{"id":560,"date":"2020-02-25T23:00:15","date_gmt":"2020-02-25T14:00:15","guid":{"rendered":"https:\/\/obgyn.jp\/?p=560"},"modified":"2022-03-13T19:51:50","modified_gmt":"2022-03-13T10:51:50","slug":"poisson","status":"publish","type":"post","link":"https:\/\/obgyn.jp\/?p=560","title":{"rendered":"Python \u306b\u3088\u308b\u30dd\u30ef\u30bd\u30f3\u56de\u5e30\u5206\u6790"},"content":{"rendered":"\n<p><a href=\"https:\/\/www.statsmodels.org\/dev\/generated\/statsmodels.formula.api.glm.html\" rel=\"noopener noreferrer\" target=\"_blank\">statsmodels.formula.api.glm()<\/a> \u30b3\u30de\u30f3\u30c9\u3067\u30dd\u30ef\u30bd\u30f3\u56de\u5e30\u5206\u6790\u3092\u884c\u3046\u3002<a href=\"https:\/\/www.statsmodels.org\/stable\/glm.html\" rel=\"noopener noreferrer\" target=\"_blank\">\u4e00\u822c\u5316\u7dda\u5f62\u30e2\u30c7\u30eb<\/a>\u3068\u3057\u3066\u884c\u3046\u3002<\/p>\n\n\n\n<p>Python \u3092\u8d77\u52d5\u3057\u3001\u5fc5\u8981\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3092 import \u3059\u308b\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">import pandas as pd\nimport statsmodels.formula.api as smf\nimport statsmodels.api as sm<\/pre>\n\n\n\n<p>\u901a\u5e38\u306f Excel \u7b49\u3067\u4f5c\u6210\u3057\u305f CSV \u30d5\u30a1\u30a4\u30eb\u3092 pandas \u306b\u8aad\u307f\u8fbc\u3093\u3067\u5206\u6790\u3059\u308b\u3002\u3057\u304b\u3057\u3001\u3053\u3053\u3067\u306f\u4fbf\u5b9c\u7684\u306b\u4ee5\u4e0b\u306e\u7c21\u5358\u306a\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u4f5c\u6210\u3057\u3001data \u3068\u3044\u3046\u5909\u6570\u306b\u683c\u7d0d\u3057\u3066\u304a\u304f\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">data = pd.DataFrame({\"\u5e74\":[\"X\",\"X+1\",\"X+2\",\"X+3\",\"X+4\",\"X+5\",\"X+6\",\"X+7\",\"X+8\",\"X+9\"], \"\u91cd\u5927\u30a4\u30f3\u30b7\u30c7\u30f3\u30c8\u6570\":[5,3,4,4,5,0,1,0,0,0], \"\u6b8b\u696d80\u6642\u9593\u4ee5\u4e0a\u306e\u533b\u5e2b\u6570\":[50,40,41,30,31,7,8,7,6,5], \"\u30bf\u30a4\u30e0\u30a2\u30a6\u30c8\u306e\u5c0e\u5165\":[\"no\",\"no\",\"yes\",\"yes\",\"yes\",\"yes\",\"yes\",\"yes\",\"yes\",\"yes\"]})<\/pre>\n\n\n\n<p>data \u306e\u5185\u5bb9\u3092\u78ba\u8a8d\u3059\u308b\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">data<\/pre>\n\n\n\n<p><a href=\"https:\/\/www.statsmodels.org\/dev\/generated\/statsmodels.formula.api.glm.html\" rel=\"noopener noreferrer\" target=\"_blank\">statsmodels.formula.api.glm()<\/a> \u30b3\u30de\u30f3\u30c9\u3067\u30dd\u30ef\u30bd\u30f3\u56de\u5e30\u5206\u6790\u3092\u884c\u3046\u3002\u30ea\u30f3\u30af\u95a2\u6570\u306f\u5bfe\u6570\u95a2\u6570\u304c\u81ea\u52d5\u7684\u306b\u9078\u629e\u3055\u308c\u308b\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">result = smf.glm(formula = \"\u91cd\u5927\u30a4\u30f3\u30b7\u30c7\u30f3\u30c8\u6570 ~ \u6b8b\u696d80\u6642\u9593\u4ee5\u4e0a\u306e\u533b\u5e2b\u6570 + \u30bf\u30a4\u30e0\u30a2\u30a6\u30c8\u306e\u5c0e\u5165\", data = data, family = sm.families.Poisson()).fit()\nresult.summary() #\u7d50\u679c\u306e\u8868\u793a\nresult.aic #\u8d64\u6c60\u60c5\u5831\u91cf\u57fa\u6e96<\/pre>\n","protected":false},"excerpt":{"rendered":"<p>statsmodels.formula.api.glm() \u30b3\u30de\u30f3\u30c9\u3067\u30dd\u30ef\u30bd\u30f3\u56de\u5e30\u5206\u6790\u3092\u884c\u3046\u3002\u4e00\u822c\u5316\u7dda\u5f62\u30e2\u30c7\u30eb\u3068\u3057\u3066\u884c\u3046\u3002 Python \u3092\u8d77\u52d5\u3057\u3001\u5fc5\u8981\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3092 import \u3059\u308b\u3002 \u901a\u5e38\u306f Excel \u7b49\u3067\u4f5c\u6210\u3057 &hellip; <a href=\"https:\/\/obgyn.jp\/?p=560\" class=\"more-link\">\u7d9a\u304d\u3092\u8aad\u3080 <span class=\"screen-reader-text\">Python \u306b\u3088\u308b\u30dd\u30ef\u30bd\u30f3\u56de\u5e30\u5206\u6790<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[18,19,36],"class_list":["post-560","post","type-post","status-publish","format-standard","hentry","category-data-science","tag-multivariate","tag-model","tag-python"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/obgyn.jp\/index.php?rest_route=\/wp\/v2\/posts\/560","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/obgyn.jp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/obgyn.jp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/obgyn.jp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/obgyn.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=560"}],"version-history":[{"count":19,"href":"https:\/\/obgyn.jp\/index.php?rest_route=\/wp\/v2\/posts\/560\/revisions"}],"predecessor-version":[{"id":997,"href":"https:\/\/obgyn.jp\/index.php?rest_route=\/wp\/v2\/posts\/560\/revisions\/997"}],"wp:attachment":[{"href":"https:\/\/obgyn.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=560"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/obgyn.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=560"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/obgyn.jp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=560"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}