{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Paris Agreement: Entry Into Force" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "plt.style.use(\"ggplot\")\n", "from pandas_datapackage_reader import read_datapackage\n", "from countrygroups import EUROPEAN_UNION" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Reading in the [Data Package](https://github.com/openclimatedata/paris-agreement-entry-into-force) with ratification status of the Paris Agreement." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "parties = read_datapackage(\"https://github.com/openclimatedata/paris-agreement-entry-into-force\")" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
NameSignatureRatification-Acceptance-ApprovalKindDate-Of-EffectEmissionsPercentageYear
Code
AFGAfghanistan2016-04-222017-02-15Ratification2017-03-17193280.052005
ALBAlbania2016-04-222016-09-21Ratification2016-11-0467170.022000
DZAAlgeria2016-04-222016-10-20Ratification2016-11-191110230.302000
ANDAndorra2016-04-222017-03-24Ratification2017-04-235220.002011
AGOAngola2016-04-22NaTNaNNaT616110.172005
\n", "
" ], "text/plain": [ " Name Signature Ratification-Acceptance-Approval Kind \\\n", "Code \n", "AFG Afghanistan 2016-04-22 2017-02-15 Ratification \n", "ALB Albania 2016-04-22 2016-09-21 Ratification \n", "DZA Algeria 2016-04-22 2016-10-20 Ratification \n", "AND Andorra 2016-04-22 2017-03-24 Ratification \n", "AGO Angola 2016-04-22 NaT NaN \n", "\n", " Date-Of-Effect Emissions Percentage Year \n", "Code \n", "AFG 2017-03-17 19328 0.05 2005 \n", "ALB 2016-11-04 6717 0.02 2000 \n", "DZA 2016-11-19 111023 0.30 2000 \n", "AND 2017-04-23 522 0.00 2011 \n", "AGO NaT 61611 0.17 2005 " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "parties.head()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Name 197\n", "Signature 195\n", "Ratification-Acceptance-Approval 160\n", "Kind 160\n", "Date-Of-Effect 160\n", "Emissions 191\n", "Percentage 191\n", "Year 191\n", "dtype: int64" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "parties.count()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The European Union is contained both as a block and as single parties so let's look at EU parties only." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['AUT', 'BEL', 'BGR', 'CYP', 'CZE', 'DEU', 'DNK', 'ESP', 'EST', 'FIN', 'FRA', 'GBR', 'GRC', 'HRV', 'HUN', 'IRL', 'ITA', 'LTU', 'LUX', 'LVA', 'MLT', 'NLD', 'POL', 'PRT', 'ROU', 'SVK', 'SVN', 'SWE']\n" ] } ], "source": [ "print(EUROPEAN_UNION)\n", "assert(len(EUROPEAN_UNION) == 28)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Name European Union\n", "Signature 2016-04-22 00:00:00\n", "Ratification-Acceptance-Approval 2016-10-05 00:00:00\n", "Kind Ratification\n", "Date-Of-Effect 2016-11-04 00:00:00\n", "Emissions 4.4884e+06\n", "Percentage 12.1\n", "Year 2013\n", "Name: EUU, dtype: object" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "parties.loc[\"EUU\"]" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
NameSignatureRatification-Acceptance-ApprovalKindDate-Of-EffectEmissionsPercentageYear
Code
AUTAustria2016-04-222016-10-05Ratification2016-11-04795990.212013
BELBelgium2016-04-222017-04-06Ratification2017-05-061194240.322013
BGRBulgaria2016-04-222016-11-29Ratification2016-12-29558930.152013
CYPCyprus2016-04-222017-01-04Ratification2017-02-0383190.022013
CZECzechia2016-04-22NaTNaNNaT1271440.342013
DEUGermany2016-04-222016-10-05Ratification2016-11-049506732.562013
DNKDenmark2016-04-222016-11-01Approval2016-12-01560010.152013
ESPSpain2016-04-222017-01-12Ratification2017-02-113220030.872013
ESTEstonia2016-04-222016-11-04Ratification2016-12-04217410.062013
FINFinland2016-04-222016-11-14Ratification2016-12-14629890.172013
FRAFrance2016-04-222016-10-05Ratification2016-11-044967611.342013
GBRUnited Kingdom of Great Britain and Northern I...2016-04-222016-11-18Ratification2016-12-185756961.552013
GRCGreece2016-04-222016-10-14Ratification2016-11-131051110.282013
HRVCroatia2016-04-222017-05-24Ratification2017-06-23244930.072013
HUNHungary2016-04-222016-10-05Ratification2016-11-04574280.152013
IRLIreland2016-04-222016-11-04Ratification2016-12-04587550.162013
ITAItaly2016-04-222016-11-11Ratification2016-12-114372681.182013
LTULithuania2016-04-222017-02-02Ratification2017-03-04199460.052013
LUXLuxembourg2016-04-222016-11-04Ratification2016-12-04111420.032013
LVALatvia2016-04-222017-03-16Ratification2017-04-15109140.032013
MLTMalta2016-04-222016-10-05Ratification2016-11-0427880.012013
NLDNetherlands2016-04-222017-07-28Acceptance2017-08-271958070.532013
POLPoland2016-04-222016-10-07Ratification2016-11-063948921.062013
PRTPortugal2016-04-222016-10-05Ratification2016-11-04650710.182013
ROURomania2016-04-222017-06-01Ratification2017-07-011109280.302013
SVKSlovakia2016-04-222016-10-05Ratification2016-11-04436790.122013
SVNSlovenia2016-04-222016-12-16Ratification2017-01-15181660.052013
SWESweden2016-04-222016-10-13Ratification2016-11-12557740.152013
\n", "
" ], "text/plain": [ " Name Signature \\\n", "Code \n", "AUT Austria 2016-04-22 \n", "BEL Belgium 2016-04-22 \n", "BGR Bulgaria 2016-04-22 \n", "CYP Cyprus 2016-04-22 \n", "CZE Czechia 2016-04-22 \n", "DEU Germany 2016-04-22 \n", "DNK Denmark 2016-04-22 \n", "ESP Spain 2016-04-22 \n", "EST Estonia 2016-04-22 \n", "FIN Finland 2016-04-22 \n", "FRA France 2016-04-22 \n", "GBR United Kingdom of Great Britain and Northern I... 2016-04-22 \n", "GRC Greece 2016-04-22 \n", "HRV Croatia 2016-04-22 \n", "HUN Hungary 2016-04-22 \n", "IRL Ireland 2016-04-22 \n", "ITA Italy 2016-04-22 \n", "LTU Lithuania 2016-04-22 \n", "LUX Luxembourg 2016-04-22 \n", "LVA Latvia 2016-04-22 \n", "MLT Malta 2016-04-22 \n", "NLD Netherlands 2016-04-22 \n", "POL Poland 2016-04-22 \n", "PRT Portugal 2016-04-22 \n", "ROU Romania 2016-04-22 \n", "SVK Slovakia 2016-04-22 \n", "SVN Slovenia 2016-04-22 \n", "SWE Sweden 2016-04-22 \n", "\n", " Ratification-Acceptance-Approval Kind Date-Of-Effect Emissions \\\n", "Code \n", "AUT 2016-10-05 Ratification 2016-11-04 79599 \n", "BEL 2017-04-06 Ratification 2017-05-06 119424 \n", "BGR 2016-11-29 Ratification 2016-12-29 55893 \n", "CYP 2017-01-04 Ratification 2017-02-03 8319 \n", "CZE NaT NaN NaT 127144 \n", "DEU 2016-10-05 Ratification 2016-11-04 950673 \n", "DNK 2016-11-01 Approval 2016-12-01 56001 \n", "ESP 2017-01-12 Ratification 2017-02-11 322003 \n", "EST 2016-11-04 Ratification 2016-12-04 21741 \n", "FIN 2016-11-14 Ratification 2016-12-14 62989 \n", "FRA 2016-10-05 Ratification 2016-11-04 496761 \n", "GBR 2016-11-18 Ratification 2016-12-18 575696 \n", "GRC 2016-10-14 Ratification 2016-11-13 105111 \n", "HRV 2017-05-24 Ratification 2017-06-23 24493 \n", "HUN 2016-10-05 Ratification 2016-11-04 57428 \n", "IRL 2016-11-04 Ratification 2016-12-04 58755 \n", "ITA 2016-11-11 Ratification 2016-12-11 437268 \n", "LTU 2017-02-02 Ratification 2017-03-04 19946 \n", "LUX 2016-11-04 Ratification 2016-12-04 11142 \n", "LVA 2017-03-16 Ratification 2017-04-15 10914 \n", "MLT 2016-10-05 Ratification 2016-11-04 2788 \n", "NLD 2017-07-28 Acceptance 2017-08-27 195807 \n", "POL 2016-10-07 Ratification 2016-11-06 394892 \n", "PRT 2016-10-05 Ratification 2016-11-04 65071 \n", "ROU 2017-06-01 Ratification 2017-07-01 110928 \n", "SVK 2016-10-05 Ratification 2016-11-04 43679 \n", "SVN 2016-12-16 Ratification 2017-01-15 18166 \n", "SWE 2016-10-13 Ratification 2016-11-12 55774 \n", "\n", " Percentage Year \n", "Code \n", "AUT 0.21 2013 \n", "BEL 0.32 2013 \n", "BGR 0.15 2013 \n", "CYP 0.02 2013 \n", "CZE 0.34 2013 \n", "DEU 2.56 2013 \n", "DNK 0.15 2013 \n", "ESP 0.87 2013 \n", "EST 0.06 2013 \n", "FIN 0.17 2013 \n", "FRA 1.34 2013 \n", "GBR 1.55 2013 \n", "GRC 0.28 2013 \n", "HRV 0.07 2013 \n", "HUN 0.15 2013 \n", "IRL 0.16 2013 \n", "ITA 1.18 2013 \n", "LTU 0.05 2013 \n", "LUX 0.03 2013 \n", "LVA 0.03 2013 \n", "MLT 0.01 2013 \n", "NLD 0.53 2013 \n", "POL 1.06 2013 \n", "PRT 0.18 2013 \n", "ROU 0.30 2013 \n", "SVK 0.12 2013 \n", "SVN 0.05 2013 \n", "SWE 0.15 2013 " ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "parties.loc[EUROPEAN_UNION]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For the emissions shares the last available data submitted to the UNFCCC was used." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABQoAAANFCAYAAAAzg8HbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAIABJREFUeJzs3XucVnWBx/HvwDBcZYBAuYhcNF7eEAHvorh4zTUXwrKV\nNUjHMLaLWZu5topaq1isbFmupiKYmOSqZFtqu2JmpgGWGbmhMhopGAiDFwRm4OwfvmbWcYbLwNjo\n+H6/XryW5zznOed3nuc5PezHcykpiqIIAAAAAPC+1qalBwAAAAAAtDyhEAAAAAAQCgEAAAAAoRAA\nAAAAiFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoBAAAAgAiFAAAAAECEQgB43zrmmGNSUlLSYuufNGlS\nSkpK8txzz9VNe+6551JSUpJJkya12LiSln9vmsvTTz+dcePGpXfv3ikpKUm3bt1adDwlJSU55phj\nWmz9jX3n3gk333xzSkpKcvPNN7+j6wEAaG6lLT0AAGDHvT1mlZWVpWvXrunfv39GjBiR8ePH54QT\nTkjbtm2bfd0DBw5Mknc8urwTJk2alFmzZqWysrJuO1qbTZs2ZezYsXnmmWdy5plnZvfdd0+HDh1a\nelgAALyLCYUA0ApccsklSd6MQ1VVVVm8eHFuueWW3HjjjTnooINy6623ZsiQIfVeM3v27Kxbt64l\nhpskueKKK/KVr3wl/fr1a7ExbElLvzfNobKyMn/4wx9yzjnn5Prrr2/p4bwr/LW+c+PGjcthhx2W\nPn36vKPrAQBobkIhALQCU6dObTDtpZdeymc/+9n88Ic/zHHHHZeFCxdm1113rXt+jz32+CuOsKE+\nffq8a0NKS783zeHFF19MkvTt27eFR/Lu8df6zpWXl6e8vPwdXw8AQHNzjUIAaKV22223/OAHP8gx\nxxyTZcuW5V//9V/rPd/YdfiKosisWbNyxBFHpFevXunQoUP69++fE088MbfffnuS5MEHH0xJSUme\nf/75PP/88ykpKan789ZrC9Zej27FihWpqKhIv3790rZt27rrtm3renH/+7//m7Fjx6ZHjx7p3Llz\nRo0alfvvv7/BfFOnTk1JSUkefPDBBs81ds3DkpKSzJo1K0kyaNCgurG/9RTkLV2jcPPmzfmP//iP\nHHzwwenSpUs6d+6cgw8+ONdee202b97cYP7a92DVqlX51Kc+lT59+qR9+/bZb7/9MnPmzEa3e2sW\nLVqU8ePHZ9ddd0379u0zYMCATJkyJcuXL2+w3tGjRydJLr300rptbCwov92PfvSjHHvssXVj7du3\nb0aPHp3vfve79eYbOHDgFk/b3tpnkrwZMc8888zsuuuu6dixY0aOHJk5c+Y0mK/2uzZ16tQsXLgw\nJ510UsrLy9O9e/eMHz8+y5YtS5IsXbo0H//4x9OrV6907Ngxf/M3f5MnnniiwfK29J3b3m1eunRp\nPvWpT2WvvfZKx44d06NHjwwdOjTnnntuXn755br5tnaNwu39DN8+3uuuuy5Dhw5Nhw4dsttuu+VT\nn/pU1q5d2+j7+3YXXnhhve99Y2MqKSnJKaecUm/6unXrcsUVV+TAAw9M586d06VLlxx++OG57bbb\nGixj48aNueaaa3LyySdnwIABad++fXr06JHjjjsuP/3pTxtdb+136JVXXsn555+fgQMHpl27dnXf\n01dffTWXX3559t9//3Tt2jW77LJL9txzz5x++ulZtGjRdm07ANA0jigEgFasTZs2+epXv5oHH3ww\nt912W66++uqt3qTjoosuyhVXXJFBgwblYx/7WMrLy7N8+fIsWLAgP/zhD3P66adn4MCBueSSSzJj\nxowkyXnnnVf3+gMPPLDe8lavXp3DDjssXbp0yUc+8pG0adMmu+222zbHXVlZmcMPPzxDhw7N5MmT\ns3z58tx+++350Ic+lDlz5uT000/fwXfkzdO077777jzxxBP5/Oc/X3eDj+250ceZZ56ZOXPmpH//\n/qmoqEhJSUnuuuuuTJkyJQ8//HBuvfXWBq+pqqrKkUcembKyspx22mnZsGFDfvjDH+ass85KmzZt\nMnHixO0a949//OOMHz8+RVHktNNOy4ABA7Jo0aJce+21mTdvXh5++OEMGjSobhufe+65zJo1K6NH\nj667gci2biRy/fXXZ/Lkyendu3c+/OEPp2fPnvnLX/6S3/3ud5k5c2amTJmyXWPdmjVr1uSII45I\nt27d8slPfjJVVVWZO3duJkyYkBdeeCH/9E//1OA1CxYsyLRp0zJ69Oicc845efLJJ3PnnXfm97//\nfebNm5dRo0Zl7733zic+8Yk8//zzufPOO3P88cdn6dKl6dKlS7Ns8/Lly3PwwQfnlVdeycknn5zx\n48dn/fr1qayszC233JLPfOYz+cAHPrDVdTXlM3yrL3/5y7nvvvvy4Q9/OCeccELmz5+f733ve3nm\nmWfywAMPbPM9nzx5cq666qpcf/31jX7frrvuuiTJueeeWzetqqoqY8aMyW9+85uMGDEiZ511VjZv\n3pz77rsvZ5xxRhYvXpyvfe1rdfOvXr06n//853PEEUfk+OOPT69evbJ8+fLcc889Ofnkk/O9730v\nFRUVDda9cePGjBkzJqtXr84JJ5yQrl27ZtCgQSmKIieddFIeeeSRHH744amoqEhpaWn+/Oc/Z/78\n+TnqqKMycuTIbW47ANBEBQDwnpWk2NbP+fr164vS0tIiSbF06dK66aNHj27w2h49ehT9+vUrXn/9\n9QbLWblyZb3HAwYMKAYMGLDNsZ155plFdXV1g+cnTpxYJCkqKyvrplVWVta97ktf+lK9+RcsWFCU\nlpYW3bp1K9auXVs3/ZJLLimSFPPnz2+wjtrlTZw4cZvrfqvG3ps5c+YUSYrhw4cXr776at301157\nrRg5cmSRpLj11lsbfQ/OPvvsoqampm764sWLi7Zt2xb77LNPo+t/u1dffbXo0aNH0aZNm+Khhx6q\n99yVV15ZJCmOP/74etPnz59fJCkuueSS7VpHURTFiBEjirKysuKll15q8FxTPv8tfSa178dHP/rR\nYtOmTXXTly5dWnTv3r1o165d8eyzzzbYhiTF97///XrLOuuss4okRffu3Yuvfe1r9Z677LLLiiTF\njBkz6k1v7HPf3m3+1re+1egyi+LN78C6devqHs+cObNIUsycObNu2o58hrXj7d+/f/H888/XTa+u\nri6OOuqoIknx2GOPNRhPY/72b/+2SFI8+eST9aa/8sorRZcuXYr+/fvX+47WrnvatGn15n/jjTeK\nE088sSgpKSl+85vf1E1fv359sWzZsgbrraqqKvbbb7+ie/fu9d6jonjzO5SkOPbYY4vXXnut3nO/\n+93viiTF2LFjGyxz06ZNxerVq7druwGApnHqMQC0cu3bt6870mnlypXbnL9du3aN3iW5Z8+eTV53\nWVlZvvnNb6a0tGknMZSXl+fiiy+uN+2ggw7KhAkTUlVVlbvuuqvJY9lZN910U5LkyiuvrHeUWufO\nnTNt2rQkyQ033NDgdZ06dcq//du/1XtP99133xx55JF56qmn8tprr21z3fPmzcvq1atz+umn56ij\njqr33Be/+MUMHDgwP/vZz/KnP/1ph7btrUpLS9OuXbsG03fk829M27ZtM23atLRp8///DB00aFA+\n97nPpbq6OrfcckuD14waNSoTJkyoN632yLjy8vJ85StfqffcJz7xiSTJb3/72+0aU1O2uWPHjg2m\nde7cudHpb7Uzn+HFF19c77qZpaWl+eQnP5kk+fWvf73V9db69Kc/neT/jx6sNWfOnLz22mupqKio\n+46+/PLL+f73v5+DDjooX/7yl+vN36FDh0ybNi1FUdQ7Xbx9+/bZfffdG6y3vLw8Z511VtasWZMF\nCxY0Orbp06enc+fOjT7X2Pvapk2bdO/efStbCwDsKKEQAN4HiqJIkq2edpwkEyZMyHPPPZd99903\nF154Ye69997tvg5aYwYOHFjvBirba8SIEdlll10aTK89dfY3v/nNDo9pRz3++ONp06ZNo6fvjh49\nOm3btm10XB/84AfTtWvXBtP79++f5M1Tcbdn3UkyZsyYBs+Vlpbm6KOPTrLz78uECROybt267Lvv\nvvnCF76Qu+++e7viclPssccejZ5eu7XP9qCDDmowrfYmLQceeGCDsF17V+M///nP2xzP9m7zqaee\nmi5duuQf//EfM378+Fx//fVZvHhx3b61LTvzGTa2/U35/iTJhz70oQwaNCi33HJLvTt6X3/99Skt\nLa13WvCCBQuyadOmuutDvv3P3LlzkyRPPfVUvXUsXrw4kyZNyuDBg9OxY8e6a2N+8YtfTJK88MIL\nDcbVoUOHHHDAAQ2m77vvvjnwwANz22235cgjj8xVV12VRx55JBs3btyu7QUAdoxrFAJAK7d+/fqs\nXr06SdKrV6+tznv11Vdn8ODBmTlzZq688spceeWVKS0tzcknn5zp06dnr732atK6e/fuvUNj3tJ1\nDGuXtzPxcketXbs2PXr0SFlZWYPnSktL665t93ZbuvZh7VGWmzZt2q51J9niHXtrp1dVVW1zWVtz\n/vnnp2fPnvnud7+bb33rW5kxY0bdjVG+8Y1vNBqsmmpHPtvG7iBc+/5t7bnq6uptjmd7t3nAgAH5\n9a9/nalTp+bee+/NnXfemeTNYPelL30pn/vc57a6np35DBv7DjXl+5O8eRTe5MmT85WvfCW33357\nPvnJT2bRokV5/PHHM3bs2Hp3x669McuCBQu2eBRgknpHwz766KMZM2ZMampqcuyxx+bUU09N165d\n06ZNm/z2t7/NvHnzsmHDhgbL2HXXXRv9Dxht27bNAw88kMsuuyx33HFHLrjggiTJLrvskokTJ+aK\nK67Y5vUnAYCmc0QhALRyDz/8cGpqarLbbrtt8S61tdq2bZvzzjsvTzzxRF566aX853/+Z8aNG5cf\n/ehHOemkkxr9f/S3ZltHMG7JSy+91Oj0FStWJKkfh2pPYa2pqWkw/86Gs7cqLy/P6tWrG41PNTU1\nWbVqVaNHDjbXupP/3/63q71jbmPRrKk+8YlP5NFHH83LL7+c//qv/8rZZ5+dhx56KCeeeGK9I+3a\ntGnT6HuebP19b8pn+9eyvdu8zz775Pbbb8/LL7+chQsX5sorr8zmzZvz+c9/PjfeeONW1/HX/Ay3\n5Kyzzkr79u3rTj+u/b+TJ0+uN1/tGL7whS+kKIot/pk/f37da772ta/ljTfeyP3335+f/vSnmTFj\nRi677LJMnTo1hx566BbHtLX/jejevXuuvvrqLFu2LE8//XRuuOGG7L333rnmmmvqTqUGAJqXUAgA\nrdjmzZvz9a9/PUlyxhlnNOm1u+66az7ykY9k7ty5GTNmTJ599tn8/ve/r3u+bdu22300U1M9/vjj\nefXVVxtMf/DBB5Mkw4cPr5tWe62yZcuWNZh/4cKFjS6/9lTVpox/+PDh2bx5cx566KEGzz300EPZ\ntGlTRowYsd3La4ra7a3d/reqqanJL37xiyRp1vV369at7m61kyZNyurVq+tte/fu3fPSSy81Gk63\n9L4nyZ/+9Kc899xzDaY39tn+tW1rm2uVlpZm5MiRueCCC3LbbbclSe6+++6tLrslPsO369WrV047\n7bQ89thj+eUvf5nbbrstgwYNygknnFBvvkMOOSRt2rSpG9P2eOaZZ9KjR49GT83/+c9/vrNDz157\n7ZWzzz47P//5z9OlS5fMmzdvp5cJADQkFAJAK/WXv/wlH//4x/Pggw9mjz32yD//8z9vdf4NGzbk\nl7/8ZYPp1dXVdacud+rUqW76Bz7wgaxcuTJvvPFG8w48b56medlll9WbtnDhwtx6660pLy/PuHHj\n6qYfcsghSZKZM2fWO8Jt2bJlDZbx1rEnadLNP84666wkyYUXXljvGm/r1q2ru5nG2Wefvd3La4qx\nY8emR48eue222/Loo4/We27GjBmprKzMcccdV++GFzti/vz5jV5zr/aU6rd+/occckhqamoyc+bM\nevPefPPNjX6Pam3atCkXXHBBNm/eXDetsrIy3/rWt1JaWpp/+Id/2KltaKrt3eZFixY1elp07RGS\nb31vGvPX+gy3pfZIvNNPPz2vvfZazjnnnHo3lkne/I8EEyZMyMKFC3P55Zc3GtSfffbZVFZW1j0e\nOHBgVq9end/97nf15rvxxhtz3333NXmclZWVWbp0aYPpa9asyYYNG7Z58xgAYMe4RiEAtAJTp05N\n8uYRhFVVVVm8eHEefvjhbNy4MYccckhuvfXWbd619o033sioUaOy1157ZeTIkRkwYEDWr1+fn/3s\nZ3nqqady6qmnZp999qmb/9hjj82CBQty0kkn5eijj0779u0zbNiwfPjDH97p7Tn66KNzww035LHH\nHsuRRx6Z5cuX5/bbb8/mzZtz3XXX1TvF99BDD83RRx+dhx56KIccckjGjBmTl156Kffcc09OPPHE\nRo80PPbYY/ONb3wj55xzTsaPH59ddtkl3bp1y2c+85ktjumMM87IvHnzMnfu3Oy3334ZO3ZsSkpK\ncvfdd6eysjKnn356gzvzNpcuXbrkpptuykc/+tGMHj06H/3oR7PHHntk0aJFuf/++9O7d+8Gd7Pd\nEePGjUuXLl1y2GGHZeDAgSmKIr/4xS+yYMGCjBw5Mscdd1zdvJ/97Gczc+bMfPrTn87//M//pH//\n/vntb3+bX/3qVznllFPy4x//uNF1HHDAAXnssccycuTInHDCCamqqsrcuXNTVVWVq666KnvuuedO\nb0dTbO8233LLLbnuuusyatSo7LnnnunevXueffbZ3HPPPWnfvn3OO++8ra7nr/UZbsuRRx6ZYcOG\n5Yknnki7du3qAvjbXXPNNXn66adz8cUX55ZbbsmoUaOy22675cUXX8xTTz2VBQsW1B2RmCTnnXde\n7rvvvowaNSof+9jHUl5enoULF+bhhx/OaaedljvuuKNJ43ziiSfykY98JAcffHD22Wef9O3bNytX\nrsy8efNSXV1dd81CAKCZFQDAe1aSen/KysqKD3zgA8WIESOKioqK4qc//WmxadOmRl87evTo4q3/\nFNi4cWMxbdq04qSTTir69+9ftG/fvujZs2dx6KGHFtdee22xYcOGeq9/7bXXinPPPbfo169f0bZt\n2yJJMXHixHpjGz169BbHPnHixCJJUVlZWTetsrKybjl/+MMfilNPPbXo1q1b0bFjx+KII44o7r33\n3kaXtWbNmqKioqLo1atXUVZWVuy3337FddddV295bzd9+vRi7733LsrKyookxYABA7b43tTatGlT\n8Z3vfKcYOXJk0bFjx6Jjx47FiBEjimuuuabR93lr70Fj278tv/71r4uxY8cWPXv2LNq1a1f079+/\nOPfcc4sXXnihwbzz588vkhSXXHLJdi//2muvLcaOHVsMGjSo6NixY9G9e/fiwAMPLKZNm1a88sor\nDeb/xS9+URx11FFFx44di1122aU4+eSTiyeeeKK45JJLiiTF/Pnz681f+3688MILxYQJE4pevXoV\n7du3L4YPH17ceuutTdqGrX22b13XWzX2nm/vNj/66KPFueeeWxxwwAFF9+7diw4dOhR77rlnMWnS\npOLJJ5+st56ZM2cWSYqZM2c2GFdTPsOtfUd25POtNWPGjCJJcdppp211vg0bNhTf/va3i8MPP7zo\n2rVrUVZWVvTv378YM2ZMcfXVVxerVq2qN/8999xTHHrooUWXLl2K8vLy4vjjjy9+/vOfb/H9GDBg\nQL397q2WLVtWXHjhhcURRxxR7LbbbkVZWVnRr1+/4qSTTip+8pOfNHmbAYDtU1IUjZxrAQAAtEqT\nJk3KrFmz8t///d859thjW3o4AMC7iFAIAADvE8uWLcsHP/jBDB48OIsXL97hO5MDAK2TaxQCAEAr\nN2fOnCxZsiQ/+MEPsmHDhlx++eUiIQDQgCMKAQCglTvmmGPy0EMPpX///vnCF76wzZuvAADvT0Ih\nAAAAAJA2LT0AAAAAAKDlCYUAAAAAgFAIAAAAAAiFAAAAAECS0pYewJasWbMmNTU1LT2Md0yvXr2y\ncuXKlh4G0Ezs09C62KehdbFPQ+tin4ZtKy0tTffu3Zv+undgLM2ipqYm1dXVLT2Md0RJSUmSN7fR\nTafhvc8+Da2LfRpaF/s0tC72aXhnOfUYAAAAABAKAQAAAAChEAAAAACIUAgAAAAARCgEAAAAACIU\nAgAAAAARCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAAAEQoBAAAAAAiFAIA\nAAAAEQoBAAAAgAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAAIhQCAAAA\nABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAAABChEAAAAACIUAgAAAAARCgEAAAAACIUAgAAAAAR\nCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAACQpLSlBwAAvD9tOufUlh7CFi3bwvS23/vRX3UcAADw\n1+SIQgAAAABAKAQAAAAAhEIAAAAAIEIhAAAAABChEAAAAACIUAgAAAAARCgEAAAAACIUAgAAAAAR\nCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoB\nAAAAgAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAAIhQCAAAAABEKAQAA\nAIAIhQAAAABAhEIAAAAAIEIhAAAAABChEAAAAACIUAgAAAAARCgEAAAAACIUAgAAAAARCgEAAACA\nCIUAAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoBAAAAgAiF\nAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAAIhQCAAAAABEKAQAAAIAIhQAA\nAABAhEIAAAAAIEIhAAAAABChEAAAAACIUAgAAAAARCgEAAAAACIUAgAAAAARCgEAAACACIUAAAAA\nQIRCAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoBAAAAgAiFAAAAAECE\nQgAAAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAAIhQCAAAAABEKAQAAAIAkpU2Zee7cubnj\njjvqTevbt29mzJiRJNm4cWNmz56dRx55JNXV1Rk2bFgqKirSrVu35hsxAAAAANDsmhQKk6R///75\nl3/5l7rHbdr8/0GJs2bNyuOPP57zzz8/nTp1yo033pjp06fn8ssvb57RAgAAAADviCafetymTZt0\n69at7k/Xrl2TJOvWrcsDDzyQiRMnZv/998/gwYMzZcqU/PGPf8ySJUuafeAAAAAAQPNp8hGFK1as\nyOTJk9OuXbsMGTIkZ5xxRnr27JmlS5dm06ZNGTp0aN28/fr1S8+ePbNkyZIMGTKkWQcOAAAAADSf\nJoXCD37wg5kyZUr69u2bNWvW5I477sjFF1+c6dOnp6qqKqWlpencuXO915SXl6eqqmqLy6yurk51\ndXXd45KSknTs2LHu761R7Xa11u2D9xv7NLx/2M/hvcfvNLQu9ml4ZzUpFA4fPrzu7wMGDKgLh7/6\n1a9SVla2QwO466676t0gZdCgQZk2bVp69eq1Q8t7L+ndu3dLDwFoRvZpaJplLT2AHdCnT5+WHgKw\ng/xOQ+tin4Z3RpNPPX6rzp07p2/fvlmxYkUOOOCA1NTU5PXXX693VOHatWu3etfjcePG5ZRTTql7\nXPtfBVauXJmampqdGd67VklJSXr37p0VK1akKIqWHg6wk+zT8P6xfPnylh4C0ER+p6F1sU/D9ikt\nLd2hg/B2KhSuX78+K1asyFFHHZXBgwenbdu2efLJJ3PYYYclSV588cWsWrVqq9cnbNeuXdq1a9fo\nc619py+KotVvI7yf2Keh9bOPw3uX32loXezT8M5oUiicPXt2DjrooPTs2TNr1qzJ3Llz06ZNm4wa\nNSqdOnXKmDFjMnv27HTp0iWdOnXKTTfdlCFDhriRCQAAAAC8yzUpFK5evTr//u//nldffTVdu3bN\n3nvvna9//evp2rVrkmTixIkpKSnJ9OnTU1NTk2HDhqWiouIdGTgAAAAA0HyaFArPO++8rT5fVlaW\niooKcRAAAAAA3mPatPQAAAAAAICWJxQCAAAAAEIhAAAAACAUAgAAAAARCgEAAACACIUAAAAAQIRC\nAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoBAAAAgAiFAAAAAECEQgAA\nAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAAIhQCAAAAABEKAQAAAIAIhQAAAABAhEIAAAAA\nIEIhAAAAABChEAAAAACIUAgAAAAARCgEAAAAACIUAgAAAAARCgEAAACACIUAAAAAQIRCAAAAACBC\nIQAAAAAQoRAAAAAAiFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoBAAAAgAiFAAAAAECEQgAAAAAgQiEA\nAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAAIhQCAAAAABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAA\nABChEAAAAACIUAgAAAAARCgEAAAAACIUAgAAAAARCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAAAQ\noRAAAAAAiFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoBAAAAgAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQ\nAAAAAIhQCAAAAABEKAQAAAAAIhQCAAAAABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAAABChEAAA\nAACIUAgAAAAARCgEAAAAACIUAgAAAAARCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAA\niFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoBAAAAgAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQ\nCAAAAACWoJcvAAAgAElEQVREKAQAAAAAIhQCAAAAABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAA\nABChEAAAAACIUAgAAAAAJClt6QEAAAAA8N626ZxTW3oITdb2ez9q6SG86ziiEAAAAAAQCgEAAAAA\noRAAAAAAiFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoBAAAAgAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQ\nAAAAAIhQCAAAAABEKAQAAAAAIhQCAAAAABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAAABChEAAA\nAACIUAgAAAAARCgEAAAAAJKU7syL77777syZMycnn3xyJk2alCTZuHFjZs+enUceeSTV1dUZNmxY\nKioq0q1bt+YYLwAAAADwDtjhIwqfeeaZ/OxnP8uAAQPqTZ81a1YWLVqU888/P5deemnWrFmT6dOn\n7/RAAQAAAIB3zg6FwvXr1+fb3/52Jk+enM6dO9dNX7duXR544IFMnDgx+++/fwYPHpwpU6bkj3/8\nY5YsWdJsgwYAAAAAmtcOnXp8ww03ZPjw4TnggANy55131k1funRpNm3alKFDh9ZN69evX3r27Jkl\nS5ZkyJAhDZZVXV2d6urqusclJSXp2LFj3d9bo9rtaq3bB+839ml4/7Cfw3uP32loXezTNCffo4aa\nHAp/+ctfprKyMldccUWD56qqqlJaWlrvKMMkKS8vT1VVVaPLu+uuu3LHHXfUPR40aFCmTZuWXr16\nNXVo7zm9e/du6SEAzcg+DU2zrKUHsAP69OnT0kMAdpDfaWhd7NPvPv5t1zo0KRSuWrUqN998c776\n1a+mrKysWQYwbty4nHLKKXWPa2vuypUrU1NT0yzreLcpKSlJ7969s2LFihRF0dLDAXaSfRreP5Yv\nX97SQwCayO80tC72aZpTa/63XWlp6Q4dhNekULh06dKsXbs2F1xwQd20zZs356mnnsq9996biy66\nKDU1NXn99dfrHVW4du3aLd71uF27dmnXrl2jz7X2nb4oila/jfB+Yp+G1s8+Du9dfqehdbFP0xx8\nhxpqUigcOnRovvnNb9abdu2116Zv3775u7/7u/Ts2TNt27bNk08+mcMOOyxJ8uKLL2bVqlWNXp8Q\nAAAAAHh3aFIo7NixY/bYY49609q3b59ddtmlbvqYMWMye/bsdOnSJZ06dcpNN92UIUOGCIUAAAAA\n8C62Q3c93pqJEyempKQk06dPT01NTYYNG5aKiormXg0AAAAA0Ix2OhROnTq13uOysrJUVFSIgwAA\nAADwHtKmpQcAAAAAALQ8oRAAAAAAEAoBAAAAAKEQAAAAAIhQCAAAAABEKAQAAAAAIhQCAAAAABEK\nAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAAABChEAAAAACIUAgAAAAARCgEAAAAACIUAgAAAAARCgEA\nAACACIUAAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoBAAAA\ngAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAAIhQCAAAAABEKAQAAAIAI\nhQAAAABAhEIAAAAAIEIhAAAAABChEAAAAACIUAgAAAAARCgEAAAAACIUAgAAAAARCgEAAACACIUA\nAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoBAAAAgAiFAAAA\nAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAAIhQCAAAAABEKAQAAAIAIhQAAAABA\nhEIAAAAAIEIhAAAAABChEAAAAACIUAgAAAAARCgEAAAAACIUAgAAAAARCgEAAACACIUAAAAAQIRC\nAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoBAAAAgAiFAAAAAECEQgAA\nAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAAIhQCAAAAABEKAQAAAIAIhQAAAABAhEIAAAAA\nIEIhAAAAABChEAAAAACIUAgAAAAARCgEAAAAACIUAgAAAAARCgEAAACACIUAAAAAQIRCAAAAACBC\nIQAAAAAQoRAAAAAAiFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoBAAAAgAiFAAAAAECEQgAAAAAgQiEA\nAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAAIhQCAAAAABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAA\nABChEAAAAACIUAgAAAAARCgEAAAAACIUAgAAAAARCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAAAQ\noRAAAAAAiFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoBAAAAgCSlTZn5/vvvz/3335+VK1cmSXbfffec\ndtppGT58eJJk48aNmT17dh555JFUV1dn2LBhqaioSLdu3Zp/5AAAAABAs2nSEYU9evTIGWeckSuv\nvDJXXHFF9t9//1x11VVZtmxZkmTWrFlZtGhRzj///Fx66aVZs2ZNpk+f/o4MHAAAAABoPk0KhQcd\ndFBGjBiRPn36pG/fvvn7v//7dOjQIU8//XTWrVuXBx54IBMnTsz++++fwYMHZ8qUKfnjH/+YJUuW\nvFPjBwAAAACaQZNOPX6rzZs351e/+lU2bNiQIUOGZOnSpdm0aVOGDh1aN0+/fv3Ss2fPLFmyJEOG\nDGl0OdXV1amurq57XFJSko4dO9b9vTWq3a7Wun3wfmOfhvcP+zm89/idhtbFPk1z8j1qqMmh8E9/\n+lMuuuiiVFdXp0OHDvnSl76U3XffPc8991xKS0vTuXPnevOXl5enqqpqi8u76667cscdd9Q9HjRo\nUKZNm5ZevXo1dWjvOb17927pIQDNyD4NTbOspQewA/r06dPSQwB2kN9paF3s0+8+/m3XOjQ5FPbt\n2zff+MY3sm7dujz66KP5zne+k0svvXSHBzBu3LiccsopdY9ra+7KlStTU1Ozw8t9NyspKUnv3r2z\nYsWKFEXR0sMBdpJ9Gt4/li9f3tJDAJrI7zS0LvZpmlNr/rddaWnpDh2E1+RQWFpaWlfuBw8enGef\nfTY/+clPcsQRR6Smpiavv/56vaMK165du9W7Hrdr1y7t2rVr9LnWvtMXRdHqtxHeT+zT0PrZx+G9\ny+80tC72aZqD71BDTbqZSWM2b96c6urqDB48OG3bts2TTz5Z99yLL76YVatWbfH6hAAAAADAu0OT\njiicM2dODjzwwPTs2TPr16/Pww8/nD/84Q+56KKL0qlTp4wZMyazZ89Oly5d0qlTp9x0000ZMmSI\nUAgAAAAA73JNCoVr167Nd77znaxZsyadOnXKgAEDctFFF+WAAw5IkkycODElJSWZPn16ampqMmzY\nsFRUVLwjAwcAAAAAmk+TQuGnP/3prT5fVlaWiooKcRAAAAAA3mN2+hqFAAAAAMB7n1AIAAAAAAiF\nAAAAAIBQCAAAAABEKAQAAAAAIhQCAAAAABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAAABChEAAA\nAACIUAgAAAAARCgEAAAAACIUAgAAAAARCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAA\niFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoBAAAAgAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQ\nCAAAAABEKAQAAAAAIhQCAAAAABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAAABChEAAAAACIUAgA\nAAAARCgEAAAAACIUAgAAAAARCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAA\nAEQoBAAAAAAiFAIAAAAAEQoBAAAAgAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABE\nKAQAAAAAIhQCAAAAABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAAABChEAAAAACIUAgAAAAARCgE\nAAAAACIUAsD/tXf3QVbW9f/HX4e9QW5allDiRkWIVh1FbCbTyVLUtDIy76DGnCwEZ5LKUsdmrAxM\nm3HKqelmnMJ1BLUbxhEF0yy7m0ksG7GUtSRFC1ASkl0Glpvd5fr94XC+bUC/Fs5y3N3HY8aBc52L\ncz6Xc97nsE+ucw4AAAARCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAAAEQo\nBAAAAAAiFAIAAAAAEQoBAAAAgAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQA\nAAAAIhQCAAAAABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAAABChEAAAAACIUAgAAAAARCgEAAAA\nACIUAgAAAAARCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAAAEQoBAAAAAAi\nFAIAAAAAEQoBAAAAgAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAAIhQC\nAAAAABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAAABChEAAAAACIUAgAAAAARCgEAAAAACIUAgAA\nAAARCgEAAACAJLXVXgAAAADQN3TNOa/aS8iaHu5fs2Bpr6wD+iNnFAIAAAAAQiEAAAAAIBQCAAAA\nABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAAABChEAAAAABIUtuTnZcsWZInnngi69atS319fZqa\nmnLppZdm3Lhx5X127tyZRYsWZfny5eno6MjUqVMze/bsNDY2VnzxAAAAAEBl9OiMwmeffTbve9/7\ncvPNN+dLX/pSurq6ctNNN2X79u3lfRYuXJgnn3wyV199debPn59Nmzbl1ltvrfjCAQAAAIDK6VEo\n/OIXv5hp06bliCOOyFFHHZW5c+dm48aNWb16dZKkvb09v/rVr3LZZZfl+OOPz6RJk3LllVfmueee\ny6pVq3rlAAAAAACAA9ejtx7/p/b29iTJ8OHDkySrV69OV1dXpkyZUt5n/PjxOfTQQ7Nq1ao0NTXt\ncRsdHR3p6OgoXy6VShkyZEj59/3R7uPqr8cHA42ZhoHDnEPf43UaMP/si8fGnvY7FO7atSt33nln\njj766Bx55JFJktbW1tTW1mbYsGHd9h0xYkRaW1v3ejtLlizJvffeW748ceLE3HLLLTnssMP2d2l9\nxpgxY6q9BKCCzDT0zJpqL2A/jB07ttpLAPaT12moDK/f7IvHRv+w36Gwubk5a9asyY033nhAC7jg\nggsyffr08uXdNXfDhg3p7Ow8oNt+oyqVShkzZkzWr1+foiiqvRzgAJlpGDheeeWVai8B6CGv04DX\nb/alPz82amtr9+skvP0Khc3NzVmxYkXmz5+fUaNGlbc3Njams7MzW7du7XZWYVtb2z6/9biuri51\ndXV7va6/v5AXRdHvjxEGEjMN/Z8Zh77L6zQMXGafffHY2FOPvsykKIo0NzfniSeeyA033JDRo0d3\nu37SpEmpqanJM888U9728ssvZ+PGjXv9fEIAAAAA4I2hR2cUNjc353e/+12uu+66DBkypPy5g0OH\nDk19fX2GDh2aM888M4sWLcrw4cMzdOjQ3HHHHWlqahIKAQAAAOANrEeh8Oc//3mSZN68ed22X3nl\nlZk2bVqS5LLLLkupVMqtt96azs7OTJ06NbNnz67IYgEAAACA3tGjULh48eL/7z719fWZPXu2OAgA\nAAAAfUiPPqMQAAAAAOifhEIAAAAAQCgEAAAAAIRCAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAAAEQo\nBAAAAAAiFAIAAAAAEQoBAAAAgAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQA\nAAAAIhQCAAAAABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAAABChEAAAAACIUAgAAAAARCgEAAAA\nACIUAgAAAAARCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAAAEQoBAAAAAAi\nFAIAAAAAEQoBAAAAgAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAAIhQC\nAAAAABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAAABChEAAAAABIUlvtBQB9X9ec86q9hB6rWbC0\n2ksAAHpof//OsabC6+gJf+cAoC9xRiEAAAAAIBQCAAAAAEIhAAAAABChEAAAAACIUAgAAAAARCgE\nAAAAACIUAgAAAAARCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAAAEQoBAAA\nAAAiFAIAAAAAEQoBAAAAgAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAA\nIhQCAAAAABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAAABChEAAAAACIUAgAAAAARCgEAAAAACIU\nAgAAAAARCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAAAEQoBAAAAAAiFAIA\nAAAAEQoBAAAAgAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAAIhQCAAAA\nABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAAABChEAAAAACIUAgAAAAARCgEAAAAACIUAgAAAAAR\nCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoB\nAAAAgAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAAIhQCAAAAABEKAQAA\nAIAIhQAAAABAktqe/oFnn302S5cuzYsvvphNmzbl2muvzTvf+c7y9UVRZPHixfnlL3+ZrVu35phj\njsns2bMzduzYii4cAAAAAKicHp9RuGPHjhx11FG5/PLL93r9Aw88kIcffjhz5szJ1772tQwePDg3\n33xzdu7cecCLBQAAAAB6R49D4dvf/vZ89KMf7XYW4W5FUeShhx7KhRdemJNOOikTJkzIpz/96Wza\ntCl//OMfK7JgAAAAAKDyevzW4//m1VdfTWtra0444YTytqFDh2by5MlZtWpVTj311D3+TEdHRzo6\nOsqXS6VShgwZUv59f7T7uPrr8UFfUMn5M9MwcJhzoKc8b0D1mUP2xWNjTxUNha2trUmSESNGdNs+\nYsSI8nX/acmSJbn33nvLlydOnJhbbrklhx12WCWX9oY0ZsyYai8BKmJNtRewH3rjc1PNNPSM5w6g\npzxvQPWZQ/bFY6N/qGgo3B8XXHBBpk+fXr68u+Zu2LAhnZ2d1VpWryqVShkzZkzWr1+foiiqvRwY\nkF555ZWK3ZaZhoGjks8dwMDgeQOqzxyyL/35sVFbW7tfJ+FVNBQ2NjYmSdra2jJy5Mjy9ra2thx1\n1FF7/TN1dXWpq6vb63X9/Qfuoij6/THCG1VvzJ6Zhv7PjAM95XkDqs8csi8eG3vq8ZeZ/DejR49O\nY2NjnnnmmfK29vb2PP/882lqaqrkXQEAAAAAFdTjMwq3b9+e9evXly+/+uqreemllzJ8+PAceuih\nOffcc3Pfffdl7NixGT16dH784x9n5MiROemkkyq6cAAAAACgcnocCl944YXMnz+/fHnRokVJktNP\nPz1z587Nhz/84ezYsSPf//73097enmOOOSbXX3996uvrK7dqAAAAAKCiehwKjzvuuCxevHif15dK\npXzkIx/JRz7ykQNaGAAAAABw8FT0MwoBAAAAgL5JKAQAAAAAhEIAAAAAQCgEAAAAACIUAgAAAAAR\nCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoB\nAAAAgAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAAktRWewEAAAD9Vdec\n86q9hB6rWbC02ksAoEqcUQgAAAAACIUAAAAAgFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoBAAAAgAiF\nAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAAktRWewEAAAAA/J+uOedVewkM\nUM4oBAAAAACEQgAAAABAKAQAAAAAIhQCAAAAABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAAABCh\nEAAAAACIUAgAAAAARCgEAAAAACIUAgAAAAARCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAAAQoRAA\nAAAAiFAIAAAAAEQoBAAAAAAiFAIAAAAAEQoBAAAAgAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQAAAA\nAEhSW+0FAAAAB1/XnPOqvQQA4A3GGYUAAAAAgFAIAAAAAAiFAAAAAECEQgAAAAAgQiEAAAAAEKEQ\nAAAAAIhQCAAAAABEKAQAAAAAIhQCAAAAABEKAQAAAIAIhQAAAABAhEIAAAAAIElttRcAAAAA0Fu6\n5pxX7SVAn+GMQgAAAABAKAQAAAAAhEIAAAAAIEIhAAAAABChEAAAAACIUAgAAAAARCgEAAAAACIU\nAgAAAAARCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAACQpLbaCxio1nzwHdVeQo/VLFha7SUAfUzX\nnPOqvYQe81wHwEDn9Rtg4HJGIQAAAAAgFAIAAAAAQiEAAAAAEKEQAAAAAIhQCAAAAABEKAQAAAAA\nIhQCAAAAABEKAQAAAIAIhQAAAABAhEIAAAAAIEIhAAAAABChEAAAAABIUlvtBQAAwL/rmnNetZfQ\nYzULllZ7CQAAB8wZhQAAAACAUAgAAAAACIUAAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAAiFAIAAAA\nAEQoBAAAAAAiFAIAAAAAEQoBAAAAgAiFAAAAAECEQgAAAAAgSW21FwBQDV1zzqvo7a2p6K3tXc2C\npQfhXqj0YwMYGDx3QHX11Rn09zvgjcYZhQAAAACAUAgAAAAACIUAAAAAQIRCAAAAACBCIQAAAAAQ\noRAAAAAAiFAIAAAAAEQoBAAAAACS1PbWDf/sZz/LsmXL0tramgkTJmTWrFmZPHlyb90dAAAAAHAA\neuWMwuXLl2fRokW5+OKLc8stt2TChAm5+eab09bW1ht3BwAAAAAcoF4JhQ8++GDOOuusnHHGGTn8\n8MMzZ86c1NfX59e//nVv3B0AAAAAcIAq/tbjzs7OrF69Oueff35526BBgzJlypSsWrVqj/07OjrS\n0dFRvlwqlTJkyJDU1vbau6KrrlQqpfTWo6u9jB6rqaur9hJ4gxrUBx/PfVFfnEGPDfqbvjiHfZHn\nDmCg6IuvK56j6U/64gz+r/a3q1W8xm3evDm7du1KY2Njt+2NjY15+eWX99h/yZIluffee8uXTz31\n1Fx11VUZOXJkpZf2xvLte6q9Aqgcj2f2xWMD2B+eOwDeuDxHQ79W9W89vuCCC3LnnXeW/5szZ063\nMwz7o23btuULX/hCtm3bVu2lABVgpqF/MdPQv5hp6F/MNPSuip9R2NDQkEGDBqW1tbXb9tbW1j3O\nMkySurq61PXjUz33piiKvPjiiymKotpLASrATEP/YqahfzHT0L+YaehdFT+jsLa2NpMmTcrKlSvL\n23bt2pWVK1emqamp0ncHAAAAAFRAr3xjyPTp0/O9730vkyZNyuTJk/PQQw9lx44dmTZtWm/cHQAA\nAABwgGrmzZs3r9I3esQRR2TYsGG57777smzZsiTJZz/72YwfP77Sd9VnDRo0KMcdd1xqamqqvRSg\nAsw09C9mGvoXMw39i5mG3lMqvLEfAAAAAAa8qn/rMQAAAABQfUIhAAAAACAUAgAAAABCIQAAAACQ\npLbaC+irnn322SxdujQvvvhiNm3alGuvvTbvfOc7y9e3trbmnnvuydNPP52tW7fm2GOPzaxZszJ2\n7NjyPuvXr89dd92Vv/71r+ns7MzUqVMza9asNDY2lvfZsmVL7rjjjjz55JMplUo5+eST88lPfjKH\nHHLIQT1e6O8O1kzPnTs3GzZs6Hbfl1xySc4///zeP0gYIJYsWZInnngi69atS319fZqamnLppZdm\n3Lhx5X127tyZRYsWZfny5eno6MjUqVMze/bsbvO6cePGLFiwIC0tLTnkkENy+umn55JLLun2DYst\nLS1ZtGhR1qxZk1GjRuWiiy7KtGnTDubhQr93sGa6paUl8+fP3+P+f/CDH3S7HeDAVGqm77jjjjz3\n3HNZs2ZNxo8fn69//et73Nff//73NDc354UXXkhDQ0Pe//7358Mf/vBBOU7oq2rmzZs3r9qL6IvW\nrl2brq6unHXWWVm+fHne9a53Zfz48UmSoihy0003Zdu2bfnUpz6Vc889N+vWrcvixYtz1llnpba2\nNtu3b8+Xv/zlNDY2Zu7cuTnzzDPz9NNP59FHH82ZZ56ZUqmUJPnGN76Rf/7zn/n85z+fU089NQ8/\n/HBWr16dU045pZqHD/3OwZrphx56KNOnT89VV12VD33oQ/nQhz6UY445JrW1/t0GKuW+++7LGWec\nkYsvvjjvec978vTTT+fBBx8sz2vy+g8XK1asyFVXXZVzzjkny5cvz+9///uceeaZSZJdu3blhhtu\nSH19fT7/+c9nypQpWbx4cdrb2zNlypQkyauvvpobbrghp5xySq644oo0Njbm9ttvz+TJkzNmzJiq\nHT/0Nwdrpjds2JDf/va3+da3vpULL7yw/Drd0NBQfh0HDlwlZjpJnnrqqZxwwgkZNmxY2tracs45\n53S7n/b29lx//fWZOHFiPvOZz2TChAlZuHBhGhoaMmnSpIN6zNCnFBywGTNmFH/4wx/Kl9etW1fM\nmIcBa0gAAAg+SURBVDGj+Mc//lHe1tXVVVx++eXFo48+WhRFUfzpT38qZs6cWWzdurW8z9atW4uZ\nM2cWf/7zn4uiKIo1a9YUM2bMKJ5//vnyPk899VQxc+bM4l//+ldvHxYMWL0100VRFFdeeWXx4IMP\nHoSjAHZra2srZsyYUbS0tBRF8fpsfvSjHy0ef/zx8j5r164tZsyYUTz33HNFURTFihUripkzZxab\nNm0q7/PII48UH//4x4uOjo6iKIrirrvuKq6++upu9/XNb36zuOmmm3r7kGBA662ZXrlyZTFjxoxi\ny5YtB/FogP2Z6X/3k5/8pLj22mv32P7II48Un/jEJ8ozXhRFcffddxdXXXVVLxwF9B8+o7AXdHZ2\nJknq6urK2wYNGpS6urr89a9/TZJ0dHSkVCp126euri6lUqm8z6pVqzJs2LC89a1vLe8zZcqUlEql\nPP/88wfjUIBUbqZ3u//++zNr1qxcd911Wbp0abq6ug7CUcDA1d7eniQZPnx4kmT16tXp6uoqn0WU\nJOPHj8+hhx6aVatWJXn9NfjII4/s9hanE088Mdu2bcuaNWuSJH/729+63UaSTJ06tXwbQO/orZne\n7brrrssVV1yRr371q3u8hgOVtz8z/b9YtWpVjj322G7v3Jk6dWpefvnlbNmypUKrh/5HKOwF48aN\ny6GHHpof/vCH2bJlSzo7O3P//ffnX//6V1pbW5MkTU1NGTx4cO65557s2LEj27dvz1133ZVdu3aV\n92ltbU1DQ0O3266pqcnw4cPL+wC9r1IznSQf+MAH8rnPfS5f+cpX8t73vjdLlizJ3XffXa1Dg35v\n165dufPOO3P00UfnyCOPTPL662ttbW2GDRvWbd8RI0Z0ew3+z88kGzFiRPm63b/u3vbv+2zbti07\nd+7sleOBga43Z3rkyJGZM2dOrrnmmlxzzTUZNWpU5s+fn9WrV/f2YcGAtb8z/b/Y29zvvuznadg3\nH4rVC2pra3Pttdfmtttuy6xZszJo0KBMmTIlb3/721MURZKkoaEhV199dW6//fY8/PDDKZVKOfXU\nUzNx4kSfgQJvMJWc6enTp5d/P2HChNTW1mbBggW55JJLup2NCFRGc3Nz1qxZkxtvvLHaSwEqoDdn\nety4cd2+TOHoo4/OP//5z/z0pz/NZz7zmYrfH+B1Gt6IhMJeMmnSpHz9619Pe3t7Ojs709DQkOuv\nv77bh6ZOnTo13/nOd7J58+bU1NRk2LBhmTNnTt7ylrckef1fOzZv3tztdru6urJlyxbfvAYHWSVm\nem/e9ra3paurKxs2bOj2wwlw4Jqbm7NixYrMnz8/o0aNKm9vbGxMZ2dntm7d2u1shba2tvLra2Nj\n4x4f89HW1la+bvevu7f9+z5DhgxJfX19rxwTDGS9PdN7M3nyZG8/hl5yIDP9v2hsbNzjzMHdl/08\nDfvmrce9bOjQoWloaMgrr7ySF154ISeddNIe+zQ0NGTYsGFZuXJlNm/enHe84x1JXn8r49atW7u9\n3WHlypUpiiKTJ08+aMcA/J8Dmem9eemll1Iqlfb4mAFg/xVFkebm5jzxxBO54YYbMnr06G7XT5o0\nKTU1NXnmmWfK215++eVs3LgxTU1NSV5/Df7HP/7RLQQ+/fTTGTJkSA4//PAkr4f+f7+N3fvsvg2g\nMg7WTO/NSy+9lJEjR1b4iGBgq8RM/y+ampryl7/8pfx548nrcz9u3Ljy5yECe6qZN2/evGovoi/a\nvn171q5dm9bW1vziF7/I5MmTU19fn87OzgwdOjSPP/54Nm/enKIo8pe//CXf/va3c9xxx+XCCy8s\n38avf/3rdHR0pKOjIytWrMhtt92Wc845J+9+97uTvB4b/va3v+Wxxx7LxIkT8+qrr2bBggU54YQT\ncsYZZ1Tr0KFfOhgzvWrVqvz+979PfX19duzYkaeeeioLFy7MySefXN4HOHDNzc353e9+l2uuuSZv\nfvObs3379mzfvj2DBg1KTU1N6urqsmnTpjzyyCOZMGFCtmzZkh/84AcZNWpUZsyYkSR5y1vekj/8\n4Q955plncuSRR+all17KHXfckbPPPjsnnnhikmTMmDFZsmRJ2tvbM2rUqDz++ONZtmxZZs2alTFj\nxlTzfwH0Kwdrpn/605+mra0tNTU1ee2117JkyZIsX748s2bN+q/vDgB6phIznSTr16/Pxo0b09LS\nkvXr1+fYY49Na2trhg8fnkGDBmXs2LH5+c9/nrVr12bs2LFpaWnJj370o8ycObPbu4KA7krF7g/Y\nokdaWloyf/78PbaffvrpmTt3bh566KEsW7Ysra2tGTlyZE477bRcfPHF3b5x6Z577slvfvObbNmy\nJaNHj87ZZ5+dD37wg90+z2zLli1pbm7Ok08+mVKplJNPPjmzZs3KIYccclCOEwaKgzHTq1evTnNz\nc9atW5eOjo6MHj06p512WqZPn+7zCaGCZs6cudftV155ZaZNm5Yk2blzZxYtWpTHHnssnZ2dmTp1\nambPnt3trUgbNmzI7bffnpaWlgwePDinn356Pvaxj6Wmpqa8T0tLSxYuXJi1a9dm1KhRueiii8r3\nAVTGwZrpBx54II8++mhee+21DB48OBMmTMhFF12U448/vtePEQaSSs30vHnz8uyzz+5xO9/97nfL\nZyn+/e9/T3Nzc1544YW86U1vyvvf//6cf/75lT8o6EeEQgAAAADAZxQCAAAAAEIhAAAAABChEAAA\nAACIUAgAAAAARCgEAAAAACIUAgAAAAARCgEAAACACIUAAAAAQIRCAAAAACBCIQAAAAAQoRAAAAAA\niFAIAAAAACT5f/5RXoXg5oqCAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "parties.Year.hist(bins=25 )\n", "plt.title(\"Distribution of submission years\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And a look at how emissions are distributed, many countries with small shares." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABRMAAANFCAYAAADoOGv5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "parties.Percentage.hist(bins=20)\n", "plt.title(\"Distribution of emissions shares for Entry Into Force\");" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "not_ratified = parties[parties[\"Ratification-Acceptance-Approval\"].isnull() != False]\n", "ratified = parties[parties[\"Ratification-Acceptance-Approval\"].isnull() == False]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sum of emissions of parties that have ratified, subtracting EU as a group to avoid double-counting." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "86.32\n" ] } ], "source": [ "print(ratified.Percentage.sum() - parties.loc[\"EUU\"].Percentage)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A list of the ten highest emitters who have not yet ratified." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
NameSignatureRatification-Acceptance-ApprovalKindDate-Of-EffectEmissionsPercentageYear
Code
RUSRussian Federation2016-04-22NaTNaNNaT2.79943e+067.532013
IRNIran (Islamic Republic of)2016-04-22NaTNaNNaT4836691.302000
TURTurkey2016-04-22NaTNaNNaT4591021.242013
ECUEcuador2016-07-26NaTNaNNaT2479900.672006
UZBUzbekistan2017-04-19NaTNaNNaT1998370.542005
COLColombia2016-04-22NaTNaNNaT1538850.412004
CZECzechia2016-04-22NaTNaNNaT1271440.342013
SYRSyrian Arab RepublicNaTNaTNaNNaT790700.212005
IRQIraq2016-12-08NaTNaNNaT726580.201997
AGOAngola2016-04-22NaTNaNNaT616110.172005
\n", "
" ], "text/plain": [ " Name Signature Ratification-Acceptance-Approval \\\n", "Code \n", "RUS Russian Federation 2016-04-22 NaT \n", "IRN Iran (Islamic Republic of) 2016-04-22 NaT \n", "TUR Turkey 2016-04-22 NaT \n", "ECU Ecuador 2016-07-26 NaT \n", "UZB Uzbekistan 2017-04-19 NaT \n", "COL Colombia 2016-04-22 NaT \n", "CZE Czechia 2016-04-22 NaT \n", "SYR Syrian Arab Republic NaT NaT \n", "IRQ Iraq 2016-12-08 NaT \n", "AGO Angola 2016-04-22 NaT \n", "\n", " Kind Date-Of-Effect Emissions Percentage Year \n", "Code \n", "RUS NaN NaT 2.79943e+06 7.53 2013 \n", "IRN NaN NaT 483669 1.30 2000 \n", "TUR NaN NaT 459102 1.24 2013 \n", "ECU NaN NaT 247990 0.67 2006 \n", "UZB NaN NaT 199837 0.54 2005 \n", "COL NaN NaT 153885 0.41 2004 \n", "CZE NaN NaT 127144 0.34 2013 \n", "SYR NaN NaT 79070 0.21 2005 \n", "IRQ NaN NaT 72658 0.20 1997 \n", "AGO NaN NaT 61611 0.17 2005 " ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "not_ratified.sort_values(\"Emissions\", ascending=False).head(10)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.1" } }, "nbformat": 4, "nbformat_minor": 1 }