├── Geoscience_ML_notebook_1.ipynb
├── Geoscience_ML_notebook_2.ipynb
├── Geoscience_ML_notebook_3.ipynb
├── Geoscience_ML_notebook_4.ipynb
├── Geoscience_ML_notebook_6.ipynb
├── Geoscience_ML_support_for_notebook_2.ipynb
├── README.md
├── Table2_Hunt_2013_edit.csv
├── Table2_Hunt_2013_edit_noNames.csv
├── images_4_README
    ├── heatmap.png
    └── linear_model.png
├── predict_drilling_problem.csv
├── qsi_well2_tops.csv
├── qsi_well2_tops_flag.csv
└── qsiwell2_predict.csv


/Geoscience_ML_support_for_notebook_2.ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |  "cells": [
  3 |   {
  4 |    "cell_type": "markdown",
  5 |    "metadata": {},
  6 |    "source": [
  7 |     "### Machine learning in geoscience with scikit-learn - notebook 2 bis\n",
  8 |     "Matteo Niccoli, MyCarta - Calgary, Alberta, Canada\n",
  9 |     "\n",
 10 |     "mycarta.wordpress.com\n",
 11 |     "\n",
 12 |     "matteo@mycarta.ca"
 13 |    ]
 14 |   },
 15 |   {
 16 |    "cell_type": "markdown",
 17 |    "metadata": {},
 18 |    "source": [
 19 |     "##### This short notebook is to prepare an extra independent variable (feature) to be used in notebook 2."
 20 |    ]
 21 |   },
 22 |   {
 23 |    "cell_type": "code",
 24 |    "execution_count": 2,
 25 |    "metadata": {
 26 |     "collapsed": false
 27 |    },
 28 |    "outputs": [],
 29 |    "source": [
 30 |     "import pandas as pd\n",
 31 |     "import matplotlib as mpl\n",
 32 |     "import matplotlib.pyplot as plt\n",
 33 |     "import numpy as np\n",
 34 |     "import scipy as sp\n",
 35 |     "import seaborn as sns\n",
 36 |     "import math\n",
 37 |     "\n",
 38 |     "%matplotlib inline"
 39 |    ]
 40 |   },
 41 |   {
 42 |    "cell_type": "code",
 43 |    "execution_count": 3,
 44 |    "metadata": {
 45 |     "collapsed": true
 46 |    },
 47 |    "outputs": [],
 48 |    "source": [
 49 |     "data = pd.read_csv('Table2_Hunt_2013_nonames.csv')"
 50 |    ]
 51 |   },
 52 |   {
 53 |    "cell_type": "code",
 54 |    "execution_count": 4,
 55 |    "metadata": {
 56 |     "collapsed": false
 57 |    },
 58 |    "outputs": [
 59 |     {
 60 |      "data": {
 61 |       "text/html": [
 62 |        "<div>\n",
 63 |        "<table border=\"1\" class=\"dataframe\">\n",
 64 |        "  <thead>\n",
 65 |        "    <tr style=\"text-align: right;\">\n",
 66 |        "      <th></th>\n",
 67 |        "      <th>X1</th>\n",
 68 |        "      <th>X2</th>\n",
 69 |        "      <th>X3</th>\n",
 70 |        "      <th>X4</th>\n",
 71 |        "      <th>X5</th>\n",
 72 |        "      <th>X6</th>\n",
 73 |        "      <th>Y</th>\n",
 74 |        "    </tr>\n",
 75 |        "  </thead>\n",
 76 |        "  <tbody>\n",
 77 |        "    <tr>\n",
 78 |        "      <th>count</th>\n",
 79 |        "      <td>21.000000</td>\n",
 80 |        "      <td>21.000000</td>\n",
 81 |        "      <td>21.000000</td>\n",
 82 |        "      <td>21.000000</td>\n",
 83 |        "      <td>21.000000</td>\n",
 84 |        "      <td>21.000000</td>\n",
 85 |        "      <td>21.000000</td>\n",
 86 |        "    </tr>\n",
 87 |        "    <tr>\n",
 88 |        "      <th>mean</th>\n",
 89 |        "      <td>9.823810</td>\n",
 90 |        "      <td>68.880952</td>\n",
 91 |        "      <td>1.885714</td>\n",
 92 |        "      <td>15.285714</td>\n",
 93 |        "      <td>10.190476</td>\n",
 94 |        "      <td>292.714286</td>\n",
 95 |        "      <td>33.428571</td>\n",
 96 |        "    </tr>\n",
 97 |        "    <tr>\n",
 98 |        "      <th>std</th>\n",
 99 |        "      <td>5.948521</td>\n",
100 |        "      <td>45.167894</td>\n",
101 |        "      <td>0.708721</td>\n",
102 |        "      <td>2.759400</td>\n",
103 |        "      <td>6.439092</td>\n",
104 |        "      <td>59.429069</td>\n",
105 |        "      <td>15.141909</td>\n",
106 |        "    </tr>\n",
107 |        "    <tr>\n",
108 |        "      <th>min</th>\n",
109 |        "      <td>0.100000</td>\n",
110 |        "      <td>0.500000</td>\n",
111 |        "      <td>1.000000</td>\n",
112 |        "      <td>10.000000</td>\n",
113 |        "      <td>1.000000</td>\n",
114 |        "      <td>210.000000</td>\n",
115 |        "      <td>7.710000</td>\n",
116 |        "    </tr>\n",
117 |        "    <tr>\n",
118 |        "      <th>25%</th>\n",
119 |        "      <td>4.900000</td>\n",
120 |        "      <td>24.600000</td>\n",
121 |        "      <td>1.100000</td>\n",
122 |        "      <td>14.000000</td>\n",
123 |        "      <td>6.000000</td>\n",
124 |        "      <td>245.000000</td>\n",
125 |        "      <td>22.670000</td>\n",
126 |        "    </tr>\n",
127 |        "    <tr>\n",
128 |        "      <th>50%</th>\n",
129 |        "      <td>10.000000</td>\n",
130 |        "      <td>72.900000</td>\n",
131 |        "      <td>2.000000</td>\n",
132 |        "      <td>16.000000</td>\n",
133 |        "      <td>10.000000</td>\n",
134 |        "      <td>273.000000</td>\n",
135 |        "      <td>36.420000</td>\n",
136 |        "    </tr>\n",
137 |        "    <tr>\n",
138 |        "      <th>75%</th>\n",
139 |        "      <td>15.100000</td>\n",
140 |        "      <td>100.000000</td>\n",
141 |        "      <td>2.200000</td>\n",
142 |        "      <td>17.000000</td>\n",
143 |        "      <td>13.000000</td>\n",
144 |        "      <td>340.000000</td>\n",
145 |        "      <td>44.200000</td>\n",
146 |        "    </tr>\n",
147 |        "    <tr>\n",
148 |        "      <th>max</th>\n",
149 |        "      <td>19.100000</td>\n",
150 |        "      <td>160.000000</td>\n",
151 |        "      <td>2.900000</td>\n",
152 |        "      <td>20.000000</td>\n",
153 |        "      <td>21.000000</td>\n",
154 |        "      <td>395.000000</td>\n",
155 |        "      <td>59.200000</td>\n",
156 |        "    </tr>\n",
157 |        "  </tbody>\n",
158 |        "</table>\n",
159 |        "</div>"
160 |       ],
161 |       "text/plain": [
162 |        "              X1          X2         X3         X4         X5          X6  \\\n",
163 |        "count  21.000000   21.000000  21.000000  21.000000  21.000000   21.000000   \n",
164 |        "mean    9.823810   68.880952   1.885714  15.285714  10.190476  292.714286   \n",
165 |        "std     5.948521   45.167894   0.708721   2.759400   6.439092   59.429069   \n",
166 |        "min     0.100000    0.500000   1.000000  10.000000   1.000000  210.000000   \n",
167 |        "25%     4.900000   24.600000   1.100000  14.000000   6.000000  245.000000   \n",
168 |        "50%    10.000000   72.900000   2.000000  16.000000  10.000000  273.000000   \n",
169 |        "75%    15.100000  100.000000   2.200000  17.000000  13.000000  340.000000   \n",
170 |        "max    19.100000  160.000000   2.900000  20.000000  21.000000  395.000000   \n",
171 |        "\n",
172 |        "               Y  \n",
173 |        "count  21.000000  \n",
174 |        "mean   33.428571  \n",
175 |        "std    15.141909  \n",
176 |        "min     7.710000  \n",
177 |        "25%    22.670000  \n",
178 |        "50%    36.420000  \n",
179 |        "75%    44.200000  \n",
180 |        "max    59.200000  "
181 |       ]
182 |      },
183 |      "execution_count": 4,
184 |      "metadata": {},
185 |      "output_type": "execute_result"
186 |     }
187 |    ],
188 |    "source": [
189 |     "data.describe()"
190 |    ]
191 |   },
192 |   {
193 |    "cell_type": "markdown",
194 |    "metadata": {},
195 |    "source": [
196 |     "We will create a fake variable by applying a simple function to X1. This is to simulate the presence of 2 features that correlate highly between one another."
197 |    ]
198 |   },
199 |   {
200 |    "cell_type": "code",
201 |    "execution_count": 5,
202 |    "metadata": {
203 |     "collapsed": false
204 |    },
205 |    "outputs": [
206 |     {
207 |      "data": {
208 |       "image/png": 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BpTHGSVnXIEkqHpleYwoh9AGIMVa3/HMGMBW4IsY4EigJIYzNsgZJUnHJusd0CNA/hPAY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\n",
209 |       "text/plain": [
210 |        "<matplotlib.figure.Figure at 0x117322a90>"
211 |       ]
212 |      },
213 |      "metadata": {},
214 |      "output_type": "display_data"
215 |     }
216 |    ],
217 |    "source": [
218 |     "g = sns.JointGrid(data['X1'], data['Y'])\n",
219 |     "g = g.plot_joint(plt.scatter, color=\"b\", edgecolor=\"white\")\n",
220 |     "g.ax_marg_x.set_axis_off()\n",
221 |     "g.ax_marg_y.set_axis_off()\n",
222 |     "g = g.annotate(sp.stats.pearsonr)"
223 |    ]
224 |   },
225 |   {
226 |    "cell_type": "markdown",
227 |    "metadata": {},
228 |    "source": [
229 |     "We can apply a simple logarithmic function."
230 |    ]
231 |   },
232 |   {
233 |    "cell_type": "code",
234 |    "execution_count": 6,
235 |    "metadata": {
236 |     "collapsed": true
237 |    },
238 |    "outputs": [],
239 |    "source": [
240 |     "X07 = pd.Series(np.log(data['X1'])+data['X1']+5)"
241 |    ]
242 |   },
243 |   {
244 |    "cell_type": "code",
245 |    "execution_count": 7,
246 |    "metadata": {
247 |     "collapsed": false
248 |    },
249 |    "outputs": [
250 |     {
251 |      "data": {
252 |       "image/png": 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nZl2DJKl8ZHqNKYTQDyDG2Nz150vAdGBKjHEUUBNCGJdlDZKk8pJ1j+kQYGAI4X6gFrgU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\nTkSuQmCC\n",
253 |       "text/plain": [
254 |        "<matplotlib.figure.Figure at 0x117429790>"
255 |       ]
256 |      },
257 |      "metadata": {},
258 |      "output_type": "display_data"
259 |     }
260 |    ],
261 |    "source": [
262 |     "g = sns.JointGrid(X07, data['Y'])\n",
263 |     "g = g.plot_joint(plt.scatter, color=\"b\", edgecolor=\"white\")\n",
264 |     "g.ax_marg_x.set_axis_off()\n",
265 |     "g.ax_marg_y.set_axis_off()\n",
266 |     "g = g.annotate(sp.stats.pearsonr)"
267 |    ]
268 |   },
269 |   {
270 |    "cell_type": "code",
271 |    "execution_count": 8,
272 |    "metadata": {
273 |     "collapsed": false
274 |    },
275 |    "outputs": [
276 |     {
277 |      "data": {
278 |       "image/png": 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/azR77gNXFhAAAAAASUVORK5CYII=\n",
279 |       "text/plain": [
280 |        "<matplotlib.figure.Figure at 0x11769e690>"
281 |       ]
282 |      },
283 |      "metadata": {},
284 |      "output_type": "display_data"
285 |     }
286 |    ],
287 |    "source": [
288 |     "g = sns.JointGrid(data['X1'], X07)\n",
289 |     "g = g.plot_joint(plt.scatter, color=\"b\", edgecolor=\"white\")\n",
290 |     "g.ax_marg_x.set_axis_off()\n",
291 |     "g.ax_marg_y.set_axis_off()\n",
292 |     "g = g.annotate(sp.stats.pearsonr)"
293 |    ]
294 |   },
295 |   {
296 |    "cell_type": "markdown",
297 |    "metadata": {},
298 |    "source": [
299 |     "Let's add a bit of random noise to it."
300 |    ]
301 |   },
302 |   {
303 |    "cell_type": "code",
304 |    "execution_count": 9,
305 |    "metadata": {
306 |     "collapsed": false
307 |    },
308 |    "outputs": [],
309 |    "source": [
310 |     "np.random.seed(42)\n",
311 |     "noise = np.random.normal(0,1.5,len(X07))\n",
312 |     "X7 = pd.Series(X07 + noise)"
313 |    ]
314 |   },
315 |   {
316 |    "cell_type": "code",
317 |    "execution_count": 10,
318 |    "metadata": {
319 |     "collapsed": false
320 |    },
321 |    "outputs": [
322 |     {
323 |      "data": {
324 |       "image/png": 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xMcZhwGLg0qyOL0kqTblCoZDZm4cQdgfuA66PMd4eQtghxvh+02P7Aj+NMR65kbfJrkBJ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\nJElJMZgkSUn5/56XTDKCox+fAAAAAElFTkSuQmCC\n",
325 |       "text/plain": [
326 |        "<matplotlib.figure.Figure at 0x117ce7250>"
327 |       ]
328 |      },
329 |      "metadata": {},
330 |      "output_type": "display_data"
331 |     }
332 |    ],
333 |    "source": [
334 |     "g = sns.JointGrid(data['X1'], X7)\n",
335 |     "g = g.plot_joint(plt.scatter, color=\"b\", edgecolor=\"white\")\n",
336 |     "g.ax_marg_x.set_axis_off()\n",
337 |     "g.ax_marg_y.set_axis_off()\n",
338 |     "g = g.annotate(sp.stats.pearsonr)"
339 |    ]
340 |   },
341 |   {
342 |    "cell_type": "code",
343 |    "execution_count": 11,
344 |    "metadata": {
345 |     "collapsed": true
346 |    },
347 |    "outputs": [],
348 |    "source": [
349 |     "data.insert(loc=6, column='X7', value=X7) "
350 |    ]
351 |   },
352 |   {
353 |    "cell_type": "code",
354 |    "execution_count": 12,
355 |    "metadata": {
356 |     "collapsed": false
357 |    },
358 |    "outputs": [
359 |     {
360 |      "data": {
361 |       "text/html": [
362 |        "<div>\n",
363 |        "<table border=\"1\" class=\"dataframe\">\n",
364 |        "  <thead>\n",
365 |        "    <tr style=\"text-align: right;\">\n",
366 |        "      <th></th>\n",
367 |        "      <th>X1</th>\n",
368 |        "      <th>X2</th>\n",
369 |        "      <th>X3</th>\n",
370 |        "      <th>X4</th>\n",
371 |        "      <th>X5</th>\n",
372 |        "      <th>X6</th>\n",
373 |        "      <th>X7</th>\n",
374 |        "      <th>Y</th>\n",
375 |        "    </tr>\n",
376 |        "  </thead>\n",
377 |        "  <tbody>\n",
378 |        "    <tr>\n",
379 |        "      <th>count</th>\n",
380 |        "      <td>21.000000</td>\n",
381 |        "      <td>21.000000</td>\n",
382 |        "      <td>21.000000</td>\n",
383 |        "      <td>21.000000</td>\n",
384 |        "      <td>21.000000</td>\n",
385 |        "      <td>21.000000</td>\n",
386 |        "      <td>21.000000</td>\n",
387 |        "      <td>21.000000</td>\n",
388 |        "    </tr>\n",
389 |        "    <tr>\n",
390 |        "      <th>mean</th>\n",
391 |        "      <td>9.823810</td>\n",
392 |        "      <td>68.880952</td>\n",
393 |        "      <td>1.885714</td>\n",
394 |        "      <td>15.285714</td>\n",
395 |        "      <td>10.190476</td>\n",
396 |        "      <td>292.714286</td>\n",
397 |        "      <td>16.579006</td>\n",
398 |        "      <td>33.428571</td>\n",
399 |        "    </tr>\n",
400 |        "    <tr>\n",
401 |        "      <th>std</th>\n",
402 |        "      <td>5.948521</td>\n",
403 |        "      <td>45.167894</td>\n",
404 |        "      <td>0.708721</td>\n",
405 |        "      <td>2.759400</td>\n",
406 |        "      <td>6.439092</td>\n",
407 |        "      <td>59.429069</td>\n",
408 |        "      <td>6.543232</td>\n",
409 |        "      <td>15.141909</td>\n",
410 |        "    </tr>\n",
411 |        "    <tr>\n",
412 |        "      <th>min</th>\n",
413 |        "      <td>0.100000</td>\n",
414 |        "      <td>0.500000</td>\n",
415 |        "      <td>1.000000</td>\n",
416 |        "      <td>10.000000</td>\n",
417 |        "      <td>1.000000</td>\n",
418 |        "      <td>210.000000</td>\n",
419 |        "      <td>3.542486</td>\n",
420 |        "      <td>7.710000</td>\n",
421 |        "    </tr>\n",
422 |        "    <tr>\n",
423 |        "      <th>25%</th>\n",
424 |        "      <td>4.900000</td>\n",
425 |        "      <td>24.600000</td>\n",
426 |        "      <td>1.100000</td>\n",
427 |        "      <td>14.000000</td>\n",
428 |        "      <td>6.000000</td>\n",
429 |        "      <td>245.000000</td>\n",
430 |        "      <td>11.515947</td>\n",
431 |        "      <td>22.670000</td>\n",
432 |        "    </tr>\n",
433 |        "    <tr>\n",
434 |        "      <th>50%</th>\n",
435 |        "      <td>10.000000</td>\n",
436 |        "      <td>72.900000</td>\n",
437 |        "      <td>2.000000</td>\n",
438 |        "      <td>16.000000</td>\n",
439 |        "      <td>10.000000</td>\n",
440 |        "      <td>273.000000</td>\n",
441 |        "      <td>16.899891</td>\n",
442 |        "      <td>36.420000</td>\n",
443 |        "    </tr>\n",
444 |        "    <tr>\n",
445 |        "      <th>75%</th>\n",
446 |        "      <td>15.100000</td>\n",
447 |        "      <td>100.000000</td>\n",
448 |        "      <td>2.200000</td>\n",
449 |        "      <td>17.000000</td>\n",
450 |        "      <td>13.000000</td>\n",
451 |        "      <td>340.000000</td>\n",
452 |        "      <td>21.971263</td>\n",
453 |        "      <td>44.200000</td>\n",
454 |        "    </tr>\n",
455 |        "    <tr>\n",
456 |        "      <th>max</th>\n",
457 |        "      <td>19.100000</td>\n",
458 |        "      <td>160.000000</td>\n",
459 |        "      <td>2.900000</td>\n",
460 |        "      <td>20.000000</td>\n",
461 |        "      <td>21.000000</td>\n",
462 |        "      <td>395.000000</td>\n",
463 |        "      <td>29.248161</td>\n",
464 |        "      <td>59.200000</td>\n",
465 |        "    </tr>\n",
466 |        "  </tbody>\n",
467 |        "</table>\n",
468 |        "</div>"
469 |       ],
470 |       "text/plain": [
471 |        "              X1          X2         X3         X4         X5          X6  \\\n",
472 |        "count  21.000000   21.000000  21.000000  21.000000  21.000000   21.000000   \n",
473 |        "mean    9.823810   68.880952   1.885714  15.285714  10.190476  292.714286   \n",
474 |        "std     5.948521   45.167894   0.708721   2.759400   6.439092   59.429069   \n",
475 |        "min     0.100000    0.500000   1.000000  10.000000   1.000000  210.000000   \n",
476 |        "25%     4.900000   24.600000   1.100000  14.000000   6.000000  245.000000   \n",
477 |        "50%    10.000000   72.900000   2.000000  16.000000  10.000000  273.000000   \n",
478 |        "75%    15.100000  100.000000   2.200000  17.000000  13.000000  340.000000   \n",
479 |        "max    19.100000  160.000000   2.900000  20.000000  21.000000  395.000000   \n",
480 |        "\n",
481 |        "              X7          Y  \n",
482 |        "count  21.000000  21.000000  \n",
483 |        "mean   16.579006  33.428571  \n",
484 |        "std     6.543232  15.141909  \n",
485 |        "min     3.542486   7.710000  \n",
486 |        "25%    11.515947  22.670000  \n",
487 |        "50%    16.899891  36.420000  \n",
488 |        "75%    21.971263  44.200000  \n",
489 |        "max    29.248161  59.200000  "
490 |       ]
491 |      },
492 |      "execution_count": 12,
493 |      "metadata": {},
494 |      "output_type": "execute_result"
495 |     }
496 |    ],
497 |    "source": [
498 |     "data.describe()"
499 |    ]
500 |   },
501 |   {
502 |    "cell_type": "markdown",
503 |    "metadata": {},
504 |    "source": [
505 |     "Et voilà. We are done. All we are left to do is save the Datafram to a csv file."
506 |    ]
507 |   },
508 |   {
509 |    "cell_type": "code",
510 |    "execution_count": 13,
511 |    "metadata": {
512 |     "collapsed": false
513 |    },
514 |    "outputs": [],
515 |    "source": [
516 |     "data.to_csv('Table2_Hunt_2013_edit_noNames.csv', index=False, float_format='%11.2f')"
517 |    ]
518 |   },
519 |   {
520 |    "cell_type": "markdown",
521 |    "metadata": {},
522 |    "source": [
523 |     "We can also add the column names and save to a different csv file."
524 |    ]
525 |   },
526 |   {
527 |    "cell_type": "code",
528 |    "execution_count": 14,
529 |    "metadata": {
530 |     "collapsed": false
531 |    },
532 |    "outputs": [
533 |     {
534 |      "data": {
535 |       "text/html": [
536 |        "<div>\n",
537 |        "<table border=\"1\" class=\"dataframe\">\n",
538 |        "  <thead>\n",
539 |        "    <tr style=\"text-align: right;\">\n",
540 |        "      <th></th>\n",
541 |        "      <th>Gross pay</th>\n",
542 |        "      <th>Phi-h</th>\n",
543 |        "      <th>Position</th>\n",
544 |        "      <th>Pressure</th>\n",
545 |        "      <th>Random 1</th>\n",
546 |        "      <th>Random 2</th>\n",
547 |        "      <th>Gross pay transform</th>\n",
548 |        "      <th>Production</th>\n",
549 |        "    </tr>\n",
550 |        "  </thead>\n",
551 |        "  <tbody>\n",
552 |        "    <tr>\n",
553 |        "      <th>count</th>\n",
554 |        "      <td>21.000000</td>\n",
555 |        "      <td>21.000000</td>\n",
556 |        "      <td>21.000000</td>\n",
557 |        "      <td>21.000000</td>\n",
558 |        "      <td>21.000000</td>\n",
559 |        "      <td>21.000000</td>\n",
560 |        "      <td>21.000000</td>\n",
561 |        "      <td>21.000000</td>\n",
562 |        "    </tr>\n",
563 |        "    <tr>\n",
564 |        "      <th>mean</th>\n",
565 |        "      <td>9.823810</td>\n",
566 |        "      <td>68.880952</td>\n",
567 |        "      <td>1.885714</td>\n",
568 |        "      <td>15.285714</td>\n",
569 |        "      <td>10.190476</td>\n",
570 |        "      <td>292.714286</td>\n",
571 |        "      <td>16.579006</td>\n",
572 |        "      <td>33.428571</td>\n",
573 |        "    </tr>\n",
574 |        "    <tr>\n",
575 |        "      <th>std</th>\n",
576 |        "      <td>5.948521</td>\n",
577 |        "      <td>45.167894</td>\n",
578 |        "      <td>0.708721</td>\n",
579 |        "      <td>2.759400</td>\n",
580 |        "      <td>6.439092</td>\n",
581 |        "      <td>59.429069</td>\n",
582 |        "      <td>6.543232</td>\n",
583 |        "      <td>15.141909</td>\n",
584 |        "    </tr>\n",
585 |        "    <tr>\n",
586 |        "      <th>min</th>\n",
587 |        "      <td>0.100000</td>\n",
588 |        "      <td>0.500000</td>\n",
589 |        "      <td>1.000000</td>\n",
590 |        "      <td>10.000000</td>\n",
591 |        "      <td>1.000000</td>\n",
592 |        "      <td>210.000000</td>\n",
593 |        "      <td>3.542486</td>\n",
594 |        "      <td>7.710000</td>\n",
595 |        "    </tr>\n",
596 |        "    <tr>\n",
597 |        "      <th>25%</th>\n",
598 |        "      <td>4.900000</td>\n",
599 |        "      <td>24.600000</td>\n",
600 |        "      <td>1.100000</td>\n",
601 |        "      <td>14.000000</td>\n",
602 |        "      <td>6.000000</td>\n",
603 |        "      <td>245.000000</td>\n",
604 |        "      <td>11.515947</td>\n",
605 |        "      <td>22.670000</td>\n",
606 |        "    </tr>\n",
607 |        "    <tr>\n",
608 |        "      <th>50%</th>\n",
609 |        "      <td>10.000000</td>\n",
610 |        "      <td>72.900000</td>\n",
611 |        "      <td>2.000000</td>\n",
612 |        "      <td>16.000000</td>\n",
613 |        "      <td>10.000000</td>\n",
614 |        "      <td>273.000000</td>\n",
615 |        "      <td>16.899891</td>\n",
616 |        "      <td>36.420000</td>\n",
617 |        "    </tr>\n",
618 |        "    <tr>\n",
619 |        "      <th>75%</th>\n",
620 |        "      <td>15.100000</td>\n",
621 |        "      <td>100.000000</td>\n",
622 |        "      <td>2.200000</td>\n",
623 |        "      <td>17.000000</td>\n",
624 |        "      <td>13.000000</td>\n",
625 |        "      <td>340.000000</td>\n",
626 |        "      <td>21.971263</td>\n",
627 |        "      <td>44.200000</td>\n",
628 |        "    </tr>\n",
629 |        "    <tr>\n",
630 |        "      <th>max</th>\n",
631 |        "      <td>19.100000</td>\n",
632 |        "      <td>160.000000</td>\n",
633 |        "      <td>2.900000</td>\n",
634 |        "      <td>20.000000</td>\n",
635 |        "      <td>21.000000</td>\n",
636 |        "      <td>395.000000</td>\n",
637 |        "      <td>29.248161</td>\n",
638 |        "      <td>59.200000</td>\n",
639 |        "    </tr>\n",
640 |        "  </tbody>\n",
641 |        "</table>\n",
642 |        "</div>"
643 |       ],
644 |       "text/plain": [
645 |        "       Gross pay       Phi-h   Position   Pressure   Random 1    Random 2  \\\n",
646 |        "count  21.000000   21.000000  21.000000  21.000000  21.000000   21.000000   \n",
647 |        "mean    9.823810   68.880952   1.885714  15.285714  10.190476  292.714286   \n",
648 |        "std     5.948521   45.167894   0.708721   2.759400   6.439092   59.429069   \n",
649 |        "min     0.100000    0.500000   1.000000  10.000000   1.000000  210.000000   \n",
650 |        "25%     4.900000   24.600000   1.100000  14.000000   6.000000  245.000000   \n",
651 |        "50%    10.000000   72.900000   2.000000  16.000000  10.000000  273.000000   \n",
652 |        "75%    15.100000  100.000000   2.200000  17.000000  13.000000  340.000000   \n",
653 |        "max    19.100000  160.000000   2.900000  20.000000  21.000000  395.000000   \n",
654 |        "\n",
655 |        "       Gross pay transform  Production  \n",
656 |        "count            21.000000   21.000000  \n",
657 |        "mean             16.579006   33.428571  \n",
658 |        "std               6.543232   15.141909  \n",
659 |        "min               3.542486    7.710000  \n",
660 |        "25%              11.515947   22.670000  \n",
661 |        "50%              16.899891   36.420000  \n",
662 |        "75%              21.971263   44.200000  \n",
663 |        "max              29.248161   59.200000  "
664 |       ]
665 |      },
666 |      "execution_count": 14,
667 |      "metadata": {},
668 |      "output_type": "execute_result"
669 |     }
670 |    ],
671 |    "source": [
672 |     "data = data.rename(columns={'X1': 'Gross pay', \n",
673 |     "                        'X2': 'Phi-h',\n",
674 |     "                        'X3': 'Position',\n",
675 |     "                        'X4': 'Pressure',\n",
676 |     "                        'X5': 'Random 1',\n",
677 |     "                        'X6': 'Random 2',\n",
678 |     "                        'X7': 'Gross pay transform',\n",
679 |     "                         'Y': 'Production'})\n",
680 |     "\n",
681 |     "data.describe()"
682 |    ]
683 |   },
684 |   {
685 |    "cell_type": "code",
686 |    "execution_count": 15,
687 |    "metadata": {
688 |     "collapsed": true
689 |    },
690 |    "outputs": [],
691 |    "source": [
692 |     "data.to_csv('Table2_Hunt_2013_edit.csv', index=False, float_format='%11.2f')"
693 |    ]
694 |   }
695 |  ],
696 |  "metadata": {
697 |   "kernelspec": {
698 |    "display_name": "Python 2",
699 |    "language": "python",
700 |    "name": "python2"
701 |   },
702 |   "language_info": {
703 |    "codemirror_mode": {
704 |     "name": "ipython",
705 |     "version": 2
706 |    },
707 |    "file_extension": ".py",
708 |    "mimetype": "text/x-python",
709 |    "name": "python",
710 |    "nbconvert_exporter": "python",
711 |    "pygments_lexer": "ipython2",
712 |    "version": "2.7.11"
713 |   }
714 |  },
715 |  "nbformat": 4,
716 |  "nbformat_minor": 0
717 | }
718 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # predict
 2 | 
 3 | A series of notebooks exploring different Machine Learning methods from [Scikit-Learn](http://scikit-learn.org/stable/).
 4 | 
 5 | - in [Geoscience ML notebook 1](https://github.com/mycarta/predict/blob/master/Geoscience_ML_notebook_1.ipynb), I look at methods for checking, tidying, and visualizing a dataset.
 6 | 
 7 | - in [Geoscience ML notebook 2](https://github.com/mycarta/predict/blob/master/Geoscience_ML_notebook_2.ipynb), I showcase some inferential statistics tools I built for selecting featues.
 8 | 
 9 | - in [Geoscience_ML_notebook 3](https://github.com/mycarta/predict/blob/master/Geoscience_ML_notebook_3.ipynb), I show how to use the prediction interval of a regression to discuss drilling economic risk.
10 | 
11 | - in [Geoscience_ML_notebook 4](https://github.com/mycarta/predict/blob/master/Geoscience_ML_notebook_4.ipynb), I take a quick look at what a simple neural network can learn about drilling problems due to mud loss.
12 | 
13 | - For Geoscience ML notebook 5 a visual tutorial on Support Vector Machines, check the [ML repo](https://github.com/mycarta/ML/tree/master/Matteo_Niccoli), and [read the full article here](https://csegrecorder.com/articles/view/machine-learning-in-geoscience-v-introduction-to-classification-with-svms)
14 | 
15 | - Geoscience ML notebook 6 is currently an evolving notebook. In it I evaluate and compare the performance of different ML methods in predicting a geophysical log from a suite of other logs; I will start with the compressional sonic initially, then see how well we can predict the shear sonic as compared with modeling. The log suite is from the same well (from Pev Avseth PhD Thesis) that Alessandro Amato del Monte used in the 
16 | [Seismic Petrophysics Notebook](https://github.com/seg/tutorials-2015#june-2015) accompanying his [Geophysical tutorial](http://library.seg.org/doi/abs/10.1190/tle34040440.1) article on The Leading Edge.
17 | 
18 | - in Geoscience ML notebook 7, I will summarize my experience in team with with [Mark Dahl](https://github.com/dahlmb) at the [SEG 2016 Machine Learning contest](https://github.com/seg/2016-ml-contest).
19 | 
20 | 
21 | 
22 |  To wet your appetites, here's an example of compressional sonic log prediction using a cross-validated linear model, which will be the benchmark to evaluate the performance of other models in notebook 3, such as SVM and Random Forest:
23 | 
24 | ![linear](https://github.com/mycarta/predict/blob/master/images_4_README/linear_model.png)
25 | 
26 | and below is a heatmap with the pairwise Spearman correlation coefficient between the logs I will use:
27 |  
28 | ![heat](https://github.com/mycarta/predict/blob/master/images_4_README/heatmap.png)
29 | 
30 | 
31 | 


--------------------------------------------------------------------------------
/Table2_Hunt_2013_edit.csv:
--------------------------------------------------------------------------------
 1 | Gross pay,Phi-h,Position,Pressure,Random 1,Random 2,Gross pay transform,Production
 2 |        0.10,       0.50,       2.10,19,5,379,       3.54,      15.10
 3 |        1.00,       4.00,       1.10,16,13,269,       5.79,      21.30
 4 |        1.90,      19.00,       1.00,14,12,245,       8.51,      22.75
 5 |        3.10,      21.70,       2.10,17,6,273,      11.52,      15.72
 6 |        4.10,      24.60,       2.90,11,10,237,      10.16,       7.71
 7 |        4.90,      39.20,       1.10,12,7,278,      11.14,      22.67
 8 |        5.90,      23.60,       2.10,13,13,241,      15.04,      18.11
 9 |        7.00,      63.00,       2.00,13,20,269,      15.10,      24.30
10 |        8.10,      72.90,       2.90,14,1,248,      14.49,      24.04
11 |        8.90,      35.60,       2.80,16,1,210,      16.90,      25.11
12 |       10.00,     100.00,       2.20,16,21,334,      16.61,      36.80
13 |       11.10,      77.70,       2.00,14,1,340,      17.81,      36.42
14 |       11.90,      71.40,       2.90,20,11,224,      19.74,      39.59
15 |       13.00,     117.00,       1.10,16,9,338,      17.70,      51.60
16 |       14.10,     141.00,       1.20,14,10,367,      19.16,      48.05
17 |       15.10,     105.70,       1.00,17,3,363,      21.97,      51.72
18 |       15.90,      79.50,       1.10,20,10,395,      22.15,      59.20
19 |       16.00,     160.00,       1.20,17,15,295,      24.24,      58.30
20 |       17.10,      85.50,       1.90,14,6,266,      23.58,      41.80
21 |       18.00,      90.00,       2.80,18,19,210,      23.77,      44.20
22 |       19.10,     114.60,       2.10,10,21,366,      29.25,      37.51
23 | 


--------------------------------------------------------------------------------
/Table2_Hunt_2013_edit_noNames.csv:
--------------------------------------------------------------------------------
 1 | X1,X2,X3,X4,X5,X6,X7,Y
 2 |        0.10,       0.50,       2.10,19,5,379,       3.54,      15.10
 3 |        1.00,       4.00,       1.10,16,13,269,       5.79,      21.30
 4 |        1.90,      19.00,       1.00,14,12,245,       8.51,      22.75
 5 |        3.10,      21.70,       2.10,17,6,273,      11.52,      15.72
 6 |        4.10,      24.60,       2.90,11,10,237,      10.16,       7.71
 7 |        4.90,      39.20,       1.10,12,7,278,      11.14,      22.67
 8 |        5.90,      23.60,       2.10,13,13,241,      15.04,      18.11
 9 |        7.00,      63.00,       2.00,13,20,269,      15.10,      24.30
10 |        8.10,      72.90,       2.90,14,1,248,      14.49,      24.04
11 |        8.90,      35.60,       2.80,16,1,210,      16.90,      25.11
12 |       10.00,     100.00,       2.20,16,21,334,      16.61,      36.80
13 |       11.10,      77.70,       2.00,14,1,340,      17.81,      36.42
14 |       11.90,      71.40,       2.90,20,11,224,      19.74,      39.59
15 |       13.00,     117.00,       1.10,16,9,338,      17.70,      51.60
16 |       14.10,     141.00,       1.20,14,10,367,      19.16,      48.05
17 |       15.10,     105.70,       1.00,17,3,363,      21.97,      51.72
18 |       15.90,      79.50,       1.10,20,10,395,      22.15,      59.20
19 |       16.00,     160.00,       1.20,17,15,295,      24.24,      58.30
20 |       17.10,      85.50,       1.90,14,6,266,      23.58,      41.80
21 |       18.00,      90.00,       2.80,18,19,210,      23.77,      44.20
22 |       19.10,     114.60,       2.10,10,21,366,      29.25,      37.51
23 | 


--------------------------------------------------------------------------------
/images_4_README/heatmap.png:
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https://raw.githubusercontent.com/mycarta/predict/48db341b4f70d59ee891422265432a08de7be97c/images_4_README/heatmap.png


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/images_4_README/linear_model.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/mycarta/predict/48db341b4f70d59ee891422265432a08de7be97c/images_4_README/linear_model.png


--------------------------------------------------------------------------------
/predict_drilling_problem.csv:
--------------------------------------------------------------------------------
1 | Well,Curvature,Diffraction_imaging,Coherence,AVAz,VVAZ,Problem
2 | A,TRUE,TRUE,FALSE,TRUE,TRUE,TRUE
3 | B,TRUE,TRUE,TRUE,FALSE,TRUE,TRUE
4 | C,FALSE,FALSE,TRUE,TRUE,FALSE,FALSE
5 | D,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE
6 | E,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
7 | F,TRUE,TRUE,FALSE,FALSE,FALSE,TRUE
8 | G,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE
9 | 


--------------------------------------------------------------------------------
/qsi_well2_tops.csv:
--------------------------------------------------------------------------------
 1 | depth,name,id
 2 | 1807,UNDEFINED,0
 3 | 2027,BALDER,1
 4 | 2076,SELE,2
 5 | 2127,LISTA,3
 6 | 2154,HEIMDAL,4
 7 | 2183,OWC,5
 8 | 2458,LISTA,6
 9 | 2491,VALE,7
10 | 2501,TY,8
11 | 2583,VALE,9
12 | 2598,EKOFISK,10
13 | 


--------------------------------------------------------------------------------
/qsi_well2_tops_flag.csv:
--------------------------------------------------------------------------------
   1 | DEPTH,
   2 | 2013.25,0
   3 | 2013.41,0
   4 | 2013.56,0
   5 | 2013.71,0
   6 | 2013.86,0
   7 | 2014.01,0
   8 | 2014.17,0
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  11 | 2014.62,0
  12 | 2014.78,0
  13 | 2014.93,0
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  16 | 2015.39,0
  17 | 2015.54,0
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  19 | 2015.84,0
  20 | 2016,0
  21 | 2016.15,0
  22 | 2016.3,0
  23 | 2016.45,0
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  25 | 2016.76,0
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  31 | 2017.67,0
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 712 | 2121.46,2
 713 | 2121.61,2
 714 | 2121.76,2
 715 | 2121.91,2
 716 | 2122.07,2
 717 | 2122.22,2
 718 | 2122.37,2
 719 | 2122.52,2
 720 | 2122.68,2
 721 | 2122.83,2
 722 | 2122.98,2
 723 | 2123.13,2
 724 | 2123.29,2
 725 | 2123.44,2
 726 | 2123.59,2
 727 | 2123.74,2
 728 | 2123.9,2
 729 | 2124.05,2
 730 | 2124.2,2
 731 | 2124.35,2
 732 | 2124.5,2
 733 | 2124.66,2
 734 | 2124.81,2
 735 | 2124.96,2
 736 | 2125.11,2
 737 | 2125.27,2
 738 | 2125.42,2
 739 | 2125.57,2
 740 | 2125.72,2
 741 | 2125.88,2
 742 | 2126.03,2
 743 | 2126.18,2
 744 | 2126.33,2
 745 | 2126.49,2
 746 | 2126.64,2
 747 | 2126.79,2
 748 | 2126.94,2
 749 | 2127.1,3
 750 | 2127.25,3
 751 | 2127.4,3
 752 | 2127.55,3
 753 | 2127.71,3
 754 | 2127.86,3
 755 | 2128.01,3
 756 | 2128.16,3
 757 | 2128.31,3
 758 | 2128.47,3
 759 | 2128.62,3
 760 | 2128.77,3
 761 | 2128.92,3
 762 | 2129.08,3
 763 | 2129.23,3
 764 | 2129.38,3
 765 | 2129.53,3
 766 | 2129.69,3
 767 | 2129.84,3
 768 | 2129.99,3
 769 | 2130.14,3
 770 | 2130.3,3
 771 | 2130.45,3
 772 | 2130.6,3
 773 | 2130.75,3
 774 | 2130.91,3
 775 | 2131.06,3
 776 | 2131.21,3
 777 | 2131.36,3
 778 | 2131.52,3
 779 | 2131.67,3
 780 | 2131.82,3
 781 | 2131.97,3
 782 | 2132.12,3
 783 | 2132.28,3
 784 | 2132.43,3
 785 | 2132.58,3
 786 | 2132.73,3
 787 | 2132.89,3
 788 | 2133.04,3
 789 | 2133.19,3
 790 | 2133.34,3
 791 | 2133.5,3
 792 | 2133.65,3
 793 | 2133.8,3
 794 | 2133.95,3
 795 | 2134.11,3
 796 | 2134.26,3
 797 | 2134.41,3
 798 | 2134.56,3
 799 | 2134.72,3
 800 | 2134.87,3
 801 | 2135.02,3
 802 | 2135.17,3
 803 | 2135.33,3
 804 | 2135.48,3
 805 | 2135.63,3
 806 | 2135.78,3
 807 | 2135.93,3
 808 | 2136.09,3
 809 | 2136.24,3
 810 | 2136.39,3
 811 | 2136.54,3
 812 | 2136.7,3
 813 | 2136.85,3
 814 | 2137,3
 815 | 2137.15,3
 816 | 2137.31,3
 817 | 2137.46,3
 818 | 2137.61,3
 819 | 2137.76,3
 820 | 2137.92,3
 821 | 2138.07,3
 822 | 2138.22,3
 823 | 2138.37,3
 824 | 2138.53,3
 825 | 2138.68,3
 826 | 2138.83,3
 827 | 2138.98,3
 828 | 2139.14,3
 829 | 2139.29,3
 830 | 2139.44,3
 831 | 2139.59,3
 832 | 2139.74,3
 833 | 2139.9,3
 834 | 2140.05,3
 835 | 2140.2,3
 836 | 2140.35,3
 837 | 2140.51,3
 838 | 2140.66,3
 839 | 2140.81,3
 840 | 2140.96,3
 841 | 2141.12,3
 842 | 2141.27,3
 843 | 2141.42,3
 844 | 2141.57,3
 845 | 2141.73,3
 846 | 2141.88,3
 847 | 2142.03,3
 848 | 2142.18,3
 849 | 2142.34,3
 850 | 2142.49,3
 851 | 2142.64,3
 852 | 2142.79,3
 853 | 2142.95,3
 854 | 2143.1,3
 855 | 2143.25,3
 856 | 2143.4,3
 857 | 2143.55,3
 858 | 2143.71,3
 859 | 2143.86,3
 860 | 2144.01,3
 861 | 2144.16,3
 862 | 2144.32,3
 863 | 2144.47,3
 864 | 2144.62,3
 865 | 2144.77,3
 866 | 2144.93,3
 867 | 2145.08,3
 868 | 2145.23,3
 869 | 2145.38,3
 870 | 2145.54,3
 871 | 2145.69,3
 872 | 2145.84,3
 873 | 2145.99,3
 874 | 2146.15,3
 875 | 2146.3,3
 876 | 2146.45,3
 877 | 2146.6,3
 878 | 2146.76,3
 879 | 2146.91,3
 880 | 2147.06,3
 881 | 2147.21,3
 882 | 2147.36,3
 883 | 2147.52,3
 884 | 2147.67,3
 885 | 2147.82,3
 886 | 2147.97,3
 887 | 2148.13,3
 888 | 2148.28,3
 889 | 2148.43,3
 890 | 2148.58,3
 891 | 2148.74,3
 892 | 2148.89,3
 893 | 2149.04,3
 894 | 2149.19,3
 895 | 2149.35,3
 896 | 2149.5,3
 897 | 2149.65,3
 898 | 2149.8,3
 899 | 2149.96,3
 900 | 2150.11,3
 901 | 2150.26,3
 902 | 2150.41,3
 903 | 2150.57,3
 904 | 2150.72,3
 905 | 2150.87,3
 906 | 2151.02,3
 907 | 2151.17,3
 908 | 2151.33,3
 909 | 2151.48,3
 910 | 2151.63,3
 911 | 2151.78,3
 912 | 2151.94,3
 913 | 2152.09,3
 914 | 2152.24,3
 915 | 2152.39,3
 916 | 2152.55,3
 917 | 2152.7,3
 918 | 2152.85,3
 919 | 2153,3
 920 | 2153.16,3
 921 | 2153.31,3
 922 | 2153.46,3
 923 | 2153.61,3
 924 | 2153.77,3
 925 | 2153.92,3
 926 | 2154.07,4
 927 | 2154.22,4
 928 | 2154.38,4
 929 | 2154.53,4
 930 | 2154.68,4
 931 | 2154.83,4
 932 | 2154.98,4
 933 | 2155.14,4
 934 | 2155.29,4
 935 | 2155.44,4
 936 | 2155.59,4
 937 | 2155.75,4
 938 | 2155.9,4
 939 | 2156.05,4
 940 | 2156.2,4
 941 | 2156.36,4
 942 | 2156.51,4
 943 | 2156.66,4
 944 | 2156.81,4
 945 | 2156.97,4
 946 | 2157.12,4
 947 | 2157.27,4
 948 | 2157.42,4
 949 | 2157.58,4
 950 | 2157.73,4
 951 | 2157.88,4
 952 | 2158.03,4
 953 | 2158.19,4
 954 | 2158.34,4
 955 | 2158.49,4
 956 | 2158.64,4
 957 | 2158.79,4
 958 | 2158.95,4
 959 | 2159.1,4
 960 | 2159.25,4
 961 | 2159.4,4
 962 | 2159.56,4
 963 | 2159.71,4
 964 | 2159.86,4
 965 | 2160.01,4
 966 | 2160.17,4
 967 | 2160.32,4
 968 | 2160.47,4
 969 | 2160.62,4
 970 | 2160.78,4
 971 | 2160.93,4
 972 | 2161.08,4
 973 | 2161.23,4
 974 | 2161.39,4
 975 | 2161.54,4
 976 | 2161.69,4
 977 | 2161.84,4
 978 | 2162,4
 979 | 2162.15,4
 980 | 2162.3,4
 981 | 2162.45,4
 982 | 2162.6,4
 983 | 2162.76,4
 984 | 2162.91,4
 985 | 2163.06,4
 986 | 2163.21,4
 987 | 2163.37,4
 988 | 2163.52,4
 989 | 2163.67,4
 990 | 2163.82,4
 991 | 2163.98,4
 992 | 2164.13,4
 993 | 2164.28,4
 994 | 2164.43,4
 995 | 2164.59,4
 996 | 2164.74,4
 997 | 2164.89,4
 998 | 2165.04,4
 999 | 2165.2,4
1000 | 2165.35,4
1001 | 2165.5,4
1002 | 2165.65,4
1003 | 2165.81,4
1004 | 2165.96,4
1005 | 2166.11,4
1006 | 2166.26,4
1007 | 2166.41,4
1008 | 2166.57,4
1009 | 2166.72,4
1010 | 2166.87,4
1011 | 2167.02,4
1012 | 2167.18,4
1013 | 2167.33,4
1014 | 2167.48,4
1015 | 2167.63,4
1016 | 2167.79,4
1017 | 2167.94,4
1018 | 2168.09,4
1019 | 2168.24,4
1020 | 2168.4,4
1021 | 2168.55,4
1022 | 2168.7,4
1023 | 2168.85,4
1024 | 2169.01,4
1025 | 2169.16,4
1026 | 2169.31,4
1027 | 2169.46,4
1028 | 2169.62,4
1029 | 2169.77,4
1030 | 2169.92,4
1031 | 2170.07,4
1032 | 2170.22,4
1033 | 2170.38,4
1034 | 2170.53,4
1035 | 2170.68,4
1036 | 2170.83,4
1037 | 2170.99,4
1038 | 2171.14,4
1039 | 2171.29,4
1040 | 2171.44,4
1041 | 2171.6,4
1042 | 2171.75,4
1043 | 2171.9,4
1044 | 2172.05,4
1045 | 2172.21,4
1046 | 2172.36,4
1047 | 2172.51,4
1048 | 2172.66,4
1049 | 2172.82,4
1050 | 2172.97,4
1051 | 2173.12,4
1052 | 2173.27,4
1053 | 2173.43,4
1054 | 2173.58,4
1055 | 2173.73,4
1056 | 2173.88,4
1057 | 2174.03,4
1058 | 2174.19,4
1059 | 2174.34,4
1060 | 2174.49,4
1061 | 2174.64,4
1062 | 2174.8,4
1063 | 2174.95,4
1064 | 2175.1,4
1065 | 2175.25,4
1066 | 2175.41,4
1067 | 2175.56,4
1068 | 2175.71,4
1069 | 2175.86,4
1070 | 2176.02,4
1071 | 2176.17,4
1072 | 2176.32,4
1073 | 2176.47,4
1074 | 2176.63,4
1075 | 2176.78,4
1076 | 2176.93,4
1077 | 2177.08,4
1078 | 2177.24,4
1079 | 2177.39,4
1080 | 2177.54,4
1081 | 2177.69,4
1082 | 2177.84,4
1083 | 2178,4
1084 | 2178.15,4
1085 | 2178.3,4
1086 | 2178.45,4
1087 | 2178.61,4
1088 | 2178.76,4
1089 | 2178.91,4
1090 | 2179.06,4
1091 | 2179.22,4
1092 | 2179.37,4
1093 | 2179.52,4
1094 | 2179.67,4
1095 | 2179.83,4
1096 | 2179.98,4
1097 | 2180.13,4
1098 | 2180.28,4
1099 | 2180.44,4
1100 | 2180.59,4
1101 | 2180.74,4
1102 | 2180.89,4
1103 | 2181.05,4
1104 | 2181.2,4
1105 | 2181.35,4
1106 | 2181.5,4
1107 | 2181.65,4
1108 | 2181.81,4
1109 | 2181.96,4
1110 | 2182.11,4
1111 | 2182.26,4
1112 | 2182.42,4
1113 | 2182.57,4
1114 | 2182.72,4
1115 | 2182.87,4
1116 | 2183.03,4
1117 | 2183.18,4
1118 | 2183.33,4
1119 | 2183.48,4
1120 | 2183.64,4
1121 | 2183.79,4
1122 | 2183.94,4
1123 | 2184.09,4
1124 | 2184.25,4
1125 | 2184.4,4
1126 | 2184.55,4
1127 | 2184.7,4
1128 | 2184.86,4
1129 | 2185.01,4
1130 | 2185.16,4
1131 | 2185.31,4
1132 | 2185.46,4
1133 | 2185.62,4
1134 | 2185.77,4
1135 | 2185.92,4
1136 | 2186.07,4
1137 | 2186.23,4
1138 | 2186.38,4
1139 | 2186.53,4
1140 | 2186.68,4
1141 | 2186.84,4
1142 | 2186.99,4
1143 | 2187.14,4
1144 | 2187.29,4
1145 | 2187.45,4
1146 | 2187.6,4
1147 | 2187.75,4
1148 | 2187.9,4
1149 | 2188.06,4
1150 | 2188.21,4
1151 | 2188.36,4
1152 | 2188.51,4
1153 | 2188.67,4
1154 | 2188.82,4
1155 | 2188.97,4
1156 | 2189.12,4
1157 | 2189.27,4
1158 | 2189.43,4
1159 | 2189.58,4
1160 | 2189.73,4
1161 | 2189.88,4
1162 | 2190.04,4
1163 | 2190.19,4
1164 | 2190.34,4
1165 | 2190.49,4
1166 | 2190.65,4
1167 | 2190.8,4
1168 | 2190.95,4
1169 | 2191.1,4
1170 | 2191.26,4
1171 | 2191.41,4
1172 | 2191.56,4
1173 | 2191.71,4
1174 | 2191.87,4
1175 | 2192.02,4
1176 | 2192.17,4
1177 | 2192.32,4
1178 | 2192.48,4
1179 | 2192.63,4
1180 | 2192.78,4
1181 | 2192.93,4
1182 | 2193.08,4
1183 | 2193.24,4
1184 | 2193.39,4
1185 | 2193.54,4
1186 | 2193.69,4
1187 | 2193.85,4
1188 | 2194,4
1189 | 2194.15,4
1190 | 2194.3,4
1191 | 2194.46,4
1192 | 2194.61,4
1193 | 2194.76,4
1194 | 2194.91,4
1195 | 2195.07,4
1196 | 2195.22,4
1197 | 2195.37,4
1198 | 2195.52,4
1199 | 2195.68,4
1200 | 2195.83,4
1201 | 2195.98,4
1202 | 2196.13,4
1203 | 2196.29,4
1204 | 2196.44,4
1205 | 2196.59,4
1206 | 2196.74,4
1207 | 2196.89,4
1208 | 2197.05,4
1209 | 2197.2,4
1210 | 2197.35,4
1211 | 2197.5,4
1212 | 2197.66,4
1213 | 2197.81,4
1214 | 2197.96,4
1215 | 2198.11,4
1216 | 2198.27,4
1217 | 2198.42,4
1218 | 2198.57,4
1219 | 2198.72,4
1220 | 2198.88,4
1221 | 2199.03,4
1222 | 2199.18,4
1223 | 2199.33,4
1224 | 2199.49,4
1225 | 2199.64,4
1226 | 2199.79,4
1227 | 2199.94,4
1228 | 2200.1,4
1229 | 2200.25,4
1230 | 2200.4,4
1231 | 2200.55,4
1232 | 2200.7,4
1233 | 2200.86,4
1234 | 2201.01,4
1235 | 2201.16,4
1236 | 2201.31,4
1237 | 2201.47,4
1238 | 2201.62,4
1239 | 2201.77,4
1240 | 2201.92,4
1241 | 2202.08,4
1242 | 2202.23,4
1243 | 2202.38,4
1244 | 2202.53,4
1245 | 2202.69,4
1246 | 2202.84,4
1247 | 2202.99,4
1248 | 2203.14,4
1249 | 2203.3,4
1250 | 2203.45,4
1251 | 2203.6,4
1252 | 2203.75,4
1253 | 2203.91,4
1254 | 2204.06,4
1255 | 2204.21,4
1256 | 2204.36,4
1257 | 2204.51,4
1258 | 2204.67,4
1259 | 2204.82,4
1260 | 2204.97,4
1261 | 2205.12,4
1262 | 2205.28,4
1263 | 2205.43,4
1264 | 2205.58,4
1265 | 2205.73,4
1266 | 2205.89,4
1267 | 2206.04,4
1268 | 2206.19,4
1269 | 2206.34,4
1270 | 2206.5,4
1271 | 2206.65,4
1272 | 2206.8,4
1273 | 2206.95,4
1274 | 2207.11,4
1275 | 2207.26,4
1276 | 2207.41,4
1277 | 2207.56,4
1278 | 2207.72,4
1279 | 2207.87,4
1280 | 2208.02,4
1281 | 2208.17,4
1282 | 2208.32,4
1283 | 2208.48,4
1284 | 2208.63,4
1285 | 2208.78,4
1286 | 2208.93,4
1287 | 2209.09,4
1288 | 2209.24,4
1289 | 2209.39,4
1290 | 2209.54,4
1291 | 2209.7,4
1292 | 2209.85,4
1293 | 2210,4
1294 | 2210.15,4
1295 | 2210.31,4
1296 | 2210.46,4
1297 | 2210.61,4
1298 | 2210.76,4
1299 | 2210.92,4
1300 | 2211.07,4
1301 | 2211.22,4
1302 | 2211.37,4
1303 | 2211.53,4
1304 | 2211.68,4
1305 | 2211.83,4
1306 | 2211.98,4
1307 | 2212.13,4
1308 | 2212.29,4
1309 | 2212.44,4
1310 | 2212.59,4
1311 | 2212.74,4
1312 | 2212.9,4
1313 | 2213.05,4
1314 | 2213.2,4
1315 | 2213.35,4
1316 | 2213.51,4
1317 | 2213.66,4
1318 | 2213.81,4
1319 | 2213.96,4
1320 | 2214.12,4
1321 | 2214.27,4
1322 | 2214.42,4
1323 | 2214.57,4
1324 | 2214.73,4
1325 | 2214.88,4
1326 | 2215.03,4
1327 | 2215.18,4
1328 | 2215.34,4
1329 | 2215.49,4
1330 | 2215.64,4
1331 | 2215.79,4
1332 | 2215.94,4
1333 | 2216.1,4
1334 | 2216.25,4
1335 | 2216.4,4
1336 | 2216.55,4
1337 | 2216.71,4
1338 | 2216.86,4
1339 | 2217.01,4
1340 | 2217.16,4
1341 | 2217.32,4
1342 | 2217.47,4
1343 | 2217.62,4
1344 | 2217.77,4
1345 | 2217.93,4
1346 | 2218.08,4
1347 | 2218.23,4
1348 | 2218.38,4
1349 | 2218.54,4
1350 | 2218.69,4
1351 | 2218.84,4
1352 | 2218.99,4
1353 | 2219.15,4
1354 | 2219.3,4
1355 | 2219.45,4
1356 | 2219.6,4
1357 | 2219.75,4
1358 | 2219.91,4
1359 | 2220.06,4
1360 | 2220.21,4
1361 | 2220.36,4
1362 | 2220.52,4
1363 | 2220.67,4
1364 | 2220.82,4
1365 | 2220.97,4
1366 | 2221.13,4
1367 | 2221.28,4
1368 | 2221.43,4
1369 | 2221.58,4
1370 | 2221.74,4
1371 | 2221.89,4
1372 | 2222.04,4
1373 | 2222.19,4
1374 | 2222.35,4
1375 | 2222.5,4
1376 | 2222.65,4
1377 | 2222.8,4
1378 | 2222.96,4
1379 | 2223.11,4
1380 | 2223.26,4
1381 | 2223.41,4
1382 | 2223.56,4
1383 | 2223.72,4
1384 | 2223.87,4
1385 | 2224.02,4
1386 | 2224.17,4
1387 | 2224.33,4
1388 | 2224.48,4
1389 | 2224.63,4
1390 | 2224.78,4
1391 | 2224.94,4
1392 | 2225.09,4
1393 | 2225.24,4
1394 | 2225.39,4
1395 | 2225.55,4
1396 | 2225.7,4
1397 | 2225.85,4
1398 | 2226,4
1399 | 2226.16,4
1400 | 2226.31,4
1401 | 2226.46,4
1402 | 2226.61,4
1403 | 2226.77,4
1404 | 2226.92,4
1405 | 2227.07,4
1406 | 2227.22,4
1407 | 2227.37,4
1408 | 2227.53,4
1409 | 2227.68,4
1410 | 2227.83,4
1411 | 2227.98,4
1412 | 2228.14,4
1413 | 2228.29,4
1414 | 2228.44,4
1415 | 2228.59,4
1416 | 2228.75,4
1417 | 2228.9,4
1418 | 2229.05,4
1419 | 2229.2,4
1420 | 2229.36,4
1421 | 2229.51,4
1422 | 2229.66,4
1423 | 2229.81,4
1424 | 2229.97,4
1425 | 2230.12,4
1426 | 2230.27,4
1427 | 2230.42,4
1428 | 2230.58,4
1429 | 2230.73,4
1430 | 2230.88,4
1431 | 2231.03,4
1432 | 2231.18,4
1433 | 2231.34,4
1434 | 2231.49,4
1435 | 2231.64,4
1436 | 2231.79,4
1437 | 2231.95,4
1438 | 2232.1,4
1439 | 2232.25,4
1440 | 2232.4,4
1441 | 2232.56,4
1442 | 2232.71,4
1443 | 2232.86,4
1444 | 2233.01,4
1445 | 2233.17,4
1446 | 2233.32,4
1447 | 2233.47,4
1448 | 2233.62,4
1449 | 2233.78,4
1450 | 2233.93,4
1451 | 2234.08,4
1452 | 2234.23,4
1453 | 2234.39,4
1454 | 2234.54,4
1455 | 2234.69,4
1456 | 2234.84,4
1457 | 2234.99,4
1458 | 2235.15,4
1459 | 2235.3,4
1460 | 2235.45,4
1461 | 2235.6,4
1462 | 2235.76,4
1463 | 2235.91,4
1464 | 2236.06,4
1465 | 2236.21,4
1466 | 2236.37,4
1467 | 2236.52,4
1468 | 2236.67,4
1469 | 2236.82,4
1470 | 2236.98,4
1471 | 2237.13,4
1472 | 2237.28,4
1473 | 2237.43,4
1474 | 2237.59,4
1475 | 2237.74,4
1476 | 2237.89,4
1477 | 2238.04,4
1478 | 2238.2,4
1479 | 2238.35,4
1480 | 2238.5,4
1481 | 2238.65,4
1482 | 2238.8,4
1483 | 2238.96,4
1484 | 2239.11,4
1485 | 2239.26,4
1486 | 2239.41,4
1487 | 2239.57,4
1488 | 2239.72,4
1489 | 2239.87,4
1490 | 2240.02,4
1491 | 2240.18,4
1492 | 2240.33,4
1493 | 2240.48,4
1494 | 2240.63,4
1495 | 2240.79,4
1496 | 2240.94,4
1497 | 2241.09,4
1498 | 2241.24,4
1499 | 2241.4,4
1500 | 2241.55,4
1501 | 2241.7,4
1502 | 2241.85,4
1503 | 2242.01,4
1504 | 2242.16,4
1505 | 2242.31,4
1506 | 2242.46,4
1507 | 2242.61,4
1508 | 2242.77,4
1509 | 2242.92,4
1510 | 2243.07,4
1511 | 2243.22,4
1512 | 2243.38,4
1513 | 2243.53,4
1514 | 2243.68,4
1515 | 2243.83,4
1516 | 2243.99,4
1517 | 2244.14,4
1518 | 2244.29,4
1519 | 2244.44,4
1520 | 2244.6,4
1521 | 2244.75,4
1522 | 2244.9,4
1523 | 2245.05,4
1524 | 2245.21,4
1525 | 2245.36,4
1526 | 2245.51,4
1527 | 2245.66,4
1528 | 2245.82,4
1529 | 2245.97,4
1530 | 2246.12,4
1531 | 2246.27,4
1532 | 2246.42,4
1533 | 2246.58,4
1534 | 2246.73,4
1535 | 2246.88,4
1536 | 2247.03,4
1537 | 2247.19,4
1538 | 2247.34,4
1539 | 2247.49,4
1540 | 2247.64,4
1541 | 2247.8,4
1542 | 2247.95,4
1543 | 2248.1,4
1544 | 2248.25,4
1545 | 2248.41,4
1546 | 2248.56,4
1547 | 2248.71,4
1548 | 2248.86,4
1549 | 2249.02,4
1550 | 2249.17,4
1551 | 2249.32,4
1552 | 2249.47,4
1553 | 2249.63,4
1554 | 2249.78,4
1555 | 2249.93,4
1556 | 2250.08,4
1557 | 2250.23,4
1558 | 2250.39,4
1559 | 2250.54,4
1560 | 2250.69,4
1561 | 2250.84,4
1562 | 2251,4
1563 | 2251.15,4
1564 | 2251.3,4
1565 | 2251.45,4
1566 | 2251.61,4
1567 | 2251.76,4
1568 | 2251.91,4
1569 | 2252.06,4
1570 | 2252.22,4
1571 | 2252.37,4
1572 | 2252.52,4
1573 | 2252.67,4
1574 | 2252.83,4
1575 | 2252.98,4
1576 | 2253.13,4
1577 | 2253.28,4
1578 | 2253.44,4
1579 | 2253.59,4
1580 | 2253.74,4
1581 | 2253.89,4
1582 | 2254.04,4
1583 | 2254.2,4
1584 | 2254.35,4
1585 | 2254.5,4
1586 | 2254.65,4
1587 | 2254.81,4
1588 | 2254.96,4
1589 | 2255.11,4
1590 | 2255.26,4
1591 | 2255.42,4
1592 | 2255.57,4
1593 | 2255.72,4
1594 | 2255.87,4
1595 | 2256.03,4
1596 | 2256.18,4
1597 | 2256.33,4
1598 | 2256.48,4
1599 | 2256.64,4
1600 | 2256.79,4
1601 | 2256.94,4
1602 | 2257.09,4
1603 | 2257.25,4
1604 | 2257.4,4
1605 | 2257.55,4
1606 | 2257.7,4
1607 | 2257.85,4
1608 | 2258.01,4
1609 | 2258.16,4
1610 | 2258.31,4
1611 | 2258.46,4
1612 | 2258.62,4
1613 | 2258.77,4
1614 | 2258.92,4
1615 | 2259.07,4
1616 | 2259.23,4
1617 | 2259.38,4
1618 | 2259.53,4
1619 | 2259.68,4
1620 | 2259.84,4
1621 | 2259.99,4
1622 | 2260.14,4
1623 | 2260.29,4
1624 | 2260.45,4
1625 | 2260.6,4
1626 | 2260.75,4
1627 | 2260.9,4
1628 | 2261.06,4
1629 | 2261.21,4
1630 | 2261.36,4
1631 | 2261.51,4
1632 | 2261.66,4
1633 | 2261.82,4
1634 | 2261.97,4
1635 | 2262.12,4
1636 | 2262.27,4
1637 | 2262.43,4
1638 | 2262.58,4
1639 | 2262.73,4
1640 | 2262.88,4
1641 | 2263.04,4
1642 | 2263.19,4
1643 | 2263.34,4
1644 | 2263.49,4
1645 | 2263.65,4
1646 | 2263.8,4
1647 | 2263.95,4
1648 | 2264.1,4
1649 | 2264.26,4
1650 | 2264.41,4
1651 | 2264.56,4
1652 | 2264.71,4
1653 | 2264.87,4
1654 | 2265.02,4
1655 | 2265.17,4
1656 | 2265.32,4
1657 | 2265.47,4
1658 | 2265.63,4
1659 | 2265.78,4
1660 | 2265.93,4
1661 | 2266.08,4
1662 | 2266.24,4
1663 | 2266.39,4
1664 | 2266.54,4
1665 | 2266.69,4
1666 | 2266.85,4
1667 | 2267,4
1668 | 2267.15,4
1669 | 2267.3,4
1670 | 2267.46,4
1671 | 2267.61,4
1672 | 2267.76,4
1673 | 2267.91,4
1674 | 2268.07,4
1675 | 2268.22,4
1676 | 2268.37,4
1677 | 2268.52,4
1678 | 2268.68,4
1679 | 2268.83,4
1680 | 2268.98,4
1681 | 2269.13,4
1682 | 2269.28,4
1683 | 2269.44,4
1684 | 2269.59,4
1685 | 2269.74,4
1686 | 2269.89,4
1687 | 2270.05,4
1688 | 2270.2,4
1689 | 2270.35,4
1690 | 2270.5,4
1691 | 2270.66,4
1692 | 2270.81,4
1693 | 2270.96,4
1694 | 2271.11,4
1695 | 2271.27,4
1696 | 2271.42,4
1697 | 2271.57,4
1698 | 2271.72,4
1699 | 2271.88,4
1700 | 2272.03,4
1701 | 2272.18,4
1702 | 2272.33,4
1703 | 2272.49,4
1704 | 2272.64,4
1705 | 2272.79,4
1706 | 2272.94,4
1707 | 2273.09,4
1708 | 2273.25,4
1709 | 2273.4,4
1710 | 2273.55,4
1711 | 2273.7,4
1712 | 2273.86,4
1713 | 2274.01,4
1714 | 2274.16,4
1715 | 2274.31,4
1716 | 2274.47,4
1717 | 2274.62,4
1718 | 2274.77,4
1719 | 2274.92,4
1720 | 2275.08,4
1721 | 2275.23,4
1722 | 2275.38,4
1723 | 2275.53,4
1724 | 2275.69,4
1725 | 2275.84,4
1726 | 2275.99,4
1727 | 2276.14,4
1728 | 2276.3,4
1729 | 2276.45,4
1730 | 2276.6,4
1731 | 2276.75,4
1732 | 2276.9,4
1733 | 2277.06,4
1734 | 2277.21,4
1735 | 2277.36,4
1736 | 2277.51,4
1737 | 2277.67,4
1738 | 2277.82,4
1739 | 2277.97,4
1740 | 2278.12,4
1741 | 2278.28,4
1742 | 2278.43,4
1743 | 2278.58,4
1744 | 2278.73,4
1745 | 2278.89,4
1746 | 2279.04,4
1747 | 2279.19,4
1748 | 2279.34,4
1749 | 2279.5,4
1750 | 2279.65,4
1751 | 2279.8,4
1752 | 2279.95,4
1753 | 2280.11,4
1754 | 2280.26,4
1755 | 2280.41,4
1756 | 2280.56,4
1757 | 2280.71,4
1758 | 2280.87,4
1759 | 2281.02,4
1760 | 2281.17,4
1761 | 2281.32,4
1762 | 2281.48,4
1763 | 2281.63,4
1764 | 2281.78,4
1765 | 2281.93,4
1766 | 2282.09,4
1767 | 2282.24,4
1768 | 2282.39,4
1769 | 2282.54,4
1770 | 2282.7,4
1771 | 2282.85,4
1772 | 2283,4
1773 | 2283.15,4
1774 | 2283.31,4
1775 | 2283.46,4
1776 | 2283.61,4
1777 | 2283.76,4
1778 | 2283.92,4
1779 | 2284.07,4
1780 | 2284.22,4
1781 | 2284.37,4
1782 | 2284.52,4
1783 | 2284.68,4
1784 | 2284.83,4
1785 | 2284.98,4
1786 | 2285.13,4
1787 | 2285.29,4
1788 | 2285.44,4
1789 | 2285.59,4
1790 | 2285.74,4
1791 | 2285.9,4
1792 | 2286.05,4
1793 | 2286.2,4
1794 | 2286.35,4
1795 | 2286.51,4
1796 | 2286.66,4
1797 | 2286.81,4
1798 | 2286.96,4
1799 | 2287.12,4
1800 | 2287.27,4
1801 | 2287.42,4
1802 | 2287.57,4
1803 | 2287.73,4
1804 | 2287.88,4
1805 | 2288.03,4
1806 | 2288.18,4
1807 | 2288.33,4
1808 | 2288.49,4
1809 | 2288.64,4
1810 | 2288.79,4
1811 | 2288.94,4
1812 | 2289.1,4
1813 | 2289.25,4
1814 | 2289.4,4
1815 | 2289.55,4
1816 | 2289.71,4
1817 | 2289.86,4
1818 | 2290.01,4
1819 | 2290.16,4
1820 | 2290.32,4
1821 | 2290.47,4
1822 | 2290.62,4
1823 | 2290.77,4
1824 | 2290.93,4
1825 | 2291.08,4
1826 | 2291.23,4
1827 | 2291.38,4
1828 | 2291.54,4
1829 | 2291.69,4
1830 | 2291.84,4
1831 | 2291.99,4
1832 | 2292.14,4
1833 | 2292.3,4
1834 | 2292.45,4
1835 | 2292.6,4
1836 | 2292.75,4
1837 | 2292.91,4
1838 | 2293.06,4
1839 | 2293.21,4
1840 | 2293.36,4
1841 | 2293.52,4
1842 | 2293.67,4
1843 | 2293.82,4
1844 | 2293.97,4
1845 | 2294.13,4
1846 | 2294.28,4
1847 | 2294.43,4
1848 | 2294.58,4
1849 | 2294.74,4
1850 | 2294.89,4
1851 | 2295.04,4
1852 | 2295.19,4
1853 | 2295.35,4
1854 | 2295.5,4
1855 | 2295.65,4
1856 | 2295.8,4
1857 | 2295.95,4
1858 | 2296.11,4
1859 | 2296.26,4
1860 | 2296.41,4
1861 | 2296.56,4
1862 | 2296.72,4
1863 | 2296.87,4
1864 | 2297.02,4
1865 | 2297.17,4
1866 | 2297.33,4
1867 | 2297.48,4
1868 | 2297.63,4
1869 | 2297.78,4
1870 | 2297.94,4
1871 | 2298.09,4
1872 | 2298.24,4
1873 | 2298.39,4
1874 | 2298.55,4
1875 | 2298.7,4
1876 | 2298.85,4
1877 | 2299,4
1878 | 2299.16,4
1879 | 2299.31,4
1880 | 2299.46,4
1881 | 2299.61,4
1882 | 2299.76,4
1883 | 2299.92,4
1884 | 2300.07,4
1885 | 2300.22,4
1886 | 2300.37,4
1887 | 2300.53,4
1888 | 2300.68,4
1889 | 2300.83,4
1890 | 2300.98,4
1891 | 2301.14,4
1892 | 2301.29,4
1893 | 2301.44,4
1894 | 2301.59,4
1895 | 2301.75,4
1896 | 2301.9,4
1897 | 2302.05,4
1898 | 2302.2,4
1899 | 2302.36,4
1900 | 2302.51,4
1901 | 2302.66,4
1902 | 2302.81,4
1903 | 2302.97,4
1904 | 2303.12,4
1905 | 2303.27,4
1906 | 2303.42,4
1907 | 2303.57,4
1908 | 2303.73,4
1909 | 2303.88,4
1910 | 2304.03,4
1911 | 2304.18,4
1912 | 2304.34,4
1913 | 2304.49,4
1914 | 2304.64,4
1915 | 2304.79,4
1916 | 2304.95,4
1917 | 2305.1,4
1918 | 2305.25,4
1919 | 2305.4,4
1920 | 2305.56,4
1921 | 2305.71,4
1922 | 2305.86,4
1923 | 2306.01,4
1924 | 2306.17,4
1925 | 2306.32,4
1926 | 2306.47,4
1927 | 2306.62,4
1928 | 2306.78,4
1929 | 2306.93,4
1930 | 2307.08,4
1931 | 2307.23,4
1932 | 2307.38,4
1933 | 2307.54,4
1934 | 2307.69,4
1935 | 2307.84,4
1936 | 2307.99,4
1937 | 2308.15,4
1938 | 2308.3,4
1939 | 2308.45,4
1940 | 2308.6,4
1941 | 2308.76,4
1942 | 2308.91,4
1943 | 2309.06,4
1944 | 2309.21,4
1945 | 2309.37,4
1946 | 2309.52,4
1947 | 2309.67,4
1948 | 2309.82,4
1949 | 2309.98,4
1950 | 2310.13,4
1951 | 2310.28,4
1952 | 2310.43,4
1953 | 2310.59,4
1954 | 2310.74,4
1955 | 2310.89,4
1956 | 2311.04,4
1957 | 2311.19,4
1958 | 2311.35,4
1959 | 2311.5,4
1960 | 2311.65,4
1961 | 2311.8,4
1962 | 2311.96,4
1963 | 2312.11,4
1964 | 2312.26,4
1965 | 2312.41,4
1966 | 2312.57,4
1967 | 2312.72,4
1968 | 2312.87,4
1969 | 2313.02,4
1970 | 2313.18,4
1971 | 2313.33,4
1972 | 2313.48,4
1973 | 2313.63,4
1974 | 2313.79,4
1975 | 2313.94,4
1976 | 2314.09,4
1977 | 2314.24,4
1978 | 2314.4,4
1979 | 2314.55,4
1980 | 2314.7,4
1981 | 2314.85,4
1982 | 2315,4
1983 | 2315.16,4
1984 | 2315.31,4
1985 | 2315.46,4
1986 | 2315.61,4
1987 | 2315.77,4
1988 | 2315.92,4
1989 | 2316.07,4
1990 | 2316.22,4
1991 | 2316.38,4
1992 | 2316.53,4
1993 | 2316.68,4
1994 | 2316.83,4
1995 | 2316.99,4
1996 | 2317.14,4
1997 | 2317.29,4
1998 | 2317.44,4
1999 | 2317.6,4
2000 | 2317.75,4
2001 | 2317.9,4
2002 | 2318.05,4
2003 | 2318.21,4
2004 | 2318.36,4
2005 | 2318.51,4
2006 | 2318.66,4
2007 | 2318.81,4
2008 | 2318.97,4
2009 | 2319.12,4
2010 | 2319.27,4
2011 | 2319.42,4
2012 | 2319.58,4
2013 | 2319.73,4
2014 | 2319.88,4
2015 | 2320.03,4
2016 | 2320.19,4
2017 | 2320.34,4
2018 | 2320.49,4
2019 | 2320.64,4
2020 | 2320.8,4
2021 | 2320.95,4
2022 | 2321.1,4
2023 | 2321.25,4
2024 | 2321.41,4
2025 | 2321.56,4
2026 | 2321.71,4
2027 | 2321.86,4
2028 | 2322.02,4
2029 | 2322.17,4
2030 | 2322.32,4
2031 | 2322.47,4
2032 | 2322.62,4
2033 | 2322.78,4
2034 | 2322.93,4
2035 | 2323.08,4
2036 | 2323.23,4
2037 | 2323.39,4
2038 | 2323.54,4
2039 | 2323.69,4
2040 | 2323.84,4
2041 | 2324,4
2042 | 2324.15,4
2043 | 2324.3,4
2044 | 2324.45,4
2045 | 2324.61,4
2046 | 2324.76,4
2047 | 2324.91,4
2048 | 2325.06,4
2049 | 2325.22,4
2050 | 2325.37,4
2051 | 2325.52,4
2052 | 2325.67,4
2053 | 2325.83,4
2054 | 2325.98,4
2055 | 2326.13,4
2056 | 2326.28,4
2057 | 2326.43,4
2058 | 2326.59,4
2059 | 2326.74,4
2060 | 2326.89,4
2061 | 2327.04,4
2062 | 2327.2,4
2063 | 2327.35,4
2064 | 2327.5,4
2065 | 2327.65,4
2066 | 2327.81,4
2067 | 2327.96,4
2068 | 2328.11,4
2069 | 2328.26,4
2070 | 2328.42,4
2071 | 2328.57,4
2072 | 2328.72,4
2073 | 2328.87,4
2074 | 2329.03,4
2075 | 2329.18,4
2076 | 2329.33,4
2077 | 2329.48,4
2078 | 2329.64,4
2079 | 2329.79,4
2080 | 2329.94,4
2081 | 2330.09,4
2082 | 2330.24,4
2083 | 2330.4,4
2084 | 2330.55,4
2085 | 2330.7,4
2086 | 2330.85,4
2087 | 2331.01,4
2088 | 2331.16,4
2089 | 2331.31,4
2090 | 2331.46,4
2091 | 2331.62,4
2092 | 2331.77,4
2093 | 2331.92,4
2094 | 2332.07,4
2095 | 2332.23,4
2096 | 2332.38,4
2097 | 2332.53,4
2098 | 2332.68,4
2099 | 2332.84,4
2100 | 2332.99,4
2101 | 2333.14,4
2102 | 2333.29,4
2103 | 2333.45,4
2104 | 2333.6,4
2105 | 2333.75,4
2106 | 2333.9,4
2107 | 2334.05,4
2108 | 2334.21,4
2109 | 2334.36,4
2110 | 2334.51,4
2111 | 2334.66,4
2112 | 2334.82,4
2113 | 2334.97,4
2114 | 2335.12,4
2115 | 2335.27,4
2116 | 2335.43,4
2117 | 2335.58,4
2118 | 2335.73,4
2119 | 2335.88,4
2120 | 2336.04,4
2121 | 2336.19,4
2122 | 2336.34,4
2123 | 2336.49,4
2124 | 2336.65,4
2125 | 2336.8,4
2126 | 2336.95,4
2127 | 2337.1,4
2128 | 2337.26,4
2129 | 2337.41,4
2130 | 2337.56,4
2131 | 2337.71,4
2132 | 2337.86,4
2133 | 2338.02,4
2134 | 2338.17,4
2135 | 2338.32,4
2136 | 2338.47,4
2137 | 2338.63,4
2138 | 2338.78,4
2139 | 2338.93,4
2140 | 2339.08,4
2141 | 2339.24,4
2142 | 2339.39,4
2143 | 2339.54,4
2144 | 2339.69,4
2145 | 2339.85,4
2146 | 2340,4
2147 | 2340.15,4
2148 | 2340.3,4
2149 | 2340.46,4
2150 | 2340.61,4
2151 | 2340.76,4
2152 | 2340.91,4
2153 | 2341.07,4
2154 | 2341.22,4
2155 | 2341.37,4
2156 | 2341.52,4
2157 | 2341.67,4
2158 | 2341.83,4
2159 | 2341.98,4
2160 | 2342.13,4
2161 | 2342.28,4
2162 | 2342.44,4
2163 | 2342.59,4
2164 | 2342.74,4
2165 | 2342.89,4
2166 | 2343.05,4
2167 | 2343.2,4
2168 | 2343.35,4
2169 | 2343.5,4
2170 | 2343.66,4
2171 | 2343.81,4
2172 | 2343.96,4
2173 | 2344.11,4
2174 | 2344.27,4
2175 | 2344.42,4
2176 | 2344.57,4
2177 | 2344.72,4
2178 | 2344.88,4
2179 | 2345.03,4
2180 | 2345.18,4
2181 | 2345.33,4
2182 | 2345.48,4
2183 | 2345.64,4
2184 | 2345.79,4
2185 | 2345.94,4
2186 | 2346.09,4
2187 | 2346.25,4
2188 | 2346.4,4
2189 | 2346.55,4
2190 | 2346.7,4
2191 | 2346.86,4
2192 | 2347.01,4
2193 | 2347.16,4
2194 | 2347.31,4
2195 | 2347.47,4
2196 | 2347.62,4
2197 | 2347.77,4
2198 | 2347.92,4
2199 | 2348.08,4
2200 | 2348.23,4
2201 | 2348.38,4
2202 | 2348.53,4
2203 | 2348.69,4
2204 | 2348.84,4
2205 | 2348.99,4
2206 | 2349.14,4
2207 | 2349.29,4
2208 | 2349.45,4
2209 | 2349.6,4
2210 | 2349.75,4
2211 | 2349.9,4
2212 | 2350.06,4
2213 | 2350.21,4
2214 | 2350.36,4
2215 | 2350.51,4
2216 | 2350.67,4
2217 | 2350.82,4
2218 | 2350.97,4
2219 | 2351.12,4
2220 | 2351.28,4
2221 | 2351.43,4
2222 | 2351.58,4
2223 | 2351.73,4
2224 | 2351.89,4
2225 | 2352.04,4
2226 | 2352.19,4
2227 | 2352.34,4
2228 | 2352.5,4
2229 | 2352.65,4
2230 | 2352.8,4
2231 | 2352.95,4
2232 | 2353.1,4
2233 | 2353.26,4
2234 | 2353.41,4
2235 | 2353.56,4
2236 | 2353.71,4
2237 | 2353.87,4
2238 | 2354.02,4
2239 | 2354.17,4
2240 | 2354.32,4
2241 | 2354.48,4
2242 | 2354.63,4
2243 | 2354.78,4
2244 | 2354.93,4
2245 | 2355.09,4
2246 | 2355.24,4
2247 | 2355.39,4
2248 | 2355.54,4
2249 | 2355.7,4
2250 | 2355.85,4
2251 | 2356,4
2252 | 2356.15,4
2253 | 2356.31,4
2254 | 2356.46,4
2255 | 2356.61,4
2256 | 2356.76,4
2257 | 2356.91,4
2258 | 2357.07,4
2259 | 2357.22,4
2260 | 2357.37,4
2261 | 2357.52,4
2262 | 2357.68,4
2263 | 2357.83,4
2264 | 2357.98,4
2265 | 2358.13,4
2266 | 2358.29,4
2267 | 2358.44,4
2268 | 2358.59,4
2269 | 2358.74,4
2270 | 2358.9,4
2271 | 2359.05,4
2272 | 2359.2,4
2273 | 2359.35,4
2274 | 2359.51,4
2275 | 2359.66,4
2276 | 2359.81,4
2277 | 2359.96,4
2278 | 2360.12,4
2279 | 2360.27,4
2280 | 2360.42,4
2281 | 2360.57,4
2282 | 2360.72,4
2283 | 2360.88,4
2284 | 2361.03,4
2285 | 2361.18,4
2286 | 2361.33,4
2287 | 2361.49,4
2288 | 2361.64,4
2289 | 2361.79,4
2290 | 2361.94,4
2291 | 2362.1,4
2292 | 2362.25,4
2293 | 2362.4,4
2294 | 2362.55,4
2295 | 2362.71,4
2296 | 2362.86,4
2297 | 2363.01,4
2298 | 2363.16,4
2299 | 2363.32,4
2300 | 2363.47,4
2301 | 2363.62,4
2302 | 2363.77,4
2303 | 2363.93,4
2304 | 2364.08,4
2305 | 2364.23,4
2306 | 2364.38,4
2307 | 2364.53,4
2308 | 2364.69,4
2309 | 2364.84,4
2310 | 2364.99,4
2311 | 2365.14,4
2312 | 2365.3,4
2313 | 2365.45,4
2314 | 2365.6,4
2315 | 2365.75,4
2316 | 2365.91,4
2317 | 2366.06,4
2318 | 2366.21,4
2319 | 2366.36,4
2320 | 2366.52,4
2321 | 2366.67,4
2322 | 2366.82,4
2323 | 2366.97,4
2324 | 2367.13,4
2325 | 2367.28,4
2326 | 2367.43,4
2327 | 2367.58,4
2328 | 2367.74,4
2329 | 2367.89,4
2330 | 2368.04,4
2331 | 2368.19,4
2332 | 2368.34,4
2333 | 2368.5,4
2334 | 2368.65,4
2335 | 2368.8,4
2336 | 2368.95,4
2337 | 2369.11,4
2338 | 2369.26,4
2339 | 2369.41,4
2340 | 2369.56,4
2341 | 2369.72,4
2342 | 2369.87,4
2343 | 2370.02,4
2344 | 2370.17,4
2345 | 2370.33,4
2346 | 2370.48,4
2347 | 2370.63,4
2348 | 2370.78,4
2349 | 2370.94,4
2350 | 2371.09,4
2351 | 2371.24,4
2352 | 2371.39,4
2353 | 2371.55,4
2354 | 2371.7,4
2355 | 2371.85,4
2356 | 2372,4
2357 | 2372.15,4
2358 | 2372.31,4
2359 | 2372.46,4
2360 | 2372.61,4
2361 | 2372.76,4
2362 | 2372.92,4
2363 | 2373.07,4
2364 | 2373.22,4
2365 | 2373.37,4
2366 | 2373.53,4
2367 | 2373.68,4
2368 | 2373.83,4
2369 | 2373.98,4
2370 | 2374.14,4
2371 | 2374.29,4
2372 | 2374.44,4
2373 | 2374.59,4
2374 | 2374.75,4
2375 | 2374.9,4
2376 | 2375.05,4
2377 | 2375.2,4
2378 | 2375.36,4
2379 | 2375.51,4
2380 | 2375.66,4
2381 | 2375.81,4
2382 | 2375.96,4
2383 | 2376.12,4
2384 | 2376.27,4
2385 | 2376.42,4
2386 | 2376.57,4
2387 | 2376.73,4
2388 | 2376.88,4
2389 | 2377.03,4
2390 | 2377.18,4
2391 | 2377.34,4
2392 | 2377.49,4
2393 | 2377.64,4
2394 | 2377.79,4
2395 | 2377.95,4
2396 | 2378.1,4
2397 | 2378.25,4
2398 | 2378.4,4
2399 | 2378.56,4
2400 | 2378.71,4
2401 | 2378.86,4
2402 | 2379.01,4
2403 | 2379.17,4
2404 | 2379.32,4
2405 | 2379.47,4
2406 | 2379.62,4
2407 | 2379.77,4
2408 | 2379.93,4
2409 | 2380.08,4
2410 | 2380.23,4
2411 | 2380.38,4
2412 | 2380.54,4
2413 | 2380.69,4
2414 | 2380.84,4
2415 | 2380.99,4
2416 | 2381.15,4
2417 | 2381.3,4
2418 | 2381.45,4
2419 | 2381.6,4
2420 | 2381.76,4
2421 | 2381.91,4
2422 | 2382.06,4
2423 | 2382.21,4
2424 | 2382.37,4
2425 | 2382.52,4
2426 | 2382.67,4
2427 | 2382.82,4
2428 | 2382.98,4
2429 | 2383.13,4
2430 | 2383.28,4
2431 | 2383.43,4
2432 | 2383.58,4
2433 | 2383.74,4
2434 | 2383.89,4
2435 | 2384.04,4
2436 | 2384.19,4
2437 | 2384.35,4
2438 | 2384.5,4
2439 | 2384.65,4
2440 | 2384.8,4
2441 | 2384.96,4
2442 | 2385.11,4
2443 | 2385.26,4
2444 | 2385.41,4
2445 | 2385.57,4
2446 | 2385.72,4
2447 | 2385.87,4
2448 | 2386.02,4
2449 | 2386.18,4
2450 | 2386.33,4
2451 | 2386.48,4
2452 | 2386.63,4
2453 | 2386.79,4
2454 | 2386.94,4
2455 | 2387.09,4
2456 | 2387.24,4
2457 | 2387.39,4
2458 | 2387.55,4
2459 | 2387.7,4
2460 | 2387.85,4
2461 | 2388,4
2462 | 2388.16,4
2463 | 2388.31,4
2464 | 2388.46,4
2465 | 2388.61,4
2466 | 2388.77,4
2467 | 2388.92,4
2468 | 2389.07,4
2469 | 2389.22,4
2470 | 2389.38,4
2471 | 2389.53,4
2472 | 2389.68,4
2473 | 2389.83,4
2474 | 2389.99,4
2475 | 2390.14,4
2476 | 2390.29,4
2477 | 2390.44,4
2478 | 2390.6,4
2479 | 2390.75,4
2480 | 2390.9,4
2481 | 2391.05,4
2482 | 2391.2,4
2483 | 2391.36,4
2484 | 2391.51,4
2485 | 2391.66,4
2486 | 2391.81,4
2487 | 2391.97,4
2488 | 2392.12,4
2489 | 2392.27,4
2490 | 2392.42,4
2491 | 2392.58,4
2492 | 2392.73,4
2493 | 2392.88,4
2494 | 2393.03,4
2495 | 2393.19,4
2496 | 2393.34,4
2497 | 2393.49,4
2498 | 2393.64,4
2499 | 2393.8,4
2500 | 2393.95,4
2501 | 2394.1,4
2502 | 2394.25,4
2503 | 2394.41,4
2504 | 2394.56,4
2505 | 2394.71,4
2506 | 2394.86,4
2507 | 2395.01,4
2508 | 2395.17,4
2509 | 2395.32,4
2510 | 2395.47,4
2511 | 2395.62,4
2512 | 2395.78,4
2513 | 2395.93,4
2514 | 2396.08,4
2515 | 2396.23,4
2516 | 2396.39,4
2517 | 2396.54,4
2518 | 2396.69,4
2519 | 2396.84,4
2520 | 2397,4
2521 | 2397.15,4
2522 | 2397.3,4
2523 | 2397.45,4
2524 | 2397.61,4
2525 | 2397.76,4
2526 | 2397.91,4
2527 | 2398.06,4
2528 | 2398.22,4
2529 | 2398.37,4
2530 | 2398.52,4
2531 | 2398.67,4
2532 | 2398.82,4
2533 | 2398.98,4
2534 | 2399.13,4
2535 | 2399.28,4
2536 | 2399.43,4
2537 | 2399.59,4
2538 | 2399.74,4
2539 | 2399.89,4
2540 | 2400.04,4
2541 | 2400.2,4
2542 | 2400.35,4
2543 | 2400.5,4
2544 | 2400.65,4
2545 | 2400.81,4
2546 | 2400.96,4
2547 | 2401.11,4
2548 | 2401.26,4
2549 | 2401.42,4
2550 | 2401.57,4
2551 | 2401.72,4
2552 | 2401.87,4
2553 | 2402.03,4
2554 | 2402.18,4
2555 | 2402.33,4
2556 | 2402.48,4
2557 | 2402.63,4
2558 | 2402.79,4
2559 | 2402.94,4
2560 | 2403.09,4
2561 | 2403.24,4
2562 | 2403.4,4
2563 | 2403.55,4
2564 | 2403.7,4
2565 | 2403.85,4
2566 | 2404.01,4
2567 | 2404.16,4
2568 | 2404.31,4
2569 | 2404.46,4
2570 | 2404.62,4
2571 | 2404.77,4
2572 | 2404.92,4
2573 | 2405.07,4
2574 | 2405.23,4
2575 | 2405.38,4
2576 | 2405.53,4
2577 | 2405.68,4
2578 | 2405.84,4
2579 | 2405.99,4
2580 | 2406.14,4
2581 | 2406.29,4
2582 | 2406.44,4
2583 | 2406.6,4
2584 | 2406.75,4
2585 | 2406.9,4
2586 | 2407.05,4
2587 | 2407.21,4
2588 | 2407.36,4
2589 | 2407.51,4
2590 | 2407.66,4
2591 | 2407.82,4
2592 | 2407.97,4
2593 | 2408.12,4
2594 | 2408.27,4
2595 | 2408.43,4
2596 | 2408.58,4
2597 | 2408.73,4
2598 | 2408.88,4
2599 | 2409.04,4
2600 | 2409.19,4
2601 | 2409.34,4
2602 | 2409.49,4
2603 | 2409.65,4
2604 | 2409.8,4
2605 | 2409.95,4
2606 | 2410.1,4
2607 | 2410.25,4
2608 | 2410.41,4
2609 | 2410.56,4
2610 | 2410.71,4
2611 | 2410.86,4
2612 | 2411.02,4
2613 | 2411.17,4
2614 | 2411.32,4
2615 | 2411.47,4
2616 | 2411.63,4
2617 | 2411.78,4
2618 | 2411.93,4
2619 | 2412.08,4
2620 | 2412.24,4
2621 | 2412.39,4
2622 | 2412.54,4
2623 | 2412.69,4
2624 | 2412.85,4
2625 | 2413,4
2626 | 2413.15,4
2627 | 2413.3,4
2628 | 2413.46,4
2629 | 2413.61,4
2630 | 2413.76,4
2631 | 2413.91,4
2632 | 2414.06,4
2633 | 2414.22,4
2634 | 2414.37,4
2635 | 2414.52,4
2636 | 2414.67,4
2637 | 2414.83,4
2638 | 2414.98,4
2639 | 2415.13,4
2640 | 2415.28,4
2641 | 2415.44,4
2642 | 2415.59,4
2643 | 2415.74,4
2644 | 2415.89,4
2645 | 2416.05,4
2646 | 2416.2,4
2647 | 2416.35,4
2648 | 2416.5,4
2649 | 2416.66,4
2650 | 2416.81,4
2651 | 2416.96,4
2652 | 2417.11,4
2653 | 2417.27,4
2654 | 2417.42,4
2655 | 2417.57,4
2656 | 2417.72,4
2657 | 2417.87,4
2658 | 2418.03,4
2659 | 2418.18,4
2660 | 2418.33,4
2661 | 2418.48,4
2662 | 2418.64,4
2663 | 2418.79,4
2664 | 2418.94,4
2665 | 2419.09,4
2666 | 2419.25,4
2667 | 2419.4,4
2668 | 2419.55,4
2669 | 2419.7,4
2670 | 2419.86,4
2671 | 2420.01,4
2672 | 2420.16,4
2673 | 2420.31,4
2674 | 2420.47,4
2675 | 2420.62,4
2676 | 2420.77,4
2677 | 2420.92,4
2678 | 2421.08,4
2679 | 2421.23,4
2680 | 2421.38,4
2681 | 2421.53,4
2682 | 2421.68,4
2683 | 2421.84,4
2684 | 2421.99,4
2685 | 2422.14,4
2686 | 2422.29,4
2687 | 2422.45,4
2688 | 2422.6,4
2689 | 2422.75,4
2690 | 2422.9,4
2691 | 2423.06,4
2692 | 2423.21,4
2693 | 2423.36,4
2694 | 2423.51,4
2695 | 2423.67,4
2696 | 2423.82,4
2697 | 2423.97,4
2698 | 2424.12,4
2699 | 2424.28,4
2700 | 2424.43,4
2701 | 2424.58,4
2702 | 2424.73,4
2703 | 2424.89,4
2704 | 2425.04,4
2705 | 2425.19,4
2706 | 2425.34,4
2707 | 2425.49,4
2708 | 2425.65,4
2709 | 2425.8,4
2710 | 2425.95,4
2711 | 2426.1,4
2712 | 2426.26,4
2713 | 2426.41,4
2714 | 2426.56,4
2715 | 2426.71,4
2716 | 2426.87,4
2717 | 2427.02,4
2718 | 2427.17,4
2719 | 2427.32,4
2720 | 2427.48,4
2721 | 2427.63,4
2722 | 2427.78,4
2723 | 2427.93,4
2724 | 2428.09,4
2725 | 2428.24,4
2726 | 2428.39,4
2727 | 2428.54,4
2728 | 2428.7,4
2729 | 2428.85,4
2730 | 2429,4
2731 | 2429.15,4
2732 | 2429.3,4
2733 | 2429.46,4
2734 | 2429.61,4
2735 | 2429.76,4
2736 | 2429.91,4
2737 | 2430.07,4
2738 | 2430.22,4
2739 | 2430.37,4
2740 | 2430.52,4
2741 | 2430.68,4
2742 | 2430.83,4
2743 | 2430.98,4
2744 | 2431.13,4
2745 | 2431.29,4
2746 | 2431.44,4
2747 | 2431.59,4
2748 | 2431.74,4
2749 | 2431.9,4
2750 | 2432.05,4
2751 | 2432.2,4
2752 | 2432.35,4
2753 | 2432.51,4
2754 | 2432.66,4
2755 | 2432.81,4
2756 | 2432.96,4
2757 | 2433.11,4
2758 | 2433.27,4
2759 | 2433.42,4
2760 | 2433.57,4
2761 | 2433.72,4
2762 | 2433.88,4
2763 | 2434.03,4
2764 | 2434.18,4
2765 | 2434.33,4
2766 | 2434.49,4
2767 | 2434.64,4
2768 | 2434.79,4
2769 | 2434.94,4
2770 | 2435.1,4
2771 | 2435.25,4
2772 | 2435.4,4
2773 | 2435.55,4
2774 | 2435.71,4
2775 | 2435.86,4
2776 | 2436.01,4
2777 | 2436.16,4
2778 | 2436.32,4
2779 | 2436.47,4
2780 | 2436.62,4
2781 | 2436.77,4
2782 | 2436.92,4
2783 | 2437.08,4
2784 | 2437.23,4
2785 | 2437.38,4
2786 | 2437.53,4
2787 | 2437.69,4
2788 | 2437.84,4
2789 | 2437.99,4
2790 | 2438.14,4
2791 | 2438.3,4
2792 | 2438.45,4
2793 | 2438.6,4
2794 | 2438.75,4
2795 | 2438.91,4
2796 | 2439.06,4
2797 | 2439.21,4
2798 | 2439.36,4
2799 | 2439.52,4
2800 | 2439.67,4
2801 | 2439.82,4
2802 | 2439.97,4
2803 | 2440.13,4
2804 | 2440.28,4
2805 | 2440.43,4
2806 | 2440.58,4
2807 | 2440.73,4
2808 | 2440.89,4
2809 | 2441.04,4
2810 | 2441.19,4
2811 | 2441.34,4
2812 | 2441.5,4
2813 | 2441.65,4
2814 | 2441.8,4
2815 | 2441.95,4
2816 | 2442.11,4
2817 | 2442.26,4
2818 | 2442.41,4
2819 | 2442.56,4
2820 | 2442.72,4
2821 | 2442.87,4
2822 | 2443.02,4
2823 | 2443.17,4
2824 | 2443.33,4
2825 | 2443.48,4
2826 | 2443.63,4
2827 | 2443.78,4
2828 | 2443.94,4
2829 | 2444.09,4
2830 | 2444.24,4
2831 | 2444.39,4
2832 | 2444.54,4
2833 | 2444.7,4
2834 | 2444.85,4
2835 | 2445,4
2836 | 2445.15,4
2837 | 2445.31,4
2838 | 2445.46,4
2839 | 2445.61,4
2840 | 2445.76,4
2841 | 2445.92,4
2842 | 2446.07,4
2843 | 2446.22,4
2844 | 2446.37,4
2845 | 2446.53,4
2846 | 2446.68,4
2847 | 2446.83,4
2848 | 2446.98,4
2849 | 2447.14,4
2850 | 2447.29,4
2851 | 2447.44,4
2852 | 2447.59,4
2853 | 2447.75,4
2854 | 2447.9,4
2855 | 2448.05,4
2856 | 2448.2,4
2857 | 2448.35,4
2858 | 2448.51,4
2859 | 2448.66,4
2860 | 2448.81,4
2861 | 2448.96,4
2862 | 2449.12,4
2863 | 2449.27,4
2864 | 2449.42,4
2865 | 2449.57,4
2866 | 2449.73,4
2867 | 2449.88,4
2868 | 2450.03,4
2869 | 2450.18,4
2870 | 2450.34,4
2871 | 2450.49,4
2872 | 2450.64,4
2873 | 2450.79,4
2874 | 2450.95,4
2875 | 2451.1,4
2876 | 2451.25,4
2877 | 2451.4,4
2878 | 2451.56,4
2879 | 2451.71,4
2880 | 2451.86,4
2881 | 2452.01,4
2882 | 2452.16,4
2883 | 2452.32,4
2884 | 2452.47,4
2885 | 2452.62,4
2886 | 2452.77,4
2887 | 2452.93,4
2888 | 2453.08,4
2889 | 2453.23,4
2890 | 2453.38,4
2891 | 2453.54,4
2892 | 2453.69,4
2893 | 2453.84,4
2894 | 2453.99,4
2895 | 2454.15,4
2896 | 2454.3,4
2897 | 2454.45,4
2898 | 2454.6,4
2899 | 2454.76,4
2900 | 2454.91,4
2901 | 2455.06,4
2902 | 2455.21,4
2903 | 2455.37,4
2904 | 2455.52,4
2905 | 2455.67,4
2906 | 2455.82,4
2907 | 2455.97,4
2908 | 2456.13,4
2909 | 2456.28,4
2910 | 2456.43,4
2911 | 2456.58,4
2912 | 2456.74,4
2913 | 2456.89,4
2914 | 2457.04,4
2915 | 2457.19,4
2916 | 2457.35,4
2917 | 2457.5,4
2918 | 2457.65,4
2919 | 2457.8,4
2920 | 2457.96,4
2921 | 2458.11,5
2922 | 2458.26,5
2923 | 2458.41,5
2924 | 2458.57,5
2925 | 2458.72,5
2926 | 2458.87,5
2927 | 2459.02,5
2928 | 2459.18,5
2929 | 2459.33,5
2930 | 2459.48,5
2931 | 2459.63,5
2932 | 2459.78,5
2933 | 2459.94,5
2934 | 2460.09,5
2935 | 2460.24,5
2936 | 2460.39,5
2937 | 2460.55,5
2938 | 2460.7,5
2939 | 2460.85,5
2940 | 2461,5
2941 | 2461.16,5
2942 | 2461.31,5
2943 | 2461.46,5
2944 | 2461.61,5
2945 | 2461.77,5
2946 | 2461.92,5
2947 | 2462.07,5
2948 | 2462.22,5
2949 | 2462.38,5
2950 | 2462.53,5
2951 | 2462.68,5
2952 | 2462.83,5
2953 | 2462.99,5
2954 | 2463.14,5
2955 | 2463.29,5
2956 | 2463.44,5
2957 | 2463.59,5
2958 | 2463.75,5
2959 | 2463.9,5
2960 | 2464.05,5
2961 | 2464.2,5
2962 | 2464.36,5
2963 | 2464.51,5
2964 | 2464.66,5
2965 | 2464.81,5
2966 | 2464.97,5
2967 | 2465.12,5
2968 | 2465.27,5
2969 | 2465.42,5
2970 | 2465.58,5
2971 | 2465.73,5
2972 | 2465.88,5
2973 | 2466.03,5
2974 | 2466.19,5
2975 | 2466.34,5
2976 | 2466.49,5
2977 | 2466.64,5
2978 | 2466.8,5
2979 | 2466.95,5
2980 | 2467.1,5
2981 | 2467.25,5
2982 | 2467.4,5
2983 | 2467.56,5
2984 | 2467.71,5
2985 | 2467.86,5
2986 | 2468.01,5
2987 | 2468.17,5
2988 | 2468.32,5
2989 | 2468.47,5
2990 | 2468.62,5
2991 | 2468.78,5
2992 | 2468.93,5
2993 | 2469.08,5
2994 | 2469.23,5
2995 | 2469.39,5
2996 | 2469.54,5
2997 | 2469.69,5
2998 | 2469.84,5
2999 | 2470,5
3000 | 2470.15,5
3001 | 2470.3,5
3002 | 2470.45,5
3003 | 2470.61,5
3004 | 2470.76,5
3005 | 2470.91,5
3006 | 2471.06,5
3007 | 2471.21,5
3008 | 2471.37,5
3009 | 2471.52,5
3010 | 2471.67,5
3011 | 2471.82,5
3012 | 2471.98,5
3013 | 2472.13,5
3014 | 2472.28,5
3015 | 2472.43,5
3016 | 2472.59,5
3017 | 2472.74,5
3018 | 2472.89,5
3019 | 2473.04,5
3020 | 2473.2,5
3021 | 2473.35,5
3022 | 2473.5,5
3023 | 2473.65,5
3024 | 2473.81,5
3025 | 2473.96,5
3026 | 2474.11,5
3027 | 2474.26,5
3028 | 2474.42,5
3029 | 2474.57,5
3030 | 2474.72,5
3031 | 2474.87,5
3032 | 2475.02,5
3033 | 2475.18,5
3034 | 2475.33,5
3035 | 2475.48,5
3036 | 2475.63,5
3037 | 2475.79,5
3038 | 2475.94,5
3039 | 2476.09,5
3040 | 2476.24,5
3041 | 2476.4,5
3042 | 2476.55,5
3043 | 2476.7,5
3044 | 2476.85,5
3045 | 2477.01,5
3046 | 2477.16,5
3047 | 2477.31,5
3048 | 2477.46,5
3049 | 2477.62,5
3050 | 2477.77,5
3051 | 2477.92,5
3052 | 2478.07,5
3053 | 2478.23,5
3054 | 2478.38,5
3055 | 2478.53,5
3056 | 2478.68,5
3057 | 2478.83,5
3058 | 2478.99,5
3059 | 2479.14,5
3060 | 2479.29,5
3061 | 2479.44,5
3062 | 2479.6,5
3063 | 2479.75,5
3064 | 2479.9,5
3065 | 2480.05,5
3066 | 2480.21,5
3067 | 2480.36,5
3068 | 2480.51,5
3069 | 2480.66,5
3070 | 2480.82,5
3071 | 2480.97,5
3072 | 2481.12,5
3073 | 2481.27,5
3074 | 2481.43,5
3075 | 2481.58,5
3076 | 2481.73,5
3077 | 2481.88,5
3078 | 2482.04,5
3079 | 2482.19,5
3080 | 2482.34,5
3081 | 2482.49,5
3082 | 2482.64,5
3083 | 2482.8,5
3084 | 2482.95,5
3085 | 2483.1,5
3086 | 2483.25,5
3087 | 2483.41,5
3088 | 2483.56,5
3089 | 2483.71,5
3090 | 2483.86,5
3091 | 2484.02,5
3092 | 2484.17,5
3093 | 2484.32,5
3094 | 2484.47,5
3095 | 2484.63,5
3096 | 2484.78,5
3097 | 2484.93,5
3098 | 2485.08,5
3099 | 2485.24,5
3100 | 2485.39,5
3101 | 2485.54,5
3102 | 2485.69,5
3103 | 2485.85,5
3104 | 2486,5
3105 | 2486.15,5
3106 | 2486.3,5
3107 | 2486.45,5
3108 | 2486.61,5
3109 | 2486.76,5
3110 | 2486.91,5
3111 | 2487.06,5
3112 | 2487.22,5
3113 | 2487.37,5
3114 | 2487.52,5
3115 | 2487.67,5
3116 | 2487.83,5
3117 | 2487.98,5
3118 | 2488.13,5
3119 | 2488.28,5
3120 | 2488.44,5
3121 | 2488.59,5
3122 | 2488.74,5
3123 | 2488.89,5
3124 | 2489.05,5
3125 | 2489.2,5
3126 | 2489.35,5
3127 | 2489.5,5
3128 | 2489.66,5
3129 | 2489.81,5
3130 | 2489.96,5
3131 | 2490.11,5
3132 | 2490.26,5
3133 | 2490.42,5
3134 | 2490.57,5
3135 | 2490.72,5
3136 | 2490.87,5
3137 | 2491.03,6
3138 | 2491.18,6
3139 | 2491.33,6
3140 | 2491.48,6
3141 | 2491.64,6
3142 | 2491.79,6
3143 | 2491.94,6
3144 | 2492.09,6
3145 | 2492.25,6
3146 | 2492.4,6
3147 | 2492.55,6
3148 | 2492.7,6
3149 | 2492.86,6
3150 | 2493.01,6
3151 | 2493.16,6
3152 | 2493.31,6
3153 | 2493.47,6
3154 | 2493.62,6
3155 | 2493.77,6
3156 | 2493.92,6
3157 | 2494.07,6
3158 | 2494.23,6
3159 | 2494.38,6
3160 | 2494.53,6
3161 | 2494.68,6
3162 | 2494.84,6
3163 | 2494.99,6
3164 | 2495.14,6
3165 | 2495.29,6
3166 | 2495.45,6
3167 | 2495.6,6
3168 | 2495.75,6
3169 | 2495.9,6
3170 | 2496.06,6
3171 | 2496.21,6
3172 | 2496.36,6
3173 | 2496.51,6
3174 | 2496.67,6
3175 | 2496.82,6
3176 | 2496.97,6
3177 | 2497.12,6
3178 | 2497.28,6
3179 | 2497.43,6
3180 | 2497.58,6
3181 | 2497.73,6
3182 | 2497.88,6
3183 | 2498.04,6
3184 | 2498.19,6
3185 | 2498.34,6
3186 | 2498.49,6
3187 | 2498.65,6
3188 | 2498.8,6
3189 | 2498.95,6
3190 | 2499.1,6
3191 | 2499.26,6
3192 | 2499.41,6
3193 | 2499.56,6
3194 | 2499.71,6
3195 | 2499.87,6
3196 | 2500.02,6
3197 | 2500.17,6
3198 | 2500.32,6
3199 | 2500.48,6
3200 | 2500.63,6
3201 | 2500.78,6
3202 | 2500.93,6
3203 | 2501.09,7
3204 | 2501.24,7
3205 | 2501.39,7
3206 | 2501.54,7
3207 | 2501.69,7
3208 | 2501.85,7
3209 | 2502,7
3210 | 2502.15,7
3211 | 2502.3,7
3212 | 2502.46,7
3213 | 2502.61,7
3214 | 2502.76,7
3215 | 2502.91,7
3216 | 2503.07,7
3217 | 2503.22,7
3218 | 2503.37,7
3219 | 2503.52,7
3220 | 2503.68,7
3221 | 2503.83,7
3222 | 2503.98,7
3223 | 2504.13,7
3224 | 2504.29,7
3225 | 2504.44,7
3226 | 2504.59,7
3227 | 2504.74,7
3228 | 2504.9,7
3229 | 2505.05,7
3230 | 2505.2,7
3231 | 2505.35,7
3232 | 2505.5,7
3233 | 2505.66,7
3234 | 2505.81,7
3235 | 2505.96,7
3236 | 2506.11,7
3237 | 2506.27,7
3238 | 2506.42,7
3239 | 2506.57,7
3240 | 2506.72,7
3241 | 2506.88,7
3242 | 2507.03,7
3243 | 2507.18,7
3244 | 2507.33,7
3245 | 2507.49,7
3246 | 2507.64,7
3247 | 2507.79,7
3248 | 2507.94,7
3249 | 2508.1,7
3250 | 2508.25,7
3251 | 2508.4,7
3252 | 2508.55,7
3253 | 2508.71,7
3254 | 2508.86,7
3255 | 2509.01,7
3256 | 2509.16,7
3257 | 2509.31,7
3258 | 2509.47,7
3259 | 2509.62,7
3260 | 2509.77,7
3261 | 2509.92,7
3262 | 2510.08,7
3263 | 2510.23,7
3264 | 2510.38,7
3265 | 2510.53,7
3266 | 2510.69,7
3267 | 2510.84,7
3268 | 2510.99,7
3269 | 2511.14,7
3270 | 2511.3,7
3271 | 2511.45,7
3272 | 2511.6,7
3273 | 2511.75,7
3274 | 2511.91,7
3275 | 2512.06,7
3276 | 2512.21,7
3277 | 2512.36,7
3278 | 2512.52,7
3279 | 2512.67,7
3280 | 2512.82,7
3281 | 2512.97,7
3282 | 2513.12,7
3283 | 2513.28,7
3284 | 2513.43,7
3285 | 2513.58,7
3286 | 2513.73,7
3287 | 2513.89,7
3288 | 2514.04,7
3289 | 2514.19,7
3290 | 2514.34,7
3291 | 2514.5,7
3292 | 2514.65,7
3293 | 2514.8,7
3294 | 2514.95,7
3295 | 2515.11,7
3296 | 2515.26,7
3297 | 2515.41,7
3298 | 2515.56,7
3299 | 2515.72,7
3300 | 2515.87,7
3301 | 2516.02,7
3302 | 2516.17,7
3303 | 2516.33,7
3304 | 2516.48,7
3305 | 2516.63,7
3306 | 2516.78,7
3307 | 2516.93,7
3308 | 2517.09,7
3309 | 2517.24,7
3310 | 2517.39,7
3311 | 2517.54,7
3312 | 2517.7,7
3313 | 2517.85,7
3314 | 2518,7
3315 | 2518.15,7
3316 | 2518.31,7
3317 | 2518.46,7
3318 | 2518.61,7
3319 | 2518.76,7
3320 | 2518.92,7
3321 | 2519.07,7
3322 | 2519.22,7
3323 | 2519.37,7
3324 | 2519.53,7
3325 | 2519.68,7
3326 | 2519.83,7
3327 | 2519.98,7
3328 | 2520.14,7
3329 | 2520.29,7
3330 | 2520.44,7
3331 | 2520.59,7
3332 | 2520.74,7
3333 | 2520.9,7
3334 | 2521.05,7
3335 | 2521.2,7
3336 | 2521.35,7
3337 | 2521.51,7
3338 | 2521.66,7
3339 | 2521.81,7
3340 | 2521.96,7
3341 | 2522.12,7
3342 | 2522.27,7
3343 | 2522.42,7
3344 | 2522.57,7
3345 | 2522.73,7
3346 | 2522.88,7
3347 | 2523.03,7
3348 | 2523.18,7
3349 | 2523.34,7
3350 | 2523.49,7
3351 | 2523.64,7
3352 | 2523.79,7
3353 | 2523.95,7
3354 | 2524.1,7
3355 | 2524.25,7
3356 | 2524.4,7
3357 | 2524.55,7
3358 | 2524.71,7
3359 | 2524.86,7
3360 | 2525.01,7
3361 | 2525.16,7
3362 | 2525.32,7
3363 | 2525.47,7
3364 | 2525.62,7
3365 | 2525.77,7
3366 | 2525.93,7
3367 | 2526.08,7
3368 | 2526.23,7
3369 | 2526.38,7
3370 | 2526.54,7
3371 | 2526.69,7
3372 | 2526.84,7
3373 | 2526.99,7
3374 | 2527.15,7
3375 | 2527.3,7
3376 | 2527.45,7
3377 | 2527.6,7
3378 | 2527.76,7
3379 | 2527.91,7
3380 | 2528.06,7
3381 | 2528.21,7
3382 | 2528.36,7
3383 | 2528.52,7
3384 | 2528.67,7
3385 | 2528.82,7
3386 | 2528.97,7
3387 | 2529.13,7
3388 | 2529.28,7
3389 | 2529.43,7
3390 | 2529.58,7
3391 | 2529.74,7
3392 | 2529.89,7
3393 | 2530.04,7
3394 | 2530.19,7
3395 | 2530.35,7
3396 | 2530.5,7
3397 | 2530.65,7
3398 | 2530.8,7
3399 | 2530.96,7
3400 | 2531.11,7
3401 | 2531.26,7
3402 | 2531.41,7
3403 | 2531.57,7
3404 | 2531.72,7
3405 | 2531.87,7
3406 | 2532.02,7
3407 | 2532.17,7
3408 | 2532.33,7
3409 | 2532.48,7
3410 | 2532.63,7
3411 | 2532.78,7
3412 | 2532.94,7
3413 | 2533.09,7
3414 | 2533.24,7
3415 | 2533.39,7
3416 | 2533.55,7
3417 | 2533.7,7
3418 | 2533.85,7
3419 | 2534,7
3420 | 2534.16,7
3421 | 2534.31,7
3422 | 2534.46,7
3423 | 2534.61,7
3424 | 2534.77,7
3425 | 2534.92,7
3426 | 2535.07,7
3427 | 2535.22,7
3428 | 2535.38,7
3429 | 2535.53,7
3430 | 2535.68,7
3431 | 2535.83,7
3432 | 2535.98,7
3433 | 2536.14,7
3434 | 2536.29,7
3435 | 2536.44,7
3436 | 2536.59,7
3437 | 2536.75,7
3438 | 2536.9,7
3439 | 2537.05,7
3440 | 2537.2,7
3441 | 2537.36,7
3442 | 2537.51,7
3443 | 2537.66,7
3444 | 2537.81,7
3445 | 2537.97,7
3446 | 2538.12,7
3447 | 2538.27,7
3448 | 2538.42,7
3449 | 2538.58,7
3450 | 2538.73,7
3451 | 2538.88,7
3452 | 2539.03,7
3453 | 2539.19,7
3454 | 2539.34,7
3455 | 2539.49,7
3456 | 2539.64,7
3457 | 2539.79,7
3458 | 2539.95,7
3459 | 2540.1,7
3460 | 2540.25,7
3461 | 2540.4,7
3462 | 2540.56,7
3463 | 2540.71,7
3464 | 2540.86,7
3465 | 2541.01,7
3466 | 2541.17,7
3467 | 2541.32,7
3468 | 2541.47,7
3469 | 2541.62,7
3470 | 2541.78,7
3471 | 2541.93,7
3472 | 2542.08,7
3473 | 2542.23,7
3474 | 2542.39,7
3475 | 2542.54,7
3476 | 2542.69,7
3477 | 2542.84,7
3478 | 2543,7
3479 | 2543.15,7
3480 | 2543.3,7
3481 | 2543.45,7
3482 | 2543.6,7
3483 | 2543.76,7
3484 | 2543.91,7
3485 | 2544.06,7
3486 | 2544.21,7
3487 | 2544.37,7
3488 | 2544.52,7
3489 | 2544.67,7
3490 | 2544.82,7
3491 | 2544.98,7
3492 | 2545.13,7
3493 | 2545.28,7
3494 | 2545.43,7
3495 | 2545.59,7
3496 | 2545.74,7
3497 | 2545.89,7
3498 | 2546.04,7
3499 | 2546.2,7
3500 | 2546.35,7
3501 | 2546.5,7
3502 | 2546.65,7
3503 | 2546.81,7
3504 | 2546.96,7
3505 | 2547.11,7
3506 | 2547.26,7
3507 | 2547.41,7
3508 | 2547.57,7
3509 | 2547.72,7
3510 | 2547.87,7
3511 | 2548.02,7
3512 | 2548.18,7
3513 | 2548.33,7
3514 | 2548.48,7
3515 | 2548.63,7
3516 | 2548.79,7
3517 | 2548.94,7
3518 | 2549.09,7
3519 | 2549.24,7
3520 | 2549.4,7
3521 | 2549.55,7
3522 | 2549.7,7
3523 | 2549.85,7
3524 | 2550.01,7
3525 | 2550.16,7
3526 | 2550.31,7
3527 | 2550.46,7
3528 | 2550.62,7
3529 | 2550.77,7
3530 | 2550.92,7
3531 | 2551.07,7
3532 | 2551.22,7
3533 | 2551.38,7
3534 | 2551.53,7
3535 | 2551.68,7
3536 | 2551.83,7
3537 | 2551.99,7
3538 | 2552.14,7
3539 | 2552.29,7
3540 | 2552.44,7
3541 | 2552.6,7
3542 | 2552.75,7
3543 | 2552.9,7
3544 | 2553.05,7
3545 | 2553.21,7
3546 | 2553.36,7
3547 | 2553.51,7
3548 | 2553.66,7
3549 | 2553.82,7
3550 | 2553.97,7
3551 | 2554.12,7
3552 | 2554.27,7
3553 | 2554.43,7
3554 | 2554.58,7
3555 | 2554.73,7
3556 | 2554.88,7
3557 | 2555.03,7
3558 | 2555.19,7
3559 | 2555.34,7
3560 | 2555.49,7
3561 | 2555.64,7
3562 | 2555.8,7
3563 | 2555.95,7
3564 | 2556.1,7
3565 | 2556.25,7
3566 | 2556.41,7
3567 | 2556.56,7
3568 | 2556.71,7
3569 | 2556.86,7
3570 | 2557.02,7
3571 | 2557.17,7
3572 | 2557.32,7
3573 | 2557.47,7
3574 | 2557.63,7
3575 | 2557.78,7
3576 | 2557.93,7
3577 | 2558.08,7
3578 | 2558.24,7
3579 | 2558.39,7
3580 | 2558.54,7
3581 | 2558.69,7
3582 | 2558.84,7
3583 | 2559,7
3584 | 2559.15,7
3585 | 2559.3,7
3586 | 2559.45,7
3587 | 2559.61,7
3588 | 2559.76,7
3589 | 2559.91,7
3590 | 2560.06,7
3591 | 2560.22,7
3592 | 2560.37,7
3593 | 2560.52,7
3594 | 2560.67,7
3595 | 2560.83,7
3596 | 2560.98,7
3597 | 2561.13,7
3598 | 2561.28,7
3599 | 2561.44,7
3600 | 2561.59,7
3601 | 2561.74,7
3602 | 2561.89,7
3603 | 2562.05,7
3604 | 2562.2,7
3605 | 2562.35,7
3606 | 2562.5,7
3607 | 2562.65,7
3608 | 2562.81,7
3609 | 2562.96,7
3610 | 2563.11,7
3611 | 2563.26,7
3612 | 2563.42,7
3613 | 2563.57,7
3614 | 2563.72,7
3615 | 2563.87,7
3616 | 2564.03,7
3617 | 2564.18,7
3618 | 2564.33,7
3619 | 2564.48,7
3620 | 2564.64,7
3621 | 2564.79,7
3622 | 2564.94,7
3623 | 2565.09,7
3624 | 2565.25,7
3625 | 2565.4,7
3626 | 2565.55,7
3627 | 2565.7,7
3628 | 2565.86,7
3629 | 2566.01,7
3630 | 2566.16,7
3631 | 2566.31,7
3632 | 2566.46,7
3633 | 2566.62,7
3634 | 2566.77,7
3635 | 2566.92,7
3636 | 2567.07,7
3637 | 2567.23,7
3638 | 2567.38,7
3639 | 2567.53,7
3640 | 2567.68,7
3641 | 2567.84,7
3642 | 2567.99,7
3643 | 2568.14,7
3644 | 2568.29,7
3645 | 2568.45,7
3646 | 2568.6,7
3647 | 2568.75,7
3648 | 2568.9,7
3649 | 2569.06,7
3650 | 2569.21,7
3651 | 2569.36,7
3652 | 2569.51,7
3653 | 2569.67,7
3654 | 2569.82,7
3655 | 2569.97,7
3656 | 2570.12,7
3657 | 2570.27,7
3658 | 2570.43,7
3659 | 2570.58,7
3660 | 2570.73,7
3661 | 2570.88,7
3662 | 2571.04,7
3663 | 2571.19,7
3664 | 2571.34,7
3665 | 2571.49,7
3666 | 2571.65,7
3667 | 2571.8,7
3668 | 2571.95,7
3669 | 2572.1,7
3670 | 2572.26,7
3671 | 2572.41,7
3672 | 2572.56,7
3673 | 2572.71,7
3674 | 2572.87,7
3675 | 2573.02,7
3676 | 2573.17,7
3677 | 2573.32,7
3678 | 2573.48,7
3679 | 2573.63,7
3680 | 2573.78,7
3681 | 2573.93,7
3682 | 2574.08,7
3683 | 2574.24,7
3684 | 2574.39,7
3685 | 2574.54,7
3686 | 2574.69,7
3687 | 2574.85,7
3688 | 2575,7
3689 | 2575.15,7
3690 | 2575.3,7
3691 | 2575.46,7
3692 | 2575.61,7
3693 | 2575.76,7
3694 | 2575.91,7
3695 | 2576.07,7
3696 | 2576.22,7
3697 | 2576.37,7
3698 | 2576.52,7
3699 | 2576.68,7
3700 | 2576.83,7
3701 | 2576.98,7
3702 | 2577.13,7
3703 | 2577.29,7
3704 | 2577.44,7
3705 | 2577.59,7
3706 | 2577.74,7
3707 | 2577.89,7
3708 | 2578.05,7
3709 | 2578.2,7
3710 | 2578.35,7
3711 | 2578.5,7
3712 | 2578.66,7
3713 | 2578.81,7
3714 | 2578.96,7
3715 | 2579.11,7
3716 | 2579.27,7
3717 | 2579.42,7
3718 | 2579.57,7
3719 | 2579.72,7
3720 | 2579.88,7
3721 | 2580.03,7
3722 | 2580.18,7
3723 | 2580.33,7
3724 | 2580.49,7
3725 | 2580.64,7
3726 | 2580.79,7
3727 | 2580.94,7
3728 | 2581.1,7
3729 | 2581.25,7
3730 | 2581.4,7
3731 | 2581.55,7
3732 | 2581.7,7
3733 | 2581.86,7
3734 | 2582.01,7
3735 | 2582.16,7
3736 | 2582.31,7
3737 | 2582.47,7
3738 | 2582.62,7
3739 | 2582.77,7
3740 | 2582.92,7
3741 | 2583.08,8
3742 | 2583.23,8
3743 | 2583.38,8
3744 | 2583.53,8
3745 | 2583.69,8
3746 | 2583.84,8
3747 | 2583.99,8
3748 | 2584.14,8
3749 | 2584.3,8
3750 | 2584.45,8
3751 | 2584.6,8
3752 | 2584.75,8
3753 | 2584.91,8
3754 | 2585.06,8
3755 | 2585.21,8
3756 | 2585.36,8
3757 | 2585.51,8
3758 | 2585.67,8
3759 | 2585.82,8
3760 | 2585.97,8
3761 | 2586.12,8
3762 | 2586.28,8
3763 | 2586.43,8
3764 | 2586.58,8
3765 | 2586.73,8
3766 | 2586.89,8
3767 | 2587.04,8
3768 | 2587.19,8
3769 | 2587.34,8
3770 | 2587.5,8
3771 | 2587.65,8
3772 | 2587.8,8
3773 | 2587.95,8
3774 | 2588.11,8
3775 | 2588.26,8
3776 | 2588.41,8
3777 | 2588.56,8
3778 | 2588.72,8
3779 | 2588.87,8
3780 | 2589.02,8
3781 | 2589.17,8
3782 | 2589.32,8
3783 | 2589.48,8
3784 | 2589.63,8
3785 | 2589.78,8
3786 | 2589.93,8
3787 | 2590.09,8
3788 | 2590.24,8
3789 | 2590.39,8
3790 | 2590.54,8
3791 | 2590.7,8
3792 | 2590.85,8
3793 | 2591,8
3794 | 2591.15,8
3795 | 2591.31,8
3796 | 2591.46,8
3797 | 2591.61,8
3798 | 2591.76,8
3799 | 2591.92,8
3800 | 2592.07,8
3801 | 2592.22,8
3802 | 2592.37,8
3803 | 2592.53,8
3804 | 2592.68,8
3805 | 2592.83,8
3806 | 2592.98,8
3807 | 2593.13,8
3808 | 2593.29,8
3809 | 2593.44,8
3810 | 2593.59,8
3811 | 2593.74,8
3812 | 2593.9,8
3813 | 2594.05,8
3814 | 2594.2,8
3815 | 2594.35,8
3816 | 2594.51,8
3817 | 2594.66,8
3818 | 2594.81,8
3819 | 2594.96,8
3820 | 2595.12,8
3821 | 2595.27,8
3822 | 2595.42,8
3823 | 2595.57,8
3824 | 2595.73,8
3825 | 2595.88,8
3826 | 2596.03,8
3827 | 2596.18,8
3828 | 2596.34,8
3829 | 2596.49,8
3830 | 2596.64,8
3831 | 2596.79,8
3832 | 2596.94,8
3833 | 2597.1,8
3834 | 2597.25,8
3835 | 2597.4,8
3836 | 2597.55,8
3837 | 2597.71,8
3838 | 2597.86,8
3839 | 2598.01,9
3840 | 2598.16,9
3841 | 2598.32,9
3842 | 2598.47,9
3843 | 2598.62,9
3844 | 2598.77,9
3845 | 2598.93,9
3846 | 2599.08,9
3847 | 2599.23,9
3848 | 2599.38,9
3849 | 2599.54,9
3850 | 2599.69,9
3851 | 2599.84,9
3852 | 2599.99,9
3853 | 2600.15,9
3854 | 2600.3,9
3855 | 2600.45,9
3856 | 2600.6,9
3857 | 2600.75,9
3858 | 2600.91,9
3859 | 2601.06,9
3860 | 2601.21,9
3861 | 2601.36,9
3862 | 2601.52,9
3863 | 2601.67,9
3864 | 2601.82,9
3865 | 2601.97,9
3866 | 2602.13,9
3867 | 2602.28,9
3868 | 2602.43,9
3869 | 2602.58,9
3870 | 2602.74,9
3871 | 2602.89,9
3872 | 2603.04,9
3873 | 2603.19,9
3874 | 2603.35,9
3875 | 2603.5,9
3876 | 2603.65,9
3877 | 2603.8,9
3878 | 2603.96,9
3879 | 2604.11,9
3880 | 2604.26,9
3881 | 2604.41,9
3882 | 2604.56,9
3883 | 2604.72,9
3884 | 2604.87,9
3885 | 2605.02,9
3886 | 2605.17,9
3887 | 2605.33,9
3888 | 2605.48,9
3889 | 2605.63,9
3890 | 2605.78,9
3891 | 2605.94,9
3892 | 2606.09,9
3893 | 2606.24,9
3894 | 2606.39,9
3895 | 2606.55,9
3896 | 2606.7,9
3897 | 2606.85,9
3898 | 2607,9
3899 | 2607.16,9
3900 | 2607.31,9
3901 | 2607.46,9
3902 | 2607.61,9
3903 | 2607.77,9
3904 | 2607.92,9
3905 | 2608.07,9
3906 | 2608.22,9
3907 | 2608.37,9
3908 | 2608.53,9
3909 | 2608.68,9
3910 | 2608.83,9
3911 | 2608.98,9
3912 | 2609.14,9
3913 | 2609.29,9
3914 | 2609.44,9
3915 | 2609.59,9
3916 | 2609.75,9
3917 | 2609.9,9
3918 | 2610.05,9
3919 | 2610.2,9
3920 | 2610.36,9
3921 | 2610.51,9
3922 | 2610.66,9
3923 | 2610.81,9
3924 | 2610.97,9
3925 | 2611.12,9
3926 | 2611.27,9
3927 | 2611.42,9
3928 | 2611.58,9
3929 | 2611.73,9
3930 | 2611.88,9
3931 | 2612.03,9
3932 | 2612.18,9
3933 | 2612.34,9
3934 | 2612.49,9
3935 | 2612.64,9
3936 | 2612.79,9
3937 | 2612.95,9
3938 | 2613.1,9
3939 | 2613.25,9
3940 | 2613.4,9
3941 | 2613.56,9
3942 | 2613.71,9
3943 | 2613.86,9
3944 | 2614.01,9
3945 | 2614.17,9
3946 | 2614.32,9
3947 | 2614.47,9
3948 | 2614.62,9
3949 | 2614.78,9
3950 | 2614.93,9
3951 | 2615.08,9
3952 | 2615.23,9
3953 | 2615.39,9
3954 | 2615.54,9
3955 | 2615.69,9
3956 | 2615.84,9
3957 | 2615.99,9
3958 | 2616.15,9
3959 | 2616.3,9
3960 | 2616.45,9
3961 | 2616.6,9
3962 | 2616.76,9
3963 | 2616.91,9
3964 | 2617.06,9
3965 | 2617.21,9
3966 | 2617.37,9
3967 | 2617.52,9
3968 | 2617.67,9
3969 | 2617.82,9
3970 | 2617.98,9
3971 | 2618.13,9
3972 | 2618.28,9
3973 | 2618.43,9
3974 | 2618.59,9
3975 | 2618.74,9
3976 | 2618.89,9
3977 | 2619.04,9
3978 | 2619.2,9
3979 | 2619.35,9
3980 | 2619.5,9
3981 | 2619.65,9
3982 | 2619.8,9
3983 | 2619.96,9
3984 | 2620.11,9
3985 | 2620.26,9
3986 | 2620.41,9
3987 | 2620.57,9
3988 | 2620.72,9
3989 | 2620.87,9
3990 | 2621.02,9
3991 | 2621.18,9
3992 | 2621.33,9
3993 | 2621.48,9
3994 | 2621.63,9
3995 | 2621.79,9
3996 | 2621.94,9
3997 | 2622.09,9
3998 | 2622.24,9
3999 | 2622.4,9
4000 | 2622.55,9
4001 | 2622.7,9
4002 | 2622.85,9
4003 | 2623.01,9
4004 | 2623.16,9
4005 | 2623.31,9
4006 | 2623.46,9
4007 | 2623.61,9
4008 | 2623.77,9
4009 | 2623.92,9
4010 | 2624.07,9
4011 | 2624.22,9
4012 | 2624.38,9
4013 | 2624.53,9
4014 | 2624.68,9
4015 | 2624.83,9
4016 | 2624.99,9
4017 | 2625.14,9
4018 | 2625.29,9
4019 | 2625.44,9
4020 | 2625.6,9
4021 | 2625.75,9
4022 | 2625.9,9
4023 | 2626.05,9
4024 | 2626.21,9
4025 | 2626.36,9
4026 | 2626.51,9
4027 | 2626.66,9
4028 | 2626.82,9
4029 | 2626.97,9
4030 | 2627.12,9
4031 | 2627.27,9
4032 | 2627.42,9
4033 | 2627.58,9
4034 | 2627.73,9
4035 | 2627.88,9
4036 | 2628.03,9
4037 | 2628.19,9
4038 | 2628.34,9
4039 | 2628.49,9
4040 | 2628.64,9
4041 | 2628.8,9
4042 | 2628.95,9
4043 | 2629.1,9
4044 | 2629.25,9
4045 | 2629.41,9
4046 | 2629.56,9
4047 | 2629.71,9
4048 | 2629.86,9
4049 | 2630.02,9
4050 | 2630.17,9
4051 | 2630.32,9
4052 | 2630.47,9
4053 | 2630.63,9
4054 | 2630.78,9
4055 | 2630.93,9
4056 | 2631.08,9
4057 | 2631.23,9
4058 | 2631.39,9
4059 | 2631.54,9
4060 | 2631.69,9
4061 | 2631.84,9
4062 | 2632,9
4063 | 2632.15,9
4064 | 2632.3,9
4065 | 2632.45,9
4066 | 2632.61,9
4067 | 2632.76,9
4068 | 2632.91,9
4069 | 2633.06,9
4070 | 2633.22,9
4071 | 2633.37,9
4072 | 2633.52,9
4073 | 2633.67,9
4074 | 2633.83,9
4075 | 2633.98,9
4076 | 2634.13,9
4077 | 2634.28,9
4078 | 2634.44,9
4079 | 2634.59,9
4080 | 2634.74,9
4081 | 2634.89,9
4082 | 2635.04,9
4083 | 2635.2,9
4084 | 2635.35,9
4085 | 2635.5,9
4086 | 2635.65,9
4087 | 2635.81,9
4088 | 2635.96,9
4089 | 2636.11,9
4090 | 2636.26,9
4091 | 2636.42,9
4092 | 2636.57,9
4093 | 2636.72,9
4094 | 2636.87,9
4095 | 2637.03,9
4096 | 2637.18,9
4097 | 2637.33,9
4098 | 2637.48,9
4099 | 2637.64,9
4100 | 2637.79,9
4101 | 2637.94,9
4102 | 2638.09,9
4103 | 2638.25,9
4104 | 2638.4,9
4105 | 2638.55,9
4106 | 2638.7,9
4107 | 2638.85,9
4108 | 2639.01,9
4109 | 2639.16,9
4110 | 2639.31,9
4111 | 2639.46,9
4112 | 2639.62,9
4113 | 2639.77,9
4114 | 2639.92,9
4115 | 2640.07,9
4116 | 2640.23,9
4117 | 2640.38,9
4118 | 2640.53,9
4119 | 


--------------------------------------------------------------------------------