{"id":3918,"date":"2023-07-14T18:26:54","date_gmt":"2023-07-14T18:26:54","guid":{"rendered":"https:\/\/statorials.org\/ko\/3%e1%84%8e%e1%85%a1-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/"},"modified":"2023-07-14T18:26:54","modified_gmt":"2023-07-14T18:26:54","slug":"3%e1%84%8e%e1%85%a1-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/3%e1%84%8e%e1%85%a1-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/","title":{"rendered":"Python\uc5d0\uc11c 3\ucc28 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

3\ucc28 \ud68c\uadc0\ub294<\/strong> \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\uac00 \ube44\uc120\ud615\uc77c \ub54c \uc608\uce21 \ubcc0\uc218\uc640 \ubc18\uc751 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\ub97c \uc218\ub7c9\ud654\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ud68c\uadc0 \uc720\ud615\uc785\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c 3\ucc28 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc608: Python\uc758 3\ucc28 \ud68c\uadc0<\/span><\/strong><\/h2>\n

\ub450 \uac1c\uc758 \ubcc0\uc218(x \ubc0f y)\ub97c \ud3ec\ud568\ud558\ub294 \ub2e4\uc74c pandas DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' x<\/span> ': [6, 9, 12, 16, 22, 28, 33, 40, 47, 51, 55, 60],\n                   ' y<\/span> ': [14, 28, 50, 64, 67, 57, 55, 57, 68, 74, 88, 110]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n     xy\n0 6 14\n1 9 28\n2 12 50\n3 16 64\n4 22 67\n5 28 57\n6 33 55\n7 40 57\n8 47 68\n9 51 74\n10 55 88\n11 60 110\n<\/strong><\/pre>\n
 \uc774 \ub370\uc774\ud130\uc758 \uac04\ub2e8\ud55c \uc0b0\uc810\ub3c4\ub97c \ub9cc\ub4e4\uba74 \ub450 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\uac00 \ube44\uc120\ud615\uc784\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import matplotlib. pyplot<\/span><\/span> as plt<\/span>\n\n#create scatterplot\n<\/span>plt. scatter<\/span> (df. x<\/span> , df. y<\/span> )<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 x \uac12\uc774 \uc99d\uac00\ud558\uba74 y\ub294 \ud2b9\uc815 \uc9c0\uc810\uae4c\uc9c0 \uc99d\uac00\ud55c \ub2e4\uc74c \uac10\uc18c\ud558\uace0 \ub2e4\uc2dc \uc99d\uac00\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ud50c\ub86f\uc5d0 \ub450 \uac1c\uc758 “\uace1\uc120”\uc774 \uc788\ub294 \uc774 \ud328\ud134\uc740 \ub450 \ubcc0\uc218 \uac04\uc758 3\ucc28 \uad00\uacc4\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774\ub294 3\ucc28 \ud68c\uadc0 \ubaa8\ub378\uc774 \ub450 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\ub97c \uc815\ub7c9\ud654\ud558\ub294 \ub370 \uc801\ud569\ud55c \ud6c4\ubcf4\ub77c\ub294 \uac83\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 3\ucc28 \ud68c\uadc0\ub97c \uc218\ud589\ud558\uae30 \uc704\ud574 numpy.polyfit()<\/a> \ud568\uc218<\/span> \ub97c \uc0ac\uc6a9\ud558\uc5ec 3\ucc28 \ub2e4\ud56d\uc2dd \ud68c\uadc0 \ubaa8\ub378\uc744 \ub9de\ucd9c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\n\n#fit cubic regression model\n<\/span>model = np. poly1d<\/span> (np. polyfit<\/span> (df. x<\/span> , df. y<\/span> , 3))<\/span>\n\n#add fitted cubic regression line to scatterplot\n<\/span>polyline = np. linspace<\/span> (1, 60, 50)\nplt. scatter<\/span> (df. x<\/span> , df. y<\/span> )\nplt. plot<\/span> (polyline, model(polyline))\n\n#add axis labels\n<\/span>plt. xlabel<\/span> (' x<\/span> ')\nplt. ylabel<\/span> (' y<\/span> ')\n\n#displayplot\n<\/span>plt. show<\/span> ()<\/strong> <\/pre>\n
\"Python\uc758<\/p>\n
 \ubaa8\ub378 \uacc4\uc218\ub97c \uc778\uc1c4\ud558\uc5ec \uc801\ud569 3\ucc28 \ud68c\uadc0 \ubc29\uc815\uc2dd\uc744 \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 print<\/span> (model)\n\n          3 2\n0.003302x - 0.3214x + 9.832x - 32.01\n<\/strong><\/pre>\n
 \uc801\ud569 3\ucc28 \ud68c\uadc0 \ubc29\uc815\uc2dd\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 y = 0.003302(x) 3<\/sup> \u2013 0.3214(x) 2<\/sup> + 9.832x \u2013 30.01<\/strong><\/span><\/p>\n
 \uc774 \ubc29\uc815\uc2dd\uc744 \uc0ac\uc6a9\ud558\uc5ec x \uac12\uc744 \uae30\ubc18\uc73c\ub85c y\uc758 \uae30\ub300\uac12\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4 x\uac00 30\uc774\uba74 y\uc758 \uc608\uc0c1 \uac12\uc740 64.844\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 y = 0.003302(30) 3<\/sup> \u2013 0.3214(30) 2<\/sup> + 9.832(30) \u2013 30.01 = 64.844<\/span><\/p>\n
 \uc608\uce21 \ubcc0\uc218\ub85c \uc124\uba85\ud560 \uc218 \uc788\ub294 \uc751\ub2f5 \ubcc0\uc218\uc758 \ubd84\uc0b0 \ube44\uc728\uc778 \ubaa8\ub378\uc758 R-\uc81c\uacf1\uc744 \uc5bb\uae30 \uc704\ud574 \uc9e7\uc740 \ud568\uc218\ub97c \uc791\uc131\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #define function to calculate r-squared<\/span>\ndef<\/span> polyfit(x, y, degree):\n    results = {}\n    coeffs = np. polyfit<\/span> (x, y, degree)\n    p = np. poly1d<\/span> (coeffs)\n    #calculate r-squared<\/span>\n    yhat = p(x)\n    ybar = np. sum<\/span> (y)\/len(y)\n    ssreg = np. sum<\/span> ((yhat-ybar) **<\/span> 2)\n    sstot = np. sum<\/span> ((y - ybar) **<\/span> 2)\n    results[' r_squared<\/span> '] = ssreg \/ sstot\n\n    return<\/span> results\n\n#find r-squared of polynomial model with degree = 3\n<\/span>polyfit(df. x<\/span> , df. y<\/span> , 3)\n\n{'r_squared': 0.9632469890057967}\n<\/strong><\/pre>\n
 \uc774 \uc608\uc5d0\uc11c \ubaa8\ub378\uc758 R \uc81c\uacf1\uc740 0.9632<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774\ub294 \ubc18\uc751 \ubcc0\uc218 \ubcc0\ub3d9\uc758 96.32%\uac00 \uc608\uce21 \ubcc0\uc218\uc5d0 \uc758\ud574 \uc124\uba85\ub420 \uc218 \uc788\uc74c\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774 \uac12\uc774 \ub108\ubb34 \ub192\uae30 \ub54c\ubb38\uc5d0 3\ucc28 \ud68c\uadc0 \ubaa8\ub378\uc774 \ub450 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\ub97c \uc798 \uc815\ub7c9\ud654\ud558\uace0 \uc788\uc74c\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 Python\uc5d0\uc11c \ub2e8\uc21c \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a>
 Python\uc5d0\uc11c 2\ucc28 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a>
 Python\uc5d0\uc11c \ub2e4\ud56d\uc2dd \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
3\ucc28 \ud68c\uadc0\ub294 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\uac00 \ube44\uc120\ud615\uc77c \ub54c \uc608\uce21 \ubcc0\uc218\uc640 \ubc18\uc751 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\ub97c \uc218\ub7c9\ud654\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ud68c\uadc0 \uc720\ud615\uc785\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c 3\ucc28 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. \uc608: Python\uc758 3\ucc28 \ud68c\uadc0 \ub450 \uac1c\uc758 \ubcc0\uc218(x \ubc0f y)\ub97c \ud3ec\ud568\ud558\ub294 \ub2e4\uc74c pandas DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. import pandas as pd #createDataFrame df = pd. DataFrame ({‘ x ‘: […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-3918","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPython\uc5d0\uc11c 3\ucc28 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c 3\ucc28 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc81c\uc640 \ud568\uaed8 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ko\/3\u110e\u1161-\u1112\u116c\u1100\u1171-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python\uc5d0\uc11c 3\ucc28 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c 3\ucc28 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc81c\uc640 \ud568\uaed8 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/3\u110e\u1161-\u1112\u116c\u1100\u1171-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-14T18:26:54+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/cubique1.jpg\" \/>\n<meta name=\"author\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ko\/3%e1%84%8e%e1%85%a1-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/\",\"url\":\"https:\/\/statorials.org\/ko\/3%e1%84%8e%e1%85%a1-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/\",\"name\":\"Python\uc5d0\uc11c 3\ucc28 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95 - 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