{"id":956488,"date":"2024-12-27T02:35:48","date_gmt":"2024-12-26T18:35:48","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/956488.html"},"modified":"2024-12-27T02:35:50","modified_gmt":"2024-12-26T18:35:50","slug":"python%e5%a6%82%e4%bd%95%e5%90%88%e5%b9%b6csv%e6%96%87%e4%bb%b6","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/956488.html","title":{"rendered":"python\u5982\u4f55\u5408\u5e76csv\u6587\u4ef6"},"content":{"rendered":"

\"python\u5982\u4f55\u5408\u5e76csv\u6587\u4ef6\"<\/p>\n

\u5f00\u5934\u6bb5\u843d\uff1a
\u8981\u5728Python\u4e2d\u5408\u5e76CSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u3001csv\u5e93\u3001os\u5e93<\/strong>\u3002\u5176\u4e2d\uff0cpandas\u5e93\u6700\u4e3a\u5e38\u7528\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u64cd\u4f5c\u529f\u80fd\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884cCSV\u6587\u4ef6\u7684\u8bfb\u53d6\u3001\u5408\u5e76\u548c\u5199\u5165\u3002\u4f7f\u7528pandas\u5408\u5e76CSV\u6587\u4ef6\u7684\u57fa\u672c\u6b65\u9aa4\u5305\u62ec\uff1a\u5bfc\u5165pandas\u5e93\u3001\u8bfb\u53d6CSV\u6587\u4ef6\u3001\u4f7f\u7528concat\u6216merge\u51fd\u6570\u5408\u5e76\u6570\u636e\u3001\u5c06\u5408\u5e76\u540e\u7684\u6570\u636e\u4fdd\u5b58\u4e3a\u65b0\u7684CSV\u6587\u4ef6\u3002\u901a\u8fc7\u8be6\u7ec6\u4e86\u89e3pandas\u5e93\u7684\u529f\u80fd\uff0c\u4f60\u53ef\u4ee5\u9ad8\u6548\u5730\u7ba1\u7406\u548c\u5904\u7406\u5927\u91cf\u7684CSV\u6570\u636e\u6587\u4ef6\u3002<\/p>\n<\/p>\n

\u4e00\u3001PANDAS\u5e93\u7684\u4f18\u52bf\u4e0e\u5b89\u88c5<\/p>\n<\/p>\n

\u4f7f\u7528pandas\u5e93\u5408\u5e76CSV\u6587\u4ef6\u7684\u4e3b\u8981\u4f18\u52bf\u5728\u4e8e\u5176\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\u3002pandas\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6\u3001\u4fee\u6539\u548c\u4fdd\u5b58CSV\u6587\u4ef6\uff0c\u540c\u65f6\u63d0\u4f9b\u4e86\u8bb8\u591a\u4fbf\u6377\u7684\u51fd\u6570\u7528\u4e8e\u6570\u636e\u64cd\u4f5c\uff0c\u5982\u6570\u636e\u6e05\u6d17\u3001\u6570\u636e\u8fc7\u6ee4\u3001\u6570\u636e\u5408\u5e76\u7b49\u3002\u6b64\u5916\uff0cpandas\u5e93\u7684DataFrame\u6570\u636e\u7ed3\u6784\u4f7f\u5f97\u5904\u7406\u6570\u636e\u53d8\u5f97\u66f4\u52a0\u76f4\u89c2\u548c\u9ad8\u6548\u3002<\/p>\n<\/p>\n

\u8981\u4f7f\u7528pandas\u5e93\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5176\u5df2\u5b89\u88c5\u5728\u4f60\u7684Python\u73af\u5883\u4e2d\u3002\u5982\u679c\u5c1a\u672a\u5b89\u88c5\uff0c\u53ef\u4ee5\u901a\u8fc7pip\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\u5c31\u53ef\u4ee5\u5f00\u59cb\u4f7f\u7528pandas\u5e93\u6765\u5904\u7406CSV\u6587\u4ef6\u4e86\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/p>\n<\/p>\n
\u5728\u5408\u5e76CSV\u6587\u4ef6\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u8bfb\u53d6\u8fd9\u4e9b\u6587\u4ef6\u3002pandas\u5e93\u63d0\u4f9b\u4e86read_csv<\/code>\u51fd\u6570\uff0c\u7528\u4e8e\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame\u5bf9\u8c61\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
df1 = pd.read_csv('file1.csv')<\/p>\n
df2 = pd.read_csv('file2.csv')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u5bfc\u5165\u4e86pandas\u5e93\uff0c\u5e76\u4f7f\u7528read_csv<\/code>\u51fd\u6570\u5206\u522b\u8bfb\u53d6\u4e86\u4e24\u4e2aCSV\u6587\u4ef6file1.csv<\/code>\u548cfile2.csv<\/code>\u3002\u8bfb\u53d6\u540e\u7684\u6570\u636e\u88ab\u5b58\u50a8\u5728DataFrame\u5bf9\u8c61df1<\/code>\u548cdf2<\/code>\u4e2d\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528CONCAT\u51fd\u6570\u5408\u5e76CSV\u6587\u4ef6<\/p>\n<\/p>\n
pandas\u5e93\u63d0\u4f9b\u4e86concat<\/code>\u51fd\u6570\uff0c\u7528\u4e8e\u6cbf\u6307\u5b9a\u8f74\u8fde\u63a5DataFrame\u5bf9\u8c61\u3002concat<\/code>\u51fd\u6570\u7684\u4f7f\u7528\u975e\u5e38\u7075\u6d3b\uff0c\u53ef\u4ee5\u5408\u5e76\u591a\u4e2aDataFrame\u5bf9\u8c61\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528concat<\/code>\u51fd\u6570\u5408\u5e76CSV\u6587\u4ef6\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u5408\u5e76\u4e24\u4e2aDataFrame<\/p>\n
merged_df = pd.concat([df1, df2], axis=0, ignore_index=True)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528concat<\/code>\u51fd\u6570\u5c06df1<\/code>\u548cdf2<\/code>\u6cbf\u884c\uff08axis=0\uff09\u65b9\u5411\u5408\u5e76\uff0c\u5e76\u901a\u8fc7\u8bbe\u7f6eignore_index=True<\/code>\u6765\u91cd\u65b0\u7d22\u5f15\u5408\u5e76\u540e\u7684DataFrame\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u4e24\u4e2aCSV\u6587\u4ef6\u5177\u6709\u76f8\u540c\u7684\u5217\u7ed3\u6784\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4f7f\u7528MERGE\u51fd\u6570\u5408\u5e76CSV\u6587\u4ef6<\/p>\n<\/p>\n
\u5bf9\u4e8e\u9700\u8981\u57fa\u4e8e\u7279\u5b9a\u5217\u8fdb\u884c\u5408\u5e76\u7684\u6570\u636e\u96c6\uff0cmerge<\/code>\u51fd\u6570\u662f\u4e00\u4e2a\u7406\u60f3\u7684\u9009\u62e9\u3002\u5b83\u7c7b\u4f3c\u4e8eSQL\u4e2d\u7684JOIN\u64cd\u4f5c\uff0c\u53ef\u4ee5\u6839\u636e\u4e00\u4e2a\u6216\u591a\u4e2a\u952e\u5c06\u4e24\u4e2aDataFrame\u5408\u5e76\u5728\u4e00\u8d77\u3002\u4ee5\u4e0b\u662fmerge<\/code>\u51fd\u6570\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u57fa\u4e8e\u6307\u5b9a\u5217\u5408\u5e76\u4e24\u4e2aDataFrame<\/p>\n
merged_df = pd.merge(df1, df2, on='key_column', how='inner')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0cmerge<\/code>\u51fd\u6570\u6839\u636ekey_column<\/code>\u5217\u7684\u503c\u5c06df1<\/code>\u548cdf2<\/code>\u5408\u5e76\u5728\u4e00\u8d77\u3002how<\/code>\u53c2\u6570\u6307\u5b9a\u4e86\u5408\u5e76\u7684\u65b9\u5f0f\uff08\u5982inner<\/code>\u3001outer<\/code>\u3001left<\/code>\u3001right<\/code>\uff09\uff0c\u53ef\u4ee5\u6839\u636e\u9700\u6c42\u9009\u62e9\u4e0d\u540c\u7684\u5408\u5e76\u65b9\u5f0f\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u4fdd\u5b58\u5408\u5e76\u540e\u7684CSV\u6587\u4ef6<\/p>\n<\/p>\n
\u5b8c\u6210\u6570\u636e\u5408\u5e76\u540e\uff0c\u9700\u8981\u5c06\u5408\u5e76\u540e\u7684DataFrame\u4fdd\u5b58\u4e3a\u65b0\u7684CSV\u6587\u4ef6\u3002pandas\u5e93\u63d0\u4f9b\u4e86to_csv<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06DataFrame\u5bf9\u8c61\u5199\u5165CSV\u6587\u4ef6\u4e2d\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u5c06\u5408\u5e76\u540e\u7684DataFrame\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6<\/p>\n
merged_df.to_csv('merged_file.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528to_csv<\/code>\u51fd\u6570\u5c06\u5408\u5e76\u540e\u7684DataFrame\u5bf9\u8c61merged_df<\/code>\u4fdd\u5b58\u4e3amerged_file.csv<\/code>\u6587\u4ef6\u3002\u901a\u8fc7\u8bbe\u7f6eindex=False<\/code>\uff0c\u6211\u4eec\u907f\u514d\u5728CSV\u6587\u4ef6\u4e2d\u4fdd\u5b58\u7d22\u5f15\u5217\u3002<\/p>\n<\/p>\n
\u516d\u3001\u4f7f\u7528OS\u5e93\u6279\u91cf\u8bfb\u53d6CSV\u6587\u4ef6<\/p>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u5408\u5e76\u591a\u4e2aCSV\u6587\u4ef6\u3002\u6b64\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528os\u5e93\u6765\u6279\u91cf\u8bfb\u53d6\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528os\u5e93\u6279\u91cf\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import os<\/p>\n
\u83b7\u53d6\u5f53\u524d\u76ee\u5f55\u4e0b\u7684\u6240\u6709CSV\u6587\u4ef6<\/strong><\/h2>\n
csv_files = [f for f in os.listdir('.') if f.endswith('.csv')]<\/p>\n
\u8bfb\u53d6\u5e76\u5408\u5e76\u6240\u6709CSV\u6587\u4ef6<\/strong><\/h2>\n
dataframes = [pd.read_csv(f) for f in csv_files]<\/p>\n
merged_df = pd.concat(dataframes, axis=0, ignore_index=True)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528os\u5e93\u7684listdir<\/code>\u51fd\u6570\u83b7\u53d6\u5f53\u524d\u76ee\u5f55\u4e0b\u7684\u6240\u6709CSV\u6587\u4ef6\uff0c\u7136\u540e\u4f7f\u7528\u5217\u8868\u89e3\u6790\u8bfb\u53d6\u6240\u6709\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528concat<\/code>\u51fd\u6570\u5c06\u5b83\u4eec\u5408\u5e76\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u5904\u7406\u5408\u5e76\u540e\u7684\u6570\u636e<\/p>\n<\/p>\n
\u5408\u5e76CSV\u6587\u4ef6\u540e\uff0c\u53ef\u80fd\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u8fdb\u4e00\u6b65\u5904\u7406\uff0c\u5982\u6570\u636e\u6e05\u6d17\u3001\u53bb\u91cd\u3001\u586b\u5145\u7f3a\u5931\u503c\u7b49\u3002pandas\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u5904\u7406\u51fd\u6570\uff0c\u53ef\u4ee5\u6ee1\u8db3\u5404\u79cd\u9700\u6c42\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u6570\u636e\u5904\u7406\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n
    \n
  1. \u53bb\u91cd<\/strong>\uff1a\u4f7f\u7528drop_duplicates<\/code>\u51fd\u6570\u53bb\u9664\u91cd\u590d\u884c\u3002<\/li>\n<\/ol>\n
    # \u53bb\u9664\u91cd\u590d\u884c<\/p>\n
    merged_df = merged_df.drop_duplicates()<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u586b\u5145\u7f3a\u5931\u503c<\/strong>\uff1a\u4f7f\u7528fillna<\/code>\u51fd\u6570\u586b\u5145\u7f3a\u5931\u503c\u3002<\/li>\n<\/ol>\n
      # \u586b\u5145\u7f3a\u5931\u503c<\/p>\n
      merged_df = merged_df.fillna(0)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
        \n
      1. \u6570\u636e\u8fc7\u6ee4<\/strong>\uff1a\u4f7f\u7528\u6761\u4ef6\u8868\u8fbe\u5f0f\u8fc7\u6ee4\u6570\u636e\u3002<\/li>\n<\/ol>\n
        # \u8fc7\u6ee4\u6ee1\u8db3\u6761\u4ef6\u7684\u6570\u636e<\/p>\n
        filtered_df = merged_df[merged_df['column_name'] > threshold_value]<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u901a\u8fc7\u8fd9\u4e9b\u64cd\u4f5c\uff0c\u53ef\u4ee5\u5bf9\u5408\u5e76\u540e\u7684\u6570\u636e\u8fdb\u884c\u66f4\u7ec6\u81f4\u7684\u7ba1\u7406\u548c\u5206\u6790\uff0c\u4ee5\u83b7\u5f97\u66f4\u6709\u4ef7\u503c\u7684\u4fe1\u606f\u3002<\/p>\n<\/p>\n
        \u516b\u3001\u603b\u7ed3<\/p>\n<\/p>\n
        \u5408\u5e76CSV\u6587\u4ef6\u662f\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u8fc7\u7a0b\u4e2d\u5e38\u89c1\u7684\u4efb\u52a1\uff0cPython\u4e2d\u7684pandas\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u800c\u7075\u6d3b\u7684\u5de5\u5177\u6765\u5b8c\u6210\u8fd9\u9879\u5de5\u4f5c\u3002\u901a\u8fc7\u638c\u63e1pandas\u5e93\u7684\u57fa\u672c\u64cd\u4f5c\uff0c\u5982\u8bfb\u53d6\u3001\u5408\u5e76\u548c\u4fdd\u5b58CSV\u6587\u4ef6\uff0c\u4ee5\u53ca\u5229\u7528\u5176\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u5904\u7406\u548c\u5206\u6790\u5927\u91cf\u7684\u6570\u636e\u6587\u4ef6\uff0c\u4e3a\u6570\u636e\u9a71\u52a8\u51b3\u7b56\u63d0\u4f9b\u6709\u529b\u652f\u6301\u3002\u5e0c\u671b\u672c\u6587\u80fd\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528Python\u5408\u5e76CSV\u6587\u4ef6\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
        \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
         \u5982\u4f55\u4f7f\u7528Python\u5408\u5e76\u591a\u4e2aCSV\u6587\u4ef6\uff1f<\/strong>
        \u4f7f\u7528Python\u5408\u5e76\u591a\u4e2aCSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u901a\u8fc7pandas\u5e93\u6765\u5b9e\u73b0\u3002\u9996\u5148\uff0c\u9700\u8981\u5b89\u88c5pandas\u5e93\uff0c\u5982\u679c\u5c1a\u672a\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528pip install pandas<\/code>\u8fdb\u884c\u5b89\u88c5\u3002\u63a5\u7740\uff0c\u5bfc\u5165pandas\u5e76\u4f7f\u7528pd.concat()<\/code>\u51fd\u6570\u5c06\u591a\u4e2aCSV\u6587\u4ef6\u5408\u5e76\u4e3a\u4e00\u4e2aDataFrame\u3002\u8bfb\u53d6\u6bcf\u4e2aCSV\u6587\u4ef6\u7684\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u5c06\u5b83\u4eec\u5b58\u50a8\u5728\u4e00\u4e2a\u5217\u8868\u4e2d\uff0c\u6700\u540e\u4f7f\u7528pd.concat()<\/code>\u51fd\u6570\u5c06\u5217\u8868\u4e2d\u7684\u6570\u636e\u5408\u5e76\u3002<\/p>\n
        \u5408\u5e76CSV\u6587\u4ef6\u65f6\u5982\u4f55\u5904\u7406\u4e0d\u540c\u5217\u540d\u7684\u60c5\u51b5\uff1f<\/strong>
        \u5728\u5408\u5e76CSV\u6587\u4ef6\u65f6\uff0c\u5982\u679c\u4e0d\u540c\u7684\u6587\u4ef6\u6709\u4e0d\u540c\u7684\u5217\u540d\uff0c\u53ef\u4ee5\u4f7f\u7528pd.concat()<\/code>\u4e2d\u7684ignore_index=True<\/code>\u53c2\u6570\u6765\u91cd\u65b0\u751f\u6210\u7d22\u5f15\uff0c\u5e76\u8bbe\u7f6ejoin='outer'<\/code>\u4ee5\u5305\u542b\u6240\u6709\u5217\u3002\u8fd9\u6837\uff0c\u5373\u4f7f\u67d0\u4e9b\u5217\u5728\u90e8\u5206\u6587\u4ef6\u4e2d\u7f3a\u5931\uff0c\u5408\u5e76\u540e\u7684DataFrame\u4e5f\u4f1a\u5305\u542b\u6240\u6709\u5217\uff0c\u7f3a\u5931\u503c\u5c06\u7528NaN\u586b\u5145\u3002<\/p>\n
        \u662f\u5426\u53ef\u4ee5\u5728\u5408\u5e76CSV\u6587\u4ef6\u65f6\u8fdb\u884c\u6570\u636e\u6e05\u6d17\uff1f<\/strong>
        \u5728\u5408\u5e76CSV\u6587\u4ef6\u4e4b\u524d\uff0c\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u662f\u4e2a\u597d\u4e3b\u610f\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5728\u8bfb\u53d6\u6bcf\u4e2a\u6587\u4ef6\u65f6\uff0c\u4f7f\u7528dropna()<\/code>\u65b9\u6cd5\u53bb\u9664\u7f3a\u5931\u503c\uff0c\u6216\u8005\u4f7f\u7528replace()<\/code>\u65b9\u6cd5\u66ff\u6362\u7279\u5b9a\u503c\u3002\u5728\u5408\u5e76\u540e\uff0c\u4e5f\u53ef\u4ee5\u5bf9\u5408\u5e76\u540e\u7684DataFrame\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u6570\u636e\u5904\u7406\u548c\u6e05\u6d17\uff0c\u4ee5\u786e\u4fdd\u6570\u636e\u7684\u4e00\u81f4\u6027\u548c\u51c6\u786e\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5f00\u5934\u6bb5\u843d\uff1a\u8981\u5728Python\u4e2d\u5408\u5e76CSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u3001csv\u5e93\u3001os\u5e93\u3002\u5176\u4e2d\uff0cpandas\u5e93\u6700\u4e3a […]","protected":false},"author":3,"featured_media":956490,"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\/956488"}],"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=956488"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/956488\/revisions"}],"predecessor-version":[{"id":956491,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/956488\/revisions\/956491"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/956490"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=956488"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=956488"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=956488"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}