Content for Decem's Python course.
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1{ 2 "cells": [ 3 { 4 "cell_type": "markdown", 5 "metadata": { 6 "slideshow": { 7 "slide_type": "slide" 8 } 9 }, 10 "source": [ 11 "## 12. Visualización de resultados con Matplotlib" 12 ] 13 }, 14 { 15 "cell_type": "markdown", 16 "metadata": { 17 "slideshow": { 18 "slide_type": "slide" 19 } 20 }, 21 "source": [ 22 "**Matplotlib** es una librería para Python que permite representar y dibujar gráficos en 2D de gran calidad. Se integra con NumPy, pandas y Jupyther\n", 23 "\n", 24 "Es la forma más utilizada de visualizar datos en Python." 25 ] 26 }, 27 { 28 "cell_type": "markdown", 29 "metadata": { 30 "slideshow": { 31 "slide_type": "slide" 32 } 33 }, 34 "source": [ 35 "Se puede instalar en nuestro entorno virtual con el siguiente comando:\n", 36 "\n", 37 "```\n", 38 "pipenv install matplotlib\n", 39 "```" 40 ] 41 }, 42 { 43 "cell_type": "markdown", 44 "metadata": { 45 "slideshow": { 46 "slide_type": "slide" 47 } 48 }, 49 "source": [ 50 "Para usar **Matplotlib** en Jupyter dentro de un notebook, y visualizar las gráficas en el propio navegador, primero tenemos que activar la libreria, con un comando de Jupyter (empieza con `%`):" 51 ] 52 }, 53 { 54 "cell_type": "code", 55 "execution_count": 1, 56 "metadata": { 57 "slideshow": { 58 "slide_type": "fragment" 59 } 60 }, 61 "outputs": [], 62 "source": [ 63 "%matplotlib inline" 64 ] 65 }, 66 { 67 "cell_type": "markdown", 68 "metadata": { 69 "slideshow": { 70 "slide_type": "slide" 71 } 72 }, 73 "source": [ 74 "Después de activar Matplotlib en Jupyter, podemos importar la librería para utilizarla:" 75 ] 76 }, 77 { 78 "cell_type": "code", 79 "execution_count": 3, 80 "metadata": { 81 "slideshow": { 82 "slide_type": "fragment" 83 } 84 }, 85 "outputs": [], 86 "source": [ 87 "import matplotlib.pyplot as plt" 88 ] 89 }, 90 { 91 "cell_type": "markdown", 92 "metadata": { 93 "slideshow": { 94 "slide_type": "fragment" 95 } 96 }, 97 "source": [ 98 "Se utiliza el alias `plt` como estándar de facto par el uso de **Matplotlib**." 99 ] 100 }, 101 { 102 "cell_type": "code", 103 "execution_count": 5, 104 "metadata": { 105 "scrolled": true, 106 "slideshow": { 107 "slide_type": "slide" 108 } 109 }, 110 "outputs": [ 111 { 112 "name": "stdout", 113 "output_type": "stream", 114 "text": [ 115 "[-1.02863835 -2.12761573 -1.1752449 -0.73723651 -0.94338067 -0.52004283\n", 116 " -0.62843646 0.38499025 0.90978612 1.02551133 0.8390467 -0.62336817\n", 117 " -0.42356347 -2.08996516 -1.49189922 0.61037416 0.15665986 2.1773096\n", 118 " 3.3008169 3.60381656 2.41009493 3.90540367 4.85075032 5.11319614\n", 119 " 5.56020093 4.87633511 4.17331661 4.23431875 3.9690097 4.41801309\n", 120 " 6.07002078 5.71447917 6.53803362 6.71765872 6.11396015 4.77741416\n", 121 " 5.47185985 5.49372347 5.83802746 5.82764179 5.89456568 7.77531779\n", 122 " 9.04523358 9.58207098 9.78913115 9.29631786 11.01116344 12.37017566\n", 123 " 11.00418013 10.23439153]\n" 124 ] 125 }, 126 { 127 "data": { 128 "image/png": 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\n", 129 "text/plain": [ 130 "<Figure size 432x288 with 1 Axes>" 131 ] 132 }, 133 "metadata": { 134 "needs_background": "light" 135 }, 136 "output_type": "display_data" 137 } 138 ], 139 "source": [ 140 "import numpy as np\n", 141 "\n", 142 "x = np.random.randn(50).cumsum()\n", 143 "plt.plot(x)\n", 144 "print(x)" 145 ] 146 }, 147 { 148 "cell_type": "markdown", 149 "metadata": { 150 "slideshow": { 151 "slide_type": "slide" 152 } 153 }, 154 "source": [ 155 "- La librería **Matplotlib** es muy extensa y puede ser compleja, pero se puede entender con una serie de conceptos generales que se utilizan de forma trasversal en toda esta.\n", 156 "\n", 157 "- Dibujar gráficas requiere acciones a diferentes niveles de abstracción, desde \"dibuja los valores de este array bi-dimensional\" a \"cambia el color de este pixel\".\n", 158 "\n", 159 "- Por ello, Matplotlib ofrece una jerarquía de funciones desde las más generales a las más específicas." 160 ] 161 }, 162 { 163 "cell_type": "markdown", 164 "metadata": { 165 "slideshow": { 166 "slide_type": "slide" 167 } 168 }, 169 "source": [ 170 "### Parte esencial de una gráfica: `figure`\n", 171 "\n", 172 "![Partes de una gráfica](https://matplotlib.org/_images/anatomy.png)\n" 173 ] 174 }, 175 { 176 "cell_type": "markdown", 177 "metadata": { 178 "slideshow": { 179 "slide_type": "slide" 180 } 181 }, 182 "source": [ 183 "#### Figure\n", 184 "\n", 185 "El objeto `figure` contiene los ejes de coordenadas, títulos, leyendas, y el lienzo donde se va a dibujar. Un objeto `figure` puede tener cualquier número de ejes, pero para ser útil, al menos ha de tener un par.\n" 186 ] 187 }, 188 { 189 "cell_type": "code", 190 "execution_count": 6, 191 "metadata": { 192 "slideshow": { 193 "slide_type": "slide" 194 } 195 }, 196 "outputs": [ 197 { 198 "data": { 199 "text/plain": [ 200 "[]" 201 ] 202 }, 203 "execution_count": 6, 204 "metadata": {}, 205 "output_type": "execute_result" 206 }, 207 { 208 "data": { 209 "image/png": 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Hz3n/MC/nvCSfQ5ckPdFSvUKXJM2wqIO+P/4u0wHO+Z1JbklyU5IvJzliFHMOU79z7ln32iSVZMl/RcQg55zktO7HenuSSxZ6xmEb4M/2c5NsTXJD98/3qaOYc1iSXJTkniQ3z7E/ST7S/f9xU5Jj9/mgVbUo3+j8ZMdvA88DDgS+DqyZseZtwIXd2xuAT4967gU4518DDu7ePnt/OOfuukOAa4BtwPio516Aj/Nq4AbgGd37zxr13AtwzpuBs7u31wB3jHrufTznXwWOBW6eY/+pwJVAgBOAa/f1mIv5Cn1//F2mfc+5qrZW1UPdu9vo/MKRpWyQjzPA++j88vGHF3K4eTLIOZ8JbKqq+wGq6p4FnnHYBjnnAp7evX0ocNcCzjd0VXUNnR8nPpf1wCerYxtwWJJn78sxF3PQh/a7TJeQQc651xl0PsMvZX3PuftP0ZVV9YWFHGweDfJxPgo4KslXk2xLsnbBppsfg5zz+cAbk+yk8+O637Ewo43Mnv5972ugn4euxSfJG4Fx4BWjnmU+JXkS8CHg9BGPstCW0Xna5UQ6/wq7JskvVNUDI51qfm0ELq6qv0ryMjq/NOfFVfWTUQ+2VCzmK/T98XeZDnLOJDkZeC+wrqoeWaDZ5ku/cz4EeDFwdZI76DzXOLHEXxgd5OO8E5ioqseq6jvAN+kEfqka5JzPAC4HqKqvAU+h8zNPWjXQ3/c9sZiDvj/+LtO+55zkJcDH6MR8qT+vCn3OuaoerKrlVbWqqlbRed1gXVVNjmbcoRjkz/bn6Fydk2Q5nadgbl/IIYdskHP+HvBKgCRH0wn69IJOubAmgDd1v9rlBODBqrp7nx5x1K8E93mV+FQ6VybfBt7b3XYBnb/Q0PmAXwFMAf8JPG/UMy/AOX8J+D5wY/dtYtQzz/c5z1h7NUv8q1wG/DiHzlNNtwDfADaMeuYFOOc1wFfpfAXMjcCrRj3zPp7vpcDdwGN0/sV1BvBW4K09H+NN3f8f3xjGn2u/U1SSGrGYn3KRJO0Bgy5JjTDoktQIgy5JjTDoktQIgy5JjTDoktQIgy5Jjfh/qMXjV22/5LMAAAAASUVORK5CYII=\n", 210 "text/plain": [ 211 "<Figure size 432x288 with 1 Axes>" 212 ] 213 }, 214 "metadata": { 215 "needs_background": "light" 216 }, 217 "output_type": "display_data" 218 } 219 ], 220 "source": [ 221 "fig = plt.figure()\n", 222 "fig.suptitle('figure vacío') \n", 223 "plt.plot()" 224 ] 225 }, 226 { 227 "cell_type": "markdown", 228 "metadata": { 229 "slideshow": { 230 "slide_type": "slide" 231 } 232 }, 233 "source": [ 234 "Cuando usas el comando `plot`, Matplotlib utiliza el último objeto `figure` definido, o lo crea en caso de que no exista ninguno con anterioridad." 235 ] 236 }, 237 { 238 "cell_type": "code", 239 "execution_count": 7, 240 "metadata": { 241 "slideshow": { 242 "slide_type": "slide" 243 } 244 }, 245 "outputs": [ 246 { 247 "data": { 248 "text/plain": [ 249 "[<matplotlib.lines.Line2D at 0x11f0045f8>]" 250 ] 251 }, 252 "execution_count": 7, 253 "metadata": {}, 254 "output_type": "execute_result" 255 }, 256 { 257 "data": { 258 "image/png": 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\n", 259 "text/plain": [ 260 "<Figure size 432x288 with 3 Axes>" 261 ] 262 }, 263 "metadata": { 264 "needs_background": "light" 265 }, 266 "output_type": "display_data" 267 } 268 ], 269 "source": [ 270 "fig = plt.figure()\n", 271 "ax1 = fig.add_subplot(2, 2, 1)\n", 272 "plt.plot(np.random.randn(50).cumsum(), 'k--')\n", 273 "ax2 = fig.add_subplot(2, 2, 2)\n", 274 "plt.plot(np.random.randn(50).cumsum(), 'k--')\n", 275 "ax3 = fig.add_subplot(2, 2, 3)\n", 276 "plt.plot(np.random.randn(50).cumsum(), 'k--')" 277 ] 278 }, 279 { 280 "cell_type": "code", 281 "execution_count": 8, 282 "metadata": { 283 "scrolled": true, 284 "slideshow": { 285 "slide_type": "slide" 286 } 287 }, 288 "outputs": [ 289 { 290 "data": { 291 "image/png": 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\n", 292 "text/plain": [ 293 "<Figure size 432x288 with 2 Axes>" 294 ] 295 }, 296 "metadata": { 297 "needs_background": "light" 298 }, 299 "output_type": "display_data" 300 } 301 ], 302 "source": [ 303 "x = np.arange(0, 3 * np.pi, 0.1)\n", 304 "y_sin = np.sin(x)\n", 305 "y_cos = np.cos(x)\n", 306 "\n", 307 "plt.subplot(2, 1, 1)\n", 308 "\n", 309 "plt.plot(x, y_sin)\n", 310 "plt.title('Sine')\n", 311 "\n", 312 "plt.subplot(2, 1, 2)\n", 313 "plt.plot(x, y_cos)\n", 314 "plt.title('Cosine')\n", 315 "\n", 316 "plt.show()" 317 ] 318 }, 319 { 320 "cell_type": "markdown", 321 "metadata": { 322 "slideshow": { 323 "slide_type": "slide" 324 } 325 }, 326 "source": [ 327 "**Matplotlib** también se integra en **pandas**, y se puede usar directamente como un método de un DataFrame." 328 ] 329 }, 330 { 331 "cell_type": "code", 332 "execution_count": 9, 333 "metadata": { 334 "slideshow": { 335 "slide_type": "slide" 336 } 337 }, 338 "outputs": [ 339 { 340 "data": { 341 "text/plain": [ 342 "<matplotlib.axes._subplots.AxesSubplot at 0x120ff54e0>" 343 ] 344 }, 345 "execution_count": 9, 346 "metadata": {}, 347 "output_type": "execute_result" 348 }, 349 { 350 "data": { 351 "image/png": 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\n", 352 "text/plain": [ 353 "<Figure size 432x288 with 1 Axes>" 354 ] 355 }, 356 "metadata": { 357 "needs_background": "light" 358 }, 359 "output_type": "display_data" 360 } 361 ], 362 "source": [ 363 "import pandas as pd\n", 364 "\n", 365 "ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))\n", 366 "ts = ts.cumsum()\n", 367 "ts.plot()" 368 ] 369 }, 370 { 371 "cell_type": "code", 372 "execution_count": 10, 373 "metadata": { 374 "slideshow": { 375 "slide_type": "slide" 376 } 377 }, 378 "outputs": [ 379 { 380 "data": { 381 "text/html": [ 382 "<div>\n", 383 "<style scoped>\n", 384 " .dataframe tbody tr th:only-of-type {\n", 385 " vertical-align: middle;\n", 386 " }\n", 387 "\n", 388 " .dataframe tbody tr th {\n", 389 " vertical-align: top;\n", 390 " }\n", 391 "\n", 392 " .dataframe thead th {\n", 393 " text-align: right;\n", 394 " }\n", 395 "</style>\n", 396 "<table border=\"1\" class=\"dataframe\">\n", 397 " <thead>\n", 398 " <tr style=\"text-align: right;\">\n", 399 " <th></th>\n", 400 " <th>A</th>\n", 401 " <th>B</th>\n", 402 " <th>C</th>\n", 403 " <th>D</th>\n", 404 " </tr>\n", 405 " </thead>\n", 406 " <tbody>\n", 407 " <tr>\n", 408 " <th>2000-01-01</th>\n", 409 " <td>-1.252297</td>\n", 410 " <td>0.309457</td>\n", 411 " <td>0.564062</td>\n", 412 " <td>-0.317236</td>\n", 413 " </tr>\n", 414 " <tr>\n", 415 " <th>2000-01-02</th>\n", 416 " <td>-2.284369</td>\n", 417 " <td>1.329985</td>\n", 418 " <td>-0.889674</td>\n", 419 " <td>0.140528</td>\n", 420 " </tr>\n", 421 " <tr>\n", 422 " <th>2000-01-03</th>\n", 423 " <td>-1.571075</td>\n", 424 " <td>3.708584</td>\n", 425 " <td>0.078306</td>\n", 426 " <td>0.275802</td>\n", 427 " </tr>\n", 428 " <tr>\n", 429 " <th>2000-01-04</th>\n", 430 " <td>0.140441</td>\n", 431 " <td>2.540125</td>\n", 432 " <td>-0.944073</td>\n", 433 " <td>-2.817273</td>\n", 434 " </tr>\n", 435 " <tr>\n", 436 " <th>2000-01-05</th>\n", 437 " <td>1.970367</td>\n", 438 " <td>3.154948</td>\n", 439 " <td>-1.961204</td>\n", 440 " <td>-2.834195</td>\n", 441 " </tr>\n", 442 " </tbody>\n", 443 "</table>\n", 444 "</div>" 445 ], 446 "text/plain": [ 447 " A B C D\n", 448 "2000-01-01 -1.252297 0.309457 0.564062 -0.317236\n", 449 "2000-01-02 -2.284369 1.329985 -0.889674 0.140528\n", 450 "2000-01-03 -1.571075 3.708584 0.078306 0.275802\n", 451 "2000-01-04 0.140441 2.540125 -0.944073 -2.817273\n", 452 "2000-01-05 1.970367 3.154948 -1.961204 -2.834195" 453 ] 454 }, 455 "execution_count": 10, 456 "metadata": {}, 457 "output_type": "execute_result" 458 } 459 ], 460 "source": [ 461 "df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index, columns=['A', 'B', 'C', 'D'])\n", 462 "df = df.cumsum()\n", 463 "df.head()" 464 ] 465 }, 466 { 467 "cell_type": "code", 468 "execution_count": 11, 469 "metadata": { 470 "slideshow": { 471 "slide_type": "slide" 472 } 473 }, 474 "outputs": [ 475 { 476 "data": { 477 "text/plain": [ 478 "<Figure size 432x288 with 0 Axes>" 479 ] 480 }, 481 "execution_count": 11, 482 "metadata": {}, 483 "output_type": "execute_result" 484 }, 485 { 486 "data": { 487 "text/plain": [ 488 "<Figure size 432x288 with 0 Axes>" 489 ] 490 }, 491 "metadata": {}, 492 "output_type": "display_data" 493 } 494 ], 495 "source": [ 496 "plt.figure()" 497 ] 498 }, 499 { 500 "cell_type": "code", 501 "execution_count": 12, 502 "metadata": { 503 "slideshow": { 504 "slide_type": "slide" 505 } 506 }, 507 "outputs": [ 508 { 509 "data": { 510 "text/plain": [ 511 "<matplotlib.axes._subplots.AxesSubplot at 0x11f049a20>" 512 ] 513 }, 514 "execution_count": 12, 515 "metadata": {}, 516 "output_type": "execute_result" 517 }, 518 { 519 "data": { 520 "image/png": 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\n", 521 "text/plain": [ 522 "<Figure size 432x288 with 1 Axes>" 523 ] 524 }, 525 "metadata": { 526 "needs_background": "light" 527 }, 528 "output_type": "display_data" 529 } 530 ], 531 "source": [ 532 "df.plot()" 533 ] 534 }, 535 { 536 "cell_type": "code", 537 "execution_count": null, 538 "metadata": {}, 539 "outputs": [], 540 "source": [] 541 } 542 ], 543 "metadata": { 544 "celltoolbar": "Slideshow", 545 "kernelspec": { 546 "display_name": "Python 3", 547 "language": "python", 548 "name": "python3" 549 }, 550 "language_info": { 551 "codemirror_mode": { 552 "name": "ipython", 553 "version": 3 554 }, 555 "file_extension": ".py", 556 "mimetype": "text/x-python", 557 "name": "python", 558 "nbconvert_exporter": "python", 559 "pygments_lexer": "ipython3", 560 "version": "3.7.1" 561 } 562 }, 563 "nbformat": 4, 564 "nbformat_minor": 2 565}