analysis/Climate change/greenhouse_gas_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Greenhouse gas emission analysis\n",
    "\n",
    "Reference:\n",
    "\n",
    "- Data source:\n",
    "    <https://data.worldbank.org/topic/climate-change?end=2018&start=1973>\n",
    "- Custom scatterplot colors with colorbar in Matplotlib:\n",
    "    <https://www.robotswillkillusall.org/posts/mpl-scatterplot-colorbar.html>\n",
    "- Legend guide\n",
    "    <https://matplotlib.org/users/legend_guide.html>\n",
    "- Greenhouse gas\n",
    "    <https://en.wikipedia.org/wiki/Greenhouse_gas>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "pd.set_option('display.float_format', lambda x: '%.1f' % x)\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import FuncFormatter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "climate_1960_2018 = pd.read_csv('datasets/climate_1960_2018.csv')\n",
    "climate_1960_2018.drop(columns='Unnamed: 63', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20064, 63)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "climate_1960_2018.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/pandas/core/frame.py:3790: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  downcast=downcast, **kwargs)\n"
     ]
    }
   ],
   "source": [
    "indicators = ['Population, total',\n",
    "              'CO2 emissions (kt)',\n",
    "              'CO2 emissions (metric tons per capita)',\n",
    "              'Methane emissions (kt of CO2 equivalent)',\n",
    "              'Nitrous oxide emissions (thousand metric tons of CO2 equivalent)',\n",
    "              'SF6 gas emissions (thousand metric tons of CO2 equivalent)',\n",
    "              'PFC gas emissions (thousand metric tons of CO2 equivalent)',\n",
    "              'HFC gas emissions (thousand metric tons of CO2 equivalent)',\n",
    "              'Total greenhouse gas emissions (kt of CO2 equivalent)']\n",
    "\n",
    "ghg_1960_2018 = climate_1960_2018[climate_1960_2018['Indicator Name'].isin(indicators)]\n",
    "ghg_1960_2018.fillna(0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/pandas/core/frame.py:3697: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  errors=errors)\n"
     ]
    }
   ],
   "source": [
    "ghg_1960_2018.drop(columns=['Country Code', 'Indicator Code'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def df_4each_indicator(glb_df, indicator):\n",
    "    df = glb_df[glb_df['Indicator Name'] == indicator]\n",
    "    df.index = df['Country Name']\n",
    "    df.drop(columns=['Country Name', 'Indicator Name'], inplace=True)\n",
    "    df = df.T\n",
    "    df.index = pd.to_datetime(df.index, format='%Y-%m-%d')\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "pop_tot_1960_2018 = df_4each_indicator(ghg_1960_2018, 'Population, total')\n",
    "co2_kt_1960_2018 = df_4each_indicator(ghg_1960_2018, 'CO2 emissions (kt)')\n",
    "co2_tons_1960_2018 = df_4each_indicator(ghg_1960_2018, 'CO2 emissions (metric tons per capita)')\n",
    "methane_1960_2018 = df_4each_indicator(ghg_1960_2018, 'Methane emissions (kt of CO2 equivalent)')\n",
    "n2o_1960_2018 = df_4each_indicator(ghg_1960_2018,\n",
    "                                   'Nitrous oxide emissions (thousand metric tons of CO2 equivalent)')\n",
    "greenhouse_gas_1960_2018 = df_4each_indicator(ghg_1960_2018,\n",
    "                                              'Total greenhouse gas emissions (kt of CO2 equivalent)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def billions_1dec(x, pos):\n",
    "    \"\"\"\n",
    "    :param x: value\n",
    "    :param pos: tick position\n",
    "    \"\"\"\n",
    "    return '%1.1f' % (x * 1e-9)\n",
    "\n",
    "\n",
    "def millions_0dec(x, pos):\n",
    "    \"\"\"\n",
    "    :param x: value\n",
    "    :param pos: tick position\n",
    "    \"\"\"\n",
    "    return '%1.0f' % (x * 1e-6)\n",
    "\n",
    "\n",
    "def milles_dec(x, pos):\n",
    "    \"\"\"\n",
    "    :param x: value\n",
    "    :param pos: tick position\n",
    "    \"\"\"\n",
    "    return '%1.0f' % (x * 1e-3)\n",
    "\n",
    "FORMATTER_BILLIONS_1DEC = FuncFormatter(billions_1dec)\n",
    "FORMATTER_MILLIONS_0DEC = FuncFormatter(millions_0dec)\n",
    "FORMATTER_MILLES = FuncFormatter(milles_dec)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Greenhouse gas emission\n",
    "\n",
    "1 metric ton = 0.98421 ton"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/ipykernel_launcher.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  import sys\n"
     ]
    }
   ],
   "source": [
    "co2_kt_pos = co2_kt_1960_2018[co2_kt_1960_2018['World'] > 0]\n",
    "co2_tons_pos = co2_tons_1960_2018[co2_tons_1960_2018['World'] > 0]\n",
    "\n",
    "greenhouse_gas_pos = greenhouse_gas_1960_2018[greenhouse_gas_1960_2018['World'] > 0] # kt of CO2 equivalent\n",
    "methane_pos = methane_1960_2018[methane_1960_2018['World'] > 0] # kt of CO2 equivalent\n",
    "n2o_pos = n2o_1960_2018[n2o_1960_2018['World'] > 0] # thousand metric tons of CO2 equivalent\n",
    "n2o_pos['World_kt'] = n2o_pos['World'] * 0.98421 # kt of CO2 equivalent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "ghg_world_hist_df = pd.merge(greenhouse_gas_pos[['World']],\n",
    "                             co2_kt_pos[['World']],\n",
    "                             left_index=True,\n",
    "                             right_index=True,\n",
    "                             how='left',\n",
    "                             suffixes=('_ghg', '_co2'))\n",
    "ghg_world_hist_df = pd.merge(ghg_world_hist_df,\n",
    "                             methane_pos[['World']],\n",
    "                             left_index=True,\n",
    "                             right_index=True,\n",
    "                             how='outer').rename(columns={'World':'World_methane'})\n",
    "ghg_world_hist_df = pd.merge(ghg_world_hist_df,\n",
    "                             n2o_pos[['World_kt']],\n",
    "                             left_index=True,\n",
    "                             right_index=True,\n",
    "                             how='outer').rename(columns={'World_kt':'World_n2o'})\n",
    "\n",
    "ghg_world_hist_df['Others'] = ghg_world_hist_df['World_ghg'] - ghg_world_hist_df['World_co2'] - ghg_world_hist_df['World_methane'] - ghg_world_hist_df['World_n2o']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Country Name</th>\n",
       "      <th>World_ghg</th>\n",
       "      <th>World_co2</th>\n",
       "      <th>World_methane</th>\n",
       "      <th>World_n2o</th>\n",
       "      <th>Others</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1970-01-01</th>\n",
       "      <td>27660218.5</td>\n",
       "      <td>14788798.3</td>\n",
       "      <td>5305820.0</td>\n",
       "      <td>2190782.8</td>\n",
       "      <td>5374817.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1971-01-01</th>\n",
       "      <td>26263241.3</td>\n",
       "      <td>15323175.6</td>\n",
       "      <td>5145430.0</td>\n",
       "      <td>2056249.7</td>\n",
       "      <td>3738386.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1972-01-01</th>\n",
       "      <td>28148780.8</td>\n",
       "      <td>15957192.5</td>\n",
       "      <td>5360610.0</td>\n",
       "      <td>2209955.6</td>\n",
       "      <td>4621022.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1973-01-01</th>\n",
       "      <td>29107899.1</td>\n",
       "      <td>16822109.5</td>\n",
       "      <td>5421500.0</td>\n",
       "      <td>2254845.7</td>\n",
       "      <td>4609443.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1974-01-01</th>\n",
       "      <td>28434027.1</td>\n",
       "      <td>16850822.1</td>\n",
       "      <td>5379140.0</td>\n",
       "      <td>2204970.1</td>\n",
       "      <td>3999094.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country Name  World_ghg  World_co2  World_methane  World_n2o    Others\n",
       "1970-01-01   27660218.5 14788798.3      5305820.0  2190782.8 5374817.4\n",
       "1971-01-01   26263241.3 15323175.6      5145430.0  2056249.7 3738386.0\n",
       "1972-01-01   28148780.8 15957192.5      5360610.0  2209955.6 4621022.8\n",
       "1973-01-01   29107899.1 16822109.5      5421500.0  2254845.7 4609443.9\n",
       "1974-01-01   28434027.1 16850822.1      5379140.0  2204970.1 3999094.9"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ghg_world_hist_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1008x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axarr = plt.subplots(nrows=1, ncols=1, figsize=(14, 9))\n",
    "\n",
    "axarr.set_title('World greenhouse gases emissions (kt of CO2 equivalent)', fontdict={'fontsize': 13})\n",
    "\n",
    "axarr.stackplot(ghg_world_hist_df.index,\n",
    "                [ghg_world_hist_df['Others'], ghg_world_hist_df['World_n2o'],\n",
    "                 ghg_world_hist_df['World_methane'], ghg_world_hist_df['World_co2']],\n",
    "                labels=['Other greenhouse gas', 'N20', 'Methane', 'CO2'],\n",
    "                alpha=0.8)\n",
    "\n",
    "axarr.set_xlabel('Year', size=13)\n",
    "axarr.set_ylabel('Gas emissions (thousand metric tons of CO2 equivalent) (* 1e6)', size=13)\n",
    "axarr.yaxis.set_major_formatter(FORMATTER_MILLIONS_0DEC)\n",
    "axarr.legend(loc=2, fontsize='large')\n",
    "axarr.spines['top'].set_visible(False)\n",
    "axarr.grid(alpha=0.3)\n",
    "\n",
    "plt.show()\n",
    "# plt.savefig('ghg-emission.png', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<https://en.wikipedia.org/wiki/Greenhouse_gas><br>\n",
    "Greenhouse gases are those that absorb and emit infrared radiation in the wavelength range emitted by Earth. In order, the most abundant greenhouse gases in Earth's atmosphere are: Water vapor (H2O), Carbon dioxide (CO2), Methane (CH4), Nitrous oxide (N2O), Ozone (O3), Chlorofluorocarbons (CFCs) and Hydrofluorocarbons (includes HCFCs and HFCs). Here, I have only emission data of greenhouse gas, CO2, Methane and Nitrous oxide.\n",
    "\n",
    "The contribution of each gas to the greenhouse effect is determined by the characteristics of that gas, its abundance, and any indirect effects it may cause. For example, the direct radiative effect of a mass of methane is about 84 times stronger than the same mass of carbon dioxide over a 20-year time frame but it is present in much smaller concentrations so that its total direct radiative effect is smaller, in part due to its shorter atmospheric lifetime. On the other hand, in addition to its direct radiative impact, methane has a large, indirect radiative effect because it contributes to ozone formation. Shindell et al. (2005) argue that the contribution to climate change from methane is at least double previous estimates as a result of this effect.\n",
    "\n",
    "It is not possible to state that a certain gas causes an exact percentage of the greenhouse effect. This is because some of the gases absorb and emit radiation at the same frequencies as others, so that the total greenhouse effect is not simply the sum of the influence of each gas. The higher ends of the ranges quoted are for each gas alone; the lower ends account for overlaps with the other gases. In addition, some gases, such as methane, are known to have large indirect effects that are still being quantified.\n",
    "\n",
    "Now let's look at the greenhouse gas emission. Greenhouse gas's emission increased nearly 94% between 1970 and 2012, especially after 2001, it increased 33%. Among all greenhouse gas, CO2-emission quote-part is more than half of greenhouse gas emission, we'll go deeper in the following part. However, the emission of Methane and Nitrous oxide didn't increase that much. Since CO2's emission is usually generated by burning fossil fuels, deforestation or biological respiration, and the emission of Methane and Nitrous oxide is caused by intestinal fermentation, combustion of organisms or fertilizer production, which are less frequency."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CO2 emissions (kt) & CO2 emissions (metric tons per capita)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<https://en.wikipedia.org/wiki/Carbon_dioxide><br>\n",
    "Carbon dioxide in Earth's atmosphere is a trace gas, at the mid 2018 having a global average concentration of 409 parts per million by volume (or 622 parts per million by mass). Atmospheric concentrations of carbon dioxide fluctuate slightly with the seasons, falling during the Northern Hemisphere spring and summer as plants consume the gas and rising during northern autumn and winter as plants go dormant or die and decay. Concentrations also vary on a regional basis, most strongly near the ground with much smaller variations aloft. In urban areas concentrations are generally higher and indoors they can reach 10 times background levels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# colormap\n",
    "cmap_co2kt = matplotlib.cm.get_cmap('winter_r')\n",
    "cmap_co2tons = matplotlib.cm.get_cmap('autumn_r') # magma_r\n",
    "\n",
    "normalize_co2kt = matplotlib.colors.Normalize(vmin=min(co2_kt_pos['World']),\n",
    "                                              vmax=max(co2_kt_pos['World']))\n",
    "colors_co2kt = [cmap_co2kt(normalize_co2kt(value)) for value in list(co2_kt_pos['World'].values)]\n",
    "\n",
    "normalize_co2tons = matplotlib.colors.Normalize(vmin=min(co2_kt_pos['World']),\n",
    "                                                vmax=max(co2_kt_pos['World']))\n",
    "colors_co2tons = [cmap_co2tons(normalize_co2tons(value)) for value in list(co2_kt_pos['World'].values)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "not_ctry_list = ['World', 'Post-demographic dividend', 'OECD members', 'High income', 'North America',\n",
    "                 'IBRD only', 'IDA & IBRD total', 'IDA total', 'IDA blend', 'IDA only', 'Not classified',\n",
    "                 'Low income', 'Lower middle income', 'Low & middle income', 'Late-demographic dividend',\n",
    "                 'Arab World', 'East Asia & Pacific (excluding high income)', 'Early-demographic dividend',\n",
    "                 'East Asia & Pacific', 'Europe & Central Asia (excluding high income)', 'Europe & Central Asia',\n",
    "                 'Euro area', 'European Union', 'Middle East & North Africa', 'Middle income',\n",
    "                 'Middle East & North Africa (excluding high income)', 'Pre-demographic dividend',\n",
    "                 'South Asia', 'Sub-Saharan Africa (excluding high income)',\n",
    "                 'East Asia & Pacific (IDA & IBRD countries)', 'Europe & Central Asia (IDA & IBRD countries)',\n",
    "                 'Latin America & the Caribbean (IDA & IBRD countries)',\n",
    "                 'Middle East & North Africa (IDA & IBRD countries)', 'South Asia (IDA & IBRD)',\n",
    "                 'Sub-Saharan Africa (IDA & IBRD countries)', 'Upper middle income',\n",
    "                 'Central Europe and the Baltics', 'Latin America & Caribbean (excluding high income)']\n",
    "co2_emission_kt_top3 = ['China', 'United States', 'India']\n",
    "co2_emission_tons_top3 = ['Qatar', 'Curacao', 'Trinidad and Tobago']\n",
    "\n",
    "co2_emission_kt_exclu = not_ctry_list + co2_emission_kt_top3\n",
    "co2_emission_tons_exclu = not_ctry_list + co2_emission_tons_top3\n",
    "pop_exclu = not_ctry_list + co2_emission_kt_top3 + co2_emission_tons_top3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x720 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axarr = plt.subplots(nrows=3, ncols=3, figsize=(14, 10))\n",
    "\n",
    "ax00 = plt.subplot2grid((3, 3), (0, 0), rowspan=2, colspan=3)\n",
    "ax00.set_title('World CO2 emissions (kt) & World CO2 emissions (metric tons per capita)', fontdict={'fontsize': 13})\n",
    "\n",
    "line_co2kt, = ax00.plot(co2_kt_pos.index,\n",
    "                        co2_kt_pos['World'],\n",
    "                        label='World CO2 emissions (kt)',\n",
    "                        linewidth=2.5,\n",
    "                        marker='.',\n",
    "                        markersize=10)\n",
    "\n",
    "ax00_02 = ax00.twinx()\n",
    "line_co2tons, = ax00_02.plot(co2_tons_pos.index,\n",
    "                             co2_tons_pos['World'],\n",
    "                             color='salmon',\n",
    "                             label='World CO2 emissions (metric tons per capita)',\n",
    "                             linewidth=2.5,\n",
    "                             marker='.',\n",
    "                             markersize=10)\n",
    "\n",
    "ax00.tick_params(axis='both', labelsize=12)\n",
    "ax00.set_ylabel('CO2 emissions (kt) (* 1e6)', size=13)\n",
    "ax00.set_ylim(bottom=0)\n",
    "ax00.yaxis.set_major_formatter(FORMATTER_MILLIONS_0DEC)\n",
    "ax00.spines['top'].set_visible(False)\n",
    "ax00.grid(alpha=0.3, axis='x')\n",
    "ax00.legend(loc=3)\n",
    "ax00.legend(handles=[line_co2kt, line_co2tons], loc=3)\n",
    "\n",
    "\n",
    "ax00_02.tick_params(axis='both', labelsize=12)\n",
    "ax00_02.set_ylabel('CO2 emissions (metric tons per capita)', rotation=270, labelpad=17, size=13)\n",
    "ax00_02.set_ylim(bottom=0)\n",
    "ax00_02.spines['top'].set_visible(False)\n",
    "\n",
    "\n",
    "ax20 = axarr[2, 0]\n",
    "ax20.set_title('CO2 emissions (kt)', fontdict={'fontsize': 13})\n",
    "\n",
    "for col in co2_kt_pos.drop(columns=co2_emission_kt_exclu).columns:\n",
    "    ax20.plot(co2_kt_pos.index,\n",
    "              co2_kt_pos[col],\n",
    "              label=col,\n",
    "              color='gray',\n",
    "              alpha=0.2)\n",
    "\n",
    "line_cn, = ax20.plot(co2_kt_pos.index,\n",
    "                     co2_kt_pos['China'],\n",
    "                     color='royalblue',\n",
    "                     linewidth=2)\n",
    "line_us, = ax20.plot(co2_kt_pos.index,\n",
    "                     co2_kt_pos['United States'],\n",
    "                     color='cadetblue',\n",
    "                     linewidth=2)\n",
    "line_in, = ax20.plot(co2_kt_pos.index,\n",
    "                     co2_kt_pos['India'],\n",
    "                     color='turquoise',\n",
    "                     linewidth=2)\n",
    "\n",
    "ax20.set_xlabel('Year', size=13)\n",
    "ax20.set_ylabel('CO2 emissions (kt) (* 1e6)', size=13)\n",
    "ax20.yaxis.set_major_formatter(FORMATTER_MILLIONS_0DEC)\n",
    "ax20.legend(handles=[line_cn, line_us, line_in], loc=2)\n",
    "ax20.spines['top'].set_visible(False)\n",
    "ax20.grid(alpha=0.3, axis='x')\n",
    "\n",
    "\n",
    "ax21 = axarr[2, 1]\n",
    "ax21.set_title('CO2 emissions (metric tons per capita)', fontdict={'fontsize': 13})\n",
    "\n",
    "for col in co2_tons_pos.drop(columns=co2_emission_tons_exclu).columns:\n",
    "    ax21.plot(co2_tons_pos.index,\n",
    "              co2_tons_pos[col],\n",
    "              label=col,\n",
    "              color='gray',\n",
    "              alpha=0.2)\n",
    "\n",
    "line_qa, = ax21.plot(co2_tons_pos.index,\n",
    "                     co2_tons_pos['Qatar'],\n",
    "                     color='blueviolet', # purple\n",
    "                     linewidth=2)\n",
    "line_cw, = ax21.plot(co2_tons_pos.index,\n",
    "                     co2_tons_pos['Curacao'],\n",
    "                     color='mediumvioletred',\n",
    "                     linewidth=2)\n",
    "line_tt, = ax21.plot(co2_tons_pos.index,\n",
    "                     co2_tons_pos['Trinidad and Tobago'],\n",
    "                     color='salmon',\n",
    "                     linewidth=2)\n",
    "\n",
    "ax21.set_xlabel('Year', size=13)\n",
    "ax21.set_ylabel('CO2 emissions\\n(metric tons per capita)', size=13)\n",
    "ax21.legend(handles=[line_qa, line_cw, line_tt], loc=1)\n",
    "ax21.spines['top'].set_visible(False)\n",
    "ax21.grid(alpha=0.3, axis='x')\n",
    "\n",
    "\n",
    "ax22 = axarr[2, 2]\n",
    "ax22.set_title('Total population', fontdict={'fontsize': 13})\n",
    "\n",
    "for col in pop_tot_1960_2018.drop(columns=pop_exclu).columns:\n",
    "    ax22.plot(pop_tot_1960_2018.index,\n",
    "              pop_tot_1960_2018[col],\n",
    "              label=col,\n",
    "              color='gray',\n",
    "              alpha=0.2)\n",
    "\n",
    "pop_cn, = ax22.plot(pop_tot_1960_2018.index,\n",
    "                     pop_tot_1960_2018['China'],\n",
    "                     color='royalblue',\n",
    "                     linewidth=2)\n",
    "pop_us, = ax22.plot(pop_tot_1960_2018.index,\n",
    "                     pop_tot_1960_2018['United States'],\n",
    "                     color='cadetblue',\n",
    "                     linewidth=2)\n",
    "pop_in, = ax22.plot(pop_tot_1960_2018.index,\n",
    "                     pop_tot_1960_2018['India'],\n",
    "                     color='turquoise',\n",
    "                     linewidth=2)\n",
    "    \n",
    "pop_qa, = ax22.plot(pop_tot_1960_2018.index,\n",
    "                     pop_tot_1960_2018['Qatar'],\n",
    "                     color='blueviolet', # purple\n",
    "                     linewidth=2)\n",
    "pop_cw, = ax22.plot(pop_tot_1960_2018.index,\n",
    "                     pop_tot_1960_2018['Curacao'],\n",
    "                     color='mediumvioletred',\n",
    "                     linewidth=2)\n",
    "pop_tt, = ax22.plot(pop_tot_1960_2018.index,\n",
    "                     pop_tot_1960_2018['Trinidad and Tobago'],\n",
    "                     color='salmon',\n",
    "                     linewidth=2)\n",
    "\n",
    "ax22.set_xlabel('Year', size=13)\n",
    "ax22.set_ylabel('Total population (* 1e9)', size=13)\n",
    "ax22.yaxis.set_major_formatter(FORMATTER_BILLIONS_1DEC)\n",
    "ax22.spines['top'].set_visible(False)\n",
    "ax22.grid(alpha=0.3, axis='x')\n",
    "\n",
    "\n",
    "plt.subplots_adjust(hspace=0.25, wspace=0.3, top=0.95,\n",
    "                    bottom=0.04, left=0.05, right=0.95)\n",
    "plt.show()\n",
    "# plt.savefig('co2-emission.png', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The concentration of carbon dioxide has risen due to human activities. Combustion of fossil fuels and deforestation have caused the atmospheric concentration of carbon dioxide to increase by about 43% since the beginning of the age of industrialization. Most carbon dioxide from human activities is released from burning coal and other fossil fuels. Other human activities, including deforestation, biomass burning, and cement production also produce carbon dioxide. Human activities emit about 29 billion tons of carbon dioxide per year, while volcanoes emit between 0.2 and 0.3 billion tons. Human activities have caused CO2 to increase above levels not seen in hundreds of thousands of years. Currently, about half of the carbon dioxide released from the burning of fossil fuels remains in the atmosphere and is not absorbed by vegetation and the oceans.\n",
    "\n",
    "According to the graphs above, the world's CO2 emission increases 285% from 1960 to 2014, especially after 2000, it increases 46%. The top 3 countries in 2014 are China, United States and India. For United States and India, their emissions increased gently; on the contrary, China's CO2 emission exceeded United States and became the country whose CO2 emission is more than others. Between 2000 and 2014, China's CO2 emission increases 200%, which corresponds the world's emission curve.\n",
    "\n",
    "Moreover, the world's CO2 emission per capita increases 61% from 1960 to 2014, especially after 2000, it increases 22%. Similarly, I find out the top 3 countries are Qatar, Curacao and Trinidad and Tobago. Considering the population per country, we observe that these 3 countries have pretty small population, so it's not difficult to understand why their CO2 emission per capita are more than other countries'.\n",
    "\n",
    "(Yes, I only find data until 2014, it's really a pity, if you have found open source data for recent years, it's welcome!!)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas as gpd\n",
    "\n",
    "assert 'naturalearth_lowres' in gpd.datasets.available\n",
    "datapath = gpd.datasets.get_path('naturalearth_lowres')\n",
    "gdf = gpd.read_file(datapath)\n",
    "gdf.rename(columns={'name':'Country'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf['Country'] = gdf['Country'].replace({'United States of America':'United States',\n",
    "                                         'Bosnia and Herz.':'Bosnia and Herzegovina',\n",
    "                                         'Central African Rep.':'Central African Republic',\n",
    "                                         'Congo':'Congo, Rep.',\n",
    "                                         'Dem. Rep. Congo':'Congo, Dem. Rep.',\n",
    "                                         'Dominican Rep.':'Dominican Republic',\n",
    "                                         'Egypt':'Egypt, Arab Rep.',\n",
    "                                         'Iran':'Iran, Islamic Rep.',\n",
    "                                         'Kyrgyzstan':'Kyrgyz Republic',\n",
    "                                         'Russia':'Russian Federation',\n",
    "                                         'Solomon Is.':'Solomon Islands',\n",
    "                                         'Brunei':'Brunei Darussalam',\n",
    "                                         'Czechia':'Czech Republic',\n",
    "                                         'Eq. Guinea':'Equatorial Guinea',\n",
    "                                         'S. Sudan':'South Sudan',\n",
    "                                         'Slovakia':'Slovak Republic',\n",
    "                                         'Syrian Arab Republic':'Syria',\n",
    "                                         'Venezuela':'Venezuela, RB',\n",
    "                                         'Yemen':'Yemen, Rep.',\n",
    "                                         'eSwatini':'Eswatini'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/pandas/core/frame.py:3781: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  return super(DataFrame, self).rename(**kwargs)\n"
     ]
    }
   ],
   "source": [
    "co2_kt_pos.rename(columns={'Bahamas, The':'Bahamas',\n",
    "                           'Cote d\\'Ivoire':'Côte d\\'Ivoire',\n",
    "                           'Gambia, The':'Gambia',\n",
    "                           'Korea, Dem. People’s Rep.':'North Korea',\n",
    "                           'Korea, Rep.':'South Korea',\n",
    "                           'Lao PDR':'Laos',\n",
    "                           'North Macedonia':'Macedonia'}, inplace=True)\n",
    "co2_kt_hist = co2_kt_pos.drop(columns=not_ctry_list).stack().reset_index().rename(columns={'level_0':'Date',\n",
    "                                                                                           'Country Name':'Country',\n",
    "                                                                                           0:'CO2_kt'})\n",
    "\n",
    "co2_kt_hist = pd.merge(co2_kt_hist, gdf[['Country']], on='Country')\n",
    "co2_kt_hist.sort_values(['Country', 'Date'], inplace=True)\n",
    "co2_kt_hist.reset_index(drop=True, inplace=True)\n",
    "# take only history after 2001\n",
    "co2_kt_hist = co2_kt_hist[co2_kt_hist.Date > '2001-01-01'].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf_co2_hist = pd.merge(gdf, co2_kt_hist[['Country']], on='Country')\n",
    "gdf_co2_hist.drop_duplicates(subset=['pop_est', 'continent', 'Country', 'iso_a3', 'gdp_md_est'], inplace=True)\n",
    "gdf_co2_hist = gdf_co2_hist.sort_values('Country').reset_index(drop=True)\n",
    "gdf_co2_hist = gdf_co2_hist[['Country', 'gdp_md_est', 'geometry']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# co2_kt_hist.Country[co2_kt_hist.Country.isin(gdf.Country)==False].sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# gdf.Country[gdf.Country.isin(co2_kt_hist.Country)==False].sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "datetime_index = pd.DatetimeIndex(co2_kt_hist['Date'].unique())\n",
    "\n",
    "dt_index_epochs = datetime_index.astype(int) // 10**9\n",
    "dt_index = np.array(dt_index_epochs).astype('U10')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "styledata = {}\n",
    "\n",
    "s = 0\n",
    "e = 13 # 55\n",
    "for i in gdf_co2_hist.index:\n",
    "    df = pd.DataFrame(\n",
    "        {'color': np.array(co2_kt_hist.CO2_kt[s:e]),\n",
    "         'opacity': np.array([1] * 13)}, #55\n",
    "        index=dt_index\n",
    "    )\n",
    "    styledata[i] = df\n",
    "    s += 13 # 55\n",
    "    e += 13 # 55\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "max_color = max(co2_kt_hist['CO2_kt'])\n",
    "min_color = min(co2_kt_hist['CO2_kt'])\n",
    "max_opacity, min_opacity = 1, 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "import branca.colormap as cm\n",
    "\n",
    "cmap = cm.LinearColormap(\n",
    "    ['#f3e79b', '#fab27f', '#eb7f86', '#b95e9a', '#5c53a5'],\n",
    "    vmin=min_color, vmax=max_color\n",
    ")\n",
    "\n",
    "def norm(x):\n",
    "    return (x - x.min()) / (x.max() - x.min())\n",
    "\n",
    "for i, data in styledata.items():\n",
    "    data['color'] = data['color'].map(cmap)\n",
    "    data['opacity'] = 1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "<branca.colormap.LinearColormap at 0x124f2da20>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "styledict = {\n",
    "    str(ctry): data.to_dict(orient='index') for ctry, data in styledata.items()\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "import folium\n",
    "from folium.plugins import TimeSliderChoropleth\n",
    "\n",
    "co2_kt_hist_map = folium.Map(location=[0, 0], zoom_start = 1.5, tiles='cartodbpositron')# cartodbpositron, Stamen Toner\n",
    "\n",
    "TimeSliderChoropleth(\n",
    "    gdf_co2_hist.to_json(),\n",
    "    styledict=styledict\n",
    ").add_to(co2_kt_hist_map)\n",
    "\n",
    "co2_kt_hist_map\n",
    "# co2_kt_hist_map.save('co2_kt_hist_map.html')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Although we lack data of some countries or regions, we can still find that the CO2 emission doesn't change a lot for almost countries or regions and their CO2 emission is not that much in general; except for China, United States and India, which correspond to the line charts above.\n",
    "\n",
    "### China\n",
    "<https://en.wikipedia.org/wiki/China#Environmental_issues><br>\n",
    "In recent decades, China has suffered from severe environmental deterioration and pollution. While regulations such as the 1979 Environmental Protection Law are fairly stringent, they are poorly enforced, as they are frequently disregarded by local communities and government officials in favor of rapid economic development. Urban air pollution is a severe health issue in the country; the World Bank estimated in 2013 that 16 of the world's 20 most-polluted cities are located in China. And China is the country with the highest death toll because of air pollution. There are 1.14 million deaths caused by exposure to ambient air pollution. China is the world's largest carbon dioxide emitter. The country also has significant water pollution problems: 40% of China's rivers had been polluted by industrial and agricultural waste by late 2011. In 2014, the internal freshwater resources per capita of China reduced to 2,062m3, and it was below 500m3 in the North China Plain, while 5,920m3 in the world.\n",
    "\n",
    "However, China is the world's leading investor in renewable energy and its commercialization, with \\\\$52 billion invested in 2011 alone; it is a major manufacturer of renewable energy technologies and invests heavily in local-scale renewable energy projects. By 2015, over 24% of China's energy was derived from renewable sources, while most notably from hydroelectric power: a total installed capacity of 197 GW makes China the largest hydroelectric power producer in the world. China also has the largest power capacity of installed solar photovoltaics system and wind power system in the world. In 2011, the Chinese government announced plans to invest four trillion yuan (US\\\\$619 billion) in water infrastructure and desalination projects over a ten-year period, and to complete construction of a flood prevention and anti-drought system by 2020. In 2013, China began a five-year, US\\\\$277 billion effort to reduce air pollution, particularly in the north of the country.\n",
    "\n",
    "### United States\n",
    "<https://www.worldatlas.com/articles/us-states-by-carbon-dioxide-emissions-per-capita.html><br>\n",
    "The United States is the second largest contributor of carbon dioxide in the world, releasing nearly 15% of global emissions. US residents emit approximately 16.5 metric tons of carbon dioxide per capita every year.\n",
    "\n",
    "The states like Wyoming, North Dakota and West Virginia produce high level of CO2 emission. Wyoming is the second largest producer of electricity in the country and it has a high energy intensity rating, which means it has a high amount of energy consumed per gross domestic product. These factors work together to give Wyoming the highest per capita carbon dioxide emission rate in the country. North Dakota also has a high energy intensity rating, and it experiences extremely cold winters, which creates an increased demand for heating and energy. For West Virginia, one of the factors contributing to this high rate is the state's reliance on fossil fuels to produce energy. Approximately 98% of its energy comes from the following fossil fuels: coal (77%), natural gas (12.8%), and oil (8.6%)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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