{"id":1159934,"date":"2025-01-13T18:58:52","date_gmt":"2025-01-13T10:58:52","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1159934.html"},"modified":"2025-01-13T18:58:54","modified_gmt":"2025-01-13T10:58:54","slug":"python%e5%a6%82%e4%bd%95%e5%8e%bb%e6%8e%89%e5%9d%90%e6%a0%87%e8%bd%b4","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1159934.html","title":{"rendered":"python\u5982\u4f55\u53bb\u6389\u5750\u6807\u8f74"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25201532\/a90bdf5b-079d-4187-b741-8f300a36cdc8.webp\" alt=\"python\u5982\u4f55\u53bb\u6389\u5750\u6807\u8f74\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u8f7b\u677e\u53bb\u6389\u5750\u6807\u8f74\u3002\u5177\u4f53\u65b9\u6cd5\u5305\u62ec\u8bbe\u7f6e\u8f74\u5bf9\u8c61\u7684\u53ef\u89c1\u6027\u5c5e\u6027\u3001\u4f7f\u7528<code>axis<\/code>\u65b9\u6cd5\u4ee5\u53ca\u8c03\u6574<code>spines<\/code>\u5c5e\u6027\u7b49\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528<code>axis<\/code>\u65b9\u6cd5\u662f\u6700\u7b80\u5355\u4e14\u5e38\u7528\u7684\u65b9\u5f0f\u3002\u5728Matplotlib\u4e2d\uff0c<code>axis(&#39;off&#39;)<\/code>\u53ef\u4ee5\u5b8c\u5168\u9690\u85cf\u5750\u6807\u8f74\u53ca\u5176\u6807\u7b7e\uff0c\u8fd9\u4f7f\u5f97\u56fe\u8868\u66f4\u4e3a\u7b80\u6d01\u3002<\/p>\n<\/p>\n<p><p>\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u7ed8\u5236\u4e86\u4e00\u5e45\u7b80\u5355\u7684\u56fe\u8868\uff0c\u5e76\u5e0c\u671b\u53bb\u6389\u5750\u6807\u8f74\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n<p>x = [1, 2, 3, 4, 5]<\/p>\n<p>y = [2, 3, 5, 7, 11]<\/p>\n<h2><strong>\u7ed8\u5236\u56fe\u8868<\/strong><\/h2>\n<p>plt.plot(x, y)<\/p>\n<h2><strong>\u53bb\u6389\u5750\u6807\u8f74<\/strong><\/h2>\n<p>plt.axis(&#39;off&#39;)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c<code>plt.axis(&#39;off&#39;)<\/code>\u6307\u4ee4\u76f4\u63a5\u53bb\u6389\u4e86\u6574\u4e2a\u56fe\u8868\u7684\u5750\u6807\u8f74\uff0c\u5305\u62ec\u523b\u5ea6\u3001\u6807\u7b7e\u7b49\u6240\u6709\u76f8\u5173\u5143\u7d20\u3002\u8fd9\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\u975e\u5e38\u6709\u7528\uff0c\u4f8b\u5982\u5728\u7ed8\u5236\u5355\u7eaf\u7684\u56fe\u7247\u6216\u67d0\u4e9b\u4e0d\u9700\u8981\u5750\u6807\u7cfb\u7684\u56fe\u8868\u65f6\u3002<\/p>\n<\/p>\n<hr>\n<p><h3>\u4e00\u3001\u4f7f\u7528Matplotlib\u53bb\u6389\u5750\u6807\u8f74<\/h3>\n<\/p>\n<p><h4>1. \u4f7f\u7528<code>axis<\/code>\u65b9\u6cd5<\/h4>\n<\/p>\n<p><p><code>axis<\/code>\u65b9\u6cd5\u662f\u6700\u7b80\u5355\u7684\u4e00\u79cd\u65b9\u6cd5\uff0c\u53ef\u4ee5\u76f4\u63a5\u53bb\u6389\u6574\u4e2a\u5750\u6807\u8f74\u3002\u5177\u4f53\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n<p>x = [1, 2, 3, 4, 5]<\/p>\n<p>y = [2, 3, 5, 7, 11]<\/p>\n<h2><strong>\u7ed8\u5236\u56fe\u8868<\/strong><\/h2>\n<p>plt.plot(x, y)<\/p>\n<h2><strong>\u53bb\u6389\u5750\u6807\u8f74<\/strong><\/h2>\n<p>plt.axis(&#39;off&#39;)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c<code>plt.axis(&#39;off&#39;)<\/code>\u7684\u4f5c\u7528\u662f\u5b8c\u5168\u9690\u85cf\u5750\u6807\u8f74\u53ca\u5176\u6807\u7b7e\uff0c\u4f7f\u5f97\u56fe\u8868\u66f4\u52a0\u7b80\u6d01\u3002<\/p>\n<\/p>\n<p><h4>2. \u8bbe\u7f6e\u8f74\u5bf9\u8c61\u7684\u53ef\u89c1\u6027\u5c5e\u6027<\/h4>\n<\/p>\n<p><p>\u5982\u679c\u4f60\u53ea\u60f3\u53bb\u6389\u67d0\u4e2a\u7279\u5b9a\u8f74\uff0c\u53ef\u4ee5\u8bbe\u7f6e\u8be5\u8f74\u5bf9\u8c61\u7684\u53ef\u89c1\u6027\u5c5e\u6027\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n<p>x = [1, 2, 3, 4, 5]<\/p>\n<p>y = [2, 3, 5, 7, 11]<\/p>\n<h2><strong>\u7ed8\u5236\u56fe\u8868<\/strong><\/h2>\n<p>plt.plot(x, y)<\/p>\n<h2><strong>\u83b7\u53d6\u5f53\u524d\u8f74\u5bf9\u8c61<\/strong><\/h2>\n<p>ax = plt.gca()<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u4e0d\u53ef\u89c1<\/strong><\/h2>\n<p>ax.get_xaxis().set_visible(False)<\/p>\n<p>ax.get_yaxis().set_visible(False)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7<code>plt.gca()<\/code>\u83b7\u53d6\u5f53\u524d\u7684\u8f74\u5bf9\u8c61\uff0c\u5e76\u8bbe\u7f6e\u5176x\u8f74\u548cy\u8f74\u7684\u53ef\u89c1\u6027\u4e3a<code>False<\/code>\uff0c\u4ece\u800c\u9690\u85cf\u4e86\u8fd9\u4e9b\u5750\u6807\u8f74\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u8c03\u6574<code>spines<\/code>\u5c5e\u6027<\/h3>\n<\/p>\n<p><p><code>spines<\/code>\u5c5e\u6027\u63a7\u5236\u7684\u662f\u56fe\u8868\u7684\u8fb9\u6846\uff0c\u4e5f\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u8fd9\u4e9b\u5c5e\u6027\u6765\u53bb\u6389\u5750\u6807\u8f74\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n<p>x = [1, 2, 3, 4, 5]<\/p>\n<p>y = [2, 3, 5, 7, 11]<\/p>\n<h2><strong>\u7ed8\u5236\u56fe\u8868<\/strong><\/h2>\n<p>plt.plot(x, y)<\/p>\n<h2><strong>\u83b7\u53d6\u5f53\u524d\u8f74\u5bf9\u8c61<\/strong><\/h2>\n<p>ax = plt.gca()<\/p>\n<h2><strong>\u53bb\u6389\u56db\u5468\u7684\u8fb9\u6846<\/strong><\/h2>\n<p>ax.spines[&#39;top&#39;].set_visible(False)<\/p>\n<p>ax.spines[&#39;right&#39;].set_visible(False)<\/p>\n<p>ax.spines[&#39;left&#39;].set_visible(False)<\/p>\n<p>ax.spines[&#39;bottom&#39;].set_visible(False)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u901a\u8fc7\u8bbe\u7f6e\u5404\u4e2a\u8fb9\u6846\u7684\u53ef\u89c1\u6027\u4e3a<code>False<\/code>\uff0c\u6211\u4eec\u53ef\u4ee5\u53bb\u6389\u56fe\u8868\u7684\u56db\u5468\u8fb9\u6846\uff0c\u4f7f\u5f97\u56fe\u8868\u66f4\u52a0\u7b80\u6d01\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u9690\u85cf\u523b\u5ea6\u548c\u523b\u5ea6\u6807\u7b7e<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u53bb\u6389\u5750\u6807\u8f74\uff0c\u6709\u65f6\u4f60\u53ef\u80fd\u53ea\u60f3\u9690\u85cf\u523b\u5ea6\u6216\u523b\u5ea6\u6807\u7b7e\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n<p>x = [1, 2, 3, 4, 5]<\/p>\n<p>y = [2, 3, 5, 7, 11]<\/p>\n<h2><strong>\u7ed8\u5236\u56fe\u8868<\/strong><\/h2>\n<p>plt.plot(x, y)<\/p>\n<h2><strong>\u83b7\u53d6\u5f53\u524d\u8f74\u5bf9\u8c61<\/strong><\/h2>\n<p>ax = plt.gca()<\/p>\n<h2><strong>\u9690\u85cfx\u8f74\u548cy\u8f74\u7684\u523b\u5ea6<\/strong><\/h2>\n<p>ax.set_xticks([])<\/p>\n<p>ax.set_yticks([])<\/p>\n<h2><strong>\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u901a\u8fc7<code>ax.set_xticks([])<\/code>\u548c<code>ax.set_yticks([])<\/code>\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u9690\u85cfx\u8f74\u548cy\u8f74\u7684\u523b\u5ea6\uff0c\u4f7f\u5f97\u56fe\u8868\u66f4\u52a0\u7b80\u6d01\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u7ed3\u5408\u591a\u79cd\u65b9\u6cd5<\/h3>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u7ed3\u5408\u591a\u79cd\u65b9\u6cd5\u6765\u53bb\u6389\u5750\u6807\u8f74\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n<p>x = [1, 2, 3, 4, 5]<\/p>\n<p>y = [2, 3, 5, 7, 11]<\/p>\n<h2><strong>\u7ed8\u5236\u56fe\u8868<\/strong><\/h2>\n<p>plt.plot(x, y)<\/p>\n<h2><strong>\u83b7\u53d6\u5f53\u524d\u8f74\u5bf9\u8c61<\/strong><\/h2>\n<p>ax = plt.gca()<\/p>\n<h2><strong>\u53bb\u6389\u56db\u5468\u7684\u8fb9\u6846<\/strong><\/h2>\n<p>ax.spines[&#39;top&#39;].set_visible(False)<\/p>\n<p>ax.spines[&#39;right&#39;].set_visible(False)<\/p>\n<p>ax.spines[&#39;left&#39;].set_visible(False)<\/p>\n<p>ax.spines[&#39;bottom&#39;].set_visible(False)<\/p>\n<h2><strong>\u9690\u85cfx\u8f74\u548cy\u8f74\u7684\u523b\u5ea6<\/strong><\/h2>\n<p>ax.set_xticks([])<\/p>\n<p>ax.set_yticks([])<\/p>\n<h2><strong>\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u7efc\u5408\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u7ed3\u5408\u4e86\u53bb\u6389\u8fb9\u6846\u548c\u9690\u85cf\u523b\u5ea6\u7684\u65b9\u6cd5\uff0c\u4f7f\u5f97\u56fe\u8868\u66f4\u52a0\u7b80\u6d01\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n<p><h4>1. \u521b\u5efa\u7eaf\u56fe\u7247<\/h4>\n<\/p>\n<p><p>\u5728\u67d0\u4e9b\u5e94\u7528\u573a\u666f\u4e0b\uff0c\u4f8b\u5982\u521b\u5efa\u7eaf\u56fe\u7247\u7528\u4e8e\u62a5\u544a\u6216\u5c55\u793a\u65f6\uff0c\u4f60\u53ef\u80fd\u4e0d\u9700\u8981\u663e\u793a\u5750\u6807\u8f74\u3002\u53bb\u6389\u5750\u6807\u8f74\u53ef\u4ee5\u4f7f\u5f97\u56fe\u7247\u66f4\u52a0\u7b80\u6d01\u548c\u7f8e\u89c2\u3002<\/p>\n<\/p>\n<p><h4>2. \u6570\u636e\u53ef\u89c6\u5316\u4e2d\u7684\u7279\u6b8a\u9700\u6c42<\/h4>\n<\/p>\n<p><p>\u5728\u6570\u636e\u53ef\u89c6\u5316\u4e2d\uff0c\u6709\u65f6\u4e3a\u4e86\u7a81\u51fa\u67d0\u4e9b\u7279\u5b9a\u4fe1\u606f\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u53bb\u6389\u5750\u6807\u8f74\u3002\u4f8b\u5982\u5728\u7ed8\u5236\u67d0\u4e9b\u65e0\u5750\u6807\u7cfb\u7684\u56fe\u8868\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528\u4e0a\u8ff0\u65b9\u6cd5\u53bb\u6389\u5750\u6807\u8f74\uff0c\u4f7f\u5f97\u56fe\u8868\u66f4\u52a0\u7b26\u5408\u9700\u6c42\u3002<\/p>\n<\/p>\n<p><h3>\u516d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u5728Python\u4e2d\uff0c\u901a\u8fc7Matplotlib\u5e93\u63d0\u4f9b\u7684\u591a\u79cd\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u53bb\u6389\u5750\u6807\u8f74\uff0c\u5177\u4f53\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528<code>axis<\/code>\u65b9\u6cd5\u3001\u8bbe\u7f6e\u8f74\u5bf9\u8c61\u7684\u53ef\u89c1\u6027\u5c5e\u6027\u3001\u8c03\u6574<code>spines<\/code>\u5c5e\u6027\u4ee5\u53ca\u9690\u85cf\u523b\u5ea6\u548c\u523b\u5ea6\u6807\u7b7e\u7b49\u3002\u8fd9\u4e9b\u65b9\u6cd5\u5404\u6709\u4f18\u52a3\uff0c\u9002\u7528\u4e8e\u4e0d\u540c\u7684\u5e94\u7528\u573a\u666f\u3002\u5e0c\u671b\u901a\u8fc7\u672c\u6587\u7684\u8be6\u7ec6\u4ecb\u7ecd\uff0c\u4f60\u80fd\u591f\u6839\u636e\u5b9e\u9645\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u6765\u53bb\u6389\u5750\u6807\u8f74\uff0c\u4f7f\u5f97\u4f60\u7684\u56fe\u8868\u66f4\u52a0\u7b80\u6d01\u548c\u7f8e\u89c2\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5b8c\u5168\u53bb\u6389\u5750\u6807\u8f74\u7684\u523b\u5ea6\u548c\u6807\u7b7e\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u5b8c\u5168\u53bb\u6389\u5750\u6807\u8f74\u7684\u523b\u5ea6\u548c\u6807\u7b7e\u3002\u53ef\u4ee5\u901a\u8fc7\u8c03\u7528<code>plt.axis(&#39;off&#39;)<\/code>\u6765\u9690\u85cf\u5750\u6807\u8f74\u3002\u8fd9\u5c06\u4f7f\u5f97\u56fe\u5f62\u4e2d\u7684\u5750\u6807\u8f74\u548c\u6240\u6709\u76f8\u5173\u7684\u523b\u5ea6\u548c\u6807\u7b7e\u90fd\u4e0d\u518d\u663e\u793a\u3002<\/p>\n<p><strong>\u4f7f\u7528Seaborn\u5e93\u65f6\uff0c\u5982\u4f55\u9690\u85cf\u5750\u6807\u8f74\uff1f<\/strong><br \/>\u5982\u679c\u60a8\u5728\u4f7f\u7528Seaborn\u5e93\u7ed8\u56fe\uff0c\u53ef\u4ee5\u901a\u8fc7<code>plt.gca().axes.get_xaxis().set_visible(False)<\/code>\u548c<code>plt.gca().axes.get_yaxis().set_visible(False)<\/code>\u6765\u5206\u522b\u9690\u85cfx\u8f74\u548cy\u8f74\u3002\u8fd9\u79cd\u65b9\u6cd5\u8ba9\u60a8\u6709\u66f4\u5927\u7684\u7075\u6d3b\u6027\uff0c\u53ef\u4ee5\u9009\u62e9\u6027\u5730\u9690\u85cf\u67d0\u4e00\u8f74\u3002<\/p>\n<p><strong>\u5982\u4f55\u81ea\u5b9a\u4e49\u5750\u6807\u8f74\u7684\u663e\u793a\u98ce\u683c\uff1f<\/strong><br \/>\u8981\u81ea\u5b9a\u4e49\u5750\u6807\u8f74\u7684\u6837\u5f0f\u800c\u4e0d\u662f\u5b8c\u5168\u53bb\u6389\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u4e2d\u7684<code>plt.tick_params()<\/code>\u51fd\u6570\u3002\u901a\u8fc7\u8bbe\u7f6e<code>which=&#39;both&#39;<\/code>\u548c<code>bottom=False<\/code>\u6216<code>left=False<\/code>\uff0c\u53ef\u4ee5\u53ea\u9690\u85cf\u7279\u5b9a\u7684\u523b\u5ea6\u7ebf\u3002\u6b64\u5916\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e<code>labelbottom=False<\/code>\u548c<code>labelleft=False<\/code>\u6765\u53bb\u6389\u6807\u7b7e\uff0c\u7075\u6d3b\u8c03\u6574\u5750\u6807\u8f74\u7684\u53ef\u89c6\u5316\u6548\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u8f7b\u677e\u53bb\u6389\u5750\u6807\u8f74\u3002\u5177\u4f53\u65b9\u6cd5\u5305\u62ec\u8bbe\u7f6e\u8f74\u5bf9\u8c61\u7684\u53ef\u89c1\u6027\u5c5e\u6027\u3001\u4f7f\u7528a [&hellip;]","protected":false},"author":3,"featured_media":1159941,"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\/1159934"}],"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=1159934"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1159934\/revisions"}],"predecessor-version":[{"id":1159944,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1159934\/revisions\/1159944"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1159941"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1159934"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1159934"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1159934"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}