{"id":190539,"date":"2024-05-09T18:26:12","date_gmt":"2024-05-09T10:26:12","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/190539.html"},"modified":"2024-05-09T18:26:18","modified_gmt":"2024-05-09T10:26:18","slug":"python%e5%b8%b8%e8%a7%81%e7%9a%84%e6%95%b0%e6%8d%ae%e5%8f%af%e8%a7%86%e5%8c%96%e5%ba%93%e6%9c%89%e5%93%aa%e4%ba%9b","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/190539.html","title":{"rendered":"Python\u5e38\u89c1\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\u6709\u54ea\u4e9b"},"content":{"rendered":"

\"Python\u5e38\u89c1\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\u6709\u54ea\u4e9b\"<\/p>\n

Python\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\u4e3b\u8981\u5305\u62ecMatplotlib\u3001Seaborn\u3001Plotly\u3001Bokeh\u3001AltAI<\/a>r<\/strong>\u7b49\u3002\u8fd9\u4e9b\u5e93\u5404\u81ea\u5177\u6709\u4e0d\u540c\u7684\u7279\u70b9\u548c\u529f\u80fd\uff0c\u53ef\u6ee1\u8db3\u4e0d\u540c\u5c42\u6b21\u7684\u6570\u636e\u53ef\u89c6\u5316\u9700\u6c42\u3002\u5176\u4e2d\uff0cMatplotlib<\/strong>\u662fPython\u6700\u57fa\u7840\u4e5f\u662f\u4f7f\u7528\u6700\u5e7f\u6cdb\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u7ed8\u56fe\u5de5\u5177\u548c\u63a5\u53e3\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u5b83\u521b\u5efa\u9ad8\u8d28\u91cf\u7684\u4e8c\u7ef4\u56fe\u8868\u3002Matplotlib\u529f\u80fd\u5f3a\u5927\u4e14\u7075\u6d3b\uff0c\u53ef\u4ee5\u76f4\u89c2\u5c55\u73b0\u6570\u636e\u7684\u5206\u5e03\u548c\u8d8b\u52bf\uff0c\u662f\u6570\u636e\u5206\u6790\u548c\u79d1\u5b66\u8ba1\u7b97\u4e2d\u4e0d\u53ef\u6216\u7f3a\u7684\u5de5\u5177\u3002<\/p>\n<\/p>\n

\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u5e38\u89c1\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u4ee5\u53ca\u5b83\u4eec\u7684\u7279\u70b9\u548c\u5e94\u7528\u573a\u666f\u3002<\/p>\n<\/p>\n

\u4e00\u3001MATPLOTLIB<\/h3>\n<\/p>\n

Matplotlib\u662fPython\u4e2d\u7684\u57fa\u7840\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7c7b\u4f3c\u4e8eMATLAB\u7684\u7ed8\u56fe\u7cfb\u7edf\u3002\u5b83\u662f\u5efa\u7acb\u5728NumPy\u6570\u7ec4\u548cPython\u7684\u4e00\u4e2a\u5b8c\u6574\u76842D\u7ed8\u56fe\u5e93\u57fa\u7840\u4e4b\u4e0a\u3002\u7531\u4e8e\u5176\u7b80\u5355\u6027\u548c\u6709\u6548\u6027\uff0c\u5bf9\u521d\u5b66\u8005\u6765\u8bf4\u975e\u5e38\u53cb\u597d\u3002<\/p>\n<\/p>\n

    \n
  • \n

    \u7279\u70b9<\/strong>: Matplotlib\u5f3a\u5927\u5728\u4e8e\u5176\u7075\u6d3b\u6027\uff0c\u7528\u6237\u51e0\u4e4e\u53ef\u4ee5\u8c03\u6574\u56fe\u5f62\u4e2d\u7684\u4efb\u4f55\u5143\u7d20\uff0c\u5305\u62ec\u7ebf\u6761\u7c7b\u578b\u3001\u5b57\u4f53\u5c5e\u6027\u3001\u8f74\u5c5e\u6027\u7b49\u3002\u6b64\u5916\uff0c\u5b83\u8fd8\u652f\u6301\u5404\u79cd\u8f93\u51fa\u683c\u5f0f\uff0c\u5305\u62ecPNG\u3001PDF\u3001SVG\u7b49\u3002<\/p>\n<\/p>\n<\/li>\n

  • \n

    \u5e94\u7528\u573a\u666f<\/strong>: Matplotlib\u9002\u7528\u4e8e\u521b\u5efa\u9759\u6001\u3001\u4ea4\u4e92\u5f0f\u3001\u5d4c\u5165\u5f0f\u5728Web\u9875\u9762\u4e2d\u7684\u56fe\u5f62\u3002\u5e38\u7528\u4e8e\u7ed8\u5236\u6298\u7ebf\u56fe\u3001\u6761\u5f62\u56fe\u3001\u6563\u70b9\u56fe\u3001\u6811\u56fe\u7b49\u3002 \u8fd9\u4f7f\u5f97Matplotlib\u6210\u4e3a\u5b66\u672f\u8bba\u6587\u3001\u8bfe\u7a0b\u6750\u6599\u5236\u4f5c\u4ee5\u53ca\u5728GUI\u5e94\u7528\u7a0b\u5e8f\u4e2d\u5d4c\u5165\u56fe\u5f62\u7684\u7406\u60f3\u5de5\u5177\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n

    \u4e8c\u3001SEABORN<\/h3>\n<\/p>\n

    Seaborn\u662f\u57fa\u4e8eMatplotlib\u7684Python\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u7684\u754c\u9762\uff0c\u662f\u8fdb\u884c\u7edf\u8ba1\u56fe\u5f62\u7ed8\u5236\u7684\u91cd\u8981\u5de5\u5177\u4e4b\u4e00\u3002\u76f8\u8f83\u4e8eMatplotlib\uff0cSeaborn\u5728\u6837\u5f0f\u548c\u989c\u8272\u65b9\u9762\u6709\u66f4\u591a\u9ed8\u8ba4\u8bbe\u7f6e\uff0c\u4f7f\u5f97\u5373\u4f7f\u662f\u9ed8\u8ba4\u7684\u7ed8\u56fe\u4e5f\u663e\u5f97\u66f4\u52a0\u7f8e\u89c2\u3002<\/p>\n<\/p>\n

      \n
    • \n

      \u7279\u70b9<\/strong>: Seaborn\u4e13\u4e3a\u7edf\u8ba1\u6570\u636e\u53ef\u89c6\u5316\u8bbe\u8ba1\uff0c\u652f\u6301\u7ed8\u5236\u590d\u6742\u7684\u7edf\u8ba1\u56fe\u8868\uff0c\u5982\u70ed\u529b\u56fe\u3001\u65f6\u95f4\u5e8f\u5217\u3001\u5206\u7c7b\u56fe\u7b49\u3002\u901a\u8fc7\u7b80\u5355\u7684\u63a5\u53e3\uff0c\u53ef\u4ee5\u5feb\u901f\u751f\u6210\u7f8e\u89c2\u7684\u7edf\u8ba1\u56fe\u5f62\u3002<\/p>\n<\/p>\n<\/li>\n

    • \n

      \u5e94\u7528\u573a\u666f<\/strong>: Seaborn\u9002\u5408\u9700\u8981\u6267\u884c\u6570\u636e\u63a2\u7d22\u6027\u5206\u6790\u7684\u573a\u666f\uff0c\u7279\u522b\u662f\u5728\u7edf\u8ba1\u5206\u6790\u4e2d\u3002\u4f8b\u5982\uff0c\u6570\u636e\u79d1\u5b66\u5bb6\u53ef\u4ee5\u4f7f\u7528Seaborn\u8fdb\u884c\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb\u5206\u6790\u3001\u5206\u5e03\u5206\u6790\u7b49\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n

      \u4e09\u3001PLOTLY<\/h3>\n<\/p>\n

      Plotly\u662f\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u56fe\u5f62\u5e93\uff0c\u5b83\u652f\u6301\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\uff0c\u5305\u62ecPython\u3002Plotly\u63d0\u4f9b\u7684\u56fe\u5f62\u4e0d\u4ec5\u7f8e\u89c2\uff0c\u8fd8\u80fd\u5b9e\u73b0\u7f51\u9875\u4e2d\u7684\u4ea4\u4e92\u5f0f\u64cd\u4f5c\u3002<\/p>\n<\/p>\n

        \n
      • \n

        \u7279\u70b9<\/strong>: Plotly\u6700\u5927\u7684\u7279\u70b9\u662f\u652f\u6301\u4ea4\u4e92\u5f0f\u56fe\u8868\uff0c\u7528\u6237\u53ef\u4ee5\u7f29\u653e\u3001\u62d6\u52a8\u4ee5\u53ca\u5728\u56fe\u8868\u4e0a\u663e\u793a\u5177\u4f53\u6570\u503c\u7b49\u3002\u8fd9\u79cd\u4ea4\u4e92\u6027\u7279\u522b\u9002\u5408Web\u5e94\u7528\u7a0b\u5e8f\u548c\u6570\u636e\u5206\u6790\u62a5\u544a\u3002<\/p>\n<\/p>\n<\/li>\n

      • \n

        \u5e94\u7528\u573a\u666f<\/strong>: Plotly\u5e7f\u6cdb\u5e94\u7528\u4e8eWeb\u5f00\u53d1\u548c\u6570\u636e\u5206\u6790\u9886\u57df\uff0c\u7279\u522b\u9002\u5408\u90a3\u4e9b\u9700\u8981\u5c55\u793a\u52a8\u6001\u6570\u636e\u6216\u4e0e\u7528\u6237\u4ea4\u4e92\u7684\u573a\u666f\u3002\u4f8b\u5982\uff0c\u521b\u5efa\u5b9e\u65f6\u6570\u636e\u76d1\u63a7\u7684\u4eea\u8868\u76d8\u3001\u4ea4\u4e92\u5f0f\u6570\u636e\u62a5\u544a\u7b49\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n

        \u56db\u3001BOKEH<\/h3>\n<\/p>\n

        Bokeh\u662f\u4e00\u4e2a\u7528\u4e8e\u73b0\u4ee3Web\u6d4f\u89c8\u5668\u8fdb\u884c\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u7684Python\u5e93\u3002\u5b83\u7684\u76ee\u6807\u662f\u63d0\u4f9b\u9ad8\u6027\u80fd\u7684\u4ea4\u4e92\u5f0f\u56fe\u8868\uff0c\u9002\u7528\u4e8e\u5927\u6570\u636e\u96c6\u7684\u5b9e\u65f6\u5c55\u793a\u3002<\/p>\n<\/p>\n

          \n
        • \n

          \u7279\u70b9<\/strong>: Bokeh\u7684\u4f18\u52bf\u5728\u4e8e\u80fd\u591f\u5904\u7406\u5927\u91cf\u6570\u636e\u800c\u4e0d\u727a\u7272\u6027\u80fd\u548c\u54cd\u5e94\u901f\u5ea6\u3002\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u4ea4\u4e92\u5de5\u5177\uff0c\u4f7f\u5f97\u7528\u6237\u53ef\u4ee5\u6df1\u5165\u5730\u63a2\u7d22\u6570\u636e\u3002<\/p>\n<\/p>\n<\/li>\n

        • \n

          \u5e94\u7528\u573a\u666f<\/strong>: Bokeh\u9002\u5408\u90a3\u4e9b\u9700\u8981\u4e0e\u56fe\u8868\u8fdb\u884c\u6df1\u5165\u4ea4\u4e92\u7684\u573a\u666f\uff0c\u6bd4\u5982\u8d22\u7ecf\u6570\u636e\u7684\u5206\u6790\u3001\u79d1\u5b66\u7814\u7a76\u6570\u636e\u7684\u5c55\u793a\u7b49\u3002\u5bf9\u4e8e\u9700\u8981\u5c55\u793a\u590d\u6742\u6570\u636e\u96c6\u7684\u4e1a\u52a1\u62a5\u544a\u6216\u4eea\u8868\u76d8\u5c24\u5176\u6709\u7528\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n

          \u4e94\u3001ALTAIR<\/h3>\n<\/p>\n

          Altair\u662f\u57fa\u4e8eVega\u548cVega-Lite\u7684\u58f0\u660e\u5f0f\u7edf\u8ba1\u53ef\u89c6\u5316\u5e93\uff0c\u4e13\u4e3a\u7b80\u5316\u56fe\u8868\u7684\u521b\u5efa\u8fc7\u7a0b\u800c\u8bbe\u8ba1\u3002Altair\u5021\u5bfc\u4f7f\u7528\u7b80\u5355\u7684\u8bed\u6cd5\u7ed3\u6784\u6765\u63cf\u8ff0\u56fe\u8868\uff0c\u8ba9\u6570\u636e\u7684\u53ef\u89c6\u5316\u53d8\u5f97\u76f4\u89c2\u7b80\u5355\u3002<\/p>\n<\/p>\n

            \n
          • \n

            \u7279\u70b9<\/strong>: Altair\u7684\u7279\u70b9\u662f\u4f7f\u7528\u58f0\u660e\u5f0f\u8bed\u6cd5\u8fdb\u884c\u56fe\u8868\u7684\u521b\u5efa\uff0c\u8fd9\u4f7f\u5f97\u7ed8\u56fe\u4ee3\u7801\u66f4\u7b80\u6d01\u3001\u66f4\u6613\u4e8e\u7406\u89e3\u3002\u540c\u65f6\uff0c\u5b83\u4e5f\u9f13\u52b1\u66f4\u591a\u5730\u63a2\u7d22\u6570\u636e\u7684\u53ef\u89c6\u5316\u53ef\u80fd\u6027\u3002<\/p>\n<\/p>\n<\/li>\n

          • \n

            \u5e94\u7528\u573a\u666f<\/strong>: Altair\u9002\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u79d1\u5b66\u4e2d\u7b80\u5355\u5feb\u901f\u5730\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\u7684\u60c5\u5883\u3002\u5bf9\u4e8e\u521d\u5b66\u8005\u6216\u6709\u5feb\u901f\u539f\u578b\u9700\u6c42\u7684\u9879\u76ee\u7279\u522b\u5408\u9002\uff0c\u5982\u8fdb\u884c\u521d\u6b65\u7684\u6570\u636e\u63a2\u7d22\u548c\u5448\u73b0\u5206\u6790\u7ed3\u679c\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n

            \u8fd9\u4e9b\u6570\u636e\u53ef\u89c6\u5316\u5e93\u5404\u6709\u7279\u8272\uff0c\u4f46\u90fd\u5404\u53f8\u5176\u804c\uff0c\u5171\u540c\u4e3aPython\u5728\u6570\u636e\u5206\u6790\u548c\u79d1\u5b66\u7814\u7a76\u9886\u57df\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u53ef\u89c6\u5316\u652f\u6301\u3002\u7528\u6237\u53ef\u4ee5\u6839\u636e\u81ea\u5df1\u7684\u5177\u4f53\u9700\u6c42\u548c\u559c\u597d\u9009\u62e9\u5408\u9002\u7684\u5e93\u6765\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n

            \u5728\u4f7f\u7528\u8fd9\u4e9b\u5e93\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\u65f6\uff0c\u5173\u952e\u662f\u7406\u89e3\u6570\u636e\u7684\u542b\u4e49\u548c\u5982\u4f55\u901a\u8fc7\u56fe\u5f62\u6709\u6548\u5730\u4f20\u8fbe\u8fd9\u4e9b\u4fe1\u606f\u3002\u6570\u636e\u53ef\u89c6\u5316\u4e0d\u4ec5\u4ec5\u662f\u6280\u672f\u6d3b\u52a8\uff0c\u66f4\u662f\u4e00\u79cd\u827a\u672f\uff0c\u9700\u8981\u6839\u636e\u6570\u636e\u7684\u6027\u8d28\u548c\u76ee\u6807\u53d7\u4f17\u6765\u7cbe\u5fc3\u8bbe\u8ba1\u56fe\u8868\uff0c\u4ee5\u5b9e\u73b0\u4fe1\u606f\u7684\u6709\u6548\u4f20\u8fbe\u3002<\/p>\n<\/p>\n

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

            1. \u6709\u54ea\u4e9b\u5e38\u89c1\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\u53ef\u4ee5\u5728Python\u4e2d\u4f7f\u7528\uff1f<\/strong><\/p>\n

            Python\u4f5c\u4e3a\u4e00\u79cd\u9ad8\u7ea7\u7f16\u7a0b\u8bed\u8a00\uff0c\u62e5\u6709\u8bb8\u591a\u6d41\u884c\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\u3002\u5176\u4e2d\u4e00\u4e9b\u5e38\u89c1\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\u5305\u62ec\uff1aMatplotlib\u3001Seaborn\u3001Plotly\u3001Bokeh\u548cAltair\u7b49\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5de5\u5177\u548c\u7528\u6237\u53cb\u597d\u7684\u63a5\u53e3\uff0c\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u521b\u5efa\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\uff0c\u5982\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u6563\u70b9\u56fe\u3001\u70ed\u529b\u56fe\u548c\u5730\u56fe\u7b49\u3002<\/p>\n

            2. Matplotlib\u5e93\u7684\u4e3b\u8981\u529f\u80fd\u548c\u7279\u70b9\u662f\u4ec0\u4e48\uff1f<\/strong><\/p>\n

            Matplotlib\u662fPython\u4e2d\u4f7f\u7528\u6700\u5e7f\u6cdb\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\u4e4b\u4e00\u3002\u8be5\u5e93\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684\u7ed8\u56fe\u529f\u80fd\uff0c\u53ef\u4ee5\u7ed8\u5236\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\u3002Matplotlib\u5177\u6709\u9ad8\u5ea6\u53ef\u5b9a\u5236\u6027\uff0c\u7528\u6237\u53ef\u4ee5\u81ea\u5b9a\u4e49\u56fe\u8868\u7684\u6837\u5f0f\u3001\u7ebf\u6761\u989c\u8272\u3001\u56fe\u4f8b\u548c\u6807\u7b7e\u7b49\u3002\u6b64\u5916\uff0cMatplotlib\u8fd8\u652f\u6301\u5404\u79cd\u8f93\u51fa\u683c\u5f0f\uff0c\u5305\u62ec\u56fe\u7247\u6587\u4ef6\uff08\u5982PNG\u3001JPEG\u548cSVG\u7b49\uff09\uff0c\u4ee5\u53ca\u4ea4\u4e92\u5f0f\u7ed8\u56fe\u3002\u56e0\u6b64\uff0cMatplotlib\u9002\u7528\u4e8e\u5404\u79cd\u6570\u636e\u53ef\u89c6\u5316\u9700\u6c42\uff0c\u5e76\u4e14\u5728\u79d1\u5b66\u7814\u7a76\u548c\u6570\u636e\u5206\u6790\u4e2d\u5e7f\u6cdb\u4f7f\u7528\u3002<\/p>\n

            3. Plotly\u548cBokeh\u8fd9\u4e24\u4e2a\u5e93\u7684\u4e3b\u8981\u533a\u522b\u662f\u4ec0\u4e48\uff1f<\/strong><\/p>\n

            Plotly\u548cBokeh\u90fd\u662f\u57fa\u4e8eWeb\u7684\u4ea4\u4e92\u5f0f\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u53ef\u4ee5\u5728Python\u4e2d\u4f7f\u7528\u3002\u5b83\u4eec\u7684\u4e3b\u8981\u533a\u522b\u5728\u4e8e\u7ed8\u56fe\u548c\u4ea4\u4e92\u6027\u65b9\u9762\u7684\u65b9\u5f0f\u3002<\/p>\n

            Plotly\u4e3a\u7528\u6237\u63d0\u4f9b\u4e86\u9ad8\u5ea6\u4ea4\u4e92\u6027\u7684\u56fe\u8868\uff0c\u53ef\u4ee5\u901a\u8fc7\u9f20\u6807\u60ac\u505c\u3001\u7f29\u653e\u548c\u62d6\u52a8\u7b49\u64cd\u4f5c\u4e0e\u56fe\u8868\u8fdb\u884c\u4e92\u52a8\uff0c\u4ee5\u53ca\u5b9e\u65f6\u66f4\u65b0\u548c\u5206\u4eab\u56fe\u8868\u3002\u6b64\u5916\uff0cPlotly\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5728\u7ebf\u5e73\u53f0\uff0c\u7528\u6237\u53ef\u4ee5\u5c06\u56fe\u8868\u53d1\u5e03\u5230\u4e91\u7aef\uff0c\u5e76\u4e0e\u4ed6\u4eba\u5171\u4eab\u3002<\/p>\n

            Bokeh\u4e5f\u63d0\u4f9b\u4e86\u4ea4\u4e92\u6027\u7684\u56fe\u8868\uff0c\u4f46\u5176\u91cd\u70b9\u662f\u5c06\u6570\u636e\u53ef\u89c6\u5316\u5d4c\u5165\u5230Web\u5e94\u7528\u7a0b\u5e8f\u4e2d\u3002\u7528\u6237\u53ef\u4ee5\u4f7f\u7528Bokeh\u521b\u5efa\u4ea4\u4e92\u5f0f\u548c\u52a8\u6001\u7684\u56fe\u8868\uff0c\u5e76\u5c06\u5b83\u4eec\u5d4c\u5165\u5230Web\u9875\u9762\u4e2d\uff0c\u4ee5\u4fbf\u5728\u7f51\u9875\u4e0a\u8fdb\u884c\u4ea4\u4e92\uff0c\u8fd9\u5728\u6570\u636e\u79d1\u5b66\u548c\u6570\u636e\u62a5\u544a\u65b9\u9762\u975e\u5e38\u6709\u7528\u3002\u540c\u65f6\uff0cBokeh\u8fd8\u652f\u6301Python\u3001R\u3001Julia\u7b49\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\u7684\u96c6\u6210\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\u4e3b\u8981\u5305\u62ecMatplotlib\u3001Seaborn\u3001Plotly\u3001Bokeh\u3001AltAIr […]","protected":false},"author":3,"featured_media":190550,"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\/190539"}],"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=190539"}],"version-history":[{"count":0,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/190539\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/190550"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=190539"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=190539"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=190539"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}