{"id":1944,"date":"2023-07-24T08:36:25","date_gmt":"2023-07-24T08:36:25","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e5%88%86%e5%89%b2%e5%88%97\/"},"modified":"2023-07-24T08:36:25","modified_gmt":"2023-07-24T08:36:25","slug":"%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e5%88%86%e5%89%b2%e5%88%97","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e5%88%86%e5%89%b2%e5%88%97\/","title":{"rendered":"Pandas \u306e\u6587\u5b57\u5217\u5217\u3092\u8907\u6570\u306e\u5217\u306b\u5206\u5272\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"

<\/p>\n

\n

\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001pandas DataFrame \u306e\u6587\u5b57\u5217\u5217\u3092\u8907\u6570\u306e\u5217\u306b\u5206\u5272\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n

 #split column A into two columns: column A and column B<\/span>\ndf[[' A<\/span> ',' B<\/span> ']] = df[' A<\/span> ']. str<\/span> . split<\/span> (' ,<\/span> ', 1<\/span> , expand= True<\/span> )\n<\/strong><\/pre>\n
\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
\u4f8b 1: \u5217\u3092\u30ab\u30f3\u30de\u3067\u5206\u5272\u3059\u308b<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001pandas DataFrame \u306e\u5217\u3092\u30ab\u30f3\u30de\u306b\u57fa\u3065\u3044\u3066 2 \u3064\u306e\u5225\u3005\u306e\u5217\u306b\u5206\u5272\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavs, West', 'Spurs, West', 'Nets, East'],\n                   ' points<\/span> ': [112, 104, 127]})\n\n#view DataFrame<\/span>\ndf\n\n\tteam points\n0 Mavs, West 112\n1 Spurs, West 104\n2 Nets, East 127\n\n#split team column into two columns\n<\/span>df[[' team<\/span> ', ' conference<\/span> ']] = df[' team<\/span> ']. str<\/span> . split<\/span> (' ,<\/span> ', 1<\/span> , expand= True<\/span> )\n\n#view updated DataFrame\n<\/span>df\n\n\tteam points conference\n0 Mavs 112 West\n1 Spurs 104 West\n2 Nets 127 East<\/strong><\/pre>\n
\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u3001\u5206\u5272\u3092\u5b9f\u884c\u3057\u305f\u5f8c\u306b\u5217\u3092\u518d\u914d\u7f6e\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
 #reorder columns\ndf = df[[' team<\/span> ', ' conference<\/span> ', ' points<\/span> ']]<\/span>\n\n#view DataFrame\n<\/span>df\n\n\tteam conference points\n0 Mavs West 112\n1 Spurs West 104\n2 Nets East 127\n<\/strong><\/pre>\n
\u4f8b 2: \u4ed6\u306e\u533a\u5207\u308a\u6587\u5b57\u306b\u3088\u308b\u5217\u306e\u5206\u5272<\/strong><\/span><\/h3>\n
\u540c\u3058\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001\u4ed6\u306e\u533a\u5207\u308a\u6587\u5b57\u3067\u5217\u3092\u5206\u5272\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
\u305f\u3068\u3048\u3070\u3001\u5217\u3092\u30b9\u30da\u30fc\u30b9<\/strong>\u3067\u5206\u5272\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavs West', 'Spurs West', 'Nets East'],\n                   ' points<\/span> ': [112, 104, 127]})\n<\/span>\n#split team column into two columns<\/span>\ndf[[' team<\/span> ', ' conference<\/span> ']] = df[' team<\/span> ']. str<\/span> . split<\/span> (' ', 1<\/span> , expand= True<\/span> )\n\n#view updated DataFrame<\/span>\ndf\n\n\tteam conference points\n0 Mavs West 112\n1 Spurs West 104\n2 Nets East 127\n<\/span><\/span><\/strong><\/pre>\n
\u5217\u3092\u30b9\u30e9\u30c3\u30b7\u30e5<\/strong>\u3067\u533a\u5207\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavs\/West', 'Spurs\/West', 'Nets\/East'],\n                   ' points<\/span> ': [112, 104, 127]})\n<\/span>\n#split team column into two columns\n<\/span>df[[' team<\/span> ', ' conference<\/span> ']] = df[' team<\/span> ']. str<\/span> . split<\/span> (' \/<\/span> ', 1<\/span> , expand= True<\/span> )\n\n#view updated DataFrame\n<\/span>df\n\n\tteam conference points\n0 Mavs West 112\n1 Spurs West 104\n2 Nets East 127<\/span><\/span><\/strong><\/pre>\n
\u3053\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u4efb\u610f\u306e\u533a\u5207\u308a\u6587\u5b57\u3067\u5217\u3092\u5206\u5272\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n
Pandas DataFrame \u306b\u884c\u3092\u8ffd\u52a0\u3059\u308b\u65b9\u6cd5<\/a>
Numpy \u914d\u5217\u3092 Pandas DataFrame \u306b\u8ffd\u52a0\u3059\u308b\u65b9\u6cd5<\/a>
Pandas DataFrame \u306e\u884c\u6570\u3092\u30ab\u30a6\u30f3\u30c8\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001pandas DataFrame \u306e\u6587\u5b57\u5217\u5217\u3092\u8907\u6570\u306e\u5217\u306b\u5206\u5272\u3067\u304d\u307e\u3059\u3002 #split column A into two columns: column A and column B df[[‘  […]<\/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-1944","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\nPandas \u306e\u6587\u5b57\u5217\u5217\u3092\u8907\u6570\u306e\u5217\u306b\u5206\u5272\u3059\u308b\u65b9\u6cd5 - Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001pandas DataFrame \u306e\u6587\u5b57\u5217\u5217\u3092\u8907\u6570\u306e\u5217\u306b\u5206\u5272\u3059\u308b\u65b9\u6cd5\u3092\u4f8b\u3092\u542b\u3081\u3066\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 rel=\"canonical\" href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u5206\u5272\u5217\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas \u306e\u6587\u5b57\u5217\u5217\u3092\u8907\u6570\u306e\u5217\u306b\u5206\u5272\u3059\u308b\u65b9\u6cd5 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001pandas DataFrame \u306e\u6587\u5b57\u5217\u5217\u3092\u8907\u6570\u306e\u5217\u306b\u5206\u5272\u3059\u308b\u65b9\u6cd5\u3092\u4f8b\u3092\u542b\u3081\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u5206\u5272\u5217\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-24T08:36:25+00:00\" \/>\n<meta name=\"author\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e5%88%86%e5%89%b2%e5%88%97\/\",\"url\":\"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e5%88%86%e5%89%b2%e5%88%97\/\",\"name\":\"Pandas \u306e\u6587\u5b57\u5217\u5217\u3092\u8907\u6570\u306e\u5217\u306b\u5206\u5272\u3059\u308b\u65b9\u6cd5 - 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