{"id":976,"date":"2023-07-28T03:02:01","date_gmt":"2023-07-28T03:02:01","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e6%97%a5%e6%99%82%e3%82%92%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e6%97%a5%e4%bb%98%e3%81%ab%e5%a4%89%e6%8f%9b%e3%81%97%e3%81%be%e3%81%99\/"},"modified":"2023-07-28T03:02:01","modified_gmt":"2023-07-28T03:02:01","slug":"%e6%97%a5%e6%99%82%e3%82%92%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e6%97%a5%e4%bb%98%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\/%e6%97%a5%e6%99%82%e3%82%92%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e6%97%a5%e4%bb%98%e3%81%ab%e5%a4%89%e6%8f%9b%e3%81%97%e3%81%be%e3%81%99\/","title":{"rendered":"Pandas \u3067 datetime \u3092\u65e5\u4ed8\u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u591a\u304f\u306e\u5834\u5408\u3001\u65e5\u4ed8\/\u6642\u523b\u3092\u30d1\u30f3\u30c0\u306e\u65e5\u4ed8\u306b\u5909\u63db\u3057\u305f\u3044\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002\u5e78\u3044\u306a\u3053\u3068\u306b\u3001\u3053\u308c\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u3068\u308b<strong>.dt.date<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u7c21\u5358\u306b\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #008000;\">date_column<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #008000;\">datetime_column<\/span> ']). <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">date\n<\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b: Pandas \u3067\u306e\u3053\u308c\u307e\u3067\u306e\u65e5\u6642<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001\u6b21\u306e pandas DataFrame \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;\">#create pandas DataFrame with two columns\n<\/span>df = pd.DataFrame({'sales': [4, 11],\n                   'time': ['2020-01-15 20:02:58', '2020-01-18 14:43:24']})\n\n<span style=\"color: #008080;\">#view DataFrame<\/span>\n<span style=\"color: #993300;\">print<\/span> (df)\n\nsales time\n0 4 2020-01-15 20:02:58\n1 11 2020-01-18 14:43:24\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u300c\u6642\u523b\u300d\u5217\u3092\u5358\u7d14\u306a\u65e5\u4ed8\u306b\u5909\u63db\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;\">#convert datetime column to just date<\/span>\ndf[' <span style=\"color: #008000;\">time<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #008000;\">time<\/span> ']). <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">date<\/span>\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #993300;\">print<\/span> (df)\n\n\tsales time\n0 4 2020-01-15\n1 11 2020-01-18\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u308c\u3067\u3001\u300c\u6642\u523b\u300d\u5217\u306b\u306f\u6642\u523b\u306a\u3057\u3067\u65e5\u4ed8\u304c\u8868\u793a\u3055\u308c\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>datetime64 \u578b\u306b\u5bfe\u3059\u308b Normalize() \u306e\u4f7f\u7528<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4e0a\u8a18\u306e\u30b3\u30fc\u30c9\u306f<strong>\u30aa\u30d6\u30b8\u30a7\u30af\u30c8<\/strong>\u30bf\u30a4\u30d7\u3092\u8fd4\u3059\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find dtype of each column in DataFrame<\/span>\ndf. <span style=\"color: #3366ff;\">dtypes<\/span>\n\ndirty int64\ntime object\ndtype:object<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ee3\u308f\u308a\u306b<strong>datetime64<\/strong>\u304c\u5fc5\u8981\u306a\u5834\u5408\u306f\u3001\u6642\u523b\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8<strong>\u3092 Normalize()<\/strong>\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u578b\u306f<strong>datetime64<\/strong>\u306e\u307e\u307e\u306b\u306a\u308a\u307e\u3059\u304c\u3001\u65e5\u4ed8\u306e\u307f\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#convert datetime column to just date<\/span>\ndf[' <span style=\"color: #008000;\">time<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #008000;\">time<\/span> ']). <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">normalize <span style=\"color: #000000;\">()<\/span><\/span>\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #993300;\">print<\/span> (df)\n\n\tsales time\n0 4 2020-01-15\n1 11 2020-01-18\n\n<span style=\"color: #008080;\">#find dtype of each column in DataFrame\n<\/span>df. <span style=\"color: #3366ff;\">dtypes\n\n<span style=\"color: #000000;\">dirty int64\ntime datetime64[ns]\ndtype:object<\/span><\/span>\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u3053\u3067\u3082\u65e5\u4ed8\u306e\u307f\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u304c\u3001\u300ctime\u300d\u5217\u306f<strong>datetime64<\/strong>\u578b\u3067\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/ja\/\u5217\u3092\u30cf\u309a\u30f3\u30bf\u3099\u306e\u65e5\u6642\u306b\u5909\u63db\u3057\u307e\u3059\/\" target=\"_blank\" rel=\"noopener noreferrer\">Pandas \u3067\u5217\u3092 DateTime \u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u6587\u5b57\u5217\u3092\u30d5\u30ed\u30fc\u30c6\u30a3\u30f3\u30af\u3099\u30cf\u309a\u30f3\u30bf\u3099\u306b\u5909\u63db\u3059\u308b\/\" target=\"_blank\" rel=\"noopener noreferrer\">Pandas \u3067\u6587\u5b57\u5217\u3092 float \u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u591a\u304f\u306e\u5834\u5408\u3001\u65e5\u4ed8\/\u6642\u523b\u3092\u30d1\u30f3\u30c0\u306e\u65e5\u4ed8\u306b\u5909\u63db\u3057\u305f\u3044\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002\u5e78\u3044\u306a\u3053\u3068\u306b\u3001\u3053\u308c\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u3068\u308b.dt.date\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u7c21\u5358\u306b\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002 df[&#8216; date_column &#8216;] = pd. to_datet [&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-976","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast 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