{"id":933201,"date":"2024-12-26T18:11:59","date_gmt":"2024-12-26T10:11:59","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/933201.html"},"modified":"2024-12-26T18:12:01","modified_gmt":"2024-12-26T10:12:01","slug":"python%e5%a6%82%e4%bd%95%e4%bd%bf%e7%94%a8pyecharts","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/933201.html","title":{"rendered":"python\u5982\u4f55\u4f7f\u7528pyecharts"},"content":{"rendered":"

\"python\u5982\u4f55\u4f7f\u7528pyecharts\"<\/p>\n

Python\u4f7f\u7528pyecharts\u4e3b\u8981\u5305\u62ec\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a\u5b89\u88c5pyecharts\u5e93\u3001\u5bfc\u5165\u5e93\u5e76\u9009\u62e9\u5408\u9002\u7684\u56fe\u8868\u7c7b\u578b\u3001\u51c6\u5907\u6570\u636e\u5e76\u751f\u6210\u56fe\u8868\u3001\u901a\u8fc7\u6e32\u67d3\u65b9\u6cd5\u8f93\u51fa\u56fe\u8868\u3002<\/strong>\u5176\u4e2d\uff0c\u5b89\u88c5pyecharts\u5e93\u662f\u6700\u57fa\u7840\u7684\u4e00\u6b65\uff0c\u53ef\u4ee5\u901a\u8fc7pip\u547d\u4ee4\u8f7b\u677e\u5b9e\u73b0\uff1b\u9009\u62e9\u5408\u9002\u7684\u56fe\u8868\u7c7b\u578b\u4e0e\u51c6\u5907\u6570\u636e\u76f4\u63a5\u5173\u7cfb\u5230\u6700\u7ec8\u56fe\u8868\u7684\u5448\u73b0\u6548\u679c\uff1b\u901a\u8fc7\u6e32\u67d3\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5c06\u56fe\u8868\u4fdd\u5b58\u4e3aHTML\u6587\u4ef6\u6216\u76f4\u63a5\u5728Jupyter Notebook\u4e2d\u5c55\u793a\u3002\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4e2d\u7684\u4e00\u6b65\uff0c\u5373\u9009\u62e9\u5408\u9002\u7684\u56fe\u8868\u7c7b\u578b\u3002<\/p>\n<\/p>\n

\u9009\u62e9\u5408\u9002\u7684\u56fe\u8868\u7c7b\u578b<\/strong>\u662f\u4f7f\u7528pyecharts\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\u7684\u5173\u952e\u6b65\u9aa4\u4e4b\u4e00\u3002Pyecharts\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u8868\u7c7b\u578b\uff0c\u5305\u62ec\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u997c\u56fe\u3001\u5730\u56fe\u3001\u6563\u70b9\u56fe\u7b49\uff0c\u6bcf\u79cd\u56fe\u8868\u7c7b\u578b\u9002\u7528\u4e8e\u4e0d\u540c\u7684\u6570\u636e\u5c55\u793a\u9700\u6c42\u3002\u4f8b\u5982\uff0c\u6298\u7ebf\u56fe\u9002\u5408\u5c55\u793a\u6570\u636e\u7684\u53d8\u5316\u8d8b\u52bf\uff0c\u67f1\u72b6\u56fe\u9002\u5408\u6bd4\u8f83\u4e0d\u540c\u7c7b\u522b\u7684\u6570\u636e\u91cf\uff0c\u997c\u56fe\u5219\u9002\u5408\u5c55\u793a\u6570\u636e\u7684\u7ec4\u6210\u6bd4\u4f8b\u3002\u5728\u9009\u62e9\u56fe\u8868\u7c7b\u578b\u65f6\uff0c\u9700\u8981\u6839\u636e\u6570\u636e\u7684\u7279\u6027\u548c\u5c55\u793a\u76ee\u7684\u6765\u8fdb\u884c\u5408\u7406\u9009\u62e9\uff0c\u4ee5\u4fbf\u6e05\u6670\u5730\u4f20\u8fbe\u4fe1\u606f\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u6df1\u5165\u63a2\u8ba8Python\u4f7f\u7528pyecharts\u7684\u5404\u4e2a\u65b9\u9762\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b89\u88c5\u4e0e\u914d\u7f6e<\/p>\n<\/p>\n

\u5728\u4f7f\u7528pyecharts\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u786e\u4fddPython\u73af\u5883\u4e2d\u5df2\u5b89\u88c5pyecharts\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install pyecharts<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7\u5bfc\u5165pyecharts\u6765\u9a8c\u8bc1\u5b89\u88c5\u662f\u5426\u6210\u529f\uff1a<\/p>\n<\/p>\n
from pyecharts.charts import Bar<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6b64\u5916\uff0c\u5982\u679c\u4f60\u5e0c\u671b\u5728Jupyter Notebook\u4e2d\u76f4\u63a5\u5c55\u793a\u56fe\u8868\uff0c\u8fd8\u9700\u8981\u5b89\u88c5notebook<\/code>\u548cjupyter_echarts_pypkg<\/code>\uff1a<\/p>\n<\/p>\n
pip install notebook<\/p>\n
pip install jupyter_echarts_pypkg<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u521b\u5efa\u57fa\u672c\u56fe\u8868<\/p>\n<\/p>\n
    \n
  1. \u6298\u7ebf\u56fe<\/strong><\/li>\n<\/ol>\n
    \u6298\u7ebf\u56fe\u901a\u5e38\u7528\u4e8e\u5c55\u793a\u6570\u636e\u968f\u65f6\u95f4\u7684\u53d8\u5316\u8d8b\u52bf\u3002\u4f7f\u7528pyecharts\u521b\u5efa\u6298\u7ebf\u56fe\u975e\u5e38\u7b80\u5355\u3002\u9996\u5148\u5bfc\u5165Line<\/code>\u7c7b\uff0c\u7136\u540e\u901a\u8fc7add_xaxis<\/code>\u548cadd_yaxis<\/code>\u65b9\u6cd5\u6dfb\u52a0\u6570\u636e\uff0c\u6700\u540e\u901a\u8fc7render<\/code>\u65b9\u6cd5\u751f\u6210\u56fe\u8868\u3002<\/p>\n<\/p>\n
    from pyecharts.charts import Line<\/p>\n
    from pyecharts import options as opts<\/p>\n
    line = Line()<\/p>\n
    line.add_xaxis(["Jan", "Feb", "Mar", "Apr", "May", "Jun"])<\/p>\n
    line.add_yaxis("Sales", [150, 200, 250, 300, 350, 400])<\/p>\n
    line.set_global_opts(title_opts=opts.TitleOpts(title="Monthly Sales"))<\/p>\n
    line.render("line_chart.html")<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u67f1\u72b6\u56fe<\/strong><\/li>\n<\/ol>\n
      \u67f1\u72b6\u56fe\u9002\u5408\u7528\u4e8e\u4e0d\u540c\u7c7b\u522b\u6570\u636e\u7684\u6bd4\u8f83\u3002\u5728pyecharts\u4e2d\uff0c\u521b\u5efa\u67f1\u72b6\u56fe\u7684\u6b65\u9aa4\u4e0e\u6298\u7ebf\u56fe\u7c7b\u4f3c\uff0c\u4f7f\u7528Bar<\/code>\u7c7b\u3002<\/p>\n<\/p>\n
      from pyecharts.charts import Bar<\/p>\n
      bar = Bar()<\/p>\n
      bar.add_xaxis(["Product A", "Product B", "Product C"])<\/p>\n
      bar.add_yaxis("Sales", [100, 200, 150])<\/p>\n
      bar.set_global_opts(title_opts=opts.TitleOpts(title="Product Sales Comparison"))<\/p>\n
      bar.render("bar_chart.html")<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u4e09\u3001\u4e30\u5bcc\u56fe\u8868\u6837\u5f0f<\/p>\n<\/p>\n
        \n
      1. \u6dfb\u52a0\u56fe\u4f8b\u4e0e\u6807\u7b7e<\/strong><\/li>\n<\/ol>\n
        \u56fe\u4f8b\u548c\u6807\u7b7e\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u66f4\u597d\u5730\u7406\u89e3\u56fe\u8868\u4e2d\u7684\u6570\u636e\u3002\u5728pyecharts\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7set_series_opts<\/code>\u65b9\u6cd5\u4e3a\u56fe\u8868\u6dfb\u52a0\u6807\u7b7e\u3002<\/p>\n<\/p>\n
        line.set_series_opts(label_opts=opts.LabelOpts(is_show=True))<\/p>\n
        <\/code><\/pre>\n<\/p>\n
          \n
        1. \u8c03\u6574\u989c\u8272\u4e0e\u6837\u5f0f<\/strong><\/li>\n<\/ol>\n
          pyecharts\u5141\u8bb8\u7528\u6237\u81ea\u5b9a\u4e49\u56fe\u8868\u7684\u989c\u8272\u548c\u6837\u5f0f\uff0c\u4ee5\u4fbf\u4e0e\u62a5\u544a\u6216\u7f51\u7ad9\u7684\u6574\u4f53\u98ce\u683c\u4fdd\u6301\u4e00\u81f4\u3002\u53ef\u4ee5\u901a\u8fc7set_global_opts<\/code>\u65b9\u6cd5\u8bbe\u7f6e\u989c\u8272\u4e3b\u9898\u3002<\/p>\n<\/p>\n
          line.set_colors(["#5793f3", "#d14a61", "#675bba"])<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u56db\u3001\u4ea4\u4e92\u4e0e\u52a8\u753b\u6548\u679c<\/p>\n<\/p>\n
          pyecharts\u4e0d\u4ec5\u652f\u6301\u9759\u6001\u56fe\u8868\uff0c\u8fd8\u652f\u6301\u4e30\u5bcc\u7684\u4ea4\u4e92\u4e0e\u52a8\u753b\u6548\u679c\u3002\u901a\u8fc7\u8bbe\u7f6etoolbox_opts<\/code>\u548ctooltip_opts<\/code>\uff0c\u53ef\u4ee5\u4e3a\u7528\u6237\u63d0\u4f9b\u66f4\u52a0\u53cb\u597d\u7684\u4ea4\u4e92\u4f53\u9a8c\u3002<\/p>\n<\/p>\n
            \n
          1. \u5de5\u5177\u7bb1<\/strong><\/li>\n<\/ol>\n
            \u5de5\u5177\u7bb1\u53ef\u4ee5\u4e3a\u7528\u6237\u63d0\u4f9b\u4e0b\u8f7d\u3001\u7f29\u653e\u7b49\u529f\u80fd\uff0c\u63d0\u5347\u7528\u6237\u4f53\u9a8c\u3002<\/p>\n<\/p>\n
            line.set_global_opts(<\/p>\n
                toolbox_opts=opts.ToolboxOpts(is_show=True)<\/p>\n
            )<\/p>\n
            <\/code><\/pre>\n<\/p>\n
              \n
            1. \u63d0\u793a\u6846<\/strong><\/li>\n<\/ol>\n
              \u63d0\u793a\u6846\u7528\u4e8e\u5c55\u793a\u6570\u636e\u70b9\u7684\u8be6\u7ec6\u4fe1\u606f\uff0c\u53ef\u4ee5\u901a\u8fc7tooltip_opts<\/code>\u8fdb\u884c\u5b9a\u5236\u3002<\/p>\n<\/p>\n
              line.set_series_opts(<\/p>\n
                  tooltip_opts=opts.TooltipOpts(trigger="axis", axis_pointer_type="cross")<\/p>\n
              )<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u4e94\u3001\u8f93\u51fa\u4e0e\u5c55\u793a<\/p>\n<\/p>\n
                \n
              1. \u8f93\u51fa\u4e3aHTML\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n
                \u901a\u8fc7render<\/code>\u65b9\u6cd5\uff0cpyecharts\u53ef\u4ee5\u5c06\u751f\u6210\u7684\u56fe\u8868\u5bfc\u51fa\u4e3aHTML\u6587\u4ef6\uff0c\u4fbf\u4e8e\u5206\u4eab\u4e0e\u5c55\u793a\u3002<\/p>\n<\/p>\n
                line.render("line_chart.html")<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                  \n
                1. \u5728Jupyter Notebook\u4e2d\u5c55\u793a<\/strong><\/li>\n<\/ol>\n
                  \u5982\u679c\u4f60\u5728Jupyter Notebook\u4e2d\u5de5\u4f5c\uff0c\u53ef\u4ee5\u76f4\u63a5\u8c03\u7528render_notebook<\/code>\u65b9\u6cd5\u5c06\u56fe\u8868\u5d4c\u5165\u5230\u7b14\u8bb0\u672c\u4e2d\u3002<\/p>\n<\/p>\n
                  line.render_notebook()<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u516d\u3001\u8fdb\u9636\u5e94\u7528<\/p>\n<\/p>\n
                    \n
                  1. \u5730\u56fe\u53ef\u89c6\u5316<\/strong><\/li>\n<\/ol>\n
                    pyecharts\u652f\u6301\u591a\u79cd\u5730\u7406\u6570\u636e\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u5982\u4e2d\u56fd\u5730\u56fe\u548c\u4e16\u754c\u5730\u56fe\uff0c\u53ef\u4ee5\u7528\u4e8e\u5730\u7406\u4fe1\u606f\u7684\u5c55\u793a\u3002<\/p>\n<\/p>\n
                    from pyecharts.charts import Map<\/p>\n
                    data = [("Beijing", 100), ("ShanghAI<\/a>", 80), ("Guangzhou", 60)]<\/p>\n
                    map_chart = Map()<\/p>\n
                    map_chart.add("City Data", data, "china")<\/p>\n
                    map_chart.set_global_opts(<\/p>\n
                        title_opts=opts.TitleOpts(title="City Data Visualization"),<\/p>\n
                        visualmap_opts=opts.VisualMapOpts(max_=100)<\/p>\n
                    )<\/p>\n
                    map_chart.render("map_chart.html")<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                      \n
                    1. \u6570\u636e\u52a8\u6001\u66f4\u65b0<\/strong><\/li>\n<\/ol>\n
                      \u901a\u8fc7\u4f7f\u7528pyecharts\u7684update<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5b9e\u73b0\u56fe\u8868\u6570\u636e\u7684\u52a8\u6001\u66f4\u65b0\uff0c\u4ee5\u4fbf\u4e8e\u5b9e\u65f6\u6570\u636e\u5c55\u793a\u3002<\/p>\n<\/p>\n
                      line.update(<\/p>\n
                          xaxis_data=["Jul", "Aug", "Sep"],<\/p>\n
                          yaxis_data=[450, 500, 550]<\/p>\n
                      )<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                        \n
                      1. \u591a\u56fe\u8868\u7ec4\u5408<\/strong><\/li>\n<\/ol>\n
                        pyecharts\u652f\u6301\u5c06\u591a\u79cd\u56fe\u8868\u7ec4\u5408\u5728\u4e00\u4e2a\u9875\u9762\u4e2d\uff0c\u4ee5\u4fbf\u4e8e\u7efc\u5408\u5c55\u793a\u591a\u7ef4\u5ea6\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
                        from pyecharts.charts import Grid<\/p>\n
                        grid = Grid()<\/p>\n
                        grid.add(line, grid_opts=opts.GridOpts(pos_left="55%"))<\/p>\n
                        grid.add(bar, grid_opts=opts.GridOpts(pos_right="55%"))<\/p>\n
                        grid.render("grid_chart.html")<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                        \u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\u7684\u8be6\u7ec6\u8bf4\u660e\uff0c\u6211\u4eec\u53ef\u4ee5\u5145\u5206\u5229\u7528pyecharts\u7684\u529f\u80fd\uff0c\u521b\u5efa\u51fa\u4e30\u5bcc\u591a\u5f69\u3001\u5177\u6709\u4ea4\u4e92\u6548\u679c\u7684\u6570\u636e\u53ef\u89c6\u5316\u56fe\u8868\u3002\u65e0\u8bba\u662f\u7528\u4e8e\u5546\u4e1a\u62a5\u544a\uff0c\u8fd8\u662f\u5b66\u672f\u7814\u7a76\uff0cpyecharts\u90fd\u80fd\u63d0\u4f9b\u5f3a\u6709\u529b\u7684\u652f\u6301\uff0c\u5e2e\u52a9\u7528\u6237\u66f4\u597d\u5730\u5206\u6790\u548c\u5c55\u793a\u6570\u636e\u3002<\/p>\n<\/p>\n
                        \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                         \u5982\u4f55\u5b89\u88c5pyecharts\u5e93\u4ee5\u4fbf\u5728Python\u4e2d\u4f7f\u7528\uff1f<\/strong>
                        \u8981\u5728Python\u4e2d\u4f7f\u7528pyecharts\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5b89\u88c5\u4e86\u8be5\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7Python\u7684\u5305\u7ba1\u7406\u5de5\u5177pip\u6765\u5b89\u88c5\u3002\u5728\u547d\u4ee4\u884c\u4e2d\u8f93\u5165pip install pyecharts<\/code>\uff0c\u6309\u56de\u8f66\u952e\u5373\u53ef\u5b8c\u6210\u5b89\u88c5\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u5728\u4f60\u7684Python\u811a\u672c\u4e2d\u5bfc\u5165pyecharts\u5e93\uff0c\u5f00\u59cb\u521b\u5efa\u56fe\u8868\u3002<\/p>\n
                        pyecharts\u652f\u6301\u54ea\u4e9b\u7c7b\u578b\u7684\u56fe\u8868\uff1f<\/strong>
                        pyecharts\u652f\u6301\u591a\u79cd\u7c7b\u578b\u7684\u56fe\u8868\uff0c\u5305\u62ec\u4f46\u4e0d\u9650\u4e8e\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u997c\u56fe\u3001\u6563\u70b9\u56fe\u3001\u96f7\u8fbe\u56fe\u7b49\u3002\u7528\u6237\u53ef\u4ee5\u6839\u636e\u6570\u636e\u7684\u7279\u70b9\u548c\u5c55\u793a\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u56fe\u8868\u7c7b\u578b\u3002\u6b64\u5916\uff0cpyecharts\u8fd8\u652f\u6301\u4e30\u5bcc\u7684\u56fe\u8868\u81ea\u5b9a\u4e49\u9009\u9879\uff0c\u4f8b\u5982\u989c\u8272\u3001\u6837\u5f0f\u548c\u6807\u7b7e\u7b49\uff0c\u5e2e\u52a9\u7528\u6237\u5236\u4f5c\u51fa\u66f4\u5177\u89c6\u89c9\u51b2\u51fb\u529b\u7684\u56fe\u8868\u3002<\/p>\n
                        \u5982\u4f55\u5728Jupyter Notebook\u4e2d\u4f7f\u7528pyecharts\u7ed8\u5236\u56fe\u8868\uff1f<\/strong>
                        \u5728Jupyter Notebook\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528pyecharts<\/code>\u5e93\u76f4\u63a5\u7ed8\u5236\u56fe\u8868\u3002\u9996\u5148\u786e\u4fdd\u5b89\u88c5\u4e86pyecharts<\/code>\uff0c\u7136\u540e\u5728Notebook\u4e2d\u8f93\u5165\u76f8\u5173\u4ee3\u7801\u3002\u4f8b\u5982\uff0c\u4f7f\u7528from pyecharts import options as opts<\/code>\u548cfrom pyecharts.charts import Line<\/code>\u6765\u521b\u5efa\u6298\u7ebf\u56fe\u3002\u7ed8\u5236\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7chart.render_notebook()<\/code>\u6765\u5728Notebook\u4e2d\u663e\u793a\u56fe\u8868\u3002\u8fd9\u6837\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\u548c\u5206\u6790\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u4f7f\u7528pyecharts\u4e3b\u8981\u5305\u62ec\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a\u5b89\u88c5pyecharts\u5e93\u3001\u5bfc\u5165\u5e93\u5e76\u9009\u62e9\u5408\u9002\u7684\u56fe\u8868\u7c7b\u578b\u3001 […]","protected":false},"author":3,"featured_media":933204,"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\/933201"}],"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=933201"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/933201\/revisions"}],"predecessor-version":[{"id":933205,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/933201\/revisions\/933205"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/933204"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=933201"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=933201"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=933201"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}