{"id":931824,"date":"2024-12-26T17:45:30","date_gmt":"2024-12-26T09:45:30","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/931824.html"},"modified":"2024-12-26T17:45:31","modified_gmt":"2024-12-26T09:45:31","slug":"%e5%a6%82%e4%bd%95%e5%9c%a8python%e4%b8%ad","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/931824.html","title":{"rendered":"\u5982\u4f55\u5728python\u4e2d"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25065943\/d8704833-26b5-480e-af7f-463ea077bb79.webp\" alt=\"\u5982\u4f55\u5728python\u4e2d\" \/><\/p>\n<p><p> \u5982\u4f55\u5728Python\u4e2d\u8fdb\u884c\u6570\u636e\u5206\u6790  <\/p>\n<\/p>\n<p><p>\u5728Python\u4e2d\u8fdb\u884c\u6570\u636e\u5206\u6790\u65f6\uff0c<strong>\u53ef\u4ee5\u5229\u7528\u4e30\u5bcc\u7684\u5e93\u8d44\u6e90\u3001\u91c7\u7528\u5408\u9002\u7684\u6570\u636e\u7ed3\u6784\u3001\u5e76\u901a\u8fc7\u53ef\u89c6\u5316\u5de5\u5177\u5c55\u793a\u7ed3\u679c<\/strong>\u3002\u8fd9\u4e9b\u6b65\u9aa4\u80fd\u5e2e\u52a9\u5206\u6790\u4eba\u5458\u9ad8\u6548\u5730\u4ece\u6570\u636e\u4e2d\u63d0\u53d6\u6709\u4ef7\u503c\u7684\u4fe1\u606f\u3002\u5177\u4f53\u6765\u8bf4\uff0cPython\u63d0\u4f9b\u4e86\u5982Pandas\u3001NumPy\u7b49\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u5904\u7406\u548c\u64cd\u4f5c\u6570\u636e\u3002\u501f\u52a9Matplotlib\u548cSeaborn\u7b49\u53ef\u89c6\u5316\u5e93\uff0c\u5206\u6790\u4eba\u5458\u53ef\u4ee5\u76f4\u89c2\u5730\u5c55\u793a\u6570\u636e\u8d8b\u52bf\u548c\u6a21\u5f0f\u3002\u6b64\u5916\uff0c<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u5e93\u5982Scikit-learn\u53ef\u4ee5\u7528\u4e8e\u6784\u5efa\u9884\u6d4b\u6a21\u578b\u3002  <\/p>\n<\/p>\n<p><p><strong>\u5229\u7528Pandas\u5e93\u8fdb\u884c\u6570\u636e\u5904\u7406<\/strong>\u662f\u6570\u636e\u5206\u6790\u7684\u6838\u5fc3\u73af\u8282\u4e4b\u4e00\u3002Pandas\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\uff0c\u5c24\u5176\u9002\u5408\u5904\u7406\u8868\u683c\u6570\u636e\u3002DataFrame\u662fPandas\u4e2d\u6700\u4e3a\u5e38\u7528\u7684\u6570\u636e\u7ed3\u6784\uff0c\u5b83\u7c7b\u4f3c\u4e8eExcel\u8868\u683c\uff0c\u652f\u6301\u591a\u79cd\u6570\u636e\u64cd\u4f5c\uff0c\u5982\u6570\u636e\u7b5b\u9009\u3001\u5206\u7ec4\u3001\u805a\u5408\u548c\u8fde\u63a5\u3002\u901a\u8fc7Pandas\uff0c\u7528\u6237\u53ef\u4ee5\u5feb\u901f\u8bfb\u53d6\u5404\u79cd\u683c\u5f0f\u7684\u6570\u636e\u6587\u4ef6\uff0c\u5982CSV\u3001Excel\u3001SQL\u6570\u636e\u5e93\u7b49\uff0c\u5e76\u8fdb\u884c\u7075\u6d3b\u7684\u64cd\u4f5c\u548c\u5904\u7406\u3002\u6b64\u5916\uff0cPandas\u8fd8\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u6e05\u6d17\u529f\u80fd\uff0c\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u5904\u7406\u7f3a\u5931\u503c\u3001\u91cd\u590d\u503c\uff0c\u4ee5\u53ca\u4e0d\u4e00\u81f4\u7684\u6570\u636e\u683c\u5f0f\uff0c\u4ece\u800c\u786e\u4fdd\u6570\u636e\u7684\u5b8c\u6574\u6027\u548c\u4e00\u81f4\u6027\u3002  <\/p>\n<\/p>\n<p><h2>\u4e00\u3001\u5229\u7528Python\u5e93\u8fdb\u884c\u6570\u636e\u5904\u7406<\/h2>\n<\/p>\n<p><p>\u5728\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u4e2d\uff0c\u9009\u62e9\u9002\u5408\u7684\u5de5\u5177\u548c\u5e93\u662f\u81f3\u5173\u91cd\u8981\u7684\u3002Python\u56e0\u5176\u5f3a\u5927\u7684\u7b2c\u4e09\u65b9\u5e93\u751f\u6001\u7cfb\u7edf\u800c\u5907\u53d7\u9752\u7750\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684Python\u5e93\uff0c\u4ee5\u53ca\u5b83\u4eec\u5728\u6570\u636e\u5904\u7406\u4e2d\u7684\u5e94\u7528\u3002  <\/p>\n<\/p>\n<p><h3>1\u3001Pandas<\/h3>\n<\/p>\n<p><p>Pandas\u662fPython\u4e2d\u6700\u6d41\u884c\u7684\u6570\u636e\u5206\u6790\u5e93\u4e4b\u4e00\uff0c\u4e13\u4e3a\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\u800c\u8bbe\u8ba1\u3002  <\/p>\n<\/p>\n<ul>\n<li><strong>\u6570\u636e\u7ed3\u6784<\/strong>\uff1aPandas\u7684\u6838\u5fc3\u6570\u636e\u7ed3\u6784\u662fSeries\u548cDataFrame\u3002Series\u662f\u4e00\u7ef4\u7684\u6570\u7ec4\uff0c\u5e26\u6709\u7d22\u5f15\u6807\u7b7e\uff0c\u800cDataFrame\u662f\u4e8c\u7ef4\u7684\u8868\u683c\u6570\u636e\u7ed3\u6784\uff0c\u7c7b\u4f3c\u4e8e\u7535\u5b50\u8868\u683c\u6216SQL\u8868\u3002  <\/li>\n<li><strong>\u6570\u636e\u8bfb\u5199<\/strong>\uff1aPandas\u652f\u6301\u591a\u79cd\u6570\u636e\u683c\u5f0f\u7684\u8bfb\u53d6\u548c\u5199\u5165\uff0c\u5982CSV\u3001Excel\u3001SQL\u6570\u636e\u5e93\u7b49\u3002\u8fd9\u4f7f\u5f97\u5bfc\u5165\u548c\u5bfc\u51fa\u6570\u636e\u53d8\u5f97\u975e\u5e38\u7b80\u5355\u3002  <\/li>\n<li><strong>\u6570\u636e\u64cd\u4f5c<\/strong>\uff1aPandas\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u64cd\u4f5c\u529f\u80fd\uff0c\u5982\u6570\u636e\u7b5b\u9009\u3001\u6392\u5e8f\u3001\u5206\u7ec4\u3001\u805a\u5408\u548c\u900f\u89c6\u8868\u7b49\u3002\u8fd9\u4e9b\u529f\u80fd\u53ef\u4ee5\u5e2e\u52a9\u5206\u6790\u4eba\u5458\u5feb\u901f\u4ece\u6570\u636e\u4e2d\u63d0\u53d6\u6240\u9700\u7684\u4fe1\u606f\u3002<\/li>\n<\/ul>\n<p><h3>2\u3001NumPy<\/h3>\n<\/p>\n<p><p>NumPy\u662fPython\u4e2d\u5904\u7406\u6570\u503c\u6570\u636e\u7684\u57fa\u7840\u5e93\uff0c\u4e3a\u5176\u4ed6\u6570\u636e\u79d1\u5b66\u5e93\uff08\u5982Pandas\u3001Scikit-learn\u7b49\uff09\u63d0\u4f9b\u4e86\u5e95\u5c42\u652f\u6301\u3002  <\/p>\n<\/p>\n<ul>\n<li><strong>\u591a\u7ef4\u6570\u7ec4<\/strong>\uff1aNumPy\u7684\u6838\u5fc3\u662fndarray\u5bf9\u8c61\uff0c\u5b83\u652f\u6301\u591a\u7ef4\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u3002\u8fd9\u4f7f\u5f97NumPy\u975e\u5e38\u9002\u5408\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u548c\u7ebf\u6027\u4ee3\u6570\u64cd\u4f5c\u3002  <\/li>\n<li><strong>\u6570\u5b66\u51fd\u6570<\/strong>\uff1aNumPy\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u6570\u5b66\u51fd\u6570\uff0c\u7528\u4e8e\u6267\u884c\u5411\u91cf\u5316\u8fd0\u7b97\u3002\u8fd9\u4e9b\u51fd\u6570\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\uff0c\u5c24\u5176\u662f\u5728\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u65f6\u3002  <\/li>\n<li><strong>\u968f\u673a\u6570\u751f\u6210<\/strong>\uff1aNumPy\u7684random\u6a21\u5757\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u968f\u673a\u6570\u751f\u6210\u529f\u80fd\uff0c\u652f\u6301\u5404\u79cd\u6982\u7387\u5206\u5e03\u3002\u8fd9\u5728\u6a21\u62df\u548c\u7edf\u8ba1\u5206\u6790\u4e2d\u975e\u5e38\u6709\u7528\u3002<\/li>\n<\/ul>\n<p><h3>3\u3001SciPy<\/h3>\n<\/p>\n<p><p>SciPy\u662f\u57fa\u4e8eNumPy\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u7ea7\u6570\u5b66\u3001\u79d1\u5b66\u548c\u5de5\u7a0b\u529f\u80fd\u3002  <\/p>\n<\/p>\n<ul>\n<li><strong>\u7edf\u8ba1\u5206\u6790<\/strong>\uff1aSciPy\u7684stats\u6a21\u5757\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u7edf\u8ba1\u5206\u5e03\u548c\u51fd\u6570\uff0c\u7528\u4e8e\u6267\u884c\u7edf\u8ba1\u5206\u6790\u548c\u5047\u8bbe\u68c0\u9a8c\u3002  <\/li>\n<li><strong>\u4f18\u5316\u548c\u6c42\u89e3\u65b9\u7a0b<\/strong>\uff1aSciPy\u7684optimize\u6a21\u5757\u5305\u542b\u8bb8\u591a\u4f18\u5316\u7b97\u6cd5\u548c\u65b9\u7a0b\u6c42\u89e3\u5668\uff0c\u9002\u7528\u4e8e\u7ebf\u6027\u548c\u975e\u7ebf\u6027\u95ee\u9898\u3002  <\/li>\n<li><strong>\u4fe1\u53f7\u5904\u7406<\/strong>\uff1aSciPy\u7684signal\u6a21\u5757\u63d0\u4f9b\u4e86\u6570\u5b57\u4fe1\u53f7\u5904\u7406\u5de5\u5177\uff0c\u5982\u6ee4\u6ce2\u5668\u8bbe\u8ba1\u548c\u5085\u7acb\u53f6\u53d8\u6362\u7b49\u3002<\/li>\n<\/ul>\n<p><h2>\u4e8c\u3001\u6570\u636e\u6e05\u6d17\u4e0e\u9884\u5904\u7406<\/h2>\n<\/p>\n<p><p>\u5728\u6570\u636e\u5206\u6790\u4e2d\uff0c\u6570\u636e\u6e05\u6d17\u548c\u9884\u5904\u7406\u662f\u5173\u952e\u7684\u4e00\u6b65\u3002\u65e0\u8bba\u6570\u636e\u7684\u6765\u6e90\u5982\u4f55\uff0c\u901a\u5e38\u90fd\u9700\u8981\u8fdb\u884c\u4e00\u4e9b\u6e05\u6d17\u548c\u9884\u5904\u7406\uff0c\u4ee5\u786e\u4fdd\u6570\u636e\u7684\u8d28\u91cf\u548c\u4e00\u81f4\u6027\u3002  <\/p>\n<\/p>\n<p><h3>1\u3001\u5904\u7406\u7f3a\u5931\u503c<\/h3>\n<\/p>\n<p><p>\u7f3a\u5931\u503c\u662f\u6570\u636e\u5206\u6790\u4e2d\u7684\u5e38\u89c1\u95ee\u9898\uff0c\u53ef\u80fd\u4f1a\u5f71\u54cd\u5206\u6790\u7ed3\u679c\u7684\u51c6\u786e\u6027\u3002Pandas\u63d0\u4f9b\u4e86\u4e00\u4e9b\u65b9\u6cd5\u6765\u5904\u7406\u7f3a\u5931\u503c\u3002  <\/p>\n<\/p>\n<ul>\n<li><strong>\u5220\u9664\u7f3a\u5931\u503c<\/strong>\uff1a\u53ef\u4ee5\u4f7f\u7528<code>dropna()<\/code>\u51fd\u6570\u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c\u6216\u5217\u3002\u8fd9\u79cd\u65b9\u6cd5\u7b80\u5355\u76f4\u89c2\uff0c\u4f46\u53ef\u80fd\u4f1a\u5bfc\u81f4\u6570\u636e\u635f\u5931\uff0c\u5c24\u5176\u662f\u5728\u7f3a\u5931\u503c\u8f83\u591a\u7684\u60c5\u51b5\u4e0b\u3002  <\/li>\n<li><strong>\u586b\u5145\u7f3a\u5931\u503c<\/strong>\uff1a\u53ef\u4ee5\u4f7f\u7528<code>fillna()<\/code>\u51fd\u6570\u586b\u5145\u7f3a\u5931\u503c\uff0c\u4f8b\u5982\u7528\u5e73\u5747\u503c\u3001\u4e2d\u4f4d\u6570\u6216\u4f17\u6570\u7b49\u3002\u8fd9\u6837\u53ef\u4ee5\u4fdd\u7559\u6570\u636e\u7684\u5b8c\u6574\u6027\uff0c\u4f46\u9700\u8981\u8c28\u614e\u9009\u62e9\u586b\u5145\u503c\uff0c\u4ee5\u514d\u5f15\u5165\u504f\u5dee\u3002<\/li>\n<\/ul>\n<p><h3>2\u3001\u5904\u7406\u91cd\u590d\u503c<\/h3>\n<\/p>\n<p><p>\u91cd\u590d\u503c\u53ef\u80fd\u4f1a\u5bfc\u81f4\u5206\u6790\u7ed3\u679c\u7684\u504f\u5dee\uff0c\u56e0\u6b64\u9700\u8981\u53ca\u65f6\u5904\u7406\u3002Pandas\u63d0\u4f9b\u4e86<code>duplicated()<\/code>\u548c<code>drop_duplicates()<\/code>\u51fd\u6570\u6765\u8bc6\u522b\u548c\u5220\u9664\u91cd\u590d\u503c\u3002  <\/p>\n<\/p>\n<ul>\n<li><strong>\u8bc6\u522b\u91cd\u590d\u503c<\/strong>\uff1a<code>duplicated()<\/code>\u51fd\u6570\u8fd4\u56de\u4e00\u4e2a\u5e03\u5c14\u578bSeries\uff0c\u6307\u793a\u6bcf\u4e00\u884c\u662f\u5426\u4e3a\u91cd\u590d\u884c\u3002\u53ef\u4ee5\u6839\u636e\u9700\u8981\u9009\u62e9\u4fdd\u7559\u6216\u5220\u9664\u91cd\u590d\u884c\u3002  <\/li>\n<li><strong>\u5220\u9664\u91cd\u590d\u503c<\/strong>\uff1a<code>drop_duplicates()<\/code>\u51fd\u6570\u7528\u4e8e\u5220\u9664\u91cd\u590d\u884c\uff0c\u4fdd\u7559\u7b2c\u4e00\u4e2a\u51fa\u73b0\u7684\u5b9e\u4f8b\u3002\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u5217\u540d\u6765\u9650\u5b9a\u91cd\u590d\u503c\u7684\u5224\u65ad\u8303\u56f4\u3002<\/li>\n<\/ul>\n<p><h3>3\u3001\u6570\u636e\u8f6c\u6362\u4e0e\u6807\u51c6\u5316<\/h3>\n<\/p>\n<p><p>\u5728\u6570\u636e\u5206\u6790\u4e2d\uff0c\u4e0d\u540c\u6570\u636e\u6e90\u53ef\u80fd\u5177\u6709\u4e0d\u540c\u7684\u683c\u5f0f\u548c\u5355\u4f4d\uff0c\u9700\u8981\u8fdb\u884c\u8f6c\u6362\u548c\u6807\u51c6\u5316\u3002  <\/p>\n<\/p>\n<ul>\n<li><strong>\u6570\u636e\u7c7b\u578b\u8f6c\u6362<\/strong>\uff1aPandas\u7684<code>astype()<\/code>\u51fd\u6570\u53ef\u4ee5\u7528\u4e8e\u8f6c\u6362\u6570\u636e\u7c7b\u578b\uff0c\u5982\u5c06\u5b57\u7b26\u4e32\u8f6c\u6362\u4e3a\u6570\u503c\u578b\u3001\u65e5\u671f\u578b\u7b49\u3002\u8fd9\u6709\u52a9\u4e8e\u7edf\u4e00\u6570\u636e\u683c\u5f0f\uff0c\u4fbf\u4e8e\u540e\u7eed\u5206\u6790\u3002  <\/li>\n<li><strong>\u6570\u636e\u6807\u51c6\u5316<\/strong>\uff1a\u6570\u636e\u6807\u51c6\u5316\u53ef\u4ee5\u6d88\u9664\u4e0d\u540c\u7279\u5f81\u4e4b\u95f4\u7684\u91cf\u7eb2\u5dee\u5f02\uff0c\u4f7f\u5f97\u7279\u5f81\u5177\u6709\u76f8\u4f3c\u7684\u5c3a\u5ea6\u3002\u5e38\u7528\u7684\u6807\u51c6\u5316\u65b9\u6cd5\u5305\u62ecZ-score\u6807\u51c6\u5316\u548cMin-Max\u5f52\u4e00\u5316\u3002<\/li>\n<\/ul>\n<p><h2>\u4e09\u3001\u6570\u636e\u53ef\u89c6\u5316<\/h2>\n<\/p>\n<p><p>\u6570\u636e\u53ef\u89c6\u5316\u662f\u6570\u636e\u5206\u6790\u7684\u91cd\u8981\u73af\u8282\uff0c\u53ef\u4ee5\u5e2e\u52a9\u5206\u6790\u4eba\u5458\u66f4\u76f4\u89c2\u5730\u7406\u89e3\u6570\u636e\u80cc\u540e\u7684\u4fe1\u606f\u548c\u6a21\u5f0f\u3002Python\u63d0\u4f9b\u4e86\u591a\u79cd\u5f3a\u5927\u7684\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u53ef\u4ee5\u6ee1\u8db3\u4e0d\u540c\u7684\u9700\u6c42\u3002  <\/p>\n<\/p>\n<p><h3>1\u3001Matplotlib<\/h3>\n<\/p>\n<p><p>Matplotlib\u662fPython\u4e2d\u6700\u57fa\u7840\u7684\u7ed8\u56fe\u5e93\uff0c\u9002\u7528\u4e8e\u521b\u5efa\u9759\u6001\u3001\u4ea4\u4e92\u5f0f\u548c\u52a8\u753b\u56fe\u8868\u3002  <\/p>\n<\/p>\n<ul>\n<li><strong>\u57fa\u672c\u7ed8\u56fe<\/strong>\uff1aMatplotlib\u7684<code>pyplot<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u7c7b\u4f3c\u4e8eMATLAB\u7684\u7ed8\u56fe\u63a5\u53e3\uff0c\u53ef\u4ee5\u8f7b\u677e\u521b\u5efa\u6298\u7ebf\u56fe\u3001\u6563\u70b9\u56fe\u3001\u67f1\u72b6\u56fe\u7b49\u3002  <\/li>\n<li><strong>\u56fe\u5f62\u5b9a\u5236<\/strong>\uff1aMatplotlib\u5141\u8bb8\u7528\u6237\u81ea\u5b9a\u4e49\u56fe\u5f62\u7684\u5404\u79cd\u5c5e\u6027\uff0c\u5982\u6807\u9898\u3001\u5750\u6807\u8f74\u6807\u7b7e\u3001\u56fe\u4f8b\u3001\u989c\u8272\u3001\u7ebf\u578b\u7b49\u3002\u8fd9\u4f7f\u5f97\u7528\u6237\u53ef\u4ee5\u6839\u636e\u9700\u8981\u521b\u5efa\u9ad8\u5ea6\u5b9a\u5236\u5316\u7684\u56fe\u5f62\u3002  <\/li>\n<li><strong>\u5b50\u56fe\u5e03\u5c40<\/strong>\uff1aMatplotlib\u7684<code>subplot()<\/code>\u51fd\u6570\u53ef\u4ee5\u5728\u540c\u4e00\u753b\u5e03\u4e0a\u521b\u5efa\u591a\u4e2a\u5b50\u56fe\uff0c\u4fbf\u4e8e\u6bd4\u8f83\u548c\u5c55\u793a\u591a\u7ec4\u6570\u636e\u3002<\/li>\n<\/ul>\n<p><h3>2\u3001Seaborn<\/h3>\n<\/p>\n<p><p>Seaborn\u662f\u57fa\u4e8eMatplotlib\u7684\u9ad8\u7ea7\u53ef\u89c6\u5316\u5e93\uff0c\u4e13\u6ce8\u4e8e\u7edf\u8ba1\u6570\u636e\u7684\u53ef\u89c6\u5316\u3002  <\/p>\n<\/p>\n<ul>\n<li><strong>\u4e3b\u9898\u98ce\u683c<\/strong>\uff1aSeaborn\u63d0\u4f9b\u4e86\u591a\u79cd\u4e3b\u9898\u98ce\u683c\u548c\u914d\u8272\u65b9\u6848\uff0c\u4f7f\u5f97\u56fe\u5f62\u66f4\u52a0\u7f8e\u89c2\u548c\u4e13\u4e1a\u3002  <\/li>\n<li><strong>\u7edf\u8ba1\u56fe\u8868<\/strong>\uff1aSeaborn\u652f\u6301\u591a\u79cd\u7edf\u8ba1\u56fe\u8868\uff0c\u5982\u5206\u5e03\u56fe\u3001\u56de\u5f52\u56fe\u3001\u5206\u7c7b\u56fe\u7b49\u3002\u8fd9\u4e9b\u56fe\u8868\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u66f4\u6df1\u5165\u5730\u63a2\u7d22\u6570\u636e\u7684\u7edf\u8ba1\u7279\u6027\u3002  <\/li>\n<li><strong>\u6570\u636e\u5173\u7cfb<\/strong>\uff1aSeaborn\u7684<code>p<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>rplot()<\/code>\u548c<code>heatmap()<\/code>\u51fd\u6570\u53ef\u4ee5\u7528\u4e8e\u5c55\u793a\u6570\u636e\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u5982\u53d8\u91cf\u4e4b\u95f4\u7684\u76f8\u5173\u6027\u3001\u5206\u5e03\u60c5\u51b5\u7b49\u3002<\/li>\n<\/ul>\n<p><h3>3\u3001Plotly<\/h3>\n<\/p>\n<p><p>Plotly\u662f\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u7ed8\u56fe\u5e93\uff0c\u9002\u7528\u4e8e\u521b\u5efa\u52a8\u6001\u548c\u4ea4\u4e92\u5f0f\u56fe\u8868\u3002  <\/p>\n<\/p>\n<ul>\n<li><strong>\u4ea4\u4e92\u529f\u80fd<\/strong>\uff1aPlotly\u652f\u6301\u591a\u79cd\u4ea4\u4e92\u529f\u80fd\uff0c\u5982\u7f29\u653e\u3001\u5e73\u79fb\u3001\u60ac\u505c\u663e\u793a\u7b49\u3002\u8fd9\u4f7f\u5f97\u7528\u6237\u53ef\u4ee5\u4e0e\u56fe\u8868\u8fdb\u884c\u4ea4\u4e92\uff0c\u6df1\u5165\u63a2\u7d22\u6570\u636e\u3002  <\/li>\n<li><strong>\u591a\u79cd\u56fe\u8868\u7c7b\u578b<\/strong>\uff1aPlotly\u652f\u6301\u591a\u79cd\u56fe\u8868\u7c7b\u578b\uff0c\u5982\u6563\u70b9\u56fe\u3001\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u6c14\u6ce1\u56fe\u7b49\uff0c\u9002\u7528\u4e8e\u5c55\u793a\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u636e\u3002  <\/li>\n<li><strong>Web\u96c6\u6210<\/strong>\uff1aPlotly\u7684\u56fe\u8868\u53ef\u4ee5\u5d4c\u5165\u5230Web\u5e94\u7528\u7a0b\u5e8f\u4e2d\uff0c\u4fbf\u4e8e\u5206\u4eab\u548c\u5c55\u793a\u5206\u6790\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<p><h2>\u56db\u3001\u673a\u5668\u5b66\u4e60\u4e0e\u5efa\u6a21<\/h2>\n<\/p>\n<p><p>\u6570\u636e\u5206\u6790\u4e0d\u4ec5\u4ec5\u5c40\u9650\u4e8e\u6570\u636e\u7684\u5904\u7406\u548c\u53ef\u89c6\u5316\uff0c\u8fd8\u5305\u62ec\u5229\u7528\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u8fdb\u884c\u5efa\u6a21\u548c\u9884\u6d4b\u3002Python\u7684Scikit-learn\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u673a\u5668\u5b66\u4e60\u5de5\u5177\uff0c\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u6784\u5efa\u5404\u79cd\u7c7b\u578b\u7684\u6a21\u578b\u3002  <\/p>\n<\/p>\n<p><h3>1\u3001\u6570\u636e\u96c6\u5212\u5206<\/h3>\n<\/p>\n<p><p>\u5728\u8fdb\u884c\u673a\u5668\u5b66\u4e60\u5efa\u6a21\u4e4b\u524d\uff0c\u901a\u5e38\u9700\u8981\u5c06\u6570\u636e\u96c6\u5212\u5206\u4e3a\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\u3002Scikit-learn\u7684<code>train_test_split()<\/code>\u51fd\u6570\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u5b8c\u6210\u8fd9\u4e00\u8fc7\u7a0b\u3002  <\/p>\n<\/p>\n<ul>\n<li><strong>\u8bad\u7ec3\u96c6<\/strong>\uff1a\u7528\u4e8e\u8bad\u7ec3\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u4f7f\u6a21\u578b\u80fd\u591f\u5b66\u4e60\u6570\u636e\u7684\u7279\u5f81\u548c\u6a21\u5f0f\u3002  <\/li>\n<li><strong>\u6d4b\u8bd5\u96c6<\/strong>\uff1a\u7528\u4e8e\u8bc4\u4f30\u6a21\u578b\u7684\u6027\u80fd\uff0c\u786e\u4fdd\u6a21\u578b\u5728\u672a\u89c1\u8fc7\u7684\u6570\u636e\u4e0a\u5177\u6709\u826f\u597d\u7684\u6cdb\u5316\u80fd\u529b\u3002<\/li>\n<\/ul>\n<p><h3>2\u3001\u9009\u62e9\u5408\u9002\u7684\u7b97\u6cd5<\/h3>\n<\/p>\n<p><p>Scikit-learn\u63d0\u4f9b\u4e86\u591a\u79cd\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u9002\u7528\u4e8e\u4e0d\u540c\u7c7b\u578b\u7684\u95ee\u9898\uff0c\u5982\u5206\u7c7b\u3001\u56de\u5f52\u3001\u805a\u7c7b\u7b49\u3002  <\/p>\n<\/p>\n<ul>\n<li><strong>\u5206\u7c7b\u7b97\u6cd5<\/strong>\uff1a\u5982\u903b\u8f91\u56de\u5f52\u3001\u652f\u6301\u5411\u91cf\u673a\u3001\u968f\u673a\u68ee\u6797\u7b49\uff0c\u9002\u7528\u4e8e\u5206\u7c7b\u95ee\u9898\u3002  <\/li>\n<li><strong>\u56de\u5f52\u7b97\u6cd5<\/strong>\uff1a\u5982\u7ebf\u6027\u56de\u5f52\u3001\u5cad\u56de\u5f52\u3001\u51b3\u7b56\u6811\u56de\u5f52\u7b49\uff0c\u9002\u7528\u4e8e\u56de\u5f52\u95ee\u9898\u3002  <\/li>\n<li><strong>\u805a\u7c7b\u7b97\u6cd5<\/strong>\uff1a\u5982K-means\u3001\u5c42\u6b21\u805a\u7c7b\u3001DBSCAN\u7b49\uff0c\u9002\u7528\u4e8e\u805a\u7c7b\u95ee\u9898\u3002<\/li>\n<\/ul>\n<p><h3>3\u3001\u6a21\u578b\u8bad\u7ec3\u4e0e\u8bc4\u4f30<\/h3>\n<\/p>\n<p><p>\u5728\u9009\u62e9\u5408\u9002\u7684\u7b97\u6cd5\u540e\uff0c\u9700\u8981\u5bf9\u6a21\u578b\u8fdb\u884c\u8bad\u7ec3\u548c\u8bc4\u4f30\u3002  <\/p>\n<\/p>\n<ul>\n<li><strong>\u6a21\u578b\u8bad\u7ec3<\/strong>\uff1a\u901a\u8fc7\u8c03\u7528Scikit-learn\u7684<code>fit()<\/code>\u51fd\u6570\uff0c\u5c06\u8bad\u7ec3\u96c6\u6570\u636e\u8f93\u5165\u6a21\u578b\uff0c\u4ee5\u8bad\u7ec3\u6a21\u578b\u7684\u53c2\u6570\u3002  <\/li>\n<li><strong>\u6a21\u578b\u8bc4\u4f30<\/strong>\uff1a\u901a\u8fc7\u8c03\u7528<code>predict()<\/code>\u51fd\u6570\uff0c\u5bf9\u6d4b\u8bd5\u96c6\u8fdb\u884c\u9884\u6d4b\uff0c\u5e76\u4f7f\u7528\u5404\u79cd\u8bc4\u4f30\u6307\u6807\uff08\u5982\u51c6\u786e\u7387\u3001\u7cbe\u786e\u7387\u3001\u53ec\u56de\u7387\u3001F1\u5206\u6570\u7b49\uff09\u6765\u8bc4\u4f30\u6a21\u578b\u7684\u6027\u80fd\u3002<\/li>\n<\/ul>\n<p><h2>\u4e94\u3001\u6848\u4f8b\u5206\u6790<\/h2>\n<\/p>\n<p><p>\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u5728Python\u4e2d\u8fdb\u884c\u6570\u636e\u5206\u6790\uff0c\u4ee5\u4e0b\u901a\u8fc7\u4e00\u4e2a\u5177\u4f53\u7684\u6848\u4f8b\u6765\u5c55\u793a\u5b8c\u6574\u7684\u5206\u6790\u8fc7\u7a0b\u3002  <\/p>\n<\/p>\n<p><h3>1\u3001\u95ee\u9898\u63cf\u8ff0<\/h3>\n<\/p>\n<p><p>\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u5305\u542b\u591a\u4e2a\u7279\u5f81\u7684\u5ba2\u6237\u6570\u636e\u96c6\uff0c\u5e0c\u671b\u901a\u8fc7\u5206\u6790\u548c\u5efa\u6a21\uff0c\u9884\u6d4b\u5ba2\u6237\u662f\u5426\u4f1a\u8d2d\u4e70\u67d0\u79cd\u4ea7\u54c1\u3002  <\/p>\n<\/p>\n<p><h3>2\u3001\u6570\u636e\u8bfb\u53d6\u4e0e\u63a2\u7d22<\/h3>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u4f7f\u7528Pandas\u8bfb\u53d6\u6570\u636e\u96c6\uff0c\u5e76\u8fdb\u884c\u521d\u6b65\u7684\u63a2\u7d22\u6027\u6570\u636e\u5206\u6790\u3002  <\/p>\n<\/p>\n<ul>\n<li><strong>\u6570\u636e\u8bfb\u53d6<\/strong>\uff1a\u4f7f\u7528<code>pd.read_csv()<\/code>\u51fd\u6570\u8bfb\u53d6CSV\u683c\u5f0f\u7684\u6570\u636e\u96c6\u3002  <\/li>\n<li><strong>\u6570\u636e\u6982\u89c8<\/strong>\uff1a\u4f7f\u7528<code>head()<\/code>\u3001<code>info()<\/code>\u548c<code>describe()<\/code>\u51fd\u6570\u67e5\u770b\u6570\u636e\u7684\u57fa\u672c\u4fe1\u606f\u548c\u7edf\u8ba1\u7279\u6027\u3002<\/li>\n<\/ul>\n<p><h3>3\u3001\u6570\u636e\u6e05\u6d17\u4e0e\u9884\u5904\u7406<\/h3>\n<\/p>\n<p><p>\u5728\u8fdb\u884c\u6df1\u5165\u5206\u6790\u4e4b\u524d\uff0c\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u6e05\u6d17\u548c\u9884\u5904\u7406\u3002  <\/p>\n<\/p>\n<ul>\n<li><strong>\u5904\u7406\u7f3a\u5931\u503c<\/strong>\uff1a\u4f7f\u7528<code>fillna()<\/code>\u51fd\u6570\u586b\u5145\u7f3a\u5931\u503c\uff0c\u6216\u4f7f\u7528<code>dropna()<\/code>\u51fd\u6570\u5220\u9664\u7f3a\u5931\u503c\u8f83\u591a\u7684\u884c\u3002  <\/li>\n<li><strong>\u7279\u5f81\u9009\u62e9\u4e0e\u7f16\u7801<\/strong>\uff1a\u6839\u636e\u4e1a\u52a1\u9700\u6c42\u9009\u62e9\u5173\u952e\u7279\u5f81\uff0c\u5e76\u5bf9\u7c7b\u522b\u53d8\u91cf\u8fdb\u884c\u7f16\u7801\u5904\u7406\uff0c\u5982\u4f7f\u7528<code>get_dummies()<\/code>\u51fd\u6570\u8fdb\u884c\u72ec\u70ed\u7f16\u7801\u3002<\/li>\n<\/ul>\n<p><h3>4\u3001\u6570\u636e\u53ef\u89c6\u5316<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u63a2\u7d22\u6570\u636e\u7684\u5206\u5e03\u548c\u7279\u5f81\u4e4b\u95f4\u7684\u5173\u7cfb\u3002  <\/p>\n<\/p>\n<ul>\n<li><strong>\u5206\u5e03\u56fe<\/strong>\uff1a\u4f7f\u7528Seaborn\u7684<code>distplot()<\/code>\u51fd\u6570\u67e5\u770b\u6570\u503c\u7279\u5f81\u7684\u5206\u5e03\u60c5\u51b5\u3002  <\/li>\n<li><strong>\u76f8\u5173\u6027\u70ed\u56fe<\/strong>\uff1a\u4f7f\u7528Seaborn\u7684<code>heatmap()<\/code>\u51fd\u6570\u67e5\u770b\u7279\u5f81\u4e4b\u95f4\u7684\u76f8\u5173\u6027\u3002<\/li>\n<\/ul>\n<p><h3>5\u3001\u6a21\u578b\u6784\u5efa\u4e0e\u8bc4\u4f30<\/h3>\n<\/p>\n<p><p>\u9009\u62e9\u5408\u9002\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u6784\u5efa\u9884\u6d4b\u6a21\u578b\uff0c\u5e76\u5bf9\u6a21\u578b\u8fdb\u884c\u8bc4\u4f30\u3002  <\/p>\n<\/p>\n<ul>\n<li><strong>\u6570\u636e\u96c6\u5212\u5206<\/strong>\uff1a\u4f7f\u7528<code>train_test_split()<\/code>\u51fd\u6570\u5c06\u6570\u636e\u96c6\u5212\u5206\u4e3a\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\u3002  <\/li>\n<li><strong>\u6a21\u578b\u8bad\u7ec3\u4e0e\u9884\u6d4b<\/strong>\uff1a\u4f7f\u7528\u903b\u8f91\u56de\u5f52\u6a21\u578b\u8fdb\u884c\u8bad\u7ec3\uff0c\u5e76\u5bf9\u6d4b\u8bd5\u96c6\u8fdb\u884c\u9884\u6d4b\u3002  <\/li>\n<li><strong>\u6a21\u578b\u8bc4\u4f30<\/strong>\uff1a\u4f7f\u7528<code>classification_report()<\/code>\u51fd\u6570\u67e5\u770b\u6a21\u578b\u7684\u8bc4\u4f30\u6307\u6807\uff0c\u5982\u51c6\u786e\u7387\u3001\u7cbe\u786e\u7387\u3001\u53ec\u56de\u7387\u548cF1\u5206\u6570\u3002<\/li>\n<\/ul>\n<p><p>\u901a\u8fc7\u4e0a\u8ff0\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Python\u4e2d\u9ad8\u6548\u5730\u8fdb\u884c\u6570\u636e\u5206\u6790\uff0c\u4ece\u6570\u636e\u4e2d\u63d0\u53d6\u6709\u4ef7\u503c\u7684\u4fe1\u606f\uff0c\u8f85\u52a9\u51b3\u7b56\u548c\u4e1a\u52a1\u53d1\u5c55\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5728Python\u4e2d\u5982\u4f55\u5904\u7406\u6587\u4ef6\uff1f<\/strong><br \/>\u5728Python\u4e2d\u5904\u7406\u6587\u4ef6\u975e\u5e38\u7b80\u5355\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684<code>open()<\/code>\u51fd\u6570\u6253\u5f00\u6587\u4ef6\uff0c\u4f7f\u7528\u4e0d\u540c\u7684\u6a21\u5f0f\uff08\u5982<code>&#39;r&#39;<\/code>\u8bfb\u53d6\uff0c<code>&#39;w&#39;<\/code>\u5199\u5165\uff0c<code>&#39;a&#39;<\/code>\u9644\u52a0\u7b49\uff09\u6765\u8bbf\u95ee\u6587\u4ef6\u5185\u5bb9\u3002\u8bfb\u53d6\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>read()<\/code>\u3001<code>readline()<\/code>\u6216<code>readlines()<\/code>\u65b9\u6cd5\u6765\u83b7\u53d6\u6587\u4ef6\u7684\u4e0d\u540c\u90e8\u5206\u3002\u5199\u5165\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>write()<\/code>\u65b9\u6cd5\u3002\u5b8c\u6210\u64cd\u4f5c\u540e\uff0c\u786e\u4fdd\u4f7f\u7528<code>close()<\/code>\u65b9\u6cd5\u5173\u95ed\u6587\u4ef6\uff0c\u6216\u8005\u4f7f\u7528<code>with<\/code>\u8bed\u53e5\u81ea\u52a8\u7ba1\u7406\u6587\u4ef6\u7684\u6253\u5f00\u4e0e\u5173\u95ed\u3002<\/p>\n<p><strong>Python\u4e2d\u5982\u4f55\u5b9e\u73b0\u6570\u636e\u53ef\u89c6\u5316\uff1f<\/strong><br \/>\u6570\u636e\u53ef\u89c6\u5316\u5728Python\u4e2d\u901a\u5e38\u901a\u8fc7\u5e93\u5982Matplotlib\u3001Seaborn\u548cPlotly\u6765\u5b9e\u73b0\u3002Matplotlib\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u7ed8\u56fe\u5e93\uff0c\u80fd\u591f\u751f\u6210\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\uff0c\u5305\u62ec\u7ebf\u56fe\u3001\u6761\u5f62\u56fe\u548c\u6563\u70b9\u56fe\u3002Seaborn\u57fa\u4e8eMatplotlib\uff0c\u63d0\u4f9b\u66f4\u9ad8\u5c42\u6b21\u7684\u63a5\u53e3\u548c\u7f8e\u89c2\u7684\u9ed8\u8ba4\u6837\u5f0f\uff0c\u9002\u5408\u7edf\u8ba1\u56fe\u8868\u3002Plotly\u5219\u652f\u6301\u4ea4\u4e92\u5f0f\u56fe\u8868\uff0c\u9002\u5408\u9700\u8981\u66f4\u590d\u6742\u53ef\u89c6\u5316\u7684\u5e94\u7528\u3002\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\u6765\u5c55\u793a\u6570\u636e\u3002<\/p>\n<p><strong>\u5728Python\u4e2d\u5982\u4f55\u8fdb\u884c\u9519\u8bef\u5904\u7406\uff1f<\/strong><br \/>Python\u63d0\u4f9b\u4e86\u5f02\u5e38\u5904\u7406\u673a\u5236\uff0c\u4f7f\u5f97\u5728\u8fd0\u884c\u8fc7\u7a0b\u4e2d\u51fa\u73b0\u9519\u8bef\u65f6\u53ef\u4ee5\u4f18\u96c5\u5730\u5904\u7406\u3002\u4f7f\u7528<code>try<\/code>\u548c<code>except<\/code>\u8bed\u53e5\u5757\u6765\u6355\u6349\u5e76\u5904\u7406\u5f02\u5e38\u3002\u5728<code>try<\/code>\u90e8\u5206\u653e\u7f6e\u53ef\u80fd\u51fa\u73b0\u9519\u8bef\u7684\u4ee3\u7801\uff0c\u800c\u5728<code>except<\/code>\u90e8\u5206\u53ef\u4ee5\u5b9a\u4e49\u5982\u4f55\u5904\u7406\u8fd9\u4e9b\u9519\u8bef\u3002\u8fd8\u53ef\u4ee5\u4f7f\u7528<code>else<\/code>\u5757\u6765\u6307\u5b9a\u5f53\u6ca1\u6709\u5f02\u5e38\u53d1\u751f\u65f6\u6267\u884c\u7684\u4ee3\u7801\uff0c\u6216\u8005\u4f7f\u7528<code>finally<\/code>\u5757\u6765\u6267\u884c\u4e00\u4e9b\u6e05\u7406\u64cd\u4f5c\uff0c\u65e0\u8bba\u662f\u5426\u53d1\u751f\u5f02\u5e38\u90fd\u6267\u884c\u7684\u4ee3\u7801\u3002\u8fd9\u6837\u53ef\u4ee5\u4fdd\u8bc1\u7a0b\u5e8f\u7684\u7a33\u5b9a\u6027\u548c\u53ef\u9760\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5982\u4f55\u5728Python\u4e2d\u8fdb\u884c\u6570\u636e\u5206\u6790 \u5728Python\u4e2d\u8fdb\u884c\u6570\u636e\u5206\u6790\u65f6\uff0c\u53ef\u4ee5\u5229\u7528\u4e30\u5bcc\u7684\u5e93\u8d44\u6e90\u3001\u91c7\u7528\u5408\u9002\u7684\u6570\u636e\u7ed3\u6784\u3001\u5e76 [&hellip;]","protected":false},"author":3,"featured_media":931830,"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\/931824"}],"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=931824"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/931824\/revisions"}],"predecessor-version":[{"id":931831,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/931824\/revisions\/931831"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/931830"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=931824"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=931824"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=931824"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}