{"id":1648,"date":"2023-07-25T12:44:47","date_gmt":"2023-07-25T12:44:47","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%85%e1%85%a9%e1%84%80%e1%85%b3-%e1%84%85%e1%85%a9%e1%84%80%e1%85%b3-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/"},"modified":"2023-07-25T12:44:47","modified_gmt":"2023-07-25T12:44:47","slug":"%e1%84%85%e1%85%a9%e1%84%80%e1%85%b3-%e1%84%85%e1%85%a9%e1%84%80%e1%85%b3-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%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\/%e1%84%85%e1%85%a9%e1%84%80%e1%85%b3-%e1%84%85%e1%85%a9%e1%84%80%e1%85%b3-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%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 \ub85c\uadf8-\ub85c\uadf8 \ud50c\ub86f\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\ub85c\uadf8-\ub85c\uadf8 \ud50c\ub86f\uc740<\/strong> x\ucd95\uacfc y\ucd95 \ubaa8\ub450\uc5d0 \ub85c\uadf8 \uc2a4\ucf00\uc77c\uc744 \uc0ac\uc6a9\ud558\ub294 \ud50c\ub86f\uc785\ub2c8\ub2e4.<\/span><\/p>\n

\uc774\ub7ec\ud55c \uc720\ud615\uc758 \ud50c\ub86f\uc740 \ub450 \ubcc0\uc218 \uac04\uc758 \uc2e4\uc81c \uad00\uacc4\uac00 \uc77c\uc885\uc758 \uac70\ub4ed\uc81c\uacf1 \ubc95\uce59\uc744 \ub530\ub974\ub294 \uacbd\uc6b0 \ub450 \ubcc0\uc218\ub97c \uc2dc\uac01\ud654\ud558\ub294 \ub370 \uc720\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub85c\uadf8-\ub85c\uadf8 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n

Python\uc5d0\uc11c \ub85c\uadf8-\ub85c\uadf8 \ud50c\ub86f\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n

\ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\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> ': [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,\n                         14, 15, 16, 17, 18, 19, 20, 21, 22],\n                   ' y<\/span> ': [3, 4, 5, 7, 9, 13, 15, 19, 23, 24, 29,\n                         38, 40, 50, 56, 59, 70, 89, 104, 130]})\n\n#create scatterplot\n<\/span>plt. scatter<\/span> (df. x<\/span> , df. y<\/span> )\n<\/strong><\/pre>\n
\"\"<\/p>\n
 x<\/em> \uc640 y<\/em> \uc0ac\uc774\uc758 \uad00\uacc4\ub294 \uac70\ub4ed\uc81c\uacf1 \ubc95\uce59\uc744 \ub530\ub978\ub2e4\ub294 \uac83\uc774 \ubd84\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 numpy.log()\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \ub450 \ubcc0\uc218\uc5d0 \ub300\ud55c \ub85c\uadf8 \ubcc0\ud658\uc744 \uc218\ud589\ud558\uace0 \ub85c\uadf8-\ub85c\uadf8 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\uc5ec \uc774\ub4e4 \uc0ac\uc774\uc758 \uad00\uacc4\ub97c \uc2dc\uac01\ud654\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np<\/span>\n\n#perform log transformation on both x and y\n<\/span>xlog = np. log<\/span> ( df.x<\/span> )\nylog = np. log<\/span> ( df.y<\/span> )\n\n#create log-log plot\n<\/span>plt. scatter<\/span> (xlog, ylog)\n<\/strong><\/pre>\n
\"\"<\/p>\n
 x\ucd95\uc740 x\uc758 \ub85c\uadf8\ub97c \ud45c\uc2dc\ud558\uace0 y\ucd95\uc740 y\uc758 \ub85c\uadf8\ub97c \ud45c\uc2dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 log(x)\uc640 log(y) \uc0ac\uc774\uc758 \uad00\uacc4\uac00 \uc774\uc804 \ud50c\ub86f\uc5d0 \ube44\ud574 \uc5bc\ub9c8\ub098 \uc120\ud615\uc801\uc778\uc9c0 \ud655\uc778\ud558\uc138\uc694.<\/span><\/p>\n
 \ud50c\ub86f\uc744 \ub354 \uc27d\uac8c \ud574\uc11d\ud560 \uc218 \uc788\ub3c4\ub85d \uc81c\ubaa9\uacfc \ucd95 \ub808\uc774\ube14\uc744 \uc790\uc720\ub86d\uac8c \ucd94\uac00\ud558\uc138\uc694.<\/span> <\/p>\n
 #create log-log plot with labels\nplt. scatter<\/span> (xlog, ylog, color=' purple<\/span> ')\nplt. xlabel<\/span> (' Log(x)<\/span> ')\nplt. ylabel<\/span> (' Log(y)<\/span> ')\nplt. title<\/span> (' Log-Log Plot<\/span> ')<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 \ub610\ud55c \ub2e4\uc74c\uacfc \uac19\uc774 plt.plot()\uc744<\/strong> \uc0ac\uc6a9\ud558\uc5ec \uc0b0\uc810\ub3c4 \ub300\uc2e0 \uc120 \ud50c\ub86f\uc744 \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 #create log-log line plot\nplt. plot<\/span> (xlog, ylog, color=' purple<\/span> ')\nplt. xlabel<\/span> (' Log(x)<\/span> ')\nplt. ylabel<\/span> (' Log(y)<\/span> ')\nplt. title<\/span> (' Log-Log Plot<\/span> ')<\/span><\/span><\/strong> <\/pre>\n
\"Python\uc758<\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 R\uc5d0\uc11c \ub85c\uadf8-\ub85c\uadf8 \ud50c\ub86f\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a>
 Excel\uc5d0\uc11c \ub85c\uadf8-\ub85c\uadf8 \ud50c\ub86f\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub85c\uadf8-\ub85c\uadf8 \ud50c\ub86f\uc740 x\ucd95\uacfc y\ucd95 \ubaa8\ub450\uc5d0 \ub85c\uadf8 \uc2a4\ucf00\uc77c\uc744 \uc0ac\uc6a9\ud558\ub294 \ud50c\ub86f\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc720\ud615\uc758 \ud50c\ub86f\uc740 \ub450 \ubcc0\uc218 \uac04\uc758 \uc2e4\uc81c \uad00\uacc4\uac00 \uc77c\uc885\uc758 \uac70\ub4ed\uc81c\uacf1 \ubc95\uce59\uc744 \ub530\ub974\ub294 \uacbd\uc6b0 \ub450 \ubcc0\uc218\ub97c \uc2dc\uac01\ud654\ud558\ub294 \ub370 \uc720\uc6a9\ud569\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub85c\uadf8-\ub85c\uadf8 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. Python\uc5d0\uc11c \ub85c\uadf8-\ub85c\uadf8 \ud50c\ub86f\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95 \ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. import pandas as pd import matplotlib. pyplot as plt […]<\/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-1648","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPython\uc5d0\uc11c \ub85c\uadf8-\ub85c\uadf8 \ud50c\ub86f\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Python\uc5d0\uc11c \ub85c\uadf8-\ub85c\uadf8 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" 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