{"id":2995,"date":"2017-07-13T11:05:34","date_gmt":"2017-07-13T16:05:34","guid":{"rendered":"http:\/\/blog.espol.edu.ec\/matg1013\/?p=2995"},"modified":"2026-04-01T17:14:03","modified_gmt":"2026-04-01T22:14:03","slug":"interpolar-mascota-descansando","status":"publish","type":"post","link":"https:\/\/blog.espol.edu.ec\/algoritmos101\/mn-u04\/interpolar-mascota-descansando\/","title":{"rendered":"4.8.2 Interpolar - Mascota descansando"},"content":{"rendered":"\n<p><strong>Referencia<\/strong>: Burden 9th Ed. Ejercicio 32 p164<\/p>\n\n\n\n<p>La parte superior de una mascota descansando se describe con los puntos presentados en la tabla.&nbsp; Los puntos se usan para ejercicios de interpolaci\u00f3n.<\/p>\n\n\n\n<pre class=\"wp-block-code alignwide\"><code>xiA = &#091;1,2,5,6,7,8,10,13,17,20,23,24,25,27,27.7,28,29,30]\n\nfiA = &#091;3.0,3.7,3.9,4.2,5.7,6.6,7.1,6.7,4.5,7.0,6.1,5.6,5.8,5.2,4.1,4.3,4.1,3.0]<\/code><\/pre>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"691\" height=\"349\" src=\"http:\/\/blog.espol.edu.ec\/algoritmos101\/files\/2017\/07\/mascotadescansando01.png\" alt=\"mascota descansando 01 png\" class=\"wp-image-13561\" \/><\/figure>\n\n\n\n<p>otros perfiles<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"992\" height=\"363\" src=\"http:\/\/blog.espol.edu.ec\/algoritmos101\/files\/2017\/07\/mascotadescansando02.gif\" alt=\"mascota descansando gr\u00e1fica de puntos 02\" class=\"wp-image-23308\" \/><\/figure>\n\n\n\n<pre class=\"wp-block-code alignwide\"><code># Perfil Superior de mascota\nxiA = &#091;1,2,5,6,7,8,10,13,17,20,23,24,25,27,27.7,28,29,30]\nfiA = &#091;3.0,3.7,3.9,4.2,5.7,6.6,7.1,6.7,4.5,7.0,6.1,5.6,5.8,5.2,4.1,4.3,4.1,3.0]\n\n# Perfil inferior de mascota\nxiB = &#091;  1.05,  3.05,  5.2 ,  7.1 ,  8.55,  8.3 ,  7.95,  8.85, 10.75, 12.4,\n        13.45, 14.45, 15.6 , 17.3 , 17.7 , 18.6 , 20.55, 22.3 , 23.6 , 24.25,\n        24.95, 26.95, 27.6 , 28.15, 28.75, 29.25, 29.7 , 29.95]\nfiB = &#091;  2.95,  3.  , 2.85 , 2.75 ,  3.4 ,  2.9 ,  2.2 ,  1.7 , 2.05 , 1.7 ,\n         1.9 ,  1.9 , 2.   , 1.9  ,  1.6 ,  1.75,  1.6 ,  1.25, 1.35 , 1.4 ,\n         1.4 ,  2.  , 2.65 , 2.65 , 2.55 ,  2.9 ,  2.8 ,  3.1 ]<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">1.1 Algoritmo inicial para la gr\u00e1fica de puntos por grupo mostrada<\/h3>\n\n\n<div class=\"wp-block-syntaxhighlighter-code alignwide\"><pre class=\"brush: python; title: ; notranslate\" title=\"\">\n# taller de Interpolacion\n# gr\u00e1fica de puntos por grupos\nimport numpy as np\n\n# INGRESO\ntitulo = 'mascota descansando'\n\n# Perfil Superior de mascota\nxiA = &#x5B;1,2,5,6,7,8,10,13,17,20,23,24,25,27,27.7,28,29,30]\nfiA = &#x5B;3.0,3.7,3.9,4.2,5.7,6.6,7.1,6.7,4.5,7.0,6.1,5.6,5.8,5.2,4.1,4.3,4.1,3.0]\n\n# Perfil inferior de mascota\nxiB = &#x5B;  1.05,  3.05,  5.2 ,  7.1 ,  8.55,  8.3 ,  7.95,  8.85, 10.75, 12.4,\n        13.45, 14.45, 15.6 , 17.3 , 17.7 , 18.6 , 20.55, 22.3 , 23.6 , 24.25,\n        24.95, 26.95, 27.6 , 28.15, 28.75, 29.25, 29.7 , 29.95]\nfiB = &#x5B;  2.95,  3.  , 2.85 , 2.75 ,  3.4 ,  2.9 ,  2.2 ,  1.7 , 2.05 , 1.7 ,\n         1.9 ,  1.9 , 2.   , 1.9  ,  1.6 ,  1.75,  1.6 ,  1.25, 1.35 , 1.4 ,\n         1.4 ,  2.  , 2.65 , 2.65 , 2.55 ,  2.9 ,  2.8 ,  3.1 ]\n\n# todos los grupos\nxi = &#x5B;xiA,xiB]\nfi = &#x5B;fiA,fiB]\netiq = &#x5B;'A','B']\n\n# PROGRAMA\nn = len(xi)\n# convierte en arreglos cada grupo de datos\nfor j in range(0,n,1):\n    xi&#x5B;j] = np.array(xi&#x5B;j],dtype=float)\n    fi&#x5B;j] = np.array(fi&#x5B;j],dtype=float)\n\n# SALIDA\nprint(titulo)\n\n# GRAFICA ---------------------\nimport matplotlib.pyplot as plt\n\nfor j in range(0,n,1):\n    plt.plot(xi&#x5B;j],fi&#x5B;j],'.', label=etiq&#x5B;j])\n    \n# entorno de gr\u00e1fica\nplt.xlabel('xi')\nplt.ylabel('fi')\nplt.title(titulo)\nplt.legend()\nplt.grid()\nplt.tight_layout()\nplt.show()\n<\/pre><\/div>","protected":false},"excerpt":{"rendered":"<p>Referencia: Burden 9th Ed. Ejercicio 32 p164 La parte superior de una mascota descansando se describe con los puntos presentados en la tabla.&nbsp; Los puntos se usan para ejercicios de interpolaci\u00f3n. otros perfiles 1.1 Algoritmo inicial para la gr\u00e1fica de puntos por grupo mostrada<\/p>\n","protected":false},"author":8043,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"wp-custom-template-entrada-mn-unidades","format":"standard","meta":{"footnotes":""},"categories":[38],"tags":[],"class_list":["post-2995","post","type-post","status-publish","format-standard","hentry","category-mn-u04"],"_links":{"self":[{"href":"https:\/\/blog.espol.edu.ec\/algoritmos101\/wp-json\/wp\/v2\/posts\/2995","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.espol.edu.ec\/algoritmos101\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.espol.edu.ec\/algoritmos101\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.espol.edu.ec\/algoritmos101\/wp-json\/wp\/v2\/users\/8043"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.espol.edu.ec\/algoritmos101\/wp-json\/wp\/v2\/comments?post=2995"}],"version-history":[{"count":5,"href":"https:\/\/blog.espol.edu.ec\/algoritmos101\/wp-json\/wp\/v2\/posts\/2995\/revisions"}],"predecessor-version":[{"id":23309,"href":"https:\/\/blog.espol.edu.ec\/algoritmos101\/wp-json\/wp\/v2\/posts\/2995\/revisions\/23309"}],"wp:attachment":[{"href":"https:\/\/blog.espol.edu.ec\/algoritmos101\/wp-json\/wp\/v2\/media?parent=2995"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.espol.edu.ec\/algoritmos101\/wp-json\/wp\/v2\/categories?post=2995"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.espol.edu.ec\/algoritmos101\/wp-json\/wp\/v2\/tags?post=2995"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}