{"id":176,"date":"2024-01-18T02:39:36","date_gmt":"2024-01-17T18:39:36","guid":{"rendered":"https:\/\/blog.huohh.cn\/?p=176"},"modified":"2024-01-18T04:22:36","modified_gmt":"2024-01-17T20:22:36","slug":"matlab%e4%ba%8c%e7%bb%b4%e5%b9%b3%e9%9d%a2%e7%bb%98%e5%9b%be","status":"publish","type":"post","link":"https:\/\/blog.huohh.cn\/?p=176","title":{"rendered":"MATLAB\u4e8c\u7ef4\u5e73\u9762\u7ed8\u56fe"},"content":{"rendered":"\n
x = 0:0.01:2*pi;\ny = sin(x);\nfigure   % \u521b\u5efa\u4e00\u4e2a\u5e55\u5e03\nplot(x,y)   % \u7ed8\u5236\u4e8c\u7ef4\u5e73\u9762\u56fe\ntitle('\u6807\u9898')\nxlabel('x')\nylabel('y')\nxlim([0 2*pi])   % \u8bbe\u7f6ex\u8f74\u7684\u663e\u793a\u8303\u56f4\u4ece0\u52302*pi<\/code><\/pre>\n\n\n\n
\u4fee\u6539\u989c\u8272<\/strong>\uff1a\u4f60\u53ef\u4ee5\u901a\u8fc7\u5728plot<\/code>\u51fd\u6570\u4e2d\u8bbe\u7f6e'color'<\/code>\u53c2\u6570\u6765\u6307\u5b9a\u7ebf\u7684\u989c\u8272\u3002\u989c\u8272\u53ef\u4ee5\u4f7f\u7528\u5b57\u7b26\u4e32\u8868\u793a\uff0c\u4f8b\u5982'r'<\/code>\u8868\u793a\u7ea2\u8272\uff0c'b'<\/code>\u8868\u793a\u84dd\u8272\uff0c\u7b49\u7b49\u3002<\/p>\n\n\n\n
plot(x, y, 'color', 'r') % \u8fd9\u4f1a\u5c06\u7ebf\u7684\u989c\u8272\u8bbe\u7f6e\u4e3a\u7ea2\u8272\n<\/code><\/pre>\n\n\n\n
\u4fee\u6539\u7ebf\u578b<\/strong>\uff1a\u4f60\u53ef\u4ee5\u901a\u8fc7\u5728plot<\/code>\u51fd\u6570\u4e2d\u8bbe\u7f6e'linestyle'<\/code>\u53c2\u6570\u6765\u6307\u5b9a\u7ebf\u7684\u7c7b\u578b\u3002\u5e38\u89c1\u7684\u7ebf\u578b\u5305\u62ec\u5b9e\u7ebf('-'<\/code>)\u3001\u865a\u7ebf('--'<\/code>)\u3001\u70b9\u7ebf(':'<\/code>)\u7b49\u7b49\u3002<\/p>\n\n\n\n
plot(x, y, 'linestyle', '--') % \u8fd9\u4f1a\u5c06\u7ebf\u578b\u8bbe\u7f6e\u4e3a\u865a\u7ebf<\/code><\/pre>\n\n\n\n
\u4fee\u6539\u6570\u636e\u6807\u8bb0\u70b9<\/strong>\uff1a\u4f60\u53ef\u4ee5\u901a\u8fc7\u5728plot<\/code>\u51fd\u6570\u4e2d\u8bbe\u7f6e'marker'<\/code>\u53c2\u6570\u6765\u6307\u5b9a\u6570\u636e\u70b9\u7684\u6807\u8bb0\u6837\u5f0f\u3002\u6807\u8bb0\u6837\u5f0f\u53ef\u4ee5\u662f\u5706\u70b9('o'<\/code>)\u3001\u65b9\u5757('s'<\/code>)\u3001\u661f\u53f7('*'<\/code>)\u7b49\u7b49\u3002<\/p>\n\n\n\n
plot(x, y, 'marker', 'o') % \u8fd9\u4f1a\u5728\u6570\u636e\u70b9\u5904\u6dfb\u52a0\u5706\u70b9\u6807\u8bb0\n<\/code><\/pre>\n\n\n\n
\u4f60\u8fd8\u53ef\u4ee5\u7ec4\u5408\u4f7f\u7528\u8fd9\u4e9b\u53c2\u6570\u6765\u521b\u5efa\u81ea\u5b9a\u4e49\u7684\u56fe\u5f62\uff0c\u4f8b\u5982\u8bbe\u7f6e\u7ea2\u8272\u865a\u7ebf\u5e76\u5728\u6570\u636e\u70b9\u5904\u6dfb\u52a0\u84dd\u8272\u661f\u53f7\u6807\u8bb0\uff1a<\/p>\n\n\n\n
plot(x, y, 'color', 'r', 'linestyle', '--', 'marker', '*')\n<\/code><\/pre>\n\n\n\n
\u4f8b\u5b50<\/strong>\uff08\u65e7\u7248plotyy\uff09<\/p>\n\n\n\n
% \u5b9a\u4e49x\u7684\u8303\u56f4\nx = 0:0.01:20;\n\n% \u5b9a\u4e49\u4e24\u4e2a\u51fd\u6570\ny1 = 200*exp(-0.05*x).*sin(x);\ny2 = 0.8*exp(-0.5*x).*sin(10*x);\n\n% \u521b\u5efa\u4e00\u4e2a\u56fe\u5f62\u7a97\u53e3\nfigure\n\n% \u4f7f\u7528plotyy\u6765\u7ed8\u5236\u4e24\u4e2a\u5177\u6709\u4e0d\u540cy\u8f74\u7684\u56fe\u5f62\n[AX, H1, H2]<\/mark> = plotyy(x, y1, x, y2, 'plot');\n\n% \u8bbe\u7f6e\u5de6\u4fa7y\u8f74\u7684\u6807\u7b7e\nset(get(AX(1),'Ylabel')<\/mark>, 'String', 'Slow Decay');\n\n% \u8bbe\u7f6e\u53f3\u4fa7y\u8f74\u7684\u6807\u7b7e\nset(get(AX(2),'Ylabel'), 'String', 'Fast Decay');\n\n% \u8bbe\u7f6ex\u8f74\u7684\u6807\u7b7e\nxlabel('Time (musec)');\n\n% \u8bbe\u7f6e\u56fe\u5f62\u7684\u6807\u9898\ntitle('Multiple Decay Rates');\n\n% \u8bbe\u7f6e\u7b2c\u4e00\u4e2a\u56fe\u5f62\uff08y1\uff09\u7684\u7ebf\u578b\u4e3a\u865a\u7ebf\nset(H1, 'LineStyle', '--');\n\n% \u8bbe\u7f6e\u7b2c\u4e8c\u4e2a\u56fe\u5f62\uff08y2\uff09\u7684\u7ebf\u578b\u4e3a\u70b9\u7ebf\nset(H2, 'LineStyle', ':');<\/code><\/pre>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
[AX, H1, H2]<\/mark>\u5728MATLAB\u4e2d\uff0c\u5f53\u4f7f\u7528 plotyy<\/code> \u51fd\u6570\u65f6\uff0c[AX, H1, H2]<\/code> \u8fd9\u4e00\u90e8\u5206\u4ee3\u7801\u7684\u4f5c\u7528\u662f\u63a5\u6536 plotyy<\/code> \u8fd4\u56de\u7684\u591a\u4e2a\u8f93\u51fa\u3002<\/p>\n\n\n\n
    \n
  • plotyy<\/code> \u51fd\u6570\u7528\u4e8e\u521b\u5efa\u4e00\u4e2a\u53ccy\u8f74\u56fe\uff0c\u5176\u4e2d\u4e24\u4e2a\u6570\u636e\u96c6\u5171\u4eabx\u8f74\u4f46\u6709\u5404\u81ea\u72ec\u7acb\u7684y\u8f74\u3002\u8fd9\u5bf9\u4e8e\u540c\u65f6\u663e\u793a\u4e24\u4e2a\u6570\u636e\u96c6\u975e\u5e38\u6709\u7528\uff0c\u5c24\u5176\u662f\u5f53\u8fd9\u4e24\u4e2a\u6570\u636e\u96c6\u7684\u91cf\u7ea7\u6216\u5355\u4f4d\u5dee\u5f02\u8f83\u5927\u65f6\u3002<\/li>\n\n\n\n
  • [AX, H1, H2]<\/code> \u662f\u7528\u6765\u63a5\u6536 plotyy<\/code> \u8fd4\u56de\u7684\u4e09\u4e2a\u8f93\u51fa\u7684\u53d8\u91cf\uff1a<\/li>\n<\/ul>\n\n\n\n
      \n
    1. AX<\/code><\/strong> – \u4e00\u4e2a\u5305\u542b\u4e24\u4e2a\u5143\u7d20\u7684\u6570\u7ec4\uff0c\u8fd9\u4e24\u4e2a\u5143\u7d20\u5206\u522b\u662f\u5de6\u4fa7\u548c\u53f3\u4fa7y\u8f74\u7684\u53e5\u67c4\uff08\u6216\u8005\u8bf4\u662f\u6307\u5411\u8fd9\u4e24\u4e2ay\u8f74\u7684\u5f15\u7528\uff09\u3002\u901a\u8fc7\u8fd9\u4e9b\u53e5\u67c4\uff0c\u4f60\u53ef\u4ee5\u4fee\u6539\u548c\u8bbf\u95ee\u4e0e\u8fd9\u4e24\u4e2ay\u8f74\u76f8\u5173\u7684\u5c5e\u6027\uff0c\u6bd4\u5982\u6807\u7b7e\u3001\u523b\u5ea6\u3001\u989c\u8272\u7b49\u3002<\/li>\n\n\n\n
    2. H1<\/code><\/strong> – \u7b2c\u4e00\u4e2a\u6570\u636e\u96c6\u7684\u56fe\u5f62\u5bf9\u8c61\u53e5\u67c4\u3002\u8fd9\u4e2a\u53e5\u67c4\u6307\u5411\u4f7f\u7528\u5de6\u4fa7y\u8f74\u7ed8\u5236\u7684\u56fe\u5f62\uff0c\u901a\u5e38\u7528\u4e8e\u8fdb\u4e00\u6b65\u81ea\u5b9a\u4e49\u8be5\u56fe\u5f62\u7684\u5c5e\u6027\uff0c\u5982\u7ebf\u578b\u3001\u989c\u8272\u3001\u6807\u8bb0\u7b49\u3002<\/li>\n\n\n\n
    3. H2<\/code><\/strong> – \u7b2c\u4e8c\u4e2a\u6570\u636e\u96c6\u7684\u56fe\u5f62\u5bf9\u8c61\u53e5\u67c4\u3002\u8fd9\u4e2a\u53e5\u67c4\u6307\u5411\u4f7f\u7528\u53f3\u4fa7y\u8f74\u7ed8\u5236\u7684\u56fe\u5f62\uff0c\u5e76\u4e14\u4e5f\u7528\u4e8e\u5b9a\u5236\u8be5\u56fe\u5f62\u7684\u5c5e\u6027\u3002<\/li>\n<\/ol>\n\n\n\n
      [AX, H1, H2]<\/mark><\/p>\n\n\n\n

      \u5728 MATLAB \u4e2d\uff0cget(AX(1),'Ylabel')<\/code> \u8fd9\u4e2a\u8868\u8fbe\u5f0f\u662f\u7528\u6765\u83b7\u53d6\u4e0e\u56fe\u5f62\u4e2d\u5de6\u4fa7 y \u8f74\u76f8\u5173\u7684\u6807\u7b7e\u5bf9\u8c61\u3002\u8fd9\u91cc\uff0cAX(1)<\/code> \u6307\u7684\u662f\u4f7f\u7528 plotyy<\/code> \u51fd\u6570\u521b\u5efa\u7684\u53cc y \u8f74\u56fe\u5f62\u4e2d\u7684\u7b2c\u4e00\u4e2a\u8f74\uff08\u901a\u5e38\u662f\u5de6\u4fa7\u7684 y \u8f74\uff09\u3002<\/p>\n\n\n\n
      \u89e3\u6790\u4e00\u4e0b\u8fd9\u4e2a\u8868\u8fbe\u5f0f\uff1a<\/p>\n\n\n\n
        \n
      • AX<\/code> \u662f\u4e00\u4e2a\u5305\u542b\u4e24\u4e2a\u56fe\u5f62\u8f74\u5bf9\u8c61\u7684\u6570\u7ec4\uff0c\u8fd9\u662f plotyy<\/code> \u51fd\u6570\u7684\u8f93\u51fa\u4e4b\u4e00\u3002AX(1)<\/code> \u6307\u7684\u662f\u8fd9\u4e24\u4e2a\u8f74\u4e2d\u7684\u7b2c\u4e00\u4e2a\uff0c\u5373\u5de6\u4fa7\u7684 y \u8f74\u3002<\/li>\n\n\n\n
      • get<\/code> \u51fd\u6570\u7528\u4e8e\u83b7\u53d6\u56fe\u5f62\u5bf9\u8c61\u7684\u5c5e\u6027\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u5b83\u88ab\u7528\u6765\u83b7\u53d6 AX(1)<\/code>\uff0c\u4e5f\u5c31\u662f\u5de6\u4fa7 y \u8f74\u7684\u5c5e\u6027\u3002<\/li>\n\n\n\n
      • 'Ylabel'<\/code> \u662f get<\/code> \u51fd\u6570\u7684\u53c2\u6570\uff0c\u6307\u5b9a\u8981\u83b7\u53d6\u7684\u5c5e\u6027\u662f y \u8f74\u7684\u6807\u7b7e\u3002<\/li>\n<\/ul>\n\n\n\n
        \u56e0\u6b64\uff0cget(AX(1),'Ylabel')<\/code> \u8fd4\u56de\u4e00\u4e2a\u56fe\u5f62\u6587\u672c\u5bf9\u8c61\uff0c\u8be5\u5bf9\u8c61\u5305\u542b\u4e86\u5de6\u4fa7 y \u8f74\u7684\u6807\u7b7e\u4fe1\u606f\u3002<\/p>\n\n\n\n
        \u4f8b\u5b50\u4fee\u6539\u7248yyaxis<\/strong><\/p>\n\n\n\n
        % \u5b9a\u4e49 x \u7684\u8303\u56f4\nx = 0:0.01:20;\n\n% \u5b9a\u4e49\u4e24\u4e2a\u51fd\u6570\ny1 = 200*exp(-0.05*x).*sin(x);\ny2 = 0.8*exp(-0.5*x).*sin(10*x);\n\n% \u521b\u5efa\u4e00\u4e2a\u56fe\u5f62\u7a97\u53e3\nfigure\n\n% \u8bbe\u7f6e\u5e76\u7ed8\u5236\u5de6\u4fa7 y \u8f74\u7684\u56fe\u5f62\nyyaxis left\nplot(x, y1, '--') % \u8bbe\u7f6e\u7ebf\u578b\u4e3a\u865a\u7ebf\nylabel('Slow Decay') % \u8bbe\u7f6e\u5de6\u4fa7 y \u8f74\u6807\u7b7e\n\n% \u8bbe\u7f6e\u5e76\u7ed8\u5236\u53f3\u4fa7 y \u8f74\u7684\u56fe\u5f62\nyyaxis right\nplot(x, y2, ':') % \u8bbe\u7f6e\u7ebf\u578b\u4e3a\u70b9\u7ebf\nylabel('Fast Decay') % \u8bbe\u7f6e\u53f3\u4fa7 y \u8f74\u6807\u7b7e\n\n% \u8bbe\u7f6e x \u8f74\u6807\u7b7e\u548c\u56fe\u5f62\u6807\u9898\nxlabel('Time (musec)')\ntitle('Multiple Decay Rates')\n\n% \u5f00\u542f\u7f51\u683c\ngrid on<\/code><\/pre>\n\n\n\n
          \n
        1. \u4ee3\u7801\u6e05\u6670\u5ea6<\/strong>:\n
            \n
          • \u4f7f\u7528 yyaxis<\/code> \u7684\u4ee3\u7801\u66f4\u52a0\u76f4\u89c2\u548c\u6613\u4e8e\u9605\u8bfb\u3002\u6bcf\u4e2a\u8f74\u7684\u8bbe\u7f6e\u90fd\u6e05\u6670\u5730\u5206\u7ec4\u5728\u4e00\u8d77\uff0c\u6613\u4e8e\u7406\u89e3\u6bcf\u4e00\u90e8\u5206\u7684\u4f5c\u7528\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
          • \u63a7\u5236\u7075\u6d3b\u6027<\/strong>:\n
              \n
            • yyaxis<\/code> \u63d0\u4f9b\u4e86\u66f4\u597d\u7684\u63a7\u5236\u7075\u6d3b\u6027\u3002\u4f60\u53ef\u4ee5\u76f4\u63a5\u5bf9\u6bcf\u4e2a\u8f74\u8fdb\u884c\u64cd\u4f5c\uff0c\u800c\u4e0d\u662f\u50cf\u5728 plotyy<\/code> \u4e2d\u90a3\u6837\u9700\u8981\u901a\u8fc7\u8f74\u53e5\u67c4\u6765\u95f4\u63a5\u8bbf\u95ee\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
            • \u4ee3\u7801\u7b80\u6d01\u6027<\/strong>:\n
                \n
              • \u4f7f\u7528 yyaxis<\/code>\uff0c\u8bbe\u7f6e\u8f74\u6807\u7b7e\u66f4\u4e3a\u76f4\u63a5\uff0c\u4e0d\u518d\u9700\u8981\u901a\u8fc7 get<\/code> \u548c set<\/code> \u51fd\u6570\u95f4\u63a5\u8bbe\u7f6e\uff0c\u8fd9\u4f7f\u5f97\u4ee3\u7801\u66f4\u52a0\u7b80\u6d01\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
              • \u6837\u5f0f\u8bbe\u7f6e<\/strong>:\n
                  \n
                • \u5728 plot<\/code> \u51fd\u6570\u4e2d\u76f4\u63a5\u8bbe\u7f6e\u7ebf\u578b\uff08\u5982 --<\/code> \u6216 :<\/code>\uff09\uff0c\u4f7f\u5f97\u6837\u5f0f\u8bbe\u7f6e\u66f4\u52a0\u76f4\u89c2\uff0c\u4e0d\u9700\u8981\u989d\u5916\u7684 set<\/code> \u8c03\u7528\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                • \u7ef4\u62a4\u548c\u66f4\u65b0<\/strong>:\n
                    \n
                  • \u4f7f\u7528 yyaxis<\/code> \u7684\u4ee3\u7801\u66f4\u6613\u4e8e\u7ef4\u62a4\u548c\u66f4\u65b0\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u60f3\u6dfb\u52a0\u66f4\u591a\u7684\u56fe\u5f62\u6216\u66f4\u6539\u73b0\u6709\u56fe\u5f62\u7684\u67d0\u4e9b\u5c5e\u6027\uff0c\u4f7f\u7528 yyaxis<\/code> \u4f1a\u66f4\u76f4\u63a5\u548c\u65b9\u4fbf\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"
                    \u4fee\u6539\u989c\u8272\uff1a\u4f60\u53ef\u4ee5\u901a\u8fc7\u5728plot\u51fd\u6570\u4e2d\u8bbe\u7f6e’color’\u53c2\u6570\u6765\u6307\u5b9a\u7ebf\u7684\u989c\u8272\u3002\u989c\u8272\u53ef\u4ee5\u4f7f\u7528\u5b57\u7b26\u4e32\u8868\u793a\uff0c\u4f8b\u5982’r’\u8868 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-176","post","type-post","status-publish","format-standard","hentry","category-matlab"],"jetpack_featured_media_url":"","jetpack-related-posts":[{"id":187,"url":"https:\/\/blog.huohh.cn\/?p=187","url_meta":{"origin":176,"position":0},"title":"MATLAB\u4e09\u7ef4\u7acb\u4f53\u7ed8\u56fe","author":"1424495037","date":"2024\u5e741\u670818\u65e5","format":false,"excerpt":"% \u5b9a\u4e49\u53c2\u6570 t\uff0c\u4ece 0 \u5230 10\u03c0\uff0c\u6b65\u957f\u4e3a \u03c0\/50 t = 0:pi\/50:10*pi; % \u4f7f\u2026","rel":"","context":"\u5728\u201cMATLAB\u201d\u4e2d","block_context":{"text":"MATLAB","link":"https:\/\/blog.huohh.cn\/?cat=3"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":226,"url":"https:\/\/blog.huohh.cn\/?p=226","url_meta":{"origin":176,"position":1},"title":"\u56fe\u4e66\u9986\u4fbf\u6377\u62a2\u5ea7 \u4f7f\u7528\u6587\u6863","author":"1424495037","date":"2024\u5e748\u670830\u65e5","format":false,"excerpt":"\u5b89\u5353\u82f9\u679c\u53cc\u7aef\u5df2\u540c\u6b65\u66f4\u65b0\uff01\u8bf7\u5168\u90e8\u91cd\u65b0\u4e0b\u8f7d \u5b66\u6821\u6700\u8fd1\u53ef\u80fd\u4f1a\u67e5\uff0c\u8bf7\u91cd\u65b0\u4ed4\u7ec6\u9605\u8bfb\u5168\u6587\uff01\u8bf7\u4fdd\u7559\u6bcf\u6b21\u9884\u7ea6\u5ea7\u4f4d\u622a\u56fe\u2026","rel":"","context":"\u5728\u201c\u8ba1\u7b97\u673a\u201d\u4e2d","block_context":{"text":"\u8ba1\u7b97\u673a","link":"https:\/\/blog.huohh.cn\/?cat=6"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/blog.huohh.cn\/wp-content\/uploads\/2024\/08\/1bb67e5ffd3d3efb372abe2d8c38195.jpg?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/blog.huohh.cn\/wp-content\/uploads\/2024\/08\/1bb67e5ffd3d3efb372abe2d8c38195.jpg?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/blog.huohh.cn\/wp-content\/uploads\/2024\/08\/1bb67e5ffd3d3efb372abe2d8c38195.jpg?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":77,"url":"https:\/\/blog.huohh.cn\/?p=77","url_meta":{"origin":176,"position":2},"title":"MATLAB\u5b66\u4e60\u7b14\u8bb01","author":"1424495037","date":"2024\u5e741\u670814\u65e5","format":false,"excerpt":"\u57fa\u7840\u77e5\u8bc6 MATLAB\u4ece1\u5f00\u59cb\uff0cC\u8bed\u8a00\u7b49\u5176\u4ed6\u8bed\u8a00\u4ece0\u5f00\u59cb\u3002 \u8d4b\u503c\u65b9\u6cd5\u4e0e\u5176\u4ed6\u8bed\u8a00\u76f8\u540c\u3002 a = 10 \u2026","rel":"","context":"\u5728\u201cMATLAB\u201d\u4e2d","block_context":{"text":"MATLAB","link":"https:\/\/blog.huohh.cn\/?cat=3"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":33,"url":"https:\/\/blog.huohh.cn\/?p=33","url_meta":{"origin":176,"position":3},"title":"\u6279\u6539\u7f51\u9ad8\u5206\u8bcd\u53e5","author":"1424495037","date":"2021\u5e7412\u67084\u65e5","format":false,"excerpt":"[\u4eae\u70b9\u8bcd\u6c47]whereas\u610f\u601d\u662f\u7136\u800c\u2026\uff0c\u662f\u7ecf\u5178\u8f6c\u6362\u8bdd\u9898\u7c7b\u8bcd\u6c47\u3002 [\u95ea\u5149\u77ed\u8bed]a case in po\u2026","rel":"","context":"\u5728\u201c\u751f\u7269\u201d\u4e2d","block_context":{"text":"\u751f\u7269","link":"https:\/\/blog.huohh.cn\/?cat=2"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/blog.huohh.cn\/index.php?rest_route=\/wp\/v2\/posts\/176","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.huohh.cn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.huohh.cn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.huohh.cn\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.huohh.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=176"}],"version-history":[{"count":7,"href":"https:\/\/blog.huohh.cn\/index.php?rest_route=\/wp\/v2\/posts\/176\/revisions"}],"predecessor-version":[{"id":191,"href":"https:\/\/blog.huohh.cn\/index.php?rest_route=\/wp\/v2\/posts\/176\/revisions\/191"}],"wp:attachment":[{"href":"https:\/\/blog.huohh.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=176"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.huohh.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=176"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.huohh.cn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=176"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}