{"id":910,"date":"2023-07-28T08:34:13","date_gmt":"2023-07-28T08:34:13","guid":{"rendered":"https:\/\/statorials.org\/cn\/python-%e8%af%af%e5%b7%ae%e7%ba%bf\/"},"modified":"2023-07-28T08:34:13","modified_gmt":"2023-07-28T08:34:13","slug":"python-%e8%af%af%e5%b7%ae%e7%ba%bf","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/python-%e8%af%af%e5%b7%ae%e7%ba%bf\/","title":{"rendered":"\u5982\u4f55\u5728 python \u4e2d\u5411\u56fe\u8868\u6dfb\u52a0\u8bef\u5dee\u7ebf"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u5728 Python \u4e2d\u7684\u56fe\u5f62\u4e2d\u6dfb\u52a0<strong>\u8bef\u5dee\u7ebf<\/strong>\uff0c\u4ee5\u6355\u83b7\u6d4b\u91cf\u503c\u6216\u8ba1\u7b97\u503c\u7684\u4e0d\u786e\u5b9a\u6027\u3002\u5e78\u8fd0\u7684\u662f\uff0c\u4f7f\u7528 matplotlib \u5e93\u53ef\u4ee5\u8f7b\u677e\u505a\u5230\u8fd9\u4e00\u70b9\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u5728 Python \u4e2d\u5411\u6761\u5f62\u56fe\u548c\u6298\u7ebf\u56fe\u6dfb\u52a0\u8bef\u5dee\u7ebf\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u6761\u5f62\u56fe\u4e2d\u7684\u8bef\u5dee\u7ebf<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u5728Python\u4e2d\u6709\u4ee5\u4e0b10\u4e2a\u503c\u7684\u6570\u636e\u96c6\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#define dataset<\/span>\ndata = [4, 6, 6, 8, 9, 14, 16, 16, 17, 20]<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8981\u4e3a\u6b64\u6570\u636e\u96c6\u521b\u5efa\u5e26\u6709\u8bef\u5dee\u7ebf\u7684\u6761\u5f62\u56fe\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u8bef\u5dee\u7ebf\u7684\u5bbd\u5ea6\u8bbe\u7f6e\u4e3a<strong>\u6807\u51c6\u8bef\u5dee<\/strong>\uff0c\u5176\u8ba1\u7b97\u516c\u5f0f\u4e3a<\/span><strong><br \/><\/strong><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6807\u51c6\u8bef\u5dee = s \/ \u221an<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u91d1\u5b50\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>s\uff1a<\/strong>\u6837\u672c\u6807\u51c6\u5dee<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>n\uff1a<\/strong>\u6837\u672c\u91cf<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u4e86\u5982\u4f55\u8ba1\u7b97\u6b64\u793a\u4f8b\u7684\u6807\u51c6\u8bef\u5dee\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate standard error<\/span>\nstd_error = np.std(data, ddof=1) \/ np.sqrt(len(data))\n\n<span style=\"color: #008080;\">#view standard error<\/span>\nstd_error\n\n1.78\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u5bbd\u5ea6\u7b49\u4e8e\u6807\u51c6\u8bef\u5dee\u7684\u8bef\u5dee\u6761\u521b\u5efa\u6761\u5f62\u56fe\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define chart<\/span> \nfig, ax = plt.subplots()\n\n<span style=\"color: #008080;\">#create chart<\/span>\nax.bar(x=np.arange(len(data)), <span style=\"color: #008080;\">#x-coordinates of bars<\/span>\n       height=data, <span style=\"color: #008080;\">#height of bars<\/span>\n       yerr=std_error, <span style=\"color: #008080;\">#error bar width<\/span>\n       capsize=4) <span style=\"color: #008080;\">#length of error bar caps<\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9718 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/erreur_bar_python1.png\" alt=\"Python \u4e2d\u5e26\u6709\u8bef\u5dee\u7ebf\u7684\u6761\u5f62\u56fe\" width=\"438\" height=\"297\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u6807\u51c6\u8bef\u5dee\u7ed3\u679c\u4e3a<strong>1.78<\/strong> \u3002\u8fd9\u662f\u4ece\u56fe\u8868\u4e0a\u7684\u70b9\u4f30\u8ba1\u503c\u5f00\u59cb\u5411\u4efb\u4e00\u65b9\u5411\u5ef6\u4f38\u7684\u8bef\u5dee\u6761\u7684\u5bbd\u5ea6\u3002\u4f8b\u5982\uff0c\u56fe\u8868\u4e2d\u7b2c\u4e00\u4e2a\u6761\u5f62\u7684\u503c\u4e3a 4\uff0c\u56e0\u6b64\u5b83\u7684\u8bef\u5dee\u6761\u5ef6\u4f38\u81ea\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u4e0b\u7aef\uff1a4 \u2013 178 = <strong>2.22<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u9876\u7aef\uff1a4 + 1.78 = <strong>5.78<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u56fe\u8868\u4e2d\u7684\u6bcf\u4e2a\u8bef\u5dee\u6761\u7684\u5bbd\u5ea6\u76f8\u540c\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u6298\u7ebf\u56fe\u4e2d\u7684\u8bef\u5dee\u7ebf<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u5982\u4f55\u4e3a\u540c\u4e00\u6570\u636e\u96c6\u521b\u5efa\u5e26\u6709\u8bef\u5dee\u7ebf\u7684\u6298\u7ebf\u56fe\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#define data<\/span>\ndata = [4, 6, 6, 8, 9, 14, 16, 16, 17, 20]\n\n<span style=\"color: #008080;\">#define x and y coordinates\n<\/span>x = np.arange(len(data))\ny = data\n\n<span style=\"color: #008080;\">#create line chart with error bars\n<\/span>fig, ax = plt.subplots()\n\nax.errorbar(x, y,\n            yerr=std_error,\n            capsize=4)<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9720 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/erreur_bar_python2.png\" alt=\"Python \u4e2d\u5e26\u6709\u8bef\u5dee\u7ebf\u7684\u6298\u7ebf\u56fe\" width=\"397\" height=\"266\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c <strong>yerr<\/strong>\u53c2\u6570\u544a\u8bc9 Python \u521b\u5efa\u5782\u76f4\u8bef\u5dee\u7ebf\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>xerr<\/strong>\u53c2\u6570\u6765\u4f7f\u7528\u6c34\u5e73\u7ad6\u7ebf\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create line chart with horizontal error bars\n<\/span>fig, ax = plt.subplots()\n\nax.errorbar(x, y,\n            <span style=\"color: #3366ff;\">xerr<\/span> =std_error,\n            capsize=4)<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9721 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/erreur_bar_python3.png\" alt=\"Python \u56fe\u8868\u4e2d\u7684\u8bef\u5dee\u7ebf\" width=\"418\" height=\"289\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\"><em>\u60a8\u53ef\u4ee5<a href=\"https:\/\/statorials.org\/cn\/\u7edf\u8ba1\u5b66\u4ee5\u7b80\u5355\u76f4\u63a5\u7684\u65b9\u5f0f\u89e3\u91ca\u6982\u5ff5\uff0c\u6211\u4eec\u4f7f\u5b66\u4e60\u7edf\u8ba1\u53d8\u5f97\u66f4\u5bb9\u6613\/\" target=\"_blank\" rel=\"noopener\">\u5728\u6b64\u5904<\/a>\u627e\u5230\u66f4\u591a Python \u6559\u7a0b\u3002<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u5728 Python \u4e2d\u7684\u56fe\u5f62\u4e2d\u6dfb\u52a0\u8bef\u5dee\u7ebf\uff0c\u4ee5\u6355\u83b7\u6d4b\u91cf\u503c\u6216\u8ba1\u7b97\u503c\u7684\u4e0d\u786e\u5b9a\u6027\u3002\u5e78\u8fd0\u7684\u662f\uff0c\u4f7f\u7528 mat [&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-910","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\u5411\u56fe\u8868\u6dfb\u52a0\u8bef\u5dee\u7ebf - Statorials<\/title>\n<meta name=\"description\" content=\"\u5173\u4e8e\u5982\u4f55\u5728 Python \u4e2d\u5411\u56fe\u8868\u6dfb\u52a0\u8bef\u5dee\u7ebf\u7684\u7b80\u5355\u8bf4\u660e\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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