{"id":1655,"date":"2023-07-25T12:06:20","date_gmt":"2023-07-25T12:06:20","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%86%e1%85%a2%e1%86%ab%e1%84%92%e1%85%a2%e1%84%90%e1%85%b3%e1%86%ab-%e1%84%8b%e1%85%af%e1%86%ab%e1%84%80%e1%85%a7%e1%86%a8-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/"},"modified":"2023-07-25T12:06:20","modified_gmt":"2023-07-25T12:06:20","slug":"%e1%84%86%e1%85%a2%e1%86%ab%e1%84%92%e1%85%a2%e1%84%90%e1%85%b3%e1%86%ab-%e1%84%8b%e1%85%af%e1%86%ab%e1%84%80%e1%85%a7%e1%86%a8-%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%86%e1%85%a2%e1%86%ab%e1%84%92%e1%85%a2%e1%84%90%e1%85%b3%e1%86%ab-%e1%84%8b%e1%85%af%e1%86%ab%e1%84%80%e1%85%a7%e1%86%a8-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/","title":{"rendered":"Python\uc73c\ub85c \ub9e8\ud574\ud2bc \uac70\ub9ac\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub450 \ubca1\ud130 <em>A<\/em> \uc640 <em>B<\/em> \uc0ac\uc774\uc758 <strong>\ub9e8\ud574\ud2bc \uac70\ub9ac\ub294<\/strong> \ub2e4\uc74c\uacfc \uac19\uc774 \uacc4\uc0b0\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u03a3|A <sub>i<\/sub> \u2013 B <sub>i<\/sub> |<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc5ec\uae30\uc11c <em>i<\/em> \ub294 \uac01 \ubca1\ud130\uc758 i <sup>\ubc88\uc9f8<\/sup> \uc694\uc18c\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \uac70\ub9ac\ub294 \ub450 \ubca1\ud130 \uac04\uc758 \ucc28\uc774\uc810\uc744 \uce21\uc815\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\uba70 \ub9ce\uc740 <a href=\"https:\/\/statorials.org\/ko\/\u1110\u1169\u11bc\u1100\u1168\u1112\u1161\u11a8\u110b\u1173\u11ab-\u1100\u1161\u11ab\u1103\u1161\u11ab\u1112\u1161\u1100\u1169-\u110c\u1175\u11a8\u110c\u1165\u11b8\u110c\u1165\u11a8\u110b\u1175\u11ab-\u1107\u1161\u11bc\u1107\u1165\u11b8\u110b\u1173\u1105\u1169-\u1100\u1162\u1102\u1167\u11b7\u110b\u1173\u11af-\u1109\u1165\u11af\u1106\u1167\u11bc\u1112\u1161\u1106\u1173\u1105\u1169-\u1110\u1169\u11bc\u1100\u1168\u1105\u1173\u11af-\u1103\u1165-\u1109\u1171\u11b8\u1100\u1166-\u1107\u1162\u110b\u116e\u11af-\u1109\u116e-\u110b\u1175\u11bb\u1109\u1173\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener noreferrer\">\uae30\uacc4 \ud559\uc2b5 \uc54c\uace0\ub9ac\uc998<\/a> \uc5d0\uc11c \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub450 \ubca1\ud130 \uc0ac\uc774\uc758 \ub9e8\ud574\ud2bc \uac70\ub9ac\ub97c \uacc4\uc0b0\ud558\ub294 \ub450 \uac00\uc9c0 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 1: \uc0ac\uc6a9\uc790 \uc815\uc758 \ud568\uc218 \uc791\uc131<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 Python\uc5d0\uc11c \ub450 \ubca1\ud130 \uc0ac\uc774\uc758 \ub9e8\ud574\ud2bc \uac70\ub9ac\ub97c \uacc4\uc0b0\ud558\ub294 \uc0ac\uc6a9\uc790 \uc815\uc758 \ud568\uc218\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> math <span style=\"color: #008000;\">import<\/span> sqrt\n\n<span style=\"color: #008080;\">#create function to calculate Manhattan distance<\/span> \n<span style=\"color: #008000;\">def<\/span> manhattan(a, b):\n    <span style=\"color: #008000;\">return<\/span> <span style=\"color: #3366ff;\">sum<\/span> ( <span style=\"color: #3366ff;\">abs<\/span> (val1-val2) <span style=\"color: #008000;\">for<\/span> val1, val2 <span style=\"color: #008000;\">in<\/span> <span style=\"color: #3366ff;\">zip<\/span> (a,b))\n \n<span style=\"color: #008080;\">#definevectors\n<\/span>A = [2, 4, 4, 6]\nB = [5, 5, 7, 8]\n\n<span style=\"color: #008080;\">#calculate Manhattan distance between vectors\n<\/span>manhattan(A,B)\n\n9<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \ub450 \ubca1\ud130 \uc0ac\uc774\uc758 \ub9e8\ud574\ud2bc \uac70\ub9ac\ub294 <strong>9<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub9e8\ud574\ud2bc\uae4c\uc9c0\uc758 \uac70\ub9ac\ub97c \uc190\uc73c\ub85c \ube60\ub974\uac8c \uacc4\uc0b0\ud558\uc5ec \uc774\uac83\uc774 \uc62c\ubc14\ub978\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u03a3|A <sub>i<\/sub> \u2013 B <sub>i<\/sub> | = |2-5| + |4-5| + |4-7| + |6-8| = 3 + 1 + 3 + 2 = <strong>9<\/strong> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 2: cityblock() \ud568\uc218 \uc0ac\uc6a9<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub450 \ubca1\ud130 \uc0ac\uc774\uc758 \ub9e8\ud574\ud2bc \uac70\ub9ac\ub97c \uacc4\uc0b0\ud558\ub294 \ub610 \ub2e4\ub978 \ubc29\ubc95\uc740 SciPy \ud328\ud0a4\uc9c0\uc758 <a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.spatial.distance.cityblock.html\" target=\"_blank\" rel=\"noopener\">cityblock()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">spatial<\/span> . <span style=\"color: #3366ff;\">distance<\/span> <span style=\"color: #008000;\">import<\/span> cityblock\n\n<span style=\"color: #008080;\">#definevectors\n<\/span>A = [2, 4, 4, 6]\nB = [5, 5, 7, 8]\n\n<span style=\"color: #008080;\">#calculate Manhattan distance between vectors\n<\/span>cityblock(A, B)\n\n9<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc2dc \ud55c\ubc88, \uc774 \ub450 \ubca1\ud130 \uc0ac\uc774\uc758 \ub9e8\ud574\ud2bc \uac70\ub9ac\ub294 <strong>9<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \ub450 \uc5f4 \uc0ac\uc774\uc758 \ub9e8\ud574\ud2bc \uac70\ub9ac\ub97c \ucc3e\uc744 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">spatial<\/span> . <span style=\"color: #3366ff;\">distance<\/span> <span style=\"color: #008000;\">import<\/span> cityblock\n<span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">A<\/span> ': [2, 4, 4, 6],\n                   ' <span style=\"color: #ff0000;\">B<\/span> ': [5, 5, 7, 8],\n                   ' <span style=\"color: #ff0000;\">C<\/span> ': [9, 12, 12, 13]})\n\n<span style=\"color: #008080;\">#calculate Manhattan distance between columns A and B<\/span>\ncityblock(df. <span style=\"color: #3366ff;\">A<\/span> , df. <span style=\"color: #3366ff;\">B<\/span> )\n\n9<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u110b\u1172\u110f\u1173\u11af\u1105\u1175\u1103\u1173-\u1100\u1165\u1105\u1175-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" target=\"_blank\" rel=\"noopener\">Python\uc5d0\uc11c \uc720\ud074\ub9ac\ub4dc \uac70\ub9ac\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab-\u1112\u1162\u1106\u1175\u11bc-\u1100\u1165\u1105\u1175\/\" target=\"_blank\" rel=\"noopener\">Python\uc5d0\uc11c \ud574\ubc0d \uac70\ub9ac\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\u110b\u1166\u1109\u1165\u110b\u1174-\u1105\u1166\u1107\u1166\u11ab\u1109\u1172\u1110\u1161\u110b\u1175\u11ab-\u1100\u1165\u1105\u1175\/\" target=\"_blank\" rel=\"noopener\">Python\uc5d0\uc11c Levenshtein \uac70\ub9ac\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/mahalanobis-\u110b\u116f\u11ab\u1100\u1167\u11a8-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" target=\"_blank\" rel=\"noopener\">Python\uc5d0\uc11c Mahalanobis \uac70\ub9ac\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub450 \ubca1\ud130 A \uc640 B \uc0ac\uc774\uc758 \ub9e8\ud574\ud2bc \uac70\ub9ac\ub294 \ub2e4\uc74c\uacfc \uac19\uc774 \uacc4\uc0b0\ub429\ub2c8\ub2e4. \u03a3|A i \u2013 B i | \uc5ec\uae30\uc11c i \ub294 \uac01 \ubca1\ud130\uc758 i \ubc88\uc9f8 \uc694\uc18c\uc785\ub2c8\ub2e4. \uc774 \uac70\ub9ac\ub294 \ub450 \ubca1\ud130 \uac04\uc758 \ucc28\uc774\uc810\uc744 \uce21\uc815\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\uba70 \ub9ce\uc740 \uae30\uacc4 \ud559\uc2b5 \uc54c\uace0\ub9ac\uc998 \uc5d0\uc11c \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub450 \ubca1\ud130 \uc0ac\uc774\uc758 \ub9e8\ud574\ud2bc \uac70\ub9ac\ub97c \uacc4\uc0b0\ud558\ub294 \ub450 \uac00\uc9c0 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \ubc29\ubc95 [&hellip;]<\/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-1655","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python\uc73c\ub85c \ub9e8\ud574\ud2bc \uac70\ub9ac\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Python\uc5d0\uc11c \ub450 \ubca1\ud130 \uc0ac\uc774\uc758 \ub9e8\ud574\ud2bc \uac70\ub9ac\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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