{"id":3125,"date":"2023-07-19T01:59:22","date_gmt":"2023-07-19T01:59:22","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99t%e3%83%86%e3%82%b9%e3%83%88\/"},"modified":"2023-07-19T01:59:22","modified_gmt":"2023-07-19T01:59:22","slug":"%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99t%e3%83%86%e3%82%b9%e3%83%88","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99t%e3%83%86%e3%82%b9%e3%83%88\/","title":{"rendered":"Pandas \u3067 t \u691c\u5b9a\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5 (3 \u3064\u306e\u4f8b)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001pandas DataFrame \u3092\u4f7f\u7528\u3057\u3066 3 \u3064\u306e\u7570\u306a\u308b t \u691c\u5b9a\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u72ec\u7acb\u3057\u305f 2 \u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a<\/span><\/li>\n<li><span style=\"color: #000000;\">\u30a6\u30a7\u30eb\u30c1\u306e 2 \u30b5\u30f3\u30d7\u30eb t \u691c\u5b9a<\/span><\/li>\n<li><span style=\"color: #000000;\">\u5bfe\u5fdc\u306e\u3042\u308b\u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a<\/span><\/li>\n<\/ul>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 1: pandas \u3067\u306e\u72ec\u7acb\u3057\u305f 2 \u30b5\u30f3\u30d7\u30eb t \u691c\u5b9a<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/2-\u3064\u306e\u30b5\u30f3\u30d5\u309a\u30eb\u3092\u30c6\u30b9\u30c8\u3059\u308b\/\" target=\"_blank\" rel=\"noopener\">\u72ec\u7acb\u3057\u305f 2 \u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a<\/a>\u3092\u4f7f\u7528\u3057\u3066\u30012 \u3064\u306e\u6bcd\u96c6\u56e3\u306e\u5e73\u5747\u304c\u7b49\u3057\u3044\u304b\u3069\u3046\u304b\u3092\u5224\u65ad\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001\u6559\u6388\u304c 2 \u3064\u306e\u7570\u306a\u308b\u52c9\u5f37\u65b9\u6cd5\u306b\u3088\u3063\u3066\u8a66\u9a13\u306e\u5e73\u5747\u70b9\u304c\u7570\u306a\u308b\u304b\u3069\u3046\u304b\u3092\u77e5\u308a\u305f\u3044\u3068\u8003\u3048\u3066\u3044\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u3092\u30c6\u30b9\u30c8\u3059\u308b\u305f\u3081\u306b\u3001\u65b9\u6cd5 A \u3092\u4f7f\u7528\u3059\u308b\u751f\u5f92\u3092 10 \u540d\u3001\u65b9\u6cd5 B \u3092\u4f7f\u7528\u3059\u308b\u751f\u5f92\u3092 10 \u540d\u305a\u3064\u52df\u96c6\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u5404\u751f\u5f92\u306e\u30b9\u30b3\u30a2\u3092 pandas DataFrame \u306b\u5165\u529b\u3057\u3001 <strong>SciPy<\/strong>\u30e9\u30a4\u30d6\u30e9\u30ea\u306e<a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.ttest_ind.html\" target=\"_blank\" rel=\"noopener\">ttest_ind()<\/a>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u72ec\u7acb\u3057\u305f 2 \u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a\u3092\u5b9f\u884c\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<span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> ttest_ind\n\n<span style=\"color: #008080;\">#create pandas DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({'method': ['A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',\n                              'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B'],\n                   'score': [71, 72, 72, 75, 78, 81, 82, 83, 89, 91, 80, 81, 81,\n                             84, 88, 88, 89, 90, 90, 91]})\n\n<span style=\"color: #008080;\">#view first five rows of DataFrame\n<\/span>df. <span style=\"color: #3366ff;\">head<\/span> ()\n\n  method score\n0 to 71\n1 To 72\n2 To 72\n3 to 75\n4 to 78\n\n<span style=\"color: #008080;\">#define samples\n<\/span>group1 = df[df[' <span style=\"color: #ff0000;\">method<\/span> ']==' <span style=\"color: #ff0000;\">A<\/span> ']\ngroup2 = df[df[' <span style=\"color: #ff0000;\">method<\/span> ']==' <span style=\"color: #ff0000;\">B<\/span> ']\n\n<span style=\"color: #008080;\">#perform independent two sample t-test\n<\/span>ttest_ind(group1[' <span style=\"color: #ff0000;\">score<\/span> '], group2[' <span style=\"color: #ff0000;\">score<\/span> '])\n\nTtest_indResult(statistic=-2.6034304605397938, pvalue=0.017969284594810425)\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u7d50\u679c\u304b\u3089\u6b21\u306e\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">t \u691c\u5b9a\u7d71\u8a08\u91cf: \u2013 <strong>2.6034<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">p\u5024: <strong>0.0179<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">p \u5024\u306f 0.05 \u672a\u6e80\u3067\u3042\u308b\u305f\u3081\u3001t \u691c\u5b9a\u306e\u5e30\u7121\u4eee\u8aac\u306f\u68c4\u5374\u3055\u308c\u30012 \u3064\u306e\u65b9\u6cd5\u304c\u7570\u306a\u308b\u8a66\u9a13\u5e73\u5747\u70b9\u306b\u3064\u306a\u304c\u308b\u3053\u3068\u3092\u793a\u3059\u5341\u5206\u306a\u8a3c\u62e0\u304c\u3042\u308b\u3068\u7d50\u8ad6\u4ed8\u3051\u3089\u308c\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: pandas \u3067\u306e\u30a6\u30a7\u30eb\u30c1\u306e t \u691c\u5b9a<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/\u30a6\u30a7\u30eb\u30c1\u306e-t-\u691c\u5b9a\/\" target=\"_blank\" rel=\"noopener\">\u30a6\u30a7\u30eb\u30c1\u306e t \u691c\u5b9a\u306f<\/a>\u3001\u30b5\u30f3\u30d7\u30eb\u306e\u62bd\u51fa\u5143\u3068\u306a\u3063\u305f 2 \u3064\u306e\u6bcd\u96c6\u56e3\u306e<a href=\"https:\/\/statorials.org\/ja\/\u7b49\u5206\u6563\u4eee\u5b9a\/\" target=\"_blank\" rel=\"noopener\">\u5206\u6563\u304c\u7b49\u3057\u3044<\/a>\u3068\u4eee\u5b9a\u3057\u306a\u3044\u3053\u3068\u3092\u9664\u3044\u3066\u3001\u72ec\u7acb\u3057\u305f 2 \u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a\u306b\u4f3c\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u524d\u306e\u4f8b\u3068\u307e\u3063\u305f\u304f\u540c\u3058\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u5bfe\u3057\u3066\u30a6\u30a7\u30eb\u30c1\u306e t \u691c\u5b9a\u3092\u5b9f\u884c\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u3088\u3046\u306b<strong>ttest_ind<\/strong> () \u95a2\u6570\u3067<strong>qual_var=False<\/strong>\u3092\u6307\u5b9a\u3059\u308b\u3060\u3051\u3067\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<span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> ttest_ind\n\n<span style=\"color: #008080;\">#create pandas DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({'method': ['A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',\n                              'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B'],\n                   'score': [71, 72, 72, 75, 78, 81, 82, 83, 89, 91, 80, 81, 81,\n                             84, 88, 88, 89, 90, 90, 91]})\n\n<span style=\"color: #008080;\">#define samples\n<\/span>group1 = df[df[' <span style=\"color: #ff0000;\">method<\/span> ']==' <span style=\"color: #ff0000;\">A<\/span> ']\ngroup2 = df[df[' <span style=\"color: #ff0000;\">method<\/span> ']==' <span style=\"color: #ff0000;\">B<\/span> ']\n\n<span style=\"color: #008080;\">#perform Welch's t-test\n<\/span>ttest_ind(group1[' <span style=\"color: #ff0000;\">score<\/span> '], group2[' <span style=\"color: #ff0000;\">score<\/span> '], equal_var= <span style=\"color: #008000;\">False<\/span> )\n\nTtest_indResult(statistic=-2.603430460539794, pvalue=0.02014688617423973)\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u304b\u3089\u6b21\u306e\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">t \u691c\u5b9a\u7d71\u8a08\u91cf: \u2013 <strong>2.6034<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">p\u5024: <strong>0.0201<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">p \u5024\u306f 0.05 \u672a\u6e80\u3067\u3042\u308b\u305f\u3081\u3001\u30a6\u30a7\u30eb\u30c1\u306e t \u691c\u5b9a\u306e\u5e30\u7121\u4eee\u8aac\u306f\u68c4\u5374\u3055\u308c\u30012 \u3064\u306e\u65b9\u6cd5\u304c\u7570\u306a\u308b\u8a66\u9a13\u5e73\u5747\u70b9\u306b\u3064\u306a\u304c\u308b\u3053\u3068\u3092\u793a\u3059\u5341\u5206\u306a\u8a3c\u62e0\u304c\u3042\u308b\u3068\u7d50\u8ad6\u4ed8\u3051\u3089\u308c\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 3: Pandas \u3067\u306e\u5bfe\u5fdc\u306e\u3042\u308b\u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/\u5bfe\u5fdc\u306e\u3042\u308b\u30b5\u30f3\u30d5\u309a\u30eb\u306e-t-\u691c\u5b9a\/\" target=\"_blank\" rel=\"noopener\">\u5bfe\u5fdc\u306e\u3042\u308b\u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a\u306f\u3001<\/a> 2 \u3064\u306e\u6bcd\u96c6\u56e3\u5e73\u5747\u304c\u7b49\u3057\u3044\u304b\u3069\u3046\u304b\u3092\u5224\u65ad\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u3001\u4e00\u65b9\u306e\u30b5\u30f3\u30d7\u30eb\u306e\u5404\u89b3\u6e2c\u5024\u304c\u3082\u3046\u4e00\u65b9\u306e\u30b5\u30f3\u30d7\u30eb\u306e\u89b3\u6e2c\u5024\u3068\u95a2\u9023\u4ed8\u3051\u3089\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001\u6559\u6388\u304c 2 \u3064\u306e\u7570\u306a\u308b\u52c9\u5f37\u65b9\u6cd5\u306b\u3088\u3063\u3066\u8a66\u9a13\u306e\u5e73\u5747\u70b9\u304c\u7570\u306a\u308b\u304b\u3069\u3046\u304b\u3092\u77e5\u308a\u305f\u3044\u3068\u8003\u3048\u3066\u3044\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u3092\u30c6\u30b9\u30c8\u3059\u308b\u305f\u3081\u306b\u3001\u65b9\u6cd5 A \u3092\u4f7f\u7528\u3057\u3066\u30c6\u30b9\u30c8\u3092\u53d7\u3051\u308b 10 \u4eba\u306e\u5b66\u751f\u3092\u52df\u96c6\u3057\u307e\u3057\u305f\u3002\u6b21\u306b\u3001\u65b9\u6cd5 B \u3092\u4f7f\u7528\u3057\u305f\u540c\u3058 10 \u4eba\u306e\u751f\u5f92\u306b\u3001\u540c\u69d8\u306e\u96e3\u6613\u5ea6\u306e\u5225\u306e\u30c6\u30b9\u30c8\u3092\u6e96\u5099\u3055\u305b\u3001\u53d7\u9a13\u3055\u305b\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3059\u3079\u3066\u306e\u751f\u5f92\u304c\u4e21\u65b9\u306e\u30b5\u30f3\u30d7\u30eb\u306b\u542b\u307e\u308c\u308b\u305f\u3081\u3001\u3053\u306e\u30b7\u30ca\u30ea\u30aa\u3067\u306f\u5bfe\u5fdc\u306e\u3042\u308b\u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a\u3092\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u5404\u751f\u5f92\u306e\u30b9\u30b3\u30a2\u3092 pandas DataFrame \u306b\u5165\u529b\u3057\u3001 <strong>SciPy<\/strong>\u30e9\u30a4\u30d6\u30e9\u30ea\u306e<a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.ttest_rel.html\" target=\"_blank\" rel=\"noopener\">ttest_rel()<\/a>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u5bfe\u5fdc\u306e\u3042\u308b\u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a\u3092\u5b9f\u884c\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<span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> ttest_rel\n\n<span style=\"color: #008080;\">#create pandas DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({'method': ['A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',\n                              'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B'],\n                   'score': [71, 72, 72, 75, 78, 81, 82, 83, 89, 91, 80, 81, 81,\n                             84, 88, 88, 89, 90, 90, 91]})\n\n<span style=\"color: #008080;\">#view first five rows of DataFrame\n<\/span>df. <span style=\"color: #3366ff;\">head<\/span> ()\n\n  method score\n0 to 71\n1 To 72\n2 To 72\n3 to 75\n4 to 78\n\n<span style=\"color: #008080;\">#define samples\n<\/span>group1 = df[df[' <span style=\"color: #ff0000;\">method<\/span> ']==' <span style=\"color: #ff0000;\">A<\/span> ']\ngroup2 = df[df[' <span style=\"color: #ff0000;\">method<\/span> ']==' <span style=\"color: #ff0000;\">B<\/span> ']\n\n<span style=\"color: #008080;\">#perform independent two sample t-test\n<\/span>ttest_rel(group1[' <span style=\"color: #ff0000;\">score<\/span> '], group2[' <span style=\"color: #ff0000;\">score<\/span> '])\n\nTtest_relResult(statistic=-6.162045351967805, pvalue=0.0001662872100210469)\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u304b\u3089\u6b21\u306e\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">t \u691c\u5b9a\u7d71\u8a08\u91cf: \u2013 <strong>6.1620<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">p\u5024: <strong>0.0001<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">p \u5024\u306f 0.05 \u672a\u6e80\u3067\u3042\u308b\u305f\u3081\u3001\u5bfe\u5fdc\u306e\u3042\u308b\u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a\u306e\u5e30\u7121\u4eee\u8aac\u306f\u68c4\u5374\u3055\u308c\u30012 \u3064\u306e\u65b9\u6cd5\u304c\u7570\u306a\u308b\u8a66\u9a13\u5e73\u5747\u70b9\u306b\u3064\u306a\u304c\u308b\u3053\u3068\u3092\u793a\u3059\u5341\u5206\u306a\u8a3c\u62e0\u304c\u3042\u308b\u3068\u7d50\u8ad6\u4ed8\u3051\u3089\u308c\u307e\u3059\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;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/\u30ab\u30a4\u4e8c\u4e57\u72ec\u7acb\u6027\u30c6\u30b9\u30c8python\/\" target=\"_blank\" rel=\"noopener\">Python \u3067\u30ab\u30a4\u4e8c\u4e57\u72ec\u7acb\u6027\u691c\u5b9a\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u4e00\u65b9\u5411\u5206\u6563\u5206\u6790python\/\" target=\"_blank\" rel=\"noopener\">Python \u3067\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u6f01\u5e2b\u306e-python-\u306e\u6b63\u78ba\u306a\u30c6\u30b9\u30c8\/\" target=\"_blank\" rel=\"noopener\">Python \u3067\u30d5\u30a3\u30c3\u30b7\u30e3\u30fc\u306e\u6b63\u78ba\u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6b21\u306e\u4f8b\u306f\u3001pandas DataFrame \u3092\u4f7f\u7528\u3057\u3066 3 \u3064\u306e\u7570\u306a\u308b t \u691c\u5b9a\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002 \u72ec\u7acb\u3057\u305f 2 \u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a \u30a6\u30a7\u30eb\u30c1\u306e 2 \u30b5\u30f3\u30d7\u30eb t \u691c\u5b9a \u5bfe\u5fdc\u306e\u3042\u308b\u30b5\u30f3\u30d7\u30eb\u306e t \u691c\u5b9a \u4f8b  [&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-3125","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast 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