{"id":190409,"date":"2024-05-09T18:20:20","date_gmt":"2024-05-09T10:20:20","guid":{"rendered":""},"modified":"2024-05-09T18:20:24","modified_gmt":"2024-05-09T10:20:24","slug":"c-c-%e6%9c%89%e5%93%aa%e4%ba%9b%e6%95%b0%e6%8d%ae%e5%8f%af%e8%a7%86%e5%8c%96%e7%b1%bb%e5%ba%93","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/190409.html","title":{"rendered":"c\/c \u6709\u54ea\u4e9b\u6570\u636e\u53ef\u89c6\u5316\u7c7b\u5e93"},"content":{"rendered":"

\"c\/c<\/p>\n

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\u4e00\u3001D3.JS\u7b80\u4ecb<\/h2>\n<\/p>\n

D3.js\uff08Data-Driven Documents\uff09\u662f\u4e00\u4e2aJavaScript\u5e93\uff0c\u7528\u4e8e\u5728\u7f51\u9875\u4e0a\u4f7f\u7528HTML\u3001SVG\u548cCSS\u4ea7\u751f\u548c\u64cd\u4f5c\u6570\u636e\u56fe\u5f62\u3002D3\u5f3a\u5927\u7684\u6570\u636e\u7ed1\u5b9a\u529f\u80fd<\/strong>\uff0c\u4ee5\u53ca\u5176\u4e30\u5bcc\u7684\u56fe\u5f62\u7ec4\u4ef6\u5e93\uff0c\u4f7f\u5f97\u521b\u5efa\u590d\u6742\u548c\u7075\u6d3b\u7684\u6570\u636e\u53ef\u89c6\u5316\u53d8\u5f97\u53ef\u80fd\u3002\u5f00\u53d1\u8005\u53ef\u4ee5\u4f7f\u7528D3\u751f\u6210\u51e0\u4e4e\u4efb\u4f55\u7c7b\u578b\u7684\u6570\u636e\u56fe\u5f62\u548c\u56fe\u8868\uff0c\u5176\u8bbe\u8ba1\u7684\u6838\u5fc3\u5728\u4e8e\u80fd\u591f\u5c06\u4efb\u4f55\u6570\u636e\u900f\u660e\u5730\u6620\u5c04\u5230\u6587\u6863\u5bf9\u8c61\u6a21\u578b\u4e0a\uff0c\u4ece\u800c\u5bf9\u6570\u636e\u8fdb\u884c\u53ef\u89c6\u5316\u7684\u5c55\u793a\u3002<\/p>\n<\/p>\n

\u4e3a\u4ec0\u4e48\u9009\u62e9D3.js<\/h3>\n<\/p>\n
    \n
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    \u4e8c\u3001CHART.JS\u6982\u89c8<\/h2>\n<\/p>\n

    Chart.js\u662f\u4e00\u4e2a\u5bf9\u521d\u5b66\u8005\u975e\u5e38\u53cb\u597d\u7684\u7b80\u5355\u8f7b\u91cf\u7ea7\u7684JavaScript\u5e93\uff0c\u5b83\u4f7f\u7528HTML5\u7684Canvas\u5143\u7d20\u6765\u7ed8\u56fe\u3002\u8f7b\u91cf\u7ea7\u548c\u54cd\u5e94\u5f0f\u8bbe\u8ba1<\/strong> \u662fChart.js\u7684\u4e3b\u8981\u7279\u70b9\uff0c\u5b83\u53ef\u4ee5\u751f\u6210\u516b\u79cd\u57fa\u7840\u56fe\u8868\u7c7b\u578b\uff1a\u6761\u5f62\u56fe\u3001\u7ebf\u56fe\u3001\u533a\u57df\u56fe\u3001\u997c\u56fe\u3001\u73af\u5f62\u56fe\u3001\u96f7\u8fbe\u56fe\u3001\u6781\u5730\u533a\u57df\u56fe\u548c\u6563\u70b9\u56fe\u3002\u8fd9\u4e9b\u56fe\u8868\u90fd\u662f\u54cd\u5e94\u5f0f\u7684\uff0c\u56e0\u6b64\u5728\u4e0d\u540c\u5927\u5c0f\u7684\u5c4f\u5e55\u4e0a\u90fd\u53ef\u4ee5\u5f88\u597d\u5730\u663e\u793a\u3002<\/p>\n<\/p>\n

    \u4e3b\u8981\u4f18\u70b9<\/h3>\n<\/p>\n
      \n
    • \u6613\u4e8e\u4e0a\u624b<\/strong>\uff1a\u63d0\u4f9b\u4e86\u6613\u61c2\u7684\u6587\u6863\u548c\u6784\u5efa\u56fe\u8868\u7684\u7b80\u4fbf\u65b9\u6cd5\u3002<\/li>\n
    • \u6027\u80fd\u826f\u597d<\/strong>\uff1a\u5bf9\u4e8e\u57fa\u672c\u7684\u56fe\u8868\u9700\u6c42\uff0cChart.js\u7684\u6027\u80fd\u975e\u5e38\u51fa\u8272\u3002<\/li>\n
    • \u5927\u91cf\u7684\u793a\u4f8b\u548c\u6587\u6863<\/strong>\uff1a\u6709\u8bb8\u591a\u5728\u7ebf\u8d44\u6e90\u53ef\u4ee5\u5e2e\u52a9\u65b0\u7528\u6237\u5feb\u901f\u5b66\u4e60\u5982\u4f55\u4f7f\u7528\u3002<\/li>\n<\/ul>\n

      \u4e09\u3001HIGHCHARTS\u7684\u7279\u8272<\/h2>\n<\/p>\n

      Highcharts\u662f\u4e00\u4e2a\u4e13\u4e1a\u7684\u56fe\u8868\u5e93\uff0c\u8fd9\u4e2a\u5546\u4e1a\u7528\u9014\u7684\u5e93\u5728\u7f51\u9875\u548c\u79fb\u52a8\u8bbe\u5907\u4e0a\u5e7f\u6cdb\u4f7f\u7528\u3002\u7f16\u7a0b\u7b80\u5355\u3001\u652f\u6301\u5e7f\u6cdb\u7684\u56fe\u8868\u7c7b\u578b<\/strong> \u662fHighcharts\u7684\u4eae\u70b9\uff0c\u5305\u62ec\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u997c\u56fe\u3001\u6563\u70b9\u56fe\u3001\u7011\u5e03\u56fe\u3001\u7ec4\u5408\u56fe\u30013D\u56fe\u548c\u70ed\u529b\u56fe\u7b49\u3002Highcharts\u9002\u5408\u56e2\u961f\u4f7f\u7528\uff0c\u56e0\u4e3a\u5b83\u7684\u8bb8\u53ef\u8d39\u5c42\u6b21\u5206\u660e\uff0c\u6839\u636e\u5f00\u53d1\u8005\u548c\u516c\u53f8\u89c4\u6a21\u5b9a\u5236\u3002<\/p>\n<\/p>\n

      \u4e3a\u4f55\u9009\u62e9Highcharts<\/h3>\n<\/p>\n
        \n
      • \u8de8\u6d4f\u89c8\u5668\u517c\u5bb9<\/strong>\uff1a\u652f\u6301\u6240\u6709\u73b0\u4ee3\u6d4f\u89c8\u5668\uff0c\u5305\u62ecIE6\u3002<\/li>\n
      • \u4e30\u5bcc\u7684\u4ea4\u4e92\u529f\u80fd<\/strong>\uff1a\u56fe\u8868\u53ef\u4ee5\u653e\u5927\u7f29\u5c0f\u3001\u6253\u5370\u6216\u8005\u5bfc\u51fa\u4e3a\u591a\u79cd\u683c\u5f0f\u3002<\/li>\n
      • \u7528\u6237\u4f53\u9a8c\u597d<\/strong>\uff1a\u63d0\u4f9b\u4e86\u4e00\u81f4\u7684\u7528\u6237\u4f53\u9a8c\u548c\u6e05\u6670\u7684\u4ea4\u4e92\u754c\u9762\u3002<\/li>\n<\/ul>\n

        \u56db\u3001PLOTLY\u7684\u4eae\u70b9<\/h2>\n<\/p>\n

        Plotly\u4e0d\u4ec5\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u800c\u4e14\u662f\u4e00\u4e2a\u79d1\u5b66\u8ba1\u7b97\u5de5\u5177\u3002\u652f\u6301Python\u3001R\u3001MATLAB\u3001Node.js\u7b49\u8bed\u8a00\u63a5\u53e3\uff0cPlotly\u7279\u522b\u9002\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u5de5\u7a0b\u9886\u57df<\/strong>\u3002Plotly\u63d0\u4f9b\u7684\u56fe\u8868\u7c7b\u578b\u7e41\u591a\uff0c\u5305\u62ec\u57fa\u672c\u76842D\u56fe\u8868\u30013D\u56fe\u8868\u3001\u79d1\u5b66\u56fe\u8868\u548c\u7edf\u8ba1\u56fe\u8868\u7b49\u3002Plotly\u652f\u6301\u521b\u5efa\u5bcc\u4ea4\u4e92\u6027\u7684\u4eea\u8868\u677f\u548c\u590d\u6742\u56fe\u8868\u3002<\/p>\n<\/p>\n

        Plotly\u7684\u4f18\u52bf<\/h3>\n<\/p>\n
          \n
        • \u591a\u8bed\u8a00\u652f\u6301<\/strong>\uff1a\u53ef\u4ee5\u4e0ePython\u3001R\u7b49\u591a\u4e2a\u7f16\u7a0b\u73af\u5883\u76f8\u7ed3\u5408\u3002<\/li>\n
        • \u5f3a\u5927\u7684\u5206\u6790\u5de5\u5177<\/strong>\uff1a\u9664\u4e86\u53ef\u89c6\u5316\uff0c\u8fd8\u63d0\u4f9b\u6570\u636e\u5206\u6790\u7684\u529f\u80fd\u3002<\/li>\n
        • \u5728\u7ebf\u534f\u4f5c\u548c\u5171\u4eab<\/strong>\uff1a\u8f7b\u677e\u5171\u4eab\u548c\u6574\u5408\u6570\u636e\uff0c\u4fbf\u4e8e\u56e2\u961f\u534f\u4f5c\u3002<\/li>\n<\/ul>\n

          \u4e94\u3001TABLEAU\u7684\u5206\u6790\u80fd\u529b<\/h2>\n<\/p>\n

          Tableau\u662f\u4e00\u6b3e\u529f\u80fd\u5f3a\u5927\u7684\u5546\u4e1a\u667a\u80fd\u548c\u6570\u636e\u53ef\u89c6\u5316\u5de5\u5177\u3002\u901a\u8fc7\u76f4\u89c2\u7684\u62d6\u653e\u63a5\u53e3<\/strong>\uff0c\u7528\u6237\u80fd\u591f\u5feb\u901f\u521b\u5efa\u56fe\u8868\u548c\u53ef\u89c6\u5316\u3002Tableau\u7684\u4f18\u52bf\u5728\u4e8e\u5176\u5206\u6790\u80fd\u529b\uff0c\u5b83\u53ef\u4ee5\u5904\u7406\u5927\u91cf\u6570\u636e\uff0c\u652f\u6301\u5404\u79cd\u4e0d\u540c\u7684\u6570\u636e\u6e90\uff0c\u5305\u62ec\u672c\u5730\u6570\u636e\u548c\u4e91\u6570\u636e\u3002Tableau\u7684\u4ea4\u4e92\u5f0f\u4eea\u8868\u677f\u5e7f\u6cdb\u5e94\u7528\u4e8e\u6570\u636e\u5206\u6790\u3001\u5546\u4e1a\u667a\u80fd\u548c\u62a5\u544a\u9886\u57df\u3002<\/p>\n<\/p>\n

          Tableau\u7279\u70b9<\/h3>\n<\/p>\n
            \n
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          • \u9ad8\u5ea6\u7684\u4ea4\u4e92\u6027<\/strong>\uff1a\u80fd\u591f\u521b\u5efa\u4ea4\u4e92\u5f0f\u7684\u4eea\u8868\u677f\u548c\u6545\u4e8b\u8bb2\u8ff0\u3002<\/li>\n<\/ul>\n

            \u7efc\u4e0a\u6240\u8ff0\uff0c\u4f60\u9009\u62e9\u54ea\u4e2a\u6570\u636e\u53ef\u89c6\u5316\u5e93\u5e94\u6839\u636e\u4f60\u7684\u7279\u5b9a\u9700\u6c42\u548c\u9879\u76ee\u8981\u6c42\u3002D3.js\u662f\u6700\u7075\u6d3b\u4f46\u5b66\u4e60\u66f2\u7ebf\u6700\u9661\u5ced\u7684\u9009\u9879\uff1bChart.js\u548cHighcharts\u5bf9\u4e8e\u5feb\u901f\u5236\u4f5c\u57fa\u672c\u56fe\u8868\u975e\u5e38\u9002\u5408\uff1b\u5982\u679c\u4f60\u9700\u8981\u6df1\u5ea6\u7684\u6570\u636e\u5206\u6790\u548c\u4ea4\u4e92\u5f0f\u56fe\u8868\uff0c\u90a3\u4e48Plotly\u53ef\u80fd\u662f\u6700\u597d\u7684\u9009\u62e9\uff1b\u800c\u5bf9\u4e8e\u4f01\u4e1a\u7ea7\u7684\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\uff0cTableau\u4f1a\u662f\u4e00\u4e2a\u4fbf\u6377\u800c\u5f3a\u5927\u7684\u5de5\u5177\u3002<\/p>\n<\/p>\n

            \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n

            \u4ec0\u4e48\u662fC\/C++\u4e2d\u5e38\u7528\u7684\u6570\u636e\u53ef\u89c6\u5316\u7c7b\u5e93\u6709\u54ea\u4e9b\uff1f<\/strong><\/p>\n

            C\/C++\u8bed\u8a00\u4e2d\u6709\u8bb8\u591a\u6570\u636e\u53ef\u89c6\u5316\u7c7b\u5e93\u53ef\u4ee5\u5e2e\u52a9\u5f00\u53d1\u8005\u5c06\u6570\u636e\u4ee5\u56fe\u8868\u3001\u56fe\u5f62\u7b49\u5f62\u5f0f\u5448\u73b0\u51fa\u6765\u3002\u5176\u4e2d\u4e00\u4e9b\u5e38\u7528\u7684\u5305\u62ec\uff1a<\/p>\n

              \n
            1. \n

              OpenGL<\/strong>\uff1a\u5b83\u662f\u4e00\u4e2a\u8de8\u5e73\u53f0\u7684\u56fe\u5f62\u5e93\uff0c\u53ef\u4ee5\u7528\u6765\u521b\u5efa\u590d\u6742\u7684\u4e09\u7ef4\u56fe\u5f62\u548c\u52a8\u753b\uff0c\u975e\u5e38\u9002\u5408\u5f00\u53d13D\u6570\u636e\u53ef\u89c6\u5316\u5e94\u7528\u3002<\/p>\n<\/li>\n

            2. \n

              Qt<\/strong>\uff1aQt\u662f\u4e00\u4e2a\u8de8\u5e73\u53f0\u7684C++\u56fe\u5f62\u7528\u6237\u754c\u9762\u6846\u67b6\uff0c\u4e5f\u63d0\u4f9b\u4e86\u4e00\u4e9b\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u7684\u7ec4\u4ef6\u3002\u5b83\u53ef\u4ee5\u8f7b\u677e\u6784\u5efa\u4ea4\u4e92\u5f0f\u56fe\u8868\u3001\u7ed8\u56fe\u548c\u53ef\u89c6\u5316\u754c\u9762\u3002<\/p>\n<\/li>\n

            3. \n

              VTK<\/strong>\uff1aVTK\u662f\u4e00\u4e2a\u7528\u4e8e3D\u6570\u636e\u53ef\u89c6\u5316\u7684\u5f00\u6e90\u5e93\u3002\u5b83\u63d0\u4f9b\u4e86\u8bb8\u591a\u529f\u80fd\u5f3a\u5927\u7684\u5de5\u5177\u548c\u7b97\u6cd5\uff0c\u53ef\u7528\u4e8e\u521b\u5efa\u5404\u79cd\u7c7b\u578b\u76843D\u53ef\u89c6\u5316\u6548\u679c\u3002<\/p>\n<\/li>\n

            4. \n

              Matplotlib<\/strong>\uff1a\u867d\u7136Matplotlib\u662f\u7528Python\u7f16\u5199\u7684\uff0c\u4f46\u4e5f\u53ef\u4ee5\u5728C++\u4e2d\u4f7f\u7528\u3002\u5b83\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u7ed8\u56fe\u5e93\uff0c\u53ef\u7528\u4e8e\u751f\u6210\u5404\u79cd\u7c7b\u578b\u7684\u7edf\u8ba1\u56fe\u8868\u3001\u7ed8\u56fe\u548c\u53ef\u89c6\u5316\u6548\u679c\u3002<\/p>\n<\/li>\n

            5. \n

              Gnuplot<\/strong>\uff1aGnuplot\u662f\u4e00\u4e2a\u547d\u4ee4\u884c\u5de5\u5177\uff0c\u53ef\u4ee5\u7528\u4e8e\u751f\u6210\u5404\u79cd\u7c7b\u578b\u7684\u79d1\u5b66\u56fe\u8868\u3002\u5b83\u652f\u6301\u591a\u79cd\u8f93\u51fa\u683c\u5f0f\uff0c\u5982\u56fe\u50cf\u6587\u4ef6\u3001\u77e2\u91cf\u56fe\u548c\u4ea4\u4e92\u5f0f\u56fe\u5f62\u754c\u9762\u3002<\/p>\n<\/li>\n

            6. \n

              FLTK<\/strong>\uff1aFLTK\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684C++\u56fe\u5f62\u7528\u6237\u754c\u9762\u5e93\uff0c\u9002\u7528\u4e8e\u521b\u5efa\u7b80\u5355\u7684\u56fe\u5f62\u5316\u754c\u9762\u548c\u7ed8\u56fe\u3002<\/p>\n<\/li>\n<\/ol>\n

              \u4ee5\u4e0a\u662fC\/C++\u4e2d\u4e00\u4e9b\u5e38\u7528\u7684\u6570\u636e\u53ef\u89c6\u5316\u7c7b\u5e93\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u6839\u636e\u81ea\u5df1\u7684\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\u6765\u5b9e\u73b0\u6570\u636e\u53ef\u89c6\u5316\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u6570\u636e\u53ef\u89c6\u5316\u7c7b\u5e93\u6709\u5f88\u591a\uff0c\u53ef\u4ee5\u6839\u636e\u4e0d\u540c\u7684\u7f16\u7a0b\u8bed\u8a00\u548c\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\u3002\u5176\u4e2d\uff0cD3.js\u3001Chart.js\u3001Highc […]","protected":false},"author":3,"featured_media":190413,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/190409"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=190409"}],"version-history":[{"count":0,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/190409\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/190413"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=190409"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=190409"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=190409"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}