{"id":1173,"date":"2023-07-27T09:59:19","date_gmt":"2023-07-27T09:59:19","guid":{"rendered":"https:\/\/statorials.org\/th\/%e0%b9%80%e0%b8%9b%e0%b8%ad%e0%b8%a3%e0%b9%8c%e0%b9%80%e0%b8%8b%e0%b9%87%e0%b8%99%e0%b9%84%e0%b8%97%e0%b8%a5%e0%b9%8c%e0%b9%83%e0%b8%99%e0%b8%ab%e0%b8%a5%e0%b8%b2%e0%b8%a1\/"},"modified":"2023-07-27T09:59:19","modified_gmt":"2023-07-27T09:59:19","slug":"%e0%b9%80%e0%b8%9b%e0%b8%ad%e0%b8%a3%e0%b9%8c%e0%b9%80%e0%b8%8b%e0%b9%87%e0%b8%99%e0%b9%84%e0%b8%97%e0%b8%a5%e0%b9%8c%e0%b9%83%e0%b8%99%e0%b8%ab%e0%b8%a5%e0%b8%b2%e0%b8%a1","status":"publish","type":"post","link":"https:\/\/statorials.org\/th\/%e0%b9%80%e0%b8%9b%e0%b8%ad%e0%b8%a3%e0%b9%8c%e0%b9%80%e0%b8%8b%e0%b9%87%e0%b8%99%e0%b9%84%e0%b8%97%e0%b8%a5%e0%b9%8c%e0%b9%83%e0%b8%99%e0%b8%ab%e0%b8%a5%e0%b8%b2%e0%b8%a1\/","title":{"rendered":"\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e04\u0e33\u0e19\u0e27\u0e13\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e44\u0e17\u0e25\u0e4c\u0e43\u0e19 python: \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e44\u0e17\u0e25\u0e4c<\/strong> <sup>\u0e17\u0e35\u0e48 n<\/sup> \u0e02\u0e2d\u0e07\u0e0a\u0e38\u0e14\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e04\u0e37\u0e2d\u0e04\u0e48\u0e32\u0e17\u0e35\u0e48\u0e15\u0e31\u0e14 <em>n<\/em> \u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e15\u0e4c\u0e1a\u0e19\u0e2a\u0e38\u0e14\u0e02\u0e2d\u0e07\u0e04\u0e48\u0e32\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e2d\u0e2d\u0e01 \u0e40\u0e21\u0e37\u0e48\u0e2d\u0e04\u0e48\u0e32\u0e17\u0e31\u0e49\u0e07\u0e2b\u0e21\u0e14\u0e08\u0e31\u0e14\u0e40\u0e23\u0e35\u0e22\u0e07\u0e08\u0e32\u0e01\u0e19\u0e49\u0e2d\u0e22\u0e44\u0e1b\u0e2b\u0e32\u0e21\u0e32\u0e01<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e40\u0e0a\u0e48\u0e19 \u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e44\u0e17\u0e25\u0e4c\u0e17\u0e35\u0e48 90 \u0e02\u0e2d\u0e07\u0e0a\u0e38\u0e14\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e04\u0e37\u0e2d\u0e04\u0e48\u0e32\u0e17\u0e35\u0e48\u0e41\u0e22\u0e01\u0e04\u0e48\u0e32\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 90% \u0e25\u0e48\u0e32\u0e07\u0e2a\u0e38\u0e14\u0e2d\u0e2d\u0e01\u0e08\u0e32\u0e01 10% \u0e41\u0e23\u0e01\u0e02\u0e2d\u0e07\u0e04\u0e48\u0e32\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25<\/span><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e04\u0e33\u0e19\u0e27\u0e13\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e15\u0e4c\u0e44\u0e17\u0e25\u0e4c\u0e43\u0e19 Python \u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e23\u0e27\u0e14\u0e40\u0e23\u0e47\u0e27\u0e42\u0e14\u0e22\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.percentile.html\" target=\"_blank\" rel=\"noopener noreferrer\">numpy.percentile()<\/a> \u0e0b\u0e36\u0e48\u0e07\u0e43\u0e0a\u0e49\u0e44\u0e27\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49:<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>numpy.percentile(a, q)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0e17\u0e2d\u0e07:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\u0e01:<\/strong> \u0e15\u0e32\u0e23\u0e32\u0e07\u0e04\u0e48\u0e32<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u0e16\u0e32\u0e21:<\/strong> \u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e15\u0e4c\u0e2b\u0e23\u0e37\u0e2d\u0e25\u0e33\u0e14\u0e31\u0e1a\u0e02\u0e2d\u0e07\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e44\u0e17\u0e25\u0e4c\u0e17\u0e35\u0e48\u0e08\u0e30\u0e04\u0e33\u0e19\u0e27\u0e13 \u0e0b\u0e36\u0e48\u0e07\u0e15\u0e49\u0e2d\u0e07\u0e2d\u0e22\u0e39\u0e48\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07 0 \u0e16\u0e36\u0e07 100<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0e1a\u0e17\u0e0a\u0e48\u0e27\u0e22\u0e2a\u0e2d\u0e19\u0e19\u0e35\u0e49\u0e08\u0e30\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e27\u0e34\u0e18\u0e35\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19\u0e19\u0e35\u0e49\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e04\u0e33\u0e19\u0e27\u0e13\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e15\u0e4c\u0e44\u0e17\u0e25\u0e4c\u0e43\u0e19 Python<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0e27\u0e34\u0e18\u0e35\u0e04\u0e49\u0e19\u0e2b\u0e32\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e15\u0e4c\u0e44\u0e17\u0e25\u0e4c\u0e02\u0e2d\u0e07\u0e15\u0e32\u0e23\u0e32\u0e07<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0e23\u0e2b\u0e31\u0e2a\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e2a\u0e32\u0e18\u0e34\u0e15\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e04\u0e49\u0e19\u0e2b\u0e32\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e15\u0e4c\u0e44\u0e17\u0e25\u0e4c\u0e17\u0e35\u0e48\u0e41\u0e15\u0e01\u0e15\u0e48\u0e32\u0e07\u0e01\u0e31\u0e19\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e2d\u0e32\u0e23\u0e4c\u0e40\u0e23\u0e22\u0e4c\u0e17\u0e35\u0e48\u0e01\u0e33\u0e2b\u0e19\u0e14\u0e43\u0e19 Python:<\/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>\u0e27\u0e34\u0e18\u0e35\u0e04\u0e49\u0e19\u0e2b\u0e32\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e15\u0e4c\u0e44\u0e17\u0e25\u0e4c\u0e02\u0e2d\u0e07\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c DataFrame<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0e23\u0e2b\u0e31\u0e2a\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e04\u0e49\u0e19\u0e2b\u0e32\u0e04\u0e48\u0e32\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e44\u0e17\u0e25\u0e4c\u0e17\u0e35\u0e48 95 \u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c Pandas DataFrame \u0e40\u0e14\u0e35\u0e22\u0e27:<\/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>\u0e27\u0e34\u0e18\u0e35\u0e04\u0e49\u0e19\u0e2b\u0e32\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e15\u0e4c\u0e44\u0e17\u0e25\u0e4c\u0e02\u0e2d\u0e07\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c DataFrame \u0e2b\u0e25\u0e32\u0e22\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0e23\u0e2b\u0e31\u0e2a\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e04\u0e49\u0e19\u0e2b\u0e32\u0e04\u0e48\u0e32\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e44\u0e17\u0e25\u0e4c\u0e17\u0e35\u0e48 95 \u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e2b\u0e25\u0e32\u0e22\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e43\u0e19 DataFrame \u0e02\u0e2d\u0e07\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32:<\/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;\">\u0e42\u0e1b\u0e23\u0e14\u0e17\u0e23\u0e32\u0e1a\u0e27\u0e48\u0e32\u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 pandas <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.quantile.html\" target=\"_blank\" rel=\"noopener noreferrer\">quantile()<\/a> \u0e43\u0e19\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e14\u0e49\u0e32\u0e19\u0e1a\u0e19\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e04\u0e33\u0e19\u0e27\u0e13\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e15\u0e4c\u0e44\u0e17\u0e25\u0e4c\u0e44\u0e14\u0e49<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0e17\u0e35\u0e48\u0e40\u0e01\u0e35\u0e48\u0e22\u0e27\u0e02\u0e49\u0e2d\u0e07:<\/strong> <a href=\"https:\/\/statorials.org\/th\/\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e44\u0e17\u0e25\u0e4c\u0e43\u0e19-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e04\u0e33\u0e19\u0e27\u0e13\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e44\u0e17\u0e25\u0e4c\u0e43\u0e19 R (\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07)<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47\u0e19\u0e44\u0e17\u0e25\u0e4c \u0e17\u0e35\u0e48 n \u0e02\u0e2d\u0e07\u0e0a\u0e38\u0e14\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e04\u0e37\u0e2d\u0e04\u0e48\u0e32\u0e17\u0e35\u0e48\u0e15\u0e31\u0e14 n \u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e40\u0e0b\u0e47 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-1173","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ 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