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   "file_extension": ".py",
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 "nbformat": 4,
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 "cells": [
  {
   "source": [
    "# Datendarstellung für die Dotcom-Blase"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import matplotlib as mp "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "         Date        Open        High         Low       Close   Adj Close  \\\n",
       "0  1995-01-03  751.309998  751.309998  743.530029  743.580017  743.580017   \n",
       "1  1995-01-04  744.770020  746.419983  740.469971  745.840027  745.840027   \n",
       "2  1995-01-05  746.869995  748.500000  745.130005  745.659973  745.659973   \n",
       "3  1995-01-06  746.270020  750.729980  745.760010  749.690002  749.690002   \n",
       "4  1995-01-09  750.190002  752.840027  750.099976  752.090027  752.090027   \n",
       "\n",
       "      Volume  \n",
       "0  248750000  \n",
       "1  290350000  \n",
       "2  297510000  \n",
       "3  312920000  \n",
       "4  267090000  "
      ],
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Date</th>\n      <th>Open</th>\n      <th>High</th>\n      <th>Low</th>\n      <th>Close</th>\n      <th>Adj Close</th>\n      <th>Volume</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1995-01-03</td>\n      <td>751.309998</td>\n      <td>751.309998</td>\n      <td>743.530029</td>\n      <td>743.580017</td>\n      <td>743.580017</td>\n      <td>248750000</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1995-01-04</td>\n      <td>744.770020</td>\n      <td>746.419983</td>\n      <td>740.469971</td>\n      <td>745.840027</td>\n      <td>745.840027</td>\n      <td>290350000</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1995-01-05</td>\n      <td>746.869995</td>\n      <td>748.500000</td>\n      <td>745.130005</td>\n      <td>745.659973</td>\n      <td>745.659973</td>\n      <td>297510000</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1995-01-06</td>\n      <td>746.270020</td>\n      <td>750.729980</td>\n      <td>745.760010</td>\n      <td>749.690002</td>\n      <td>749.690002</td>\n      <td>312920000</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1995-01-09</td>\n      <td>750.190002</td>\n      <td>752.840027</td>\n      <td>750.099976</td>\n      <td>752.090027</td>\n      <td>752.090027</td>\n      <td>267090000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 16
    }
   ],
   "source": [
    "df = pd.read_csv('^IXIC.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "Date\n",
       "1995-01-03    751.309998\n",
       "1995-01-04    744.770020\n",
       "1995-01-05    746.869995\n",
       "1995-01-06    746.270020\n",
       "1995-01-09    750.190002\n",
       "Name: Open, dtype: float64"
      ]
     },
     "metadata": {},
     "execution_count": 19
    }
   ],
   "source": [
    "df.index = pd.to_datetime(df[\"Date\"])\n",
    "df = df[\"Open\"]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Nasdaq'}>"
      ]
     },
     "metadata": {},
     "execution_count": 23
    },
    {
     "output_type": "display_data",
     "data": {
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128.849961 185.364217 \nL 129.128088 186.361751 \nL 129.498924 187.06844 \nL 129.684342 188.308958 \nL 129.777051 187.851861 \nL 130.147887 188.532559 \nL 130.240596 188.294933 \nL 130.333305 187.388987 \nL 130.704141 188.563913 \nL 130.79685 190.010703 \nL 130.889559 189.75658 \nL 130.982268 190.512359 \nL 131.538522 187.837836 \nL 131.72394 189.47151 \nL 132.002067 190.103113 \nL 132.094776 189.570522 \nL 132.187485 190.091152 \nL 132.280194 189.894368 \nL 132.372903 189.136937 \nL 132.65103 189.569283 \nL 132.743739 190.260295 \nL 132.836448 189.872089 \nL 132.929157 188.908386 \nL 133.021866 189.46862 \nL 133.299993 189.986365 \nL 133.670829 187.360932 \nL 134.041665 184.929399 \nL 134.134374 185.450029 \nL 134.227083 185.617933 \nL 134.319792 184.749938 \nL 134.597919 184.739624 \nL 134.690628 184.542432 \nL 134.876046 184.883602 \nL 134.968755 184.389788 \nL 135.339591 184.610911 \nL 135.525009 183.207847 \nL 135.617718 183.143906 \nL 135.988554 182.720222 \nL 136.173972 181.709902 \nL 136.266681 184.048613 \nL 136.544808 181.933502 \nL 136.822935 182.813457 \nL 136.915644 182.63235 \nL 137.28648 181.799833 \nL 137.379189 182.178138 \nL 137.564607 181.742081 \nL 138.120861 180.848922 \nL 138.21357 180.267648 \nL 138.584406 180.41286 \nL 138.677115 180.00238 \nL 138.862533 180.521772 \nL 139.14066 180.596858 \nL 139.326078 180.441328 \nL 139.418787 179.582 \nL 139.882332 179.277542 \nL 139.975041 178.436364 \nL 140.06775 178.6909 \nL 140.438586 177.812184 \nL 140.716713 174.747804 \nL 140.809422 175.645088 \nL 141.087549 176.115389 \nL 141.180258 176.490803 \nL 141.272967 175.15705 \nL 141.365676 175.382297 \nL 141.458385 175.142199 \nL 141.736512 175.084441 \nL 141.829221 175.605072 \nL 142.107348 174.194168 \nL 142.385475 174.259353 \nL 142.663602 172.442093 \nL 142.756311 173.463966 \nL 143.683401 175.482135 \nL 143.961528 172.865364 \nL 144.054237 174.730062 \nL 144.332364 173.928492 \nL 144.7032 174.799372 \nL 145.074036 174.17767 \nL 145.166745 173.150847 \nL 145.259454 173.231704 \nL 145.352163 172.612474 \nL 145.722999 172.052241 \nL 145.815708 171.677648 \nL 145.908417 172.517587 \nL 146.001126 172.201169 \nL 146.279253 171.921463 \nL 146.371962 172.16775 \nL 146.464671 170.935481 \nL 146.55738 171.021706 \nL 146.650089 171.133091 \nL 147.113634 169.820377 \nL 147.299052 170.426403 \nL 147.577179 170.455279 \nL 147.762597 170.228792 \nL 147.855306 170.123596 \nL 147.948015 169.099246 \nL 148.318851 168.782415 \nL 148.41156 168.202375 \nL 148.504269 168.405349 \nL 148.596978 168.231669 \nL 148.967814 167.999406 \nL 149.060523 169.217646 \nL 149.153232 168.576142 \nL 149.245941 169.862866 \nL 149.524068 170.873599 \nL 149.709486 169.168555 \nL 149.802195 169.515507 \nL 149.894903 170.423517 \nL 150.17303 171.873606 \nL 150.265739 178.730095 \nL 150.358448 173.372383 \nL 150.451157 175.09269 \nL 150.543866 174.21686 \nL 150.821993 173.577416 \nL 151.007411 172.326584 \nL 151.10012 172.400839 \nL 151.192829 174.086907 \nL 151.470956 173.571227 \nL 151.749083 175.839394 \nL 151.841792 175.390133 \nL 152.212628 173.369079 \nL 152.305337 174.127336 \nL 152.398046 173.658273 \nL 152.490755 172.465198 \nL 152.768882 173.440454 \nL 152.861591 174.250686 \nL 152.9543 174.239552 \nL 153.139718 174.145903 \nL 153.417845 173.621143 \nL 153.510554 172.923121 \nL 153.603263 173.809679 \nL 153.695972 173.078238 \nL 153.788681 173.643009 \nL 154.066808 172.349271 \nL 154.159517 172.449108 \nL 154.437644 175.456965 \nL 154.715771 176.432633 \nL 154.80848 176.397981 \nL 154.901189 175.478831 \nL 154.993898 176.091871 \nL 155.086607 177.816721 \nL 155.364734 176.719355 \nL 155.457443 176.796087 \nL 155.73557 178.052283 \nL 156.013697 177.200791 \nL 156.384533 175.042774 \nL 156.755369 174.466451 \nL 157.033496 175.808454 \nL 157.311623 178.841893 \nL 157.497041 176.045254 \nL 157.58975 176.20945 \nL 157.682459 175.719761 \nL 158.053295 175.302674 \nL 158.146004 174.659106 \nL 158.238713 174.886831 \nL 158.331422 174.69541 \nL 158.609549 174.868269 \nL 158.702258 175.532464 \nL 158.980385 172.962311 \nL 159.258512 172.321629 \nL 159.536639 170.169801 \nL 159.629348 170.859161 \nL 159.907475 169.852139 \nL 160.000184 170.166911 \nL 160.092893 169.477964 \nL 160.185602 169.729615 \nL 160.278311 169.461048 \nL 160.649147 168.981672 \nL 160.741856 169.733739 \nL 160.927274 168.535301 \nL 161.205401 168.024984 \nL 161.29811 167.548906 \nL 161.390819 167.916485 \nL 161.576237 166.630169 \nL 161.854364 166.601293 \nL 162.132491 169.24694 \nL 162.503327 167.871106 \nL 162.596036 168.133483 \nL 162.874163 166.754346 \nL 163.15229 166.572825 \nL 163.244999 166.220929 \nL 163.337708 166.847994 \nL 163.523126 165.588082 \nL 163.801253 166.344279 \nL 163.893962 165.853763 \nL 163.986671 164.171406 \nL 164.07938 164.8059 \nL 164.172089 164.192447 \nL 164.542925 164.754745 \nL 164.821052 163.357457 \nL 165.099179 163.279486 \nL 165.284597 165.677606 \nL 165.377306 165.124796 \nL 165.840851 164.675534 \nL 166.026269 163.360756 \nL 166.118978 163.475032 \nL 166.397105 162.876429 \nL 166.582523 161.290199 \nL 166.675232 161.055871 \nL 166.767941 162.48204 \nL 167.046068 162.878494 \nL 167.231486 164.189969 \nL 167.416904 162.760915 \nL 167.695031 162.418093 \nL 167.880449 162.72874 \nL 168.065867 164.396241 \nL 168.343994 162.835175 \nL 168.436703 163.76629 \nL 168.529412 162.841777 \nL 168.622121 163.340129 \nL 168.71483 162.861991 \nL 168.992957 164.133864 \nL 169.085666 164.047643 \nL 169.178375 163.654074 \nL 169.363793 165.277027 \nL 169.734629 165.165224 \nL 169.827338 167.388839 \nL 170.012756 165.709786 \nL 170.383592 167.459382 \nL 170.476301 166.91194 \nL 170.56901 167.648744 \nL 170.661719 166.841392 \nL 171.125264 166.084374 \nL 171.588809 168.752713 \nL 171.681518 168.663189 \nL 171.866936 166.699066 \nL 171.959645 166.398733 \nL 172.237772 166.442873 \nL 172.515899 162.161905 \nL 172.608608 163.027422 \nL 172.979444 162.31042 \nL 173.164862 161.236979 \nL 173.535698 161.654473 \nL 173.906534 159.990684 \nL 174.184661 159.604543 \nL 174.462788 157.435382 \nL 174.926333 156.710957 \nL 175.019042 158.747275 \nL 175.111751 158.675906 \nL 175.20446 159.623519 \nL 175.482587 160.925093 \nL 175.575296 160.284828 \nL 175.760714 161.720479 \nL 175.853423 160.769155 \nL 176.224259 163.092602 \nL 176.409677 166.635946 \nL 176.502386 163.970911 \nL 176.780513 163.775778 \nL 176.873222 165.654501 \nL 176.965931 165.324466 \nL 177.05864 164.876443 \nL 177.151349 165.074054 \nL 177.429476 166.345926 \nL 177.614894 162.737402 \nL 177.800312 165.043526 \nL 178.078439 165.567868 \nL 178.171148 165.429666 \nL 178.727401 172.045639 \nL 178.82011 177.728023 \nL 178.912819 174.386002 \nL 179.005528 175.111258 \nL 179.098237 174.538233 \nL 179.469073 175.355481 \nL 179.561782 171.560899 \nL 179.7472 173.982532 \nL 180.210745 170.507673 \nL 180.303454 172.068744 \nL 180.396163 171.578228 \nL 180.67429 172.732113 \nL 180.952417 167.65452 \nL 181.045126 169.622354 \nL 181.323253 167.460208 \nL 181.415962 167.975889 \nL 181.60138 171.362876 \nL 181.694089 173.584431 \nL 181.972216 174.338558 \nL 182.064925 175.191289 \nL 182.250343 181.361304 \nL 182.343052 180.272186 \nL 182.713888 176.402931 \nL 182.806597 178.009789 \nL 182.992015 172.933022 \nL 183.270142 173.225927 \nL 183.362851 171.423524 \nL 183.45556 171.59184 \nL 183.640978 169.882259 \nL 183.919105 169.593886 \nL 184.011814 168.164011 \nL 184.104523 169.424744 \nL 184.289941 167.014663 \nL 184.568068 166.395434 \nL 184.938904 164.287742 \nL 185.30974 163.279899 \nL 185.402449 162.083933 \nL 185.587867 163.921815 \nL 185.865994 162.899947 \nL 185.958703 163.347144 \nL 186.23683 160.127234 \nL 186.514957 160.037715 \nL 186.700375 158.559978 \nL 187.16392 156.496431 \nL 187.256629 160.421791 \nL 187.349338 157.639182 \nL 187.442047 157.666819 \nL 187.534756 158.116493 \nL 187.812883 157.060794 \nL 187.998301 155.609461 \nL 188.09101 155.344193 \nL 188.183719 156.941568 \nL 188.461846 156.918463 \nL 188.554555 158.09504 \nL 188.647264 156.510461 \nL 188.739973 156.862771 \nL 188.832682 155.089243 \nL 189.110809 153.048388 \nL 189.296227 151.31405 \nL 189.388936 150.405627 \nL 189.759772 150.119323 \nL 189.852481 149.863961 \nL 189.94519 149.991431 \nL 190.037899 150.484842 \nL 190.501444 148.901905 \nL 190.779571 142.464149 \nL 191.057698 142.044595 \nL 191.150407 141.139888 \nL 191.243116 148.302477 \nL 191.335825 143.556979 \nL 191.428534 145.413841 \nL 191.79937 141.344922 \nL 191.892079 138.849029 \nL 192.077497 144.710864 \nL 192.448333 141.425779 \nL 192.541042 138.691434 \nL 192.633751 139.216602 \nL 192.72646 137.411308 \nL 193.004587 135.922029 \nL 193.097296 136.34529 \nL 193.190005 138.774769 \nL 193.282714 136.990102 \nL 193.375423 140.148543 \nL 193.746259 140.807788 \nL 193.838968 144.920853 \nL 194.024386 141.96126 \nL 194.395222 142.570589 \nL 194.58064 146.373832 \nL 194.951476 145.371348 \nL 195.136894 141.393599 \nL 195.322312 144.250881 \nL 195.600439 145.639502 \nL 195.693148 144.946838 \nL 195.785857 146.167147 \nL 195.878566 145.661781 \nL 195.971275 143.875875 \nL 196.249402 142.731477 \nL 196.43482 140.677831 \nL 196.527529 140.181952 \nL 196.898365 141.278498 \nL 197.083783 139.311489 \nL 197.176492 139.924524 \nL 197.269201 137.654302 \nL 197.547328 139.799532 \nL 197.732746 143.997583 \nL 197.918164 139.937316 \nL 198.196291 139.213711 \nL 198.381709 136.501233 \nL 198.474418 137.131189 \nL 198.845254 135.856018 \nL 199.030672 132.935203 \nL 199.123381 134.640251 \nL 199.21609 133.752042 \nL 199.494217 135.566824 \nL 199.586926 131.61217 \nL 199.679635 131.832059 \nL 199.865053 135.669134 \nL 200.14318 136.774755 \nL 200.235889 142.816464 \nL 200.514016 134.210373 \nL 200.792143 132.014814 \nL 200.884852 129.767273 \nL 201.07027 134.99174 \nL 201.162979 134.127864 \nL 201.533815 135.367975 \nL 201.626524 136.921623 \nL 201.719233 135.508246 \nL 201.811942 136.864687 \nL 202.090069 136.15057 \nL 202.368196 131.822985 \nL 202.460905 134.810214 \nL 202.739032 136.133247 \nL 202.831741 133.974399 \nL 202.92445 134.021848 \nL 203.017159 133.319697 \nL 203.109868 134.723999 \nL 203.387995 135.636542 \nL 203.573413 140.646477 \nL 203.758831 139.822627 \nL 204.129667 138.185654 \nL 204.222376 140.503738 \nL 204.315085 139.289623 \nL 204.407794 140.167932 \nL 204.77863 135.768141 \nL 204.871339 137.046615 \nL 204.964048 136.67038 \nL 205.056757 137.027227 \nL 205.334884 138.774769 \nL 205.427593 140.827589 \nL 205.70572 135.821774 \nL 205.983847 133.619204 \nL 206.076556 131.963246 \nL 206.169265 133.982245 \nL 206.261974 132.855584 \nL 206.354683 133.833725 \nL 206.63281 134.020609 \nL 207.003646 128.062235 \nL 207.374481 126.118734 \nL 207.46719 126.84811 \nL 207.559899 126.759417 \nL 207.652608 125.073756 \nL 207.930735 124.259394 \nL 208.023444 125.75528 \nL 208.301571 122.343541 \nL 208.579698 121.390973 \nL 208.765116 126.827482 \nL 208.857825 126.570881 \nL 208.950534 128.55893 \nL 209.228661 130.397229 \nL 209.32137 130.316372 \nL 209.414079 129.252832 \nL 209.599497 130.334109 \nL 209.877624 131.139396 \nL 209.970333 130.747479 \nL 210.155751 135.226475 \nL 210.24846 134.698829 \nL 210.526587 134.285459 \nL 210.619296 136.30322 \nL 211.17555 130.877024 \nL 211.268259 129.64764 \nL 211.360968 129.785433 \nL 211.546386 131.273886 \nL 211.824513 129.80317 \nL 212.10264 124.121611 \nL 212.195349 124.779617 \nL 212.473476 125.961139 \nL 212.566185 127.882361 \nL 212.658894 126.435565 \nL 212.751603 127.928158 \nL 212.844312 124.730527 \nL 213.215148 122.813838 \nL 213.307857 123.478038 \nL 213.400566 123.371598 \nL 213.493275 121.138501 \nL 213.771402 121.177691 \nL 213.864111 122.673164 \nL 213.95682 120.870347 \nL 214.049529 123.609224 \nL 214.142238 123.402126 \nL 214.420365 121.270513 \nL 214.513074 121.846836 \nL 214.605783 123.144699 \nL 214.698492 121.172745 \nL 214.791201 127.429801 \nL 215.069328 125.235481 \nL 215.162037 126.439282 \nL 215.254746 126.273851 \nL 215.440164 127.396383 \nL 215.718291 126.468158 \nL 215.996418 121.385202 \nL 216.089127 121.922748 \nL 216.367254 120.725957 \nL 216.459963 119.460274 \nL 216.73809 126.610071 \nL 217.108926 127.539534 \nL 217.201635 126.712381 \nL 217.294344 127.450015 \nL 217.387053 123.345613 \nL 217.66518 123.920697 \nL 217.757889 122.324153 \nL 217.850598 123.976395 \nL 217.943307 123.11541 \nL 218.036016 119.544424 \nL 218.499561 115.329875 \nL 218.684979 112.087283 \nL 218.963106 113.246114 \nL 219.055815 109.081481 \nL 219.148524 111.01631 \nL 219.333942 107.101682 \nL 219.612069 106.71884 \nL 219.704778 106.196562 \nL 219.797487 103.475422 \nL 219.890196 103.780287 \nL 219.982905 101.70684 \nL 220.353741 99.358228 \nL 220.44645 101.710556 \nL 220.631868 97.441549 \nL 220.909995 97.318198 \nL 221.002704 98.701037 \nL 221.095413 102.146195 \nL 221.188122 100.877621 \nL 221.280831 95.289711 \nL 221.558958 94.302083 \nL 221.837085 89.66797 \nL 221.929794 90.08134 \nL 222.207921 90.447684 \nL 222.30063 88.61021 \nL 222.393339 93.663052 \nL 222.578757 83.53509 \nL 222.856884 83.954644 \nL 222.949593 83.286738 \nL 223.135011 76.347332 \nL 223.505847 74.885277 \nL 223.598556 75.876209 \nL 223.691265 75.353922 \nL 223.783974 71.703318 \nL 223.876683 72.612567 \nL 224.15481 67.282497 \nL 224.525646 86.88247 \nL 224.896482 73.669098 \nL 225.0819 78.464512 \nL 225.174609 73.077505 \nL 225.545445 72.502834 \nL 225.823572 65.2008 \nL 226.101699 62.984201 \nL 226.194408 69.817167 \nL 226.287117 67.755674 \nL 226.750662 80.168312 \nL 227.121498 64.973901 \nL 227.399625 63.658715 \nL 227.585043 55.979187 \nL 227.677752 58.867823 \nL 227.770461 54.776624 \nL 228.141297 57.821616 \nL 228.234006 57.34018 \nL 228.419424 51.707702 \nL 228.882969 58.17806 \nL 229.068387 49.434176 \nL 229.346514 51.23948 \nL 229.71735 40.062008 \nL 230.088186 34.040493 \nL 230.273604 37.295061 \nL 230.366313 31.219943 \nL 230.64444 38.699786 \nL 230.737149 33.820201 \nL 230.922567 47.800094 \nL 231.293403 41.45928 \nL 231.386112 50.643346 \nL 231.664239 34.264512 \nL 231.942366 33.939432 \nL 232.127784 39.484023 \nL 232.220493 52.668116 \nL 232.313202 52.26506 \nL 232.591329 54.547247 \nL 232.776747 73.895171 \nL 232.962165 60.354231 \nL 233.240292 55.359545 \nL 233.42571 72.887731 \nL 233.889255 106.608281 \nL 234.074673 81.867589 \nL 234.167382 85.892776 \nL 234.538218 96.965058 \nL 234.723636 86.14402 \nL 234.816345 94.801678 \nL 234.909054 81.95174 \nL 235.187181 77.844044 \nL 235.27989 77.937279 \nL 235.465308 86.379994 \nL 235.558017 87.575959 \nL 235.836143 84.928253 \nL 235.928852 87.139897 \nL 236.11427 97.651114 \nL 236.206979 93.683266 \nL 236.485106 94.220813 \nL 236.577815 88.375888 \nL 236.670524 89.421682 \nL 236.763233 88.980261 \nL 236.855942 96.389974 \nL 237.226778 101.916828 \nL 237.319487 109.817877 \nL 237.412196 103.490681 \nL 237.504905 107.33683 \nL 237.875741 104.397039 \nL 238.153868 86.145671 \nL 238.431995 84.318511 \nL 238.524704 82.142753 \nL 238.617413 84.594501 \nL 238.802831 79.388194 \nL 239.080958 79.41707 \nL 239.173667 85.528507 \nL 239.266376 80.118808 \nL 239.359085 83.124197 \nL 239.451794 80.035061 \nL 239.729921 82.445151 \nL 239.82263 74.836177 \nL 239.915339 76.392293 \nL 240.008048 71.921969 \nL 240.100757 77.024313 \nL 240.378884 79.722359 \nL 240.471593 78.907584 \nL 240.564302 80.006185 \nL 240.657011 79.077134 \nL 240.74972 79.521858 \nL 241.027847 77.002034 \nL 241.213265 77.036279 \nL 241.305974 80.206686 \nL 241.398683 75.855582 \nL 241.67681 75.226855 \nL 241.769519 76.183966 \nL 241.954937 69.649671 \nL 242.047646 65.813433 \nL 242.325773 64.916149 \nL 242.418482 65.331151 \nL 242.6039 70.564702 \nL 242.696609 68.610475 \nL 242.974736 70.440113 \nL 243.252863 77.51566 \nL 243.623699 87.652284 \nL 243.716408 84.82553 \nL 243.901826 93.335081 \nL 243.994535 82.706698 \nL 244.272662 82.415036 \nL 244.45808 78.459556 \nL 244.643498 85.622971 \nL 245.014334 81.282594 \nL 245.107043 79.972766 \nL 245.199752 80.785486 \nL 245.292461 76.667467 \nL 245.663297 76.194692 \nL 245.756006 77.624154 \nL 245.941424 72.907532 \nL 246.219551 72.934767 \nL 246.497678 69.716508 \nL 246.590387 64.561357 \nL 246.961223 66.467722 \nL 247.146641 73.023873 \nL 247.23935 71.582445 \nL 247.610186 78.040415 \nL 247.702895 83.424118 \nL 247.795604 76.485941 \nL 247.888313 78.879111 \nL 248.16644 81.620889 \nL 248.259149 84.615541 \nL 248.444567 80.549502 \nL 248.537276 90.79876 \nL 248.815403 81.047446 \nL 249.09353 89.858983 \nL 249.186239 85.307379 \nL 249.464366 86.742622 \nL 249.649784 98.04138 \nL 249.742493 95.592522 \nL 249.835202 96.510846 \nL 250.206038 102.732429 \nL 250.298747 109.933794 \nL 250.391456 106.265041 \nL 250.484165 113.967653 \nL 250.855001 102.381353 \nL 250.94771 111.805925 \nL 251.133128 99.594202 \nL 251.503964 95.77858 \nL 251.689382 106.094252 \nL 251.782091 102.988204 \nL 252.152927 107.000198 \nL 252.431054 97.764151 \nL 252.709181 96.855315 \nL 252.80189 99.746015 \nL 252.894599 98.631733 \nL 253.080017 111.180502 \nL 253.358144 118.029563 \nL 253.543562 110.541058 \nL 253.636271 111.193293 \nL 253.72898 114.384327 \nL 254.099816 120.672324 \nL 254.192525 123.308075 \nL 254.377943 123.500317 \nL 254.65607 117.046064 \nL 254.934197 132.759458 \nL 255.026906 130.900944 \nL 255.305033 130.138976 \nL 255.397742 128.482202 \nL 255.490451 121.215228 \nL 255.58316 126.602235 \nL 255.675869 122.079104 \nL 256.139414 116.359584 \nL 256.324832 129.062242 \nL 256.602959 128.64722 \nL 256.695668 132.016053 \nL 256.881086 144.674978 \nL 256.973795 141.066867 \nL 257.344631 136.090753 \nL 257.43734 138.02806 \nL 257.622758 134.672018 \nL 257.993594 137.911316 \nL 258.086303 146.970783 \nL 258.179012 132.969034 \nL 258.271721 133.829183 \nL 258.549848 141.436092 \nL 258.642557 139.952172 \nL 258.735266 141.271488 \nL 258.920684 131.087828 \nL 259.29152 131.420754 \nL 259.569647 122.886446 \nL 259.940483 126.149675 \nL 260.033192 122.375721 \nL 260.125901 122.969368 \nL 260.21861 128.372056 \nL 260.496737 126.230945 \nL 260.682155 122.484215 \nL 260.774864 125.641831 \nL 260.867573 125.173186 \nL 261.1457 131.084122 \nL 261.238409 130.990886 \nL 261.331118 132.062262 \nL 261.423827 131.656315 \nL 261.516536 135.102712 \nL 261.794663 138.551173 \nL 261.887372 136.398097 \nL 261.980081 139.416277 \nL 262.07279 135.334154 \nL 262.165499 139.13079 \nL 262.536335 139.338301 \nL 262.721753 146.24595 \nL 262.814462 148.344144 \nL 263.092589 145.596192 \nL 263.185298 145.647347 \nL 263.463425 152.883783 \nL 263.741552 151.583443 \nL 263.92697 147.520707 \nL 264.019679 148.75545 \nL 264.112388 152.352421 \nL 264.575932 159.594638 \nL 264.668641 156.491068 \nL 264.76135 160.996467 \nL 265.039477 161.538138 \nL 265.132186 158.939109 \nL 265.317604 163.852923 \nL 265.410313 159.992744 \nL 265.68844 159.217164 \nL 266.059276 164.468436 \nL 266.337403 164.270418 \nL 266.522821 171.153718 \nL 266.708239 167.534055 \nL 266.986366 168.212689 \nL 267.079075 166.891721 \nL 267.171784 160.363208 \nL 267.264493 162.373953 \nL 267.635329 160.166428 \nL 267.728038 162.738641 \nL 268.006165 150.38088 \nL 268.284292 152.589634 \nL 268.46971 156.918876 \nL 268.562419 153.92298 \nL 268.655128 154.574802 \nL 269.025964 152.677098 \nL 269.118673 149.005041 \nL 269.211382 149.920061 \nL 269.304091 153.239391 \nL 269.674927 148.849924 \nL 269.767636 150.776917 \nL 269.860345 149.406446 \nL 269.953054 152.078909 \nL 270.32389 153.884203 \nL 270.416599 154.683709 \nL 270.602017 149.941101 \nL 270.880144 149.16181 \nL 270.972853 144.304927 \nL 271.065562 145.106498 \nL 271.158271 147.157254 \nL 271.25098 145.872595 \nL 271.621816 147.574753 \nL 271.807234 153.655239 \nL 271.899943 152.063227 \nL 272.270779 150.570232 \nL 272.363488 147.577221 \nL 272.456197 148.890352 \nL 272.548906 146.591657 \nL 272.827033 148.998444 \nL 272.919742 151.962568 \nL 273.012451 150.227405 \nL 273.197869 156.738181 \nL 273.568705 155.573157 \nL 273.661414 158.54059 \nL 273.846832 154.914738 \nL 274.124959 155.230743 \nL 274.217668 156.529437 \nL 274.495795 152.113979 \nL 274.773922 151.005468 \nL 274.866631 151.816526 \nL 275.052049 152.40276 \nL 275.144758 154.967132 \nL 275.422885 157.019952 \nL 275.515594 155.673407 \nL 275.608303 159.340514 \nL 275.793721 154.658136 \nL 276.071848 154.232801 \nL 276.164557 156.751799 \nL 276.349975 155.726627 \nL 276.442684 156.844208 \nL 276.720811 155.66392 \nL 276.906229 159.012125 \nL 276.998938 158.296362 \nL 277.091647 156.623498 \nL 277.369774 156.065324 \nL 277.462483 156.483645 \nL 277.647901 153.655652 \nL 277.74061 154.207228 \nL 278.204155 156.822755 \nL 278.389573 159.232428 \nL 278.6677 158.997274 \nL 278.760409 157.850817 \nL 278.853118 158.949423 \nL 279.038536 161.786899 \nL 279.316663 162.98864 \nL 279.409372 162.281131 \nL 279.502081 163.588481 \nL 279.59479 163.350442 \nL 279.687499 163.11117 \nL 280.058335 161.07526 \nL 280.336462 166.372742 \nL 280.707298 165.628924 \nL 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160.505952 \nL 287.9386 162.687073 \nL 288.124018 162.46801 \nL 288.494854 160.294729 \nL 288.587563 160.70686 \nL 288.680272 161.654473 \nL 288.772981 160.389611 \nL 289.051108 160.973775 \nL 289.143817 160.8694 \nL 289.329235 155.606988 \nL 289.421944 155.670517 \nL 289.700071 157.156089 \nL 289.79278 157.062854 \nL 289.885489 157.16393 \nL 290.070907 159.734078 \nL 290.349034 159.496457 \nL 290.441743 157.54017 \nL 290.71987 159.883832 \nL 291.183415 159.585976 \nL 291.368833 158.06204 \nL 291.64696 158.119792 \nL 291.832378 158.908989 \nL 291.925087 158.006342 \nL 292.017796 154.921748 \nL 292.295923 154.36853 \nL 292.388632 155.846261 \nL 292.481341 154.40648 \nL 292.57405 155.6107 \nL 292.666759 155.430418 \nL 293.223012 158.763778 \nL 293.315721 159.80091 \nL 293.686557 159.66436 \nL 293.779266 162.029888 \nL 293.871975 160.043899 \nL 293.964684 160.395387 \nL 294.242811 159.489029 \nL 294.33552 159.655285 \nL 294.428229 161.691603 \nL 294.613647 160.408592 \nL 294.891774 161.285248 \nL 294.984483 163.882625 \nL 295.077192 163.53155 \nL 295.26261 165.96886 \nL 295.633446 164.505153 \nL 295.818864 163.10498 \nL 296.375118 167.273324 \nL 296.467827 167.215985 \nL 296.560536 169.077385 \nL 296.838663 168.552212 \nL 297.024081 166.412758 \nL 297.209499 167.972177 \nL 297.487626 165.736597 \nL 297.765753 161.464291 \nL 298.136589 160.784006 \nL 298.414716 163.120244 \nL 298.507425 163.481634 \nL 298.785552 162.31042 \nL 298.878261 162.376426 \nL 299.063679 164.270831 \nL 299.156388 163.034432 \nL 299.434515 163.427588 \nL 299.527224 165.357471 \nL 299.619933 165.012998 \nL 299.712642 164.227925 \nL 300.176187 164.237 \nL 300.361605 166.691638 \nL 300.454314 165.85046 \nL 300.732441 168.153285 \nL 300.82515 166.17142 \nL 300.917859 167.721352 \nL 301.010568 167.496925 \nL 301.103277 168.24157 \nL 301.381404 167.293131 \nL 301.474113 166.577775 \nL 301.566822 164.503094 \nL 301.659531 165.464319 \nL 301.75224 165.048889 \nL 302.123076 167.459382 \nL 302.308494 169.609563 \nL 302.401203 168.907004 \nL 302.772039 171.704464 \nL 302.864748 170.518812 \nL 302.957457 170.933008 \nL 303.050166 172.193328 \nL 303.421002 174.404156 \nL 303.60642 170.490762 \nL 303.699129 171.615353 \nL 303.977256 173.509758 \nL 304.162674 169.624006 \nL 304.348092 167.985376 \nL 304.626219 168.744046 \nL 304.718928 169.495292 \nL 304.811637 171.732519 \nL 304.997055 170.6467 \nL 305.367891 171.072035 \nL 305.553309 173.420647 \nL 305.646018 172.278727 \nL 305.924145 173.417349 \nL 306.016854 175.655401 \nL 306.202272 174.648792 \nL 306.294981 178.093537 \nL 306.665817 176.360438 \nL 306.758526 178.456165 \nL 306.851235 177.595185 \nL 306.943944 179.256089 \nL 307.31478 176.276695 \nL 307.407489 176.818774 \nL 307.592907 179.889756 \nL 307.871034 181.005686 \nL 307.963743 179.247014 \nL 308.056452 183.055621 \nL 308.24187 179.957001 \nL 308.519997 179.872015 \nL 308.705415 184.345235 \nL 308.890833 182.182676 \nL 309.16896 180.581181 \nL 309.447087 184.714873 \nL 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Qrp8b2zTpKxUmnhuo6+87q8aP8f22TAA27c+t/EQX/0XTA83Rr2KH/veVCqMWjZJqNSjr8zV7gbL+/sHwr9nHaU0/pmnSVypMkhLiuGB4p7D/XP/lGGvxnqMaAP33KxUGmUcLKSwupVFS3fSkSUoI/qU7fcl2n/1AA7ZU7NC+XEqFwRdr9wEwsnvLal/70uTjvDdj4+OEklLDST1bB3395gO+7f+6dGJs05q+UmHgme+mR5vG1b721N5tGNa1OQDHdmkGwNVjutUojrMHttNplmOcJn2lwuA5Oxo3LSm+ijOD499OH6z4uDit6cc4TfpKhVFyNdriA/n7eQM5vV9bBncOvs//ecd29G4fySti84Fc5q8/UKs4VP2lSV+pMKrpSFyPHm2a8Nxlw0lOCP4Tg/s+wqb9OQDe2T5V7NGkr1SIVXdd3LpWVFK2alZjO6K3VLvwxKwqk76IpIjIIhH5UURWichfbXkLEflMRNbb781d19wuIhtEZJ2InOkqHyYiK+yxx6S21R6l6oGsvOKqTwohz6Lol47s6r2noCk/dgVT0y8ATjPGDAaGAONFZCQwFZhjjOkJzLH7iEg/YBLQHxgPPCUins+iTwNTgJ72a3zd/SpKRaecAifp3zOhf0R+vmdq5UkjOntHA2sPnthVZdI3jhy7m2i/DDABmGbLpwET7fYE4L/GmAJjzGZgAzBCRNoDTY0xC4wxBnjFdY1SDVZWXhEAHdJTI/LzO7dIY8sD59C/Q7o36WfnFVFcUkpeYWSbnlT4BdWmLyLxIvIDsA/4zBjzHdDWGLMbwH73rNTQEXAPAdxhyzrabf/yQD9viogsEZEl+/fvr8avo1T08cyT07ZpSoQjKZuHZ9OBXC56biF97/wkwhGpcAsq6RtjSowxQ4BOOLX2AZWcHqid3lRSHujnPWuMGW6MGd66dfAjD5WKRnuOOEm/XXrkk7578ZXFWw5HMBIVKdXqvWOMyQTm4bTF77VNNtjv++xpO4DOrss6AbtseacA5Uo1aLuP5JMYL7RslBTpULjshIxIh6AiLJjeO61FpJndTgXGAWuBD4HL7WmXAx/Y7Q+BSSKSLCLdcG7YLrJNQNkiMtL22rnMdY1SDc7yHZlkTJ3Jp6v20KZJSlRMaXxyr9Y1mgpCNRzBTLjWHphme+DEAdONMTNEZAEwXUSuArYBFwAYY1aJyHRgNVAM3GCM8dwtug54GUgFPrZfStVb+UUlJCfEeQddGWO44/2VHMgu8DbnbDqQS592TSIZpo/azOev6r8qk74xZjkwNED5QWBsBdfcB9wXoHwJUNn9AKXqjU37czjtkS/596QhTBji9ElYtSuLN77bVu7caBqS4h9JaakhLk4oLimlxJhqjfZV9Y++5StVQ5+s2gPAsq1lN0QXbjoY8FzPLJvRwH80bnGpobTU0OOOj+n950949quNEYpMhYMmfaVqaLNdp7aN7Yq5Lzufe2euiWRIQeneupHPfkmpYcXOI979x+ZsCHdIKow06StVQ28vdYadGFtz/vnj31R4rv86tZH09/MG+ewXl5b6tPN7RhCrhkmTvlI1cDi30LtdUOxMaOYZhDUio0W58+f89uTwBBaE9NREn/3SUih0TcqmGjZN+krVwIOz13q3n5jrNIekJDovp0VbDpU7PyE+emr6/opLSyko0ukYYoUmfaVqIKegfJLML6q4thxNzTv+SkqN99MKQNMUXTq7IdP/rlI1kJ1fRP8OTUlNjGfH4TwAurdqxKYDuVwysgsXDu/Mhn059GjTmHeW7qB9hCZbC8bSrYd93pSapUV+5LAKHU36SlXilQVbaNkomXMGtfcpP5JXRPO0JOZvcJYdfOTTdWw6kMvYPm24d+JAAAZ1aubzPVqt3HWEPu2aAiDifKmGS5t3lKrEnR+s4oY3lpUrz84vpmlqAmcPbAfA41847fr7sgvCGl9daJaaxFI71mBQx3S2Hjwa4YhUKGnSVyqA/KISJjxZ1gXzrx+t8i47uHZPFhv25ZCemsgjFwzxue5ng30/EdQHhSWlvPztFgC22IS/9WBuBCNSoaRJX6kAPlm5hx+3Z3r3X/pmCzOX7wZg/KNfA9AkJZHUpHjG9XWWkkiMF64Z0z3ssdbWRrtYemK88MtjnYlwl+84Utklqh7TpK9UALe+9UOVZbl2EFNT2+/9uIwWUTXHTmUeOn8Qj/5qCHEC/1u2E4AxPVszfoDTXNVcb+Y2WJr0laqhM/s7CfKz1XsBWLsnO5LhVMsFwzszcWhHn1WMcguKSUpwUkJmXmHgC1W9p0lfxbQFGw/yqZ04LRh/em8FAJeO7MpJvZxV3Y5p7cxPb0z9W2zcHXJJqSE10Zlh88Y3vo9QRCrUNOmrmHbRcwuZ8upSn7Ivf6p4XWbPtMltmiR7y565ZBgA5w7qEIIIw6e41NA8LbHqE1W9pv30lQK2HzpK5xZpLNlyiMtfXFTueHpqIkfyirz7TVyjVtulp/DF706mS4u0sMQaKsWlpTSPgiUdVWhpTV/FrNcWbvVue+aY/793lnvLWtgEOOvmMbw0+Tifa0v9WnK6t25MQj1fkaq4xPjMtlkfm6tU1er3s1SpWvjz+yu92yU2i28+UNY/PcXe1ExJjPO2dXvkFze8Ccp2Zeb57C/cVH7iOFX/adJXMck9NTLAjzsyWbrVN8l5avPJifHlJkyLqyddM6sjK9/pgvqy/VSzJyuvstNVPaVt+iomnfv4fJ/92976sdw5xaXOCNzEeKFH68ZcPqorjZITWLM7i0nHdQ5LnJHQs62ziHthsc6x3xBp0lcxaWdm1bXYYlvVT4yLIy5O+OuEAaEOK6JW3H0GAEm2XV+TfsOkzTtKVeDFK47jvGM7lltpqqFqkuL8np4BWgWVJP3cgmKy84sqPK6il9b0Vcwp9e9646dZWiLXnXwMx3ZpzrFdmocpquiRbJN+ZUsonvDAFxzJK2LLA+eEKyxVR7Smr2JOnmtpwC4t0ujeqpHP8R/uPIPfnHxMuMOKiMcvGlquzNO88+An6yq8zjNmQbt11j+a9FXMOVpYlvTfuXYUr19zvHe/f4emkQgpYn42uPwo4jhXT6WSKj4Vdbt9FksCrAmsopcmfRVz8lxJX0Ron57Ku9eNYuVfz+SDG06MYGSRcd0px9CvfeA3u0ue/67K6//47vIqz1HRQ9v0Vcw5WlTs3U5NcgZdDevaIlLhRNwfx/fhj+P7BDy2YNNBn/0tB3L5/du+3Vs37tcFV+oTremrmPMXOxL335OG0DhZ6z2B3HRaj3JlxSWlnPLwPJbYpRU9GiXFlztXRS9N+iqmLN5yiMVbnKRV32fFDKVedoCW28+f+CbAmZBbWMIXa/ey5YDW+OsDTfoqpqyzC508dtHQclMrqDIpieVr76t3Z1V4/pUvL+FXzy4IZUiqjmjSVzFlb1Y+cQJn22UBVWCHj1Z/5ay9WQUhiETVNU36KqbszMyjbdOUej8Ncqid1qdNja7bdvAok19axLcbDtTo+swavNmo6qnymS8inUVkroisEZFVInKLLW8hIp+JyHr7vbnrmttFZIOIrBORM13lw0RkhT32mNSXVaRVg1BYXMqa3dn1frGTcGjVOJk/jO8NQH5R4GmkR/doxeBO6T5lJz00l7nr9nPFS4ur/TMvfn4hQ+75jI9X7K5+wCpowVR3ioHfGWP6AiOBG0SkHzAVmGOM6QnMsfvYY5OA/sB44CkR8TQQPg1MAXrar/F1+LsoVakL/7OANbuz6Ng8NdKh1AueOYey8nzn2Bnfvx1TTurO85cPJ8NvNLNHZVM4uK3ZncWEJ+azNyufbzY43UOve31ZLaJWVaky6RtjdhtjltntbGAN0BGYAEyzp00DJtrtCcB/jTEFxpjNwAZghIi0B5oaYxYYZ+z2K65rlKqWf372E68s2BL0+f/4ZC0/bM8E4KMfd4UmqAbGs3DMvz5f71Oe0aoRfzq7LymJ8d5EXVMzl+/mxx1HeGzOejJaOp/AhnWNvfmO/O05ks/KnUcoDvLNszqq1bApIhnAUOA7oK0xZjc4bwyApxGwI7DdddkOW9bRbvuXK1Uta3Zn8dic9dz5waqgr3l63kbvtk4XExxP76Y3FzmLwXtm33SvJfDQBYMqvH7hpqrfEJqmOuMkXv9uG1sOHgWqnvqhoTmSV8T/lu2gtNTwxnfbWL4jk7cWb+fcx+dTVFL3f4ugR6aISGPgXeBWY0xWJc3xgQ6YSsoD/awpOM1AdOnSJdgQVYz4aW92tc73nxTssQCTjKnyGiWVpYe8whJaN05mZPeWPk06nllIkxLiys2/P+nZhVXOwlkcIMFv2JeDMYaGfstv7Z4s5q8/wKwVu1m2LZNpC7byo/00CtAkOcE7YrwuBVXTF5FEnIT/ujHmf7Z4r22ywX7fZ8t3AO5lhToBu2x5pwDl5RhjnjXGDDfGDG/dunWwv4uKEat2lfUXD6ZWuGFfjnd7/h9P5eyB7UMSV0OTnla2jsDfZq5mZ2YeJaW+iT09NZEnfj2Ud689wVvWNCX4Uc5rd/u+gXdukUpOQTHdbp9FTkFxBVc1DOMf/Zp7Z65h2bZMAJ+ED3DOoNA8T4PpvSPAC8AaY8w/XYc+BC6325cDH7jKJ4lIsoh0w7lhu8g2AWWLyEj7mJe5rlHKx5w1ezmQU77fd25BMc9+tcm7P+SeT6t8rNmr9ni305J02oVgDXe1rb/xndPE8/4P5etp5w7qwMBO6Xxy6xh+uvcsfrzrDDqkp9Cpear3Poq//KISMqbO5EPX/ZX/O7M3L11xnHf/3hmrAZi3bh+PfFrxNM/1zVc/7Wf7oaNVnvd/Z/YOyc8PpqZ/InApcJqI/GC/zgYeAE4XkfXA6XYfY8wqYDqwGvgEuMEY4+nzdR3wPM7N3Y3Ax3X5y6iGYVdmHldNW8KdH6wsd2zCk85UAJeN6gpAdn7ltcHiklLeXOTcYpr+m1G0aJRUx9E2XNVtXunTrilJCXGICH3bN2XH4TwmPhl46obJfl06tzxwDjec2oMebcqmf/jvYuf/dsVLi3n8iw0cLaz/Nf/Mo4Vc9uIixjw416f8F0N9b292bJZKy8bJIYkhmN47840xYowZZIwZYr9mGWMOGmPGGmN62u+HXNfcZ4w5xhjT2xjzsat8iTFmgD12o9EVGJSfw7mFfLfZuQE4a8UeMqbOZO46p+Vw4aaD3qaaG10Tgv3+7R8rbOd/fv5m73q4I7rF7kyaNVXTmSoWVTHHfqsmZQnt89+e7HPMcwM5JTGOXa61jPvdObtmwUSRIfd8FrB8bF+nH8y/Jw3hlStH8PUfTg1ZDDosUUWN9XuzGfq3z7jtLd+pez21Qk+t/ryhHWnTJIXfnt4LgHeW7uDa15YGfEx3+7+qvkGdmvnsvx/kegMXH9+10uOebrMPXzCYHm0a+xzbeP/ZAOQXlXLCA1/4HKvPA7cC9Wb61fDOpCXFc/aA9vx45xlMGNKRk3q19lnIpq5p0ldR4/R/fVXhsZ2ZeRTZPsvXnNQdwKdd9GhB4FGjnpkf/z1pSB1FGVvu+8UAn/0hnZsFdd3vz+jlvaFbUOz7v3Hvnz+sE9Vx3evLyJg6k2nfbqnWddEg0KfRB345kOV3nUFcnPjcOA8lTfoqKuzNyvfZv3fiAD7/7cn8ztbmT3zgC2bZWp5npGicq815j9/14HTV3Hwgl8tGdWXCEB0SUhP9O6R7p2OojoT4OG46rScAH/rd/PWsr3tM68CjeaH8m8vVo7v57N/1YfBjNKLBtG+3eMeV3HluP2+5iIR9HihN+iqicguKGf/oVxx//xxv2S1je/LrEV3o0aYxN5xa1nY/Y7mT9JvZGpF/zcj/Rt9Pe3PIKSimT7vYWve2rh3TunHVJwWQYvuYvzB/s0/5Z6v3AnDruF4VXnvruJ4+++MHtKO+ddt/deFW76fRv37kJPyTerVm8okZJCfEccUJGRGJS5O+qjPGGB6fs55l2w5XfbL13NebWLun7GPvgttP47bTe3nbNP3bNpMS4rzdLm8d15PbxvXyjhA9mFPIaY/MI2PqTPZl5fPe9zsBOLWPjvWoDc9I3Oq6cLjTdDPY3hcwxnDyQ3O54z2nV1bf9uUXavE4pXcb/vHLgd79zi3S+PTWk3zOycov4tWFW6NyBO93mw7yl/dXMvHJb9iwL8e7QlvXFmmICOvuPYu7f94/IrFp0ld15tWFW3nks58476lvgxpYU1pqeNQ1r8tt43rRPr38ZGgzbhrt3R7iurGYlpTALeN6cnq/tgAczC1kk12v9ae9OTzzpTP1QtsmKTX6fZRVw5yanBBPzzaNycp3mnPyi0rZerDsPky3VpV/ghjQsWwGz9aNk8vd8H1q7kb+8v5K3rdv7tHkV88uBJzn5Lh/fkkXO6/Q1LMCr0UcTpr0VZ2Yv/6Az1w4Fz+3sMpruv9pls/+DaceE/C8AR3T+eneszh/WCf+OqF87cjTn/mgazBXkWuiqlD2hIgFnhkzTzimZbWvbZqa6E36mXm+c+VXtXJZx2ZOBeDeiQOIixNEhB/vOsNba37VTri35WD0LdPo3xS1cmcWE4Z0oFEUrMkc+QhUvZdfVMIlL3znU/bjjiOVXrN0a1k/7jeuPp5e7ZpUekMrKSGOhy8YHPBYSzvg6sFPykZtevrzj++vK2TVlucNtHla9Qe2tW2azPfbMjHG8MqCrdW6tllaEpvuP9vnTTs9NZFXrxrBL576ltxCpxfQ419s4LZxvSL+5r7t4FFe/nYL89bto0frxqx3Tf8BcFxGdIwT0Zq+qrX+dzmDZpqnJfoMKskrLMEYQ2FxKdn5vnOy7zni1MrvOLsvJ/RoRatajD5s2dhJRutcXeJm2J4+Zw5oW+PHVY4+7Zy297MGVv8N9JRebdh9JJ91e7N92t7fvW5UUNcHSuQDO6aXK1uzJ/LjMU56aC4vfrOZTQdyWb8vhzvP7ecz4dwvj61e99RQ0Zq+qrb8ohL6/OUTRnVvSUarNO+L+cMbR9O5RRrXnXIMT8/bSN87P/G5zv0CWGdfpBcO70xtBZpPxzN5lf/gIlV9Pdo0Ye3fxgdcLL0qJ/ZsBcA3Gw56Zzvt064Jw7rWvNYb6BPhb15dyvw/nlbjxwyF7n5dUkMxY2ZNaNJX1eaZRGvBpoMssKMMn710GJ3tMoT+/bI98gpLSE6IIy5OWLjpEEO7NAv5gJR2TfUmbl2oScIHp12+a8s05q/fz9x1+wHfG/M1dUrv1syzjwew43BeJWeHXqAlJT2dEqqaXjrcNOmrarn9fyu8i2q4neFqO9+ZGfgFuHF/Dpe9uIjUxHh2Zub5zOJYV47v1oKs/GLW7M6ie+tGUXHjLNZ1aZHmTfgQuKZeXScc05J56/Zz27he/OvznwAiOgf/ip1l97CuGdONnm2b0LtdxV1SI0nb9FXQ8gpLAib8lycfF+DsMo/YG7DnPj6fQ7mF3jeFLL92/rpw/ak96NXW6dqnC6BHh9rcr6nI1aO789pVx3Pz2LLBe5sPRKYXz+YDucywcwl9eOOJ3HFOvzpptgwVrQapoLnnt3/v+hM4mFPI4M7NaN3E90XdpUUa2w4dZUzPVlxxQgZDu5Sv0bdqnMQrVx5f5zGO6dGKWXbkrvvjv4qcNFdb9p/P6VsnjxkXJ4y29wuGdW3O0q2HOe2RL5n3+1MqXKw9VE59eJ53u2eb6Kzdu2nSV0Hbl+0k/YoSuYexo3nunTiAri0DvwD/c+kw2qXXfXt7XJxwNED7qooc94jeoV2a1fnjt3StkbD7SH61k74xhgdnr2NEtxac2rtN1Re4XPifBT770XKztjLavKOCdsEz3wIwxc5yWZHEOOdpJa5lkZ+++Fifc+Lj6vapd8+E/rx+tfPJwTOhV4cQvKmo6nOvmlFSWvF5NeVe/nLH4apXpPK3YucRnp63kdvfXVHtaxdtrnzdgGikSV9VqaC4hN++9QOebtYdmpWfKsHt+cuHc+3Jx9C5Rdl5Zw1sz5YHzuGTW8dwRr+2lc67UhOXjcrgxB7Ox31P0v/Xr4bU6c9QNZOVV3bvxn8qhbow0bXq1P+9s5zDuYWVnF3epS8sAiDPfkIsLTVkTJ3Jb9/6odLrZrnm9v/zOX1Z9pfTq/VzI0WTvqrSf77cxP/s/CbBLKLRvXVjpp7VJ2BPij7tmvLsZcNJTgjdx+Bsm2R0acTo4HkTPuGYliH7nyy4vayP/tC/BV6dqiKe+DyVFM9Ar/8FmNMnp6CYo4XFLNt2mOtfXwY4Cf/qMd3rzfNN2/RVheau2+ezluldP+sX9CIakTSoUzqbDuSGpNeIqr5Mm1Qrm0q5tvwn6vvox138bHAHdmbmcfeHq3jgvIHl1pw9klfEFS8t8u6v3JnFwk0HeWh2xYuwD7ir/JKNl4ysfJWwaKM1/RiyaX8OGVNncuXLi30mJ6uIO+FP/80oJp/YrZKzo8ffzxvErJvH0Lye1Lwauh52Pv72YbzHctOb3wPw2sKtfLZ6L6c98mW5c05+aC7fb8v0KZv07EKfrp9rXdM7BFrS+6IRXWo8cC1SNOnHkJm2K+MXa/cx7N7POf/pbymu4M7aatfasr8Y2rFeLSqemhRPvw66cEq0uPvn/Xn3ulHeEduhcka/8vMsHbVTfDcOMEjPPY6jd9uye0yHcgu9PY7GP/q1N9kfLSzfK+x+v+Uk6wNN+g3cvmxnGcHth47yyGc/+RxbsvUw/e6cXW4N07cWb+Psx7727v9tYv17YqvokZoUX6u5doL1zCXDfPZnLN/FNDuzZ1pSPOtci/VsP3SU5a6ZYGfcPJrfn1HW/HRq77KFd/703goyps70Tizo0aJRUsRGANeGBPrIEk2GDx9ulixZEukw6qUHPl7LM19u5IRjWvLtRmeOnItGdOaXx3bi189/R2GxU8tvkpzAir+e6b0uY+pM77b/1LZKRbMftmcy8clvKjy+4b6zSIiPo9cdH3vXCWiaksDyu53n/+HcQn739o/c9bN+nPzQvICPcf8vBjKmZ6uQf3KpLRFZaowZ7l+uNf0Gavuho96VozwJH+DeiQMZntGCn+49ixF2fu/sgmLvJwK3LQ+cowlf1StDOjfjvetPqPD4m4u3A2ULw/Ru24RFd4zzHm/eKIkXrziOri0bVdhT7dfHd4n6hF8ZTfpRKCu/iMyjheXmoK/M9MXbueGNZZSUGgbcNZsxD84td847147yWa1o+rWjeGvKSABG3DeHyS8tYsfho4g4SxcqVR+1bOTbS6e7a4TufTNXs821ZOPs206q8EbskM7N+O3pzuvA3fRT32mXzSjzwvzN/G3Gau9+MHOJPPPlRh74eC0AG/fleNenPa1PG1btOsLerIIKm2nc883PXbef0f9w3iwyWtXfmoyKbf4LuX9002ge/2IDz3y5kSYpiVz72lIAxvWteoGdm8f25Jox3UlNimdw52ZsOVj9Eb/RRpN+lHEnfIB/fLKWp/1uULnd9tYPvOcaRLLW3qyadfMY+nVoSmFxKUUlpRU206QmxfPiFcO58mXf+yYVzZmjVLRzz/AhAo2SE5h6Vh8+XbWHTQdy2W/nkPpdkLV3z3w6Y3q2ZkzPOg837LR5J0rkFBR7b6AO69qcB88fRGpiPB+v3EOvP3/s0/PA43BuoTfhv3bV8dx+Vh/Aaaf0dFlMSoirck750/qUr/H0DMFweaXCIdU21/Rs05gvf1+2fOcQv8neqppOpKHSmn6UeGXBFu/29accw9i+bWmSnMB1ry+jsLiUx+as50nXpGVFJaV8smoPAC9eMZzRPVsxumcrfj6kQ41Wi5px02gKikton55Ki0ZJ9W7AiVIeTVIS+eJ3J9OxearPdB/uhd1TE+NpmhKb6S82f+soU1pqePmbLXRv1YhnLxtGDzsn91hXm+PiLYcoKill8eZD3P7eCra62hbd08H6D0cP1oAAi00rVV91b13+k+ot43ry1U/7Wb8vh7yiknrZx74uaPNOmGXlF/GX91eyZncWz3+9ielLtjP2n1+yL7uAwZ2beRM+OE0zC28fyw2nHsO+7AK+Xr+fXz//nU/CH9QpPWafvEpVR9OURP5XSXfOWKE1/TB6+ZvN3P2Rc6P21YVbyx2//pRjypW1S0/htD5teXLuRp+brVPP6kOLRkn8bFCH0AWsVAPTJCWRswe249hKFgFq6DTp18DaPVlc8vx3PHPJMIbbAU77swt48JO1TD6xGzNX7GLWij28e90JpCbGk5IYx5G8Im/C99e7bRMuGdmFnm0DzzE/zG8B8e//crpOJqZUDT11ccW94WJBlUlfRF4EzgX2GWMG2LIWwFtABrAFuNAYc9geux24CigBbjbGzLblw4CXgVRgFnCLifY5IPzkFZZQUFzClFeWciCnkPOfWcCVJ3bjve93cPioM5Dq7aU7vOcfa+f1/s3J3ZmzZh8Al47sym2n92LKK0tolpbI/ecNpE2T6t141YSvlKqpKufeEZGTgBzgFVfSfxA4ZIx5QESmAs2NMX8UkX7Am8AIoAPwOdDLGFMiIouAW4CFOEn/MWPMx1UFGOm5d4wx5BaWUFJqOOexr9lxOK9Wj1fTuWxenL+Ze2as5qrR3fjLuf1qFYNSquGraO6dKmv6xpivRCTDr3gCcIrdngbMA/5oy/9rjCkANovIBmCEiGwBmhpjFthgXgEmAlUm/Ui79rWlzF61t1z5jJtGc95T33rn8AD475SRfLvxIHPW7KVHm8Z88MMun2v+d/0JNZ7LZvKJGbRPT/Hp0aOUUtVV0zb9tsaY3QDGmN0i4ukz2BGnJu+xw5YV2W3/8oBEZAowBaBLly41DLH2NuzLLpfw37/hRBLihAEd01l0x1iG3OM04Wz++9mICCO7t+S3p/cit6CYcX3b0jwtiUte+A6gVjePRISzXAtAK6VUTdT1jdxA1VhTSXlAxphngWfBad6pm9CqZ8HGg7zm6mFzbJdmvDR5BOmpid6yZmlJPHXxsXRqnlqu22Sj5AR+NtjpWbPi7jMoKa1Xty+UUg1UTZP+XhFpb2v57YF9tnwH0Nl1Xidgly3vFKA8Ku3KzOOi55wPLIM7N+PiEV04f1ingE0zZwdR+26SkljlOUopFQ41HZz1IXC53b4c+MBVPklEkkWkG9ATWGSbgrJFZKQ4VeLLXNdEHXcN/+mLj+XC4zrrvPJKqQYhmC6bb+LctG0lIjuAu4AHgOkichWwDbgAwBizSkSmA6uBYuAGY4xnLb7rKOuy+TFRdhM3O7+IgXd/6t0/tXdrnr1sOInxOmhZKdVw6HKJwBNfrOfhT33Xj130p7G0qcHEZUopFQ1q3GWzITLG8MyXm/hs9R6Wbcv0lvdo05hfj+jCxKEdaaEDoJRSDVDMJP0N+3LYfSSPGT/u5q0l28sd/+J3JwecmU8ppRqSBp30jxYWs2TLYQxw+YuLfI6N7tGKZmmJXDW6G33bN9X545VSMaFBJn1jDE9/uZEHP1nnUz6sa3M6NEvl7+cNpHEVq0kppVRD1CAzn4gwd60zdCAhTmiWlsTLk4/ThUKUUjGvQSZ9gOcvO46C4hLtgaOUUi4NNumnpyUCOhJWKaXcdOSRUkrFEE36SikVQzTpK6VUDNGkr5RSMUSTvlJKxRBN+kopFUOifpZNEdkPbK3yxMBaAQfqMJya0jiiKwbQOPxpHL6iIY7axHAAwBgz3v9A1Cf92hCRJYGmFtU4YjsGjUPjqA9xhCoGbd5RSqkYoklfKaViSENP+s9GOgBL4ygTDTGAxuFP4/AVDXGEJIYG3aavlFLKV0Ov6SullHLRpK+UUjFEk75SISYiEukYokW0/C2iJY5I0KRfR0QkKtYmEJEm9nvMPqndouTvEDULO4hIpBeDjpacExX/ExFpZb+H7f8SLf+AahORESJyv4hE9HcQkVEi8hxwXITjOFZE3gGuAjARuEMvIkNE5BoRaRfun+0XRz8ROQki83dwxTFKRN4GHrYxRSTh2jjuATDGlEQohhEi8hrwdxEZGKnXrYgMt/+Th0RkdCT+J+JIE5E3gQ8gvP+Xepf0RaSpiDwJPAHsMMaURqo2JyLX4HSrWgZ8H6EnUEsReRx4ChiEXQ0tnLGISKKI/Ad4ATgZuE9Ejg/Xzw8Qx5vATSLyfyIyzB4L63NdRNrgPEdn4QyJvwW40h4L2/NVRC4HpgF/FpELbVnYPpWKSJyI3AU8D3yM8/y8ARgcrhhsHCIiDwDPADOAvcCNQJdwxgFORcQYc9TuthKR62yMYXmO1rukD/wJGAmcYYx5CiJam+sC3GGMedoYkx+hWtRDOH+CkTi1/Esh7DW6AUC6MWaYMeYSnOdVJOYt6W/jGAxcCxQBt4lImjGmNMyxDAZ+Msa8BDwC/A+YICK9jDEmjIl/J3AaMN7GgTGmOFw/3/7ddwBXGGNeB+4DugJhrSDZHPE1cLoxZhrwEmCA/eGMA5w3XRFpj/PGcxVwnYg0sxXYkOfkepH0RaSbiKTZ3Vdw/lFtROR8EXlYRCaJSMjfsW0cyXa7BU6yWyQip4nIbBH5k4icZ4+H7EVl40i1uzcaY2622/uB1SLSO1Q/2y8Gz6rzAlwoIun29x8JjBWRofbcUP8tPHE0AoaISLwx5iCQD/TDNnmFOI6LROSvIvJzW/Q9MFxEjjHG5AKLgSXAbyB0FRVXHBNs0RfAHmPMp8BWEfmbLQ9Zbd/GcI/rb/EG8IOIJNv/SzbQPlQ/3y8O79/CGDPTGHNYRMYAC4EM4F4ROT1McfzMxlFsjNkNdAO2AF8CU+1zJeSVk6hO+iKSISIf43w0fFVE+hljVuO8Y88GrgfWARcA/ycincIQxxsi0tcYcwg4CLwOTMRpXtkN3Ckig0PxovaL4zUR6e36mAhOzaUDcNSeX+dJzi+G1+3/ZBlODe4Z+3U/0Bm4x1OzDUMcfYAfgfnA0yLSHRgFvAccKyKtQhSHiMi1wB9wXsAPicjVQA5OBeUWe2om8DmQZmt5oY7jQRGZDDQyxhTb034D3CwibY0xRSGOYTPOvYzJQIIxptQYUyAiiUAnnNdtSFT0txDbyQHnf3GFMWYUznPm1/b5E+o4HrZxNBKRrsBmY8wO4DOcXPa2iCTbv1HoGGOi6gs7SthuPwHcbbdvBN4FugNJwOWu8/rhfFwbE4Y4brBxdAM6AvuAqa5z7wfuDFMc04H+fud/gVP797k2xP+TXnb/z8BJdrsl8BgwOUzPjf8CfXDe9B4DPgJuxmlmeQWID+FzdhrwK7s9DngNOAcYhtOmP84e6wt8CKSFMY6z/f5uzwMv2e2zwh2D/X+8Z7ebACPC/D+J8zuvO07FoFOY4ngdp6mtKc5N3I9w3gA/8vxdQv0VjTX9FPC52bQKwBjzBM6LaApO7WWa5wLj1P7bAdvCEMeTrjj247yIzndd1wb4NkxxjMCppbRxnf82TtNXvLHPtBDG4PmfXClOW2Q+cKE9dhDnTXF1HcVQVRwjgSuAXOM0d/3SGPMYsB7nDSi13KPVkIhcJiIn2yY+gDVARxFJMMZ8Dqy08ezHadp4VER6AGNxmsKSwhTHCmA0Ts0aAGPM1cDlInIYGCy1bEOuRgxd7fEWwFERuQLndTKwLj6RBhnHiTiVArczcFo8smsbQ5BxLMf5e/TCud+yCRhmjPkZ0Flsx4NQioq+5QC2Xe0PwDoR+coYM11EDgFDReQne9pKnCdwW+Cwve7nOB+htwCHRERqk+yCjGMVzk3cLsaYP4lIH3F6BpwC7LLHa6Uaf4+uOC+kfbasI9DR1MGN3GrE0BnnSTwLmCEiD+EkPc+TOlxxdMJpKz4ClNjnxp3ATGyTVy1iEJyKxRtAKbARaCROz4vtwECgB7AW51PHv4CWxpjXRKQzMBXnk8g1xpjMMMXxlicOYLtt8noYp3n0BmPMyjDG0BznNXoWcBFQAFxsjFlekxhqEUcrYIeInInTJLkL+IMx5kiY4piOc0P9beBWY0yh66HG1iaOoIXj40QQH4F6AN8BE4ChOF3ursf5+PcXnC5W84Hh9g/rab44AVgKTIxQHLfZ65rivKDPiOTfw17bjTr42F7NGN50/U+G4LQd/yLCz43eOE1P59VBDPH2ey/gNbudgHMfZxrOQJ8XcXpOpdvjLwP3uR4jKYJx3GO306llc0otYrjXbp+Ibe6IUBx/tduDgHMjFMc01/9E8GtyCvVXxGr6no+VxrlbfTyw1BjzgT32Ofbd0BjzNxHpbozZZI99i9OMgDHmW5zmhUjE8Q1ObQUg2xizFuedPBJx5NttMcZsxrmJFpEYjDE/AD/U5OfXURwF9tp1wC9rGUcCcA8QLyKzcN7cS+zjF4vIjTg37/vhvOFMxPm08XecGp+3mc/41ujCHcd39twjwKIIxbDAnvtNTX5+HcaxyJ67HKepJRJxlFD2PzE4HTDCJlKj4ibj9N31dB9bAVwkIhl2PwHnI9K/7P5me90UnAEuy6Igjqs8cdh/XCTj+L62cTS0/0kdxHEyzqfI5sAGG08RcKqIjADvm9I9wD+M0177LDBaRL6z181rCHFEQwwaRx0K58cKm5MaA+/jtMMvA/rY8kdxPrp/g3OnfSBOW2xbe/xWnL7Ox2kcdRtHNMQQTXHYxxwDXOrafwq4Dudm8VJbFofTlvs2kGHLmuHcU2kwcURDDBpH3X1F5oc6N0ABHgDestvxODckR9v9zjhtcMl2v867uWkc0RVDlMWRBiRT1mZ7MfB3u/0DcJPdHg68Wdc/P5riiIYYNI66+4pI844xxtO18lGgm4icaZzeJkeMMfPtsWtxelwU22tq1ftC44j+GKIsjqPGmAJT1gvqdMqG7E8G+orIDJxPIHXSpBStcURDDBpHHYr0uw5OT48vXfsjcAYtzALaaRzhjyMaYoiWOHA+ZcThTBbWw5b1wPmoPpowfVyPhjiiIQaNo/ZfEV0jV0TijDPJ0Ds4d7oLcIaqrzfGbNQ4wh9HNMQQZXF4BlM9jzNy80qc6TduMsZkxVIc0RCDxlEHIv2ug9M+9hXOrIw3axyRjyMaYoiyOEbidPebD1wVy3FEQwwaR+2+omFE7vU47V6nG2MKqjpZ44iZGKIpjh3AHcA/NY6oiEHjqIWINu9A2cf4iAahcURdDNEUh1INScSTvlJKqfCJxlk2lVJKhYgmfaWUiiGa9JVSKoZo0ldKqRiiSV8ppWKIJn2llIoh/w9nZnguTnE8LwAAAABJRU5ErkJggg==\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "df.plot(title=\"Nasdaq\", xlabel=\"\")"
   ]
  }
 ]
}