{"id":968586,"date":"2024-12-27T05:08:27","date_gmt":"2024-12-26T21:08:27","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/968586.html"},"modified":"2024-12-27T05:08:29","modified_gmt":"2024-12-26T21:08:29","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e8%af%bb%e5%8f%96%e6%95%b0%e6%8d%ae","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/968586.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u8bfb\u53d6\u6570\u636e"},"content":{"rendered":"

\"python\u4e2d\u5982\u4f55\u8bfb\u53d6\u6570\u636e\"<\/p>\n

\u5728Python\u4e2d\u8bfb\u53d6\u6570\u636e\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684open\u51fd\u6570\u3001pandas\u5e93\u3001numpy\u5e93\u7b49\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u52bf\uff0c\u4f8b\u5982\uff1aopen\u51fd\u6570\u7528\u4e8e\u8bfb\u53d6\u7eaf\u6587\u672c\u6587\u4ef6\u3001pandas\u5e93\u9002\u5408\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\u5982CSV\u6587\u4ef6\u3001numpy\u5e93\u5219\u9002\u5408\u8bfb\u53d6\u6570\u503c\u6570\u636e\u3002<\/strong>\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63a2\u8ba8\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u8bfb\u53d6\u6570\u636e\uff0c\u5e76\u5bf9pandas\u5e93\u7684\u4f7f\u7528\u505a\u6df1\u5165\u63a2\u8ba8\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528OPEN\u51fd\u6570\u8bfb\u53d6\u6587\u672c\u6587\u4ef6<\/p>\n<\/p>\n

Python\u7684\u5185\u7f6e\u51fd\u6570open\u662f\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u7684\u57fa\u7840\u65b9\u6cd5\u3002\u901a\u8fc7open\u51fd\u6570\uff0c\u53ef\u4ee5\u8f7b\u677e\u6253\u5f00\u3001\u8bfb\u53d6\u548c\u5173\u95ed\u6587\u4ef6\u3002<\/p>\n<\/p>\n

    \n
  1. \u6253\u5f00\u6587\u4ef6<\/li>\n<\/ol>\n

    \u4f7f\u7528open\u51fd\u6570\u6253\u5f00\u6587\u4ef6\u65f6\uff0c\u9700\u8981\u6307\u5b9a\u6587\u4ef6\u8def\u5f84\u548c\u6a21\u5f0f\uff08\u5982'r'\u8868\u793a\u8bfb\u53d6\u6a21\u5f0f\uff09\u3002<\/p>\n<\/p>\n

    file = open('example.txt', 'r')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u8bfb\u53d6\u5185\u5bb9<\/li>\n<\/ol>\n
      \u53ef\u4ee5\u4f7f\u7528read\u3001readline\u6216readlines\u65b9\u6cd5\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9\u3002<\/p>\n<\/p>\n
        \n
      • read<\/strong>\uff1a\u8bfb\u53d6\u6574\u4e2a\u6587\u4ef6\u7684\u5185\u5bb9\u3002<\/li>\n<\/ul>\n
        content = file.read()<\/p>\n
        print(content)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
          \n
        • readline<\/strong>\uff1a\u9010\u884c\u8bfb\u53d6\u6587\u4ef6\uff0c\u6bcf\u6b21\u8c03\u7528\u8bfb\u53d6\u4e00\u884c\u3002<\/li>\n<\/ul>\n
          line = file.readline()<\/p>\n
          while line:<\/p>\n
              print(line, end='')<\/p>\n
              line = file.readline()<\/p>\n
          <\/code><\/pre>\n<\/p>\n
            \n
          • readlines<\/strong>\uff1a\u5c06\u6587\u4ef6\u7684\u6bcf\u4e00\u884c\u4f5c\u4e3a\u4e00\u4e2a\u5143\u7d20\u5b58\u5165\u5217\u8868\u3002<\/li>\n<\/ul>\n
            lines = file.readlines()<\/p>\n
            for line in lines:<\/p>\n
                print(line, end='')<\/p>\n
            <\/code><\/pre>\n<\/p>\n
              \n
            1. \u5173\u95ed\u6587\u4ef6<\/li>\n<\/ol>\n
              \u5b8c\u6210\u8bfb\u53d6\u540e\uff0c\u8bb0\u5f97\u5173\u95ed\u6587\u4ef6\u4ee5\u91ca\u653e\u8d44\u6e90\u3002<\/p>\n<\/p>\n
              file.close()<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u4e8c\u3001\u4f7f\u7528PANDAS\u8bfb\u53d6CSV\u6587\u4ef6<\/p>\n<\/p>\n
              Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u7279\u522b\u9002\u5408\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\uff0c\u5982CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
                \n
              1. \u5bfc\u5165pandas\u5e93<\/li>\n<\/ol>\n
                import pandas as pd<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                  \n
                1. \u8bfb\u53d6CSV\u6587\u4ef6<\/li>\n<\/ol>\n
                  \u4f7f\u7528pandas\u7684read_csv\u51fd\u6570\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u8fd4\u56de\u4e00\u4e2aDataFrame\u5bf9\u8c61\u3002<\/p>\n<\/p>\n
                  df = pd.read_csv('example.csv')<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                    \n
                  1. \u67e5\u770b\u6570\u636e<\/li>\n<\/ol>\n
                    \u8bfb\u53d6\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528head\u65b9\u6cd5\u67e5\u770b\u524d\u51e0\u884c\u6570\u636e\u3002<\/p>\n<\/p>\n
                    print(df.head())<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                      \n
                    1. \u5904\u7406\u6570\u636e<\/li>\n<\/ol>\n
                      Pandas\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u65b9\u6cd5\u6765\u5904\u7406\u548c\u5206\u6790\u6570\u636e\uff0c\u5982\u8fc7\u6ee4\u3001\u6392\u5e8f\u3001\u805a\u5408\u7b49\u3002<\/p>\n<\/p>\n
                        \n
                      • \u8fc7\u6ee4\u6570\u636e<\/strong><\/li>\n<\/ul>\n
                        filtered_data = df[df['column_name'] > value]<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                          \n
                        • \u6392\u5e8f\u6570\u636e<\/strong><\/li>\n<\/ul>\n
                          sorted_data = df.sort_values(by='column_name')<\/p>\n
                          <\/code><\/pre>\n<\/p>\n
                            \n
                          • \u6570\u636e\u805a\u5408<\/strong><\/li>\n<\/ul>\n
                            aggregated_data = df.groupby('column_name').sum()<\/p>\n
                            <\/code><\/pre>\n<\/p>\n
                            \u4e09\u3001\u4f7f\u7528NUMPY\u8bfb\u53d6\u6570\u503c\u6570\u636e<\/p>\n<\/p>\n
                            Numpy\u662f\u4e00\u4e2a\u4e13\u4e3a\u6570\u503c\u8ba1\u7b97\u8bbe\u8ba1\u7684\u5e93\uff0c\u5e38\u7528\u4e8e\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u3002<\/p>\n<\/p>\n
                              \n
                            1. \u5bfc\u5165numpy\u5e93<\/li>\n<\/ol>\n
                              import numpy as np<\/p>\n
                              <\/code><\/pre>\n<\/p>\n
                                \n
                              1. \u8bfb\u53d6\u6570\u636e<\/li>\n<\/ol>\n
                                numpy\u63d0\u4f9b\u4e86\u591a\u79cd\u8bfb\u53d6\u6570\u636e\u7684\u51fd\u6570\uff0c\u5982loadtxt\u548cgenfromtxt\u3002<\/p>\n<\/p>\n
                                  \n
                                • loadtxt<\/strong>\uff1a\u9002\u5408\u8bfb\u53d6\u7b80\u5355\u7684\u6570\u503c\u6570\u636e\u3002<\/li>\n<\/ul>\n
                                  data = np.loadtxt('data.txt')<\/p>\n
                                  <\/code><\/pre>\n<\/p>\n
                                    \n
                                  • genfromtxt<\/strong>\uff1a\u9002\u5408\u5904\u7406\u590d\u6742\u6570\u636e\uff0c\u5305\u62ec\u7f3a\u5931\u503c\u3002<\/li>\n<\/ul>\n
                                    data = np.genfromtxt('data.txt', delimiter=',', skip_header=1)<\/p>\n
                                    <\/code><\/pre>\n<\/p>\n
                                      \n
                                    1. \u5904\u7406\u6570\u636e<\/li>\n<\/ol>\n
                                      \u8bfb\u53d6\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528numpy\u7684\u591a\u79cd\u65b9\u6cd5\u8fdb\u884c\u6570\u636e\u5904\u7406\uff0c\u5982\u6c42\u548c\u3001\u5e73\u5747\u3001\u6807\u51c6\u5dee\u7b49\u3002<\/p>\n<\/p>\n
                                      sum_data = np.sum(data)<\/p>\n
                                      mean_data = np.mean(data)<\/p>\n
                                      std_data = np.std(data)<\/p>\n
                                      <\/code><\/pre>\n<\/p>\n
                                      \u56db\u3001\u4f7f\u7528JSON\u6a21\u5757\u8bfb\u53d6JSON\u6587\u4ef6<\/p>\n<\/p>\n
                                      JSON\uff08JavaScript Object Notation\uff09\u662f\u4e00\u79cd\u8f7b\u91cf\u7ea7\u7684\u6570\u636e\u4ea4\u6362\u683c\u5f0f\uff0cPython\u63d0\u4f9b\u4e86json\u6a21\u5757\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165JSON\u6587\u4ef6\u3002<\/p>\n<\/p>\n
                                        \n
                                      1. \u5bfc\u5165json\u6a21\u5757<\/li>\n<\/ol>\n
                                        import json<\/p>\n
                                        <\/code><\/pre>\n<\/p>\n
                                          \n
                                        1. \u8bfb\u53d6JSON\u6587\u4ef6<\/li>\n<\/ol>\n
                                          \u4f7f\u7528open\u51fd\u6570\u6253\u5f00\u6587\u4ef6\uff0c\u5e76\u7528json.load\u8bfb\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n
                                          with open('data.json', 'r') as file:<\/p>\n
                                              data = json.load(file)<\/p>\n
                                          <\/code><\/pre>\n<\/p>\n
                                            \n
                                          1. \u5904\u7406\u6570\u636e<\/li>\n<\/ol>\n
                                            \u8bfb\u53d6\u7684JSON\u6570\u636e\u901a\u5e38\u662f\u5b57\u5178\u6216\u5217\u8868\uff0c\u53ef\u4ee5\u76f4\u63a5\u8bbf\u95ee\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n
                                            print(data['key'])<\/p>\n
                                            <\/code><\/pre>\n<\/p>\n
                                            \u4e94\u3001\u4f7f\u7528SQLALCHEMY\u8bfb\u53d6\u6570\u636e\u5e93<\/p>\n<\/p>\n
                                            SQLAlchemy\u662fPython\u7684ORM\uff08\u5bf9\u8c61\u5173\u7cfb\u6620\u5c04\uff09\u5de5\u5177\uff0c\u652f\u6301\u591a\u79cd\u6570\u636e\u5e93\u7684\u8fde\u63a5\u548c\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
                                              \n
                                            1. \u5b89\u88c5SQLAlchemy<\/li>\n<\/ol>\n
                                              \u4f7f\u7528pip\u547d\u4ee4\u5b89\u88c5SQLAlchemy\u5e93\u3002<\/p>\n<\/p>\n
                                              pip install sqlalchemy<\/p>\n
                                              <\/code><\/pre>\n<\/p>\n
                                                \n
                                              1. \u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5<\/li>\n<\/ol>\n
                                                \u4f7f\u7528create_engine\u51fd\u6570\u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5\u3002<\/p>\n<\/p>\n
                                                from sqlalchemy import create_engine<\/p>\n
                                                engine = create_engine('sqlite:\/\/\/example.db')<\/p>\n
                                                <\/code><\/pre>\n<\/p>\n
                                                  \n
                                                1. \u8bfb\u53d6\u6570\u636e<\/li>\n<\/ol>\n
                                                  \u4f7f\u7528pandas\u7684read_sql\u51fd\u6570\u8bfb\u53d6\u6570\u636e\u5e93\u4e2d\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
                                                  df = pd.read_sql('SELECT * FROM table_name', engine)<\/p>\n
                                                  <\/code><\/pre>\n<\/p>\n
                                                  \u516d\u3001\u4f7f\u7528HDF5\u5e93\u8bfb\u53d6\u5927\u89c4\u6a21\u6570\u636e<\/p>\n<\/p>\n
                                                  HDF5\u662f\u4e00\u79cd\u7528\u4e8e\u5b58\u50a8\u548c\u7ba1\u7406\u5927\u89c4\u6a21\u6570\u636e\u7684\u6587\u4ef6\u683c\u5f0f\uff0cPython\u63d0\u4f9b\u4e86h5py\u5e93\u7528\u4e8e\u8bfb\u53d6HDF5\u6587\u4ef6\u3002<\/p>\n<\/p>\n
                                                    \n
                                                  1. \u5b89\u88c5h5py\u5e93<\/li>\n<\/ol>\n
                                                    pip install h5py<\/p>\n
                                                    <\/code><\/pre>\n<\/p>\n
                                                      \n
                                                    1. \u8bfb\u53d6HDF5\u6587\u4ef6<\/li>\n<\/ol>\n
                                                      \u4f7f\u7528h5py\u5e93\u7684File\u5bf9\u8c61\u8bfb\u53d6HDF5\u6587\u4ef6\u3002<\/p>\n<\/p>\n
                                                      import h5py<\/p>\n
                                                      with h5py.File('data.h5', 'r') as file:<\/p>\n
                                                          dataset = file['dataset_name']<\/p>\n
                                                          data = dataset[:]<\/p>\n
                                                      <\/code><\/pre>\n<\/p>\n
                                                        \n
                                                      1. \u5904\u7406\u6570\u636e<\/li>\n<\/ol>\n
                                                        \u8bfb\u53d6\u7684\u6570\u636e\u901a\u5e38\u662fnumpy\u6570\u7ec4\uff0c\u53ef\u4ee5\u76f4\u63a5\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
                                                        sum_data = np.sum(data)<\/p>\n
                                                        <\/code><\/pre>\n<\/p>\n
                                                        \u4e03\u3001\u4f7f\u7528APIs\u83b7\u53d6\u5728\u7ebf\u6570\u636e<\/p>\n<\/p>\n
                                                        \u8bb8\u591a\u5728\u7ebf\u670d\u52a1\u63d0\u4f9bRESTful API\u63a5\u53e3\uff0cPython\u7684requests\u5e93\u53ef\u4ee5\u7528\u4e8e\u83b7\u53d6\u8fd9\u4e9b\u6570\u636e\u3002<\/p>\n<\/p>\n
                                                          \n
                                                        1. \u5b89\u88c5requests\u5e93<\/li>\n<\/ol>\n
                                                          pip install requests<\/p>\n
                                                          <\/code><\/pre>\n<\/p>\n
                                                            \n
                                                          1. \u53d1\u9001HTTP\u8bf7\u6c42<\/li>\n<\/ol>\n
                                                            \u4f7f\u7528requests\u5e93\u7684get\u51fd\u6570\u53d1\u9001HTTP\u8bf7\u6c42\u3002<\/p>\n<\/p>\n
                                                            import requests<\/p>\n
                                                            response = requests.get('https:\/\/api.example.com\/data')<\/p>\n
                                                            data = response.json()<\/p>\n
                                                            <\/code><\/pre>\n<\/p>\n
                                                              \n
                                                            1. \u5904\u7406\u6570\u636e<\/li>\n<\/ol>\n
                                                              \u83b7\u53d6\u7684\u6570\u636e\u901a\u5e38\u662fJSON\u683c\u5f0f\uff0c\u53ef\u4ee5\u76f4\u63a5\u8bbf\u95ee\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n
                                                              print(data['key'])<\/p>\n
                                                              <\/code><\/pre>\n<\/p>\n
                                                              \u603b\u7ed3<\/strong><\/p>\n<\/p>\n
                                                              Python\u63d0\u4f9b\u4e86\u591a\u79cd\u8bfb\u53d6\u6570\u636e\u7684\u65b9\u6cd5\uff0c\u9002\u7528\u4e8e\u4e0d\u540c\u7c7b\u578b\u548c\u683c\u5f0f\u7684\u6570\u636e\u3002\u5bf9\u4e8e\u6587\u672c\u6587\u4ef6\uff0c\u4f7f\u7528\u5185\u7f6e\u7684open\u51fd\u6570\u5373\u53ef\uff1b\u5bf9\u4e8e\u7ed3\u6784\u5316\u6570\u636e\u5982CSV\uff0cpandas\u662f\u6700\u4f73\u9009\u62e9\uff1b\u800c\u5bf9\u4e8e\u6570\u503c\u6570\u636e\uff0cnumpy\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u652f\u6301\u3002\u6b64\u5916\uff0cPython\u8fd8\u652f\u6301\u8bfb\u53d6JSON\u3001\u6570\u636e\u5e93\u3001HDF5\u6587\u4ef6\u4ee5\u53ca\u901a\u8fc7API\u83b7\u53d6\u5728\u7ebf\u6570\u636e\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u548c\u7075\u6d3b\u6027\u3002<\/p>\n<\/p>\n
                                                              \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                                                               \u5728Python\u4e2d\u6709\u54ea\u4e9b\u5e38\u89c1\u7684\u6570\u636e\u8bfb\u53d6\u65b9\u5f0f\uff1f<\/strong>
                                                              Python\u63d0\u4f9b\u4e86\u591a\u79cd\u8bfb\u53d6\u6570\u636e\u7684\u65b9\u5f0f\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684open()<\/code>\u51fd\u6570\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\uff0c\u5229\u7528pandas<\/code>\u5e93\u8bfb\u53d6CSV\u548cExcel\u6587\u4ef6\uff0c\u4ee5\u53ca\u4f7f\u7528json<\/code>\u5e93\u8bfb\u53d6JSON\u683c\u5f0f\u7684\u6570\u636e\u3002\u6b64\u5916\uff0c\u6570\u636e\u5e93\u8fde\u63a5\u5e93\u5982sqlite3<\/code>\u548cSQLAlchemy<\/code>\u4e5f\u53ef\u4ee5\u7528\u4e8e\u4ece\u6570\u636e\u5e93\u4e2d\u8bfb\u53d6\u6570\u636e\u3002\u6839\u636e\u6570\u636e\u7684\u683c\u5f0f\u548c\u5b58\u50a8\u65b9\u5f0f\uff0c\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u548c\u5e93\u5c06\u5927\u5927\u7b80\u5316\u6570\u636e\u8bfb\u53d6\u7684\u8fc7\u7a0b\u3002<\/p>\n
                                                              \u5982\u4f55\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6\uff1f<\/strong>
                                                              \u4f7f\u7528Pandas\u5e93\u8bfb\u53d6CSV\u6587\u4ef6\u975e\u5e38\u7b80\u5355\u3002\u53ea\u9700\u5b89\u88c5Pandas\u5e93\uff0c\u7136\u540e\u4f7f\u7528pd.read_csv('\u6587\u4ef6\u8def\u5f84')<\/code>\u51fd\u6570\uff0c\u5373\u53ef\u5c06CSV\u6587\u4ef6\u8bfb\u5165\u4e3aDataFrame\u5bf9\u8c61\u3002DataFrame\u662fPandas\u4e2d\u7528\u4e8e\u5b58\u50a8\u8868\u683c\u6570\u636e\u7684\u4e3b\u8981\u7ed3\u6784\uff0c\u5b83\u5141\u8bb8\u7528\u6237\u8f7b\u677e\u5730\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002\u901a\u8fc7\u6307\u5b9a\u53c2\u6570\uff0c\u7528\u6237\u8fd8\u53ef\u4ee5\u63a7\u5236\u5206\u9694\u7b26\u3001\u662f\u5426\u5305\u542b\u6807\u9898\u884c\u7b49\u8bbe\u7f6e\uff0c\u4ee5\u6ee1\u8db3\u7279\u5b9a\u7684\u6570\u636e\u9700\u6c42\u3002<\/p>\n
                                                              \u5728\u8bfb\u53d6\u6570\u636e\u65f6\uff0c\u5982\u4f55\u5904\u7406\u7f3a\u5931\u503c\uff1f<\/strong>
                                                              \u5728\u6570\u636e\u8bfb\u53d6\u8fc7\u7a0b\u4e2d\uff0c\u7f3a\u5931\u503c\u662f\u4e00\u4e2a\u5e38\u89c1\u7684\u95ee\u9898\u3002\u4f7f\u7528Pandas\u8bfb\u53d6\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7na_values<\/code>\u53c2\u6570\u6307\u5b9a\u54ea\u4e9b\u503c\u89c6\u4e3a\u7f3a\u5931\u3002\u6b64\u5916\uff0cPandas\u63d0\u4f9b\u4e86dropna()<\/code>\u548cfillna()<\/code>\u7b49\u51fd\u6570\uff0c\u5206\u522b\u7528\u4e8e\u5220\u9664\u7f3a\u5931\u503c\u548c\u586b\u5145\u7f3a\u5931\u503c\u3002\u7528\u6237\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u7f3a\u5931\u503c\u5904\u7406\u65b9\u6cd5\uff0c\u4ee5\u786e\u4fdd\u6570\u636e\u7684\u5b8c\u6574\u6027\u548c\u51c6\u786e\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u8bfb\u53d6\u6570\u636e\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684open\u51fd\u6570\u3001pandas\u5e93\u3001numpy\u5e93\u7b49\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709 […]","protected":false},"author":3,"featured_media":968593,"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\/968586"}],"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=968586"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/968586\/revisions"}],"predecessor-version":[{"id":968595,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/968586\/revisions\/968595"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/968593"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=968586"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=968586"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=968586"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}