{"id":2871,"date":"2023-07-20T08:04:01","date_gmt":"2023-07-20T08:04:01","guid":{"rendered":"https:\/\/statorials.org\/cn\/matplotlib-aline\/"},"modified":"2023-07-20T08:04:01","modified_gmt":"2023-07-20T08:04:01","slug":"matplotlib-aline","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/matplotlib-aline\/","title":{"rendered":"\u5982\u4f55\u5728 matplotlib \u4e2d\u4f7f\u7528 abline \u51fd\u6570"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R \u4e2d\u7684<a href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u7684-abline\/\" target=\"_blank\" rel=\"noopener\">abline<\/a>\u51fd\u6570\u53ef\u7528\u4e8e\u5411\u8def\u5f84\u6dfb\u52a0\u76f4\u7ebf\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e0d\u5e78\u7684\u662f\uff0cMatplotlib \u4e2d\u4e0d\u5b58\u5728\u8be5\u51fd\u6570\uff0c\u4f46\u6211\u4eec\u53ef\u4ee5\u5b9a\u4e49\u4ee5\u4e0b\u51fd\u6570\u6765\u590d\u5236 Python \u4e2d\u7684 abline \u51fd\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008000;\">def<\/span> <span style=\"color: #0000ff;\">abline<\/span> (slope, intercept):\n    axes = plt. <span style=\"color: #3366ff;\">gca<\/span> ()\n    x_vals = np. <span style=\"color: #3366ff;\">array<\/span> ( <span style=\"color: #3366ff;\">axes.get_xlim<\/span> ())\n    y_vals = intercept + slope * x_vals\n    plt. <span style=\"color: #3366ff;\">plot<\/span> (x_vals, y_vals, '--')\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u901a\u8fc7\u4ee5\u4e0b pandas DataFrame \u4f7f\u7528\u6b64\u8bed\u6cd5\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">x<\/span> ': [1, 1, 2, 3, 4, 4, 5, 6, 7, 7, 8, 9, 10, 11],\n                   ' <span style=\"color: #ff0000;\">y<\/span> ': [13, 14, 17, 12, 23, 24, 25, 25, 24, 28, 32, 33, 35, 40]})\n\n<span style=\"color: #008080;\">#view first five rows of DataFrame\n<\/span>df. <span style=\"color: #3366ff;\">head<\/span> ()\n\n\tx y\n0 1 13\n1 1 14\n2 2 17\n3 3 12\n4 4 23<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 1\uff1a\u4f7f\u7528 Abline \u7ed8\u5236\u6c34\u5e73\u7ebf<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4e0b\u9762\u7684\u4ee3\u7801\u901a\u8fc7\u524d\u9762\u5b9a\u4e49\u7684<strong>abline<\/strong>\u51fd\u6570\u6765\u7ed8\u5236\u4e00\u6761\u6c34\u5e73\u7ebf\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create scatterplot\n<\/span>plt. <span style=\"color: #3366ff;\">scatter<\/span> (df. <span style=\"color: #3366ff;\">x<\/span> , df. <span style=\"color: #3366ff;\">y<\/span> )\n\n<span style=\"color: #008080;\">#add horizontal line at y=30\n<\/span>abline( <span style=\"color: #008000;\">0,30<\/span> <span style=\"color: #008000;\">)<\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-25090 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/abline1-1.jpg\" alt=\"\" width=\"566\" height=\"379\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u7ed3\u679c\u662f y=30 \u5904\u7684\u6c34\u5e73\u7ebf\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 2\uff1a\u4f7f\u7528 aline \u7ed8\u5236\u5177\u6709\u7279\u5b9a\u659c\u7387\u548c\u4ea4\u70b9\u7684\u7ebf<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u7ed8\u5236\u4e00\u6761\u659c\u7387\u4e3a<strong>3<\/strong> \u3001y \u8f74\u622a\u8ddd\u4e3a<strong>15<\/strong>\u7684\u7ebf\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create scatterplot\n<\/span>plt. <span style=\"color: #3366ff;\">scatter<\/span> (df. <span style=\"color: #3366ff;\">x<\/span> , df. <span style=\"color: #3366ff;\">y<\/span> )\n\n<span style=\"color: #008080;\">#add straight line with slope=3 and intercept=15\n<\/span>abline( <span style=\"color: #008000;\">3,15<\/span> <span style=\"color: #008000;\">)<\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-25092 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/abline3-1.jpg\" alt=\"\" width=\"541\" height=\"360\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u7ed3\u679c\u662f\u4e00\u6761\u659c\u7387\u4e3a 3\u3001\u4ea4\u70b9\u4e3a 15 \u7684\u76f4\u7ebf\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 3\uff1a\u4f7f\u7528 abline \u7ed8\u5236\u56de\u5f52\u7ebf<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u4f7f\u7528\u4e4b\u524d\u5b9a\u4e49\u7684<strong>abline<\/strong>\u51fd\u6570\u7ed8\u5236\u56de\u5f52\u7ebf\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate slope and intercept of regression line\n<span style=\"color: #000000;\">slope = np. <span style=\"color: #3366ff;\">polyfit<\/span> (df. <span style=\"color: #3366ff;\">x<\/span> , df. <span style=\"color: #3366ff;\">y<\/span> , 1)[ <span style=\"color: #008000;\">0<\/span> ]<\/span>\n<span style=\"color: #000000;\">intercept = np. <span style=\"color: #3366ff;\">polyfit<\/span> (df. <span style=\"color: #3366ff;\">x<\/span> , df. <span style=\"color: #3366ff;\">y<\/span> , 1)[ <span style=\"color: #008000;\">1<\/span> ]<\/span>\n\n#create scatterplot\n<\/span>plt. <span style=\"color: #3366ff;\">scatter<\/span> (df. <span style=\"color: #3366ff;\">x<\/span> , df. <span style=\"color: #3366ff;\">y<\/span> )\n\n<span style=\"color: #008080;\">#add regression line\n<\/span><span style=\"color: #000000;\">abline(slope, intercept)<\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-25091 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/abline2-1.jpg\" alt=\"\" width=\"544\" height=\"362\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u7ed3\u679c\u662f\u4e00\u6761\u76f4\u63a5\u7a7f\u8fc7\u7ed8\u56fe\u70b9\u7684\u62df\u5408\u56de\u5f52\u7ebf\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6ce8\u610f<\/strong>\uff1a\u60a8\u53ef\u4ee5<a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.polyfit.html\" target=\"_blank\" rel=\"noopener\">\u5728\u6b64\u5904<\/a>\u627e\u5230 NumPy \u4e2d\u7684<strong>polyfit<\/strong>\u51fd\u6570\u7684\u5b8c\u6574\u6587\u6863\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 pandas \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u4efb\u52a1\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/pandas-\u7279\u5b9a\u603b\u548c\u5217\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5bf9 Pandas \u4e2d\u7684\u7279\u5b9a\u5217\u6c42\u548c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u5e26\u6761\u4ef6\u7684\u603b\u548c\u5217\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u6839\u636e Pandas \u4e2d\u7684\u6761\u4ef6\u5bf9\u5217\u6c42\u548c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u53cd\u5411-cumsum\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u8ba1\u7b97pandas\u4e2d\u7684\u53cd\u5411\u7d2f\u79ef\u548c<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R \u4e2d\u7684abline\u51fd\u6570\u53ef\u7528\u4e8e\u5411\u8def\u5f84\u6dfb\u52a0\u76f4\u7ebf\u3002 \u4e0d\u5e78\u7684\u662f\uff0cMatplotlib \u4e2d\u4e0d\u5b58\u5728\u8be5\u51fd\u6570\uff0c\u4f46\u6211\u4eec\u53ef\u4ee5\u5b9a\u4e49 [&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-2871","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 Matplotlib \u4e2d\u4f7f\u7528 abline \u51fd\u6570 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Matplotlib \u4e2d\u521b\u5efa\u7c7b\u4f3c\u4e8e R \u4e2d\u4f7f\u7528\u7684 abline \u51fd\u6570\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/cn\/matplotlib-aline\/\" \/>\n<meta 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