{"id":4104,"date":"2023-07-13T13:24:27","date_gmt":"2023-07-13T13:24:27","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%81%e3%82%a7%e3%83%bc%e3%83%b3%e3%81%93%e3%82%99%e3%81%a8%e3%81%ab%e4%b8%a6%e3%81%b8%e3%82%99%e6%9b%bf%e3%81%88%e3%82%89%e3%82%8c%e3%81%9f%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99\/"},"modified":"2023-07-13T13:24:27","modified_gmt":"2023-07-13T13:24:27","slug":"%e3%83%81%e3%82%a7%e3%83%bc%e3%83%b3%e3%81%93%e3%82%99%e3%81%a8%e3%81%ab%e4%b8%a6%e3%81%b8%e3%82%99%e6%9b%bf%e3%81%88%e3%82%89%e3%82%8c%e3%81%9f%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%83%81%e3%82%a7%e3%83%bc%e3%83%b3%e3%81%93%e3%82%99%e3%81%a8%e3%81%ab%e4%b8%a6%e3%81%b8%e3%82%99%e6%9b%bf%e3%81%88%e3%82%89%e3%82%8c%e3%81%9f%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99\/","title":{"rendered":"Pandas: \u6587\u5b57\u5217\u5217\u306b\u57fa\u3065\u3044\u3066 dataframe \u3092\u4e26\u3079\u66ff\u3048\u308b\u65b9\u6cd5"},"content":{"rendered":"

<\/p>\n

\n

\u6b21\u306e\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001\u7279\u5b9a\u306e\u6587\u5b57\u5217\u5217\u306e\u5024\u306b\u57fa\u3065\u3044\u3066 pandas DataFrame \u306e\u884c\u3092\u4e26\u3079\u66ff\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n

\u65b9\u6cd5 1: \u6587\u5b57\u5217\u5217\u3067\u4e26\u3079\u66ff\u3048\u308b (\u5217\u306b\u6587\u5b57\u306e\u307f\u304c\u542b\u307e\u308c\u308b\u5834\u5408)<\/strong><\/span><\/p>\n

 df = df. sort_values<\/span> (' my_string_column<\/span> ')\n<\/strong><\/pre>\n
\u65b9\u6cd5 2: \u6587\u5b57\u5217\u5217\u3067\u4e26\u3079\u66ff\u3048\u308b (\u5217\u306b\u6587\u5b57\u3068<\/em>\u6570\u5b57\u304c\u542b\u307e\u308c\u308b\u5834\u5408)<\/strong><\/span><\/p>\n
 #create 'sort' column that contains digits from 'my_string_column'\n<\/span>df[' sort<\/span> '] = df[' my_string_column<\/span> ']. str<\/span> . extract<\/span> (' (\\d+)<\/span> ', expand= False<\/span> ). astype<\/span> (int)\n<\/span>\n#sort rows based on digits in 'sort' column\n<\/span>df = df. sort_values<\/span> (' sort<\/span> ')\n<\/strong><\/pre>\n
\u6b21\u306e\u4f8b\u306f\u3001\u5404\u30e1\u30bd\u30c3\u30c9\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
\u4f8b1: \u6587\u5b57\u5217\u5217\u306b\u3088\u308b\u30bd\u30fc\u30c8(\u5217\u306b\u6587\u5b57\u306e\u307f\u304c\u542b\u307e\u308c\u308b\u5834\u5408)<\/strong><\/span><\/h2>\n
\u98df\u6599\u54c1\u5e97\u3067\u306e\u3055\u307e\u3056\u307e\u306a\u5546\u54c1\u306e\u8ca9\u58f2\u306b\u95a2\u3059\u308b\u60c5\u5831\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
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' product<\/span> ': ['Apples', 'Oranges', 'Bananas', 'Lettuce', 'Beans'],\n                   ' sales<\/span> ': [18, 22, 19, 14, 29]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   product sales\n0 Apples 18\n1 Oranges 22\n2 Bananas 19\n3 Lettuce 14\n4 Beans 29<\/strong><\/pre>\n
\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001 product<\/strong>\u5217\u306e\u6587\u5b57\u5217\u306b\u57fa\u3065\u3044\u3066 DataFrame \u306e\u884c\u3092\u4e26\u3079\u66ff\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
 #sort rows from A to Z based on string in 'product' column\n<\/span>df = df. sort_values<\/span> (' product<\/span> ')\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n   product sales\n0 Apples 18\n2 Bananas 19\n4 Beans 29\n3 Lettuce 14\n1 Oranges 22<\/span><\/span><\/strong><\/pre>\n
 Product<\/strong>\u5217\u306e\u6587\u5b57\u5217\u306b\u57fa\u3065\u3044\u3066\u884c\u304c A \u304b\u3089 Z \u306b\u4e26\u3079\u66ff\u3048\u3089\u308c\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
\u4ee3\u308f\u308a\u306b Z \u304b\u3089 A \u306b\u4e26\u3079\u66ff\u3048\u305f\u3044\u5834\u5408\u306f\u3001\u5358\u306b\u5f15\u6570ascending=False<\/strong>\u3092\u8ffd\u52a0\u3057\u307e\u3059\u3002<\/span><\/p>\n
 #sort rows from Z to A based on string in 'product' column\n<\/span>df = df. sort_values<\/span> (' product<\/span> ', ascending= False<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n   product sales\n1 Oranges 22\n3 Lettuce 14\n4 Beans 29\n2 Bananas 19\n0 Apples 18\n<\/span><\/span><\/strong><\/pre>\n
 Product<\/strong>\u5217\u306e\u6587\u5b57\u5217\u306b\u57fa\u3065\u3044\u3066\u884c\u304c Z \u304b\u3089 A \u306b\u4e26\u3079\u66ff\u3048\u3089\u308c\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
\u4f8b 2: \u6587\u5b57\u5217\u5217\u306b\u3088\u308b\u30bd\u30fc\u30c8 (\u5217\u306b\u6587\u5b57\u3068<\/em>\u6570\u5b57\u304c\u542b\u307e\u308c\u308b\u5834\u5408)<\/strong><\/span><\/h2>\n
\u98df\u6599\u54c1\u5e97\u3067\u306e\u3055\u307e\u3056\u307e\u306a\u5546\u54c1\u306e\u8ca9\u58f2\u306b\u95a2\u3059\u308b\u60c5\u5831\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
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' product<\/span> ': ['A3', 'A5', 'A22', 'A50', 'A2', 'A7', 'A9', 'A13'],\n                   ' sales<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  product sales\n0 A3 18\n1 A5 22\n2 A22 19\n3 A50 14\n4 A2 14\n5 A7 11\n6 A9 20\n7 A13 28\n<\/strong><\/pre>\n
\u88fd\u54c1<\/strong>\u5217\u306e\u6587\u5b57\u5217\u306b\u306f\u6587\u5b57\u3068\u6570\u5b57\u306e\u4e21\u65b9\u304c\u542b\u307e\u308c\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
 product<\/strong>\u5217\u306e\u5024\u3092\u4f7f\u7528\u3057\u3066 DataFrame \u306e\u884c\u3092\u4e26\u3079\u66ff\u3048\u3088\u3046\u3068\u3059\u308b\u3068\u3001\u6587\u5b57\u5217\u306f\u6570\u5024\u306b\u57fa\u3065\u3044\u3066\u6b63\u3057\u3044\u9806\u5e8f\u3067\u4e26\u3079\u66ff\u3048\u3089\u308c\u307e\u305b\u3093\u3002<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#sort rows based on strings in 'product' column\n<\/span>df = df. sort_values<\/span> (' product<\/span> ')\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n  product sales\n7 A13 28\n4 A2 14\n2 A22 19\n0 A3 18\n1 A5 22\n3 A50 14\n5 A7 11\n6 A9 20\n<\/strong><\/pre>\n
\u4ee3\u308f\u308a\u306b\u3001product \u5217\u306e\u6570\u5024\u306e\u307f\u3092\u542b\u3080sort<\/strong>\u3068\u3044\u3046\u65b0\u3057\u3044\u4e00\u6642\u5217\u3092\u4f5c\u6210\u3057\u3001 sort<\/strong>\u5217\u306e\u5024\u3067\u4e26\u3079\u66ff\u3048\u3066\u304b\u3089\u3001\u5217\u3092\u5b8c\u5168\u306b\u524a\u9664\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create new 'sort' column that contains digits from 'product' column\n<\/span>df[' sort<\/span> '] = df[' product<\/span> ']. str<\/span> . extract<\/span> (' (\\d+)<\/span> ', expand= False<\/span> ). astype<\/span> (int)\n\n#sort rows based on digits in 'sort' column\n<\/span>df = df. sort_values<\/span> (' sort<\/span> ')\n\n#drop 'sort' column\n<\/span>df = df. drop<\/span> (' sort<\/span> ', axis= 1<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n  product sales\n4 A2 14\n0 A3 18\n1 A5 22\n5 A7 11\n6 A9 20\n7 A13 28\n2 A22 19\n3 A50 14<\/strong><\/pre>\n
\u884c\u304c\u88fd\u54c1<\/strong>\u5217\u306e\u6587\u5b57\u5217\u306b\u3088\u3063\u3066\u4e26\u3079\u66ff\u3048\u3089\u308c\u3001\u6570\u5024\u304c\u6b63\u3057\u3044\u9806\u5e8f\u3067\u4e26\u3079\u66ff\u3048\u3089\u308c\u308b\u3053\u3068\u306b\u6ce8\u76ee\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
\u6ce8<\/strong>: pandas sort_values()<\/strong>\u95a2\u6570\u306e\u5b8c\u5168\u306a\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306f\u3053\u3053\u3067<\/a>\u898b\u3064\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h2>\n
\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u30d1\u30f3\u30c0\u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n
 \u30d1\u30f3\u30c0: \u65e5\u4ed8\u9806\u306b\u4e26\u3079\u66ff\u3048\u308b\u65b9\u6cd5<\/a>
\u30d1\u30f3\u30c0: \u5217\u3092\u540d\u524d\u3067\u4e26\u3079\u66ff\u3048\u308b\u65b9\u6cd5<\/a>
\u30d1\u30f3\u30c0: \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3068\u5217\u306e\u4e21\u65b9\u3067\u4e26\u3079\u66ff\u3048\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u6b21\u306e\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001\u7279\u5b9a\u306e\u6587\u5b57\u5217\u5217\u306e\u5024\u306b\u57fa\u3065\u3044\u3066 pandas DataFrame \u306e\u884c\u3092\u4e26\u3079\u66ff\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 \u65b9\u6cd5 1: \u6587\u5b57\u5217\u5217\u3067\u4e26\u3079\u66ff\u3048\u308b (\u5217\u306b\u6587\u5b57\u306e\u307f\u304c\u542b\u307e\u308c\u308b\u5834\u5408) df = df. sort_va […]<\/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-4104","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\nPandas: \u6587\u5b57\u5217\u5217\u306b\u57fa\u3065\u3044\u3066 DataFrame \u3092\u4e26\u3079\u66ff\u3048\u308b\u65b9\u6cd5 \u2013 Statorials<\/title>\n<meta name=\"description\" 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