{"id":1647,"date":"2023-07-25T12:50:55","date_gmt":"2023-07-25T12:50:55","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%8f%e1%85%a5%e1%84%87%e1%85%b3-%e1%84%91%e1%85%b5%e1%84%90%e1%85%b5%e1%86%bc\/"},"modified":"2023-07-25T12:50:55","modified_gmt":"2023-07-25T12:50:55","slug":"%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%8f%e1%85%a5%e1%84%87%e1%85%b3-%e1%84%91%e1%85%b5%e1%84%90%e1%85%b5%e1%86%bc","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%8f%e1%85%a5%e1%84%87%e1%85%b3-%e1%84%91%e1%85%b5%e1%84%90%e1%85%b5%e1%86%bc\/","title":{"rendered":"Python\uc758 \uace1\uc120 \ud53c\ud305(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

\n

\uc885\uc885 Python\uc758 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \uace1\uc120\uc744 \ub9de\ucd94\uace0 \uc2f6\uc744 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n

\"\"<\/p>\n

\ub2e4\uc74c \ub2e8\uacc4\ubcc4 \uc608\uc81c \uc5d0\uc11c\ub294 numpy.polyfit()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ub370\uc774\ud130\uc5d0 \uace1\uc120\uc744 \ub9de\ucd94\ub294 \ubc29\ubc95\uacfc \ub370\uc774\ud130\uc5d0 \uac00\uc7a5 \uc801\ud569\ud55c \uace1\uc120\uc744 \uacb0\uc815\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n

1\ub2e8\uacc4: \ub370\uc774\ud130 \uc0dd\uc131 \ubc0f \uc2dc\uac01\ud654<\/strong><\/span><\/h3>\n

\uba3c\uc800 \uac00\uc9dc \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ub9cc\ub4e0 \ub2e4\uc74c \uc0b0\uc810\ub3c4\ub97c \ub9cc\ub4e4\uc5b4 \ub370\uc774\ud130\ub97c \uc2dc\uac01\ud654\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n

 import<\/span> pandas as<\/span> pd\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' x<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15],\n                   ' y<\/span> ': [3, 14, 23, 25, 23, 15, 9, 5, 9, 13, 17, 24, 32, 36, 46]})\n\n#create scatterplot of x vs. y\n<\/span>plt. scatter<\/span> (df. x<\/span> , df. y<\/span> )<\/strong> <\/pre>\n
\"\"<\/p>\n
 2\ub2e8\uacc4: \uc5ec\ub7ec \uace1\uc120 \uc870\uc815<\/strong><\/span><\/h3>\n
 \uadf8\ub7f0 \ub2e4\uc74c \uc5ec\ub7ec \ub2e4\ud56d\uc2dd \ud68c\uadc0 \ubaa8\ub378\uc744 \ub370\uc774\ud130\uc5d0 \ub9de\ucd94\uace0 \ub3d9\uc77c\ud55c \ud50c\ub86f\uc5d0\uc11c \uac01 \ubaa8\ub378\uc758 \uace1\uc120\uc744 \uc2dc\uac01\ud654\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\n\n#fit polynomial models up to degree 5\n<\/span>model1 = np. poly1d<\/span> (np. polyfit<\/span> (df. x<\/span> , df. y<\/span> , 1))\nmodel2 = np. poly1d<\/span> (np. polyfit<\/span> (df. x<\/span> , df. y<\/span> , 2))\nmodel3 = np. poly1d<\/span> (np. polyfit<\/span> (df. x<\/span> , df. y<\/span> , 3))\nmodel4 = np. poly1d<\/span> (np. polyfit<\/span> (df. x<\/span> , df. y<\/span> , 4))\nmodel5 = np. poly1d<\/span> (np. polyfit<\/span> (df. x<\/span> , df. y<\/span> , 5))\n\n#create scatterplot\n<\/span>polyline = np. linspace<\/span> (1, 15, 50)\nplt. scatter<\/span> (df. x<\/span> , df. y<\/span> )\n\n#add fitted polynomial lines to scatterplot \n<\/span>plt. plot<\/span> (polyline, model1(polyline), color=' green<\/span> ')\nplt. plot<\/span> (polyline, model2(polyline), color=' red<\/span> ')\nplt. plot<\/span> (polyline, model3(polyline), color=' purple<\/span> ')\nplt. plot<\/span> (polyline, model4(polyline), color=' blue<\/span> ')\nplt. plot<\/span> (polyline, model5(polyline), color=' orange<\/span> ')\nplt. show<\/span> ()\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 \uc774 \uac12\uc740 \uc608\uce21 \ubcc0\uc218\uc758 \uc218\uc5d0 \ub9de\uac8c \uc870\uc815\ub41c \ubaa8\ub378\uc758 \uc608\uce21 \ubcc0\uc218\ub85c \uc124\uba85\ud560 \uc218 \uc788\ub294 \ubc18\uc751 \ubcc0\uc218\uc758 \ubcc0\ub3d9 \ube44\uc728\uc744 \uc54c\ub824\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #define function to calculate adjusted r-squared\ndef<\/span> adjR(x, y, degree):\n    results = {}\n    coeffs = np. polyfit<\/span> (x, y, degree)\n    p = np. poly1d<\/span> (coeffs)\n    yhat = p(x)\n    ybar = np. sum<\/span> (y)\/len(y)\n    ssreg = np. sum<\/span> ((yhat-ybar)**2)\n    sstot = np. sum<\/span> ((y - ybar)**2)\n    results[' r_squared<\/span> '] = 1- (((1-(ssreg\/sstot))*(len(y)-1))\/(len(y)-degree-1))\n\n    return<\/span> results<\/span>\n\n#calculated adjusted R-squared of each model\n<\/span>adjR(df. x<\/span> , df. y<\/span> , 1)\nadjR(df. x<\/span> , df. y<\/span> , 2)\nadjR(df. x<\/span> , df. y<\/span> , 3)\nadjR(df. x<\/span> , df. y<\/span> , 4)\nadjR(df. x<\/span> , df. y<\/span> , 5)\n\n{'r_squared': 0.3144819}\n{'r_squared': 0.5186706}\n{'r_squared': 0.7842864}\n{'r_squared': 0.9590276}\n{'r_squared': 0.9549709}\n<\/strong><\/pre>\n
 \uacb0\uacfc\uc5d0\uc11c \uc870\uc815\ub41c R-\uc81c\uacf1\uc774 \uac00\uc7a5 \ub192\uc740 \ubaa8\ub378\uc740 \uc870\uc815\ub41c R-\uc81c\uacf1\uc774 0.959<\/strong> \uc778 4\ucc28 \ub2e4\ud56d\uc2dd\uc784\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 3\ub2e8\uacc4: \ucd5c\uc885 \uace1\uc120 \uc2dc\uac01\ud654<\/strong><\/span><\/h3>\n
 \ub9c8\uc9c0\ub9c9\uc73c\ub85c 4\ucc28 \ub2e4\ud56d\uc2dd \ubaa8\ub378\uc758 \uace1\uc120\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc0b0\uc810\ub3c4\ub97c \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 #fit fourth-degree polynomial\n<\/span>model4 = np. poly1d<\/span> (np. polyfit<\/span> (df. x<\/span> , df. y<\/span> , 4))\n\n#define scatterplot\n<\/span>polyline = np. linspace<\/span> (1, 15, 50)\nplt. scatter<\/span> (df. x<\/span> , df. y<\/span> )\n\n#add fitted polynomial curve to scatterplot\n<\/span>plt. plot<\/span> (polyline, model4(polyline), ' --<\/span> ', color=' red<\/span> ')\nplt. show<\/span> ()\n<\/strong><\/pre>\n
\"\"<\/p>\n
 print()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774 \uc904\uc5d0 \ub300\ud55c \ubc29\uc815\uc2dd\uc744 \uc5bb\uc744 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 print<\/span> (model4)\n\n          4 3 2\n-0.01924x + 0.7081x - 8.365x + 35.82x - 26.52\n<\/strong><\/pre>\n
 \uace1\uc120\uc758 \ubc29\uc815\uc2dd\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 y = -0.01924x 4<\/sup> + 0.7081x 3<\/sup> \u2013 8.365x 2<\/sup> + 35.82x \u2013 26.52<\/span><\/p>\n
 \uc774 \ubc29\uc815\uc2dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc758 \uc608\uce21 \ubcc0\uc218\ub97c \uae30\ubc18\uc73c\ub85c \uc751\ub2f5 \ubcc0\uc218<\/a> \uc758 \uac12\uc744 \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 x<\/em> = 4\uc774\uba74 y<\/em> = 23.32<\/strong> \ub77c\uace0 \uc608\uce21\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 y = -0.0192(4) 4<\/sup> + 0.7081(4) 3<\/sup> \u2013 8.365(4) 2<\/sup> + 35.82(4) \u2013 26.52 = 23.32<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 \ub2e4\ud56d\uc2dd \ud68c\uadc0 \uc18c\uac1c
<\/a> Python\uc5d0\uc11c \ub2e4\ud56d\uc2dd \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc885\uc885 Python\uc758 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \uace1\uc120\uc744 \ub9de\ucd94\uace0 \uc2f6\uc744 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \ub2e8\uacc4\ubcc4 \uc608\uc81c \uc5d0\uc11c\ub294 numpy.polyfit() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ub370\uc774\ud130\uc5d0 \uace1\uc120\uc744 \ub9de\ucd94\ub294 \ubc29\ubc95\uacfc \ub370\uc774\ud130\uc5d0 \uac00\uc7a5 \uc801\ud569\ud55c \uace1\uc120\uc744 \uacb0\uc815\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. 1\ub2e8\uacc4: \ub370\uc774\ud130 \uc0dd\uc131 \ubc0f \uc2dc\uac01\ud654 \uba3c\uc800 \uac00\uc9dc \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ub9cc\ub4e0 \ub2e4\uc74c \uc0b0\uc810\ub3c4\ub97c \ub9cc\ub4e4\uc5b4 \ub370\uc774\ud130\ub97c \uc2dc\uac01\ud654\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. import pandas as pd import matplotlib. pyplot as plt #createDataFrame df […]<\/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-1647","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPython\uc758 \uace1\uc120 \ud53c\ud305(\uc608\uc81c \ud3ec\ud568) - 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