{"id":827,"date":"2023-07-28T15:02:39","date_gmt":"2023-07-28T15:02:39","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%80%e1%85%a9%e1%86%bc%e1%84%87%e1%85%ae%e1%86%ab%e1%84%89%e1%85%a1%e1%86%ab-%e1%84%92%e1%85%a2%e1%86%bc%e1%84%85%e1%85%a7%e1%86%af\/"},"modified":"2023-07-28T15:02:39","modified_gmt":"2023-07-28T15:02:39","slug":"%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%80%e1%85%a9%e1%86%bc%e1%84%87%e1%85%ae%e1%86%ab%e1%84%89%e1%85%a1%e1%86%ab-%e1%84%92%e1%85%a2%e1%86%bc%e1%84%85%e1%85%a7%e1%86%af","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%80%e1%85%a9%e1%86%bc%e1%84%87%e1%85%ae%e1%86%ab%e1%84%89%e1%85%a1%e1%86%ab-%e1%84%92%e1%85%a2%e1%86%bc%e1%84%85%e1%85%a7%e1%86%af\/","title":{"rendered":"Python\uc5d0\uc11c \uacf5\ubd84\uc0b0 \ud589\ub82c\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\uacf5\ubd84\uc0b0\uc740<\/strong> \ud55c \ubcc0\uc218\uc758 \ubcc0\ud654\uac00 \ub450 \ubc88\uc9f8 \ubcc0\uc218\uc758 \ubcc0\ud654\uc640 \uc5b4\ub5bb\uac8c \uc5f0\uad00\ub418\uc5b4 \uc788\ub294\uc9c0\ub97c \uce21\uc815\ud55c \uac83\uc785\ub2c8\ub2e4. \ubcf4\ub2e4 \uad6c\uccb4\uc801\uc73c\ub85c \ub9d0\ud558\uba74 \ub450 \ubcc0\uc218\uac00 \uc120\ud615\uc801\uc73c\ub85c \uc5f0\uad00\ub418\ub294 \uc815\ub3c4\ub97c \uce21\uc815\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p class=\"has-text-color\"> <span style=\"color: #000000;\"><strong>\uacf5\ubd84\uc0b0 \ud589\ub82c\uc740<\/strong> \ub2e4\uc591\ud55c \ubcc0\uc218 \uac04\uc758 \uacf5\ubd84\uc0b0\uc744 \ub098\ud0c0\ub0b4\ub294 \uc815\uc0ac\uac01 \ud589\ub82c\uc785\ub2c8\ub2e4. \uc774\ub294 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c \ub2e4\uc591\ud55c \ubcc0\uc218\uac00 \uc5b4\ub5bb\uac8c \uad00\ub828\ub418\uc5b4 \uc788\ub294\uc9c0 \uc774\ud574\ud558\ub294 \ub370 \uc720\uc6a9\ud55c \ubc29\ubc95\uc774 \ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p class=\"has-text-color\"> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \uacf5\ubd84\uc0b0 \ud589\ub82c\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Python\uc5d0\uc11c \uacf5\ubd84\uc0b0 \ud589\ub82c\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Python\uc5d0\uc11c \uacf5\ubd84\uc0b0 \ud589\ub82c\uc744 \ub9cc\ub4e4\ub824\uba74 \ub2e4\uc74c \ub2e8\uacc4\ub97c \ub530\ub974\uc138\uc694.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1\ub2e8\uacc4: \ub370\uc774\ud130\uc138\ud2b8\ub97c \ub9cc\ub4ed\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uba3c\uc800 \uc218\ud559, \uacfc\ud559, \uc5ed\uc0ac \ub4f1 \uc138 \uac00\uc9c0 \uacfc\ubaa9\uc5d0\uc11c 10\uba85\uc758 \ud559\uc0dd\uc758 \uc2dc\ud5d8 \uc810\uc218\uac00 \ud3ec\ud568\ub41c \ub370\uc774\ud130\uc138\ud2b8\ub97c \ub9cc\ub4ed\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\nmath = [84, 82, 81, 89, 73, 94, 92, 70, 88, 95]\nscience = [85, 82, 72, 77, 75, 89, 95, 84, 77, 94]\nhistory = [97, 94, 93, 95, 88, 82, 78, 84, 69, 78]\n\ndata = np.array([math, science, history])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>2\ub2e8\uacc4: \uacf5\ubd84\uc0b0 \ud589\ub82c\uc744 \ub9cc\ub4ed\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uc73c\ub85c, numpy <strong>cov()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub300\ud55c \uacf5\ubd84\uc0b0 \ud589\ub82c\uc744 \uc0dd\uc131\ud558\uace0 \ubaa8\uc9d1\ub2e8 \uacf5\ubd84\uc0b0 \ud589\ub82c\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\ub3c4\ub85d <strong>\ud3b8\ud5a5 = True\ub97c<\/strong> \uc9c0\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>np.cov(data, bias= <span style=\"color: #107d3f;\">True<\/span> )\n\narray([[ 64.96, 33.2, -24.44],\n       [33.2, 56.4, -24.1],\n       [-24.44, -24.1, 75.56]])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>3\ub2e8\uacc4: \uacf5\ubd84\uc0b0 \ud589\ub82c\uc744 \ud574\uc11d\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<p class=\"has-text-color\"> <span style=\"color: #000000;\">\ud589\ub82c\uc758 \ub300\uac01\uc120\uc5d0 \uc788\ub294 \uac12\uc740 \ub2e8\uc21c\ud788 \uac01 \uac1c\uccb4\uc758 \ubd84\uc0b0\uc785\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4:<\/span><\/p>\n<ul class=\"has-text-color\">\n<li> <span style=\"color: #000000;\">\uc218\ud559 \uc810\uc218\uc758 \ubd84\uc0b0\uc740 64.96\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uacfc\ud559 \uc810\uc218\uc758 \ubd84\uc0b0\uc740 56.4\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uacfc\uac70 \uc810\uc218 \ucc28\uc774\ub294 75.56\uc785\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p class=\"has-text-color\"> <span style=\"color: #000000;\">\ud589\ub82c\uc758 \ub2e4\ub978 \uac12\uc740 \uc11c\ub85c \ub2e4\ub978 \ub300\uc0c1 \uac04\uc758 \uacf5\ubd84\uc0b0\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4:<\/span><\/p>\n<ul class=\"has-text-color\">\n<li> <span style=\"color: #000000;\">\uc218\ud559\uacfc \uacfc\ud559 \uc810\uc218\uc758 \uacf5\ubd84\uc0b0\uc740 33.2\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc218\ud559\uacfc \uc5ed\uc0ac \uc810\uc218 \uc0ac\uc774\uc758 \uacf5\ubd84\uc0b0\uc740 -24.44\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uacfc\ud559 \uc810\uc218\uc640 \uc5ed\uc0ac \uc810\uc218 \uc0ac\uc774\uc758 \uacf5\ubd84\uc0b0\uc740 -24.1\uc785\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p class=\"has-text-color\"> <span style=\"color: #000000;\">\uacf5\ubd84\uc0b0\uc758 <strong>\uc591\uc218\ub294<\/strong> \ub450 \ubcc0\uc218\uac00 \ub3d9\uc2dc\uc5d0 \uc99d\uac00\ud558\uac70\ub098 \uac10\uc18c\ud558\ub294 \uacbd\ud5a5\uc774 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc218\ud559\uacfc \uacfc\ud559\uc740 \uc591\uc758 \uacf5\ubd84\uc0b0(33.2)\uc744 \uac00\uc9c0\uba70, \uc774\ub294 \uc218\ud559\uc5d0\uc11c \ub192\uc740 \uc810\uc218\ub97c \ubc1b\uc740 \ud559\uc0dd\uc774 \uacfc\ud559\uc5d0\uc11c\ub3c4 \ub192\uc740 \uc810\uc218\ub97c \ubc1b\ub294 \uacbd\ud5a5\uc774 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \ubc18\ub300\ub85c \uc218\ud559 \uc131\uc801\uc774 \uc88b\uc9c0 \uc54a\uc740 \ud559\uc0dd\uc740 \uacfc\ud559 \uc131\uc801\ub3c4 \uc88b\uc9c0 \uc54a\uc740 \uacbd\ud5a5\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p class=\"has-text-color\"> <span style=\"color: #000000;\">\uacf5\ubd84\uc0b0\uc758 <strong>\uc74c\uc218\ub294<\/strong> \ud55c \ubcc0\uc218\uac00 \uc99d\uac00\ud558\uba74 \ub450 \ubc88\uc9f8 \ubcc0\uc218\uac00 \uac10\uc18c\ud558\ub294 \uacbd\ud5a5\uc774 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc218\ud559\uacfc \uc5ed\uc0ac\ub294 \uc74c\uc758 \uacf5\ubd84\uc0b0(-24.44)\uc744 \uac00\uc9c0\uba70, \uc774\ub294 \uc218\ud559\uc5d0\uc11c \ub192\uc740 \uc810\uc218\ub97c \ubc1b\uc740 \ud559\uc0dd\uc774 \uc5ed\uc0ac\uc5d0\uc11c \ub0ae\uc740 \uc810\uc218\ub97c \ubc1b\ub294 \uacbd\ud5a5\uc774 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \ubc18\ub300\ub85c, \uc218\ud559\uc5d0\uc11c \ub0ae\uc740 \uc810\uc218\ub97c \ubc1b\uc740 \ud559\uc0dd\ub4e4\uc740 \uc5ed\uc0ac\uc5d0\uc11c \ub192\uc740 \uc810\uc218\ub97c \ubc1b\ub294 \uacbd\ud5a5\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>4\ub2e8\uacc4: \uacf5\ubd84\uc0b0 \ud589\ub82c\uc744 \uc2dc\uac01\ud654\ud569\ub2c8\ub2e4(\uc120\ud0dd \uc0ac\ud56d).<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">seaborn \ud328\ud0a4\uc9c0\uc758 <strong>heatmap()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uacf5\ubd84\uc0b0 \ud589\ub82c\uc744 \uc2dc\uac01\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> seaborn <span style=\"color: #107d3f;\">as<\/span> sns\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\ncov = np.cov(data, bias=True)\nlabs = ['math', 'science', 'history']\n\nsns.heatmap(cov, annot=True, fmt='g', xticklabels=labs, yticklabels=labs)\nplt.show()\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9191 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/covariancematrixpython2.png\" alt=\"Python\uc758 \uacf5\ubd84\uc0b0 \ud589\ub82c\" width=\"384\" height=\"274\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>cmap<\/strong> \uc778\uc218\ub97c \uc9c0\uc815\ud558\uc5ec \uc0c9\uc0c1 \ud314\ub808\ud2b8\ub97c \ubcc0\uacbd\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>sns.heatmap(cov, annot=True, fmt='g', xticklabels=labs, yticklabels=labs, cmap=' <span style=\"color: #800080;\">YlGnBu<\/span> ')\nplt.show()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9192 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/covariancematrixpython3.png\" alt=\"Python\uc758 \uacf5\ubd84\uc0b0 \ud589\ub82c\" width=\"398\" height=\"274\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><em>\uc774 \ud788\ud2b8\ub9f5\uc758 \uc2a4\ud0c0\uc77c\uc744 \uc9c0\uc815\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \ub0b4\uc6a9\uc740 <a href=\"https:\/\/seaborn.pydata.org\/generated\/seaborn.heatmap.html\" target=\"_blank\" rel=\"noopener\">seaborn \uc124\uba85\uc11c\ub97c<\/a> \ucc38\uc870\ud558\uc138\uc694.<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uacf5\ubd84\uc0b0\uc740 \ud55c \ubcc0\uc218\uc758 \ubcc0\ud654\uac00 \ub450 \ubc88\uc9f8 \ubcc0\uc218\uc758 \ubcc0\ud654\uc640 \uc5b4\ub5bb\uac8c \uc5f0\uad00\ub418\uc5b4 \uc788\ub294\uc9c0\ub97c \uce21\uc815\ud55c \uac83\uc785\ub2c8\ub2e4. \ubcf4\ub2e4 \uad6c\uccb4\uc801\uc73c\ub85c \ub9d0\ud558\uba74 \ub450 \ubcc0\uc218\uac00 \uc120\ud615\uc801\uc73c\ub85c \uc5f0\uad00\ub418\ub294 \uc815\ub3c4\ub97c \uce21\uc815\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. \uacf5\ubd84\uc0b0 \ud589\ub82c\uc740 \ub2e4\uc591\ud55c \ubcc0\uc218 \uac04\uc758 \uacf5\ubd84\uc0b0\uc744 \ub098\ud0c0\ub0b4\ub294 \uc815\uc0ac\uac01 \ud589\ub82c\uc785\ub2c8\ub2e4. \uc774\ub294 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c \ub2e4\uc591\ud55c \ubcc0\uc218\uac00 \uc5b4\ub5bb\uac8c \uad00\ub828\ub418\uc5b4 \uc788\ub294\uc9c0 \uc774\ud574\ud558\ub294 \ub370 \uc720\uc6a9\ud55c \ubc29\ubc95\uc774 \ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \uacf5\ubd84\uc0b0 \ud589\ub82c\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. 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