{"id":1943,"date":"2023-07-24T08:42:58","date_gmt":"2023-07-24T08:42:58","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%af2%e3%81%a4%e3%81%ae%e5%88%97%e3%82%92%e6%b8%9b%e7%ae%97%e3%81%97%e3%81%be%e3%81%99\/"},"modified":"2023-07-24T08:42:58","modified_gmt":"2023-07-24T08:42:58","slug":"%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%af2%e3%81%a4%e3%81%ae%e5%88%97%e3%82%92%e6%b8%9b%e7%ae%97%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%af2%e3%81%a4%e3%81%ae%e5%88%97%e3%82%92%e6%b8%9b%e7%ae%97%e3%81%97%e3%81%be%e3%81%99\/","title":{"rendered":"Pandas dataframe \u3067 2 \u3064\u306e\u5217\u3092\u6e1b\u7b97\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 \u5185\u306e 1 \u3064\u306e\u5217\u3092\u5225\u306e\u5217\u304b\u3089\u6e1b\u7b97\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#subtract column 'B' from column 'A'<\/span>\ndf[' <span style=\"color: #ff0000;\">AB<\/span> '] = df. <span style=\"color: #3366ff;\">A<\/span> - df. <span style=\"color: #3366ff;\">B\n<\/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<h3><span style=\"color: #000000;\"><strong>\u4f8b 1: Pandas \u3067 2 \u3064\u306e\u5217\u3092\u6e1b\u7b97\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001pandas DataFrame \u5185\u306e 1 \u3064\u306e\u5217\u3092\u5225\u306e\u5217\u304b\u3089\u6e1b\u7b97\u3057\u3001\u305d\u306e\u7d50\u679c\u3092\u65b0\u3057\u3044\u5217\u306b\u5272\u308a\u5f53\u3066\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\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> \ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">A<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' <span style=\"color: #ff0000;\">B<\/span> ': [5, 7, 8, 9, 12, 9, 12, 4],\n                   ' <span style=\"color: #ff0000;\">C<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n<span style=\"color: #008080;\">#subtract column B from column A<\/span>\ndf[' <span style=\"color: #ff0000;\">AB<\/span> '] = df. <span style=\"color: #3366ff;\">A<\/span> - df. <span style=\"color: #3366ff;\">B<\/span>\n\n<span style=\"color: #008080;\">#view DataFrame<\/span>\ndf\n\n        A B C AB\n0 25 5 11 20\n1 12 7 8 5\n2 15 8 10 7\n3 14 9 6 5\n4 19 12 6 7\n5 23 9 5 14\n6 25 12 9 13\n7 29 4 12 25\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u300c <strong>AB<\/strong> \u300d\u3068\u3044\u3046\u65b0\u3057\u3044\u5217\u306b\u306f\u3001\u5217 A \u306e\u5024\u304b\u3089\u5217 B \u306e\u5024\u3092\u6e1b\u7b97\u3057\u305f\u7d50\u679c\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: \u6b20\u640d\u5024\u306e\u3042\u308b 2 \u3064\u306e\u5217\u3092\u6e1b\u7b97\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">pandas DataFrame \u3067 1 \u3064\u306e\u5217\u3092\u5225\u306e\u5217\u304b\u3089\u6e1b\u7b97\u3057\u3001\u5217\u306e 1 \u3064\u306b\u6b20\u640d\u5024\u304c\u3042\u308b\u5834\u5408\u3001\u6e1b\u7b97\u306e\u7d50\u679c\u306f\u5e38\u306b\u6b20\u640d\u5024\u306b\u306a\u308a\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<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create DataFrame with some missing values<\/span>\n<span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">A<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' <span style=\"color: #ff0000;\">B<\/span> ': [5, 7, np. <span style=\"color: #3366ff;\">no<\/span> , 9, 12, np. <span style=\"color: #3366ff;\">no<\/span> , 12, 4],\n                   ' <span style=\"color: #ff0000;\">C<\/span> ': [np. <span style=\"color: #3366ff;\">no<\/span> , 8, 10, 6, 6, 5, 9, 12]}) \n<\/span>\n<span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#subtract column B from column A<\/span>\ndf[' <span style=\"color: #ff0000;\">AB<\/span> '] = df. <span style=\"color: #3366ff;\">A<\/span> - df. <span style=\"color: #3366ff;\">B\n<\/span>\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tA B C AB\n0 25 5.0 NaN 20.0\n1 12 7.0 8.0 5.0\n2 15 NaN 10.0 NaN\n3 14 9.0 6.0 5.0\n4 19 12.0 6.0 7.0\n5 23 NaN 5.0 NaN\n6 25 12.0 9.0 13.0\n7 29 4.0 12.0 25.0\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u3001\u3042\u308b\u5217\u3092\u5225\u306e\u5217\u304b\u3089\u6e1b\u7b97\u3059\u308b\u524d\u306b\u3001 <strong>df.fillna(0)<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001dataFrame \u5185\u306e\u3059\u3079\u3066\u306e\u6b20\u640d\u5024\u3092\u30bc\u30ed\u306b\u7f6e\u304d\u63db\u3048\u308b\u3053\u3068\u304c\u3067\u304d\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<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create DataFrame with some missing values<\/span>\n<span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">A<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' <span style=\"color: #ff0000;\">B<\/span> ': [5, 7, np. <span style=\"color: #3366ff;\">no<\/span> , 9, 12, np. <span style=\"color: #3366ff;\">no<\/span> , 12, 4],\n                   ' <span style=\"color: #ff0000;\">C<\/span> ': [np. <span style=\"color: #3366ff;\">no<\/span> , 8, 10, 6, 6, 5, 9, 12]}) \n<\/span>\n<span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#replace all missing values with zeros\n<\/span>df = df. <span style=\"color: #3366ff;\">fillna<\/span> ( <span style=\"color: #008000;\">0<\/span> )\n\n<span style=\"color: #008080;\">#subtract column B from column A<\/span>\ndf[' <span style=\"color: #ff0000;\">AB<\/span> '] = df. <span style=\"color: #ff0000;\">A<\/span> - df. <span style=\"color: #ff0000;\">B<\/span>\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\tA B C AB\n0 25 5.0 0.0 20.0\n1 12 7.0 8.0 5.0\n2 15 0.0 10.0 15.0\n3 14 9.0 6.0 5.0\n4 19 12.0 6.0 7.0\n5 23 0.0 5.0 23.0\n6 25 12.0 9.0 13.0\n7 29 4.0 12.0 25.0<\/span><\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306f\u30c6\u3099\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u884c\u3092\u8ffd\u52a0\u3057\u307e\u3059\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame \u306b\u884c\u3092\u8ffd\u52a0\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/numpy\u914d\u5217\u3092pandas\u30c6\u3099\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u8ffd\u52a0\u3057\u307e\u3059\/\" target=\"_blank\" rel=\"noopener\">Numpy \u914d\u5217\u3092 Pandas DataFrame \u306b\u8ffd\u52a0\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/-10\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame \u306e\u884c\u6570\u3092\u30ab\u30a6\u30f3\u30c8\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001pandas DataFrame \u5185\u306e 1 \u3064\u306e\u5217\u3092\u5225\u306e\u5217\u304b\u3089\u6e1b\u7b97\u3067\u304d\u307e\u3059\u3002 #subtract column &#8216;B&#8217; from column &#8216;A&#8217; df[&#8216; AB &#8216;] = df. A &#8211; 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-1943","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 DataFrame \u3067 2 \u3064\u306e\u5217\u3092\u6e1b\u7b97\u3059\u308b\u65b9\u6cd5 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001pandas DataFrame \u306e 2 \u3064\u306e\u5217\u3092\u6e1b\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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