{"id":3273,"date":"2023-07-18T08:46:01","date_gmt":"2023-07-18T08:46:01","guid":{"rendered":"https:\/\/statorials.org\/cn\/matplotlib-%e5%b9%b3%e5%9d%87%e7%ba%bf\/"},"modified":"2023-07-18T08:46:01","modified_gmt":"2023-07-18T08:46:01","slug":"matplotlib-%e5%b9%b3%e5%9d%87%e7%ba%bf","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/matplotlib-%e5%b9%b3%e5%9d%87%e7%ba%bf\/","title":{"rendered":"\u5982\u4f55\u5728 matplotlib \u4e2d\u6dfb\u52a0\u5e73\u5747\u7ebf"},"content":{"rendered":"

<\/p>\n

\n

\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5c06\u5e73\u5747\u7ebf\u6dfb\u52a0\u5230 Matplotlib \u4e2d\u7684\u7ed8\u56fe\u4e2d\uff1a<\/span><\/p>\n

 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> numpy as<\/span> np\n\n#create scatterplot\n<\/span>plt. scatter<\/span> (df. x<\/span> , df. y<\/span> )\n\n#add horizontal line at mean value of y\n<\/span>plt. axhline<\/span> (y=np. nanmean<\/span> (df. y<\/span> ))\n<\/strong><\/pre>\n
\u8bf7\u6ce8\u610f\uff0c axhline<\/strong>\u5728\u56fe\u4e2d\u6dfb\u52a0\u4e86\u4e00\u6761\u6c34\u5e73\u7ebf\uff0c nanmean<\/strong>\u8ba1\u7b97\u5e94\u653e\u7f6e\u8be5\u7ebf\u7684\u5e73\u5747\u503c\uff08\u5ffd\u7565 NaN\uff09\u3002<\/span><\/p>\n
\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u8bed\u6cd5\u3002<\/span><\/p>\n
\u793a\u4f8b\uff1a\u5728 Matplotlib \u4e2d\u6dfb\u52a0\u4e00\u6761\u5e73\u5747\u7ebf<\/strong><\/span><\/h2>\n
\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\uff1a<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' x<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12],\n                   ' y<\/span> ':[2, 5, 6, 5, 7, 8, 10, 12, 10, 9, 11, 15]})\n\n#view first five rows of DataFrame\n<\/span>df. head<\/span> ()\n\n\tx y\n0 1 2\n1 2 5\n2 3 6\n3 4 5\n4 5 7<\/strong><\/span><\/pre>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u521b\u5efa x \u4e0e y \u7684\u6563\u70b9\u56fe\uff0c\u5e76\u6dfb\u52a0\u8868\u793a\u5e73\u5747 y \u503c\u7684\u6c34\u5e73\u7ebf\uff1a<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> numpy as<\/span> np\n\n#create scatterplot\n<\/span>plt. scatter<\/span> (df. x<\/span> , df. y<\/span> )\n\n#add horizontal line at mean value of y\n<\/span>plt. axhline<\/span> (y=np. nanmean<\/span> (df. y<\/span> ))<\/strong> <\/pre>\n
\"\"<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u4e00\u6761\u5e73\u5747\u7ebf\u5df2\u6dfb\u52a0\u5230\u56fe\u4e2d y \u503c 8 \u7684\u4e0a\u65b9\u3002<\/span><\/p>\n
\u5982\u679c\u6211\u4eec\u8ba1\u7b97\u5e73\u5747 y \u503c\uff0c\u6211\u4eec\u4f1a\u53d1\u73b0\u5b83\u662f 8.333\uff1a<\/span><\/p>\n
 #calculate average y-value<\/span>\nn.p. nanmean<\/span> (df. y<\/span> )\n\n8.333333333\n<\/strong><\/pre>\n
\u8bf7\u6ce8\u610f\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528color<\/strong> \u3001 linestyle<\/strong>\u548clinewidth<\/strong>\u53c2\u6570\u5206\u522b\u6307\u5b9a\u5e73\u5747\u7ebf\u7684\u989c\u8272\u3001\u7ebf\u578b\u548c\u7ebf\u5bbd\uff1a<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> numpy as<\/span> np\n\n#create scatterplot\n<\/span>plt. scatter<\/span> (df. x<\/span> , df. y<\/span> )\n\n#add horizontal line at mean value of y\n<\/span>plt. axhline<\/span> (y=np. nanmean<\/span> (df. y<\/span> ), color=' red<\/span> ', linestyle=' --<\/span> ', linewidth= 3<\/span> , label=' Avg<\/span> ')<\/strong> <\/pre>\n
\"Matplotlib<\/p>\n
\u6ce8\u610f<\/strong>\uff1a\u60a8\u53ef\u4ee5\u5728\u6b64\u5904<\/a>\u627e\u5230axhline()<\/strong>\u51fd\u6570\u7684\u5b8c\u6574\u5728\u7ebf\u6587\u6863\u3002<\/span><\/p>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n
\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Matplotlib \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u4efb\u52a1\uff1a<\/span><\/p>\n
\u5982\u4f55\u5728 Matplotlib \u4e2d\u6dfb\u52a0\u8d8b\u52bf\u7ebf<\/a>
\u5982\u4f55\u5728Matplotlib\u4e2d\u7ed8\u5236\u5782\u76f4\u7ebf<\/a>
\u5982\u4f55\u5728 Matplotlib \u4e2d\u7ed8\u5236\u591a\u6761\u7ebf<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5c06\u5e73\u5747\u7ebf\u6dfb\u52a0\u5230 Matplotlib \u4e2d\u7684\u7ed8\u56fe\u4e2d\uff1a import matplotlib. […]<\/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-3273","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u5728 Matplotlib \u4e2d\u5411\u7ed8\u56fe\u6dfb\u52a0\u5e73\u5747\u7ebf - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Matplotlib \u4e2d\u5411\u56fe\u4e2d\u6dfb\u52a0\u5e73\u5747\u7ebf\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-\u5e73\u5747\u7ebf\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5982\u4f55\u5728 Matplotlib \u4e2d\u5411\u7ed8\u56fe\u6dfb\u52a0\u5e73\u5747\u7ebf - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Matplotlib \u4e2d\u5411\u56fe\u4e2d\u6dfb\u52a0\u5e73\u5747\u7ebf\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/cn\/matplotlib-\u5e73\u5747\u7ebf\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-18T08:46:01+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/avglinemat1.jpg\" \/>\n<meta name=\"author\" content=\"\u672c\u6770\u660e\u00b7\u5b89\u5fb7\u68ee\u535a\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u672c\u6770\u660e\u00b7\u5b89\u5fb7\u68ee\u535a\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/cn\/matplotlib-%e5%b9%b3%e5%9d%87%e7%ba%bf\/\",\"url\":\"https:\/\/statorials.org\/cn\/matplotlib-%e5%b9%b3%e5%9d%87%e7%ba%bf\/\",\"name\":\"\u5982\u4f55\u5728 Matplotlib \u4e2d\u5411\u7ed8\u56fe\u6dfb\u52a0\u5e73\u5747\u7ebf - 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