{"id":1778,"date":"2023-07-25T00:37:40","date_gmt":"2023-07-25T00:37:40","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%82%92pd%e3%81%a8%e3%81%97%e3%81%a6%e3%82%a4%e3%83%b3%e3%83%9b%e3%82%9a%e3%83%bc%e3%83%88%e3%81%99%e3%82%8b\/"},"modified":"2023-07-25T00:37:40","modified_gmt":"2023-07-25T00:37:40","slug":"%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%82%92pd%e3%81%a8%e3%81%97%e3%81%a6%e3%82%a4%e3%83%b3%e3%83%9b%e3%82%9a%e3%83%bc%e3%83%88%e3%81%99%e3%82%8b","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%82%92pd%e3%81%a8%e3%81%97%e3%81%a6%e3%82%a4%e3%83%b3%e3%83%9b%e3%82%9a%e3%83%bc%e3%83%88%e3%81%99%e3%82%8b\/","title":{"rendered":"Python \u3067 pandas \u3092\u4f7f\u7528\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5: pandas \u3092 pd \u5f62\u5f0f\u3067\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>pandas \u306f<\/strong>\u3001Python \u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u306b\u57fa\u3065\u3044\u3066\u69cb\u7bc9\u3055\u308c\u305f\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u30c7\u30fc\u30bf\u5206\u6790\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u30d1\u30f3\u30c0\u3092 Python \u74b0\u5883\u306b\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u6700\u3082\u4e00\u822c\u7684\u306a\u65b9\u6cd5\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u30b3\u30fc\u30c9\u306e<strong>import pandas<\/strong>\u90e8\u5206\u306f\u3001pandas \u30c7\u30fc\u30bf\u5206\u6790\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u73fe\u5728\u306e\u74b0\u5883\u306b\u7d71\u5408\u3059\u308b\u3088\u3046\u306b Python \u306b\u6307\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u30b3\u30fc\u30c9\u306e<strong>as pd<\/strong>\u90e8\u5206\u306f\u3001\u30d1\u30f3\u30c0\u306b\u30a8\u30a4\u30ea\u30a2\u30b9<strong>pd \u3092<\/strong>\u4e0e\u3048\u308b\u3088\u3046\u306b Python \u306b\u6307\u793a\u3057\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001pandas.function_name \u3067\u306f\u306a\u304f pd.function_name \u3092\u5165\u529b\u3059\u308b\u3060\u3051\u3067 pandas \u95a2\u6570\u3092\u4f7f\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u30d1\u30f3\u30c0\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u305f\u3089\u3001\u7d44\u307f\u8fbc\u307f\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u30c7\u30fc\u30bf\u3092\u4f5c\u6210\u304a\u3088\u3073\u5206\u6790\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<h3><strong><span style=\"color: #000000;\">\u30b7\u30ea\u30fc\u30ba\u3068\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\u4f5c\u6210\u65b9\u6cd5<\/span><\/strong><\/h3>\n<p><span style=\"color: #000000;\">pandas \u3067\u6271\u3046\u6700\u3082\u4e00\u822c\u7684\u306a\u30c7\u30fc\u30bf\u578b\u306f\u3001 <strong>Series<\/strong>\u3068<strong>DataFrames<\/strong>\u3067\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1.\u30b7\u30ea\u30fc\u30ba<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u30b7\u30ea\u30fc\u30ba\u306f 1 \u6b21\u5143\u914d\u5217\u3067\u3059\u3002\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u30d1\u30f3\u30c0\u3092\u4f7f\u7528\u3057\u3066\u30b7\u30ea\u30fc\u30ba\u3092\u3059\u3070\u3084\u304f\u4f5c\u6210\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: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\n\n#defineSeries<\/span>\nx = pd. <span style=\"color: #3366ff;\">Series<\/span> ([25, 12, 15, 14, 19, 23, 25, 29])\n\n<span style=\"color: #008080;\">#displaySeries<\/span>\n<span style=\"color: #008000;\">print<\/span> (x)\n\n0 25\n1 12\n2 15\n3 14\n4 19\n5 23\n6 25\n7 29\ndtype: int64\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\"><strong>2. \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">DataFrame \u306f 2 \u6b21\u5143\u914d\u5217\u3067\u3059\u3002\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u30d1\u30f3\u30c0\u3092\u4f7f\u7528\u3057\u3066 DataFrame \u3092\u3059\u3070\u3084\u304f\u4f5c\u6210\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: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\n\n#define DataFrame<\/span>\ndf = 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\n<span style=\"color: #008080;\">#display DataFrame<\/span>\n<span style=\"color: #008000;\">print<\/span> (df)\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<\/strong><\/span><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Pandas \u306e\u30a4\u30f3\u30dd\u30fc\u30c8\u6642\u306b\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u306e\u3042\u308b\u30a8\u30e9\u30fc<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u30d1\u30f3\u30c0\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u3068\u304d\u306b\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u306e\u3042\u308b 2 \u3064\u306e\u6f5c\u5728\u7684\u306a\u30a8\u30e9\u30fc\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1. NameError: \u540d\u524d\u300cpd\u300d\u304c\u5b9a\u7fa9\u3055\u308c\u3066\u3044\u307e\u305b\u3093<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u306e\u3042\u308b\u30a8\u30e9\u30fc\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #ff0000;\">NameError<\/span> : name 'pd' is not defined\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306f\u3001\u30d1\u30f3\u30c0\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u3068\u304d\u306b\u30d1\u30f3\u30c0\u306e\u30a8\u30a4\u30ea\u30a2\u30b9\u306b\u5931\u6557\u3057\u305f\u5834\u5408\u306b\u767a\u751f\u3057\u307e\u3059\u3002\u3053\u306e\u30a8\u30e9\u30fc\u3092\u7d20\u65e9\u304f\u4fee\u6b63\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u306f\u3001 <a href=\"https:\/\/statorials.org\/ja\/nameerror-pd-\u540d\u304b\u3099\u5b9a\u7fa9\u3055\u308c\u3066\u3044\u307e\u305b\u3093\/\" target=\"_blank\" rel=\"noopener\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb<\/a>\u3092\u304a\u8aad\u307f\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2. pandas \u3068\u3044\u3046\u540d\u524d\u306e\u30e2\u30b8\u30e5\u30fc\u30eb\u304c\u3042\u308a\u307e\u305b\u3093<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u306e\u3042\u308b\u5225\u306e\u30a8\u30e9\u30fc\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>no module name ' <span style=\"color: #ff0000;\">pandas<\/span> '\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306f\u3001Python \u304c\u73fe\u5728\u306e\u74b0\u5883\u3067 pandas \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u691c\u51fa\u3057\u306a\u3044\u5834\u5408\u306b\u767a\u751f\u3057\u307e\u3059\u3002\u3053\u306e\u30a8\u30e9\u30fc\u3092\u4fee\u6b63\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u306f\u3001 <a href=\"https:\/\/statorials.org\/ja\/pandas-\u3068\u3044\u3046\u540d\u524d\u306e\u30e2\u30b7\u3099\u30e5\u30fc\u30eb\u306f\u3042\u308a\u307e\u305b\u3093\/\" target=\"_blank\" rel=\"noopener\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb<\/a>\u3092\u304a\u8aad\u307f\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u30d1\u30f3\u30c0\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u77e5\u308a\u305f\u3044\u5834\u5408\u306f\u3001\u6b21\u306e\u30ea\u30bd\u30fc\u30b9\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/-10\/\" target=\"_blank\" rel=\"noopener\">Python \u7d71\u8a08\u30ac\u30a4\u30c9\u306e\u5b8c\u5168\u306a\u30ea\u30b9\u30c8<\/a><br \/><a href=\"https:\/\/pandas.pydata.org\/\" target=\"_blank\" rel=\"noopener\">\u30aa\u30f3\u30e9\u30a4\u30f3\u306e\u30d1\u30f3\u30c0\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u30da\u30fc\u30b8<\/a><br \/><a href=\"https:\/\/www.amazon.com\/Python-Data-Analysis-Wrangling-IPython\/dp\/1491957662\/\" target=\"_blank\" rel=\"noopener\">\u30c7\u30fc\u30bf\u5206\u6790\u306e\u305f\u3081\u306e Python (\u30a6\u30a7\u30b9\u30fb\u30de\u30c3\u30ad\u30cb\u30fc\u8457)<\/a><br \/><a href=\"https:\/\/twitter.com\/pandas_dev\" target=\"_blank\" rel=\"noopener\">\u30d1\u30f3\u30c0\u306e\u516c\u5f0fTwitter\u30da\u30fc\u30b8<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>pandas \u306f\u3001Python \u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u306b\u57fa\u3065\u3044\u3066\u69cb\u7bc9\u3055\u308c\u305f\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u30c7\u30fc\u30bf\u5206\u6790\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002 \u30d1\u30f3\u30c0\u3092 Python \u74b0\u5883\u306b\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u6700\u3082\u4e00\u822c\u7684\u306a\u65b9\u6cd5\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002 import [&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-1778","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>Python \u3067 Pandas \u3092\u4f7f\u7528\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5: Pandas \u3092 PD \u5f62\u5f0f\u3067\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059: import pandas as pd\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u3092pd\u3068\u3057\u3066\u30a4\u30f3\u30db\u309a\u30fc\u30c8\u3059\u308b\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python \u3067 Pandas \u3092\u4f7f\u7528\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5: Pandas \u3092 PD 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