{"id":2338,"date":"2023-07-22T17:02:44","date_gmt":"2023-07-22T17:02:44","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e3%83%ad%e3%83%bc%e3%83%aa%e3%83%b3%e3%82%af%e3%82%99%e4%b8%ad%e5%a4%ae%e5%80%a4\/"},"modified":"2023-07-22T17:02:44","modified_gmt":"2023-07-22T17:02:44","slug":"%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e3%83%ad%e3%83%bc%e3%83%aa%e3%83%b3%e3%82%af%e3%82%99%e4%b8%ad%e5%a4%ae%e5%80%a4","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e3%83%ad%e3%83%bc%e3%83%aa%e3%83%b3%e3%82%af%e3%82%99%e4%b8%ad%e5%a4%ae%e5%80%a4\/","title":{"rendered":"Pandas \u3067\u79fb\u52d5\u4e2d\u592e\u5024\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5: \u4f8b\u4ed8\u304d"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u30ed\u30fc\u30ea\u30f3\u30b0\u4e2d\u592e\u5024<\/strong>\u306f\u3001\u6642\u7cfb\u5217\u5185\u306e\u4ee5\u524d\u306e\u671f\u9593\u306e\u6570\u306e\u4e2d\u592e\u5024\u3067\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">pandas DataFrame \u306e\u5217\u306e\u30ed\u30fc\u30ea\u30f3\u30b0\u4e2d\u592e\u5024\u3092\u8a08\u7b97\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate rolling median of previous 3 periods<\/span>\ndf[' <span style=\"color: #ff0000;\">column_name<\/span> ']. <span style=\"color: #3366ff;\">rolling<\/span> (3). <span style=\"color: #3366ff;\">median<\/span> ()\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u95a2\u6570\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b: \u5217\u306e\u79fb\u52d5\u4e2d\u592e\u5024\u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span><span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">month<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12],\n                   ' <span style=\"color: #ff0000;\">leads<\/span> ': [13, 15, 16, 15, 17, 20, 22, 24, 25, 26, 23, 24],\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [22, 24, 23, 27, 26, 26, 27, 30, 33, 32, 27, 25]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tmonth sales leads\n0 1 13 22\n1 2 15 24\n2 3 16 23\n3 4 15 27\n4 5 17 26\n5 6 20 26\n6 7 22 27\n7 8 24 30\n8 9 25 33\n9 10 26 32\n10 11 23 27\n11 12 24 25\n<\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001\u904e\u53bb 3 \u671f\u9593\u306e\u300c\u58f2\u4e0a\u9ad8\u300d\u306e\u79fb\u52d5\u4e2d\u592e\u5024\u3092\u542b\u3080\u65b0\u3057\u3044\u5217\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 3-month rolling median\n<\/span>df[' <span style=\"color: #ff0000;\">sales_rolling3<\/span> '] = df[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">rolling<\/span> (3). <span style=\"color: #3366ff;\">median<\/span> ()\n\n<span style=\"color: #008080;\">#view updated data frame\n<\/span>df\n\n\tmonth leads sales sales_rolling3\n0 1 13 22 NaN\n1 2 15 24 NaN\n2 3 16 23 23.0\n3 4 15 27 24.0\n4 5 17 26 26.0\n5 6 20 26 26.0\n6 7 22 27 26.0\n7 8 24 30 27.0\n8 9 25 33 30.0\n9 10 26 32 32.0\n10 11 23 27 32.0\n11 12 24 25 27.0<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">3 \u304b\u6708\u76ee\u306b\u8868\u793a\u3055\u308c\u308b\u58f2\u4e0a\u9ad8\u306e\u30ed\u30fc\u30ea\u30f3\u30b0\u4e2d\u592e\u5024\u304c\u904e\u53bb 3 \u304b\u6708\u306e\u4e2d\u592e\u5024\u3067\u3042\u308b\u3053\u3068\u3092\u624b\u52d5\u3067\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">22\u300124\u300123 \u306e\u4e2d\u592e\u5024 = <strong>23.0<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u540c\u69d8\u306b\u3001\u6708 4 \u306e\u58f2\u4e0a\u9ad8\u306e\u30ed\u30fc\u30ea\u30f3\u30b0\u4e2d\u592e\u5024\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">24\u300123\u300127 \u306e\u4e2d\u592e\u5024 = <strong>24.0<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u540c\u69d8\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u30016 \u304b\u6708\u306e\u79fb\u52d5\u4e2d\u592e\u5024\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 6-month rolling median\n<span style=\"color: #000000;\">df['<\/span> <span style=\"color: #ff0000;\">sales_rolling6<\/span> <span style=\"color: #000000;\">'] = df['<\/span> <span style=\"color: #ff0000;\">sales<\/span> <span style=\"color: #000000;\">'].<\/span> <span style=\"color: #3366ff;\">rolling<\/span> <span style=\"color: #000000;\">(6).<\/span> <span style=\"color: #3366ff;\">median<\/span> <span style=\"color: #000000;\">()<\/span><\/span>\n\n<span style=\"color: #008080;\">#view updated data frame\n<\/span>df\n\nmonth leads sales sales_rolling3 sales_rolling6\n0 1 13 22 NaN NaN\n1 2 15 24 NaN NaN\n2 3 16 23 23.0 NaN\n3 4 15 27 24.0 NaN\n4 5 17 26 26.0 NaN\n5 6 20 26 26.0 25.0\n6 7 22 27 26.0 26.0\n7 8 24 30 27.0 26.5\n8 9 25 33 30.0 27.0\n9 10 26 32 32.0 28.5\n10 11 23 27 32.0 28.5\n11 12 24 25 27.0 28.5\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u30d1\u30f3\u30c0\u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u64cd\u4f5c\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/\u90aa\u60aa\u306a\u30ed\u30fc\u30ea\u30f3\u30af\u3099\u30cf\u309a\u30f3\u30bf\u3099\/\" target=\"_blank\" rel=\"noopener\">Pandas \u3067\u79fb\u52d5\u5e73\u5747\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u76f8\u95a2\u30d8\u3099\u30a2\u30ea\u30f3\u30af\u3099\/\" target=\"_blank\" rel=\"noopener\">\u30d1\u30f3\u30c0\u3067\u30b9\u30e9\u30a4\u30c9\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306e\u5909\u5316\u7387\/\" target=\"_blank\" rel=\"noopener\">\u30d1\u30f3\u30c0\u3067\u5909\u5316\u7387\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u30ed\u30fc\u30ea\u30f3\u30b0\u4e2d\u592e\u5024\u306f\u3001\u6642\u7cfb\u5217\u5185\u306e\u4ee5\u524d\u306e\u671f\u9593\u306e\u6570\u306e\u4e2d\u592e\u5024\u3067\u3059\u3002 pandas DataFrame \u306e\u5217\u306e\u30ed\u30fc\u30ea\u30f3\u30b0\u4e2d\u592e\u5024\u3092\u8a08\u7b97\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002 #calculate rolling median of pr [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-2338","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pandas \u3067\u79fb\u52d5\u4e2d\u592e\u5024\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d) - \u7d71\u8a08<\/title>\n<meta name=\"description\" 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