{"id":1172,"date":"2023-07-27T09:59:19","date_gmt":"2023-07-27T09:59:19","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%8b%e1%85%b4-%e1%84%87%e1%85%a2%e1%86%a8%e1%84%87%e1%85%ae%e1%86%ab%e1%84%8b%e1%85%b1%e1%84%89%e1%85%ae\/"},"modified":"2023-07-27T09:59:19","modified_gmt":"2023-07-27T09:59:19","slug":"%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab%e1%84%8b%e1%85%b4-%e1%84%87%e1%85%a2%e1%86%a8%e1%84%87%e1%85%ae%e1%86%ab%e1%84%8b%e1%85%b1%e1%84%89%e1%85%ae","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%8b%e1%85%b4-%e1%84%87%e1%85%a2%e1%86%a8%e1%84%87%e1%85%ae%e1%86%ab%e1%84%8b%e1%85%b1%e1%84%89%e1%85%ae\/","title":{"rendered":"Python\uc5d0\uc11c \ubc31\ubd84\uc704\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95: \uc608 \ud3ec\ud568"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub370\uc774\ud130 \uc138\ud2b8\uc758 <sup>n\ubc88\uc9f8<\/sup> <strong>\ubc31\ubd84\uc704\uc218<\/strong> \ub294 \ubaa8\ub4e0 \uac12\uc744 \uac00\uc7a5 \uc791\uc740 \uac12\uc5d0\uc11c \uac00\uc7a5 \ud070 \uac12\uc73c\ub85c \uc815\ub82c\ud560 \ub54c \ub370\uc774\ud130 \uac12\uc758 \uc0c1\uc704 <em>n<\/em> %\ub97c \uc798\ub77c\ub0b4\ub294 \uac12\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4, \ub370\uc774\ud130 \uc138\ud2b8\uc758 90\ubc88\uc9f8 \ubc31\ubd84\uc704\uc218\ub294 \ub370\uc774\ud130 \uac12\uc758 \ud558\uc704 90%\uc640 \ub370\uc774\ud130 \uac12\uc758 \uc0c1\uc704 10%\ub97c \uad6c\ubd84\ud558\ub294 \uac12\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.percentile.html\" target=\"_blank\" rel=\"noopener noreferrer\">numpy.percentile()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 Python\uc5d0\uc11c \ubc31\ubd84\uc704\uc218\ub97c \ube60\ub974\uac8c \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>numpy.percentile(a, q)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>a:<\/strong> \uac12 \ud14c\uc774\ube14<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>q:<\/strong> \uacc4\uc0b0\ud560 \ubc31\ubd84\uc704\uc218 \ub610\ub294 \ubc31\ubd84\uc704\uc218 \uc2dc\ud000\uc2a4\ub85c, 0\uc5d0\uc11c 100 \uc0ac\uc774\uc5ec\uc57c \ud569\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ubc31\ubd84\uc704\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ud14c\uc774\ube14\uc758 \ubc31\ubd84\uc704\uc218\ub97c \ucc3e\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 Python\uc5d0\uc11c \ud2b9\uc815 \ubc30\uc5f4\uc5d0 \ub300\ud574 \ub2e4\uc591\ud55c \ubc31\ubd84\uc704\uc218\ub97c \ucc3e\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<\/span>#make this example reproducible\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">seeds<\/span> (0)<\/span>\n\n#create array of 100 random integers distributed between 0 and 500\n<\/span><span style=\"color: #000000;\">data = np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">randint<\/span> (0, 500, 100)\n\n<span style=\"color: #008080;\">#find the 37th percentile of the array<\/span>\nn.p. <span style=\"color: #3366ff;\">percentile<\/span> (data, 37)\n\n173.26\n<\/span>\n<span style=\"color: #008080;\">#Find the quartiles (25th, 50th, and 75th percentiles) of the array\n<\/span>n.p. <span style=\"color: #3366ff;\">percentile<\/span> (data, [25, 50, 75])\n\narray([116.5, 243.5, 371.5])\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>DataFrame \uc5f4\uc758 \ubc31\ubd84\uc704\uc218\ub97c \ucc3e\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ub2e8\uc77c Pandas DataFrame \uc5f4\uc758 95\ubc88\uc9f8 \ubc31\ubd84\uc704\uc218 \uac12\uc744 \ucc3e\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #800080;\"><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np \n<\/span><\/span><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span><span style=\"color: #000000;\">df = pd.DataFrame({'var1': [25, 12, 15, 14, 19, 23, 25, 29, 33, 35],\n                   'var2': [5, 7, 7, 9, 12, 9, 9, 4, 14, 15],\n                   'var3': [11, 8, 10, 6, 6, 5, 9, 12, 13, 16]})<\/span>\n\n<span style=\"color: #008080;\">#find 90th percentile of var1 column\n<\/span><span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">percentile<\/span> (df. <span style=\"color: #3366ff;\">var1<\/span> , 95)\n\n34.1\n<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\uc5ec\ub7ec DataFrame \uc5f4\uc758 \ubc31\ubd84\uc704\uc218\ub97c \ucc3e\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 Pandas DataFrame\uc758 \uc5ec\ub7ec \uc5f4\uc5d0 \ub300\ud55c 95\ubc88\uc9f8 \ubc31\ubd84\uc704\uc218 \uac12\uc744 \ucc3e\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #800080;\"><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np \n<\/span><\/span><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span><span style=\"color: #000000;\">df = pd.DataFrame({'var1': [25, 12, 15, 14, 19, 23, 25, 29, 33, 35],\n                   'var2': [5, 7, 7, 9, 12, 9, 9, 4, 14, 15],\n                   'var3': [11, 8, 10, 6, 6, 5, 9, 12, 13, 16]})<\/span>\n\n<span style=\"color: #008080;\">#find 95th percentile of each column\n<\/span><span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">quantile<\/span> (.95)\n\nvar1 34.10\nvar2 14.55\nvar3 14.65\n\n<span style=\"color: #008080;\">#find 95th percentile of just columns var1 and var2<\/span>\ndf[[' <span style=\"color: #008000;\">var1<\/span> ', ' <span style=\"color: #008000;\">var2<\/span> ']]. <span style=\"color: #3366ff;\">quantile<\/span> (.95)\n\nvar1 34.10\nvar2 14.55<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc704\uc758 \uc608\uc5d0\uc11c\ub294 pandas <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.quantile.html\" target=\"_blank\" rel=\"noopener noreferrer\">quotile()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubc31\ubd84\uc704\uc218\ub97c \uacc4\uc0b0\ud560 \uc218 \uc788\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uad00\ub828 \ud56d\ubaa9:<\/strong> <a href=\"https:\/\/statorials.org\/ko\/\u1107\u1162\u11a8\u1107\u116e\u11ab\u110b\u1171\u1109\u116er\/\" target=\"_blank\" rel=\"noopener noreferrer\">R\uc5d0\uc11c \ubc31\ubd84\uc704\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub370\uc774\ud130 \uc138\ud2b8\uc758 n\ubc88\uc9f8 \ubc31\ubd84\uc704\uc218 \ub294 \ubaa8\ub4e0 \uac12\uc744 \uac00\uc7a5 \uc791\uc740 \uac12\uc5d0\uc11c \uac00\uc7a5 \ud070 \uac12\uc73c\ub85c \uc815\ub82c\ud560 \ub54c \ub370\uc774\ud130 \uac12\uc758 \uc0c1\uc704 n %\ub97c \uc798\ub77c\ub0b4\ub294 \uac12\uc785\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ub370\uc774\ud130 \uc138\ud2b8\uc758 90\ubc88\uc9f8 \ubc31\ubd84\uc704\uc218\ub294 \ub370\uc774\ud130 \uac12\uc758 \ud558\uc704 90%\uc640 \ub370\uc774\ud130 \uac12\uc758 \uc0c1\uc704 10%\ub97c \uad6c\ubd84\ud558\ub294 \uac12\uc785\ub2c8\ub2e4. \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 numpy.percentile() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 Python\uc5d0\uc11c \ubc31\ubd84\uc704\uc218\ub97c \ube60\ub974\uac8c \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. numpy.percentile(a, q) \uae08: a: \uac12 [&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-1172","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\uc5d0\uc11c \ubc31\ubd84\uc704\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Python\uc5d0\uc11c 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