{"id":1188,"date":"2023-07-27T08:55:04","date_gmt":"2023-07-27T08:55:04","guid":{"rendered":"https:\/\/statorials.org\/cn\/matplotlib%e8%83%8c%e6%99%af%e9%a2%9c%e8%89%b2\/"},"modified":"2023-07-27T08:55:04","modified_gmt":"2023-07-27T08:55:04","slug":"matplotlib%e8%83%8c%e6%99%af%e9%a2%9c%e8%89%b2","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/matplotlib%e8%83%8c%e6%99%af%e9%a2%9c%e8%89%b2\/","title":{"rendered":"\u5982\u4f55\u5728 matplotlib \u4e2d\u66f4\u6539\u80cc\u666f\u989c\u8272\uff08\u9644\u793a\u4f8b\uff09"},"content":{"rendered":"

<\/p>\n

\n

\u5728 Matplotlib \u4e2d\u66f4\u6539\u7ed8\u56fe\u80cc\u666f\u989c\u8272\u7684\u6700\u7b80\u5355\u65b9\u6cd5\u662f\u4f7f\u7528set_facecolor()<\/strong>\u53c2\u6570\u3002<\/span><\/p>\n

\u5982\u679c\u60a8\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u5728 Matplotlib \u4e2d\u5b9a\u4e49\u56fe\u5f62\u548c\u8f74\uff1a<\/span><\/p>\n

 fig, ax = plt. subplots<\/span> ()\n<\/strong><\/pre>\n
\u7136\u540e\u60a8\u53ef\u4ee5\u7b80\u5355\u5730\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u5b9a\u4e49\u7ed8\u56fe\u7684\u80cc\u666f\u989c\u8272\uff1a<\/span><\/p>\n
 ax. set_facecolor<\/span> (' pink<\/span> ')\n<\/strong><\/pre>\n
\u672c\u6559\u7a0b\u63d0\u4f9b\u4e86\u8be5\u529f\u80fd\u5b9e\u9645\u4f7f\u7528\u7684\u51e0\u4e2a\u793a\u4f8b\u3002<\/span><\/p>\n
\u793a\u4f8b 1\uff1a\u4f7f\u7528\u989c\u8272\u540d\u79f0\u8bbe\u7f6e\u80cc\u666f\u989c\u8272<\/strong><\/span><\/h3>\n
\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u989c\u8272\u540d\u79f0\u8bbe\u7f6e Matplotlib \u56fe\u7684\u80cc\u666f\u989c\u8272\uff1a<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define plot figure and axis\n<\/span>fig, ax = plt. subplots<\/span> ()\n\n#define two arrays for plotting\n<\/span>A = [3, 5, 5, 6, 7, 8]\nB = [12, 14, 17, 20, 22, 27]\n\n#create scatterplot and specify background color to be pink\n<\/span>ax. scatter<\/span> (A, B)\nax. set_facecolor<\/span> (' pink<\/span> ')\n\n#display scatterplot<\/span>\nplt. show<\/span> ()<\/strong> <\/pre>\n
\"Matplotlib<\/p>\n
\u793a\u4f8b2\uff1a\u4f7f\u7528\u5341\u516d\u8fdb\u5236\u989c\u8272\u4ee3\u7801\u8bbe\u7f6e\u80cc\u666f\u989c\u8272<\/strong><\/span><\/h3>\n
\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u5982\u4f55\u4f7f\u7528\u5341\u516d\u8fdb\u5236\u989c\u8272\u4ee3\u7801\u8bbe\u7f6e Matplotlib \u56fe\u7684\u80cc\u666f\u989c\u8272\uff1a<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define plot figure and axis\n<\/span>fig, ax = plt. subplots<\/span> ()\n\n#define two arrays for plotting\n<\/span>A = [3, 5, 5, 6, 7, 8]\nB = [12, 14, 17, 20, 22, 27]\n\n#create scatterplot and specify background color to be pink\n<\/span>ax. scatter<\/span> (A, B)\nax. set_facecolor<\/span> (' #33FFA2<\/span> ')\n\n#display scatterplot<\/span>\nplt. show<\/span> ()<\/strong> <\/pre>\n
\"\u4f7f\u7528\u5341\u516d\u8fdb\u5236\u989c\u8272\u4ee3\u7801\u7684<\/p>\n
\u793a\u4f8b 3\uff1a\u8bbe\u7f6e\u7279\u5b9a\u5b50\u56fe\u7684\u80cc\u666f\u989c\u8272<\/strong><\/span><\/h3>\n
\u6709\u65f6\u60a8\u4f1a\u6709\u591a\u4e2a Matplotlib \u56fe\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u6307\u5b9a\u5355\u4e2a\u56fe\u7684\u80cc\u666f\u989c\u8272\uff1a<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define subplots\n<\/span>fig, ax = plt. subplots<\/span> (2, 2)\nfig. tight_layout<\/span> ()\n\n#define background color to use for each subplot\n<\/span>ax[0,0]. set_facecolor<\/span> (' blue<\/span> ')\nax[0,1]. set_facecolor<\/span> (' pink<\/span> ')\nax[1,0]. set_facecolor<\/span> (' green<\/span> ')\nax[1,1]. set_facecolor<\/span> (' red<\/span> ')\n\n#display subplots<\/span>\nplt. show<\/span> ()<\/strong> <\/pre>\n
\"\u4e0d\u540c\u80cc\u666f\u7684<\/p>\n
\u76f8\u5173\uff1a<\/strong><\/span> \u5982\u4f55\u8c03\u6574 Matplotlib \u5b50\u56fe\u4e4b\u95f4\u7684\u95f4\u8ddd<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u5728 Matplotlib \u4e2d\u66f4\u6539\u7ed8\u56fe\u80cc\u666f\u989c\u8272\u7684\u6700\u7b80\u5355\u65b9\u6cd5\u662f\u4f7f\u7528set_facecolor()\u53c2\u6570\u3002 \u5982\u679c\u60a8\u4f7f\u7528 […]<\/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-1188","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u5728 Matplotlib \u4e2d\u66f4\u6539\u80cc\u666f\u989c\u8272\uff08\u9644\u793a\u4f8b\uff09<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u66f4\u6539 Matplotlib \u4e2d\u56fe\u5f62\u7684\u80cc\u666f\u989c\u8272\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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