{"id":947169,"date":"2024-12-26T23:49:11","date_gmt":"2024-12-26T15:49:11","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/947169.html"},"modified":"2024-12-26T23:49:12","modified_gmt":"2024-12-26T15:49:12","slug":"python%e5%a6%82%e4%bd%95%e5%af%bc%e5%85%a5csv","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/947169.html","title":{"rendered":"python\u5982\u4f55\u5bfc\u5165csv"},"content":{"rendered":"

\"python\u5982\u4f55\u5bfc\u5165csv\"<\/p>\n

\u5bfc\u5165CSV\u6587\u4ef6\u5230Python\u4e2d\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u3001csv\u6a21\u5757\u3001Numpy\u5e93\u7b49\u3002<\/strong>\u4f7f\u7528Pandas\u5e93\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u5904\u7406\uff1bcsv\u6a21\u5757\u662fPython\u5185\u7f6e\u7684\u6a21\u5757\uff0c\u9002\u7528\u4e8e\u7b80\u5355\u7684CSV\u6587\u4ef6\u8bfb\u5199\uff1b\u800cNumpy\u5e93\u5219\u9002\u5408\u5728\u9700\u8981\u5c06CSV\u6570\u636e\u8f6c\u6362\u4e3a\u6570\u7ec4\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u65f6\u4f7f\u7528\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u51e0\u79cd\u65b9\u6cd5\u5bfc\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528Pandas\u5e93<\/p>\n<\/p>\n

Pandas\u662fPython\u4e2d\u6700\u6d41\u884c\u7684\u6570\u636e\u5904\u7406\u5e93\u4e4b\u4e00\uff0c\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\u3002\u4f7f\u7528Pandas\u5bfc\u5165CSV\u6587\u4ef6\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u51e0\u884c\u4ee3\u7801\u5373\u53ef\u5b8c\u6210\u3002<\/p>\n<\/p>\n

    \n
  1. \u5b89\u88c5\u548c\u5bfc\u5165Pandas\u5e93<\/li>\n<\/ol>\n

    \u8981\u4f7f\u7528Pandas\u5e93\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5df2\u5b89\u88c5\u8be5\u5e93\u3002\u5982\u679c\u5c1a\u672a\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\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\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165Pandas\u5e93\uff1a<\/p>\n<\/p>\n
    import pandas as pd<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u4f7f\u7528read_csv\u51fd\u6570\u8bfb\u53d6CSV\u6587\u4ef6<\/li>\n<\/ol>\n
      Pandas\u63d0\u4f9b\u4e86read_csv<\/code>\u51fd\u6570\u6765\u8bfb\u53d6CSV\u6587\u4ef6\u3002\u4f7f\u7528\u8be5\u51fd\u6570\uff0c\u53ef\u4ee5\u8f7b\u677e\u5c06CSV\u6587\u4ef6\u52a0\u8f7d\u4e3aDataFrame\u5bf9\u8c61\uff0c\u8fd9\u662fPandas\u7684\u6838\u5fc3\u6570\u636e\u7ed3\u6784\u4e4b\u4e00\u3002<\/p>\n<\/p>\n
      df = pd.read_csv('your_file.csv')<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u8fd9\u91cc\uff0c'your_file.csv'<\/code>\u662fCSV\u6587\u4ef6\u7684\u8def\u5f84\u3002read_csv<\/code>\u51fd\u6570\u8fd8\u652f\u6301\u591a\u79cd\u53c2\u6570\u6765\u5b9a\u5236\u8bfb\u53d6\u884c\u4e3a\uff0c\u4f8b\u5982\u6307\u5b9a\u5206\u9694\u7b26\u3001\u5904\u7406\u7f3a\u5931\u503c\u3001\u9009\u62e9\u7279\u5b9a\u5217\u7b49\u3002<\/p>\n<\/p>\n
        \n
      1. \u67e5\u770b\u6570\u636e<\/li>\n<\/ol>\n
        \u5bfc\u5165\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528DataFrame\u7684\u65b9\u6cd5\u67e5\u770b\u6570\u636e\uff0c\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        print(df.head())  # \u67e5\u770b\u524d\u4e94\u884c\u6570\u636e<\/p>\n
        print(df.info())  # \u67e5\u770b\u6570\u636e\u6982\u51b5<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u4e8c\u3001\u4f7f\u7528csv\u6a21\u5757<\/p>\n<\/p>\n
        Python\u5185\u7f6e\u7684csv\u6a21\u5757\u9002\u5408\u7528\u4e8e\u7b80\u5355\u7684CSV\u6587\u4ef6\u8bfb\u5199\u64cd\u4f5c\u3002\u867d\u7136\u4e0d\u5982Pandas\u529f\u80fd\u5f3a\u5927\uff0c\u4f46\u5bf9\u4e8e\u4e00\u4e9b\u7b80\u5355\u7684\u4efb\u52a1\u5df2\u7ecf\u8db3\u591f\u3002<\/p>\n<\/p>\n
          \n
        1. \u5bfc\u5165csv\u6a21\u5757<\/li>\n<\/ol>\n
          \u65e0\u9700\u5b89\u88c5\uff0c\u76f4\u63a5\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165csv\u6a21\u5757\uff1a<\/p>\n<\/p>\n
          import csv<\/p>\n
          <\/code><\/pre>\n<\/p>\n
            \n
          1. \u8bfb\u53d6CSV\u6587\u4ef6<\/li>\n<\/ol>\n
            \u4f7f\u7528csv\u6a21\u5757\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u9700\u8981\u5148\u6253\u5f00\u6587\u4ef6\uff0c\u7136\u540e\u4f7f\u7528csv.reader\u8bfb\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n
            with open('your_file.csv', newline='') as csvfile:<\/p>\n
                csvreader = csv.reader(csvfile)<\/p>\n
                for row in csvreader:<\/p>\n
                    print(row)<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            csv.reader<\/code>\u8fd4\u56de\u4e00\u4e2a\u8fed\u4ee3\u5668\uff0c\u53ef\u4ee5\u9010\u884c\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
              \n
            1. \u5904\u7406CSV\u6570\u636e<\/li>\n<\/ol>\n
              \u8bfb\u53d6\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u5bf9\u6570\u636e\u8fdb\u884c\u5904\u7406\uff0c\u4f8b\u5982\u5b58\u50a8\u5230\u5217\u8868\u4e2d\uff1a<\/p>\n<\/p>\n
              data = []<\/p>\n
              with open('your_file.csv', newline='') as csvfile:<\/p>\n
                  csvreader = csv.reader(csvfile)<\/p>\n
                  for row in csvreader:<\/p>\n
                      data.append(row)<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u4e09\u3001\u4f7f\u7528Numpy\u5e93<\/p>\n<\/p>\n
              Numpy\u662fPython\u4e2d\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u5e93\uff0c\u53ef\u4ee5\u5c06CSV\u6570\u636e\u52a0\u8f7d\u4e3a\u6570\u7ec4\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
                \n
              1. \u5b89\u88c5\u548c\u5bfc\u5165Numpy\u5e93<\/li>\n<\/ol>\n
                \u5982\u679c\u5c1a\u672a\u5b89\u88c5Numpy\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
                pip install numpy<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                \u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165Numpy\u5e93\uff1a<\/p>\n<\/p>\n
                import numpy as np<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                  \n
                1. \u4f7f\u7528genfromtxt\u51fd\u6570\u8bfb\u53d6CSV\u6587\u4ef6<\/li>\n<\/ol>\n
                  Numpy\u63d0\u4f9b\u4e86genfromtxt<\/code>\u51fd\u6570\u6765\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5c06\u5176\u8f6c\u6362\u4e3a\u6570\u7ec4\u3002<\/p>\n<\/p>\n
                  data = np.genfromtxt('your_file.csv', delimiter=',')<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u5728\u8fd9\u91cc\uff0c'your_file.csv'<\/code>\u662fCSV\u6587\u4ef6\u7684\u8def\u5f84\uff0cdelimiter=','<\/code>\u6307\u5b9a\u4e86CSV\u6587\u4ef6\u7684\u5206\u9694\u7b26\u4e3a\u9017\u53f7\u3002<\/p>\n<\/p>\n
                    \n
                  1. \u67e5\u770b\u6570\u636e<\/li>\n<\/ol>\n
                    \u5bfc\u5165\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u6570\u7ec4\u7684\u65b9\u6cd5\u67e5\u770b\u6570\u636e\uff0c\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                    print(data.shape)  # \u67e5\u770b\u6570\u636e\u7684\u5f62\u72b6<\/p>\n
                    print(data)        # \u6253\u5370\u6570\u636e<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                    \u56db\u3001\u9009\u62e9\u5408\u9002\u7684\u5bfc\u5165\u65b9\u6cd5<\/p>\n<\/p>\n
                    \u5728\u9009\u62e9\u5bfc\u5165CSV\u6587\u4ef6\u7684\u65b9\u6cd5\u65f6\uff0c\u9700\u8981\u6839\u636e\u5177\u4f53\u9700\u6c42\u6765\u51b3\u5b9a\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u9009\u62e9\u5efa\u8bae\uff1a<\/p>\n<\/p>\n
                      \n
                    • \n
                      \u5982\u679c\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u590d\u6742\u5206\u6790\u548c\u5904\u7406\uff0c\u63a8\u8350\u4f7f\u7528Pandas\u5e93<\/strong>\u3002Pandas\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u548c\u7075\u6d3b\u6027\uff0c\u9002\u5408\u5904\u7406\u5404\u79cd\u590d\u6742\u7684\u6570\u636e\u4efb\u52a1\u3002<\/p>\n<\/p>\n<\/li>\n
                    • \n
                      \u5982\u679c\u53ea\u662f\u7b80\u5355\u5730\u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528csv\u6a21\u5757<\/strong>\u3002\u5b83\u662fPython\u5185\u7f6e\u6a21\u5757\uff0c\u65e0\u9700\u989d\u5916\u5b89\u88c5\uff0c\u9002\u5408\u7b80\u5355\u4efb\u52a1\u3002<\/p>\n<\/p>\n<\/li>\n
                    • \n
                      \u5982\u679c\u9700\u8981\u5c06CSV\u6570\u636e\u8f6c\u6362\u4e3a\u6570\u7ec4\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\uff0c\u53ef\u4ee5\u4f7f\u7528Numpy\u5e93<\/strong>\u3002Numpy\u64c5\u957f\u5904\u7406\u6570\u503c\u6570\u636e\u548c\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n
                      \u4e94\u3001\u5904\u7406CSV\u6587\u4ef6\u4e2d\u7684\u7279\u6b8a\u60c5\u51b5<\/p>\n<\/p>\n
                      \u5728\u5b9e\u9645\u64cd\u4f5c\u4e2d\uff0cCSV\u6587\u4ef6\u53ef\u80fd\u5305\u542b\u4e00\u4e9b\u7279\u6b8a\u60c5\u51b5\uff0c\u4f8b\u5982\u7f3a\u5931\u503c\u3001\u4e0d\u540c\u7684\u5206\u9694\u7b26\u3001\u7f16\u7801\u95ee\u9898\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u5904\u7406\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
                        \n
                      1. \u5904\u7406\u7f3a\u5931\u503c<\/strong><\/li>\n<\/ol>\n
                        \u5728Pandas\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528na_values<\/code>\u53c2\u6570\u6307\u5b9a\u54ea\u4e9b\u503c\u8868\u793a\u7f3a\u5931\u503c\uff1a<\/p>\n<\/p>\n
                        df = pd.read_csv('your_file.csv', na_values=['NA', 'NaN', ''])<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                        \u8bfb\u53d6\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528fillna<\/code>\u6216dropna<\/code>\u65b9\u6cd5\u5904\u7406\u7f3a\u5931\u503c\uff1a<\/p>\n<\/p>\n
                        df.fillna(0, inplace=True)  # \u75280\u586b\u5145\u7f3a\u5931\u503c<\/p>\n
                        df.dropna(inplace=True)     # \u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                          \n
                        1. \u5904\u7406\u4e0d\u540c\u7684\u5206\u9694\u7b26<\/strong><\/li>\n<\/ol>\n
                          \u5bf9\u4e8e\u4f7f\u7528\u5176\u4ed6\u5206\u9694\u7b26\u7684CSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u5728\u8bfb\u53d6\u65f6\u6307\u5b9a\u5206\u9694\u7b26\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u5206\u53f7\u5206\u9694\u7684CSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
                          df = pd.read_csv('your_file.csv', sep=';')<\/p>\n
                          <\/code><\/pre>\n<\/p>\n
                            \n
                          1. \u5904\u7406\u7f16\u7801\u95ee\u9898<\/strong><\/li>\n<\/ol>\n
                            \u6709\u4e9bCSV\u6587\u4ef6\u53ef\u80fd\u4f7f\u7528\u4e0d\u540c\u7684\u7f16\u7801\u683c\u5f0f\uff0c\u5728\u8bfb\u53d6\u65f6\u53ef\u4ee5\u6307\u5b9a\u7f16\u7801\uff1a<\/p>\n<\/p>\n
                            df = pd.read_csv('your_file.csv', encoding='utf-8')<\/p>\n
                            <\/code><\/pre>\n<\/p>\n
                              \n
                            1. \u9009\u62e9\u7279\u5b9a\u5217<\/strong><\/li>\n<\/ol>\n
                              \u5982\u679c\u53ea\u9700\u8981\u8bfb\u53d6CSV\u6587\u4ef6\u4e2d\u7684\u7279\u5b9a\u5217\uff0c\u53ef\u4ee5\u4f7f\u7528usecols<\/code>\u53c2\u6570\uff1a<\/p>\n<\/p>\n
                              df = pd.read_csv('your_file.csv', usecols=['column1', 'column2'])<\/p>\n
                              <\/code><\/pre>\n<\/p>\n
                              \u516d\u3001\u603b\u7ed3<\/p>\n<\/p>\n
                              \u5728Python\u4e2d\u5bfc\u5165CSV\u6587\u4ef6\u7684\u65b9\u6cd5\u591a\u79cd\u591a\u6837\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002Pandas\u5e93\u662f\u529f\u80fd\u6700\u5f3a\u5927\u7684\u9009\u62e9\uff0c\u9002\u5408\u8fdb\u884c\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\uff1bcsv\u6a21\u5757\u9002\u5408\u7b80\u5355\u7684\u8bfb\u5199\u64cd\u4f5c\uff1bNumpy\u5e93\u5219\u9002\u5408\u5c06\u6570\u636e\u8f6c\u6362\u4e3a\u6570\u7ec4\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u3002\u5728\u5904\u7406CSV\u6587\u4ef6\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u4e00\u4e9b\u7279\u6b8a\u60c5\u51b5\uff0c\u4f8b\u5982\u7f3a\u5931\u503c\u3001\u4e0d\u540c\u7684\u5206\u9694\u7b26\u548c\u7f16\u7801\u95ee\u9898\u7b49\uff0c\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u76f8\u5e94\u7684\u53c2\u6570\u6765\u5904\u7406\u8fd9\u4e9b\u95ee\u9898\u3002\u901a\u8fc7\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u548c\u6280\u5de7\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u5bfc\u5165\u548c\u5904\u7406CSV\u6587\u4ef6\u4e2d\u7684\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\u8bfb\u53d6CSV\u6587\u4ef6\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u6216pandas<\/code>\u5e93\u3002\u4f7f\u7528csv<\/code>\u6a21\u5757\u65f6\uff0c\u9996\u5148\u9700\u8981\u5bfc\u5165\u8be5\u6a21\u5757\uff0c\u7136\u540e\u4f7f\u7528csv.reader()<\/code>\u6216csv.DictReader()<\/code>\u51fd\u6570\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9\u3002\u5982\u679c\u9009\u62e9\u4f7f\u7528pandas<\/code>\uff0c\u53ea\u9700\u8c03\u7528pandas.read_csv()<\/code>\u51fd\u6570\uff0c\u5e76\u4f20\u5165\u6587\u4ef6\u8def\u5f84\uff0c\u5b83\u4f1a\u81ea\u52a8\u5904\u7406\u6587\u4ef6\u683c\u5f0f\u5e76\u5c06\u6570\u636e\u8f7d\u5165\u4e3aDataFrame\uff0c\u4fbf\u4e8e\u540e\u7eed\u6570\u636e\u64cd\u4f5c\u548c\u5206\u6790\u3002<\/p>\n
                              \u5728\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u65f6\uff0c\u5982\u4f55\u5904\u7406\u7f3a\u5931\u503c\uff1f<\/strong>
                              pandas<\/code>\u63d0\u4f9b\u4e86\u591a\u79cd\u5904\u7406\u7f3a\u5931\u503c\u7684\u9009\u9879\uff0c\u4f8b\u5982\u4f7f\u7528dropna()<\/code>\u65b9\u6cd5\u5220\u9664\u542b\u6709\u7f3a\u5931\u503c\u7684\u884c\u6216\u5217\uff0c\u6216\u8005\u4f7f\u7528fillna()<\/code>\u65b9\u6cd5\u586b\u5145\u7f3a\u5931\u503c\u3002\u4f60\u53ef\u4ee5\u9009\u62e9\u7528\u5747\u503c\u3001\u4e2d\u4f4d\u6570\u6216\u7279\u5b9a\u503c\u6765\u586b\u5145\u7f3a\u5931\u7684\u6570\u636e\uff0c\u8fd9\u6837\u53ef\u4ee5\u4fdd\u8bc1\u6570\u636e\u7684\u5b8c\u6574\u6027\u548c\u5206\u6790\u7684\u51c6\u786e\u6027\u3002<\/p>\n
                              Python\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\uff0c\u5982\u4f55\u5904\u7406\u7f16\u7801\u95ee\u9898\uff1f<\/strong>
                              \u5728\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\uff0c\u7f16\u7801\u95ee\u9898\u53ef\u80fd\u4f1a\u5bfc\u81f4\u8bfb\u53d6\u5931\u8d25\u6216\u6570\u636e\u663e\u793a\u4e0d\u6b63\u786e\u3002\u53ef\u4ee5\u901a\u8fc7\u5728pandas.read_csv()<\/code>\u6216open()<\/code>\u51fd\u6570\u4e2d\u6307\u5b9aencoding<\/code>\u53c2\u6570\u6765\u89e3\u51b3\u6b64\u95ee\u9898\u3002\u5e38\u7528\u7684\u7f16\u7801\u5305\u62ecutf-8<\/code>\u548clatin1<\/code>\u3002\u4e86\u89e3\u6587\u4ef6\u7684\u5b9e\u9645\u7f16\u7801\u683c\u5f0f\uff0c\u6709\u52a9\u4e8e\u786e\u4fdd\u6570\u636e\u6b63\u786e\u8bfb\u53d6\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5bfc\u5165CSV\u6587\u4ef6\u5230Python\u4e2d\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u3001csv\u6a21\u5757\u3001Numpy\u5e93 […]","protected":false},"author":3,"featured_media":947172,"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\/947169"}],"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=947169"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/947169\/revisions"}],"predecessor-version":[{"id":947174,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/947169\/revisions\/947174"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/947172"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=947169"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=947169"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=947169"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}