{"id":3878,"date":"2023-07-15T00:00:16","date_gmt":"2023-07-15T00:00:16","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%af%e6%97%a5%e4%bb%98%e3%82%92yyyymmdd%e3%81%ab%e5%a4%89%e6%8f%9b%e3%81%97%e3%81%be%e3%81%99\/"},"modified":"2023-07-15T00:00:16","modified_gmt":"2023-07-15T00:00:16","slug":"%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%af%e6%97%a5%e4%bb%98%e3%82%92yyyymmdd%e3%81%ab%e5%a4%89%e6%8f%9b%e3%81%97%e3%81%be%e3%81%99","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%af%e6%97%a5%e4%bb%98%e3%82%92yyyymmdd%e3%81%ab%e5%a4%89%e6%8f%9b%e3%81%97%e3%81%be%e3%81%99\/","title":{"rendered":"\u30d1\u30f3\u30c0: \u65e5\u4ed8\u3092 yyyymmdd \u5f62\u5f0f\u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001pandas DataFrame \u306e\u65e5\u4ed8\u5217\u3092 YYYYMMDD \u5f62\u5f0f\u306b\u5909\u63db\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#convert date column to datetime\n<\/span>df[' <span style=\"color: #ff0000;\">date_column<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #ff0000;\">date_column<\/span> '])\n\n<span style=\"color: #008080;\">#convert date to YYYYMMDD format\n<\/span>df[' <span style=\"color: #ff0000;\">date_column<\/span> '] = df[' <span style=\"color: #ff0000;\">date_column<\/span> ']. <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">strftime<\/span> (' <span style=\"color: #ff0000;\">%Y%m%d<\/span> '). <span style=\"color: #3366ff;\">astype<\/span> (int)\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u69cb\u6587\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u4f8b: Pandas \u3067\u65e5\u4ed8\u3092 YYYYMMDD \u5f62\u5f0f\u306b\u5909\u63db\u3059\u308b<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u3042\u308b\u4f1a\u793e\u306e\u3055\u307e\u3056\u307e\u306a\u65e5\u4ed8\u306e\u58f2\u4e0a\u3092\u793a\u3059\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;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">date<\/span> ': <span style=\"color: #3366ff;\">pd.date_range<\/span> (start=' <span style=\"color: #ff0000;\">1\/1\/2022<\/span> ', freq=' <span style=\"color: #ff0000;\">MS<\/span> ', periods= <span style=\"color: #008000;\">8<\/span> ),\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n        dirty dates\n0 2022-01-01 18\n1 2022-02-01 22\n2 2022-03-01 19\n3 2022-04-01 14\n4 2022-05-01 14\n5 2022-06-01 11\n6 2022-07-01 20\n7 2022-08-01 28<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u3053\u3067\u3001<strong>\u65e5\u4ed8<\/strong>\u5217\u306e\u5024\u3092 YYYYMMDD \u3068\u3057\u3066\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u3057\u305f\u3044\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u3092\u884c\u3046\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;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#convert date column to datetime\n<\/span>df[' <span style=\"color: #ff0000;\">date<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #ff0000;\">date<\/span> '])\n\n<span style=\"color: #008080;\">#convert date to YYYYMMDD format\n<\/span>df[' <span style=\"color: #ff0000;\">date<\/span> '] = df[' <span style=\"color: #ff0000;\">date<\/span> ']. <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">strftime<\/span> (' <span style=\"color: #ff0000;\">%Y%m%d<\/span> '). <span style=\"color: #3366ff;\">astype<\/span> (int)\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n       dirty dates\n0 20220101 18\n1 20220201 22\n2 20220301 19\n3 20220401 14\n4 20220501 14\n5 20220601 11\n6 20220701 20\n7 20220801 28<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u65e5\u4ed8<\/strong>\u5217\u306e\u5024\u304c YYYYMMDD \u5f62\u5f0f\u306b\u306a\u3063\u3066\u3044\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u4f8b\u3067\u306f\u3001<strong>\u65e5\u4ed8<\/strong>\u5217\u306b\u3059\u3067\u306b datetime \u30af\u30e9\u30b9\u304c\u542b\u307e\u308c\u3066\u3044\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3060\u3057\u3001YYYYMMDD \u5f62\u5f0f\u3092\u9069\u7528\u3059\u308b\u524d\u306b\u3001 <strong>to_datetime()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u7279\u5b9a\u306e\u5217\u306b datetime \u30af\u30e9\u30b9\u304c\u3042\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3059\u308b\u3053\u3068\u306f\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h2>\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\/\u65e5\u4ed8\u30cf\u309a\u30f3\u30bf\u3099\u304b\u3089\u65e5\u6570\u3092\u52a0\u7b97\u3057\u307e\u3059\u3002\/\" target=\"_blank\" rel=\"noopener\">Pandas \u3067\u65e5\u4ed8\u306b\u65e5\u6570\u3092\u52a0\u7b97\u304a\u3088\u3073\u6e1b\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306f-2-\u3064\u306e\u65e5\u4ed8\u9593\u306e\u884c\u3092\u9078\u629e\u3057\u307e\u3059\/\" target=\"_blank\" rel=\"noopener\">Pandas \u3067 2 \u3064\u306e\u65e5\u4ed8\u306e\u9593\u306e\u884c\u3092\u9078\u629e\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306e\u65e5\u4ed8\u306e\u9055\u3044\/\" target=\"_blank\" rel=\"noopener\">\u30d1\u30f3\u30c0\u3067 2 \u3064\u306e\u65e5\u4ed8\u306e\u5dee\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001pandas DataFrame \u306e\u65e5\u4ed8\u5217\u3092 YYYYMMDD \u5f62\u5f0f\u306b\u5909\u63db\u3067\u304d\u307e\u3059\u3002 #convert date column to datetime df[&#8216; date_column &#8216;] = pd [&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-3878","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>\u30d1\u30f3\u30c0: \u65e5\u4ed8\u3092 YYYYMMDD \u5f62\u5f0f\u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5 - \u7d71\u8a08<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001pandas DataFrame \u306e\u65e5\u4ed8\u5217\u3092 YYYYMMDD \u5f62\u5f0f\u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5\u3092\u4f8b\u3092\u6319\u3052\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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