{"id":928114,"date":"2024-12-26T16:28:17","date_gmt":"2024-12-26T08:28:17","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/928114.html"},"modified":"2024-12-26T16:28:19","modified_gmt":"2024-12-26T08:28:19","slug":"python-%e5%90%91%e9%87%8f%e5%a6%82%e4%bd%95%e8%a1%a8%e7%a4%ba","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/928114.html","title":{"rendered":"python \u5411\u91cf\u5982\u4f55\u8868\u793a"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25063941\/ca1141d2-25e4-4aa5-96a9-2c1184e08d21.webp\" alt=\"python \u5411\u91cf\u5982\u4f55\u8868\u793a\" \/><\/p>\n<p><p> <strong>Python\u5411\u91cf\u8868\u793a\u901a\u5e38\u6709\u51e0\u79cd\u65b9\u5f0f\uff1a\u4f7f\u7528\u5217\u8868\u3001\u4f7f\u7528NumPy\u5e93\u4e2d\u7684\u6570\u7ec4\u3001\u4f7f\u7528Pandas\u5e93\u4e2d\u7684Series<\/strong>\u3002\u5176\u4e2d\uff0cNumPy\u5e93\u662f\u6700\u5e38\u7528\u7684\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u7ec4\u8ba1\u7b97\u529f\u80fd\uff0c\u5e76\u4e14\u652f\u6301\u5404\u79cd\u6570\u5b66\u64cd\u4f5c\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63a2\u8ba8\u4f7f\u7528NumPy\u5e93\u6765\u8868\u793a\u548c\u64cd\u4f5c\u5411\u91cf\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001NUMPY\u5e93\u6982\u8ff0<\/h3>\n<\/p>\n<p><p>NumPy\u662fPython\u79d1\u5b66\u8ba1\u7b97\u7684\u57fa\u7840\u5e93\uff0c\u63d0\u4f9b\u4e86\u652f\u6301\u591a\u7ef4\u6570\u7ec4\u5bf9\u8c61\u7684\u529f\u80fd\u3002NumPy\u7684\u6570\u7ec4\u5bf9\u8c61\u79f0\u4e3a<code>ndarray<\/code>\uff0c\u5b83\u6bd4Python\u5185\u7f6e\u7684\u5217\u8868\u66f4\u9ad8\u6548\uff0c\u7279\u522b\u662f\u5728\u9700\u8981\u8fdb\u884c\u5927\u91cf\u6570\u5b66\u8ba1\u7b97\u65f6\u3002\u4f7f\u7528NumPy\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u5411\u91cf\u548c\u77e9\u9635\u7684\u64cd\u4f5c\uff0c\u8fd9\u4f7f\u5176\u6210\u4e3a\u5904\u7406\u5411\u91cf\u7684\u7406\u60f3\u9009\u62e9\u3002<\/p>\n<\/p>\n<p><h4>1.1 \u5b89\u88c5NumPy\u5e93<\/h4>\n<\/p>\n<p><p>\u5728\u5f00\u59cb\u4f7f\u7528NumPy\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5df2\u5b89\u88c5\u8be5\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u4f7f\u7528pip\u5de5\u5177\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install numpy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5373\u53ef\u5728Python\u4e2d\u5bfc\u5165NumPy\u5e76\u5f00\u59cb\u4f7f\u7528\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528NUMPY\u8868\u793a\u5411\u91cf<\/h3>\n<\/p>\n<p><h4>2.1 \u521b\u5efa\u4e00\u7ef4\u6570\u7ec4<\/h4>\n<\/p>\n<p><p>\u5728NumPy\u4e2d\uff0c\u5411\u91cf\u901a\u5e38\u88ab\u8868\u793a\u4e3a\u4e00\u7ef4\u6570\u7ec4\u3002\u53ef\u4ee5\u901a\u8fc7<code>numpy.array()<\/code>\u51fd\u6570\u5c06Python\u5217\u8868\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u4f7f\u7528\u5217\u8868\u521b\u5efa\u5411\u91cf<\/strong><\/h2>\n<p>vector = np.array([1, 2, 3])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u5411\u91cf <code>[1, 2, 3]<\/code>\u3002\u8be5\u5411\u91cf\u53ef\u4ee5\u7528\u4e8e\u5404\u79cd\u6570\u5b66\u8fd0\u7b97\u3002<\/p>\n<\/p>\n<p><h4>2.2 \u5411\u91cf\u7684\u57fa\u672c\u8fd0\u7b97<\/h4>\n<\/p>\n<p><p>NumPy\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u4fbf\u6377\u7684\u64cd\u4f5c\u51fd\u6570\uff0c\u7528\u4e8e\u5904\u7406\u5411\u91cf\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u5411\u91cf\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u5411\u91cf\u52a0\u6cd5<\/strong>\uff1a\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528<code>+<\/code>\u8fd0\u7b97\u7b26\u3002<\/li>\n<li><strong>\u5411\u91cf\u51cf\u6cd5<\/strong>\uff1a\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528<code>-<\/code>\u8fd0\u7b97\u7b26\u3002<\/li>\n<li><strong>\u6807\u91cf\u4e58\u6cd5<\/strong>\uff1a\u53ef\u4ee5\u4f7f\u7528<code>*<\/code>\u8fd0\u7b97\u7b26\u3002<\/li>\n<li><strong>\u70b9\u79ef<\/strong>\uff1a\u53ef\u4ee5\u4f7f\u7528<code>numpy.dot()<\/code>\u51fd\u6570\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\"># \u521b\u5efa\u4e24\u4e2a\u5411\u91cf<\/p>\n<p>vector1 = np.array([1, 2, 3])<\/p>\n<p>vector2 = np.array([4, 5, 6])<\/p>\n<h2><strong>\u5411\u91cf\u52a0\u6cd5<\/strong><\/h2>\n<p>sum_vector = vector1 + vector2<\/p>\n<h2><strong>\u5411\u91cf\u51cf\u6cd5<\/strong><\/h2>\n<p>diff_vector = vector1 - vector2<\/p>\n<h2><strong>\u6807\u91cf\u4e58\u6cd5<\/strong><\/h2>\n<p>scaled_vector = 2 * vector1<\/p>\n<h2><strong>\u70b9\u79ef<\/strong><\/h2>\n<p>dot_product = np.dot(vector1, vector2)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2.3 \u5411\u91cf\u7684\u9ad8\u7ea7\u64cd\u4f5c<\/h4>\n<\/p>\n<p><p>\u9664\u4e86\u57fa\u672c\u8fd0\u7b97\uff0cNumPy\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u7ea7\u64cd\u4f5c\uff0c\u4f8b\u5982\u8ba1\u7b97\u5411\u91cf\u7684\u6a21\uff08\u957f\u5ea6\uff09\u3001\u5355\u4f4d\u5411\u91cf\u3001\u6295\u5f71\u7b49\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u5411\u91cf\u7684\u6a21<\/strong>\uff1a\u53ef\u4ee5\u4f7f\u7528<code>numpy.linalg.norm()<\/code>\u51fd\u6570\u3002<\/li>\n<li><strong>\u5355\u4f4d\u5411\u91cf<\/strong>\uff1a\u5c06\u5411\u91cf\u9664\u4ee5\u5176\u6a21\u5373\u53ef\u5f97\u5230\u5355\u4f4d\u5411\u91cf\u3002<\/li>\n<li><strong>\u5411\u91cf\u6295\u5f71<\/strong>\uff1a\u53ef\u4ee5\u901a\u8fc7\u70b9\u79ef\u548c\u6807\u91cf\u4e58\u6cd5\u5b9e\u73b0\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\"># \u5411\u91cf\u7684\u6a21<\/p>\n<p>magnitude = np.linalg.norm(vector1)<\/p>\n<h2><strong>\u5355\u4f4d\u5411\u91cf<\/strong><\/h2>\n<p>unit_vector = vector1 \/ magnitude<\/p>\n<h2><strong>\u5411\u91cf\u6295\u5f71<\/strong><\/h2>\n<p>projection = np.dot(vector1, vector2) \/ np.dot(vector2, vector2) * vector2<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u4f7f\u7528PANDAS\u8868\u793a\u5411\u91cf<\/h3>\n<\/p>\n<p><p>\u867d\u7136NumPy\u662f\u8868\u793a\u5411\u91cf\u7684\u9996\u9009\uff0c\u4f46\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0cPandas\u5e93\u4e5f\u53ef\u4ee5\u7528\u4e8e\u8868\u793a\u548c\u64cd\u4f5c\u5411\u91cf\u3002Pandas\u7684Series\u5bf9\u8c61\u53ef\u4ee5\u770b\u4f5c\u662f\u4e00\u79cd\u5e26\u6807\u7b7e\u7684\u4e00\u7ef4\u6570\u7ec4\u3002<\/p>\n<\/p>\n<p><h4>3.1 \u521b\u5efaPandas Series<\/h4>\n<\/p>\n<p><p>Pandas Series\u53ef\u4ee5\u4f7f\u7528<code>pandas.Series()<\/code>\u51fd\u6570\u521b\u5efa\uff0c\u5e76\u53ef\u4ee5\u4e3a\u6bcf\u4e2a\u5143\u7d20\u6dfb\u52a0\u6807\u7b7e\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u5e26\u6807\u7b7e\u7684\u5411\u91cf<\/strong><\/h2>\n<p>series = pd.Series([1, 2, 3], index=[&#39;a&#39;, &#39;b&#39;, &#39;c&#39;])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3.2 Series\u7684\u57fa\u672c\u64cd\u4f5c<\/h4>\n<\/p>\n<p><p>Pandas Series\u652f\u6301\u8bb8\u591a\u4e0eNumPy\u6570\u7ec4\u76f8\u540c\u7684\u8fd0\u7b97\uff0c\u5e76\u4e14\u8fd8\u652f\u6301\u4e00\u4e9b\u7279\u6709\u7684\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u52a0\u6cd5<\/strong>\uff1a\u4e0eNumPy\u7c7b\u4f3c\uff0c\u53ef\u4ee5\u4f7f\u7528<code>+<\/code>\u8fd0\u7b97\u7b26\u3002<\/li>\n<li><strong>\u51cf\u6cd5<\/strong>\uff1a\u53ef\u4ee5\u4f7f\u7528<code>-<\/code>\u8fd0\u7b97\u7b26\u3002<\/li>\n<li><strong>\u6807\u91cf\u4e58\u6cd5<\/strong>\uff1a\u53ef\u4ee5\u4f7f\u7528<code>*<\/code>\u8fd0\u7b97\u7b26\u3002<\/li>\n<li><strong>\u6807\u7b7e\u8bbf\u95ee<\/strong>\uff1a\u53ef\u4ee5\u4f7f\u7528\u6807\u7b7e\u8bbf\u95ee\u5143\u7d20\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\"># \u521b\u5efa\u4e24\u4e2aSeries<\/p>\n<p>series1 = pd.Series([1, 2, 3], index=[&#39;a&#39;, &#39;b&#39;, &#39;c&#39;])<\/p>\n<p>series2 = pd.Series([4, 5, 6], index=[&#39;a&#39;, &#39;b&#39;, &#39;c&#39;])<\/p>\n<h2><strong>\u52a0\u6cd5<\/strong><\/h2>\n<p>sum_series = series1 + series2<\/p>\n<h2><strong>\u51cf\u6cd5<\/strong><\/h2>\n<p>diff_series = series1 - series2<\/p>\n<h2><strong>\u6807\u91cf\u4e58\u6cd5<\/strong><\/h2>\n<p>scaled_series = 2 * series1<\/p>\n<h2><strong>\u6807\u7b7e\u8bbf\u95ee<\/strong><\/h2>\n<p>value_a = series1[&#39;a&#39;]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u5411\u91cf\u5728\u5e94\u7528\u4e2d\u7684\u91cd\u8981\u6027<\/h3>\n<\/p>\n<p><p>\u5411\u91cf\u662f\u6570\u5b66\u4e2d\u4e00\u4e2a\u91cd\u8981\u7684\u6982\u5ff5\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u7269\u7406\u5b66\u3001\u5de5\u7a0b\u5b66\u3001\u8ba1\u7b97\u673a\u79d1\u5b66\u548c\u7edf\u8ba1\u5b66\u4e2d\u3002\u5728Python\u4e2d\uff0c\u5411\u91cf\u7684\u8868\u793a\u548c\u64cd\u4f5c\u4e0d\u4ec5\u4ec5\u9650\u4e8e\u6570\u5b66\u8ba1\u7b97\uff0c\u8fd8\u53ef\u4ee5\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u3002<\/p>\n<\/p>\n<p><h4>4.1 \u5728\u6570\u636e\u5206\u6790\u4e2d\u7684\u5e94\u7528<\/h4>\n<\/p>\n<p><p>\u5728\u6570\u636e\u5206\u6790\u4e2d\uff0c\u5411\u91cf\u901a\u5e38\u7528\u4e8e\u8868\u793a\u6570\u636e\u96c6\u4e2d\u7684\u5355\u4e2a\u6570\u636e\u70b9\u3002NumPy\u548cPandas\u7684\u5411\u91cf\u64cd\u4f5c\u53ef\u4ee5\u7528\u4e8e\u6267\u884c\u6570\u636e\u6e05\u6d17\u3001\u8f6c\u6362\u548c\u805a\u5408\u7b49\u4efb\u52a1\u3002<\/p>\n<\/p>\n<p><h4>4.2 \u5728\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u5e94\u7528<\/h4>\n<\/p>\n<p><p>\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u901a\u5e38\u9700\u8981\u5904\u7406\u5927\u91cf\u7684\u5411\u91cf\u6570\u636e\u3002\u4f8b\u5982\uff0c\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u4e2d\u7684\u6743\u91cd\u5411\u91cf\u3001\u652f\u6301\u5411\u91cf\u673a\u4e2d\u7684\u652f\u6301\u5411\u91cf\u3001\u795e\u7ecf\u7f51\u7edc\u4e2d\u7684\u8f93\u5165\u548c\u8f93\u51fa\u5411\u91cf\uff0c\u7b49\u7b49\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u4f7f\u7528NumPy\u548cPandas\uff0c\u6570\u636e\u79d1\u5b66\u5bb6\u548c\u5de5\u7a0b\u5e08\u53ef\u4ee5\u9ad8\u6548\u5730\u7ba1\u7406\u548c\u64cd\u4f5c\u8fd9\u4e9b\u5411\u91cf\uff0c\u4ee5\u6784\u5efa\u548c\u4f18\u5316\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u603b\u4e4b\uff0cPython\u4e2d\u8868\u793a\u5411\u91cf\u7684\u65b9\u5f0f\u591a\u79cd\u591a\u6837\uff0c\u5176\u4e2dNumPy\u5e93\u662f\u6700\u5e38\u7528\u548c\u9ad8\u6548\u7684\u9009\u62e9\u3002\u901a\u8fc7\u4f7f\u7528NumPy\uff0c\u6211\u4eec\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u5411\u91cf\u7684\u521b\u5efa\u3001\u8fd0\u7b97\u548c\u9ad8\u7ea7\u64cd\u4f5c\u3002\u6b64\u5916\uff0cPandas\u5e93\u63d0\u4f9b\u4e86\u53e6\u4e00\u79cd\u8868\u793a\u5411\u91cf\u7684\u65b9\u5f0f\uff0c\u7279\u522b\u9002\u5408\u4e0e\u6570\u636e\u5206\u6790\u76f8\u5173\u7684\u4efb\u52a1\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u5411\u91cf\u7684\u8868\u793a\u548c\u64cd\u4f5c\u662f\u6570\u636e\u79d1\u5b66\u548c\u5de5\u7a0b\u9886\u57df\u7684\u57fa\u672c\u6280\u80fd\u3002\u901a\u8fc7\u638c\u63e1\u8fd9\u4e9b\u6280\u80fd\uff0c\u53ef\u4ee5\u66f4\u597d\u5730\u5904\u7406\u5404\u79cd\u6570\u636e\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60\u95ee\u9898\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u521b\u5efa\u5411\u91cf\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u5411\u91cf\u901a\u5e38\u53ef\u4ee5\u901a\u8fc7\u5217\u8868\u3001\u5143\u7ec4\u6216NumPy\u5e93\u4e2d\u7684\u6570\u7ec4\u6765\u8868\u793a\u3002\u4f7f\u7528\u5217\u8868\u6216\u5143\u7ec4\u7684\u65b9\u6cd5\u7b80\u5355\u76f4\u63a5\uff0c\u4f46NumPy\u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u529f\u80fd\uff0c\u7279\u522b\u662f\u5728\u8fdb\u884c\u6570\u5b66\u8fd0\u7b97\u548c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u65f6\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528<code>numpy.array()<\/code>\u51fd\u6570\u5c06\u5217\u8868\u8f6c\u6362\u4e3a\u5411\u91cf\u3002<\/p>\n<p><strong>\u4f7f\u7528NumPy\u5e93\u8868\u793a\u5411\u91cf\u6709\u4ec0\u4e48\u4f18\u52bf\uff1f<\/strong><br \/>NumPy\u5e93\u4e3a\u5411\u91cf\u8fd0\u7b97\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u5b9e\u73b0\u3002\u5b83\u652f\u6301\u5411\u91cf\u5316\u64cd\u4f5c\uff0c\u4f7f\u5f97\u5bf9\u5927\u6570\u636e\u96c6\u7684\u8ba1\u7b97\u901f\u5ea6\u66f4\u5feb\u3002\u6b64\u5916\uff0cNumPy\u8fd8\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u5b66\u51fd\u6570\u5e93\uff0c\u9002\u5408\u8fdb\u884c\u7ebf\u6027\u4ee3\u6570\u3001\u7edf\u8ba1\u5206\u6790\u7b49\u590d\u6742\u8fd0\u7b97\uff0c\u4f7f\u7528\u8d77\u6765\u4e5f\u76f8\u5bf9\u7b80\u5355\u3002<\/p>\n<p><strong>\u5982\u4f55\u5728Python\u4e2d\u8fdb\u884c\u5411\u91cf\u8fd0\u7b97\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u5411\u91cf\u8fd0\u7b97\u53ef\u4ee5\u4f7f\u7528NumPy\u5e93\u4e2d\u7684\u5404\u79cd\u51fd\u6570\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528<code>numpy.dot()<\/code>\u8fdb\u884c\u70b9\u79ef\u8fd0\u7b97\uff0c\u4f7f\u7528<code>numpy.cross()<\/code>\u8fdb\u884c\u53c9\u79ef\u8fd0\u7b97\u3002\u8fd9\u4e9b\u51fd\u6570\u4e0d\u4ec5\u7b80\u5355\u6613\u7528\uff0c\u800c\u4e14\u80fd\u591f\u5904\u7406\u591a\u7ef4\u6570\u7ec4\uff0c\u9002\u5408\u5404\u79cd\u79d1\u5b66\u8ba1\u7b97\u548c\u5de5\u7a0b\u5e94\u7528\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5411\u91cf\u8868\u793a\u901a\u5e38\u6709\u51e0\u79cd\u65b9\u5f0f\uff1a\u4f7f\u7528\u5217\u8868\u3001\u4f7f\u7528NumPy\u5e93\u4e2d\u7684\u6570\u7ec4\u3001\u4f7f\u7528Pandas\u5e93\u4e2d\u7684Series\u3002\u5176 [&hellip;]","protected":false},"author":3,"featured_media":928121,"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\/928114"}],"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=928114"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/928114\/revisions"}],"predecessor-version":[{"id":928122,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/928114\/revisions\/928122"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/928121"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=928114"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=928114"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=928114"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}