td>8.12</td>\n",
       "      <td>10.540585</td>\n",
       "      <td>1.491107</td>\n",
       "      <td>0.102556</td>\n",
       "      <td>0.014508</td>\n",
       "      <td>16.888109</td>\n",
       "      <td>2.389050</td>\n",
       "      <td>2.984307</td>\n",
       "      <td>0.422170</td>\n",
       "      <td>26.884442</td>\n",
       "      <td>3.803165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009-01-01</th>\n",
       "      <td>80.08</td>\n",
       "      <td>7.56</td>\n",
       "      <td>51.24</td>\n",
       "      <td>8.12</td>\n",
       "      <td>9.409400</td>\n",
       "      <td>1.491107</td>\n",
       "      <td>0.091550</td>\n",
       "      <td>0.014508</td>\n",
       "      <td>15.075727</td>\n",
       "      <td>2.389050</td>\n",
       "      <td>2.664040</td>\n",
       "      <td>0.422170</td>\n",
       "      <td>23.999282</td>\n",
       "      <td>3.803165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>75.04</td>\n",
       "      <td>7.00</td>\n",
       "      <td>58.52</td>\n",
       "      <td>7.00</td>\n",
       "      <td>10.746255</td>\n",
       "      <td>1.285437</td>\n",
       "      <td>0.104557</td>\n",
       "      <td>0.012507</td>\n",
       "      <td>17.217633</td>\n",
       "      <td>2.059526</td>\n",
       "      <td>3.042537</td>\n",
       "      <td>0.363940</td>\n",
       "      <td>27.409017</td>\n",
       "      <td>3.278591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-01</th>\n",
       "      <td>71.96</td>\n",
       "      <td>6.72</td>\n",
       "      <td>48.44</td>\n",
       "      <td>7.28</td>\n",
       "      <td>8.895226</td>\n",
       "      <td>1.336855</td>\n",
       "      <td>0.086547</td>\n",
       "      <td>0.013007</td>\n",
       "      <td>14.251917</td>\n",
       "      <td>2.141907</td>\n",
       "      <td>2.518464</td>\n",
       "      <td>0.378497</td>\n",
       "      <td>22.687846</td>\n",
       "      <td>3.409734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-01</th>\n",
       "      <td>70.28</td>\n",
       "      <td>6.44</td>\n",
       "      <td>69.72</td>\n",
       "      <td>4.20</td>\n",
       "      <td>12.802955</td>\n",
       "      <td>0.771262</td>\n",
       "      <td>0.124568</td>\n",
       "      <td>0.007504</td>\n",
       "      <td>20.512874</td>\n",
       "      <td>1.235715</td>\n",
       "      <td>3.624841</td>\n",
       "      <td>0.218364</td>\n",
       "      <td>32.654761</td>\n",
       "      <td>1.967154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01</th>\n",
       "      <td>65.80</td>\n",
       "      <td>5.88</td>\n",
       "      <td>62.44</td>\n",
       "      <td>3.64</td>\n",
       "      <td>11.466100</td>\n",
       "      <td>0.668427</td>\n",
       "      <td>0.111561</td>\n",
       "      <td>0.006504</td>\n",
       "      <td>18.370968</td>\n",
       "      <td>1.070953</td>\n",
       "      <td>3.246344</td>\n",
       "      <td>0.189249</td>\n",
       "      <td>29.245027</td>\n",
       "      <td>1.704867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-01</th>\n",
       "      <td>63.56</td>\n",
       "      <td>5.60</td>\n",
       "      <td>63.56</td>\n",
       "      <td>2.80</td>\n",
       "      <td>11.671770</td>\n",
       "      <td>0.514175</td>\n",
       "      <td>0.113562</td>\n",
       "      <td>0.005003</td>\n",
       "      <td>18.700492</td>\n",
       "      <td>0.823810</td>\n",
       "      <td>3.304574</td>\n",
       "      <td>0.145576</td>\n",
       "      <td>29.769602</td>\n",
       "      <td>1.311436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-01</th>\n",
       "      <td>62.44</td>\n",
       "      <td>5.32</td>\n",
       "      <td>60.76</td>\n",
       "      <td>2.80</td>\n",
       "      <td>11.157595</td>\n",
       "      <td>0.514175</td>\n",
       "      <td>0.108559</td>\n",
       "      <td>0.005003</td>\n",
       "      <td>17.876682</td>\n",
       "      <td>0.823810</td>\n",
       "      <td>3.158998</td>\n",
       "      <td>0.145576</td>\n",
       "      <td>28.458166</td>\n",
       "      <td>1.311436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>60.48</td>\n",
       "      <td>5.04</td>\n",
       "      <td>60.20</td>\n",
       "      <td>3.08</td>\n",
       "      <td>11.054760</td>\n",
       "      <td>0.565592</td>\n",
       "      <td>0.107559</td>\n",
       "      <td>0.005503</td>\n",
       "      <td>17.711920</td>\n",
       "      <td>0.906191</td>\n",
       "      <td>3.129883</td>\n",
       "      <td>0.160134</td>\n",
       "      <td>28.195878</td>\n",
       "      <td>1.442580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-01</th>\n",
       "      <td>61.04</td>\n",
       "      <td>5.04</td>\n",
       "      <td>57.68</td>\n",
       "      <td>2.80</td>\n",
       "      <td>10.592003</td>\n",
       "      <td>0.514175</td>\n",
       "      <td>0.103056</td>\n",
       "      <td>0.005003</td>\n",
       "      <td>16.970490</td>\n",
       "      <td>0.823810</td>\n",
       "      <td>2.998865</td>\n",
       "      <td>0.145576</td>\n",
       "      <td>27.015586</td>\n",
       "      <td>1.311436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01</th>\n",
       "      <td>60.76</td>\n",
       "      <td>5.04</td>\n",
       "      <td>59.92</td>\n",
       "      <td>3.08</td>\n",
       "      <td>11.003343</td>\n",
       "      <td>0.565592</td>\n",
       "      <td>0.107059</td>\n",
       "      <td>0.005503</td>\n",
       "      <td>17.629539</td>\n",
       "      <td>0.906191</td>\n",
       "      <td>3.115325</td>\n",
       "      <td>0.160134</td>\n",
       "      <td>28.064735</td>\n",
       "      <td>1.442580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01</th>\n",
       "      <td>60.48</td>\n",
       "      <td>5.04</td>\n",
       "      <td>56.84</td>\n",
       "      <td>2.80</td>\n",
       "      <td>10.437750</td>\n",
       "      <td>0.514175</td>\n",
       "      <td>0.101556</td>\n",
       "      <td>0.005003</td>\n",
       "      <td>16.723347</td>\n",
       "      <td>0.823810</td>\n",
       "      <td>2.955192</td>\n",
       "      <td>0.145576</td>\n",
       "      <td>26.622155</td>\n",
       "      <td>1.311436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54.32</td>\n",
       "      <td>2.80</td>\n",
       "      <td>9.974993</td>\n",
       "      <td>0.514175</td>\n",
       "      <td>0.097053</td>\n",
       "      <td>0.005003</td>\n",
       "      <td>15.981918</td>\n",
       "      <td>0.823810</td>\n",
       "      <td>2.824174</td>\n",
       "      <td>0.145576</td>\n",
       "      <td>25.441862</td>\n",
       "      <td>1.311436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56.28</td>\n",
       "      <td>3.64</td>\n",
       "      <td>10.334915</td>\n",
       "      <td>0.668427</td>\n",
       "      <td>0.100555</td>\n",
       "      <td>0.006504</td>\n",
       "      <td>16.558585</td>\n",
       "      <td>1.070953</td>\n",
       "      <td>2.926077</td>\n",
       "      <td>0.189249</td>\n",
       "      <td>26.359868</td>\n",
       "      <td>1.704867</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Invent  Invent_std  InTEM  InTEM_std  InTEM_Energy  \\\n",
       "Year                                                             \n",
       "1990-01-01  150.08       17.92  62.16      10.36     11.414683   \n",
       "1991-01-01  150.64       17.92  61.88       9.80     11.363265   \n",
       "1992-01-01  150.64       17.64  56.00       9.24     10.283498   \n",
       "1993-01-01  148.96       17.36  57.40       9.24     10.540585   \n",
       "1994-01-01  141.12       16.24  64.12       8.68     11.774605   \n",
       "1995-01-01  143.08       16.24  59.36       7.84     10.900508   \n",
       "1996-01-01  142.24       15.96  72.24       8.40     13.265712   \n",
       "1997-01-01  139.72       15.40  62.44       8.40     11.466100   \n",
       "1998-01-01  135.80       14.84  66.64       9.24     12.237362   \n",
       "1999-01-01  129.36       14.00  62.44      10.08     11.466100   \n",
       "2000-01-01  123.48       13.16  52.08       8.12      9.563653   \n",
       "2001-01-01  118.16       12.32  61.32       8.12     11.260430   \n",
       "2002-01-01  115.64       12.04  57.12       8.40     10.489168   \n",
       "2003-01-01  110.32       11.20  62.72       8.96     11.517518   \n",
       "2004-01-01  105.28       10.64  59.36       8.12     10.900508   \n",
       "2005-01-01  100.24       10.08  59.64       7.56     10.951925   \n",
       "2006-01-01   95.48        9.52  58.52       8.12     10.746255   \n",
       "2007-01-01   91.28        8.96  60.76       8.12     11.157595   \n",
       "2008-01-01   84.84        8.12  57.40       8.12     10.540585   \n",
       "2009-01-01   80.08        7.56  51.24       8.12      9.409400   \n",
       "2010-01-01   75.04        7.00  58.52       7.00     10.746255   \n",
       "2011-01-01   71.96        6.72  48.44       7.28      8.895226   \n",
       "2012-01-01   70.28        6.44  69.72       4.20     12.802955   \n",
       "2013-01-01   65.80        5.88  62.44       3.64     11.466100   \n",
       "2014-01-01   63.56        5.60  63.56       2.80     11.671770   \n",
       "2015-01-01   62.44        5.32  60.76       2.80     11.157595   \n",
       "2016-01-01   60.48        5.04  60.20       3.08     11.054760   \n",
       "2017-01-01   61.04        5.04  57.68       2.80     10.592003   \n",
       "2018-01-01   60.76        5.04  59.92       3.08     11.003343   \n",
       "2019-01-01   60.48        5.04  56.84       2.80     10.437750   \n",
       "2020-01-01     NaN         NaN  54.32       2.80      9.974993   \n",
       "2021-01-01     NaN         NaN  56.28       3.64     10.334915   \n",
       "\n",
       "            InTEM_Energy_std  InTEM_Industry  InTEM_Industry_std  \\\n",
       "Year                                                               \n",
       "1990-01-01          1.902447        0.111061            0.018510   \n",
       "1991-01-01          1.799612        0.110561            0.017510   \n",
       "1992-01-01          1.696777        0.100055            0.016509   \n",
       "1993-01-01          1.696777        0.102556            0.016509   \n",
       "1994-01-01          1.593942        0.114563            0.015508   \n",
       "1995-01-01          1.439690        0.106058            0.014008   \n",
       "1996-01-01          1.542525        0.129071            0.015008   \n",
       "1997-01-01          1.542525        0.111561            0.015008   \n",
       "1998-01-01          1.696777        0.119065            0.016509   \n",
       "1999-01-01          1.851030        0.111561            0.018010   \n",
       "2000-01-01          1.491107        0.093051            0.014508   \n",
       "2001-01-01          1.491107        0.109560            0.014508   \n",
       "2002-01-01          1.542525        0.102056            0.015008   \n",
       "2003-01-01          1.645360        0.112061            0.016009   \n",
       "2004-01-01          1.491107        0.106058            0.014508   \n",
       "2005-01-01          1.388272        0.106558            0.013507   \n",
       "2006-01-01          1.491107        0.104557            0.014508   \n",
       "2007-01-01          1.491107        0.108559            0.014508   \n",
       "2008-01-01          1.491107        0.102556            0.014508   \n",
       "2009-01-01          1.491107        0.091550            0.014508   \n",
       "2010-01-01          1.285437        0.104557            0.012507   \n",
       "2011-01-01          1.336855        0.086547            0.013007   \n",
       "2012-01-01          0.771262        0.124568            0.007504   \n",
       "2013-01-01          0.668427        0.111561            0.006504   \n",
       "2014-01-01          0.514175        0.113562            0.005003   \n",
       "2015-01-01          0.514175        0.108559            0.005003   \n",
       "2016-01-01          0.565592        0.107559            0.005503   \n",
       "2017-01-01          0.514175        0.103056            0.005003   \n",
       "2018-01-01          0.565592        0.107059            0.005503   \n",
       "2019-01-01          0.514175        0.101556            0.005003   \n",
       "2020-01-01          0.514175        0.097053            0.005003   \n",
       "2021-01-01          0.668427        0.100555            0.006504   \n",
       "\n",
       "            InTEM_Agriculture  InTEM_Agriculture_std  InTEM_LULUCF  \\\n",
       "Year                                                                 \n",
       "1990-01-01          18.288587               3.048098      3.231786   \n",
       "1991-01-01          18.206206               2.883336      3.217229   \n",
       "1992-01-01          16.476204               2.718574      2.911519   \n",
       "1993-01-01          16.888109               2.718574      2.984307   \n",
       "1994-01-01          18.865254               2.553812      3.333689   \n",
       "1995-01-01          17.464777               2.306669      3.086210   \n",
       "1996-01-01          21.254303               2.471431      3.755860   \n",
       "1997-01-01          18.370968               2.471431      3.246344   \n",
       "1998-01-01          19.606683               2.718574      3.464708   \n",
       "1999-01-01          18.370968               2.965717      3.246344   \n",
       "2000-01-01          15.322870               2.389050      2.707713   \n",
       "2001-01-01          18.041444               2.389050      3.188113   \n",
       "2002-01-01          16.805728               2.471431      2.969750   \n",
       "2003-01-01          18.453349               2.636193      3.260901   \n",
       "2004-01-01          17.464777               2.389050      3.086210   \n",
       "2005-01-01          17.547158               2.224288      3.100768   \n",
       "2006-01-01          17.217633               2.389050      3.042537   \n",
       "2007-01-01          17.876682               2.389050      3.158998   \n",
       "2008-01-01          16.888109               2.389050      2.984307   \n",
       "2009-01-01          15.075727               2.389050      2.664040   \n",
       "2010-01-01          17.217633               2.059526      3.042537   \n",
       "2011-01-01          14.251917               2.141907      2.518464   \n",
       "2012-01-01          20.512874               1.235715      3.624841   \n",
       "2013-01-01          18.370968               1.070953      3.246344   \n",
       "2014-01-01          18.700492               0.823810      3.304574   \n",
       "2015-01-01          17.876682               0.823810      3.158998   \n",
       "2016-01-01          17.711920               0.906191      3.129883   \n",
       "2017-01-01          16.970490               0.823810      2.998865   \n",
       "2018-01-01          17.629539               0.906191      3.115325   \n",
       "2019-01-01          16.723347               0.823810      2.955192   \n",
       "2020-01-01          15.981918               0.823810      2.824174   \n",
       "2021-01-01          16.558585               1.070953      2.926077   \n",
       "\n",
       "            InTEM_LULUCF_std  InTEM_Waste  InTEM_Waste_std  \n",
       "Year                                                        \n",
       "1990-01-01          0.538631    29.113884         4.852314  \n",
       "1991-01-01          0.509516    28.982740         4.590027  \n",
       "1992-01-01          0.480401    26.228724         4.327739  \n",
       "1993-01-01          0.480401    26.884442         4.327739  \n",
       "1994-01-01          0.451285    30.031889         4.065452  \n",
       "1995-01-01          0.407613    27.802447         3.672021  \n",
       "1996-01-01          0.436728    33.835054         3.934309  \n",
       "1997-01-01          0.436728    29.245027         3.934309  \n",
       "1998-01-01          0.480401    31.212182         4.327739  \n",
       "1999-01-01          0.524073    29.245027         4.721170  \n",
       "2000-01-01          0.422170    24.392713         3.803165  \n",
       "2001-01-01          0.422170    28.720453         3.803165  \n",
       "2002-01-01          0.436728    26.753299         3.934309  \n",
       "2003-01-01          0.465843    29.376171         4.196596  \n",
       "2004-01-01          0.422170    27.802447         3.803165  \n",
       "2005-01-01          0.393055    27.933591         3.540878  \n",
       "2006-01-01          0.422170    27.409017         3.803165  \n",
       "2007-01-01          0.422170    28.458166         3.803165  \n",
       "2008-01-01          0.422170    26.884442         3.803165  \n",
       "2009-01-01          0.422170    23.999282         3.803165  \n",
       "2010-01-01          0.363940    27.409017         3.278591  \n",
       "2011-01-01          0.378497    22.687846         3.409734  \n",
       "2012-01-01          0.218364    32.654761         1.967154  \n",
       "2013-01-01          0.189249    29.245027         1.704867  \n",
       "2014-01-01          0.145576    29.769602         1.311436  \n",
       "2015-01-01          0.145576    28.458166         1.311436  \n",
       "2016-01-01          0.160134    28.195878         1.442580  \n",
       "2017-01-01          0.145576    27.015586         1.311436  \n",
       "2018-01-01          0.160134    28.064735         1.442580  \n",
       "2019-01-01          0.145576    26.622155         1.311436  \n",
       "2020-01-01          0.145576    25.441862         1.311436  \n",
       "2021-01-01          0.189249    26.359868         1.704867  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ch4[\"InTEM_Energy\"] = df_ch4[\"InTEM\"] *0.183633889\n",
    "df_ch4[\"InTEM_Energy_std\"] = df_ch4[\"InTEM_std\"] *0.183633889\n",
    "\n",
    "df_ch4[\"InTEM_Industry\"] = df_ch4[\"InTEM\"] *0.001786693\n",
    "df_ch4[\"InTEM_Industry_std\"] = df_ch4[\"InTEM_std\"] *0.001786693\n",
    "\n",
    "df_ch4[\"InTEM_Agriculture\"] = df_ch4[\"InTEM\"] *0.294217933\n",
    "df_ch4[\"InTEM_Agriculture_std\"] = df_ch4[\"InTEM_std\"] *0.294217933\n",
    "\n",
    "df_ch4[\"InTEM_LULUCF\"] = df_ch4[\"InTEM\"] *0.051991413\n",
    "df_ch4[\"InTEM_LULUCF_std\"] = df_ch4[\"InTEM_std\"] *0.051991413\n",
    "\n",
    "df_ch4[\"InTEM_Waste\"] = df_ch4[\"InTEM\"] *0.468370072\n",
    "df_ch4[\"InTEM_Waste_std\"] = df_ch4[\"InTEM_std\"] *0.468370072\n",
    "\n",
    "df_ch4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3d8f24f9-15b3-4281-958e-80b459372be1",
   "metadata": {},
   "outputs": [
    {
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     "metadata": {},
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   ],
   "source": [
    "fig = go.Figure()\n",
    "\n",
    "alpha = 0.6\n",
    "color_1 = [\"rgba(86, 119, 194, 1)\", f\"rgba(86, 119, 194, {alpha})\"]\n",
    "color_2 = [\"rgba(99, 182, 137, 1)\", f\"rgba(99, 182, 137, {alpha})\"]\n",
    "color_3 = [\"rgba(238,92,66, 1)\", f\"rgba(238,92,66, {alpha})\"]\n",
    "color_4 = [\"rgba(255,215,0, 1)\", f\"rgba(255,215,0, {alpha})\"]\n",
    "color_5 = [\"rgba(142,229,238, 1)\", f\"rgba(142,229,238, {alpha})\"]\n",
    "color_6 = [\"rgba(0, 0, 0, 1)\", f\"rgba(0, 0, 0, {alpha})\"]\n",
    "\n",
    "date_range = [1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003,2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]\n",
    "\n",
    "def errorbars(df, var, color, dash, name, showlegend=False):\n",
    "\n",
    "    error_minus=df[var] - df[f\"{var}_std\"]\n",
    "    error_plus=df[var] + df[f\"{var}_std\"]\n",
    "\n",
    "    fig.add_trace(go.Scatter(\n",
    "        x=date_range,\n",
    "        y=error_minus.values,\n",
    "        fill=None,\n",
    "        mode='lines',\n",
    "        line=dict(color=color[1], width=0.1),\n",
    "        showlegend=False,\n",
    "        hoverinfo='skip'\n",
    "        ))\n",
    "\n",
    "    fig.add_trace(go.Scatter(\n",
    "        x=date_range,\n",
    "        y=error_plus.values,\n",
    "        fill=\"tonexty\",\n",
    "        mode='lines',\n",
    "        line=dict(color=color[1], width=0.1),\n",
    "        showlegend=False,\n",
    "        hoverinfo='skip'\n",
    "        ))\n",
    "    \n",
    "    fig.add_trace(go.Scatter(\n",
    "        x=date_range,\n",
    "        y=df[var],\n",
    "        mode=\"lines\",\n",
    "        line=dict(color=color[0], dash=\"dot\", width=0.1),\n",
    "        showlegend=showlegend,\n",
    "        name=name,\n",
    "        hovertemplate = 'InTEM %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "        ))\n",
    "\n",
    "#date_range = [\"2019-03-01\", \"2019-06-01\"]\n",
    "\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=dfCH4_CO2_equ.loc[\"1. Energy\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_1[0], width=3.),\n",
    "    showlegend=True,\n",
    "    hovertemplate = 'Inventory Energy %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"Energy\",\n",
    "    ))\n",
    "\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=dfCH4_CO2_equ.loc[\"2.  Industrial processes\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_2[0], width=3.),\n",
    "    showlegend=True,\n",
    "    hovertemplate = 'Inventory Industrial Processes %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"Industrial processes\",\n",
    "    ))\n",
    "\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=dfCH4_CO2_equ.loc[\"3.  Agriculture\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_3[0], width=3.),\n",
    "    showlegend=True,\n",
    "    hovertemplate = 'Inventory Agriculture %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"Agriculture\",\n",
    "    ))\n",
    "\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=dfCH4_CO2_equ.loc[\"4. Land use, land-use change and forestry\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_4[0], width=3.),\n",
    "    showlegend=True,\n",
    "    hovertemplate = 'Inventory LULUCF %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"Land use, Land-use change and forestry\",\n",
    "    ))\n",
    "\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=dfCH4_CO2_equ.loc[\"5.  Waste\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_5[0], width=3.),\n",
    "    showlegend=True,\n",
    "    hovertemplate = 'Inventory Waste %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"Waste\",\n",
    "    ))\n",
    "\n",
    "errorbars(df_ch4, \"InTEM_Energy\", color_1, None, \"InTEM\")\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=df_ch4[\"InTEM_Energy\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_1[0], dash=\"dot\", width=5),\n",
    "    showlegend=False,\n",
    "    hovertemplate = 'InTEM Energy %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"InTEM\",\n",
    "    ))\n",
    "\n",
    "errorbars(df_ch4, \"InTEM_Industry\", color_2, None, \"InTEM\")\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=df_ch4[\"InTEM_Industry\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_2[0], dash=\"dot\", width=5),\n",
    "    showlegend=False,\n",
    "    hovertemplate = 'InTEM Industrial Processes %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"InTEM\",\n",
    "    ))\n",
    "\n",
    "errorbars(df_ch4, \"InTEM_Agriculture\", color_3, None, \"InTEM\")\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=df_ch4[\"InTEM_Agriculture\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_3[0], dash=\"dot\", width=5),\n",
    "    showlegend=False,\n",
    "    hovertemplate = 'InTEM Agriculture %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"InTEM\",\n",
    "    ))\n",
    "\n",
    "errorbars(df_ch4, \"InTEM_LULUCF\", color_4, None, \"InTEM\")\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=df_ch4[\"InTEM_LULUCF\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_4[0], dash=\"dot\", width=5),\n",
    "    showlegend=False,\n",
    "    hovertemplate = 'InTEM LULUCF %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"InTEM\",\n",
    "    ))\n",
    "\n",
    "errorbars(df_ch4, \"InTEM_Waste\", color_5, None, \"InTEM\")\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=df_ch4[\"InTEM_Waste\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_5[0], dash=\"dot\", width=5),\n",
    "    showlegend=False,\n",
    "    hovertemplate = 'InTEM Waste %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"InTEM\",\n",
    "    ))\n",
    "\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=[pd.Timestamp(\"1900-01-01\"), pd.Timestamp(\"1900-01-02\")],\n",
    "    y=[0., 0.],\n",
    "    line=dict(color=\"black\", dash=\"dot\", width=4),\n",
    "    marker=dict(opacity=0., size=0),\n",
    "    showlegend=True,\n",
    "    name=\"InTEM\"\n",
    "    ))\n",
    "\n",
    "#fig.add_trace(go.Scatter(\n",
    "#    x=date_range,\n",
    "#    y=df_ch4[\"InTEM\"],\n",
    "#    mode='lines',\n",
    "#    line=dict(color=color_6[0], dash=\"dot\", width=5),\n",
    "#    showlegend=False,\n",
    "#    hovertemplate = 'Inventory %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "#   name=\"InTEM\",\n",
    "#    ))\n",
    "\n",
    "\n",
    "fig.update_layout(\n",
    "    yaxis_title=\"Annual Methane (CH₄) Emissions (Gt yr⁻¹)\",\n",
    "    template=\"simple_white\",\n",
    "    autosize=False,\n",
    "    width=550*2,\n",
    "    height=400*2,\n",
    "    legend=dict(\n",
    "        yanchor=\"top\",\n",
    "        y=0.99,\n",
    "        xanchor=\"right\",\n",
    "        x=0.99,\n",
    "        traceorder=\"normal\"),\n",
    "    margin=dict(l=55, r=10, t=10, b=40),\n",
    "    # paper_bgcolor='rgba(0,0,0,0)',\n",
    "    # plot_bgcolor='rgba(0,0,0,0)'\n",
    ")\n",
    "\n",
    "fig.update_yaxes(showgrid=True, gridwidth=1, gridcolor='Lightgrey')\n",
    "\n",
    "\n",
    "fig.layout.font.size=20\n",
    "fig.layout.font.family=\"Arial\"\n",
    "\n",
    "fig.write_image(\"Annual_methane_emissions_by_sector_BOTH.png\")\n",
    "fig.write_html(\"Annual_methane_emissions_by_sector_BOTH.html\")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "524c88fc-d28a-4672-9666-6a63dcd36908",
   "metadata": {},
   "source": [
    "N2O data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c65e708a-5881-4f4f-b400-ad946751859f",
   "metadata": {},
   "outputs": [],
   "source": [
    "xlsN2O = pd.ExcelFile('GBR_2022_2020_10052022_142545.xlsx')\n",
    "dfN2O = pd.read_excel(xlsN2O, 'Table10s4', header=4)\n",
    "dfN2O.set_index(\"GREENHOUSE GAS SOURCE AND SINK CATEGORIES\", inplace=True)\n",
    "dfN2O.dropna(inplace=True)\n",
    "#dfN2O"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7f85d26e-3af4-4302-90ae-0c433902e657",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfN2O.drop(\n",
    "    labels = [\"D.  Non-energy products from fuels and solvent use\",  \"E.  Prescribed burning of savannas\", \"F.  Other land\", \"E.  Other \",\"6.  Other (as specified in summary 1.A)\", \"International bunkers\", \"Navigation\", \"Multilateral operations\",\n",
    " \"Aviation\", \"Indirect N2O\", \"H.  Other \"],\n",
    "    axis=0,\n",
    "    inplace = True\n",
    ")\n",
    "dfN2O.drop(\n",
    "    labels = [\"Base year(1)\", \"Change from base to latest reported year\"],\n",
    "    axis=1,\n",
    "    inplace = True\n",
    ")\n",
    "#dfN2O"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "37292315-fde1-4c94-9ad4-bb760fadfaaa",
   "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>1990</th>\n",
       "      <th>1991</th>\n",
       "      <th>1992</th>\n",
       "      <th>1993</th>\n",
       "      <th>1994</th>\n",
       "      <th>1995</th>\n",
       "      <th>1996</th>\n",
       "      <th>1997</th>\n",
       "      <th>1998</th>\n",
       "      <th>1999</th>\n",
       "      <th>...</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GREENHOUSE GAS SOURCE AND SINK CATEGORIES</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1. Energy</th>\n",
       "      <td>3.285956</td>\n",
       "      <td>3.264935</td>\n",
       "      <td>3.213452</td>\n",
       "      <td>3.181361</td>\n",
       "      <td>3.251002</td>\n",
       "      <td>3.339232</td>\n",
       "      <td>3.208507</td>\n",
       "      <td>3.107244</td>\n",
       "      <td>3.128601</td>\n",
       "      <td>3.058019</td>\n",
       "      <td>...</td>\n",
       "      <td>2.150863</td>\n",
       "      <td>2.309117</td>\n",
       "      <td>2.286534</td>\n",
       "      <td>2.222302</td>\n",
       "      <td>2.242441</td>\n",
       "      <td>2.109777</td>\n",
       "      <td>2.100562</td>\n",
       "      <td>2.131208</td>\n",
       "      <td>2.09926</td>\n",
       "      <td>1.915408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A. Fuel combustion (sectoral approach)</th>\n",
       "      <td>3.246137</td>\n",
       "      <td>3.22632</td>\n",
       "      <td>3.174377</td>\n",
       "      <td>3.140323</td>\n",
       "      <td>3.199995</td>\n",
       "      <td>3.285275</td>\n",
       "      <td>3.153251</td>\n",
       "      <td>3.058091</td>\n",
       "      <td>3.078366</td>\n",
       "      <td>3.01708</td>\n",
       "      <td>...</td>\n",
       "      <td>2.107613</td>\n",
       "      <td>2.276149</td>\n",
       "      <td>2.255225</td>\n",
       "      <td>2.191072</td>\n",
       "      <td>2.210777</td>\n",
       "      <td>2.077081</td>\n",
       "      <td>2.067539</td>\n",
       "      <td>2.097989</td>\n",
       "      <td>2.066384</td>\n",
       "      <td>1.88792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.  Energy industries</th>\n",
       "      <td>1.27773</td>\n",
       "      <td>1.264945</td>\n",
       "      <td>1.223495</td>\n",
       "      <td>1.105359</td>\n",
       "      <td>1.074818</td>\n",
       "      <td>1.0574</td>\n",
       "      <td>1.01698</td>\n",
       "      <td>0.954882</td>\n",
       "      <td>1.003794</td>\n",
       "      <td>0.941172</td>\n",
       "      <td>...</td>\n",
       "      <td>0.874099</td>\n",
       "      <td>1.016464</td>\n",
       "      <td>0.984988</td>\n",
       "      <td>0.881654</td>\n",
       "      <td>0.850826</td>\n",
       "      <td>0.676562</td>\n",
       "      <td>0.633491</td>\n",
       "      <td>0.64059</td>\n",
       "      <td>0.635226</td>\n",
       "      <td>0.623444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.  Manufacturing industries and construction</th>\n",
       "      <td>0.280459</td>\n",
       "      <td>0.278801</td>\n",
       "      <td>0.276218</td>\n",
       "      <td>0.26722</td>\n",
       "      <td>0.277231</td>\n",
       "      <td>0.267541</td>\n",
       "      <td>0.25793</td>\n",
       "      <td>0.244279</td>\n",
       "      <td>0.241303</td>\n",
       "      <td>0.23274</td>\n",
       "      <td>...</td>\n",
       "      <td>0.180455</td>\n",
       "      <td>0.183006</td>\n",
       "      <td>0.167014</td>\n",
       "      <td>0.185669</td>\n",
       "      <td>0.198402</td>\n",
       "      <td>0.199893</td>\n",
       "      <td>0.218895</td>\n",
       "      <td>0.233418</td>\n",
       "      <td>0.221835</td>\n",
       "      <td>0.222871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.  Transport</th>\n",
       "      <td>1.282627</td>\n",
       "      <td>1.262918</td>\n",
       "      <td>1.285411</td>\n",
       "      <td>1.359839</td>\n",
       "      <td>1.479657</td>\n",
       "      <td>1.642836</td>\n",
       "      <td>1.549639</td>\n",
       "      <td>1.552822</td>\n",
       "      <td>1.540839</td>\n",
       "      <td>1.552278</td>\n",
       "      <td>...</td>\n",
       "      <td>0.871175</td>\n",
       "      <td>0.889941</td>\n",
       "      <td>0.914265</td>\n",
       "      <td>0.94909</td>\n",
       "      <td>0.984138</td>\n",
       "      <td>1.020617</td>\n",
       "      <td>1.034983</td>\n",
       "      <td>1.038684</td>\n",
       "      <td>1.026816</td>\n",
       "      <td>0.863881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.  Other sectors</th>\n",
       "      <td>0.355414</td>\n",
       "      <td>0.377863</td>\n",
       "      <td>0.349621</td>\n",
       "      <td>0.368397</td>\n",
       "      <td>0.33065</td>\n",
       "      <td>0.280404</td>\n",
       "      <td>0.292241</td>\n",
       "      <td>0.270832</td>\n",
       "      <td>0.262208</td>\n",
       "      <td>0.260693</td>\n",
       "      <td>...</td>\n",
       "      <td>0.155613</td>\n",
       "      <td>0.162673</td>\n",
       "      <td>0.167131</td>\n",
       "      <td>0.155482</td>\n",
       "      <td>0.161833</td>\n",
       "      <td>0.16545</td>\n",
       "      <td>0.165194</td>\n",
       "      <td>0.169944</td>\n",
       "      <td>0.166119</td>\n",
       "      <td>0.164571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.  Other</th>\n",
       "      <td>0.049908</td>\n",
       "      <td>0.041793</td>\n",
       "      <td>0.039633</td>\n",
       "      <td>0.039507</td>\n",
       "      <td>0.037639</td>\n",
       "      <td>0.037094</td>\n",
       "      <td>0.036461</td>\n",
       "      <td>0.035277</td>\n",
       "      <td>0.030223</td>\n",
       "      <td>0.030197</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026271</td>\n",
       "      <td>0.024065</td>\n",
       "      <td>0.021828</td>\n",
       "      <td>0.019177</td>\n",
       "      <td>0.015578</td>\n",
       "      <td>0.01456</td>\n",
       "      <td>0.014975</td>\n",
       "      <td>0.015353</td>\n",
       "      <td>0.016388</td>\n",
       "      <td>0.013153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B. Fugitive emissions from fuels</th>\n",
       "      <td>0.039819</td>\n",
       "      <td>0.038615</td>\n",
       "      <td>0.039075</td>\n",
       "      <td>0.041039</td>\n",
       "      <td>0.051007</td>\n",
       "      <td>0.053957</td>\n",
       "      <td>0.055257</td>\n",
       "      <td>0.049153</td>\n",
       "      <td>0.050235</td>\n",
       "      <td>0.04094</td>\n",
       "      <td>...</td>\n",
       "      <td>0.04325</td>\n",
       "      <td>0.032969</td>\n",
       "      <td>0.031308</td>\n",
       "      <td>0.03123</td>\n",
       "      <td>0.031663</td>\n",
       "      <td>0.032696</td>\n",
       "      <td>0.033023</td>\n",
       "      <td>0.033219</td>\n",
       "      <td>0.032875</td>\n",
       "      <td>0.027488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.  Solid fuels</th>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.000033</td>\n",
       "      <td>0.000023</td>\n",
       "      <td>0.00004</td>\n",
       "      <td>0.000023</td>\n",
       "      <td>0.000026</td>\n",
       "      <td>0.000025</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>0.000029</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000065</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.000033</td>\n",
       "      <td>0.000059</td>\n",
       "      <td>0.000066</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.000014</td>\n",
       "      <td>0.000015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.  Oil and natural gas and other emissions from energy production</th>\n",
       "      <td>0.039738</td>\n",
       "      <td>0.038583</td>\n",
       "      <td>0.039051</td>\n",
       "      <td>0.040999</td>\n",
       "      <td>0.050984</td>\n",
       "      <td>0.053931</td>\n",
       "      <td>0.055231</td>\n",
       "      <td>0.049136</td>\n",
       "      <td>0.050207</td>\n",
       "      <td>0.040925</td>\n",
       "      <td>...</td>\n",
       "      <td>0.043185</td>\n",
       "      <td>0.032952</td>\n",
       "      <td>0.031275</td>\n",
       "      <td>0.031172</td>\n",
       "      <td>0.031597</td>\n",
       "      <td>0.032678</td>\n",
       "      <td>0.033008</td>\n",
       "      <td>0.033209</td>\n",
       "      <td>0.032861</td>\n",
       "      <td>0.027474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.  Industrial processes</th>\n",
       "      <td>21.710464</td>\n",
       "      <td>21.860542</td>\n",
       "      <td>17.986555</td>\n",
       "      <td>14.619497</td>\n",
       "      <td>14.601834</td>\n",
       "      <td>13.257955</td>\n",
       "      <td>13.166306</td>\n",
       "      <td>13.325989</td>\n",
       "      <td>13.569144</td>\n",
       "      <td>5.125104</td>\n",
       "      <td>...</td>\n",
       "      <td>1.043901</td>\n",
       "      <td>0.824494</td>\n",
       "      <td>0.777342</td>\n",
       "      <td>0.796475</td>\n",
       "      <td>0.763157</td>\n",
       "      <td>0.772252</td>\n",
       "      <td>0.798955</td>\n",
       "      <td>0.780851</td>\n",
       "      <td>0.805246</td>\n",
       "      <td>0.721061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B.  Chemical industry</th>\n",
       "      <td>21.1621</td>\n",
       "      <td>21.311801</td>\n",
       "      <td>17.438376</td>\n",
       "      <td>14.072075</td>\n",
       "      <td>14.053472</td>\n",
       "      <td>12.710206</td>\n",
       "      <td>12.630808</td>\n",
       "      <td>12.791201</td>\n",
       "      <td>13.030556</td>\n",
       "      <td>4.58156</td>\n",
       "      <td>...</td>\n",
       "      <td>0.178576</td>\n",
       "      <td>0.034512</td>\n",
       "      <td>0.039876</td>\n",
       "      <td>0.037347</td>\n",
       "      <td>0.027558</td>\n",
       "      <td>0.023636</td>\n",
       "      <td>0.03485</td>\n",
       "      <td>0.023573</td>\n",
       "      <td>0.035425</td>\n",
       "      <td>0.045426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C.  Metal industry</th>\n",
       "      <td>0.018432</td>\n",
       "      <td>0.016916</td>\n",
       "      <td>0.017482</td>\n",
       "      <td>0.017726</td>\n",
       "      <td>0.018203</td>\n",
       "      <td>0.01863</td>\n",
       "      <td>0.018269</td>\n",
       "      <td>0.018885</td>\n",
       "      <td>0.017514</td>\n",
       "      <td>0.017961</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009378</td>\n",
       "      <td>0.009791</td>\n",
       "      <td>0.01173</td>\n",
       "      <td>0.011791</td>\n",
       "      <td>0.010359</td>\n",
       "      <td>0.006754</td>\n",
       "      <td>0.006571</td>\n",
       "      <td>0.006434</td>\n",
       "      <td>0.006425</td>\n",
       "      <td>0.006333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G.  Other product manufacture and use</th>\n",
       "      <td>0.529931</td>\n",
       "      <td>0.531825</td>\n",
       "      <td>0.530698</td>\n",
       "      <td>0.529695</td>\n",
       "      <td>0.530159</td>\n",
       "      <td>0.529119</td>\n",
       "      <td>0.517228</td>\n",
       "      <td>0.515903</td>\n",
       "      <td>0.521074</td>\n",
       "      <td>0.525583</td>\n",
       "      <td>...</td>\n",
       "      <td>0.855947</td>\n",
       "      <td>0.780191</td>\n",
       "      <td>0.725735</td>\n",
       "      <td>0.747337</td>\n",
       "      <td>0.72524</td>\n",
       "      <td>0.741862</td>\n",
       "      <td>0.757534</td>\n",
       "      <td>0.750844</td>\n",
       "      <td>0.763396</td>\n",
       "      <td>0.669302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.  Agriculture</th>\n",
       "      <td>16.204651</td>\n",
       "      <td>16.274696</td>\n",
       "      <td>15.768956</td>\n",
       "      <td>15.385156</td>\n",
       "      <td>15.898663</td>\n",
       "      <td>15.942785</td>\n",
       "      <td>16.201504</td>\n",
       "      <td>16.445324</td>\n",
       "      <td>16.176713</td>\n",
       "      <td>16.223455</td>\n",
       "      <td>...</td>\n",
       "      <td>13.468656</td>\n",
       "      <td>13.303269</td>\n",
       "      <td>13.436637</td>\n",
       "      <td>13.909054</td>\n",
       "      <td>13.606263</td>\n",
       "      <td>13.43906</td>\n",
       "      <td>13.8057</td>\n",
       "      <td>13.678577</td>\n",
       "      <td>13.652365</td>\n",
       "      <td>12.961309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B.  Manure management</th>\n",
       "      <td>3.053539</td>\n",
       "      <td>3.035164</td>\n",
       "      <td>3.045143</td>\n",
       "      <td>3.064648</td>\n",
       "      <td>3.09343</td>\n",
       "      <td>3.097299</td>\n",
       "      <td>3.220315</td>\n",
       "      <td>3.264805</td>\n",
       "      <td>3.226704</td>\n",
       "      <td>3.134607</td>\n",
       "      <td>...</td>\n",
       "      <td>2.628067</td>\n",
       "      <td>2.594653</td>\n",
       "      <td>2.58535</td>\n",
       "      <td>2.598034</td>\n",
       "      <td>2.592119</td>\n",
       "      <td>2.585171</td>\n",
       "      <td>2.571979</td>\n",
       "      <td>2.537865</td>\n",
       "      <td>2.534011</td>\n",
       "      <td>2.501978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D.  Agricultural soils</th>\n",
       "      <td>12.940808</td>\n",
       "      <td>13.035955</td>\n",
       "      <td>12.536997</td>\n",
       "      <td>12.166429</td>\n",
       "      <td>12.647957</td>\n",
       "      <td>12.688672</td>\n",
       "      <td>12.830133</td>\n",
       "      <td>13.027195</td>\n",
       "      <td>12.796137</td>\n",
       "      <td>12.932957</td>\n",
       "      <td>...</td>\n",
       "      <td>10.73068</td>\n",
       "      <td>10.600574</td>\n",
       "      <td>10.742243</td>\n",
       "      <td>11.201433</td>\n",
       "      <td>10.907639</td>\n",
       "      <td>10.747497</td>\n",
       "      <td>11.126467</td>\n",
       "      <td>11.037445</td>\n",
       "      <td>11.01363</td>\n",
       "      <td>10.358491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>J.  Other</th>\n",
       "      <td>0.159032</td>\n",
       "      <td>0.158482</td>\n",
       "      <td>0.153831</td>\n",
       "      <td>0.152977</td>\n",
       "      <td>0.157276</td>\n",
       "      <td>0.156813</td>\n",
       "      <td>0.151056</td>\n",
       "      <td>0.153324</td>\n",
       "      <td>0.153872</td>\n",
       "      <td>0.155891</td>\n",
       "      <td>...</td>\n",
       "      <td>0.109909</td>\n",
       "      <td>0.108042</td>\n",
       "      <td>0.109044</td>\n",
       "      <td>0.109587</td>\n",
       "      <td>0.106505</td>\n",
       "      <td>0.106392</td>\n",
       "      <td>0.107254</td>\n",
       "      <td>0.103266</td>\n",
       "      <td>0.104724</td>\n",
       "      <td>0.100841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4. Land use, land-use change and forestry</th>\n",
       "      <td>2.18564</td>\n",
       "      <td>2.17345</td>\n",
       "      <td>2.154286</td>\n",
       "      <td>2.136697</td>\n",
       "      <td>2.120429</td>\n",
       "      <td>2.109426</td>\n",
       "      <td>2.078957</td>\n",
       "      <td>2.06996</td>\n",
       "      <td>2.037822</td>\n",
       "      <td>2.004482</td>\n",
       "      <td>...</td>\n",
       "      <td>1.705413</td>\n",
       "      <td>1.675437</td>\n",
       "      <td>1.661446</td>\n",
       "      <td>1.629311</td>\n",
       "      <td>1.620274</td>\n",
       "      <td>1.611513</td>\n",
       "      <td>1.595693</td>\n",
       "      <td>1.605117</td>\n",
       "      <td>1.613935</td>\n",
       "      <td>1.588214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A.  Forest land</th>\n",
       "      <td>0.669528</td>\n",
       "      <td>0.671855</td>\n",
       "      <td>0.667152</td>\n",
       "      <td>0.666762</td>\n",
       "      <td>0.671391</td>\n",
       "      <td>0.683024</td>\n",
       "      <td>0.682737</td>\n",
       "      <td>0.692018</td>\n",
       "      <td>0.693335</td>\n",
       "      <td>0.69492</td>\n",
       "      <td>...</td>\n",
       "      <td>0.677286</td>\n",
       "      <td>0.677192</td>\n",
       "      <td>0.67883</td>\n",
       "      <td>0.661313</td>\n",
       "      <td>0.653874</td>\n",
       "      <td>0.649224</td>\n",
       "      <td>0.643251</td>\n",
       "      <td>0.649478</td>\n",
       "      <td>0.648065</td>\n",
       "      <td>0.633378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B.  Cropland</th>\n",
       "      <td>0.65325</td>\n",
       "      <td>0.650658</td>\n",
       "      <td>0.648123</td>\n",
       "      <td>0.643067</td>\n",
       "      <td>0.633249</td>\n",
       "      <td>0.622669</td>\n",
       "      <td>0.608884</td>\n",
       "      <td>0.596621</td>\n",
       "      <td>0.579565</td>\n",
       "      <td>0.560463</td>\n",
       "      <td>...</td>\n",
       "      <td>0.388842</td>\n",
       "      <td>0.384131</td>\n",
       "      <td>0.37505</td>\n",
       "      <td>0.369273</td>\n",
       "      <td>0.364867</td>\n",
       "      <td>0.363045</td>\n",
       "      <td>0.359198</td>\n",
       "      <td>0.353321</td>\n",
       "      <td>0.35254</td>\n",
       "      <td>0.354348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C.  Grassland</th>\n",
       "      <td>0.022957</td>\n",
       "      <td>0.022326</td>\n",
       "      <td>0.021701</td>\n",
       "      <td>0.02146</td>\n",
       "      <td>0.020948</td>\n",
       "      <td>0.020673</td>\n",
       "      <td>0.020466</td>\n",
       "      <td>0.020321</td>\n",
       "      <td>0.019362</td>\n",
       "      <td>0.018938</td>\n",
       "      <td>...</td>\n",
       "      <td>0.044039</td>\n",
       "      <td>0.026652</td>\n",
       "      <td>0.029794</td>\n",
       "      <td>0.030153</td>\n",
       "      <td>0.026944</td>\n",
       "      <td>0.029938</td>\n",
       "      <td>0.029502</td>\n",
       "      <td>0.030134</td>\n",
       "      <td>0.034362</td>\n",
       "      <td>0.030132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D.  Wetlands</th>\n",
       "      <td>0.018935</td>\n",
       "      <td>0.018881</td>\n",
       "      <td>0.018827</td>\n",
       "      <td>0.018773</td>\n",
       "      <td>0.01872</td>\n",
       "      <td>0.018666</td>\n",
       "      <td>0.018612</td>\n",
       "      <td>0.018558</td>\n",
       "      <td>0.018504</td>\n",
       "      <td>0.01845</td>\n",
       "      <td>...</td>\n",
       "      <td>0.020046</td>\n",
       "      <td>0.020074</td>\n",
       "      <td>0.019283</td>\n",
       "      <td>0.019044</td>\n",
       "      <td>0.030554</td>\n",
       "      <td>0.020517</td>\n",
       "      <td>0.020173</td>\n",
       "      <td>0.026392</td>\n",
       "      <td>0.032873</td>\n",
       "      <td>0.022062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>E.  Settlements</th>\n",
       "      <td>0.391871</td>\n",
       "      <td>0.384718</td>\n",
       "      <td>0.378118</td>\n",
       "      <td>0.371049</td>\n",
       "      <td>0.364927</td>\n",
       "      <td>0.358339</td>\n",
       "      <td>0.348256</td>\n",
       "      <td>0.345561</td>\n",
       "      <td>0.336692</td>\n",
       "      <td>0.328004</td>\n",
       "      <td>...</td>\n",
       "      <td>0.263894</td>\n",
       "      <td>0.259411</td>\n",
       "      <td>0.254479</td>\n",
       "      <td>0.249142</td>\n",
       "      <td>0.247307</td>\n",
       "      <td>0.254255</td>\n",
       "      <td>0.251714</td>\n",
       "      <td>0.25613</td>\n",
       "      <td>0.257888</td>\n",
       "      <td>0.260936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H.  Other</th>\n",
       "      <td>0.157439</td>\n",
       "      <td>0.156986</td>\n",
       "      <td>0.156571</td>\n",
       "      <td>0.156236</td>\n",
       "      <td>0.155823</td>\n",
       "      <td>0.155475</td>\n",
       "      <td>0.155168</td>\n",
       "      <td>0.154862</td>\n",
       "      <td>0.154566</td>\n",
       "      <td>0.154302</td>\n",
       "      <td>...</td>\n",
       "      <td>0.142477</td>\n",
       "      <td>0.141382</td>\n",
       "      <td>0.140905</td>\n",
       "      <td>0.140467</td>\n",
       "      <td>0.139524</td>\n",
       "      <td>0.138553</td>\n",
       "      <td>0.137791</td>\n",
       "      <td>0.136933</td>\n",
       "      <td>0.135861</td>\n",
       "      <td>0.134607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.  Waste</th>\n",
       "      <td>0.851132</td>\n",
       "      <td>0.858536</td>\n",
       "      <td>0.900747</td>\n",
       "      <td>0.913328</td>\n",
       "      <td>0.921494</td>\n",
       "      <td>0.941139</td>\n",
       "      <td>0.976627</td>\n",
       "      <td>0.993636</td>\n",
       "      <td>1.022028</td>\n",
       "      <td>1.025727</td>\n",
       "      <td>...</td>\n",
       "      <td>1.380113</td>\n",
       "      <td>1.386519</td>\n",
       "      <td>1.413426</td>\n",
       "      <td>1.472933</td>\n",
       "      <td>1.48558</td>\n",
       "      <td>1.507267</td>\n",
       "      <td>1.554542</td>\n",
       "      <td>1.527388</td>\n",
       "      <td>1.555428</td>\n",
       "      <td>1.563454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B.  Biological treatment of solid waste</th>\n",
       "      <td>0.011532</td>\n",
       "      <td>0.026126</td>\n",
       "      <td>0.040718</td>\n",
       "      <td>0.055316</td>\n",
       "      <td>0.069919</td>\n",
       "      <td>0.084514</td>\n",
       "      <td>0.099111</td>\n",
       "      <td>0.11371</td>\n",
       "      <td>0.128323</td>\n",
       "      <td>0.142929</td>\n",
       "      <td>...</td>\n",
       "      <td>0.467874</td>\n",
       "      <td>0.485488</td>\n",
       "      <td>0.519343</td>\n",
       "      <td>0.579228</td>\n",
       "      <td>0.582336</td>\n",
       "      <td>0.618844</td>\n",
       "      <td>0.643698</td>\n",
       "      <td>0.631939</td>\n",
       "      <td>0.636139</td>\n",
       "      <td>0.635829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C.  Incineration and open burning of waste</th>\n",
       "      <td>0.045286</td>\n",
       "      <td>0.043635</td>\n",
       "      <td>0.043484</td>\n",
       "      <td>0.044669</td>\n",
       "      <td>0.03773</td>\n",
       "      <td>0.039496</td>\n",
       "      <td>0.041359</td>\n",
       "      <td>0.031091</td>\n",
       "      <td>0.058412</td>\n",
       "      <td>0.059604</td>\n",
       "      <td>...</td>\n",
       "      <td>0.063711</td>\n",
       "      <td>0.059811</td>\n",
       "      <td>0.058048</td>\n",
       "      <td>0.05134</td>\n",
       "      <td>0.049475</td>\n",
       "      <td>0.044095</td>\n",
       "      <td>0.040088</td>\n",
       "      <td>0.033692</td>\n",
       "      <td>0.02775</td>\n",
       "      <td>0.023452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D.  Waste water treatment and discharge</th>\n",
       "      <td>0.794314</td>\n",
       "      <td>0.788774</td>\n",
       "      <td>0.816544</td>\n",
       "      <td>0.813343</td>\n",
       "      <td>0.813845</td>\n",
       "      <td>0.817129</td>\n",
       "      <td>0.836157</td>\n",
       "      <td>0.848835</td>\n",
       "      <td>0.835293</td>\n",
       "      <td>0.823195</td>\n",
       "      <td>...</td>\n",
       "      <td>0.848529</td>\n",
       "      <td>0.841221</td>\n",
       "      <td>0.836036</td>\n",
       "      <td>0.842365</td>\n",
       "      <td>0.853769</td>\n",
       "      <td>0.844329</td>\n",
       "      <td>0.870756</td>\n",
       "      <td>0.861757</td>\n",
       "      <td>0.89154</td>\n",
       "      <td>0.904172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total direct N2O emissions without N2O from LULUCF</th>\n",
       "      <td>42.052203</td>\n",
       "      <td>42.258709</td>\n",
       "      <td>37.86971</td>\n",
       "      <td>34.099343</td>\n",
       "      <td>34.672994</td>\n",
       "      <td>33.481111</td>\n",
       "      <td>33.552945</td>\n",
       "      <td>33.872193</td>\n",
       "      <td>33.896486</td>\n",
       "      <td>25.432305</td>\n",
       "      <td>...</td>\n",
       "      <td>18.043534</td>\n",
       "      <td>17.823399</td>\n",
       "      <td>17.913939</td>\n",
       "      <td>18.400764</td>\n",
       "      <td>18.09744</td>\n",
       "      <td>17.828357</td>\n",
       "      <td>18.25976</td>\n",
       "      <td>18.118024</td>\n",
       "      <td>18.112299</td>\n",
       "      <td>17.161232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total direct N2O emissions with N2O from LULUCF</th>\n",
       "      <td>44.237843</td>\n",
       "      <td>44.432159</td>\n",
       "      <td>40.023996</td>\n",
       "      <td>36.236039</td>\n",
       "      <td>36.793423</td>\n",
       "      <td>35.590538</td>\n",
       "      <td>35.631902</td>\n",
       "      <td>35.942153</td>\n",
       "      <td>35.934308</td>\n",
       "      <td>27.436787</td>\n",
       "      <td>...</td>\n",
       "      <td>19.748947</td>\n",
       "      <td>19.498836</td>\n",
       "      <td>19.575385</td>\n",
       "      <td>20.030075</td>\n",
       "      <td>19.717714</td>\n",
       "      <td>19.43987</td>\n",
       "      <td>19.855453</td>\n",
       "      <td>19.723141</td>\n",
       "      <td>19.726234</td>\n",
       "      <td>18.749446</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>31 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                         1990       1991  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                  \n",
       "1. Energy                                            3.285956   3.264935   \n",
       "A. Fuel combustion (sectoral approach)               3.246137    3.22632   \n",
       "1.  Energy industries                                 1.27773   1.264945   \n",
       "2.  Manufacturing industries and construction        0.280459   0.278801   \n",
       "3.  Transport                                        1.282627   1.262918   \n",
       "4.  Other sectors                                    0.355414   0.377863   \n",
       "5.  Other                                            0.049908   0.041793   \n",
       "B. Fugitive emissions from fuels                     0.039819   0.038615   \n",
       "1.  Solid fuels                                       0.00008   0.000033   \n",
       "2.  Oil and natural gas and other emissions fro...   0.039738   0.038583   \n",
       "2.  Industrial processes                            21.710464  21.860542   \n",
       "B.  Chemical industry                                 21.1621  21.311801   \n",
       "C.  Metal industry                                   0.018432   0.016916   \n",
       "G.  Other product manufacture and use                0.529931   0.531825   \n",
       "3.  Agriculture                                     16.204651  16.274696   \n",
       "B.  Manure management                                3.053539   3.035164   \n",
       "D.  Agricultural soils                              12.940808  13.035955   \n",
       "J.  Other                                            0.159032   0.158482   \n",
       "4. Land use, land-use change and forestry             2.18564    2.17345   \n",
       "A.  Forest land                                      0.669528   0.671855   \n",
       "B.  Cropland                                          0.65325   0.650658   \n",
       "C.  Grassland                                        0.022957   0.022326   \n",
       "D.  Wetlands                                         0.018935   0.018881   \n",
       "E.  Settlements                                      0.391871   0.384718   \n",
       "H.  Other                                            0.157439   0.156986   \n",
       "5.  Waste                                            0.851132   0.858536   \n",
       "B.  Biological treatment of solid waste              0.011532   0.026126   \n",
       "C.  Incineration and open burning of waste           0.045286   0.043635   \n",
       "D.  Waste water treatment and discharge              0.794314   0.788774   \n",
       "Total direct N2O emissions without N2O from LULUCF  42.052203  42.258709   \n",
       "Total direct N2O emissions with N2O from LULUCF     44.237843  44.432159   \n",
       "\n",
       "                                                         1992       1993  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                  \n",
       "1. Energy                                            3.213452   3.181361   \n",
       "A. Fuel combustion (sectoral approach)               3.174377   3.140323   \n",
       "1.  Energy industries                                1.223495   1.105359   \n",
       "2.  Manufacturing industries and construction        0.276218    0.26722   \n",
       "3.  Transport                                        1.285411   1.359839   \n",
       "4.  Other sectors                                    0.349621   0.368397   \n",
       "5.  Other                                            0.039633   0.039507   \n",
       "B. Fugitive emissions from fuels                     0.039075   0.041039   \n",
       "1.  Solid fuels                                      0.000023    0.00004   \n",
       "2.  Oil and natural gas and other emissions fro...   0.039051   0.040999   \n",
       "2.  Industrial processes                            17.986555  14.619497   \n",
       "B.  Chemical industry                               17.438376  14.072075   \n",
       "C.  Metal industry                                   0.017482   0.017726   \n",
       "G.  Other product manufacture and use                0.530698   0.529695   \n",
       "3.  Agriculture                                     15.768956  15.385156   \n",
       "B.  Manure management                                3.045143   3.064648   \n",
       "D.  Agricultural soils                              12.536997  12.166429   \n",
       "J.  Other                                            0.153831   0.152977   \n",
       "4. Land use, land-use change and forestry            2.154286   2.136697   \n",
       "A.  Forest land                                      0.667152   0.666762   \n",
       "B.  Cropland                                         0.648123   0.643067   \n",
       "C.  Grassland                                        0.021701    0.02146   \n",
       "D.  Wetlands                                         0.018827   0.018773   \n",
       "E.  Settlements                                      0.378118   0.371049   \n",
       "H.  Other                                            0.156571   0.156236   \n",
       "5.  Waste                                            0.900747   0.913328   \n",
       "B.  Biological treatment of solid waste              0.040718   0.055316   \n",
       "C.  Incineration and open burning of waste           0.043484   0.044669   \n",
       "D.  Waste water treatment and discharge              0.816544   0.813343   \n",
       "Total direct N2O emissions without N2O from LULUCF   37.86971  34.099343   \n",
       "Total direct N2O emissions with N2O from LULUCF     40.023996  36.236039   \n",
       "\n",
       "                                                         1994       1995  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                  \n",
       "1. Energy                                            3.251002   3.339232   \n",
       "A. Fuel combustion (sectoral approach)               3.199995   3.285275   \n",
       "1.  Energy industries                                1.074818     1.0574   \n",
       "2.  Manufacturing industries and construction        0.277231   0.267541   \n",
       "3.  Transport                                        1.479657   1.642836   \n",
       "4.  Other sectors                                     0.33065   0.280404   \n",
       "5.  Other                                            0.037639   0.037094   \n",
       "B. Fugitive emissions from fuels                     0.051007   0.053957   \n",
       "1.  Solid fuels                                      0.000023   0.000026   \n",
       "2.  Oil and natural gas and other emissions fro...   0.050984   0.053931   \n",
       "2.  Industrial processes                            14.601834  13.257955   \n",
       "B.  Chemical industry                               14.053472  12.710206   \n",
       "C.  Metal industry                                   0.018203    0.01863   \n",
       "G.  Other product manufacture and use                0.530159   0.529119   \n",
       "3.  Agriculture                                     15.898663  15.942785   \n",
       "B.  Manure management                                 3.09343   3.097299   \n",
       "D.  Agricultural soils                              12.647957  12.688672   \n",
       "J.  Other                                            0.157276   0.156813   \n",
       "4. Land use, land-use change and forestry            2.120429   2.109426   \n",
       "A.  Forest land                                      0.671391   0.683024   \n",
       "B.  Cropland                                         0.633249   0.622669   \n",
       "C.  Grassland                                        0.020948   0.020673   \n",
       "D.  Wetlands                                          0.01872   0.018666   \n",
       "E.  Settlements                                      0.364927   0.358339   \n",
       "H.  Other                                            0.155823   0.155475   \n",
       "5.  Waste                                            0.921494   0.941139   \n",
       "B.  Biological treatment of solid waste              0.069919   0.084514   \n",
       "C.  Incineration and open burning of waste            0.03773   0.039496   \n",
       "D.  Waste water treatment and discharge              0.813845   0.817129   \n",
       "Total direct N2O emissions without N2O from LULUCF  34.672994  33.481111   \n",
       "Total direct N2O emissions with N2O from LULUCF     36.793423  35.590538   \n",
       "\n",
       "                                                         1996       1997  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                  \n",
       "1. Energy                                            3.208507   3.107244   \n",
       "A. Fuel combustion (sectoral approach)               3.153251   3.058091   \n",
       "1.  Energy industries                                 1.01698   0.954882   \n",
       "2.  Manufacturing industries and construction         0.25793   0.244279   \n",
       "3.  Transport                                        1.549639   1.552822   \n",
       "4.  Other sectors                                    0.292241   0.270832   \n",
       "5.  Other                                            0.036461   0.035277   \n",
       "B. Fugitive emissions from fuels                     0.055257   0.049153   \n",
       "1.  Solid fuels                                      0.000025   0.000017   \n",
       "2.  Oil and natural gas and other emissions fro...   0.055231   0.049136   \n",
       "2.  Industrial processes                            13.166306  13.325989   \n",
       "B.  Chemical industry                               12.630808  12.791201   \n",
       "C.  Metal industry                                   0.018269   0.018885   \n",
       "G.  Other product manufacture and use                0.517228   0.515903   \n",
       "3.  Agriculture                                     16.201504  16.445324   \n",
       "B.  Manure management                                3.220315   3.264805   \n",
       "D.  Agricultural soils                              12.830133  13.027195   \n",
       "J.  Other                                            0.151056   0.153324   \n",
       "4. Land use, land-use change and forestry            2.078957    2.06996   \n",
       "A.  Forest land                                      0.682737   0.692018   \n",
       "B.  Cropland                                         0.608884   0.596621   \n",
       "C.  Grassland                                        0.020466   0.020321   \n",
       "D.  Wetlands                                         0.018612   0.018558   \n",
       "E.  Settlements                                      0.348256   0.345561   \n",
       "H.  Other                                            0.155168   0.154862   \n",
       "5.  Waste                                            0.976627   0.993636   \n",
       "B.  Biological treatment of solid waste              0.099111    0.11371   \n",
       "C.  Incineration and open burning of waste           0.041359   0.031091   \n",
       "D.  Waste water treatment and discharge              0.836157   0.848835   \n",
       "Total direct N2O emissions without N2O from LULUCF  33.552945  33.872193   \n",
       "Total direct N2O emissions with N2O from LULUCF     35.631902  35.942153   \n",
       "\n",
       "                                                         1998       1999  ...  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                 ...   \n",
       "1. Energy                                            3.128601   3.058019  ...   \n",
       "A. Fuel combustion (sectoral approach)               3.078366    3.01708  ...   \n",
       "1.  Energy industries                                1.003794   0.941172  ...   \n",
       "2.  Manufacturing industries and construction        0.241303    0.23274  ...   \n",
       "3.  Transport                                        1.540839   1.552278  ...   \n",
       "4.  Other sectors                                    0.262208   0.260693  ...   \n",
       "5.  Other                                            0.030223   0.030197  ...   \n",
       "B. Fugitive emissions from fuels                     0.050235    0.04094  ...   \n",
       "1.  Solid fuels                                      0.000029   0.000015  ...   \n",
       "2.  Oil and natural gas and other emissions fro...   0.050207   0.040925  ...   \n",
       "2.  Industrial processes                            13.569144   5.125104  ...   \n",
       "B.  Chemical industry                               13.030556    4.58156  ...   \n",
       "C.  Metal industry                                   0.017514   0.017961  ...   \n",
       "G.  Other product manufacture and use                0.521074   0.525583  ...   \n",
       "3.  Agriculture                                     16.176713  16.223455  ...   \n",
       "B.  Manure management                                3.226704   3.134607  ...   \n",
       "D.  Agricultural soils                              12.796137  12.932957  ...   \n",
       "J.  Other                                            0.153872   0.155891  ...   \n",
       "4. Land use, land-use change and forestry            2.037822   2.004482  ...   \n",
       "A.  Forest land                                      0.693335    0.69492  ...   \n",
       "B.  Cropland                                         0.579565   0.560463  ...   \n",
       "C.  Grassland                                        0.019362   0.018938  ...   \n",
       "D.  Wetlands                                         0.018504    0.01845  ...   \n",
       "E.  Settlements                                      0.336692   0.328004  ...   \n",
       "H.  Other                                            0.154566   0.154302  ...   \n",
       "5.  Waste                                            1.022028   1.025727  ...   \n",
       "B.  Biological treatment of solid waste              0.128323   0.142929  ...   \n",
       "C.  Incineration and open burning of waste           0.058412   0.059604  ...   \n",
       "D.  Waste water treatment and discharge              0.835293   0.823195  ...   \n",
       "Total direct N2O emissions without N2O from LULUCF  33.896486  25.432305  ...   \n",
       "Total direct N2O emissions with N2O from LULUCF     35.934308  27.436787  ...   \n",
       "\n",
       "                                                         2011       2012  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                  \n",
       "1. Energy                                            2.150863   2.309117   \n",
       "A. Fuel combustion (sectoral approach)               2.107613   2.276149   \n",
       "1.  Energy industries                                0.874099   1.016464   \n",
       "2.  Manufacturing industries and construction        0.180455   0.183006   \n",
       "3.  Transport                                        0.871175   0.889941   \n",
       "4.  Other sectors                                    0.155613   0.162673   \n",
       "5.  Other                                            0.026271   0.024065   \n",
       "B. Fugitive emissions from fuels                      0.04325   0.032969   \n",
       "1.  Solid fuels                                      0.000065   0.000016   \n",
       "2.  Oil and natural gas and other emissions fro...   0.043185   0.032952   \n",
       "2.  Industrial processes                             1.043901   0.824494   \n",
       "B.  Chemical industry                                0.178576   0.034512   \n",
       "C.  Metal industry                                   0.009378   0.009791   \n",
       "G.  Other product manufacture and use                0.855947   0.780191   \n",
       "3.  Agriculture                                     13.468656  13.303269   \n",
       "B.  Manure management                                2.628067   2.594653   \n",
       "D.  Agricultural soils                               10.73068  10.600574   \n",
       "J.  Other                                            0.109909   0.108042   \n",
       "4. Land use, land-use change and forestry            1.705413   1.675437   \n",
       "A.  Forest land                                      0.677286   0.677192   \n",
       "B.  Cropland                                         0.388842   0.384131   \n",
       "C.  Grassland                                        0.044039   0.026652   \n",
       "D.  Wetlands                                         0.020046   0.020074   \n",
       "E.  Settlements                                      0.263894   0.259411   \n",
       "H.  Other                                            0.142477   0.141382   \n",
       "5.  Waste                                            1.380113   1.386519   \n",
       "B.  Biological treatment of solid waste              0.467874   0.485488   \n",
       "C.  Incineration and open burning of waste           0.063711   0.059811   \n",
       "D.  Waste water treatment and discharge              0.848529   0.841221   \n",
       "Total direct N2O emissions without N2O from LULUCF  18.043534  17.823399   \n",
       "Total direct N2O emissions with N2O from LULUCF     19.748947  19.498836   \n",
       "\n",
       "                                                         2013       2014  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                  \n",
       "1. Energy                                            2.286534   2.222302   \n",
       "A. Fuel combustion (sectoral approach)               2.255225   2.191072   \n",
       "1.  Energy industries                                0.984988   0.881654   \n",
       "2.  Manufacturing industries and construction        0.167014   0.185669   \n",
       "3.  Transport                                        0.914265    0.94909   \n",
       "4.  Other sectors                                    0.167131   0.155482   \n",
       "5.  Other                                            0.021828   0.019177   \n",
       "B. Fugitive emissions from fuels                     0.031308    0.03123   \n",
       "1.  Solid fuels                                      0.000033   0.000059   \n",
       "2.  Oil and natural gas and other emissions fro...   0.031275   0.031172   \n",
       "2.  Industrial processes                             0.777342   0.796475   \n",
       "B.  Chemical industry                                0.039876   0.037347   \n",
       "C.  Metal industry                                    0.01173   0.011791   \n",
       "G.  Other product manufacture and use                0.725735   0.747337   \n",
       "3.  Agriculture                                     13.436637  13.909054   \n",
       "B.  Manure management                                 2.58535   2.598034   \n",
       "D.  Agricultural soils                              10.742243  11.201433   \n",
       "J.  Other                                            0.109044   0.109587   \n",
       "4. Land use, land-use change and forestry            1.661446   1.629311   \n",
       "A.  Forest land                                       0.67883   0.661313   \n",
       "B.  Cropland                                          0.37505   0.369273   \n",
       "C.  Grassland                                        0.029794   0.030153   \n",
       "D.  Wetlands                                         0.019283   0.019044   \n",
       "E.  Settlements                                      0.254479   0.249142   \n",
       "H.  Other                                            0.140905   0.140467   \n",
       "5.  Waste                                            1.413426   1.472933   \n",
       "B.  Biological treatment of solid waste              0.519343   0.579228   \n",
       "C.  Incineration and open burning of waste           0.058048    0.05134   \n",
       "D.  Waste water treatment and discharge              0.836036   0.842365   \n",
       "Total direct N2O emissions without N2O from LULUCF  17.913939  18.400764   \n",
       "Total direct N2O emissions with N2O from LULUCF     19.575385  20.030075   \n",
       "\n",
       "                                                         2015       2016  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                  \n",
       "1. Energy                                            2.242441   2.109777   \n",
       "A. Fuel combustion (sectoral approach)               2.210777   2.077081   \n",
       "1.  Energy industries                                0.850826   0.676562   \n",
       "2.  Manufacturing industries and construction        0.198402   0.199893   \n",
       "3.  Transport                                        0.984138   1.020617   \n",
       "4.  Other sectors                                    0.161833    0.16545   \n",
       "5.  Other                                            0.015578    0.01456   \n",
       "B. Fugitive emissions from fuels                     0.031663   0.032696   \n",
       "1.  Solid fuels                                      0.000066   0.000017   \n",
       "2.  Oil and natural gas and other emissions fro...   0.031597   0.032678   \n",
       "2.  Industrial processes                             0.763157   0.772252   \n",
       "B.  Chemical industry                                0.027558   0.023636   \n",
       "C.  Metal industry                                   0.010359   0.006754   \n",
       "G.  Other product manufacture and use                 0.72524   0.741862   \n",
       "3.  Agriculture                                     13.606263   13.43906   \n",
       "B.  Manure management                                2.592119   2.585171   \n",
       "D.  Agricultural soils                              10.907639  10.747497   \n",
       "J.  Other                                            0.106505   0.106392   \n",
       "4. Land use, land-use change and forestry            1.620274   1.611513   \n",
       "A.  Forest land                                      0.653874   0.649224   \n",
       "B.  Cropland                                         0.364867   0.363045   \n",
       "C.  Grassland                                        0.026944   0.029938   \n",
       "D.  Wetlands                                         0.030554   0.020517   \n",
       "E.  Settlements                                      0.247307   0.254255   \n",
       "H.  Other                                            0.139524   0.138553   \n",
       "5.  Waste                                             1.48558   1.507267   \n",
       "B.  Biological treatment of solid waste              0.582336   0.618844   \n",
       "C.  Incineration and open burning of waste           0.049475   0.044095   \n",
       "D.  Waste water treatment and discharge              0.853769   0.844329   \n",
       "Total direct N2O emissions without N2O from LULUCF   18.09744  17.828357   \n",
       "Total direct N2O emissions with N2O from LULUCF     19.717714   19.43987   \n",
       "\n",
       "                                                         2017       2018  \\\n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                  \n",
       "1. Energy                                            2.100562   2.131208   \n",
       "A. Fuel combustion (sectoral approach)               2.067539   2.097989   \n",
       "1.  Energy industries                                0.633491    0.64059   \n",
       "2.  Manufacturing industries and construction        0.218895   0.233418   \n",
       "3.  Transport                                        1.034983   1.038684   \n",
       "4.  Other sectors                                    0.165194   0.169944   \n",
       "5.  Other                                            0.014975   0.015353   \n",
       "B. Fugitive emissions from fuels                     0.033023   0.033219   \n",
       "1.  Solid fuels                                      0.000016    0.00001   \n",
       "2.  Oil and natural gas and other emissions fro...   0.033008   0.033209   \n",
       "2.  Industrial processes                             0.798955   0.780851   \n",
       "B.  Chemical industry                                 0.03485   0.023573   \n",
       "C.  Metal industry                                   0.006571   0.006434   \n",
       "G.  Other product manufacture and use                0.757534   0.750844   \n",
       "3.  Agriculture                                       13.8057  13.678577   \n",
       "B.  Manure management                                2.571979   2.537865   \n",
       "D.  Agricultural soils                              11.126467  11.037445   \n",
       "J.  Other                                            0.107254   0.103266   \n",
       "4. Land use, land-use change and forestry            1.595693   1.605117   \n",
       "A.  Forest land                                      0.643251   0.649478   \n",
       "B.  Cropland                                         0.359198   0.353321   \n",
       "C.  Grassland                                        0.029502   0.030134   \n",
       "D.  Wetlands                                         0.020173   0.026392   \n",
       "E.  Settlements                                      0.251714    0.25613   \n",
       "H.  Other                                            0.137791   0.136933   \n",
       "5.  Waste                                            1.554542   1.527388   \n",
       "B.  Biological treatment of solid waste              0.643698   0.631939   \n",
       "C.  Incineration and open burning of waste           0.040088   0.033692   \n",
       "D.  Waste water treatment and discharge              0.870756   0.861757   \n",
       "Total direct N2O emissions without N2O from LULUCF   18.25976  18.118024   \n",
       "Total direct N2O emissions with N2O from LULUCF     19.855453  19.723141   \n",
       "\n",
       "                                                         2019       2020  \n",
       "GREENHOUSE GAS SOURCE AND SINK CATEGORIES                                 \n",
       "1. Energy                                             2.09926   1.915408  \n",
       "A. Fuel combustion (sectoral approach)               2.066384    1.88792  \n",
       "1.  Energy industries                                0.635226   0.623444  \n",
       "2.  Manufacturing industries and construction        0.221835   0.222871  \n",
       "3.  Transport                                        1.026816   0.863881  \n",
       "4.  Other sectors                                    0.166119   0.164571  \n",
       "5.  Other                                            0.016388   0.013153  \n",
       "B. Fugitive emissions from fuels                     0.032875   0.027488  \n",
       "1.  Solid fuels                                      0.000014   0.000015  \n",
       "2.  Oil and natural gas and other emissions fro...   0.032861   0.027474  \n",
       "2.  Industrial processes                             0.805246   0.721061  \n",
       "B.  Chemical industry                                0.035425   0.045426  \n",
       "C.  Metal industry                                   0.006425   0.006333  \n",
       "G.  Other product manufacture and use                0.763396   0.669302  \n",
       "3.  Agriculture                                     13.652365  12.961309  \n",
       "B.  Manure management                                2.534011   2.501978  \n",
       "D.  Agricultural soils                               11.01363  10.358491  \n",
       "J.  Other                                            0.104724   0.100841  \n",
       "4. Land use, land-use change and forestry            1.613935   1.588214  \n",
       "A.  Forest land                                      0.648065   0.633378  \n",
       "B.  Cropland                                          0.35254   0.354348  \n",
       "C.  Grassland                                        0.034362   0.030132  \n",
       "D.  Wetlands                                         0.032873   0.022062  \n",
       "E.  Settlements                                      0.257888   0.260936  \n",
       "H.  Other                                            0.135861   0.134607  \n",
       "5.  Waste                                            1.555428   1.563454  \n",
       "B.  Biological treatment of solid waste              0.636139   0.635829  \n",
       "C.  Incineration and open burning of waste            0.02775   0.023452  \n",
       "D.  Waste water treatment and discharge               0.89154   0.904172  \n",
       "Total direct N2O emissions without N2O from LULUCF  18.112299  17.161232  \n",
       "Total direct N2O emissions with N2O from LULUCF     19.726234  18.749446  \n",
       "\n",
       "[31 rows x 31 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfN2O_CO2_equ = dfN2O / 1000 * 265\n",
    "dfN2O_CO2_equ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e9060b2f-14d9-4495-8e85-fb1cbc7a79e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Invent</th>\n",
       "      <th>Invent_std</th>\n",
       "      <th>InTEM</th>\n",
       "      <th>InTEM_std</th>\n",
       "      <th>InTEM_Energy</th>\n",
       "      <th>InTEM_Energy_std</th>\n",
       "      <th>InTEM_Industry</th>\n",
       "      <th>InTEM_Industry_std</th>\n",
       "      <th>InTEM_Agriculture</th>\n",
       "      <th>InTEM_Agriculture_std</th>\n",
       "      <th>InTEM_LULUCF</th>\n",
       "      <th>InTEM_LULUCF_std</th>\n",
       "      <th>InTEM_Waste</th>\n",
       "      <th>InTEM_Waste_std</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1990-01-01</th>\n",
       "      <td>43.990</td>\n",
       "      <td>6.519</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1991-01-01</th>\n",
       "      <td>44.255</td>\n",
       "      <td>6.439</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992-01-01</th>\n",
       "      <td>39.750</td>\n",
       "      <td>5.697</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993-01-01</th>\n",
       "      <td>36.040</td>\n",
       "      <td>5.061</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994-01-01</th>\n",
       "      <td>36.570</td>\n",
       "      <td>5.061</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-01-01</th>\n",
       "      <td>35.510</td>\n",
       "      <td>4.823</td>\n",
       "      <td>23.532</td>\n",
       "      <td>5.099</td>\n",
       "      <td>2.376234</td>\n",
       "      <td>0.514891</td>\n",
       "      <td>5.528093</td>\n",
       "      <td>1.197847</td>\n",
       "      <td>12.924737</td>\n",
       "      <td>2.800579</td>\n",
       "      <td>1.647616</td>\n",
       "      <td>0.357011</td>\n",
       "      <td>1.055320</td>\n",
       "      <td>0.228671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-01-01</th>\n",
       "      <td>35.510</td>\n",
       "      <td>4.717</td>\n",
       "      <td>33.655</td>\n",
       "      <td>5.141</td>\n",
       "      <td>3.398442</td>\n",
       "      <td>0.519132</td>\n",
       "      <td>7.906169</td>\n",
       "      <td>1.207714</td>\n",
       "      <td>18.484703</td>\n",
       "      <td>2.823648</td>\n",
       "      <td>2.356388</td>\n",
       "      <td>0.359952</td>\n",
       "      <td>1.509298</td>\n",
       "      <td>0.230554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997-01-01</th>\n",
       "      <td>35.775</td>\n",
       "      <td>4.664</td>\n",
       "      <td>28.090</td>\n",
       "      <td>5.803</td>\n",
       "      <td>2.836495</td>\n",
       "      <td>0.585980</td>\n",
       "      <td>6.598849</td>\n",
       "      <td>1.363230</td>\n",
       "      <td>15.428177</td>\n",
       "      <td>3.187245</td>\n",
       "      <td>1.966749</td>\n",
       "      <td>0.406303</td>\n",
       "      <td>1.259729</td>\n",
       "      <td>0.260242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-01-01</th>\n",
       "      <td>35.775</td>\n",
       "      <td>4.558</td>\n",
       "      <td>33.390</td>\n",
       "      <td>5.618</td>\n",
       "      <td>3.371683</td>\n",
       "      <td>0.567299</td>\n",
       "      <td>7.843915</td>\n",
       "      <td>1.319770</td>\n",
       "      <td>18.339154</td>\n",
       "      <td>3.085635</td>\n",
       "      <td>2.337834</td>\n",
       "      <td>0.393350</td>\n",
       "      <td>1.497414</td>\n",
       "      <td>0.251946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-01-01</th>\n",
       "      <td>27.030</td>\n",
       "      <td>3.392</td>\n",
       "      <td>27.560</td>\n",
       "      <td>5.856</td>\n",
       "      <td>2.782976</td>\n",
       "      <td>0.591332</td>\n",
       "      <td>6.474343</td>\n",
       "      <td>1.375680</td>\n",
       "      <td>15.137080</td>\n",
       "      <td>3.216355</td>\n",
       "      <td>1.929640</td>\n",
       "      <td>0.410014</td>\n",
       "      <td>1.235961</td>\n",
       "      <td>0.262619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>26.500</td>\n",
       "      <td>3.260</td>\n",
       "      <td>21.200</td>\n",
       "      <td>4.614</td>\n",
       "      <td>2.140751</td>\n",
       "      <td>0.465916</td>\n",
       "      <td>4.980264</td>\n",
       "      <td>1.083912</td>\n",
       "      <td>11.643907</td>\n",
       "      <td>2.534198</td>\n",
       "      <td>1.484339</td>\n",
       "      <td>0.323054</td>\n",
       "      <td>0.950739</td>\n",
       "      <td>0.206920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001-01-01</th>\n",
       "      <td>25.122</td>\n",
       "      <td>3.021</td>\n",
       "      <td>24.672</td>\n",
       "      <td>5.340</td>\n",
       "      <td>2.491350</td>\n",
       "      <td>0.539227</td>\n",
       "      <td>5.795899</td>\n",
       "      <td>1.254463</td>\n",
       "      <td>13.550872</td>\n",
       "      <td>2.932946</td>\n",
       "      <td>1.727434</td>\n",
       "      <td>0.373885</td>\n",
       "      <td>1.106445</td>\n",
       "      <td>0.239479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002-01-01</th>\n",
       "      <td>23.665</td>\n",
       "      <td>2.785</td>\n",
       "      <td>22.976</td>\n",
       "      <td>5.401</td>\n",
       "      <td>2.320089</td>\n",
       "      <td>0.545387</td>\n",
       "      <td>5.397478</td>\n",
       "      <td>1.268793</td>\n",
       "      <td>12.619359</td>\n",
       "      <td>2.966450</td>\n",
       "      <td>1.608687</td>\n",
       "      <td>0.378156</td>\n",
       "      <td>1.030386</td>\n",
       "      <td>0.242214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-01-01</th>\n",
       "      <td>23.267</td>\n",
       "      <td>2.682</td>\n",
       "      <td>25.122</td>\n",
       "      <td>5.271</td>\n",
       "      <td>2.536790</td>\n",
       "      <td>0.532259</td>\n",
       "      <td>5.901612</td>\n",
       "      <td>1.238253</td>\n",
       "      <td>13.798030</td>\n",
       "      <td>2.895049</td>\n",
       "      <td>1.758941</td>\n",
       "      <td>0.369054</td>\n",
       "      <td>1.126626</td>\n",
       "      <td>0.236384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-01-01</th>\n",
       "      <td>23.691</td>\n",
       "      <td>2.671</td>\n",
       "      <td>28.355</td>\n",
       "      <td>5.194</td>\n",
       "      <td>2.863255</td>\n",
       "      <td>0.524484</td>\n",
       "      <td>6.661103</td>\n",
       "      <td>1.220165</td>\n",
       "      <td>15.573726</td>\n",
       "      <td>2.852757</td>\n",
       "      <td>1.985303</td>\n",
       "      <td>0.363663</td>\n",
       "      <td>1.271614</td>\n",
       "      <td>0.232931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-01</th>\n",
       "      <td>22.896</td>\n",
       "      <td>2.525</td>\n",
       "      <td>24.989</td>\n",
       "      <td>4.842</td>\n",
       "      <td>2.523360</td>\n",
       "      <td>0.488939</td>\n",
       "      <td>5.870368</td>\n",
       "      <td>1.137473</td>\n",
       "      <td>13.724981</td>\n",
       "      <td>2.659424</td>\n",
       "      <td>1.749629</td>\n",
       "      <td>0.339017</td>\n",
       "      <td>1.120661</td>\n",
       "      <td>0.217145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-01-01</th>\n",
       "      <td>21.863</td>\n",
       "      <td>2.356</td>\n",
       "      <td>21.279</td>\n",
       "      <td>5.486</td>\n",
       "      <td>2.148728</td>\n",
       "      <td>0.553970</td>\n",
       "      <td>4.998822</td>\n",
       "      <td>1.288761</td>\n",
       "      <td>11.687297</td>\n",
       "      <td>3.013136</td>\n",
       "      <td>1.489870</td>\n",
       "      <td>0.384108</td>\n",
       "      <td>0.954282</td>\n",
       "      <td>0.246026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-01</th>\n",
       "      <td>21.889</td>\n",
       "      <td>2.303</td>\n",
       "      <td>27.560</td>\n",
       "      <td>5.141</td>\n",
       "      <td>2.782976</td>\n",
       "      <td>0.519132</td>\n",
       "      <td>6.474343</td>\n",
       "      <td>1.207714</td>\n",
       "      <td>15.137080</td>\n",
       "      <td>2.823648</td>\n",
       "      <td>1.929640</td>\n",
       "      <td>0.359952</td>\n",
       "      <td>1.235961</td>\n",
       "      <td>0.230554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-01</th>\n",
       "      <td>21.253</td>\n",
       "      <td>2.184</td>\n",
       "      <td>19.265</td>\n",
       "      <td>4.852</td>\n",
       "      <td>1.945357</td>\n",
       "      <td>0.489949</td>\n",
       "      <td>4.525697</td>\n",
       "      <td>1.139823</td>\n",
       "      <td>10.581126</td>\n",
       "      <td>2.664917</td>\n",
       "      <td>1.348858</td>\n",
       "      <td>0.339718</td>\n",
       "      <td>0.863962</td>\n",
       "      <td>0.217594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009-01-01</th>\n",
       "      <td>19.901</td>\n",
       "      <td>1.993</td>\n",
       "      <td>19.345</td>\n",
       "      <td>4.993</td>\n",
       "      <td>1.953435</td>\n",
       "      <td>0.504187</td>\n",
       "      <td>4.544491</td>\n",
       "      <td>1.172946</td>\n",
       "      <td>10.625065</td>\n",
       "      <td>2.742360</td>\n",
       "      <td>1.354459</td>\n",
       "      <td>0.349590</td>\n",
       "      <td>0.867549</td>\n",
       "      <td>0.223917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>20.273</td>\n",
       "      <td>1.982</td>\n",
       "      <td>20.193</td>\n",
       "      <td>4.730</td>\n",
       "      <td>2.039065</td>\n",
       "      <td>0.477630</td>\n",
       "      <td>4.743701</td>\n",
       "      <td>1.111163</td>\n",
       "      <td>11.090822</td>\n",
       "      <td>2.597910</td>\n",
       "      <td>1.413833</td>\n",
       "      <td>0.331176</td>\n",
       "      <td>0.905579</td>\n",
       "      <td>0.212122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-01</th>\n",
       "      <td>19.584</td>\n",
       "      <td>1.863</td>\n",
       "      <td>19.265</td>\n",
       "      <td>5.496</td>\n",
       "      <td>1.945357</td>\n",
       "      <td>0.554980</td>\n",
       "      <td>4.525697</td>\n",
       "      <td>1.291110</td>\n",
       "      <td>10.581126</td>\n",
       "      <td>3.018628</td>\n",
       "      <td>1.348858</td>\n",
       "      <td>0.384808</td>\n",
       "      <td>0.863962</td>\n",
       "      <td>0.246475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-01</th>\n",
       "      <td>19.424</td>\n",
       "      <td>1.799</td>\n",
       "      <td>26.765</td>\n",
       "      <td>2.994</td>\n",
       "      <td>2.702698</td>\n",
       "      <td>0.302331</td>\n",
       "      <td>6.287583</td>\n",
       "      <td>0.703345</td>\n",
       "      <td>14.700433</td>\n",
       "      <td>1.644427</td>\n",
       "      <td>1.873978</td>\n",
       "      <td>0.209628</td>\n",
       "      <td>1.200308</td>\n",
       "      <td>0.134269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01</th>\n",
       "      <td>19.372</td>\n",
       "      <td>1.746</td>\n",
       "      <td>24.300</td>\n",
       "      <td>2.531</td>\n",
       "      <td>2.453785</td>\n",
       "      <td>0.255577</td>\n",
       "      <td>5.708510</td>\n",
       "      <td>0.594578</td>\n",
       "      <td>13.346554</td>\n",
       "      <td>1.390129</td>\n",
       "      <td>1.701388</td>\n",
       "      <td>0.177210</td>\n",
       "      <td>1.089762</td>\n",
       "      <td>0.113506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-01</th>\n",
       "      <td>19.981</td>\n",
       "      <td>1.749</td>\n",
       "      <td>24.195</td>\n",
       "      <td>2.027</td>\n",
       "      <td>2.443183</td>\n",
       "      <td>0.204684</td>\n",
       "      <td>5.683843</td>\n",
       "      <td>0.476179</td>\n",
       "      <td>13.288884</td>\n",
       "      <td>1.113311</td>\n",
       "      <td>1.694037</td>\n",
       "      <td>0.141922</td>\n",
       "      <td>1.085053</td>\n",
       "      <td>0.090903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-01</th>\n",
       "      <td>19.610</td>\n",
       "      <td>1.667</td>\n",
       "      <td>22.340</td>\n",
       "      <td>1.871</td>\n",
       "      <td>2.255867</td>\n",
       "      <td>0.188931</td>\n",
       "      <td>5.248070</td>\n",
       "      <td>0.439532</td>\n",
       "      <td>12.270042</td>\n",
       "      <td>1.027630</td>\n",
       "      <td>1.564157</td>\n",
       "      <td>0.131000</td>\n",
       "      <td>1.001864</td>\n",
       "      <td>0.083907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>19.398</td>\n",
       "      <td>1.601</td>\n",
       "      <td>24.433</td>\n",
       "      <td>1.956</td>\n",
       "      <td>2.467216</td>\n",
       "      <td>0.197515</td>\n",
       "      <td>5.739754</td>\n",
       "      <td>0.459500</td>\n",
       "      <td>13.419603</td>\n",
       "      <td>1.074315</td>\n",
       "      <td>1.710700</td>\n",
       "      <td>0.136951</td>\n",
       "      <td>1.095727</td>\n",
       "      <td>0.087719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-01</th>\n",
       "      <td>19.796</td>\n",
       "      <td>1.585</td>\n",
       "      <td>24.300</td>\n",
       "      <td>1.863</td>\n",
       "      <td>2.453785</td>\n",
       "      <td>0.188124</td>\n",
       "      <td>5.708510</td>\n",
       "      <td>0.437652</td>\n",
       "      <td>13.346554</td>\n",
       "      <td>1.023236</td>\n",
       "      <td>1.701388</td>\n",
       "      <td>0.130440</td>\n",
       "      <td>1.089762</td>\n",
       "      <td>0.083548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01</th>\n",
       "      <td>19.610</td>\n",
       "      <td>1.521</td>\n",
       "      <td>24.777</td>\n",
       "      <td>2.003</td>\n",
       "      <td>2.501952</td>\n",
       "      <td>0.202261</td>\n",
       "      <td>5.820566</td>\n",
       "      <td>0.470541</td>\n",
       "      <td>13.608542</td>\n",
       "      <td>1.100130</td>\n",
       "      <td>1.734786</td>\n",
       "      <td>0.140242</td>\n",
       "      <td>1.111154</td>\n",
       "      <td>0.089827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01</th>\n",
       "      <td>19.769</td>\n",
       "      <td>1.484</td>\n",
       "      <td>22.525</td>\n",
       "      <td>1.720</td>\n",
       "      <td>2.274548</td>\n",
       "      <td>0.173684</td>\n",
       "      <td>5.291530</td>\n",
       "      <td>0.404059</td>\n",
       "      <td>12.371652</td>\n",
       "      <td>0.944694</td>\n",
       "      <td>1.577110</td>\n",
       "      <td>0.120427</td>\n",
       "      <td>1.010160</td>\n",
       "      <td>0.077135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.075</td>\n",
       "      <td>1.799</td>\n",
       "      <td>2.229108</td>\n",
       "      <td>0.181661</td>\n",
       "      <td>5.185817</td>\n",
       "      <td>0.422618</td>\n",
       "      <td>12.124493</td>\n",
       "      <td>0.988084</td>\n",
       "      <td>1.545603</td>\n",
       "      <td>0.125959</td>\n",
       "      <td>0.989980</td>\n",
       "      <td>0.080678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.340</td>\n",
       "      <td>2.181</td>\n",
       "      <td>2.255867</td>\n",
       "      <td>0.220235</td>\n",
       "      <td>5.248070</td>\n",
       "      <td>0.512356</td>\n",
       "      <td>12.270042</td>\n",
       "      <td>1.197894</td>\n",
       "      <td>1.564157</td>\n",
       "      <td>0.152705</td>\n",
       "      <td>1.001864</td>\n",
       "      <td>0.097810</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Invent  Invent_std   InTEM  InTEM_std  InTEM_Energy  \\\n",
       "Year                                                              \n",
       "1990-01-01  43.990       6.519     NaN        NaN           NaN   \n",
       "1991-01-01  44.255       6.439     NaN        NaN           NaN   \n",
       "1992-01-01  39.750       5.697     NaN        NaN           NaN   \n",
       "1993-01-01  36.040       5.061     NaN        NaN           NaN   \n",
       "1994-01-01  36.570       5.061     NaN        NaN           NaN   \n",
       "1995-01-01  35.510       4.823  23.532      5.099      2.376234   \n",
       "1996-01-01  35.510       4.717  33.655      5.141      3.398442   \n",
       "1997-01-01  35.775       4.664  28.090      5.803      2.836495   \n",
       "1998-01-01  35.775       4.558  33.390      5.618      3.371683   \n",
       "1999-01-01  27.030       3.392  27.560      5.856      2.782976   \n",
       "2000-01-01  26.500       3.260  21.200      4.614      2.140751   \n",
       "2001-01-01  25.122       3.021  24.672      5.340      2.491350   \n",
       "2002-01-01  23.665       2.785  22.976      5.401      2.320089   \n",
       "2003-01-01  23.267       2.682  25.122      5.271      2.536790   \n",
       "2004-01-01  23.691       2.671  28.355      5.194      2.863255   \n",
       "2005-01-01  22.896       2.525  24.989      4.842      2.523360   \n",
       "2006-01-01  21.863       2.356  21.279      5.486      2.148728   \n",
       "2007-01-01  21.889       2.303  27.560      5.141      2.782976   \n",
       "2008-01-01  21.253       2.184  19.265      4.852      1.945357   \n",
       "2009-01-01  19.901       1.993  19.345      4.993      1.953435   \n",
       "2010-01-01  20.273       1.982  20.193      4.730      2.039065   \n",
       "2011-01-01  19.584       1.863  19.265      5.496      1.945357   \n",
       "2012-01-01  19.424       1.799  26.765      2.994      2.702698   \n",
       "2013-01-01  19.372       1.746  24.300      2.531      2.453785   \n",
       "2014-01-01  19.981       1.749  24.195      2.027      2.443183   \n",
       "2015-01-01  19.610       1.667  22.340      1.871      2.255867   \n",
       "2016-01-01  19.398       1.601  24.433      1.956      2.467216   \n",
       "2017-01-01  19.796       1.585  24.300      1.863      2.453785   \n",
       "2018-01-01  19.610       1.521  24.777      2.003      2.501952   \n",
       "2019-01-01  19.769       1.484  22.525      1.720      2.274548   \n",
       "2020-01-01     NaN         NaN  22.075      1.799      2.229108   \n",
       "2021-01-01     NaN         NaN  22.340      2.181      2.255867   \n",
       "\n",
       "            InTEM_Energy_std  InTEM_Industry  InTEM_Industry_std  \\\n",
       "Year                                                               \n",
       "1990-01-01               NaN             NaN                 NaN   \n",
       "1991-01-01               NaN             NaN                 NaN   \n",
       "1992-01-01               NaN             NaN                 NaN   \n",
       "1993-01-01               NaN             NaN                 NaN   \n",
       "1994-01-01               NaN             NaN                 NaN   \n",
       "1995-01-01          0.514891        5.528093            1.197847   \n",
       "1996-01-01          0.519132        7.906169            1.207714   \n",
       "1997-01-01          0.585980        6.598849            1.363230   \n",
       "1998-01-01          0.567299        7.843915            1.319770   \n",
       "1999-01-01          0.591332        6.474343            1.375680   \n",
       "2000-01-01          0.465916        4.980264            1.083912   \n",
       "2001-01-01          0.539227        5.795899            1.254463   \n",
       "2002-01-01          0.545387        5.397478            1.268793   \n",
       "2003-01-01          0.532259        5.901612            1.238253   \n",
       "2004-01-01          0.524484        6.661103            1.220165   \n",
       "2005-01-01          0.488939        5.870368            1.137473   \n",
       "2006-01-01          0.553970        4.998822            1.288761   \n",
       "2007-01-01          0.519132        6.474343            1.207714   \n",
       "2008-01-01          0.489949        4.525697            1.139823   \n",
       "2009-01-01          0.504187        4.544491            1.172946   \n",
       "2010-01-01          0.477630        4.743701            1.111163   \n",
       "2011-01-01          0.554980        4.525697            1.291110   \n",
       "2012-01-01          0.302331        6.287583            0.703345   \n",
       "2013-01-01          0.255577        5.708510            0.594578   \n",
       "2014-01-01          0.204684        5.683843            0.476179   \n",
       "2015-01-01          0.188931        5.248070            0.439532   \n",
       "2016-01-01          0.197515        5.739754            0.459500   \n",
       "2017-01-01          0.188124        5.708510            0.437652   \n",
       "2018-01-01          0.202261        5.820566            0.470541   \n",
       "2019-01-01          0.173684        5.291530            0.404059   \n",
       "2020-01-01          0.181661        5.185817            0.422618   \n",
       "2021-01-01          0.220235        5.248070            0.512356   \n",
       "\n",
       "            InTEM_Agriculture  InTEM_Agriculture_std  InTEM_LULUCF  \\\n",
       "Year                                                                 \n",
       "1990-01-01                NaN                    NaN           NaN   \n",
       "1991-01-01                NaN                    NaN           NaN   \n",
       "1992-01-01                NaN                    NaN           NaN   \n",
       "1993-01-01                NaN                    NaN           NaN   \n",
       "1994-01-01                NaN                    NaN           NaN   \n",
       "1995-01-01          12.924737               2.800579      1.647616   \n",
       "1996-01-01          18.484703               2.823648      2.356388   \n",
       "1997-01-01          15.428177               3.187245      1.966749   \n",
       "1998-01-01          18.339154               3.085635      2.337834   \n",
       "1999-01-01          15.137080               3.216355      1.929640   \n",
       "2000-01-01          11.643907               2.534198      1.484339   \n",
       "2001-01-01          13.550872               2.932946      1.727434   \n",
       "2002-01-01          12.619359               2.966450      1.608687   \n",
       "2003-01-01          13.798030               2.895049      1.758941   \n",
       "2004-01-01          15.573726               2.852757      1.985303   \n",
       "2005-01-01          13.724981               2.659424      1.749629   \n",
       "2006-01-01          11.687297               3.013136      1.489870   \n",
       "2007-01-01          15.137080               2.823648      1.929640   \n",
       "2008-01-01          10.581126               2.664917      1.348858   \n",
       "2009-01-01          10.625065               2.742360      1.354459   \n",
       "2010-01-01          11.090822               2.597910      1.413833   \n",
       "2011-01-01          10.581126               3.018628      1.348858   \n",
       "2012-01-01          14.700433               1.644427      1.873978   \n",
       "2013-01-01          13.346554               1.390129      1.701388   \n",
       "2014-01-01          13.288884               1.113311      1.694037   \n",
       "2015-01-01          12.270042               1.027630      1.564157   \n",
       "2016-01-01          13.419603               1.074315      1.710700   \n",
       "2017-01-01          13.346554               1.023236      1.701388   \n",
       "2018-01-01          13.608542               1.100130      1.734786   \n",
       "2019-01-01          12.371652               0.944694      1.577110   \n",
       "2020-01-01          12.124493               0.988084      1.545603   \n",
       "2021-01-01          12.270042               1.197894      1.564157   \n",
       "\n",
       "            InTEM_LULUCF_std  InTEM_Waste  InTEM_Waste_std  \n",
       "Year                                                        \n",
       "1990-01-01               NaN          NaN              NaN  \n",
       "1991-01-01               NaN          NaN              NaN  \n",
       "1992-01-01               NaN          NaN              NaN  \n",
       "1993-01-01               NaN          NaN              NaN  \n",
       "1994-01-01               NaN          NaN              NaN  \n",
       "1995-01-01          0.357011     1.055320         0.228671  \n",
       "1996-01-01          0.359952     1.509298         0.230554  \n",
       "1997-01-01          0.406303     1.259729         0.260242  \n",
       "1998-01-01          0.393350     1.497414         0.251946  \n",
       "1999-01-01          0.410014     1.235961         0.262619  \n",
       "2000-01-01          0.323054     0.950739         0.206920  \n",
       "2001-01-01          0.373885     1.106445         0.239479  \n",
       "2002-01-01          0.378156     1.030386         0.242214  \n",
       "2003-01-01          0.369054     1.126626         0.236384  \n",
       "2004-01-01          0.363663     1.271614         0.232931  \n",
       "2005-01-01          0.339017     1.120661         0.217145  \n",
       "2006-01-01          0.384108     0.954282         0.246026  \n",
       "2007-01-01          0.359952     1.235961         0.230554  \n",
       "2008-01-01          0.339718     0.863962         0.217594  \n",
       "2009-01-01          0.349590     0.867549         0.223917  \n",
       "2010-01-01          0.331176     0.905579         0.212122  \n",
       "2011-01-01          0.384808     0.863962         0.246475  \n",
       "2012-01-01          0.209628     1.200308         0.134269  \n",
       "2013-01-01          0.177210     1.089762         0.113506  \n",
       "2014-01-01          0.141922     1.085053         0.090903  \n",
       "2015-01-01          0.131000     1.001864         0.083907  \n",
       "2016-01-01          0.136951     1.095727         0.087719  \n",
       "2017-01-01          0.130440     1.089762         0.083548  \n",
       "2018-01-01          0.140242     1.111154         0.089827  \n",
       "2019-01-01          0.120427     1.010160         0.077135  \n",
       "2020-01-01          0.125959     0.989980         0.080678  \n",
       "2021-01-01          0.152705     1.001864         0.097810  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_n2o[\"InTEM_Energy\"] = df_n2o[\"InTEM\"] *0.100978825\n",
    "df_n2o[\"InTEM_Energy_std\"] = df_n2o[\"InTEM_std\"] *0.100978825\n",
    "\n",
    "df_n2o[\"InTEM_Industry\"] = df_n2o[\"InTEM\"] *0.234918098\n",
    "df_n2o[\"InTEM_Industry_std\"] = df_n2o[\"InTEM_std\"] *0.234918098\n",
    "\n",
    "df_n2o[\"InTEM_Agriculture\"] = df_n2o[\"InTEM\"] *0.549240911\n",
    "df_n2o[\"InTEM_Agriculture_std\"] = df_n2o[\"InTEM_std\"] *0.549240911\n",
    "\n",
    "df_n2o[\"InTEM_LULUCF\"] = df_n2o[\"InTEM\"] *0.070015981\n",
    "df_n2o[\"InTEM_LULUCF_std\"] = df_n2o[\"InTEM_std\"] *0.070015981\n",
    "\n",
    "df_n2o[\"InTEM_Waste\"] = df_n2o[\"InTEM\"] *0.044846185\n",
    "df_n2o[\"InTEM_Waste_std\"] = df_n2o[\"InTEM_std\"] *0.044846185\n",
    "df_n2o"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e882e5f4-c0b7-4ec5-b5fa-a0dfe521c265",
   "metadata": {},
   "outputs": [
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   ],
   "source": [
    "fig1 = go.Figure()\n",
    "\n",
    "alpha = 0.6\n",
    "color_1 = [\"rgba(86, 119, 194, 1)\", f\"rgba(86, 119, 194, {alpha})\"]\n",
    "color_2 = [\"rgba(99, 182, 137, 1)\", f\"rgba(99, 182, 137, {alpha})\"]\n",
    "color_3 = [\"rgba(238,92,66, 1)\", f\"rgba(238,92,66, {alpha})\"]\n",
    "color_4 = [\"rgba(255,215,0, 1)\", f\"rgba(255,215,0, {alpha})\"]\n",
    "color_5 = [\"rgba(142,229,238, 1)\", f\"rgba(142,229,238, {alpha})\"]\n",
    "color_6 = [\"rgba(0, 0, 0, 1)\", f\"rgba(0, 0, 0, {alpha})\"]\n",
    "\n",
    "date_range = [1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003,2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]\n",
    "#date_range = [\"2019-03-01\", \"2019-06-01\"]\n",
    "\n",
    "def errorbars(df, var, color, dash, name, showlegend=False):\n",
    "\n",
    "    error_minus=df[var] - df[f\"{var}_std\"]\n",
    "    error_plus=df[var] + df[f\"{var}_std\"]\n",
    "\n",
    "    fig1.add_trace(go.Scatter(\n",
    "        x=date_range,\n",
    "        y=error_minus.values,\n",
    "        fill=None,\n",
    "        mode='lines',\n",
    "        line=dict(color=color[1], width=0.1),\n",
    "        showlegend=False,\n",
    "        hoverinfo='skip'\n",
    "        ))\n",
    "\n",
    "    fig1.add_trace(go.Scatter(\n",
    "        x=date_range,\n",
    "        y=error_plus.values,\n",
    "        fill=\"tonexty\",\n",
    "        mode='lines',\n",
    "        line=dict(color=color[1], width=0.1),\n",
    "        showlegend=False,\n",
    "        hoverinfo='skip'\n",
    "        ))\n",
    "    \n",
    "    fig1.add_trace(go.Scatter(\n",
    "        x=date_range,\n",
    "        y=df[var],\n",
    "        mode=\"lines\",\n",
    "        line=dict(color=color[0], dash=\"dot\", width = 0.1),\n",
    "        showlegend=showlegend,\n",
    "        name=name,\n",
    "        hovertemplate = 'InTEM %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "        ))\n",
    "\n",
    "fig1.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=dfN2O_CO2_equ.loc[\"1. Energy\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_1[0], width=3.),\n",
    "    showlegend=True,\n",
    "    hovertemplate = 'InTEM Energy %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"Energy\",\n",
    "    ))\n",
    "\n",
    "fig1.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=dfN2O_CO2_equ.loc[\"2.  Industrial processes\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_2[0], width=3.),\n",
    "    showlegend=True,\n",
    "    hovertemplate = 'InTEM Industrial Processes %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"Industrial processes\",\n",
    "    ))\n",
    "\n",
    "fig1.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=dfN2O_CO2_equ.loc[\"3.  Agriculture\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_3[0], width=3.),\n",
    "    showlegend=True,\n",
    "    hovertemplate = 'InTEM Agriculture %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"Agriculture\",\n",
    "    ))\n",
    "\n",
    "fig1.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=dfN2O_CO2_equ.loc[\"4. Land use, land-use change and forestry\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_4[0], width=3.),\n",
    "    showlegend=True,\n",
    "    hovertemplate = 'InTEM LULUCF %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"Land use, Land-use change and forestry\",\n",
    "    ))\n",
    "\n",
    "fig1.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=dfN2O_CO2_equ.loc[\"5.  Waste\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_5[0], width=3.),\n",
    "    showlegend=True,\n",
    "    hovertemplate = 'InTEM Waste %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"Waste\",\n",
    "    ))\n",
    "\n",
    "errorbars(df_n2o, \"InTEM_Energy\", color_1, None, \"InTEM\")\n",
    "fig1.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=df_n2o[\"InTEM_Energy\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_1[0], dash=\"dot\", width=5),\n",
    "    showlegend=False,\n",
    "    hovertemplate = 'InTEM Energy %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"InTEM\",\n",
    "    ))\n",
    "\n",
    "errorbars(df_n2o, \"InTEM_Industry\", color_2, None, \"InTEM\")\n",
    "fig1.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=df_n2o[\"InTEM_Industry\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_2[0], dash=\"dot\", width=5),\n",
    "    showlegend=False,\n",
    "    hovertemplate = 'InTEM Industrial Processes %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"InTEM\",\n",
    "    ))\n",
    "\n",
    "errorbars(df_n2o, \"InTEM_Agriculture\", color_3, None, \"InTEM\")\n",
    "fig1.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=df_n2o[\"InTEM_Agriculture\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_3[0], dash=\"dot\", width=5),\n",
    "    showlegend=False,\n",
    "    hovertemplate = 'InTEM Agriculture %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"InTEM\",\n",
    "    ))\n",
    "\n",
    "errorbars(df_n2o, \"InTEM_LULUCF\", color_4, None, \"InTEM\")\n",
    "fig1.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=df_n2o[\"InTEM_LULUCF\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_4[0], dash=\"dot\", width=5),\n",
    "    showlegend=False,\n",
    "    hovertemplate = 'InTEM LULUCF %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"InTEM\",\n",
    "    ))\n",
    "\n",
    "errorbars(df_n2o, \"InTEM_Waste\", color_5, None, \"InTEM\")\n",
    "fig1.add_trace(go.Scatter(\n",
    "    x=date_range,\n",
    "    y=df_n2o[\"InTEM_Waste\"],\n",
    "    mode='lines',\n",
    "    line=dict(color=color_5[0], dash=\"dot\", width=5),\n",
    "    showlegend=False,\n",
    "    hovertemplate = 'InTEM Waste %{x|%Y}: %{y:.0f} Gt yr⁻¹<extra></extra>',\n",
    "    name=\"InTEM\",\n",
    "    ))\n",
    "\n",
    "fig1.add_trace(go.Scatter(\n",
    "    x=[pd.Timestamp(\"1900-01-01\"), pd.Timestamp(\"1900-01-02\")],\n",
    "    y=[0., 0.],\n",
    "    line=dict(color=\"black\", dash=\"dot\", width=4),\n",
    "    marker=dict(opacity=0., size=0),\n",
    "    showlegend=True,\n",
    "    name=\"InTEM\"\n",
    "    ))\n",
    "\n",
    "fig1.update_layout(\n",
    "    yaxis_title=\"Annual N₂O emissions (Gt yr⁻¹)\",\n",
    "    template=\"simple_white\",\n",
    "    autosize=False,\n",
    "    width=550*2,\n",
    "    height=400*2,\n",
    "    legend=dict(\n",
    "        yanchor=\"top\",\n",
    "        y=0.99,\n",
    "        xanchor=\"right\",\n",
    "        x=0.99,\n",
    "        traceorder=\"normal\"),\n",
    "    margin=dict(l=55, r=10, t=10, b=40),\n",
    "    # paper_bgcolor='rgba(0,0,0,0)',\n",
    "    # plot_bgcolor='rgba(0,0,0,0)'\n",
    ")\n",
    "\n",
    "fig1.update_yaxes(showgrid=True, gridwidth=1, gridcolor='Lightgrey')\n",
    "\n",
    "fig1.layout.font.size=20\n",
    "fig1.layout.font.family=\"Arial\"\n",
    "\n",
    "fig1.write_image(\"Annual_N2O_emissions_by_sector_BOTH.png\")\n",
    "fig1.write_html(\"Annual_N2O_emissions_by_sector_BOTH.html\")\n",
    "\n",
    "fig1.show()"
   ]
  }
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