{"id":944059,"date":"2024-12-26T22:59:23","date_gmt":"2024-12-26T14:59:23","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/944059.html"},"modified":"2024-12-26T22:59:26","modified_gmt":"2024-12-26T14:59:26","slug":"python%e5%a6%82%e4%bd%95%e5%86%85%e8%bf%9e%e6%8e%a5","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/944059.html","title":{"rendered":"python\u5982\u4f55\u5185\u8fde\u63a5"},"content":{"rendered":"

\"python\u5982\u4f55\u5185\u8fde\u63a5\"<\/p>\n

Python\u4e2d\u5185\u8fde\u63a5\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528Pandas\u5e93\u4e2d\u7684merge\u51fd\u6570\u5b9e\u73b0\u3001\u5185\u8fde\u63a5\u662f\u6307\u5408\u5e76\u4e24\u4e2a\u6570\u636e\u96c6\u65f6\uff0c\u53ea\u4fdd\u7559\u5728\u4e24\u4e2a\u6570\u636e\u96c6\u4e2d\u90fd\u5b58\u5728\u7684\u8bb0\u5f55\u3001\u901a\u8fc7\u6307\u5b9a\u5408\u9002\u7684\u952e\uff08Key\uff09\uff0cmerge\u51fd\u6570\u53ef\u4ee5\u975e\u5e38\u7075\u6d3b\u5730\u5b9e\u73b0\u5185\u8fde\u63a5\u64cd\u4f5c\u3002<\/strong> \u5176\u4e2d\u4e00\u4e2a\u5173\u952e\u70b9\u662f\u9009\u62e9\u9002\u5f53\u7684\u952e\u8fdb\u884c\u8fde\u63a5\uff0c\u8fd9\u901a\u5e38\u662f\u4e24\u4e2a\u6570\u636e\u96c6\u4e2d\u5177\u6709\u76f8\u540c\u4fe1\u606f\u7684\u5217\u3002\u8fd9\u91cc\u6211\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u4f7f\u7528Pandas\u8fdb\u884c\u5185\u8fde\u63a5\u64cd\u4f5c\uff0c\u5e76\u63a2\u8ba8\u4e00\u4e9b\u5e38\u89c1\u7684\u573a\u666f\u548c\u6ce8\u610f\u4e8b\u9879\u3002<\/p>\n<\/p>\n

\u4e00\u3001Pandas\u5e93\u6982\u8ff0<\/h3>\n<\/p>\n

Pandas\u662fPython\u4e2d\u6700\u6d41\u884c\u7684\u6570\u636e\u5206\u6790\u5e93\u4e4b\u4e00\uff0c\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\u3002DataFrame\u662fPandas\u4e2d\u6700\u91cd\u8981\u7684\u6570\u636e\u7ed3\u6784\u4e4b\u4e00\uff0c\u7c7b\u4f3c\u4e8e\u7535\u5b50\u8868\u683c\u6216SQL\u8868\u683c\u7684\u6570\u636e\u7ed3\u6784\u3002DataFrame\u7684\u884c\u548c\u5217\u53ef\u4ee5\u901a\u8fc7\u6807\u7b7e\u8fdb\u884c\u8bbf\u95ee\uff0c\u8fd9\u4f7f\u5f97\u6570\u636e\u64cd\u4f5c\u53d8\u5f97\u66f4\u52a0\u7b80\u5355\u3002<\/p>\n<\/p>\n

1. \u5b89\u88c5\u4e0e\u5bfc\u5165Pandas<\/h4>\n<\/p>\n

\u5728\u5f00\u59cb\u4f7f\u7528Pandas\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fdd\u5df2\u5b89\u88c5\u8be5\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528pip\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u5bfc\u5165Pandas\u5e93\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. DataFrame\u7684\u57fa\u672c\u64cd\u4f5c<\/h4>\n<\/p>\n
DataFrame\u662f\u4e00\u4e2a\u8868\u683c\u578b\u7684\u6570\u636e\u7ed3\u6784\uff0c\u5305\u542b\u4e86\u6709\u5e8f\u7684\u5217\uff0c\u53ef\u4ee5\u901a\u8fc7Pandas\u8f7b\u677e\u521b\u5efa\u548c\u64cd\u4f5cDataFrame\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684DataFrame\u521b\u5efa\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
data = {'Name': ['Alice', 'Bob', 'Charlie'],<\/p>\n
        'Age': [25, 30, 35]}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u5185\u8fde\u63a5\u7684\u5b9e\u73b0<\/h3>\n<\/p>\n
\u5185\u8fde\u63a5\u662f\u6570\u636e\u5e93\u4e2d\u4e00\u79cd\u5e38\u7528\u7684\u8fde\u63a5\u64cd\u4f5c\uff0cPandas\u7684merge\u51fd\u6570\u4f7f\u5f97\u5728DataFrame\u4e4b\u95f4\u8fdb\u884c\u8fde\u63a5\u64cd\u4f5c\u53d8\u5f97\u975e\u5e38\u7b80\u4fbf\u3002<\/p>\n<\/p>\n
1. \u4f7f\u7528merge\u5b9e\u73b0\u5185\u8fde\u63a5<\/h4>\n<\/p>\n
Pandas\u7684merge\u51fd\u6570\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u53c2\u6570\u5b9e\u73b0\u5185\u8fde\u63a5\u3002\u5047\u8bbe\u6211\u4eec\u6709\u4e24\u4e2aDataFrame\uff0c\u5206\u522b\u5305\u542b\u5b66\u751f\u7684\u57fa\u672c\u4fe1\u606f\u548c\u6210\u7ee9\u4fe1\u606f\uff1a<\/p>\n<\/p>\n
df1 = pd.DataFrame({<\/p>\n
    'StudentID': [1, 2, 3],<\/p>\n
    'Name': ['Alice', 'Bob', 'Charlie']<\/p>\n
})<\/p>\n
df2 = pd.DataFrame({<\/p>\n
    'StudentID': [1, 2, 4],<\/p>\n
    'Grade': ['A', 'B', 'C']<\/p>\n
})<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5b9e\u73b0\u5185\u8fde\u63a5\uff1a<\/p>\n<\/p>\n
result = pd.merge(df1, df2, on='StudentID', how='inner')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e0a\u8ff0\u4ee3\u7801\u5c06\u4f1a\u8f93\u51fa\u5982\u4e0b\u7ed3\u679c\uff0c\u53ea\u4fdd\u7559\u5728\u4e24\u4e2aDataFrame\u4e2d\u90fd\u5b58\u5728\u7684StudentID\u8bb0\u5f55\uff1a<\/p>\n<\/p>\n
   StudentID    Name Grade<\/p>\n
0          1   Alice     A<\/p>\n
1          2     Bob     B<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u6307\u5b9a\u591a\u4e2a\u952e\u8fdb\u884c\u5185\u8fde\u63a5<\/h4>\n<\/p>\n
\u6709\u65f6\u6211\u4eec\u53ef\u80fd\u9700\u8981\u901a\u8fc7\u591a\u4e2a\u952e\u8fdb\u884c\u5185\u8fde\u63a5\uff0c\u8fd9\u79cd\u60c5\u51b5\u4e0b\u53ef\u4ee5\u4f20\u9012\u4e00\u4e2a\u5305\u542b\u591a\u4e2a\u5217\u540d\u7684\u5217\u8868\u7ed9on\u53c2\u6570\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
df1 = pd.DataFrame({<\/p>\n
    'StudentID': [1, 2, 3],<\/p>\n
    'Class': ['Math', 'Science', 'Math'],<\/p>\n
    'Name': ['Alice', 'Bob', 'Charlie']<\/p>\n
})<\/p>\n
df2 = pd.DataFrame({<\/p>\n
    'StudentID': [1, 2, 4],<\/p>\n
    'Class': ['Math', 'Math', 'Science'],<\/p>\n
    'Grade': ['A', 'B', 'C']<\/p>\n
})<\/p>\n
result = pd.merge(df1, df2, on=['StudentID', 'Class'], how='inner')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u53ea\u6709StudentID\u548cClass\u540c\u65f6\u5339\u914d\u7684\u8bb0\u5f55\u4f1a\u88ab\u4fdd\u7559\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u5185\u8fde\u63a5\u7684\u5e38\u89c1\u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n
\u5185\u8fde\u63a5\u5e7f\u6cdb\u5e94\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u7684\u591a\u4e2a\u573a\u666f\u3002\u4e86\u89e3\u8fd9\u4e9b\u5e94\u7528\u573a\u666f\u6709\u52a9\u4e8e\u66f4\u597d\u5730\u4f7f\u7528Pandas\u8fdb\u884c\u6570\u636e\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
1. \u6570\u636e\u6e05\u6d17<\/h4>\n<\/p>\n
\u5728\u6570\u636e\u6e05\u6d17\u8fc7\u7a0b\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u5c06\u591a\u4e2a\u6570\u636e\u6e90\u4e2d\u7684\u76f8\u5173\u4fe1\u606f\u8fdb\u884c\u5408\u5e76\uff0c\u4f8b\u5982\uff0c\u5c06\u7528\u6237\u57fa\u672c\u4fe1\u606f\u8868\u548c\u7528\u6237\u6d3b\u52a8\u65e5\u5fd7\u8868\u5408\u5e76\uff0c\u751f\u6210\u4e00\u4efd\u5b8c\u6574\u7684\u7528\u6237\u6570\u636e\u8868\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u5185\u8fde\u63a5\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u53bb\u9664\u90a3\u4e9b\u5728\u67d0\u4e2a\u6570\u636e\u6e90\u4e2d\u6ca1\u6709\u5bf9\u5e94\u8bb0\u5f55\u7684\u6570\u636e\u884c\u3002<\/p>\n<\/p>\n
2. \u6570\u636e\u6574\u5408<\/h4>\n<\/p>\n
\u5728\u6570\u636e\u6574\u5408\u8fc7\u7a0b\u4e2d\uff0c\u901a\u5e38\u9700\u8981\u5c06\u4e0d\u540c\u6765\u6e90\u7684\u6570\u636e\u96c6\u8fdb\u884c\u5408\u5e76\u3002\u4f8b\u5982\uff0c\u5c06\u4e0d\u540c\u5206\u516c\u53f8\u7684\u9500\u552e\u6570\u636e\u5408\u5e76\u5230\u4e00\u4e2a\u7edf\u4e00\u7684\u8868\u4e2d\uff0c\u4ee5\u4fbf\u8fdb\u884c\u540e\u7eed\u7684\u5206\u6790\u548c\u62a5\u544a\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u5185\u8fde\u63a5\u53ef\u4ee5\u786e\u4fdd\u53ea\u4fdd\u7559\u5728\u6240\u6709\u6570\u636e\u96c6\u4e2d\u90fd\u5b58\u5728\u7684\u8bb0\u5f55\u3002<\/p>\n<\/p>\n
3. \u591a\u8868\u67e5\u8be2<\/h4>\n<\/p>\n
\u5728\u6570\u636e\u5e93\u64cd\u4f5c\u4e2d\uff0c\u5185\u8fde\u63a5\u662f\u5b9e\u73b0\u591a\u8868\u67e5\u8be2\u7684\u57fa\u7840\u3002\u901a\u8fc7\u5c06\u591a\u4e2a\u8868\u7684\u6570\u636e\u5408\u5e76\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u590d\u6742\u7684\u6570\u636e\u67e5\u8be2\u548c\u5206\u6790\uff0cPandas\u4e2d\u7684merge\u51fd\u6570\u63d0\u4f9b\u4e86\u7c7b\u4f3c\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
\u56db\u3001\u5185\u8fde\u63a5\u7684\u6ce8\u610f\u4e8b\u9879<\/h3>\n<\/p>\n
\u5728\u4f7f\u7528\u5185\u8fde\u63a5\u65f6\uff0c\u9700\u8981\u6ce8\u610f\u4ee5\u4e0b\u51e0\u70b9\uff0c\u4ee5\u907f\u514d\u5e38\u89c1\u7684\u9519\u8bef\u548c\u95ee\u9898\u3002<\/p>\n<\/p>\n
1. \u952e\u7684\u9009\u62e9<\/h4>\n<\/p>\n
\u9009\u62e9\u5408\u9002\u7684\u952e\u662f\u6210\u529f\u8fdb\u884c\u5185\u8fde\u63a5\u7684\u5173\u952e\u3002\u901a\u5e38\uff0c\u952e\u5e94\u8be5\u662f\u4e24\u4e2a\u6570\u636e\u96c6\u4e2d\u90fd\u5b58\u5728\u7684\u5217\uff0c\u5e76\u4e14\u8fd9\u4e9b\u5217\u5305\u542b\u76f8\u540c\u7c7b\u578b\u7684\u503c\u3002\u5982\u679c\u952e\u9009\u62e9\u4e0d\u5f53\uff0c\u53ef\u80fd\u4f1a\u5bfc\u81f4\u8fde\u63a5\u7ed3\u679c\u4e3a\u7a7a\u6216\u8005\u4e0d\u6b63\u786e\u3002<\/p>\n<\/p>\n
2. \u5904\u7406\u91cd\u590d\u952e<\/h4>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6570\u636e\u96c6\u4e2d\u53ef\u80fd\u5b58\u5728\u91cd\u590d\u7684\u952e\u503c\u3002\u5982\u679c\u9700\u8981\u5728\u8fd9\u6837\u7684\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u5185\u8fde\u63a5\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u63d0\u4f9b\u7684additional\u53c2\u6570\uff08\u5982suffixes\uff09\u6765\u907f\u514d\u5217\u540d\u51b2\u7a81\u3002<\/p>\n<\/p>\n
3. \u6570\u636e\u7c7b\u578b\u4e00\u81f4\u6027<\/h4>\n<\/p>\n
\u786e\u4fdd\u7528\u4e8e\u8fde\u63a5\u7684\u952e\u5728\u4e24\u4e2a\u6570\u636e\u96c6\u4e2d\u5177\u6709\u4e00\u81f4\u7684\u6570\u636e\u7c7b\u578b\u3002\u5982\u679c\u6570\u636e\u7c7b\u578b\u4e0d\u4e00\u81f4\uff0c\u53ef\u80fd\u4f1a\u5bfc\u81f4\u8fde\u63a5\u5931\u8d25\u6216\u7ed3\u679c\u4e0d\u6b63\u786e\u3002\u53ef\u4ee5\u4f7f\u7528Pandas\u7684astype\u51fd\u6570\u6765\u5f3a\u5236\u8f6c\u6362\u6570\u636e\u7c7b\u578b\u3002<\/p>\n<\/p>\n
df1['StudentID'] = df1['StudentID'].astype(int)<\/p>\n
df2['StudentID'] = df2['StudentID'].astype(int)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u5185\u8fde\u63a5\u662f\u6570\u636e\u5206\u6790\u4e2d\u7684\u4e00\u4e2a\u91cd\u8981\u64cd\u4f5c\uff0cPandas\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u800c\u7075\u6d3b\u7684\u5de5\u5177\u6765\u5b9e\u73b0\u8fd9\u4e00\u64cd\u4f5c\u3002\u901a\u8fc7\u4f7f\u7528merge\u51fd\u6570\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5728\u4e0d\u540c\u6570\u636e\u96c6\u4e4b\u95f4\u8fdb\u884c\u5185\u8fde\u63a5\uff0c\u5e76\u901a\u8fc7\u9009\u62e9\u5408\u9002\u7684\u952e\u548c\u53c2\u6570\u6765\u5b9a\u5236\u8fde\u63a5\u7ed3\u679c\u3002\u5728\u6570\u636e\u6e05\u6d17\u3001\u6574\u5408\u548c\u591a\u8868\u67e5\u8be2\u7b49\u573a\u666f\u4e2d\uff0c\u5185\u8fde\u63a5\u90fd\u626e\u6f14\u7740\u91cd\u8981\u7684\u89d2\u8272\u3002\u6ce8\u610f\u952e\u7684\u9009\u62e9\u548c\u6570\u636e\u7c7b\u578b\u7684\u4e00\u81f4\u6027\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u907f\u514d\u5e38\u89c1\u7684\u9519\u8bef\uff0c\u5e76\u786e\u4fdd\u8fde\u63a5\u64cd\u4f5c\u7684\u6b63\u786e\u6027\u548c\u6709\u6548\u6027\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u4ec0\u4e48\u662fPython\u4e2d\u7684\u5185\u8fde\u63a5\uff1f<\/strong>
\u5185\u8fde\u63a5\u662f\u4e00\u79cd\u6570\u636e\u5e93\u64cd\u4f5c\uff0c\u4e3b\u8981\u7528\u4e8e\u4ece\u4e24\u4e2a\u6216\u591a\u4e2a\u8868\u4e2d\u63d0\u53d6\u76f8\u5173\u6570\u636e\u3002\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u4e2d\u7684merge()<\/code>\u51fd\u6570\u6216\u8005SQLAlchemy\u4e0e\u6570\u636e\u5e93\u7ed3\u5408\u6765\u5b9e\u73b0\u5185\u8fde\u63a5\u3002\u8fd9\u79cd\u8fde\u63a5\u65b9\u5f0f\u53ea\u8fd4\u56de\u5728\u6240\u6709\u8fde\u63a5\u8868\u4e2d\u90fd\u5b58\u5728\u7684\u8bb0\u5f55\uff0c\u786e\u4fdd\u7ed3\u679c\u96c6\u7684\u5b8c\u6574\u6027\u3002<\/p>\n
\u5982\u4f55\u4f7f\u7528Pandas\u5e93\u8fdb\u884c\u5185\u8fde\u63a5\uff1f<\/strong>
\u4f7f\u7528Pandas\u8fdb\u884c\u5185\u8fde\u63a5\u975e\u5e38\u7b80\u5355\u3002\u9996\u5148\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86Pandas\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7pd.merge()<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u5185\u8fde\u63a5\u3002\u4f20\u5165\u4e24\u4e2aDataFrame\u53ca\u8fde\u63a5\u7684\u5217\u540d\uff0c\u8bbe\u7f6ehow='inner'<\/code>\u5373\u53ef\u3002\u4f8b\u5982\uff1a<\/p>\n
import pandas as pd\n\ndf1 = pd.DataFrame({'key': ['A', 'B', 'C'], 'value1': [1, 2, 3]})\ndf2 = pd.DataFrame({'key': ['B', 'C', 'D'], 'value2': [4, 5, 6]})\n\nresult = pd.merge(df1, df2, on='key', how='inner')\n<\/code><\/pre>\n
\u4ee5\u4e0a\u4ee3\u7801\u4f1a\u8fd4\u56de\u4ec5\u5305\u542b\u5728\u4e24\u4e2aDataFrame\u4e2d\u90fd\u5b58\u5728\u7684\u2018key\u2019\u5217\u7684\u8bb0\u5f55\u3002<\/p>\n
\u5185\u8fde\u63a5\u5728\u6570\u636e\u5206\u6790\u4e2d\u7684\u5e94\u7528\u573a\u666f\u6709\u54ea\u4e9b\uff1f<\/strong>
\u5185\u8fde\u63a5\u5728\u6570\u636e\u5206\u6790\u4e2d\u5177\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\u573a\u666f\uff0c\u4f8b\u5982\u5728\u7528\u6237\u6570\u636e\u4e0e\u8ba2\u5355\u6570\u636e\u4e4b\u95f4\u8fdb\u884c\u5173\u8054\u5206\u6790\u65f6\uff0c\u80fd\u591f\u51c6\u786e\u83b7\u53d6\u4e0b\u5355\u7528\u6237\u7684\u4fe1\u606f\u3002\u6b64\u5916\uff0c\u5185\u8fde\u63a5\u4e5f\u5e38\u7528\u4e8e\u5408\u5e76\u4e0d\u540c\u6765\u6e90\u7684\u6570\u636e\u96c6\uff0c\u4ee5\u4fbf\u8fdb\u884c\u5168\u9762\u7684\u6570\u636e\u5206\u6790\u548c\u62a5\u544a\u751f\u6210\uff0c\u4ece\u800c\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u548c\u51c6\u786e\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u4e2d\u5185\u8fde\u63a5\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528Pandas\u5e93\u4e2d\u7684merge\u51fd\u6570\u5b9e\u73b0\u3001\u5185\u8fde\u63a5\u662f\u6307\u5408\u5e76\u4e24\u4e2a\u6570\u636e\u96c6\u65f6\uff0c\u53ea\u4fdd\u7559\u5728\u4e24\u4e2a […]","protected":false},"author":3,"featured_media":944063,"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\/944059"}],"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=944059"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/944059\/revisions"}],"predecessor-version":[{"id":944064,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/944059\/revisions\/944064"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/944063"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=944059"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=944059"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=944059"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}