File size: 26,904 Bytes
330cbe3 e91be24 330cbe3 e91be24 330cbe3 e91be24 330cbe3 3bc6a67 330cbe3 3bc6a67 330cbe3 3bc6a67 330cbe3 3bc6a67 330cbe3 3bc6a67 330cbe3 3bc6a67 330cbe3 3bc6a67 330cbe3 3bc6a67 330cbe3 3bc6a67 330cbe3 3bc6a67 330cbe3 3bc6a67 330cbe3 3bc6a67 330cbe3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 |
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/cyberosa/.pyenv/versions/3.12.2/envs/hf_dashboards/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n"
]
}
],
"source": [
"import pandas as pd\n",
"import gradio as gr\n",
"import plotly.express as px\n",
"import plotly.graph_objects as go\n",
"from plotly.subplots import make_subplots\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"div_data = pd.read_parquet(\"../data/closed_markets_div.parquet\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>currentAnswer</th>\n",
" <th>id</th>\n",
" <th>openingTimestamp</th>\n",
" <th>market_creator</th>\n",
" <th>opening_datetime</th>\n",
" <th>first_outcome_prob</th>\n",
" <th>second_outcome_prob</th>\n",
" <th>kl_divergence</th>\n",
" <th>off_by_perc</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>yes</td>\n",
" <td>0x5cae41dcc8a30d76a31b126c6f3b358b8d0131ca</td>\n",
" <td>1731542400</td>\n",
" <td>quickstart</td>\n",
" <td>2024-11-14 01:00:00</td>\n",
" <td>0.3679</td>\n",
" <td>0.6321</td>\n",
" <td>0.999944</td>\n",
" <td>63.21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>yes</td>\n",
" <td>0xf8442bd26cd80d8447bb6203ededc44a77cd2a12</td>\n",
" <td>1731542400</td>\n",
" <td>quickstart</td>\n",
" <td>2024-11-14 01:00:00</td>\n",
" <td>0.3368</td>\n",
" <td>0.6632</td>\n",
" <td>1.088266</td>\n",
" <td>66.32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>yes</td>\n",
" <td>0xde3a4b0d527013165b1b6b8aae051d223f8b770e</td>\n",
" <td>1731542400</td>\n",
" <td>quickstart</td>\n",
" <td>2024-11-14 01:00:00</td>\n",
" <td>0.4468</td>\n",
" <td>0.5532</td>\n",
" <td>0.805644</td>\n",
" <td>55.32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>yes</td>\n",
" <td>0xccadef7757659ce271b209d647c2a51fabd88c77</td>\n",
" <td>1731542400</td>\n",
" <td>quickstart</td>\n",
" <td>2024-11-14 01:00:00</td>\n",
" <td>0.6804</td>\n",
" <td>0.3196</td>\n",
" <td>0.385074</td>\n",
" <td>31.96</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>no</td>\n",
" <td>0x78d0fc5884e74d87b0529e40da2b9490db60e731</td>\n",
" <td>1731628800</td>\n",
" <td>quickstart</td>\n",
" <td>2024-11-15 01:00:00</td>\n",
" <td>0.2358</td>\n",
" <td>0.7642</td>\n",
" <td>0.268926</td>\n",
" <td>23.58</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" currentAnswer id openingTimestamp \\\n",
"0 yes 0x5cae41dcc8a30d76a31b126c6f3b358b8d0131ca 1731542400 \n",
"1 yes 0xf8442bd26cd80d8447bb6203ededc44a77cd2a12 1731542400 \n",
"2 yes 0xde3a4b0d527013165b1b6b8aae051d223f8b770e 1731542400 \n",
"3 yes 0xccadef7757659ce271b209d647c2a51fabd88c77 1731542400 \n",
"4 no 0x78d0fc5884e74d87b0529e40da2b9490db60e731 1731628800 \n",
"\n",
" market_creator opening_datetime first_outcome_prob second_outcome_prob \\\n",
"0 quickstart 2024-11-14 01:00:00 0.3679 0.6321 \n",
"1 quickstart 2024-11-14 01:00:00 0.3368 0.6632 \n",
"2 quickstart 2024-11-14 01:00:00 0.4468 0.5532 \n",
"3 quickstart 2024-11-14 01:00:00 0.6804 0.3196 \n",
"4 quickstart 2024-11-15 01:00:00 0.2358 0.7642 \n",
"\n",
" kl_divergence off_by_perc \n",
"0 0.999944 63.21 \n",
"1 1.088266 66.32 \n",
"2 0.805644 55.32 \n",
"3 0.385074 31.96 \n",
"4 0.268926 23.58 "
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"div_data.head()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Timestamp('2024-12-28 01:00:00')"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"max(div_data.opening_datetime)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>currentAnswer</th>\n",
" <th>id</th>\n",
" <th>openingTimestamp</th>\n",
" <th>market_creator</th>\n",
" <th>opening_datetime</th>\n",
" <th>first_outcome_prob</th>\n",
" <th>second_outcome_prob</th>\n",
" <th>kl_divergence</th>\n",
" <th>off_by_perc</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>120</th>\n",
" <td>yes</td>\n",
" <td>0x5feab3ad41a2575461b06c5e911d67d3616ee17e</td>\n",
" <td>1723420800</td>\n",
" <td>quickstart</td>\n",
" <td>2024-08-12 02:00:00</td>\n",
" <td>0.9034</td>\n",
" <td>0.0966</td>\n",
" <td>0.101590</td>\n",
" <td>9.66</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148</th>\n",
" <td>yes</td>\n",
" <td>0x99a7e8be86a78cf2096a15887e9add122ff113d2</td>\n",
" <td>1723593600</td>\n",
" <td>quickstart</td>\n",
" <td>2024-08-14 02:00:00</td>\n",
" <td>0.9050</td>\n",
" <td>0.0950</td>\n",
" <td>0.099820</td>\n",
" <td>9.50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>194</th>\n",
" <td>no</td>\n",
" <td>0x34acf849dd645b559ddbf09059df39a1d9b10f18</td>\n",
" <td>1723939200</td>\n",
" <td>quickstart</td>\n",
" <td>2024-08-18 02:00:00</td>\n",
" <td>0.0893</td>\n",
" <td>0.9107</td>\n",
" <td>0.093542</td>\n",
" <td>8.93</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" currentAnswer id \\\n",
"120 yes 0x5feab3ad41a2575461b06c5e911d67d3616ee17e \n",
"148 yes 0x99a7e8be86a78cf2096a15887e9add122ff113d2 \n",
"194 no 0x34acf849dd645b559ddbf09059df39a1d9b10f18 \n",
"\n",
" openingTimestamp market_creator opening_datetime first_outcome_prob \\\n",
"120 1723420800 quickstart 2024-08-12 02:00:00 0.9034 \n",
"148 1723593600 quickstart 2024-08-14 02:00:00 0.9050 \n",
"194 1723939200 quickstart 2024-08-18 02:00:00 0.0893 \n",
"\n",
" second_outcome_prob kl_divergence off_by_perc \n",
"120 0.0966 0.101590 9.66 \n",
"148 0.0950 0.099820 9.50 \n",
"194 0.9107 0.093542 8.93 "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"div_data.loc[div_data[\"off_by_perc\"]<=10]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>currentAnswer</th>\n",
" <th>id</th>\n",
" <th>openingTimestamp</th>\n",
" <th>market_creator</th>\n",
" <th>opening_datetime</th>\n",
" <th>first_outcome_prob</th>\n",
" <th>second_outcome_prob</th>\n",
" <th>kl_divergence</th>\n",
" <th>off_by_perc</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>52</th>\n",
" <td>no</td>\n",
" <td>0x927beda324bfd4514a7b64ab5594451fdaf4796e</td>\n",
" <td>1722816000</td>\n",
" <td>quickstart</td>\n",
" <td>2024-08-05 02:00:00</td>\n",
" <td>0.8792</td>\n",
" <td>0.1208</td>\n",
" <td>2.113619</td>\n",
" <td>87.92</td>\n",
" </tr>\n",
" <tr>\n",
" <th>293</th>\n",
" <td>yes</td>\n",
" <td>0x90bb15982f2b5a5f044ad8ff49fe20daddfb8ca7</td>\n",
" <td>1724803200</td>\n",
" <td>quickstart</td>\n",
" <td>2024-08-28 02:00:00</td>\n",
" <td>0.1166</td>\n",
" <td>0.8834</td>\n",
" <td>2.149006</td>\n",
" <td>88.34</td>\n",
" </tr>\n",
" <tr>\n",
" <th>315</th>\n",
" <td>no</td>\n",
" <td>0x29462bf8c8f24772cd6da03878a4aee5c5813474</td>\n",
" <td>1724976000</td>\n",
" <td>pearl</td>\n",
" <td>2024-08-30 02:00:00</td>\n",
" <td>0.9416</td>\n",
" <td>0.0584</td>\n",
" <td>2.840439</td>\n",
" <td>94.16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>323</th>\n",
" <td>yes</td>\n",
" <td>0x0ad9d4edb0a401ec9a5b4f2ccf7942d28c29d4e3</td>\n",
" <td>1724976000</td>\n",
" <td>quickstart</td>\n",
" <td>2024-08-30 02:00:00</td>\n",
" <td>0.0499</td>\n",
" <td>0.9501</td>\n",
" <td>2.997734</td>\n",
" <td>95.01</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" currentAnswer id \\\n",
"52 no 0x927beda324bfd4514a7b64ab5594451fdaf4796e \n",
"293 yes 0x90bb15982f2b5a5f044ad8ff49fe20daddfb8ca7 \n",
"315 no 0x29462bf8c8f24772cd6da03878a4aee5c5813474 \n",
"323 yes 0x0ad9d4edb0a401ec9a5b4f2ccf7942d28c29d4e3 \n",
"\n",
" openingTimestamp market_creator opening_datetime first_outcome_prob \\\n",
"52 1722816000 quickstart 2024-08-05 02:00:00 0.8792 \n",
"293 1724803200 quickstart 2024-08-28 02:00:00 0.1166 \n",
"315 1724976000 pearl 2024-08-30 02:00:00 0.9416 \n",
"323 1724976000 quickstart 2024-08-30 02:00:00 0.0499 \n",
"\n",
" second_outcome_prob kl_divergence off_by_perc \n",
"52 0.1208 2.113619 87.92 \n",
"293 0.8834 2.149006 88.34 \n",
"315 0.0584 2.840439 94.16 \n",
"323 0.9501 2.997734 95.01 "
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"div_data.loc[div_data[\"kl_divergence\"]>=2.0]"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([0.20518085, 0.22002342, 1.19369249, 0.64569124, 0.42663767,\n",
" 0.57075257, 1.01638735, 0.5982007 , 0.64454751, 0.26958024,\n",
" 0.83517168, 0.29249363, 1.09481949, 0.22991644, 0.45381537,\n",
" 0.83263916, 0.87299181, 0.77522529, 0.12908415, 0.84653149,\n",
" 0.23736926, 0.66281198, 0.5982007 , 1.76960666, 0.52087596,\n",
" 0.40481532, 0.82485167, 0.1710256 , 0.31937916, 0.35796149,\n",
" 0.28621648, 0.16960278, 0.65488847, 0.34150488, 0.57057563,\n",
" 1.38509508, 0.34220866, 1.03310549, 0.68438567, 1.48943512,\n",
" 0.61971086, 1.15708922, 0.58429278, 0.14560397, 1.24931891,\n",
" 1.24514208, 1.10352433, 0.25000101, 0.93547355, 0.42801751,\n",
" 0.13570518, 0.64454751, 2.11361899, 1.06740436, 0.49823851,\n",
" 0.51835389, 0.3749844 , 0.23521613, 0.49495227, 0.32739357,\n",
" 1.11596193, 0.23041996, 1.30453006, 0.36744704, 0.84257569,\n",
" 0.36614825, 0.66281198, 1.20130969, 0.37483891, 1.72484876,\n",
" 1.16539332, 0.21245092, 0.8672625 , 0.20998056, 0.57412047,\n",
" 0.16972127, 0.17482969, 0.47449369, 1.12639467, 0.13536164,\n",
" 0.19820707, 0.52627773, 0.43463649, 0.30693285, 0.49823851,\n",
" 0.22639884, 0.48288626, 1.52970294, 0.29008496, 0.16936585,\n",
" 0.37950501, 0.63017238, 0.15221921, 0.34814004, 0.36326806,\n",
" 0.43866001, 0.43866001, 0.16063835, 0.15864409, 0.3844867 ,\n",
" 1.82386952, 0.14768827, 0.16322506, 0.23610215, 1.42628337,\n",
" 0.34686607, 0.53273046, 0.22189433, 0.60147999, 0.70218793,\n",
" 0.4001791 , 0.2612349 , 1.19964883, 0.74254753, 0.31910394,\n",
" 0.72918895, 1.37357559, 0.36759146, 0.25592504, 0.90981177,\n",
" 0.10158986, 0.12715179, 0.21418381, 0.301781 , 0.35069287,\n",
" 0.33799339, 0.46092497, 0.25967788, 0.22840738, 0.6361999 ,\n",
" 0.53939658, 0.74633701, 0.331425 , 0.40466543, 1.10292156,\n",
" 0.25993721, 0.31649315, 0.93216608, 1.71813733, 0.81283202,\n",
" 0.57839094, 0.28634963, 0.3478568 , 0.23610215, 0.67197295,\n",
" 0.86014672, 0.65411879, 1.21334997, 0.09982034, 0.17173776,\n",
" 0.43866001, 0.23319389, 0.97577538, 0.83378951, 0.46187674,\n",
" 0.59438841, 0.67354065, 0.97259657, 0.50385001, 0.41218765,\n",
" 1.43338597, 0.76485803, 0.2527011 , 0.1321609 , 0.61046181,\n",
" 1.03930618, 0.49249467, 0.16146067, 0.11160218, 0.16075578,\n",
" 0.38816561, 0.56721962, 0.81916402, 0.91854327, 1.7406862 ,\n",
" 0.77870507, 0.83863549, 1.10745124, 0.99047563, 0.20874767,\n",
" 0.11428915, 0.56229437, 0.82599309, 1.40120497, 0.33561261,\n",
" 0.15829258, 0.49823851, 0.5982007 , 1.98050159, 0.8703618 ,\n",
" 0.24270871, 0.92533148, 0.55216859, 0.3315643 , 0.09354174,\n",
" 0.15012546, 0.39408016, 1.767262 , 1.08975166, 0.52661631,\n",
" 0.78372856, 0.66884489, 0.53017835, 0.5186898 , 0.17173776,\n",
" 0.64207391, 1.39958226, 0.6806259 , 0.28236291, 0.31800383,\n",
" 0.30218676, 0.57075257, 0.5021963 , 0.26709544, 0.47997316,\n",
" 1.88190302, 0.21306947, 0.92130327, 0.76528786, 0.40077612,\n",
" 0.79540141, 0.80855803, 0.29773241, 1.00430261, 1.23580753,\n",
" 0.81170552, 0.9673209 , 0.60990958, 0.448477 , 0.38639805,\n",
" 0.52746326, 0.76206863, 0.53802554, 0.22727708, 0.19128158,\n",
" 0.42205191, 0.29356602, 1.1017171 , 0.59131287, 0.73334437,\n",
" 1.02443289, 1.41510544, 1.57939379, 0.32185952, 0.58770667,\n",
" 1.27511083, 1.04782412, 0.17316362, 0.22602269, 0.3400988 ,\n",
" 0.46124212, 0.78350962, 0.7001718 , 0.42113728, 0.38038233,\n",
" 1.75446368, 0.82393947, 0.34052042, 0.21294573, 0.1468772 ,\n",
" 0.28581715, 1.75388582, 0.42205191, 1.09123953, 0.15911297,\n",
" 0.13673652, 0.67963883, 0.16652695, 0.26905661, 0.5352891 ,\n",
" 0.17876788, 0.73147229, 0.37483891, 1.67825223, 0.43834994,\n",
" 0.37062899, 0.31580724, 0.43695578, 0.8672625 , 0.14306238,\n",
" 0.58788667, 0.60972557, 1.37753286, 0.12069979, 0.13845779,\n",
" 0.93700377, 0.34743208, 0.12658415, 0.23610215, 0.14421685,\n",
" 0.56352341, 1.29681935, 0.18248157, 2.14900601, 0.45728486,\n",
" 0.47658524, 1.09213332, 0.30924625, 0.22064667, 0.14294701,\n",
" 0.47401165, 0.42587192, 0.76614807, 0.36456312, 0.14629826,\n",
" 0.80140077, 1.50103204, 0.13478933, 0.75077629, 0.36831384,\n",
" 0.19759764, 0.39363536, 0.4807815 , 0.34814004, 0.3831656 ,\n",
" 2.84043939, 0.55112692, 0.20028188, 0.94674994, 0.50236155,\n",
" 0.3738211 , 0.25000101, 1.25141388, 2.99773428, 0.84793139,\n",
" 0.16759059, 0.13433171, 0.42510675, 0.69314718, 0.69555007,\n",
" 0.53290083, 0.46092497, 0.53734073, 0.31320503, 0.67393296,\n",
" 1.59652169, 0.58950815, 0.22991644, 0.69615169, 1.20932041,\n",
" 0.17709524, 0.16877374, 0.71764481, 0.2342045 , 0.34206786,\n",
" 1.6419611 , 0.5519949 , 0.46314719, 0.32365473, 0.16463882,\n",
" 0.43371027, 0.43417327, 0.1782897 , 0.71192234, 0.37833644,\n",
" 0.32158362, 0.34347671, 0.18608864, 0.95815494, 0.57075257,\n",
" 1.28989387, 0.22765371, 0.81238127, 0.38404614, 0.47658524,\n",
" 0.30734071, 1.81584726, 0.98029606, 0.69314718, 0.66689481,\n",
" 1.0782216 , 0.20028188, 0.65277329, 0.28701563, 0.69314718,\n",
" 0.69314718, 0.69314718, 0.69314718, 0.2826282 , 0.3569607 ,\n",
" 0.18693217, 0.93700377, 0.66009933, 0.33561261, 1.35595916,\n",
" 0.5808905 , 0.52915933, 0.95295472, 0.3093825 , 0.46601161,\n",
" 0.57128359, 1.32463498, 0.69314718, 0.69314718, 0.72815279,\n",
" 0.69314718, 1.51458238, 0.53631439, 0.94623461, 0.7870184 ,\n",
" 0.95815494, 0.79053953, 0.36701392, 0.35140315, 0.94494744,\n",
" 0.32379296, 0.69314718, 0.84350506, 0.35738948, 0.62735944,\n",
" 0.69314718, 0.69314718, 0.62418098, 0.69314718, 0.69314718,\n",
" 0.60330648, 0.69314718, 1.29062061, 1.15740734, 0.60239282,\n",
" 0.57252374, 0.95139991, 0.85896567, 0.83263916, 0.69314718,\n",
" 0.52746326, 0.75395932, 0.57057563, 1.38949949, 0.69314718,\n",
" 0.98349948, 0.25721753, 1.67450991, 0.23117572, 0.27878841,\n",
" 0.69314718, 0.69314718, 0.69314718, 0.78679874, 0.34488755,\n",
" 0.37033931, 0.27984619, 0.29383429, 0.91180083, 0.69314718,\n",
" 0.69314718, 0.6953496 , 0.67924428, 0.69314718, 0.69314718,\n",
" 0.6909496 , 0.43479094, 0.69314718, 0.69314718, 0.58536959,\n",
" 0.8187104 , 0.6953496 , 0.83263916, 0.66904011, 0.69314718,\n",
" 0.69314718, 0.43155244, 0.85496048, 0.69314718, 0.69314718,\n",
" 0.69314718, 0.6953496 , 0.37994357, 0.67688021, 0.65027928,\n",
" 0.63468961, 0.90362133, 0.69314718, 0.90312775, 0.41143288,\n",
" 0.69314718, 0.91804226, 0.93521874, 0.45744285, 0.69314718,\n",
" 0.38243241, 0.36528332, 0.69314718, 0.69314718, 0.69314718,\n",
" 0.69314718, 0.69314718, 0.75502258, 0.69314718, 0.34644177,\n",
" 0.43216849, 1.2265593 , 0.69314718, 1.30195321, 0.67119001,\n",
" 0.35524739, 0.69314718, 0.67119001, 0.44613086, 0.71559731,\n",
" 0.69314718, 0.76314055, 0.26565969, 0.69314718, 0.57075257,\n",
" 0.86132917, 0.57075257, 0.55025969, 1.25421402, 0.35610368,\n",
" 0.69314718, 0.69314718, 0.39245017, 0.69314718, 0.54731673,\n",
" 0.25128586, 1.50688132, 0.31512179, 0.29948478, 0.37687765,\n",
" 0.4764242 , 0.69314718, 0.95659203, 0.31704223, 0.15712176,\n",
" 0.18693217, 0.14629826, 0.69314718, 0.29437106, 0.4405225 ,\n",
" 0.73022619, 1.55211285, 0.2010152 , 0.16699954, 0.8603831 ,\n",
" 1.83320666, 0.95633178, 0.83471074, 0.26513811, 0.69314718,\n",
" 1.07704651, 0.5163408 , 0.35197174, 0.69314718, 0.83263916,\n",
" 0.30979136, 0.92861638, 0.69314718, 0.69314718, 0.27338477,\n",
" 0.69314718, 0.69314718, 0.69314718, 0.82211756, 0.69314718,\n",
" 0.69735603, 0.29557984, 0.81215597, 0.36571569, 0.69314718,\n",
" 1.24132859, 0.69314718, 0.21815601, 0.30584604, 0.28861584,\n",
" 0.31717954, 0.55216859, 0.29894526, 0.69314718, 0.69856181,\n",
" 0.69314718, 1.38909829, 0.35496213, 0.69314718, 0.27680808,\n",
" 0.69314718, 0.69314718, 0.69314718, 0.67119001, 0.69314718,\n",
" 0.27931716, 0.69314718, 0.69314718, 0.57075257, 0.69314718,\n",
" 0.49298571, 0.2182804 , 1.05096564, 0.65932563, 1.03704693,\n",
" 0.57075257, 0.49036962, 0.53597251, 0.4764242 , 0.73459437,\n",
" 0.50005055, 0.4764242 , 0.69314718, 0.64588199, 0.37965117,\n",
" 0.5608916 , 0.69314718, 0.68617157, 1.30822283, 0.93547355,\n",
" 0.69314718, 0.97021907, 0.65027928, 1.09871229, 0.25077172,\n",
" 0.69314718, 0.69314718, 0.92558378, 0.69314718, 0.57110655,\n",
" 0.69314718, 0.69314718, 0.69314718, 0.83263916, 0.69314718,\n",
" 0.69314718, 0.53682743, 0.69314718, 1.33370191, 1.13072234,\n",
" 0.28090509, 0.72278199, 0.71559731, 0.69314718, 0.86988436,\n",
" 0.69314718, 0.61766872, 0.33017212, 0.69314718, 0.69314718,\n",
" 0.69314718])"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"div_data.kl_divergence.values"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"all_markets = closed_markets.copy(deep=True)\n",
" all_markets[\"market_creator\"] = \"all\"\n",
"\n",
" # merging both dataframes\n",
" final_markets = pd.concat([div_data, all_markets], ignore_index=True)\n",
" final_markets = final_markets.sort_values(by=\"opening_datetime\", ascending=True)\n",
"\n",
" # Create the main figure and axis\n",
" fig, ax1 = plt.subplots(figsize=(10, 6))\n",
"\n",
" # Create the boxplot using seaborn\n",
" sns.boxplot(\n",
" data=closed_markets,\n",
" x=\"month_year_week\",\n",
" y=\"kl_divergence\",\n",
" ax=ax1,\n",
" hue=\"market_creator\",\n",
" order=[\"pearl\", \"quickstart\", \"all\"],\n",
" )\n",
"\n",
" # Set labels and title for the main axis\n",
" ax1.set_xlabel(\"Week\")\n",
" ax1.set_ylabel(\"KL Divergence\")\n",
" ax1.set_title(\"KL Divergence Boxplot with Off-by Percentage\")\n",
"\n",
" # Create a secondary y-axis\n",
" ax2 = ax1.twinx()\n",
"\n",
" # Plot the off_by_perc values on the secondary y-axis\n",
" for i, week in enumerate(closed_markets[\"month_year_week\"].unique()):\n",
" off_by_perc = closed_markets[closed_markets[\"month_year_week\"] == week][\n",
" \"off_by_perc\"\n",
" ]\n",
" ax2.scatter([i] * len(off_by_perc), off_by_perc, color=\"red\", alpha=0.01)\n",
"\n",
" # Set label for the secondary y-axis\n",
" ax2.set_ylabel(\"Off-by Percentage\")\n",
"\n",
" # Adjust the layout and display the plot\n",
" plt.tight_layout()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "hf_dashboards",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|