{"id":1558,"date":"2023-07-25T21:43:21","date_gmt":"2023-07-25T21:43:21","guid":{"rendered":"https:\/\/statorials.org\/cn\/python-%e4%b8%ad%e7%9a%84%e4%ba%92%e7%9b%b8%e5%85%b3\/"},"modified":"2023-07-25T21:43:21","modified_gmt":"2023-07-25T21:43:21","slug":"python-%e4%b8%ad%e7%9a%84%e4%ba%92%e7%9b%b8%e5%85%b3","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/python-%e4%b8%ad%e7%9a%84%e4%ba%92%e7%9b%b8%e5%85%b3\/","title":{"rendered":"\u5982\u4f55\u7528 python \u8ba1\u7b97\u4e92\u76f8\u5173"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u4e92\u76f8\u5173<\/strong>\u662f\u8861\u91cf\u4e00\u4e2a\u65f6\u95f4\u5e8f\u5217\u4e0e\u53e6\u4e00\u4e2a\u65f6\u95f4\u5e8f\u5217\u7684\u6ede\u540e\u7248\u672c\u4e4b\u95f4\u76f8\u4f3c\u7a0b\u5ea6\u7684\u65b9\u6cd5\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8fd9\u79cd\u7c7b\u578b\u7684\u76f8\u5173\u6027\u5bf9\u4e8e\u8ba1\u7b97\u5f88\u6709\u7528\uff0c\u56e0\u4e3a\u5b83\u53ef\u4ee5\u544a\u8bc9\u6211\u4eec\u4e00\u4e2a\u65f6\u95f4\u5e8f\u5217\u4e2d\u7684\u503c\u662f\u5426\u53ef\u4ee5\u9884\u6d4b\u53e6\u4e00\u4e2a\u65f6\u95f4\u5e8f\u5217\u4e2d\u7684\u672a\u6765\u503c\u3002<\/span><span style=\"color: #000000;\">\u6362\u53e5\u8bdd\u8bf4\uff0c\u5b83\u53ef\u4ee5\u544a\u8bc9\u6211\u4eec\u4e00\u4e2a\u65f6\u95f4\u5e8f\u5217\u662f\u5426\u662f\u53e6\u4e00\u4e2a\u65f6\u95f4\u5e8f\u5217\u7684\u9886\u5148\u6307\u6807\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8fd9\u79cd\u7c7b\u578b\u7684\u76f8\u5173\u6027\u7528\u4e8e\u8bb8\u591a\u4e0d\u540c\u7684\u9886\u57df\uff0c\u5305\u62ec\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u4f01\u4e1a\uff1a<\/strong>\u8425\u9500\u652f\u51fa\u901a\u5e38\u88ab\u8ba4\u4e3a\u662f\u672a\u6765\u4e1a\u52a1\u6536\u5165\u7684\u9886\u5148\u6307\u6807\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4e00\u5bb6\u516c\u53f8\u5728\u4e00\u4e2a\u5b63\u5ea6\u7684\u8425\u9500\u4e0a\u82b1\u8d39\u4e86\u5f02\u5e38\u9ad8\u7684\u8d44\u91d1\uff0c\u90a3\u4e48<em>x \u4e2a<\/em>\u5b63\u5ea6\u540e\u7684\u603b\u6536\u5165\u5e94\u8be5\u4f1a\u5f88\u9ad8\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u7ecf\u6d4e\uff1a<\/strong>\u6d88\u8d39\u8005\u4fe1\u5fc3\u6307\u6570\uff08CCI\uff09\u88ab\u8ba4\u4e3a\u662f\u4e00\u4e2a\u56fd\u5bb6\u56fd\u5185\u751f\u4ea7\u603b\u503c\uff08GDP\uff09\u7684\u9886\u5148\u6307\u6807\u3002\u4f8b\u5982\uff0c\u5982\u679c\u67d0\u6708 CCI \u8f83\u9ad8\uff0c\u5219<em>X \u4e2a<\/em>\u6708\u540e GDP \u53ef\u80fd\u4f1a\u66f4\u9ad8\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728Python\u4e2d\u8ba1\u7b97\u4e24\u4e2a\u65f6\u95f4\u5e8f\u5217\u4e4b\u95f4\u7684\u4e92\u76f8\u5173\u6027\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u5982\u4f55\u7528 Python \u8ba1\u7b97\u4e92\u76f8\u5173<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b Python \u65f6\u95f4\u5e8f\u5217\uff0c\u663e\u793a\u67d0\u516c\u53f8\u8fde\u7eed 12 \u4e2a\u6708\u7684\u603b\u8425\u9500\u652f\u51fa\uff08\u4ee5\u5343\u4e3a\u5355\u4f4d\uff09\u4ee5\u53ca\u603b\u6536\u5165\uff08\u4ee5\u5343\u4e3a\u5355\u4f4d\uff09\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#define data<\/span> \nmarketing = n.p. <span style=\"color: #3366ff;\">array<\/span> ([3, 4, 5, 5, 7, 9, 13, 15, 12, 10, 8, 8])\nincome = np. <span style=\"color: #3366ff;\">array<\/span> ([21, 19, 22, 24, 25, 29, 30, 34, 37, 40, 35, 30])<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<a href=\"https:\/\/www.statsmodels.org\/stable\/generated\/statsmodels.tsa.stattools.ccf.html\" target=\"_blank\" rel=\"noopener\">statsmodels \u5305<\/a>\u4e2d\u7684<b>ccf()<\/b>\u51fd\u6570\u8ba1\u7b97\u4e24\u4e2a\u65f6\u95f4\u5e8f\u5217\u4e4b\u95f4\u6bcf\u4e2a\u6ede\u540e\u7684\u4e92\u76f8\u5173\u6027\uff0c\u5982\u4e0b\u6240\u793a\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> statsmodels. <span style=\"color: #3366ff;\">api<\/span> <span style=\"color: #008000;\">as<\/span> sm\n\n<span style=\"color: #008080;\">#calculate cross correlation\n<\/span>sm. <span style=\"color: #3366ff;\">tsa<\/span> . <span style=\"color: #3366ff;\">stattools<\/span> . <span style=\"color: #3366ff;\">ccf<\/span> (marketing, revenue, adjusted= <span style=\"color: #008000;\">False<\/span> )\n\narray([ 0.77109358, 0.46238654, 0.19352232, -0.06066296, -0.28159595,\n       -0.44531104, -0.49159463, -0.35783655, -0.15697476, -0.03430078,\n        0.01587722, 0.0070399 ])<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u662f\u5982\u4f55\u89e3\u91ca\u6b64\u8f93\u51fa\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u6ede\u540e 0 \u5904\u7684\u4e92\u76f8\u5173\u4e3a<strong>0.771<\/strong> \u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u6ede\u540e 1 \u5904\u7684\u4e92\u76f8\u5173\u4e3a<strong>0.462<\/strong> \u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u6ede\u540e 2 \u5904\u7684\u4e92\u76f8\u5173\u4e3a<strong>0.194<\/strong> \u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u6ede\u540e 3 \u5904\u7684\u4e92\u76f8\u5173\u4e3a<strong>-0.061<\/strong> \u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u7b49\u7b49\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u968f\u7740\u6ede\u540e\u6570\u7684\u589e\u52a0\uff0c\u4e24\u4e2a\u65f6\u95f4\u5e8f\u5217\u4e4b\u95f4\u7684\u6b63\u76f8\u5173\u6027\u53d8\u5f97\u8d8a\u6765\u8d8a\u5f31\u3002\u8fd9\u544a\u8bc9\u6211\u4eec\uff0c\u7ed9\u5b9a\u6708\u4efd\u7684\u8425\u9500\u652f\u51fa\u53ef\u4ee5\u5f88\u597d\u5730\u9884\u6d4b\u4e00\u4e24\u4e2a\u6708\u540e\u7684\u6536\u5165\uff0c\u4f46\u4e0d\u80fd\u9884\u6d4b\u4e24\u4e2a\u6708\u540e\u7684\u6536\u5165\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8fd9\u5177\u6709\u76f4\u89c2\u610f\u4e49\uff1a\u6211\u4eec\u9884\u8ba1\u7ed9\u5b9a\u6708\u4efd\u7684\u9ad8\u8425\u9500\u652f\u51fa\u53ef\u4ee5\u9884\u6d4b\u672a\u6765\u4e24\u4e2a\u6708\u7684\u6536\u5165\u589e\u52a0\uff0c\u4f46\u4e0d\u4e00\u5b9a\u4f1a\u5728\u672a\u6765\u51e0\u4e2a\u6708\u5185\u589e\u52a0\u6536\u5165\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u81ea\u76f8\u5173-python\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u7528 Python \u8ba1\u7b97\u81ea\u76f8\u5173<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u504f\u76f8\u5173python\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728Python\u4e2d\u8ba1\u7b97\u504f\u76f8\u5173<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/python-\u70b9\u53cc\u5217\u76f8\u5173\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Python \u4e2d\u8ba1\u7b97\u70b9\u53cc\u5217\u76f8\u5173\u6027<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4e92\u76f8\u5173\u662f\u8861\u91cf\u4e00\u4e2a\u65f6\u95f4\u5e8f\u5217\u4e0e\u53e6\u4e00\u4e2a\u65f6\u95f4\u5e8f\u5217\u7684\u6ede\u540e\u7248\u672c\u4e4b\u95f4\u76f8\u4f3c\u7a0b\u5ea6\u7684\u65b9\u6cd5\u3002 \u8fd9\u79cd\u7c7b\u578b\u7684\u76f8\u5173\u6027\u5bf9\u4e8e\u8ba1\u7b97\u5f88\u6709\u7528\uff0c\u56e0\u4e3a\u5b83 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-1558","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5982\u4f55\u5728 Python \u4e2d\u8ba1\u7b97\u4e92\u76f8\u5173 - \u7edf\u8ba1\u5b66<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Python \u4e2d\u8ba1\u7b97\u4e92\u76f8\u5173\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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