analyze_results-creates-distrib.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from pandas import read_csv, DataFrame,concat,notnull,isnull,Series\n",
    "import matplotlib.pyplot as plt\n",
    "import statsmodels.formula.api as sm\n",
    "from statsmodels.stats.anova import anova_lm\n",
    "import numpy as np\n",
    "from scipy.stats import gaussian_kde\n",
    "from scipy.optimize import fsolve\n",
    "from scipy.interpolate import InterpolatedUnivariateSpline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data=read_csv(\"output_and_def_oct28.csv\")\n",
    "data.index=data['scenario_number']\n",
    "flooded=read_csv(\"people_flooded.csv\")\n",
    "flooded.index=flooded['scenario_number']\n",
    "flooded=flooded.drop('scenario_number',axis=1)\n",
    "\n",
    "data.rename(columns={'PARLIAMENT BRIDGE 3(150.0000)':'PARLIAMENT', 'KOTTE ELA NORTH(0.0000)':'KOTTE', \n",
    "                     'KIRILLAPONE2(771.0500)':'KIRILLAPONE2', 'PARLIAMENT_UPPER_REACH(1803.5500)':'PARLIAMENT_UPPER_REACH', \n",
    "         'TALANGAMA(3416.0000)':'TALANGAMA', 'KIRILLAPONE2(1388.0300)':'KIRILLAPONE22', 'TORRINGTON CNL(81.6800)':'TORRINGTON', \n",
    "         'TORRINGTON_B01(33.0600)':'TORRINGTON_B01', 'MAHAWATTA TO HEEN ELA(349.6500)':'MAHAWATTA', \n",
    "         'MAHAWATTA ELA(49.9900)':'MAHAWATTA2', 'WELLAWATTA CNL(0.0000)':'WELLAWATTA', 'DEMATAGODA ELA(0.0000)':'DEMATAGODA', \n",
    "         'DEMATAGODA ELA 2(3414.8899)':'DEMATAGODA2', 'ST. SEBASTIAN NORTH CANAL(1400.8700)':'SEBASTIAN2',\n",
    "         'ST. SEBASTIAN SOUTH CANAL(-75.0000)':'SEBASTIAN3', 'MAIN DRAIN(1094.8000)':'MAIN',\n",
    "         'DEHIWARA CNL(1003.8000)':'DEHIWARA', 'KIRILLAPONE3(2156.1499)':'KIRILLAPONE3',\n",
    "         'KIRILLAPONE2(934.0800)':'KIRILLAPONE23', 'TORRINGTON_B01(33.0600).1':'TORRINGTON_B012',\n",
    "         'SERPENTINE(40.0000)':'SERPENTINE', 'ST.SEBASTIAN_SOUTH_DIVERSION(200.0000)':'SEBASTIAN_SOUTH_DIVERSION', \n",
    "         'ST. SEBASTIAN SOUTH CANAL(1025.1801)':'SEBASTIAN', 'MAIN DRAIN(1177.1600)':'MAIN2'}, inplace=True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Selects only 2 cross sections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "varin1='PARLIAMENT'\n",
    "varin2='SEBASTIAN'\n",
    "subdata=data[[varin1, varin2, 'return_period','wetland_loss','climate_change','runoff','bndconditions','scenario_number']]\n",
    "subdata=concat([subdata,flooded],axis=1)\n",
    "subdata.rename(columns={'Estimated Population Exposed using GN method': 'Pop','share of Total Population using A2'\n",
    "                        : 'share'}, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## calculates losses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pop_multiplier=2.8*0.3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def calccost(pop_exposed,gdp_gr,gdp_per_capita_2013,pop_multiplier):\n",
    "    cost=pop_exposed*gdp_per_capita_2013*(1+gdp_gr)**(2040-2013)*pop_multiplier\n",
    "    return cost\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#GDP per capita 2013 in constant lkr\n",
    "gdp_per_capita_2013=160*10**3\n",
    "gdp_per_capita_2010=128*10**3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "subdata.ix[notnull(subdata['share']),'cost']=calccost(subdata.ix[notnull(subdata['share']),'Pop'],0,gdp_per_capita_2013,pop_multiplier)\n",
    "subdata.ix[notnull(subdata['share']),'costlog']=np.log(subdata.ix[notnull(subdata['share']),'cost'])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## predicts missing water level data points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "formula=varin1+\" ~ return_period + wetland_loss + climate_change + runoff  + bndconditions\"\n",
    "olsmodel=sm.ols(formula,data=subdata).fit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "predictions=olsmodel.predict(subdata)\n",
    "subdata.loc[subdata[varin1].isnull().values,varin1]=predictions[subdata[varin1].isnull().values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "formula=varin2+\" ~ return_period + wetland_loss + climate_change + runoff  + bndconditions\"\n",
    "olsmodel2=sm.ols(formula,data=subdata).fit()\n",
    "res2=olsmodel2.params\n",
    "predictions2=olsmodel2.predict(subdata)\n",
    "subdata.loc[subdata[varin2].isnull().values,varin2]=predictions2[subdata[varin2].isnull().values]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## predicts damages based on a few points using water level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "subdata['logPARLIAMENT']=np.log(subdata['PARLIAMENT'])\n",
    "subdata['logSEBASTIAN']=np.log(subdata['SEBASTIAN'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "formula=\"costlog ~ logPARLIAMENT\"\n",
    "damagemodel=sm.ols(formula,data=subdata).fit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "predicted_damages=damagemodel.predict(subdata)\n",
    "subdata.loc[subdata['costlog'].isnull().values,'costlog']=predicted_damages[subdata['costlog'].isnull().values]\n",
    "subdata['costestimated']=np.exp(subdata['costlog'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "nb_people_exposed=0.8*10**6\n",
    "R=gdp_per_capita_2013*nb_people_exposed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def event_damage_distrib(x):\n",
    "    cost=x.ix[:,['return_period','costestimated']].copy()\n",
    "    s = InterpolatedUnivariateSpline(cost['return_period'], cost['costestimated'], k=1)\n",
    "    zerocost=DataFrame({'return_period':[1,100,200,10000],'costestimated':[0,s(100),s(200),s(200)]})\n",
    "    cost=concat([zerocost,cost])\n",
    "    cost.sort(columns='return_period', inplace=True)\n",
    "    cost.index=range(len(cost))\n",
    "    cost['costestimated']=cost['costestimated'].astype(float)\n",
    "    f = InterpolatedUnivariateSpline(cost['return_period'], cost['costestimated'], k=1)\n",
    "    events=np.linspace(0.000001,1,num=500)\n",
    "    damages = f(1/events)\n",
    "    return damages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "charac_col=['wetland_loss','climate_change','runoff','bndconditions']\n",
    "annloss=subdata.groupby(charac_col).apply(lambda x:event_damage_distrib(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "charac=subdata.groupby(charac_col).apply(lambda x:x[charac_col].head(1))\n",
    "scenar=subdata.groupby(charac_col).apply(lambda x:x['scenario_number'].head(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "new_data=concat([scenar,charac],axis=1)\n",
    "new_data.index=range(len(new_data))\n",
    "annloss.index=range(len(annloss))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "new_data['annuallosses']=annloss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "      <td>  10</td>\n",
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       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td> 27</td>\n",
       "      <td>  10</td>\n",
       "      <td> 1</td>\n",
       "      <td> 0.6</td>\n",
       "      <td> 0</td>\n",
       "      <td> [64834097103.9, 64834097103.9, 64834097103.9, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td> 28</td>\n",
       "      <td>  10</td>\n",
       "      <td> 1</td>\n",
       "      <td> 0.6</td>\n",
       "      <td> 1</td>\n",
       "      <td> [75995705662.9, 75995705662.9, 75995705662.9, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td> 61</td>\n",
       "      <td>  70</td>\n",
       "      <td> 1</td>\n",
       "      <td> 0.4</td>\n",
       "      <td> 0</td>\n",
       "      <td> [100974727791.0, 100974727791.0, 100974727791....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td> 62</td>\n",
       "      <td>  70</td>\n",
       "      <td> 1</td>\n",
       "      <td> 0.4</td>\n",
       "      <td> 1</td>\n",
       "      <td> [112982633301.0, 112982633301.0, 112982633301....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td> 65</td>\n",
       "      <td>  70</td>\n",
       "      <td> 1</td>\n",
       "      <td> 0.5</td>\n",
       "      <td> 0</td>\n",
       "      <td> [103345091002.0, 103345091002.0, 103345091002....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td> 66</td>\n",
       "      <td>  70</td>\n",
       "      <td> 1</td>\n",
       "      <td> 0.5</td>\n",
       "      <td> 1</td>\n",
       "      <td> [115374119713.0, 115374119713.0, 115374119713....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td> 63</td>\n",
       "      <td>  70</td>\n",
       "      <td> 1</td>\n",
       "      <td> 0.6</td>\n",
       "      <td> 0</td>\n",
       "      <td> [105719015672.0, 105719015672.0, 105719015672....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td> 64</td>\n",
       "      <td>  70</td>\n",
       "      <td> 1</td>\n",
       "      <td> 0.6</td>\n",
       "      <td> 1</td>\n",
       "      <td> [117770607661.0, 117770607661.0, 117770607661....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td> 67</td>\n",
       "      <td>  70</td>\n",
       "      <td> 2</td>\n",
       "      <td> 0.4</td>\n",
       "      <td> 0</td>\n",
       "      <td> [110698831291.0, 110698831291.0, 110698831291....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td> 68</td>\n",
       "      <td>  70</td>\n",
       "      <td> 2</td>\n",
       "      <td> 0.4</td>\n",
       "      <td> 1</td>\n",
       "      <td> [122801833850.0, 122801833850.0, 122801833850....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td> 71</td>\n",
       "      <td>  70</td>\n",
       "      <td> 2</td>\n",
       "      <td> 0.5</td>\n",
       "      <td> 0</td>\n",
       "      <td> [113085759298.0, 113085759298.0, 113085759298....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td> 72</td>\n",
       "      <td>  70</td>\n",
       "      <td> 2</td>\n",
       "      <td> 0.5</td>\n",
       "      <td> 1</td>\n",
       "      <td> [125215148433.0, 125215148433.0, 125215148433....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td> 69</td>\n",
       "      <td>  70</td>\n",
       "      <td> 2</td>\n",
       "      <td> 0.6</td>\n",
       "      <td> 0</td>\n",
       "      <td> [115477456707.0, 115477456707.0, 115477456707....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td> 70</td>\n",
       "      <td>  70</td>\n",
       "      <td> 2</td>\n",
       "      <td> 0.6</td>\n",
       "      <td> 1</td>\n",
       "      <td> [127634294439.0, 127634294439.0, 127634294439....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td> 73</td>\n",
       "      <td> 100</td>\n",
       "      <td> 0</td>\n",
       "      <td> 0.4</td>\n",
       "      <td> 0</td>\n",
       "      <td> [65429993355.0, 65429993355.0, 65429993355.0, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td> 74</td>\n",
       "      <td> 100</td>\n",
       "      <td> 0</td>\n",
       "      <td> 0.4</td>\n",
       "      <td> 1</td>\n",
       "      <td> [79017576960.0, 79017576960.0, 79017576960.0, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td> 77</td>\n",
       "      <td> 100</td>\n",
       "      <td> 0</td>\n",
       "      <td> 0.5</td>\n",
       "      <td> 0</td>\n",
       "      <td> [69177583561.3, 69177583561.3, 69177583561.3, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td> 78</td>\n",
       "      <td> 100</td>\n",
       "      <td> 0</td>\n",
       "      <td> 0.5</td>\n",
       "      <td> 1</td>\n",
       "      <td> [85490114849.7, 85490114849.7, 85490114849.7, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td> 75</td>\n",
       "      <td> 100</td>\n",
       "      <td> 0</td>\n",
       "      <td> 0.6</td>\n",
       "      <td> 0</td>\n",
       "      <td> [72901192120.6, 72901192120.6, 72901192120.6, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td> 76</td>\n",
       "      <td> 100</td>\n",
       "      <td> 0</td>\n",
       "      <td> 0.6</td>\n",
       "      <td> 1</td>\n",
       "      <td> [89428217120.7, 89428217120.7, 89428217120.7, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td> 79</td>\n",
       "      <td> 100</td>\n",
       "      <td> 1</td>\n",
       "      <td> 0.4</td>\n",
       "      <td> 0</td>\n",
       "      <td> [84691683607.2, 84691683607.2, 84691683607.2, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td> 80</td>\n",
       "      <td> 100</td>\n",
       "      <td> 1</td>\n",
       "      <td> 0.4</td>\n",
       "      <td> 1</td>\n",
       "      <td> [163404269860.0, 163404269860.0, 163404269860....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td> 83</td>\n",
       "      <td> 100</td>\n",
       "      <td> 1</td>\n",
       "      <td> 0.5</td>\n",
       "      <td> 0</td>\n",
       "      <td> [124240973071.0, 124240973071.0, 124240973071....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td> 84</td>\n",
       "      <td> 100</td>\n",
       "      <td> 1</td>\n",
       "      <td> 0.5</td>\n",
       "      <td> 1</td>\n",
       "      <td> [179043317689.0, 179043317689.0, 179043317689....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td> 81</td>\n",
       "      <td> 100</td>\n",
       "      <td> 1</td>\n",
       "      <td> 0.6</td>\n",
       "      <td> 0</td>\n",
       "      <td> [129881105409.0, 129881105409.0, 129881105409....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td> 82</td>\n",
       "      <td> 100</td>\n",
       "      <td> 1</td>\n",
       "      <td> 0.6</td>\n",
       "      <td> 1</td>\n",
       "      <td> [189711845527.0, 189711845527.0, 189711845527....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td> 85</td>\n",
       "      <td> 100</td>\n",
       "      <td> 2</td>\n",
       "      <td> 0.4</td>\n",
       "      <td> 0</td>\n",
       "      <td> [132057938298.0, 132057938298.0, 132057938298....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td> 86</td>\n",
       "      <td> 100</td>\n",
       "      <td> 2</td>\n",
       "      <td> 0.4</td>\n",
       "      <td> 1</td>\n",
       "      <td> [186904128718.0, 186904128718.0, 186904128718....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td> 89</td>\n",
       "      <td> 100</td>\n",
       "      <td> 2</td>\n",
       "      <td> 0.5</td>\n",
       "      <td> 0</td>\n",
       "      <td> [141934004049.0, 141934004049.0, 141934004049....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td> 90</td>\n",
       "      <td> 100</td>\n",
       "      <td> 2</td>\n",
       "      <td> 0.5</td>\n",
       "      <td> 1</td>\n",
       "      <td> [202773390140.0, 202773390140.0, 202773390140....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td> 87</td>\n",
       "      <td> 100</td>\n",
       "      <td> 2</td>\n",
       "      <td> 0.6</td>\n",
       "      <td> 0</td>\n",
       "      <td> [150421062047.0, 150421062047.0, 150421062047....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td> 88</td>\n",
       "      <td> 100</td>\n",
       "      <td> 2</td>\n",
       "      <td> 0.6</td>\n",
       "      <td> 1</td>\n",
       "      <td> [216730914827.0, 216730914827.0, 216730914827....</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>90 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    scenario_number  wetland_loss  climate_change  runoff  bndconditions  \\\n",
       "0                 1             0               0     0.4              0   \n",
       "1                 2             0               0     0.4              1   \n",
       "2                 5             0               0     0.5              0   \n",
       "3                 6             0               0     0.5              1   \n",
       "4                 3             0               0     0.6              0   \n",
       "5                 4             0               0     0.6              1   \n",
       "6                 7             0               1     0.4              0   \n",
       "7                 8             0               1     0.4              1   \n",
       "8                11             0               1     0.5              0   \n",
       "9                12             0               1     0.5              1   \n",
       "10                9             0               1     0.6              0   \n",
       "11               10             0               1     0.6              1   \n",
       "12               13             0               2     0.4              0   \n",
       "13               14             0               2     0.4              1   \n",
       "14               17             0               2     0.5              0   \n",
       "15               18             0               2     0.5              1   \n",
       "16               15             0               2     0.6              0   \n",
       "17               16             0               2     0.6              1   \n",
       "18               19            10               0     0.4              0   \n",
       "19               20            10               0     0.4              1   \n",
       "20               23            10               0     0.5              0   \n",
       "21               24            10               0     0.5              1   \n",
       "22               21            10               0     0.6              0   \n",
       "23               22            10               0     0.6              1   \n",
       "24               25            10               1     0.4              0   \n",
       "25               26            10               1     0.4              1   \n",
       "26               29            10               1     0.5              0   \n",
       "27               30            10               1     0.5              1   \n",
       "28               27            10               1     0.6              0   \n",
       "29               28            10               1     0.6              1   \n",
       "..              ...           ...             ...     ...            ...   \n",
       "60               61            70               1     0.4              0   \n",
       "61               62            70               1     0.4              1   \n",
       "62               65            70               1     0.5              0   \n",
       "63               66            70               1     0.5              1   \n",
       "64               63            70               1     0.6              0   \n",
       "65               64            70               1     0.6              1   \n",
       "66               67            70               2     0.4              0   \n",
       "67               68            70               2     0.4              1   \n",
       "68               71            70               2     0.5              0   \n",
       "69               72            70               2     0.5              1   \n",
       "70               69            70               2     0.6              0   \n",
       "71               70            70               2     0.6              1   \n",
       "72               73           100               0     0.4              0   \n",
       "73               74           100               0     0.4              1   \n",
       "74               77           100               0     0.5              0   \n",
       "75               78           100               0     0.5              1   \n",
       "76               75           100               0     0.6              0   \n",
       "77               76           100               0     0.6              1   \n",
       "78               79           100               1     0.4              0   \n",
       "79               80           100               1     0.4              1   \n",
       "80               83           100               1     0.5              0   \n",
       "81               84           100               1     0.5              1   \n",
       "82               81           100               1     0.6              0   \n",
       "83               82           100               1     0.6              1   \n",
       "84               85           100               2     0.4              0   \n",
       "85               86           100               2     0.4              1   \n",
       "86               89           100               2     0.5              0   \n",
       "87               90           100               2     0.5              1   \n",
       "88               87           100               2     0.6              0   \n",
       "89               88           100               2     0.6              1   \n",
       "\n",
       "                                         annuallosses  \n",
       "0   [43217436669.3, 43217436669.3, 43217436669.3, ...  \n",
       "1   [46431651840.0, 46431651840.0, 46431651840.0, ...  \n",
       "2   [44363517850.5, 44363517850.5, 44363517850.5, ...  \n",
       "3   [50383906005.0, 50383906005.0, 50383906005.0, ...  \n",
       "4   [45989348910.6, 45989348910.6, 45989348910.6, ...  \n",
       "5   [53689067440.6, 53689067440.6, 53689067440.6, ...  \n",
       "6   [54628588126.6, 54628588126.6, 54628588126.6, ...  \n",
       "7   [66274538131.3, 66274538131.3, 66274538131.3, ...  \n",
       "8   [58829406627.7, 58829406627.7, 58829406627.7, ...  \n",
       "9   [70843553800.5, 70843553800.5, 70843553800.5, ...  \n",
       "10  [62248926236.4, 62248926236.4, 62248926236.4, ...  \n",
       "11  [74164825587.2, 74164825587.2, 74164825587.2, ...  \n",
       "12  [66424027479.2, 66424027479.2, 66424027479.2, ...  \n",
       "13  [76026634786.0, 76026634786.0, 76026634786.0, ...  \n",
       "14  [70486770699.7, 70486770699.7, 70486770699.7, ...  \n",
       "15  [78554323200.7, 78554323200.7, 78554323200.7, ...  \n",
       "16  [73765864813.6, 73765864813.6, 73765864813.6, ...  \n",
       "17  [80747673863.5, 80747673863.5, 80747673863.5, ...  \n",
       "18  [43859425118.5, 43859425118.5, 43859425118.5, ...  \n",
       "19  [48845417857.5, 48845417857.5, 48845417857.5, ...  \n",
       "20  [45497871131.9, 45497871131.9, 45497871131.9, ...  \n",
       "21  [52809555686.8, 52809555686.8, 52809555686.8, ...  \n",
       "22  [47279182696.2, 47279182696.2, 47279182696.2, ...  \n",
       "23  [56353093813.4, 56353093813.4, 56353093813.4, ...  \n",
       "24  [57300990598.3, 57300990598.3, 57300990598.3, ...  \n",
       "25  [69150769831.1, 69150769831.1, 69150769831.1, ...  \n",
       "26  [61464956058.3, 61464956058.3, 61464956058.3, ...  \n",
       "27  [73367529703.7, 73367529703.7, 73367529703.7, ...  \n",
       "28  [64834097103.9, 64834097103.9, 64834097103.9, ...  \n",
       "29  [75995705662.9, 75995705662.9, 75995705662.9, ...  \n",
       "..                                                ...  \n",
       "60  [100974727791.0, 100974727791.0, 100974727791....  \n",
       "61  [112982633301.0, 112982633301.0, 112982633301....  \n",
       "62  [103345091002.0, 103345091002.0, 103345091002....  \n",
       "63  [115374119713.0, 115374119713.0, 115374119713....  \n",
       "64  [105719015672.0, 105719015672.0, 105719015672....  \n",
       "65  [117770607661.0, 117770607661.0, 117770607661....  \n",
       "66  [110698831291.0, 110698831291.0, 110698831291....  \n",
       "67  [122801833850.0, 122801833850.0, 122801833850....  \n",
       "68  [113085759298.0, 113085759298.0, 113085759298....  \n",
       "69  [125215148433.0, 125215148433.0, 125215148433....  \n",
       "70  [115477456707.0, 115477456707.0, 115477456707....  \n",
       "71  [127634294439.0, 127634294439.0, 127634294439....  \n",
       "72  [65429993355.0, 65429993355.0, 65429993355.0, ...  \n",
       "73  [79017576960.0, 79017576960.0, 79017576960.0, ...  \n",
       "74  [69177583561.3, 69177583561.3, 69177583561.3, ...  \n",
       "75  [85490114849.7, 85490114849.7, 85490114849.7, ...  \n",
       "76  [72901192120.6, 72901192120.6, 72901192120.6, ...  \n",
       "77  [89428217120.7, 89428217120.7, 89428217120.7, ...  \n",
       "78  [84691683607.2, 84691683607.2, 84691683607.2, ...  \n",
       "79  [163404269860.0, 163404269860.0, 163404269860....  \n",
       "80  [124240973071.0, 124240973071.0, 124240973071....  \n",
       "81  [179043317689.0, 179043317689.0, 179043317689....  \n",
       "82  [129881105409.0, 129881105409.0, 129881105409....  \n",
       "83  [189711845527.0, 189711845527.0, 189711845527....  \n",
       "84  [132057938298.0, 132057938298.0, 132057938298....  \n",
       "85  [186904128718.0, 186904128718.0, 186904128718....  \n",
       "86  [141934004049.0, 141934004049.0, 141934004049....  \n",
       "87  [202773390140.0, 202773390140.0, 202773390140....  \n",
       "88  [150421062047.0, 150421062047.0, 150421062047....  \n",
       "89  [216730914827.0, 216730914827.0, 216730914827....  \n",
       "\n",
       "[90 rows x 6 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "losses_wetlands=DataFrame()\n",
    "for wetland_loss in new_data['wetland_loss'].unique():\n",
    "    select=new_data['wetland_loss']==wetland_loss\n",
    "    out=[]\n",
    "    for i in new_data[select].index:\n",
    "        out=np.concatenate([out,new_data.ix[i,'annuallosses']])\n",
    "    losses_wetlands['{}wetlandloss'.format(wetland_loss)]=out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0wetlandloss</th>\n",
       "      <th>10wetlandloss</th>\n",
       "      <th>50wetlandloss</th>\n",
       "      <th>70wetlandloss</th>\n",
       "      <th>100wetlandloss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0   </th>\n",
       "      <td> 4.321744e+10</td>\n",
       "      <td> 4.385943e+10</td>\n",
       "      <td> 4.882894e+10</td>\n",
       "      <td> 9.130356e+10</td>\n",
       "      <td> 6.542999e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1   </th>\n",
       "      <td> 4.321744e+10</td>\n",
       "      <td> 4.385943e+10</td>\n",
       "      <td> 4.882894e+10</td>\n",
       "      <td> 9.130356e+10</td>\n",
       "      <td> 6.542999e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2   </th>\n",
       "      <td> 4.321744e+10</td>\n",
       "      <td> 4.385943e+10</td>\n",
       "      <td> 4.882894e+10</td>\n",
       "      <td> 9.130356e+10</td>\n",
       "      <td> 6.542999e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3   </th>\n",
       "      <td> 3.704880e+10</td>\n",
       "      <td> 3.763336e+10</td>\n",
       "      <td> 4.196100e+10</td>\n",
       "      <td> 7.627048e+10</td>\n",
       "      <td> 5.609803e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4   </th>\n",
       "      <td> 2.943804e+10</td>\n",
       "      <td> 2.995175e+10</td>\n",
       "      <td> 3.348746e+10</td>\n",
       "      <td> 5.772293e+10</td>\n",
       "      <td> 4.458441e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5   </th>\n",
       "      <td> 2.487129e+10</td>\n",
       "      <td> 2.534247e+10</td>\n",
       "      <td> 2.840299e+10</td>\n",
       "      <td> 4.659366e+10</td>\n",
       "      <td> 3.767578e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6   </th>\n",
       "      <td> 2.182666e+10</td>\n",
       "      <td> 2.226950e+10</td>\n",
       "      <td> 2.501321e+10</td>\n",
       "      <td> 3.917383e+10</td>\n",
       "      <td> 3.306983e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7   </th>\n",
       "      <td> 1.965186e+10</td>\n",
       "      <td> 2.007445e+10</td>\n",
       "      <td> 2.259187e+10</td>\n",
       "      <td> 3.387381e+10</td>\n",
       "      <td> 2.977978e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8   </th>\n",
       "      <td> 1.802072e+10</td>\n",
       "      <td> 1.842813e+10</td>\n",
       "      <td> 2.077582e+10</td>\n",
       "      <td> 2.989871e+10</td>\n",
       "      <td> 2.731219e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9   </th>\n",
       "      <td> 1.675205e+10</td>\n",
       "      <td> 1.714764e+10</td>\n",
       "      <td> 1.936332e+10</td>\n",
       "      <td> 2.680691e+10</td>\n",
       "      <td> 2.539292e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10  </th>\n",
       "      <td> 1.573709e+10</td>\n",
       "      <td> 1.612324e+10</td>\n",
       "      <td> 1.823330e+10</td>\n",
       "      <td> 2.433345e+10</td>\n",
       "      <td> 2.385748e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11  </th>\n",
       "      <td> 1.490666e+10</td>\n",
       "      <td> 1.528508e+10</td>\n",
       "      <td> 1.730874e+10</td>\n",
       "      <td> 2.230968e+10</td>\n",
       "      <td> 2.260121e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12  </th>\n",
       "      <td> 1.421463e+10</td>\n",
       "      <td> 1.458661e+10</td>\n",
       "      <td> 1.653826e+10</td>\n",
       "      <td> 2.062320e+10</td>\n",
       "      <td> 2.155430e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13  </th>\n",
       "      <td> 1.362907e+10</td>\n",
       "      <td> 1.399559e+10</td>\n",
       "      <td> 1.588631e+10</td>\n",
       "      <td> 1.919616e+10</td>\n",
       "      <td> 2.066845e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14  </th>\n",
       "      <td> 1.312715e+10</td>\n",
       "      <td> 1.348900e+10</td>\n",
       "      <td> 1.532749e+10</td>\n",
       "      <td> 1.797298e+10</td>\n",
       "      <td> 1.990915e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15  </th>\n",
       "      <td> 1.269215e+10</td>\n",
       "      <td> 1.304995e+10</td>\n",
       "      <td> 1.484318e+10</td>\n",
       "      <td> 1.691288e+10</td>\n",
       "      <td> 1.925108e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16  </th>\n",
       "      <td> 1.231153e+10</td>\n",
       "      <td> 1.266579e+10</td>\n",
       "      <td> 1.441941e+10</td>\n",
       "      <td> 1.598530e+10</td>\n",
       "      <td> 1.867527e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17  </th>\n",
       "      <td> 1.197568e+10</td>\n",
       "      <td> 1.232681e+10</td>\n",
       "      <td> 1.404549e+10</td>\n",
       "      <td> 1.516683e+10</td>\n",
       "      <td> 1.816720e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18  </th>\n",
       "      <td> 1.167715e+10</td>\n",
       "      <td> 1.202550e+10</td>\n",
       "      <td> 1.371312e+10</td>\n",
       "      <td> 1.443931e+10</td>\n",
       "      <td> 1.771558e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19  </th>\n",
       "      <td> 1.141005e+10</td>\n",
       "      <td> 1.175591e+10</td>\n",
       "      <td> 1.341573e+10</td>\n",
       "      <td> 1.378836e+10</td>\n",
       "      <td> 1.731149e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20  </th>\n",
       "      <td> 1.116489e+10</td>\n",
       "      <td> 1.150775e+10</td>\n",
       "      <td> 1.314107e+10</td>\n",
       "      <td> 1.320696e+10</td>\n",
       "      <td> 1.693608e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21  </th>\n",
       "      <td> 1.083558e+10</td>\n",
       "      <td> 1.115853e+10</td>\n",
       "      <td> 1.273446e+10</td>\n",
       "      <td> 1.278148e+10</td>\n",
       "      <td> 1.633144e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22  </th>\n",
       "      <td> 1.053620e+10</td>\n",
       "      <td> 1.084106e+10</td>\n",
       "      <td> 1.236481e+10</td>\n",
       "      <td> 1.239467e+10</td>\n",
       "      <td> 1.578177e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23  </th>\n",
       "      <td> 1.026286e+10</td>\n",
       "      <td> 1.055119e+10</td>\n",
       "      <td> 1.202731e+10</td>\n",
       "      <td> 1.204150e+10</td>\n",
       "      <td> 1.527989e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24  </th>\n",
       "      <td> 1.001230e+10</td>\n",
       "      <td> 1.028547e+10</td>\n",
       "      <td> 1.171793e+10</td>\n",
       "      <td> 1.171776e+10</td>\n",
       "      <td> 1.481983e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25  </th>\n",
       "      <td> 9.781776e+09</td>\n",
       "      <td> 1.004102e+10</td>\n",
       "      <td> 1.143329e+10</td>\n",
       "      <td> 1.141991e+10</td>\n",
       "      <td> 1.439658e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26  </th>\n",
       "      <td> 9.568988e+09</td>\n",
       "      <td> 9.815367e+09</td>\n",
       "      <td> 1.117056e+10</td>\n",
       "      <td> 1.114498e+10</td>\n",
       "      <td> 1.400588e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27  </th>\n",
       "      <td> 9.371963e+09</td>\n",
       "      <td> 9.606429e+09</td>\n",
       "      <td> 1.092728e+10</td>\n",
       "      <td> 1.089041e+10</td>\n",
       "      <td> 1.364413e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28  </th>\n",
       "      <td> 9.189010e+09</td>\n",
       "      <td> 9.412415e+09</td>\n",
       "      <td> 1.070138e+10</td>\n",
       "      <td> 1.065403e+10</td>\n",
       "      <td> 1.330821e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29  </th>\n",
       "      <td> 9.018675e+09</td>\n",
       "      <td> 9.231782e+09</td>\n",
       "      <td> 1.049106e+10</td>\n",
       "      <td> 1.043394e+10</td>\n",
       "      <td> 1.299546e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8970</th>\n",
       "      <td> 5.707263e+08</td>\n",
       "      <td> 5.867343e+08</td>\n",
       "      <td> 6.717404e+08</td>\n",
       "      <td> 1.047640e+09</td>\n",
       "      <td> 9.144956e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8971</th>\n",
       "      <td> 5.498762e+08</td>\n",
       "      <td> 5.652993e+08</td>\n",
       "      <td> 6.472000e+08</td>\n",
       "      <td> 1.009367e+09</td>\n",
       "      <td> 8.810866e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8972</th>\n",
       "      <td> 5.291144e+08</td>\n",
       "      <td> 5.439551e+08</td>\n",
       "      <td> 6.227635e+08</td>\n",
       "      <td> 9.712561e+08</td>\n",
       "      <td> 8.478192e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8973</th>\n",
       "      <td> 5.084403e+08</td>\n",
       "      <td> 5.227012e+08</td>\n",
       "      <td> 5.984303e+08</td>\n",
       "      <td> 9.333063e+08</td>\n",
       "      <td> 8.146924e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8974</th>\n",
       "      <td> 4.878535e+08</td>\n",
       "      <td> 5.015370e+08</td>\n",
       "      <td> 5.741998e+08</td>\n",
       "      <td> 8.955167e+08</td>\n",
       "      <td> 7.817055e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8975</th>\n",
       "      <td> 4.673534e+08</td>\n",
       "      <td> 4.804619e+08</td>\n",
       "      <td> 5.500713e+08</td>\n",
       "      <td> 8.578861e+08</td>\n",
       "      <td> 7.488574e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8976</th>\n",
       "      <td> 4.469394e+08</td>\n",
       "      <td> 4.594753e+08</td>\n",
       "      <td> 5.260442e+08</td>\n",
       "      <td> 8.204137e+08</td>\n",
       "      <td> 7.161473e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8977</th>\n",
       "      <td> 4.266110e+08</td>\n",
       "      <td> 4.385768e+08</td>\n",
       "      <td> 5.021178e+08</td>\n",
       "      <td> 7.830984e+08</td>\n",
       "      <td> 6.835744e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8978</th>\n",
       "      <td> 4.063677e+08</td>\n",
       "      <td> 4.177656e+08</td>\n",
       "      <td> 4.782916e+08</td>\n",
       "      <td> 7.459392e+08</td>\n",
       "      <td> 6.511378e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8979</th>\n",
       "      <td> 3.862089e+08</td>\n",
       "      <td> 3.970414e+08</td>\n",
       "      <td> 4.545648e+08</td>\n",
       "      <td> 7.089351e+08</td>\n",
       "      <td> 6.188366e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8980</th>\n",
       "      <td> 3.661341e+08</td>\n",
       "      <td> 3.764035e+08</td>\n",
       "      <td> 4.309369e+08</td>\n",
       "      <td> 6.720853e+08</td>\n",
       "      <td> 5.866700e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8981</th>\n",
       "      <td> 3.461427e+08</td>\n",
       "      <td> 3.558515e+08</td>\n",
       "      <td> 4.074073e+08</td>\n",
       "      <td> 6.353886e+08</td>\n",
       "      <td> 5.546371e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8982</th>\n",
       "      <td> 3.262343e+08</td>\n",
       "      <td> 3.353847e+08</td>\n",
       "      <td> 3.839753e+08</td>\n",
       "      <td> 5.988443e+08</td>\n",
       "      <td> 5.227372e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8983</th>\n",
       "      <td> 3.064084e+08</td>\n",
       "      <td> 3.150026e+08</td>\n",
       "      <td> 3.606403e+08</td>\n",
       "      <td> 5.624512e+08</td>\n",
       "      <td> 4.909693e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8984</th>\n",
       "      <td> 2.866644e+08</td>\n",
       "      <td> 2.947048e+08</td>\n",
       "      <td> 3.374017e+08</td>\n",
       "      <td> 5.262086e+08</td>\n",
       "      <td> 4.593327e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8985</th>\n",
       "      <td> 2.670017e+08</td>\n",
       "      <td> 2.744907e+08</td>\n",
       "      <td> 3.142590e+08</td>\n",
       "      <td> 4.901154e+08</td>\n",
       "      <td> 4.278266e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8986</th>\n",
       "      <td> 2.474200e+08</td>\n",
       "      <td> 2.543598e+08</td>\n",
       "      <td> 2.912115e+08</td>\n",
       "      <td> 4.541707e+08</td>\n",
       "      <td> 3.964501e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8987</th>\n",
       "      <td> 2.279188e+08</td>\n",
       "      <td> 2.343115e+08</td>\n",
       "      <td> 2.682586e+08</td>\n",
       "      <td> 4.183736e+08</td>\n",
       "      <td> 3.652025e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8988</th>\n",
       "      <td> 2.084974e+08</td>\n",
       "      <td> 2.143454e+08</td>\n",
       "      <td> 2.453998e+08</td>\n",
       "      <td> 3.827233e+08</td>\n",
       "      <td> 3.340830e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8989</th>\n",
       "      <td> 1.891555e+08</td>\n",
       "      <td> 1.944610e+08</td>\n",
       "      <td> 2.226345e+08</td>\n",
       "      <td> 3.472187e+08</td>\n",
       "      <td> 3.030907e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8990</th>\n",
       "      <td> 1.698925e+08</td>\n",
       "      <td> 1.746577e+08</td>\n",
       "      <td> 1.999622e+08</td>\n",
       "      <td> 3.118591e+08</td>\n",
       "      <td> 2.722249e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8991</th>\n",
       "      <td> 1.507080e+08</td>\n",
       "      <td> 1.549351e+08</td>\n",
       "      <td> 1.773821e+08</td>\n",
       "      <td> 2.766435e+08</td>\n",
       "      <td> 2.414849e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8992</th>\n",
       "      <td> 1.316015e+08</td>\n",
       "      <td> 1.352927e+08</td>\n",
       "      <td> 1.548939e+08</td>\n",
       "      <td> 2.415711e+08</td>\n",
       "      <td> 2.108698e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8993</th>\n",
       "      <td> 1.125725e+08</td>\n",
       "      <td> 1.157299e+08</td>\n",
       "      <td> 1.324969e+08</td>\n",
       "      <td> 2.066409e+08</td>\n",
       "      <td> 1.803789e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8994</th>\n",
       "      <td> 9.362048e+07</td>\n",
       "      <td> 9.624638e+07</td>\n",
       "      <td> 1.101906e+08</td>\n",
       "      <td> 1.718522e+08</td>\n",
       "      <td> 1.500115e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8995</th>\n",
       "      <td> 7.474508e+07</td>\n",
       "      <td> 7.684155e+07</td>\n",
       "      <td> 8.797437e+07</td>\n",
       "      <td> 1.372040e+08</td>\n",
       "      <td> 1.197668e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8996</th>\n",
       "      <td> 5.594579e+07</td>\n",
       "      <td> 5.751497e+07</td>\n",
       "      <td> 6.584775e+07</td>\n",
       "      <td> 1.026955e+08</td>\n",
       "      <td> 8.964397e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8997</th>\n",
       "      <td> 3.722215e+07</td>\n",
       "      <td> 3.826616e+07</td>\n",
       "      <td> 4.381017e+07</td>\n",
       "      <td> 6.832594e+07</td>\n",
       "      <td> 5.964240e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8998</th>\n",
       "      <td> 1.857370e+07</td>\n",
       "      <td> 1.909466e+07</td>\n",
       "      <td> 2.186110e+07</td>\n",
       "      <td> 3.409437e+07</td>\n",
       "      <td> 2.976132e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8999</th>\n",
       "      <td> 0.000000e+00</td>\n",
       "      <td> 0.000000e+00</td>\n",
       "      <td> 0.000000e+00</td>\n",
       "      <td> 0.000000e+00</td>\n",
       "      <td> 0.000000e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9000 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      0wetlandloss  10wetlandloss  50wetlandloss  70wetlandloss  \\\n",
       "0     4.321744e+10   4.385943e+10   4.882894e+10   9.130356e+10   \n",
       "1     4.321744e+10   4.385943e+10   4.882894e+10   9.130356e+10   \n",
       "2     4.321744e+10   4.385943e+10   4.882894e+10   9.130356e+10   \n",
       "3     3.704880e+10   3.763336e+10   4.196100e+10   7.627048e+10   \n",
       "4     2.943804e+10   2.995175e+10   3.348746e+10   5.772293e+10   \n",
       "5     2.487129e+10   2.534247e+10   2.840299e+10   4.659366e+10   \n",
       "6     2.182666e+10   2.226950e+10   2.501321e+10   3.917383e+10   \n",
       "7     1.965186e+10   2.007445e+10   2.259187e+10   3.387381e+10   \n",
       "8     1.802072e+10   1.842813e+10   2.077582e+10   2.989871e+10   \n",
       "9     1.675205e+10   1.714764e+10   1.936332e+10   2.680691e+10   \n",
       "10    1.573709e+10   1.612324e+10   1.823330e+10   2.433345e+10   \n",
       "11    1.490666e+10   1.528508e+10   1.730874e+10   2.230968e+10   \n",
       "12    1.421463e+10   1.458661e+10   1.653826e+10   2.062320e+10   \n",
       "13    1.362907e+10   1.399559e+10   1.588631e+10   1.919616e+10   \n",
       "14    1.312715e+10   1.348900e+10   1.532749e+10   1.797298e+10   \n",
       "15    1.269215e+10   1.304995e+10   1.484318e+10   1.691288e+10   \n",
       "16    1.231153e+10   1.266579e+10   1.441941e+10   1.598530e+10   \n",
       "17    1.197568e+10   1.232681e+10   1.404549e+10   1.516683e+10   \n",
       "18    1.167715e+10   1.202550e+10   1.371312e+10   1.443931e+10   \n",
       "19    1.141005e+10   1.175591e+10   1.341573e+10   1.378836e+10   \n",
       "20    1.116489e+10   1.150775e+10   1.314107e+10   1.320696e+10   \n",
       "21    1.083558e+10   1.115853e+10   1.273446e+10   1.278148e+10   \n",
       "22    1.053620e+10   1.084106e+10   1.236481e+10   1.239467e+10   \n",
       "23    1.026286e+10   1.055119e+10   1.202731e+10   1.204150e+10   \n",
       "24    1.001230e+10   1.028547e+10   1.171793e+10   1.171776e+10   \n",
       "25    9.781776e+09   1.004102e+10   1.143329e+10   1.141991e+10   \n",
       "26    9.568988e+09   9.815367e+09   1.117056e+10   1.114498e+10   \n",
       "27    9.371963e+09   9.606429e+09   1.092728e+10   1.089041e+10   \n",
       "28    9.189010e+09   9.412415e+09   1.070138e+10   1.065403e+10   \n",
       "29    9.018675e+09   9.231782e+09   1.049106e+10   1.043394e+10   \n",
       "...            ...            ...            ...            ...   \n",
       "8970  5.707263e+08   5.867343e+08   6.717404e+08   1.047640e+09   \n",
       "8971  5.498762e+08   5.652993e+08   6.472000e+08   1.009367e+09   \n",
       "8972  5.291144e+08   5.439551e+08   6.227635e+08   9.712561e+08   \n",
       "8973  5.084403e+08   5.227012e+08   5.984303e+08   9.333063e+08   \n",
       "8974  4.878535e+08   5.015370e+08   5.741998e+08   8.955167e+08   \n",
       "8975  4.673534e+08   4.804619e+08   5.500713e+08   8.578861e+08   \n",
       "8976  4.469394e+08   4.594753e+08   5.260442e+08   8.204137e+08   \n",
       "8977  4.266110e+08   4.385768e+08   5.021178e+08   7.830984e+08   \n",
       "8978  4.063677e+08   4.177656e+08   4.782916e+08   7.459392e+08   \n",
       "8979  3.862089e+08   3.970414e+08   4.545648e+08   7.089351e+08   \n",
       "8980  3.661341e+08   3.764035e+08   4.309369e+08   6.720853e+08   \n",
       "8981  3.461427e+08   3.558515e+08   4.074073e+08   6.353886e+08   \n",
       "8982  3.262343e+08   3.353847e+08   3.839753e+08   5.988443e+08   \n",
       "8983  3.064084e+08   3.150026e+08   3.606403e+08   5.624512e+08   \n",
       "8984  2.866644e+08   2.947048e+08   3.374017e+08   5.262086e+08   \n",
       "8985  2.670017e+08   2.744907e+08   3.142590e+08   4.901154e+08   \n",
       "8986  2.474200e+08   2.543598e+08   2.912115e+08   4.541707e+08   \n",
       "8987  2.279188e+08   2.343115e+08   2.682586e+08   4.183736e+08   \n",
       "8988  2.084974e+08   2.143454e+08   2.453998e+08   3.827233e+08   \n",
       "8989  1.891555e+08   1.944610e+08   2.226345e+08   3.472187e+08   \n",
       "8990  1.698925e+08   1.746577e+08   1.999622e+08   3.118591e+08   \n",
       "8991  1.507080e+08   1.549351e+08   1.773821e+08   2.766435e+08   \n",
       "8992  1.316015e+08   1.352927e+08   1.548939e+08   2.415711e+08   \n",
       "8993  1.125725e+08   1.157299e+08   1.324969e+08   2.066409e+08   \n",
       "8994  9.362048e+07   9.624638e+07   1.101906e+08   1.718522e+08   \n",
       "8995  7.474508e+07   7.684155e+07   8.797437e+07   1.372040e+08   \n",
       "8996  5.594579e+07   5.751497e+07   6.584775e+07   1.026955e+08   \n",
       "8997  3.722215e+07   3.826616e+07   4.381017e+07   6.832594e+07   \n",
       "8998  1.857370e+07   1.909466e+07   2.186110e+07   3.409437e+07   \n",
       "8999  0.000000e+00   0.000000e+00   0.000000e+00   0.000000e+00   \n",
       "\n",
       "      100wetlandloss  \n",
       "0       6.542999e+10  \n",
       "1       6.542999e+10  \n",
       "2       6.542999e+10  \n",
       "3       5.609803e+10  \n",
       "4       4.458441e+10  \n",
       "5       3.767578e+10  \n",
       "6       3.306983e+10  \n",
       "7       2.977978e+10  \n",
       "8       2.731219e+10  \n",
       "9       2.539292e+10  \n",
       "10      2.385748e+10  \n",
       "11      2.260121e+10  \n",
       "12      2.155430e+10  \n",
       "13      2.066845e+10  \n",
       "14      1.990915e+10  \n",
       "15      1.925108e+10  \n",
       "16      1.867527e+10  \n",
       "17      1.816720e+10  \n",
       "18      1.771558e+10  \n",
       "19      1.731149e+10  \n",
       "20      1.693608e+10  \n",
       "21      1.633144e+10  \n",
       "22      1.578177e+10  \n",
       "23      1.527989e+10  \n",
       "24      1.481983e+10  \n",
       "25      1.439658e+10  \n",
       "26      1.400588e+10  \n",
       "27      1.364413e+10  \n",
       "28      1.330821e+10  \n",
       "29      1.299546e+10  \n",
       "...              ...  \n",
       "8970    9.144956e+08  \n",
       "8971    8.810866e+08  \n",
       "8972    8.478192e+08  \n",
       "8973    8.146924e+08  \n",
       "8974    7.817055e+08  \n",
       "8975    7.488574e+08  \n",
       "8976    7.161473e+08  \n",
       "8977    6.835744e+08  \n",
       "8978    6.511378e+08  \n",
       "8979    6.188366e+08  \n",
       "8980    5.866700e+08  \n",
       "8981    5.546371e+08  \n",
       "8982    5.227372e+08  \n",
       "8983    4.909693e+08  \n",
       "8984    4.593327e+08  \n",
       "8985    4.278266e+08  \n",
       "8986    3.964501e+08  \n",
       "8987    3.652025e+08  \n",
       "8988    3.340830e+08  \n",
       "8989    3.030907e+08  \n",
       "8990    2.722249e+08  \n",
       "8991    2.414849e+08  \n",
       "8992    2.108698e+08  \n",
       "8993    1.803789e+08  \n",
       "8994    1.500115e+08  \n",
       "8995    1.197668e+08  \n",
       "8996    8.964397e+07  \n",
       "8997    5.964240e+07  \n",
       "8998    2.976132e+07  \n",
       "8999    0.000000e+00  \n",
       "\n",
       "[9000 rows x 5 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "losses_wetlands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "LhIAAAAASUVORK5CYII=\n"
      ],
      "text/plain": [
       "<matplotlib.figure.Figure at 0x995c5c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "font = {'family' : 'normal',\n",
    "        'weight' : 'normal',\n",
    "        'size'   : 15}\n",
    "plt.rc('font', **font)\n",
    "plt.figure(figsize=(8,6))\n",
    "ax=plt.subplot(111)\n",
    "\n",
    "density = gaussian_kde(losses_wetlands['0wetlandloss']/10**9)\n",
    "xs = np.linspace(0,max(losses_wetlands['100wetlandloss'])/10**9,num=500)\n",
    "density.covariance_factor = lambda : .25\n",
    "density._compute_covariance()\n",
    "plt.plot(xs,density(xs),linewidth=2,color='blue')\n",
    "plt.annotate('Keep 100% of existing wetlands', xy=(xs[30], density(xs[30])),  xycoords='data',\n",
    "                    xytext=(70, 70), textcoords='offset points',\n",
    "                    size=15,\n",
    "                    #bbox=dict(boxstyle=\"round\", fc=\"0.8\"),\n",
    "                    arrowprops=dict(arrowstyle=\"fancy\",\n",
    "                                    fc='blue', ec='blue',\n",
    "                                    patchB=None,\n",
    "                                    connectionstyle=\"angle3,angleA=0,angleB=60\"),\n",
    "                        )\n",
    "\n",
    "density = gaussian_kde(losses_wetlands['100wetlandloss']/10**9)\n",
    "density.covariance_factor = lambda : .25\n",
    "density._compute_covariance()\n",
    "plt.plot(xs,density(xs),linewidth=2,color='green')\n",
    "plt.annotate('Keep 0% of existing wetlands', xy=(xs[200], density(xs[200])),  xycoords='data',\n",
    "                    xytext=(70, 70), textcoords='offset points',\n",
    "                    size=15,\n",
    "                    #bbox=dict(boxstyle=\"round\", fc=\"0.8\"),\n",
    "                    arrowprops=dict(arrowstyle=\"fancy\",\n",
    "                                    fc='green', ec='green',\n",
    "                                    patchB=None,\n",
    "                                    connectionstyle=\"angle3,angleA=0,angleB=60\"),\n",
    "                        )\n",
    "plt.xlabel('Losses (billion RS)')\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.xaxis.set_ticks_position('bottom')\n",
    "ax.yaxis.set_ticks_position('left')\n",
    "plt.savefig('all_losses_per_wetland_loss.png',bbox_inches=\"tight\",dpi=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  }
 ],
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