{"id":946187,"date":"2024-12-26T23:37:20","date_gmt":"2024-12-26T15:37:20","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/946187.html"},"modified":"2024-12-26T23:37:24","modified_gmt":"2024-12-26T15:37:24","slug":"python%e5%a6%82%e4%bd%95%e4%bd%bf%e7%94%a8csv","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/946187.html","title":{"rendered":"python\u5982\u4f55\u4f7f\u7528csv"},"content":{"rendered":"

\"python\u5982\u4f55\u4f7f\u7528csv\"<\/p>\n

Python\u4f7f\u7528CSV\u7684\u65b9\u5f0f\u4e3b\u8981\u6709\uff1a\u4f7f\u7528\u5185\u7f6e\u7684csv\u6a21\u5757\u3001\u4f7f\u7528pandas\u5e93\u3001\u4f7f\u7528numpy\u5e93\u3002\u63a8\u8350\u4f7f\u7528csv\u6a21\u5757\uff0c\u56e0\u4e3a\u5b83\u662fPython\u5185\u7f6e\u7684\uff0c\u7b80\u5355\u6613\u7528\uff0c\u9002\u5408\u5904\u7406\u8f83\u5c0f\u89c4\u6a21\u7684\u6570\u636e\u3002<\/strong><\/p>\n<\/p>\n

CSV\uff08Comma-Separated Values\uff09\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u6570\u636e\u5b58\u50a8\u683c\u5f0f\uff0c\u5e38\u7528\u4e8e\u5b58\u50a8\u8868\u683c\u6570\u636e\u3002Python\u63d0\u4f9b\u4e86\u591a\u79cd\u5904\u7406CSV\u6587\u4ef6\u7684\u65b9\u5f0f\uff0c\u4ee5\u4e0b\u662f\u5bf9\u4e0a\u8ff0\u65b9\u6cd5\u7684\u8be6\u7ec6\u4ecb\u7ecd\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528CSV\u6a21\u5757<\/p>\n<\/p>\n

    \n
  1. CSV\u6a21\u5757\u7b80\u4ecb<\/li>\n<\/ol>\n

    Python\u81ea\u5e26\u7684csv\u6a21\u5757\u63d0\u4f9b\u4e86\u5bf9CSV\u6587\u4ef6\u7684\u8bfb\u5199\u652f\u6301\uff0c\u9002\u5408\u5904\u7406\u7b80\u5355\u7684CSV\u6587\u4ef6\u3002\u5b83\u652f\u6301\u591a\u79cd\u5206\u9694\u7b26\u3001\u5f15\u53f7\u5b57\u7b26\u7b49\u914d\u7f6e\uff0c\u80fd\u591f\u6ee1\u8db3\u5927\u90e8\u5206\u5e38\u89c1\u9700\u6c42\u3002\u4f7f\u7528csv\u6a21\u5757\u65f6\uff0c\u9700\u8981\u5148\u5bfc\u5165\u6a21\u5757\uff0c\u7136\u540e\u901a\u8fc7csv.reader\u548ccsv.writer\u6765\u8bfb\u5199CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n

      \n
    1. \u4f7f\u7528csv.reader\u8bfb\u53d6CSV\u6587\u4ef6<\/li>\n<\/ol>\n

      \u4f7f\u7528csv.reader\u53ef\u4ee5\u5f88\u65b9\u4fbf\u5730\u8bfb\u53d6CSV\u6587\u4ef6\u3002\u9996\u5148\u6253\u5f00\u6587\u4ef6\uff0c\u7136\u540e\u5c06\u6587\u4ef6\u5bf9\u8c61\u4f20\u9012\u7ed9csv.reader\uff0c\u63a5\u7740\u5c31\u53ef\u4ee5\u9010\u884c\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u5185\u5bb9\u3002<\/p>\n<\/p>\n

      import csv<\/p>\n
      with open('example.csv', mode='r', newline='') as file:<\/p>\n
          csv_reader = csv.reader(file)<\/p>\n
          for row in csv_reader:<\/p>\n
              print(row)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0copen<\/code>\u51fd\u6570\u7528\u4e8e\u6253\u5f00CSV\u6587\u4ef6\uff0ccsv.reader<\/code>\u7528\u4e8e\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9\uff0cfor<\/code>\u5faa\u73af\u7528\u4e8e\u9010\u884c\u904d\u5386CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
        \n
      1. \u4f7f\u7528csv.writer\u5199\u5165CSV\u6587\u4ef6<\/li>\n<\/ol>\n
        csv.writer\u53ef\u4ee5\u7528\u4e8e\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u4e2d\u3002\u9700\u8981\u63d0\u4f9b\u4e00\u4e2a\u6587\u4ef6\u5bf9\u8c61\u7ed9csv.writer\uff0c\u7136\u540e\u4f7f\u7528writerow\u65b9\u6cd5\u9010\u884c\u5199\u5165\u6570\u636e\u3002<\/p>\n<\/p>\n
        import csv<\/p>\n
        data = [['Name', 'Age', 'City'], ['Alice', 28, 'New York'], ['Bob', 22, 'Los Angeles']]<\/p>\n
        with open('example.csv', mode='w', newline='') as file:<\/p>\n
            csv_writer = csv.writer(file)<\/p>\n
            csv_writer.writerows(data)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5728\u6b64\u4ee3\u7801\u4e2d\uff0c\u4f7f\u7528csv.writer<\/code>\u521b\u5efa\u4e00\u4e2a\u5199\u5bf9\u8c61\uff0c\u5e76\u7528writerows<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u5199\u5165\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
        \u4e8c\u3001\u4f7f\u7528Pandas\u5e93<\/p>\n<\/p>\n
          \n
        1. Pandas\u5e93\u7b80\u4ecb<\/li>\n<\/ol>\n
          Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u4e0e\u5904\u7406\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u64cd\u4f5c\u7ed3\u6784\u5316\u6570\u636e\u3002\u4e0ecsv\u6a21\u5757\u76f8\u6bd4\uff0cPandas\u66f4\u9002\u5408\u5904\u7406\u5927\u578b\u548c\u590d\u6742\u7684\u6570\u636e\u96c6\u3002\u5b83\u53ef\u4ee5\u8f7b\u677e\u5730\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u3001\u8f6c\u6362\u3001\u5408\u5e76\u7b49\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
            \n
          1. \u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6<\/li>\n<\/ol>\n
            Pandas\u63d0\u4f9b\u4e86read_csv\u51fd\u6570\u6765\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame\u5bf9\u8c61\uff0c\u4fbf\u4e8e\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n
            import pandas as pd<\/p>\n
            df = pd.read_csv('example.csv')<\/p>\n
            print(df)<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0cpd.read_csv<\/code>\u51fd\u6570\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u5185\u5bb9\u5b58\u50a8\u5728DataFrame\u4e2d\u3002<\/p>\n<\/p>\n
              \n
            1. \u4f7f\u7528Pandas\u5199\u5165CSV\u6587\u4ef6<\/li>\n<\/ol>\n
              Pandas\u7684to_csv\u65b9\u6cd5\u53ef\u4ee5\u5c06DataFrame\u5bf9\u8c61\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
              import pandas as pd<\/p>\n
              data = {'Name': ['Alice', 'Bob'], 'Age': [28, 22], 'City': ['New York', 'Los Angeles']}<\/p>\n
              df = pd.DataFrame(data)<\/p>\n
              df.to_csv('example.csv', index=False)<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u8be5\u4ee3\u7801\u5c06DataFrame\u5bf9\u8c61\u7684\u6570\u636e\u5199\u5165\u5230CSV\u6587\u4ef6\u4e2d\uff0cindex=False<\/code>\u53c2\u6570\u7528\u4e8e\u53d6\u6d88\u5199\u5165\u884c\u7d22\u5f15\u3002<\/p>\n<\/p>\n
              \u4e09\u3001\u4f7f\u7528NumPy\u5e93<\/p>\n<\/p>\n
                \n
              1. NumPy\u5e93\u7b80\u4ecb<\/li>\n<\/ol>\n
                NumPy\u662f\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u5e93\uff0c\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u591a\u7ef4\u6570\u7ec4\u5bf9\u8c61\u3002\u5c3d\u7ba1NumPy\u4e0d\u5982Pandas\u90a3\u6837\u76f4\u63a5\u652f\u6301CSV\u6587\u4ef6\u7684\u5904\u7406\uff0c\u4f46\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e9b\u57fa\u672c\u7684\u8bfb\u5199\u51fd\u6570\u3002<\/p>\n<\/p>\n
                  \n
                1. \u4f7f\u7528NumPy\u8bfb\u53d6CSV\u6587\u4ef6<\/li>\n<\/ol>\n
                  NumPy\u7684loadtxt\u51fd\u6570\u53ef\u4ee5\u7528\u4e8e\u8bfb\u53d6\u7b80\u5355\u7684CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
                  import numpy as np<\/p>\n
                  data = np.loadtxt('example.csv', delimiter=',', skiprows=1)<\/p>\n
                  print(data)<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u5728\u6b64\u4ee3\u7801\u4e2d\uff0cnp.loadtxt<\/code>\u51fd\u6570\u8bfb\u53d6CSV\u6587\u4ef6\uff0cdelimiter<\/code>\u53c2\u6570\u6307\u5b9a\u5206\u9694\u7b26\uff0cskiprows<\/code>\u53c2\u6570\u6307\u5b9a\u8df3\u8fc7\u7684\u884c\u6570\uff08\u901a\u5e38\u662f\u8868\u5934\u884c\uff09\u3002<\/p>\n<\/p>\n
                    \n
                  1. \u4f7f\u7528NumPy\u5199\u5165CSV\u6587\u4ef6<\/li>\n<\/ol>\n
                    NumPy\u7684savetxt\u51fd\u6570\u53ef\u4ee5\u7528\u4e8e\u5c06\u6570\u7ec4\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
                    import numpy as np<\/p>\n
                    data = np.array([[28, 'Alice', 'New York'], [22, 'Bob', 'Los Angeles']])<\/p>\n
                    np.savetxt('example.csv', data, delimiter=',', fmt='%s')<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                    \u5728\u6b64\u4ee3\u7801\u4e2d\uff0cnp.savetxt<\/code>\u51fd\u6570\u7528\u4e8e\u5c06\u6570\u7ec4\u5199\u5165CSV\u6587\u4ef6\uff0cfmt='%s'<\/code>\u53c2\u6570\u6307\u5b9a\u6570\u636e\u683c\u5f0f\u3002<\/p>\n<\/p>\n
                    \u56db\u3001CSV\u6587\u4ef6\u7684\u9ad8\u7ea7\u5904\u7406<\/p>\n<\/p>\n
                      \n
                    1. \u5904\u7406\u5927\u6587\u4ef6<\/li>\n<\/ol>\n
                      \u5bf9\u4e8e\u975e\u5e38\u5927\u7684CSV\u6587\u4ef6\uff0cpandas\u7684chunk\u673a\u5236\u53ef\u4ee5\u7528\u4e8e\u5206\u5757\u5904\u7406\u3002\u53ef\u4ee5\u4f7f\u7528chunksize<\/code>\u53c2\u6570\u9010\u5757\u8bfb\u53d6\u6570\u636e\uff0c\u964d\u4f4e\u5185\u5b58\u4f7f\u7528\u3002<\/p>\n<\/p>\n
                      import pandas as pd<\/p>\n
                      for chunk in pd.read_csv('large_file.csv', chunksize=1000):<\/p>\n
                          process(chunk)<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                        \n
                      1. \u5904\u7406\u4e0d\u540c\u7684\u5206\u9694\u7b26<\/li>\n<\/ol>\n
                        CSV\u6587\u4ef6\u4e0d\u4e00\u5b9a\u4f7f\u7528\u9017\u53f7\u4f5c\u4e3a\u5206\u9694\u7b26\uff0c\u53ef\u80fd\u4f7f\u7528\u5236\u8868\u7b26\u3001\u5206\u53f7\u7b49\u3002csv\u6a21\u5757\u548cpandas\u7684\u51fd\u6570\u90fd\u5141\u8bb8\u6307\u5b9a\u5206\u9694\u7b26\u3002<\/p>\n<\/p>\n
                        import pandas as pd<\/p>\n
                        df = pd.read_csv('example.csv', delimiter=';')<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                          \n
                        1. \u5904\u7406\u7f3a\u5931\u503c<\/li>\n<\/ol>\n
                          \u5728\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\uff0c\u7ecf\u5e38\u4f1a\u9047\u5230\u7f3a\u5931\u503c\u3002Pandas\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u5904\u7406\u7f3a\u5931\u503c\uff0c\u4f8b\u5982fillna<\/code>\u65b9\u6cd5\u53ef\u4ee5\u7528\u6307\u5b9a\u503c\u586b\u5145NaN\u3002<\/p>\n<\/p>\n
                          import pandas as pd<\/p>\n
                          df = pd.read_csv('example.csv')<\/p>\n
                          df.fillna(0, inplace=True)<\/p>\n
                          <\/code><\/pre>\n<\/p>\n
                            \n
                          1. \u6570\u636e\u7c7b\u578b\u8f6c\u6362<\/li>\n<\/ol>\n
                            \u5728\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\uff0c\u53ef\u80fd\u9700\u8981\u5c06\u6570\u636e\u8f6c\u6362\u4e3a\u7279\u5b9a\u7684\u6570\u636e\u7c7b\u578b\u3002Pandas\u63d0\u4f9b\u4e86astype<\/code>\u65b9\u6cd5\u6765\u5b9e\u73b0\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u3002<\/p>\n<\/p>\n
                            import pandas as pd<\/p>\n
                            df = pd.read_csv('example.csv')<\/p>\n
                            df['Age'] = df['Age'].astype(int)<\/p>\n
                            <\/code><\/pre>\n<\/p>\n
                            \u4e94\u3001CSV\u6587\u4ef6\u7684\u5e38\u89c1\u5e94\u7528\u573a\u666f<\/p>\n<\/p>\n
                              \n
                            1. \u6570\u636e\u5206\u6790<\/li>\n<\/ol>\n
                              CSV\u6587\u4ef6\u5e38\u7528\u4e8e\u5b58\u50a8\u6570\u636e\u96c6\uff0c\u65b9\u4fbf\u8fdb\u884c\u6570\u636e\u5206\u6790\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5c06\u5b9e\u9a8c\u6570\u636e\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff0c\u7136\u540e\u4f7f\u7528Pandas\u8fdb\u884c\u6570\u636e\u5206\u6790\u3002<\/p>\n<\/p>\n
                                \n
                              1. \u6570\u636e\u4ea4\u6362<\/li>\n<\/ol>\n
                                CSV\u6587\u4ef6\u683c\u5f0f\u7b80\u5355\uff0c\u517c\u5bb9\u6027\u597d\uff0c\u9002\u5408\u7528\u4e8e\u4e0d\u540c\u7cfb\u7edf\u4e4b\u95f4\u7684\u6570\u636e\u4ea4\u6362\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5c06\u6570\u636e\u5e93\u4e2d\u7684\u6570\u636e\u5bfc\u51fa\u4e3aCSV\u6587\u4ef6\uff0c\u7136\u540e\u5bfc\u5165\u5230\u53e6\u4e00\u4e2a\u7cfb\u7edf\u3002<\/p>\n<\/p>\n
                                  \n
                                1. \u6570\u636e\u5907\u4efd<\/li>\n<\/ol>\n
                                  CSV\u6587\u4ef6\u662f\u4e00\u4e2a\u826f\u597d\u7684\u6570\u636e\u5907\u4efd\u683c\u5f0f\uff0c\u4fbf\u4e8e\u957f\u671f\u4fdd\u5b58\u548c\u67e5\u770b\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5c06\u7528\u6237\u4fe1\u606f\u5bfc\u51fa\u4e3aCSV\u6587\u4ef6\uff0c\u4fdd\u5b58\u5230\u5b89\u5168\u7684\u5b58\u50a8\u4ecb\u8d28\u3002<\/p>\n<\/p>\n
                                  \u901a\u8fc7\u4ee5\u4e0a\u5185\u5bb9\uff0c\u60a8\u5e94\u8be5\u80fd\u591f\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528CSV\u6587\u4ef6\uff0c\u5e76\u9009\u62e9\u9002\u5408\u81ea\u5df1\u7684\u65b9\u6cd5\u6765\u5904\u7406CSV\u6570\u636e\u3002\u6839\u636e\u4e0d\u540c\u7684\u9700\u6c42\uff0c\u53ef\u4ee5\u7075\u6d3b\u5730\u4f7f\u7528csv\u6a21\u5757\u3001Pandas\u5e93\u6216NumPy\u5e93\u6765\u5b9e\u73b0CSV\u6587\u4ef6\u7684\u8bfb\u5199\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n
                                  \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                                   \u5728Python\u4e2d\uff0c\u5982\u4f55\u8bfb\u53d6CSV\u6587\u4ef6\uff1f<\/strong>
                                  \u8981\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u3002\u9996\u5148\uff0c\u9700\u8981\u5bfc\u5165\u8be5\u6a21\u5757\uff0c\u7136\u540e\u4f7f\u7528csv.reader()<\/code>\u65b9\u6cd5\u6253\u5f00\u6587\u4ef6\u5e76\u8bfb\u53d6\u6570\u636e\u3002\u4f8b\u5982\uff1a  <\/p>\n
                                  import csv\n\nwith open('\u6587\u4ef6\u540d.csv', mode='r', encoding='utf-8') as file:\n    reader = csv.reader(file)\n    for row in reader:\n        print(row)\n<\/code><\/pre>\n
                                  \u8fd9\u6837\u53ef\u4ee5\u9010\u884c\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u5185\u5bb9\uff0c\u5e76\u5c06\u6bcf\u4e00\u884c\u4f5c\u4e3a\u5217\u8868\u8f93\u51fa\u3002<\/p>\n
                                  \u5982\u4f55\u5728Python\u4e2d\u5199\u5165CSV\u6587\u4ef6\uff1f<\/strong>
                                  \u5199\u5165CSV\u6587\u4ef6\u4e5f\u53ef\u4ee5\u4f7f\u7528csv<\/code>\u6a21\u5757\u3002\u4f7f\u7528csv.writer()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u5199\u5165\u5bf9\u8c61\uff0c\u5e76\u901a\u8fc7writerow()<\/code>\u6216writerows()<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u5199\u5165\u6587\u4ef6\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n
                                  import csv\n\ndata = [['\u59d3\u540d', '\u5e74\u9f84'], ['Alice', 30], ['Bob', 25]]\nwith open('\u8f93\u51fa\u6587\u4ef6.csv', mode='w', newline='', encoding='utf-8') as file:\n    writer = csv.writer(file)\n    writer.writerows(data)\n<\/code><\/pre>\n
                                  \u8fd9\u6bb5\u4ee3\u7801\u4f1a\u521b\u5efa\u4e00\u4e2a\u65b0\u7684CSV\u6587\u4ef6\u5e76\u5199\u5165\u6570\u636e\u3002<\/p>\n
                                  \u5982\u4f55\u5904\u7406\u5305\u542b\u7279\u6b8a\u5b57\u7b26\u7684CSV\u6587\u4ef6\uff1f<\/strong>
                                  \u5f53CSV\u6587\u4ef6\u4e2d\u5305\u542b\u7279\u6b8a\u5b57\u7b26\uff08\u5982\u9017\u53f7\u3001\u6362\u884c\u7b26\u7b49\uff09\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528csv<\/code>\u6a21\u5757\u7684\u53c2\u6570\u8fdb\u884c\u5904\u7406\u3002\u4f8b\u5982\uff0c\u901a\u8fc7\u8bbe\u7f6equotechar<\/code>\u548cescapechar<\/code>\u53ef\u4ee5\u786e\u4fdd\u7279\u6b8a\u5b57\u7b26\u4e0d\u4f1a\u5e72\u6270CSV\u683c\u5f0f\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u5904\u7406\u7279\u6b8a\u5b57\u7b26\u7684\u793a\u4f8b\uff1a  <\/p>\n
                                  import csv\n\ndata = [['\u59d3\u540d', '\u5730\u5740'], ['Alice', '123, MAI<\/a>n St\\nCity'], ['Bob', '456, Other St']]\nwith open('\u7279\u6b8a\u5b57\u7b26\u6587\u4ef6.csv', mode='w', newline='', encoding='utf-8') as file:\n    writer = csv.writer(file, quotechar='"', escapechar='\\\\')\n    writer.writerows(data)\n<\/code><\/pre>\n
                                  \u8fd9\u6837\uff0c\u7279\u6b8a\u5b57\u7b26\u4f1a\u88ab\u6b63\u786e\u5904\u7406\uff0c\u786e\u4fdd\u6570\u636e\u7684\u5b8c\u6574\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u4f7f\u7528CSV\u7684\u65b9\u5f0f\u4e3b\u8981\u6709\uff1a\u4f7f\u7528\u5185\u7f6e\u7684csv\u6a21\u5757\u3001\u4f7f\u7528pandas\u5e93\u3001\u4f7f\u7528numpy\u5e93\u3002\u63a8\u8350\u4f7f\u7528csv […]","protected":false},"author":3,"featured_media":946194,"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\/946187"}],"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=946187"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/946187\/revisions"}],"predecessor-version":[{"id":946195,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/946187\/revisions\/946195"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/946194"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=946187"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=946187"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=946187"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}