{"id":4314,"date":"2023-07-12T01:20:23","date_gmt":"2023-07-12T01:20:23","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%af%e7%a7%91%e5%ad%a6%e8%a1%a8%e8%a8%98%e6%b3%95%e3%82%92%e8%a8%98%e8%bf%b0%e3%81%97%e3%81%be%e3%81%9b%e3%82%93\/"},"modified":"2023-07-12T01:20:23","modified_gmt":"2023-07-12T01:20:23","slug":"%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%af%e7%a7%91%e5%ad%a6%e8%a1%a8%e8%a8%98%e6%b3%95%e3%82%92%e8%a8%98%e8%bf%b0%e3%81%97%e3%81%be%e3%81%9b%e3%82%93","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%e7%a7%91%e5%ad%a6%e8%a1%a8%e8%a8%98%e6%b3%95%e3%82%92%e8%a8%98%e8%bf%b0%e3%81%97%e3%81%be%e3%81%9b%e3%82%93\/","title":{"rendered":"\u30d1\u30f3\u30c0\uff1adescribe() \u3092\u4f7f\u7528\u3057\u3066\u79d1\u5b66\u8868\u8a18\u3092\u524a\u9664\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>description()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001pandas DataFrame \u5185\u306e\u5909\u6570\u306e<a href=\"https:\/\/statorials.org\/ja\/\u8a18\u8ff0\u63a8\u8ad6\u7d71\u8a08\/\" target=\"_blank\" rel=\"noopener\">\u8a18\u8ff0\u7d71\u8a08<\/a>\u3092\u751f\u6210\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>description()<\/strong>\u95a2\u6570\u306e\u51fa\u529b\u304b\u3089\u79d1\u5b66\u8868\u8a18\u6cd5\u3092\u524a\u9664\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 1: \u5217\u3067 description() \u3092\u4f7f\u7528\u3059\u308b\u3068\u304d\u306b\u79d1\u5b66\u8868\u8a18\u6cd5\u3092\u524a\u9664\u3059\u308b<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>df[' <span style=\"color: #ff0000;\">my_column<\/span> ']. <span style=\"color: #3366ff;\">describe<\/span> (). <span style=\"color: #3366ff;\">apply<\/span> ( <span style=\"color: #008000;\">lambda<\/span> x: <span style=\"color: #008000;\">format<\/span> (x, ' <span style=\"color: #ff0000;\">f<\/span> '))<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 2: \u8907\u6570\u306e\u5217\u3067 description() \u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\u306b\u79d1\u5b66\u8868\u8a18\u6cd5\u3092\u524a\u9664\u3059\u308b<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>df. <span style=\"color: #3366ff;\">describe<\/span> (). <span style=\"color: #3366ff;\">apply<\/span> ( <span style=\"color: #008000;\">lambda<\/span> x: <span style=\"color: #3366ff;\">x.apply<\/span> (' <span style=\"color: #ff0000;\">{0:.5f}<\/span> '. <span style=\"color: #3366ff;\">format<\/span> ))\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u6b21\u306e pandas DataFrame \u3067\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<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<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">store<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [8450550, 406530, 53000, 6000, 2000, 4000, 5400, 6500],\n                   ' <span style=\"color: #ff0000;\">returns<\/span> ':[2212200, 145200, 300, 2500, 700, 600, 800, 1200]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  store sales returns\n0 A 8450550 2212200\n1 A 406530 145200\n2 A 53000 300\n3 A 6000 2500\n4 B 2000 700\n5 B 4000 600\n6 B 5400 800\n7 B 6500 1200<\/strong><\/span><\/pre>\n<h2><span style=\"color: #000000;\"><strong>\u4f8b 1: \u5217\u3067 description() \u3092\u4f7f\u7528\u3059\u308b\u3068\u304d\u306b\u79d1\u5b66\u8868\u8a18\u6cd5\u3092\u524a\u9664\u3059\u308b<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\"><strong>description()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066<strong>\u58f2\u4e0a<\/strong>\u5217\u306e\u8a18\u8ff0\u7d71\u8a08\u3092\u8a08\u7b97\u3059\u308b\u3068\u3001\u51fa\u529b\u5024\u306f\u79d1\u5b66\u7684\u8868\u8a18\u6cd5\u3067\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate descriptive statistics for sales column\n<span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">describe<\/span> ()\n<\/span>\n<\/span>count 8.000000e+00\nmean 1.116748e+06\nstd 2.966552e+06\nmin 2.000000e+03\n25% 5.050000e+03\n50% 6.250000e+03\n75% 1.413825e+05\nmax 8.450550e+06\nName: sales, dtype: float64<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u5404\u51fa\u529b\u5024\u306f\u79d1\u5b66\u8868\u8a18\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u8868\u793a\u3055\u308c\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/span><\/p>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001\u51fa\u529b\u304b\u3089\u79d1\u5b66\u8868\u8a18\u6cd5\u3092\u524a\u9664\u3067\u304d\u307e\u3059\u3002<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#calculate descriptive statistics for sales column and suppress scientific notation<\/span>\ndf[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">describe<\/span> (). <span style=\"color: #3366ff;\">apply<\/span> ( <span style=\"color: #008000;\">lambda<\/span> x: <span style=\"color: #008000;\">format<\/span> (x, ' <span style=\"color: #ff0000;\">f<\/span> '))\n\ncount 8.000000\nmean 1116747.500000\nstd 2966551.594104\nmin 2000.000000\n25% 5050.000000\n50% 6250.000000\n75% 141382.500000\nmax 8450550.000000\nName: sales, dtype: object\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u51fa\u529b\u306e\u5024\u304c\u79d1\u5b66\u8868\u8a18\u6cd5\u306a\u3057\u3067\u8868\u793a\u3055\u308c\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u4f8b 2: \u8907\u6570\u306e\u5217\u3067 description() \u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\u306b\u79d1\u5b66\u8868\u8a18\u6cd5\u3092\u524a\u9664\u3059\u308b<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\"><strong>description()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u5404\u6570\u5024\u5217\u306e\u8a18\u8ff0\u7d71\u8a08\u3092\u8a08\u7b97\u3059\u308b\u3068\u3001\u51fa\u529b\u5024\u306f\u79d1\u5b66\u8868\u8a18\u6cd5\u3067\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate descriptive statistics for each numeric column\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">describe<\/span> ()\n<\/span><\/span>\n               sales returns\ncount 8.000000e+00 8.000000e+00\nmean 1.116748e+06 2.954375e+05\nstd 2.966552e+06 7.761309e+05\nmin 2.000000e+03 3.000000e+02\n25% 5.050000e+03 6.750000e+02\n50% 6.250000e+03 1.000000e+03\n75% 1.413825e+05 3.817500e+04\nmax 8.450550e+06 2.212200e+06<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5404\u51fa\u529b\u5024\u306f\u79d1\u5b66\u8868\u8a18\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u8868\u793a\u3055\u308c\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001\u51fa\u529b\u304b\u3089\u79d1\u5b66\u8868\u8a18\u6cd5\u3092\u524a\u9664\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#calculate descriptive statistics for numerical columns and suppress scientific notation<\/span>\ndf. <span style=\"color: #3366ff;\">describe<\/span> (). <span style=\"color: #3366ff;\">apply<\/span> ( <span style=\"color: #008000;\">lambda<\/span> x: <span style=\"color: #3366ff;\">x.apply<\/span> (' <span style=\"color: #ff0000;\">{0:.5f}<\/span> '. <span style=\"color: #3366ff;\">format<\/span> ))\n\n                sales returns\ncount 8.00000 8.00000\nmean 1116747.50000 295437.50000\nstd 2966551.59410 776130.93692\nmin 2000.00000 300.00000\n25% 5050.00000 675.00000\n50% 6250.00000 1000.00000\n75% 141382.50000 38175.00000\nmax 8450550.00000 2212200.00000\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u51fa\u529b\u306e\u5024\u304c\u79d1\u5b66\u8868\u8a18\u6cd5\u306a\u3057\u3067\u8868\u793a\u3055\u308c\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u4f8b\u3067\u306f\u3001\u51fa\u529b\u306e\u5c0f\u6570\u70b9\u4ee5\u4e0b<strong>5<\/strong>\u6841\u3092\u8868\u793a\u3059\u308b\u305f\u3081\u306b<strong>0:.5f<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u7570\u306a\u308b\u5c0f\u6570\u70b9\u4ee5\u4e0b\u306e\u6841\u6570\u3092\u8868\u793a\u3059\u308b\u306b\u306f\u3001 <strong>5<\/strong>\u3092\u5225\u306e\u6570\u5024\u306b\u7f6e\u304d\u63db\u3048\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h2>\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\u306e\u30af\u3099\u30eb\u30fc\u30d5\u309a\u3053\u3099\u3068\u306e\u7d2f\u7a4d\u5408\u8a08\/\" target=\"_blank\" rel=\"noopener\">Pandas: \u30b0\u30eb\u30fc\u30d7\u3054\u3068\u306e\u7d2f\u7a4d\u5408\u8a08\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/pandas-groupby-\u30ab\u30a6\u30f3\u30c8\u306f\u4e00\u610f\u3066\u3099\u3059\/\" target=\"_blank\" rel=\"noopener\">\u30d1\u30f3\u30c0: \u30b0\u30eb\u30fc\u30d7\u3054\u3068\u306b\u4e00\u610f\u306e\u5024\u3092\u6570\u3048\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306egroupby\u76f8\u95a2\/\" target=\"_blank\" rel=\"noopener\">\u30d1\u30f3\u30c0: \u30b0\u30eb\u30fc\u30d7\u3054\u3068\u306e\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>description()\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001pandas DataFrame \u5185\u306e\u5909\u6570\u306e\u8a18\u8ff0\u7d71\u8a08\u3092\u751f\u6210\u3067\u304d\u307e\u3059\u3002 description()\u95a2\u6570\u306e\u51fa\u529b\u304b\u3089\u79d1\u5b66\u8868\u8a18\u6cd5\u3092\u524a\u9664\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002 \u65b9\u6cd5 1: [&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-4314","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>\u30d1\u30f3\u30c0\uff1adescribe() \u3092\u4f7f\u7528\u3057\u3066\u79d1\u5b66\u8868\u8a18\u6cd5\u3092\u524a\u9664\u3059\u308b\u65b9\u6cd5 - Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001pandas \u3067 description() \u95a2\u6570\u3092\u4f7f\u7528\u3057\u3001\u51fa\u529b\u5185\u306e\u79d1\u5b66\u8868\u8a18\u6cd5\u3092\u524a\u9664\u3059\u308b\u65b9\u6cd5\u3092\u4f8b\u3092\u6319\u3052\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta 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