{"id":4234,"date":"2023-07-12T15:01:15","date_gmt":"2023-07-12T15:01:15","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%81%a8%e6%99%82%e5%88%bb%e3%81%ae%e5%88%97%e3%82%92%e7%b5%90%e5%90%88%e3%81%97%e3%81%be%e3%81%99\/"},"modified":"2023-07-12T15:01:15","modified_gmt":"2023-07-12T15:01:15","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%81%a8%e6%99%82%e5%88%bb%e3%81%ae%e5%88%97%e3%82%92%e7%b5%90%e5%90%88%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%81%a8%e6%99%82%e5%88%bb%e3%81%ae%e5%88%97%e3%82%92%e7%b5%90%e5%90%88%e3%81%97%e3%81%be%e3%81%99\/","title":{"rendered":"\u30d1\u30f3\u30c0: \u65e5\u4ed8\u3068\u6642\u523b\u306e\u5217\u3092\u7d50\u5408\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\u3068\u6642\u523b\u306e\u5217\u3092 1 \u3064\u306e\u5217\u306b\u7d50\u5408\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">datetime<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #ff0000;\">date<\/span> '] + ' ' + df[' <span style=\"color: #ff0000;\">time<\/span> '])\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u306e\u69cb\u6587\u306f\u3001<strong>\u65e5\u4ed8\u5217<\/strong>\u3068<strong>\u6642\u523b<\/strong>\u5217\u304c\u4e21\u65b9\u3068\u3082\u73fe\u5728\u306e\u6587\u5b57\u5217\u3067\u3042\u308b\u3053\u3068\u3092\u524d\u63d0\u3068\u3057\u3066\u3044\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e21\u65b9\u306e\u5217\u304c\u307e\u3060\u6587\u5b57\u5217\u3067\u306a\u3044\u5834\u5408\u306f\u3001 <strong>astype(str)<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u5217\u3092\u6587\u5b57\u5217\u306b\u5909\u63db\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">datetime<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #ff0000;\">date<\/span> ']. <span style=\"color: #3366ff;\">astype<\/span> ( <span style=\"color: #008000;\">str<\/span> ) + ' ' + df[' <span style=\"color: #ff0000;\">time<\/span> ']. <span style=\"color: #3366ff;\">astype<\/span> ( <span style=\"color: #008000;\">str<\/span> ))<\/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\u3068\u6642\u523b\u306e\u5217\u3092\u7d50\u5408\u3059\u308b<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u65e5\u4ed8\u5217\u3068\u6642\u523b\u5217\u3092\u542b\u3080\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<span style=\"color: #000000;\">\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">date<\/span> ': ['10-1-2023', '10-4-2023', '10-6-2023', '10-6-2023',\n                            '10-14-2023', '10-15-2023', '10-29-2023'],\n                   ' <span style=\"color: #ff0000;\">time<\/span> ': ['4:15:00', '7:16:04', '9:25:00', '10:13:45',\n                            '15:30:00', '18:15:00', '23:15:00']})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n         date time\n0 10-1-2023 4:15:00\n1 10-4-2023 7:16:04\n2 10-6-2023 9:25:00\n3 10-6-2023 10:13:45\n4 10-14-2023 15:30:00\n5 10-15-2023 18:15:00\n6 10-29-2023 23:15:00\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u65e5\u4ed8\u5217<\/strong>\u3068<strong>\u6642\u523b<\/strong>\u5217\u306e\u5024\u3092\u7d50\u5408\u3059\u308b<strong>datetime<\/strong>\u3068\u3044\u3046\u65b0\u3057\u3044\u5217\u3092\u4f5c\u6210\u3059\u308b\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;\">#create new datetime column<\/span>\ndf[' <span style=\"color: #ff0000;\">datetime<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #ff0000;\">date<\/span> '] + ' ' + df[' <span style=\"color: #ff0000;\">time<\/span> '])\n\n<span style=\"color: #008080;\">#view updated DataFrame<\/span>\n<span style=\"color: #008000;\">print<\/span> (df)\n\n         datetime datetime\n0 10-1-2023 4:15:00 2023-10-01 04:15:00\n1 10-4-2023 7:16:04 2023-10-04 07:16:04\n2 10-6-2023 9:25:00 2023-10-06 09:25:00\n3 10-6-2023 10:13:45 2023-10-06 10:13:45\n4 10-14-2023 15:30:00 2023-10-14 15:30:00\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u65b0\u3057\u3044<strong>\u65e5\u6642<\/strong>\u5217\u306f\u3001<strong>\u65e5\u4ed8\u5217<\/strong>\u3068<strong>\u6642\u523b<\/strong>\u5217\u306e\u5024\u3092\u5358\u4e00\u306e\u5217\u306b\u6b63\u5e38\u306b\u7d50\u5408\u3057\u3066\u3044\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>dtypes<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001DataFrame \u306e\u5404\u5217\u306e\u30c7\u30fc\u30bf\u578b\u3092\u78ba\u8a8d\u3059\u308b\u3053\u3068\u3082\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;\">#view data type of each column\n<\/span>df. <span style=\"color: #3366ff;\">dtypes\n\n<span style=\"color: #000000;\">date object\ntime object\ndatetime datetime64[ns]\ndtype:object\n<\/span><\/span><\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u7d50\u679c\u304b\u3089\u3001<strong>\u65e5\u4ed8<\/strong>\u3068<strong>\u6642\u523b\u306e<\/strong>\u5217\u306f\u4e21\u65b9\u3068\u3082\u30aa\u30d6\u30b8\u30a7\u30af\u30c8 (\u3064\u307e\u308a\u3001\u6587\u5b57\u5217) \u3067\u3042\u308a\u3001\u65b0\u3057\u3044<strong>\u65e5\u4ed8\u6642\u523b<\/strong>\u5217\u306f\u65e5\u4ed8\u6642\u523b\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6ce8<\/strong>: pandas <strong>to_datetime()<\/strong>\u95a2\u6570\u306e\u5b8c\u5168\u306a\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306f<a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.to_datetime.html\" target=\"_blank\" rel=\"noopener\">\u3053\u3053\u3067<\/a>\u898b\u3064\u3051\u308b\u3053\u3068\u304c\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\/\u30cf\u309a\u30f3\u30bf\u3099\u306e\u65e5\u4ed8\u7bc4\u56f2\/\" target=\"_blank\" rel=\"noopener\">Pandas \u3067\u65e5\u4ed8\u7bc4\u56f2\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306e\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d5\u309a\u306e\u65e5\u4ed8\u6642\u523b\/\" target=\"_blank\" rel=\"noopener\">Pandas\u3067\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d7\u3092\u65e5\u4ed8\/\u6642\u523b\u306b\u5909\u63db\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\u3068\u6642\u523b\u306e\u5217\u3092 1 \u3064\u306e\u5217\u306b\u7d50\u5408\u3067\u304d\u307e\u3059\u3002 df[&#8216; datetime &#8216;] = pd. to_datetime (df[&#8216; date &#8216;] + &#8216; &#8216; + df [&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-4234","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\u3068\u6642\u523b\u306e\u5217\u3092\u7d50\u5408\u3059\u308b\u65b9\u6cd5 - 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\u8a18\u4e8b\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ja\/#website\"},\"datePublished\":\"2023-07-12T15:01:15+00:00\",\"dateModified\":\"2023-07-12T15:01:15+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ja\/#\/schema\/person\/86b92d2dd87368b26360d19d9c6a5d83\"},\"description\":\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001pandas DataFrame 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