{"id":973675,"date":"2024-12-27T05:58:53","date_gmt":"2024-12-26T21:58:53","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/973675.html"},"modified":"2024-12-27T05:58:55","modified_gmt":"2024-12-26T21:58:55","slug":"python%e5%a6%82%e4%bd%95%e4%bc%a0%e5%85%a5csv%e6%95%b0%e6%8d%ae","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/973675.html","title":{"rendered":"python\u5982\u4f55\u4f20\u5165csv\u6570\u636e"},"content":{"rendered":"

\"python\u5982\u4f55\u4f20\u5165csv\u6570\u636e\"<\/p>\n

Python\u4f20\u5165CSV\u6570\u636e\u7684\u65b9\u5f0f\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u3001pandas<\/code>\u5e93\u3001numpy<\/code>\u5e93\u7b49\u3002<\/strong>\u8fd9\u4e9b\u65b9\u6cd5\u5404\u6709\u4f18\u7f3a\u70b9\uff0c\u4f8b\u5982\uff0ccsv<\/code>\u6a21\u5757\u662fPython\u7684\u6807\u51c6\u5e93\uff0c\u4f7f\u7528\u7b80\u5355\uff0c\u9002\u5408\u5904\u7406\u5c0f\u578b\u6570\u636e\u6587\u4ef6\uff1b\u800cpandas<\/code>\u5e93\u529f\u80fd\u5f3a\u5927\uff0c\u9002\u5408\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u5e76\u8fdb\u884c\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u5e76\u63a2\u8ba8\u5982\u4f55\u5728\u4e0d\u540c\u573a\u666f\u4e2d\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

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

Python\u7684\u5185\u7f6ecsv<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u57fa\u7840\u7684CSV\u6587\u4ef6\u8bfb\u5199\u529f\u80fd\u3002\u5b83\u9002\u5408\u7528\u4e8e\u7b80\u5355\u7684CSV\u6587\u4ef6\u5904\u7406\u3002<\/p>\n<\/p>\n

    \n
  1. \u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n

    \u4f7f\u7528csv<\/code>\u6a21\u5757\u8bfb\u53d6CSV\u6587\u4ef6\u975e\u5e38\u7b80\u5355\u3002\u53ef\u4ee5\u4f7f\u7528csv.reader<\/code>\u6765\u9010\u884c\u8bfb\u53d6\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aPython\u7684\u6570\u636e\u7ed3\u6784\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n

    import csv<\/p>\n
    with open('data.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\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u6253\u5f00\u4e86\u4e00\u4e2a\u540d\u4e3adata.csv<\/code>\u7684\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528csv.reader<\/code>\u8bfb\u53d6\u6bcf\u4e00\u884c\u3002csv.reader<\/code>\u8fd4\u56de\u4e00\u4e2a\u53ef\u8fed\u4ee3\u7684\u5bf9\u8c61\uff0c\u6bcf\u6b21\u8fed\u4ee3\u8fd4\u56de\u4e00\u884c\u6570\u636e\u3002<\/p>\n<\/p>\n
      \n
    1. \u5199\u5165CSV\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n
      \u5199\u5165CSV\u6587\u4ef6\u540c\u6837\u7b80\u5355\u3002\u53ef\u4ee5\u4f7f\u7528csv.writer<\/code>\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
      import csv<\/p>\n
      data = [['Name', 'Age', 'City'],<\/p>\n
              ['Alice', 30, 'New York'],<\/p>\n
              ['Bob', 25, 'Los Angeles']]<\/p>\n
      with open('output.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\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0ccsv.writer<\/code>\u7684writerows<\/code>\u65b9\u6cd5\u7528\u4e8e\u5c06\u6570\u636e\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
      \u4e8c\u3001\u4f7f\u7528Pandas\u5e93<\/p>\n<\/p>\n
      pandas<\/code>\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u9002\u5408\u4e8e\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u548c\u8fdb\u884c\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u3002\u5b83\u63d0\u4f9b\u4e86\u66f4\u9ad8\u5c42\u6b21\u7684\u63a5\u53e3\u6765\u5904\u7406CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
        \n
      1. \u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n
        pandas<\/code>\u63d0\u4f9b\u4e86read_csv<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame\u3002<\/p>\n<\/p>\n
        import pandas as pd<\/p>\n
        df = pd.read_csv('data.csv')<\/p>\n
        print(df.head())<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u8fd9\u91cc\uff0cread_csv<\/code>\u51fd\u6570\u8bfb\u53d6data.csv<\/code>\u6587\u4ef6\u5e76\u8fd4\u56de\u4e00\u4e2aDataFrame\u5bf9\u8c61\u3002\u53ef\u4ee5\u4f7f\u7528DataFrame\u7684\u8bb8\u591a\u65b9\u6cd5\u6765\u8fdb\u4e00\u6b65\u5904\u7406\u548c\u5206\u6790\u6570\u636e\u3002<\/p>\n<\/p>\n
          \n
        1. \u5199\u5165CSV\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n
          \u53ef\u4ee5\u4f7f\u7528DataFrame.to_csv<\/code>\u65b9\u6cd5\u5c06DataFrame\u5bf9\u8c61\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
          import pandas as pd<\/p>\n
          data = {'Name': ['Alice', 'Bob'],<\/p>\n
                  'Age': [30, 25],<\/p>\n
                  'City': ['New York', 'Los Angeles']}<\/p>\n
          df = pd.DataFrame(data)<\/p>\n
          df.to_csv('output.csv', index=False)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2aDataFrame\u5bf9\u8c61\uff0c\u5e76\u4f7f\u7528to_csv<\/code>\u65b9\u6cd5\u5c06\u5176\u5199\u5165output.csv<\/code>\u6587\u4ef6\u3002index=False<\/code>\u53c2\u6570\u7528\u4e8e\u907f\u514d\u5c06\u884c\u7d22\u5f15\u5199\u5165\u6587\u4ef6\u3002<\/p>\n<\/p>\n
          \u4e09\u3001\u4f7f\u7528Numpy\u5e93<\/p>\n<\/p>\n
          numpy<\/code>\u5e93\u4e3b\u8981\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\uff0c\u4f46\u4e5f\u53ef\u4ee5\u7528\u4e8e\u5904\u7406CSV\u6570\u636e\u3002\u5b83\u9002\u5408\u4e8e\u6570\u503c\u6570\u636e\u7684\u5904\u7406\u3002<\/p>\n<\/p>\n
            \n
          1. \u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n
            \u53ef\u4ee5\u4f7f\u7528numpy<\/code>\u7684genfromtxt<\/code>\u6216loadtxt<\/code>\u51fd\u6570\u8bfb\u53d6CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
            import numpy as np<\/p>\n
            data = np.genfromtxt('data.csv', delimiter=',', skip_header=1)<\/p>\n
            print(data)<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0cgenfromtxt<\/code>\u51fd\u6570\u8bfb\u53d6data.csv<\/code>\u6587\u4ef6\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u4e00\u4e2aNumPy\u6570\u7ec4\u3002delimiter<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9aCSV\u6587\u4ef6\u7684\u5206\u9694\u7b26\uff0cskip_header<\/code>\u53c2\u6570\u7528\u4e8e\u8df3\u8fc7\u6587\u4ef6\u7684\u5934\u90e8\u884c\u3002<\/p>\n<\/p>\n
              \n
            1. \u5199\u5165CSV\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n
              \u867d\u7136numpy<\/code>\u6ca1\u6709\u4e13\u95e8\u7684\u51fd\u6570\u7528\u4e8e\u5199\u5165CSV\u6587\u4ef6\uff0c\u4f46\u53ef\u4ee5\u4f7f\u7528np.savetxt<\/code>\u51fd\u6570\u3002<\/p>\n<\/p>\n
              import numpy as np<\/p>\n
              data = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])<\/p>\n
              np.savetxt('output.csv', data, delimiter=',', header='Col1,Col2,Col3', comments='')<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528np.savetxt<\/code>\u5c06NumPy\u6570\u7ec4\u5199\u5165CSV\u6587\u4ef6\u3002delimiter<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u5206\u9694\u7b26\uff0cheader<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u6587\u4ef6\u5934\u90e8\uff0ccomments=''<\/code>\u7528\u4e8e\u907f\u514d\u5728\u5934\u90e8\u6dfb\u52a0\u6ce8\u91ca\u7b26\u3002<\/p>\n<\/p>\n
              \u56db\u3001\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5<\/p>\n<\/p>\n
                \n
              1. \u6570\u636e\u89c4\u6a21\u548c\u590d\u6742\u6027<\/strong><\/li>\n<\/ol>\n
                \u5bf9\u4e8e\u5c0f\u578b\u4e14\u7b80\u5355\u7684CSV\u6587\u4ef6\uff0cPython\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u5df2\u7ecf\u8db3\u591f\u3002\u5b83\u7b80\u5355\u6613\u7528\uff0c\u9002\u5408\u5feb\u901f\u5f00\u53d1\u548c\u5c0f\u89c4\u6a21\u6570\u636e\u5904\u7406\u3002<\/p>\n<\/p>\n
                \u5bf9\u4e8e\u5927\u578b\u6570\u636e\u96c6\u6216\u9700\u8981\u8fdb\u884c\u590d\u6742\u6570\u636e\u5206\u6790\u7684\u573a\u666f\uff0cpandas<\/code>\u5e93\u662f\u66f4\u597d\u7684\u9009\u62e9\u3002\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u529f\u80fd\uff0c\u53ef\u4ee5\u8f7b\u677e\u5904\u7406\u6570\u767e\u4e07\u884c\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
                  \n
                1. \u6570\u636e\u7c7b\u578b<\/strong><\/li>\n<\/ol>\n
                  \u5982\u679c\u6570\u636e\u4e3b\u8981\u662f\u6570\u503c\u6570\u636e\uff0c\u5e76\u4e14\u9700\u8981\u8fdb\u884c\u5927\u91cf\u7684\u6570\u503c\u8ba1\u7b97\uff0cnumpy<\/code>\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002\u5b83\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u7ec4\u8fd0\u7b97\u529f\u80fd\uff0c\u9002\u5408\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u3002<\/p>\n<\/p>\n
                    \n
                  1. \u6570\u636e\u5206\u6790\u9700\u6c42<\/strong><\/li>\n<\/ol>\n
                    \u5982\u679c\u9700\u8981\u8fdb\u884c\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u3001\u6570\u636e\u6e05\u6d17\u6216\u6570\u636e\u53ef\u89c6\u5316\uff0cpandas<\/code>\u5e93\u662f\u6700\u4f73\u9009\u62e9\u3002\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u5206\u6790\u529f\u80fd\uff0c\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u6570\u636e\u7684\u7b5b\u9009\u3001\u805a\u5408\u548c\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n
                      \n
                    1. \u96c6\u6210\u6027<\/strong><\/li>\n<\/ol>\n
                      pandas<\/code>\u548cnumpy<\/code>\u90fd\u4e0e\u8bb8\u591a\u5176\u4ed6Python\u6570\u636e\u79d1\u5b66\u5e93\uff08\u5982matplotlib<\/code>\u3001scikit-learn<\/code>\u7b49\uff09\u9ad8\u5ea6\u517c\u5bb9\uff0c\u9002\u5408\u4e8e\u6784\u5efa\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60<\/a>\u5de5\u4f5c\u6d41\u3002<\/p>\n<\/p>\n
                      \u603b\u7ed3\u6765\u8bf4\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u6570\u636e\u7684\u89c4\u6a21\u3001\u7c7b\u578b\u548c\u5177\u4f53\u7684\u5904\u7406\u9700\u6c42<\/strong>\u3002Python\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5de5\u5177\u6765\u5904\u7406CSV\u6570\u636e\uff0c\u4ece\u7b80\u5355\u7684\u6587\u4ef6\u8bfb\u5199\u5230\u590d\u6742\u7684\u6570\u636e\u5206\u6790\uff0c\u80fd\u591f\u6ee1\u8db3\u5404\u79cd\u4e0d\u540c\u7684\u9700\u6c42\u3002\u901a\u8fc7\u5408\u7406\u9009\u62e9\u548c\u7ec4\u5408\u8fd9\u4e9b\u5de5\u5177\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u5904\u7406\u548c\u5206\u6790CSV\u6570\u636e\u3002<\/p>\n<\/p>\n
                      \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                       \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6CSV\u6587\u4ef6\uff1f<\/strong>
                      \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u6216\u8005pandas<\/code>\u5e93\u6765\u8bfb\u53d6CSV\u6587\u4ef6\u3002\u4f7f\u7528csv<\/code>\u6a21\u5757\u7684\u65b9\u5f0f\u901a\u5e38\u5982\u4e0b\uff1a  <\/p>\n
                      import csv\n\nwith open('file.csv', mode='r') as file:\n    csv_reader = csv.reader(file)\n    for row in csv_reader:\n        print(row)\n<\/code><\/pre>\n
                      \u800c\u4f7f\u7528pandas<\/code>\u5e93\u5219\u66f4\u52a0\u7b80\u4fbf\uff1a  <\/p>\n
                      import pandas as pd\n\ndata = pd.read_csv('file.csv')\nprint(data)\n<\/code><\/pre>\n
                      \u9009\u62e9\u54ea\u79cd\u65b9\u5f0f\u53d6\u51b3\u4e8e\u6570\u636e\u5904\u7406\u7684\u590d\u6742\u7a0b\u5ea6\uff0cpandas<\/code>\u9002\u5408\u5904\u7406\u8f83\u5927\u548c\u590d\u6742\u7684\u6570\u636e\u3002<\/p>\n
                      \u5982\u4f55\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\uff1f<\/strong>
                      \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7csv<\/code>\u6a21\u5757\u6216\u8005pandas<\/code>\u5e93\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u3002\u4f7f\u7528csv<\/code>\u6a21\u5757\u7684\u65b9\u6cd5\u5982\u4e0b\uff1a  <\/p>\n
                      import csv\n\ndata = [['Name', 'Age'], ['Alice', 30], ['Bob', 25]]\nwith open('output.csv', mode='w', newline='') as file:\n    csv_writer = csv.writer(file)\n    csv_writer.writerows(data)\n<\/code><\/pre>\n
                      \u4f7f\u7528pandas<\/code>\u5e93\u5199\u5165\u6570\u636e\u5219\u975e\u5e38\u7b80\u5355\uff1a  <\/p>\n
                      import pandas as pd\n\ndata = {'Name': ['Alice', 'Bob'], 'Age': [30, 25]}\ndf = pd.DataFrame(data)\ndf.to_csv('output.csv', index=False)\n<\/code><\/pre>\n
                      \u8fd9\u4e24\u79cd\u65b9\u5f0f\u90fd\u80fd\u6709\u6548\u5730\u5c06\u6570\u636e\u5b58\u50a8\u4e3aCSV\u683c\u5f0f\u3002<\/p>\n
                      \u5728\u5904\u7406CSV\u6570\u636e\u65f6\uff0c\u6709\u54ea\u4e9b\u5e38\u89c1\u95ee\u9898\u9700\u8981\u6ce8\u610f\uff1f<\/strong>
                      \u5728\u5904\u7406CSV\u6570\u636e\u65f6\uff0c\u5e38\u89c1\u7684\u95ee\u9898\u5305\u62ec\uff1a  <\/p>\n
                        \n
                      • \u7f16\u7801\u95ee\u9898<\/strong>\uff1a\u786e\u4fddCSV\u6587\u4ef6\u7684\u7f16\u7801\u683c\u5f0f\u4e0e\u8bfb\u53d6\u65f6\u4e00\u81f4\uff0c\u5e38\u89c1\u7684\u7f16\u7801\u5305\u62ecUTF-8\u548cISO-8859-1\u3002<\/li>\n
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