{"id":2182,"date":"2023-07-23T08:38:06","date_gmt":"2023-07-23T08:38:06","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%af%e8%a4%87%e6%95%b0%e3%81%ae%e5%88%97%e3%82%92%e9%81%b8%e6%8a%9e%e3%81%97%e3%81%be%e3%81%99\/"},"modified":"2023-07-23T08:38:06","modified_gmt":"2023-07-23T08:38:06","slug":"%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%af%e8%a4%87%e6%95%b0%e3%81%ae%e5%88%97%e3%82%92%e9%81%b8%e6%8a%9e%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%e8%a4%87%e6%95%b0%e3%81%ae%e5%88%97%e3%82%92%e9%81%b8%e6%8a%9e%e3%81%97%e3%81%be%e3%81%99\/","title":{"rendered":"Pandas \u3067\u8907\u6570\u306e\u5217\u3092\u9078\u629e\u3059\u308b\u65b9\u6cd5 (\u4f8b\u3042\u308a)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">pandas DataFrame \u304b\u3089\u8907\u6570\u306e\u5217\u3092\u9078\u629e\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308b\u57fa\u672c\u7684\u306a\u65b9\u6cd5\u304c 3 \u3064\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 1: \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306b\u3088\u3063\u3066\u5217\u3092\u9078\u629e\u3059\u308b<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df_new = df. <span style=\"color: #3366ff;\">iloc<\/span> [:,[0,1,3]]<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 2: \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u7bc4\u56f2\u5185\u306e\u5217\u3092\u9078\u629e\u3059\u308b<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df_new = df. <span style=\"color: #3366ff;\">iloc<\/span> [:, 0:3]<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 3: \u540d\u524d\u3067\u5217\u3092\u9078\u629e\u3059\u308b<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df_new = df[[' <span style=\"color: #ff0000;\">col1<\/span> ', ' <span style=\"color: #ff0000;\">col2<\/span> ']]\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u6b21\u306e pandas DataFrame \u3067\u5404\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\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;\">points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12],\n                   ' <span style=\"color: #ff0000;\">blocks<\/span> ': [4, 7, 7, 6, 5, 8, 9, 10]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tpoints assists rebounds blocks\n0 25 5 11 4\n1 12 7 8 7\n2 15 7 10 7\n3 14 9 6 6\n4 19 12 6 5\n5 23 9 5 8\n6 25 9 9 9\n7 29 4 12 10\n<\/strong><\/span><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 1: \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306b\u3088\u3063\u3066\u5217\u3092\u9078\u629e\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u4f4d\u7f6e 0\u30011\u3001\u304a\u3088\u3073 3 \u306e\u5217\u3092\u9078\u629e\u3059\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: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#select columns in index positions 0, 1, and 3\n<\/span>df_new = df. <span style=\"color: #3366ff;\">iloc<\/span> [:,[0,1,3]]\n\n<span style=\"color: #008080;\">#view new DataFrame\n<\/span>df_new\n\n        points assists blocks\n0 25 5 4\n1 12 7 7\n2 15 7 7\n3 14 9 6\n4 19 12 5\n5 23 9 8\n6 25 9 9\n7 29 4 10\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u4f4d\u7f6e 0\u30011\u3001\u304a\u3088\u3073 3 \u306e\u5217\u304c\u9078\u629e\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6ce8<\/strong>: pandas DataFrame \u306e\u6700\u521d\u306e\u5217\u306f\u4f4d\u7f6e 0 \u306b\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 2: \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u7bc4\u56f2\u5185\u306e\u5217\u3092\u9078\u629e\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u7bc4\u56f2 0 \uff5e 3 \u306e\u5217\u3092\u9078\u629e\u3059\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: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#select columns in index range 0 to 3\n<\/span>df_new = df. <span style=\"color: #3366ff;\">iloc<\/span> [:, 0:3]\n\n<span style=\"color: #008080;\">#view new DataFrame\n<\/span>df_new\n\n        points assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n5 23 9 5\n6 25 9 9\n7 29 4 12\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7bc4\u56f2 (3) \u306e\u6700\u5f8c\u306e\u5024\u306b\u3042\u308b\u5217\u306f\u51fa\u529b\u306b\u542b\u307e\u308c\u306a\u3044\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 3: \u540d\u524d\u3067\u5217\u3092\u9078\u629e\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u540d\u524d\u3067\u5217\u3092\u9078\u629e\u3059\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: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#select columns called 'points' and 'blocks'\n<\/span>df_new = df[[' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">blocks<\/span> ']]\n\n<span style=\"color: #008080;\">#view new DataFrame\n<\/span>df_new\n\n        point blocks\n0 25 4\n1 12 7\n2 15 7\n3 14 6\n4 19 5\n5 23 8\n6 25 9\n7 29 10\n<\/span><\/span><\/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\/\u30cf\u309a\u30f3\u30bf\u3099\u30ea\u30b9\u30c8\u306e\u5217\u540d\/\" target=\"_blank\" rel=\"noopener\">Pandas \u3067\u3059\u3079\u3066\u306e\u5217\u540d\u3092\u30ea\u30b9\u30c8\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30c8\u3099\u30ed\u30c3\u30d5\u309a\u30ab\u30e9\u30e0\u30cf\u309a\u30f3\u30bf\u3099\/\" target=\"_blank\" rel=\"noopener\">Pandas\u3067\u5217\u3092\u524a\u9664\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306f\u30a4\u30f3\u30c6\u3099\u30c3\u30af\u30b9\u3092\u5217\u306b\u5909\u63db\u3057\u307e\u3059\/\" target=\"_blank\" rel=\"noopener\">Pandas\u3067\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u5217\u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>pandas DataFrame \u304b\u3089\u8907\u6570\u306e\u5217\u3092\u9078\u629e\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308b\u57fa\u672c\u7684\u306a\u65b9\u6cd5\u304c 3 \u3064\u3042\u308a\u307e\u3059\u3002 \u65b9\u6cd5 1: \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306b\u3088\u3063\u3066\u5217\u3092\u9078\u629e\u3059\u308b df_new = df. iloc [:,[0,1,3]] \u65b9\u6cd5 2 [&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-2182","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\u8907\u6570\u306e\u5217\u3092\u9078\u629e\u3059\u308b\u65b9\u6cd5 (\u4f8b\u3042\u308a) \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001pandas DataFrame \u304b\u3089\u8907\u6570\u306e\u5217\u3092\u9078\u629e\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, 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