{"id":1017510,"date":"2024-12-27T12:29:56","date_gmt":"2024-12-27T04:29:56","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1017510.html"},"modified":"2024-12-27T12:30:20","modified_gmt":"2024-12-27T04:30:20","slug":"python%e6%95%b0%e6%8d%ae%e5%a6%82%e4%bd%95%e6%9c%89%e5%ba%8f%e4%bf%9d%e5%ad%98","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1017510.html","title":{"rendered":"python\u6570\u636e\u5982\u4f55\u6709\u5e8f\u4fdd\u5b58"},"content":{"rendered":"

\"python\u6570\u636e\u5982\u4f55\u6709\u5e8f\u4fdd\u5b58\"<\/p>\n

\u5728Python\u4e2d\uff0c\u6570\u636e\u7684\u6709\u5e8f\u4fdd\u5b58\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u5177\u4f53\u65b9\u6cd5\u53d6\u51b3\u4e8e\u6570\u636e\u7684\u7c7b\u578b\u548c\u5e94\u7528\u573a\u666f\u3002\u4f7f\u7528\u5217\u8868\u3001\u5b57\u5178\u4e0e\u6709\u5e8f\u5b57\u5178\u3001pandas\u6570\u636e\u6846\u3001JSON\u6587\u4ef6\u3001CSV\u6587\u4ef6\u3001SQLite\u6570\u636e\u5e93\u7b49\u65b9\u5f0f\u53ef\u4ee5\u6709\u5e8f\u4fdd\u5b58\u6570\u636e<\/strong>\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5229\u7528\u5176\u4e2d\u4e00\u79cd\u65b9\u5f0f\uff0c\u5373pandas\u6570\u636e\u6846<\/strong>\uff0c\u6765\u6709\u5e8f\u4fdd\u5b58\u6570\u636e\u3002<\/p>\n<\/p>\n

\u4f7f\u7528pandas\u6570\u636e\u6846\u4fdd\u5b58\u6570\u636e\u662f\u4e00\u79cd\u975e\u5e38\u5e38\u89c1\u4e14\u5f3a\u5927\u7684\u65b9\u6cd5\uff0c\u7279\u522b\u662f\u5728\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u9886\u57df\u3002Pandas\u63d0\u4f9b\u4e86\u6613\u4e8e\u4f7f\u7528\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\u3002\u53ef\u4ee5\u5c06\u6570\u636e\u5b58\u50a8\u5728DataFrame\u4e2d\uff0c\u5e76\u5229\u7528\u5176\u5f3a\u5927\u7684\u529f\u80fd\u8fdb\u884c\u6392\u5e8f\u3001\u8fc7\u6ee4\u548c\u5206\u7ec4\u3002DataFrame\u53ef\u4ee5\u8f7b\u677e\u5bfc\u5165\u548c\u5bfc\u51fa\u5230\u591a\u79cd\u683c\u5f0f\uff0c\u5982CSV\u3001Excel\u3001SQL\u6570\u636e\u5e93\u7b49\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u4f7f\u7528pandas\u6570\u636e\u6846\u6765\u6709\u5e8f\u4fdd\u5b58\u6570\u636e\u7684\u8be6\u7ec6\u4ecb\u7ecd\uff1a<\/p>\n<\/p>\n

\n

\u4e00\u3001\u5217\u8868\u4e0e\u5b57\u5178<\/p>\n<\/p>\n

\u5728Python\u4e2d\uff0c\u5217\u8868\u662f\u4e00\u79cd\u6709\u5e8f\u7684\u6570\u636e\u7ed3\u6784\uff0c\u975e\u5e38\u9002\u5408\u5b58\u50a8\u4e00\u7cfb\u5217\u76f8\u5173\u7684\u6570\u636e\u3002\u5217\u8868\u4e2d\u7684\u6570\u636e\u53ef\u4ee5\u6309\u7167\u6dfb\u52a0\u987a\u5e8f\u8fdb\u884c\u4fdd\u5b58\uff0c\u5e76\u4e14\u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u6765\u8bbf\u95ee\u7279\u5b9a\u7684\u5143\u7d20\u3002\u4f7f\u7528\u5217\u8868\u65f6\uff0c\u901a\u5e38\u9700\u8981\u786e\u4fdd\u6570\u636e\u7684\u4e00\u81f4\u6027\uff0c\u4ee5\u4fbf\u4e8e\u540e\u7eed\u7684\u5904\u7406\u3002<\/p>\n<\/p>\n

\u5b57\u5178\u662f\u4e00\u79cd\u952e\u503c\u5bf9\u7684\u6570\u636e\u7ed3\u6784\uff0c\u867d\u7136\u5b57\u5178\u672c\u8eab\u662f\u65e0\u5e8f\u7684\uff0c\u4f46\u5728Python 3.7\u53ca\u66f4\u9ad8\u7248\u672c\u4e2d\uff0c\u5b57\u5178\u4fdd\u6301\u63d2\u5165\u987a\u5e8f\u3002\u56e0\u6b64\uff0c\u53ef\u4ee5\u4f7f\u7528\u5b57\u5178\u6765\u6709\u5e8f\u4fdd\u5b58\u6570\u636e\u3002\u4e0d\u8fc7\uff0c\u5982\u679c\u5bf9\u987a\u5e8f\u8981\u6c42\u4e25\u683c\uff0c\u5efa\u8bae\u4f7f\u7528collections.OrderedDict<\/code>\uff0c\u8fd9\u662f\u4e00\u4e2a\u4e13\u95e8\u7684\u6709\u5e8f\u5b57\u5178\u7c7b\u3002<\/p>\n<\/p>\n

\u5bf9\u4e8e\u9700\u8981\u4fdd\u6301\u987a\u5e8f\u7684\u6570\u636e\u96c6\u5408\uff0c\u5217\u8868\u548c\u5b57\u5178\u90fd\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684\u5b58\u50a8\u9009\u9879\u3002\u5f53\u7ed3\u5408\u4f7f\u7528\u65f6\uff0c\u5b83\u4eec\u53ef\u4ee5\u6ee1\u8db3\u5927\u591a\u6570\u57fa\u672c\u7684\u6570\u636e\u5b58\u50a8\u9700\u6c42\u3002<\/p>\n<\/p>\n

\u4e8c\u3001PANDAS\u6570\u636e\u6846<\/p>\n<\/p>\n

Pandas\u662fPython\u4e2d\u7528\u4e8e\u6570\u636e\u5206\u6790\u7684\u5f3a\u5927\u5e93\u4e4b\u4e00\u3002\u5b83\u63d0\u4f9b\u4e86DataFrame\u5bf9\u8c61\uff0c\u53ef\u4ee5\u7528\u6765\u5b58\u50a8\u548c\u64cd\u4f5c\u8868\u683c\u5f62\u5f0f\u7684\u6570\u636e\u3002DataFrame\u4e0d\u4ec5\u53ef\u4ee5\u4fdd\u5b58\u6709\u5e8f\u6570\u636e\uff0c\u8fd8\u53ef\u4ee5\u8fdb\u884c\u590d\u6742\u7684\u6570\u636e\u64cd\u4f5c\u3002<\/p>\n<\/p>\n

    \n
  1. \n

    \u521b\u5efaDataFrame<\/strong><\/p>\n<\/p>\n

    \u8981\u4f7f\u7528DataFrame\u4fdd\u5b58\u6570\u636e\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5pandas\u5e93\uff1apip install pandas<\/code>\u3002\u521b\u5efaDataFrame\u6709\u591a\u79cd\u65b9\u5f0f\uff0c\u5305\u62ec\u4ece\u5b57\u5178\u3001\u5217\u8868\u3001NumPy\u6570\u7ec4\u7b49\u521b\u5efa\u3002\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u4ece\u5b57\u5178\u521b\u5efaDataFrame\uff1a<\/p>\n<\/p>\n

    import pandas as pd<\/p>\n
    data = {<\/p>\n
        'Name': ['Alice', 'Bob', 'Charlie'],<\/p>\n
        'Age': [25, 30, 35],<\/p>\n
        'City': ['New York', 'Los Angeles', 'Chicago']<\/p>\n
    }<\/p>\n
    df = pd.DataFrame(data)<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n
  2. \n
    \u4fdd\u5b58DataFrame<\/strong><\/p>\n<\/p>\n
    pandas\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u4fdd\u5b58DataFrame\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5c06DataFrame\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
    df.to_csv('data.csv', index=False)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u6216\u8005\u4fdd\u5b58\u4e3aExcel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
    df.to_excel('data.xlsx', index=False)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd8\u53ef\u4ee5\u4fdd\u5b58\u5230SQL\u6570\u636e\u5e93\u4e2d\uff1a<\/p>\n<\/p>\n
    from sqlalchemy import create_engine<\/p>\n
    engine = create_engine('sqlite:\/\/\/mydatabase.db')<\/p>\n
    df.to_sql('my_table', con=engine, if_exists='replace', index=False)<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n
  3. \n
    \u8bfb\u53d6DataFrame<\/strong><\/p>\n<\/p>\n
    \u540c\u6837\uff0cpandas\u4e5f\u63d0\u4f9b\u4e86\u4ece\u5404\u79cd\u683c\u5f0f\u8bfb\u53d6\u6570\u636e\u7684\u65b9\u6cd5\u3002\u4f8b\u5982\uff0c\u4eceCSV\u6587\u4ef6\u8bfb\u53d6\uff1a<\/p>\n<\/p>\n
    df = pd.read_csv('data.csv')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4eceExcel\u6587\u4ef6\u8bfb\u53d6\uff1a<\/p>\n<\/p>\n
    df = pd.read_excel('data.xlsx')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4eceSQL\u6570\u636e\u5e93\u8bfb\u53d6\uff1a<\/p>\n<\/p>\n
    df = pd.read_sql('my_table', con=engine)<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4f7f\u7528pandas\u6570\u636e\u6846\u4e0d\u4ec5\u53ef\u4ee5\u6709\u5e8f\u5730\u4fdd\u5b58\u548c\u8bfb\u53d6\u6570\u636e\uff0c\u8fd8\u53ef\u4ee5\u8fdb\u884c\u6570\u636e\u7684\u6e05\u6d17\u3001\u8f6c\u6362\u548c\u5206\u6790\uff0c\u6781\u5927\u5730\u63d0\u9ad8\u4e86\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u3002<\/p>\n<\/p>\n
    \u4e09\u3001JSON\u4e0eCSV\u6587\u4ef6<\/p>\n<\/p>\n
    JSON\uff08JavaScript Object Notation\uff09\u662f\u4e00\u79cd\u8f7b\u91cf\u7ea7\u7684\u6570\u636e\u4ea4\u6362\u683c\u5f0f\uff0c\u6613\u4e8e\u4eba\u7c7b\u9605\u8bfb\u548c\u7f16\u5199\uff0c\u540c\u65f6\u4e5f\u6613\u4e8e\u673a\u5668\u89e3\u6790\u548c\u751f\u6210\u3002Python\u63d0\u4f9b\u4e86\u5185\u7f6e\u7684json\u6a21\u5757\uff0c\u80fd\u591f\u65b9\u4fbf\u5730\u5c06Python\u5bf9\u8c61\u8f6c\u6362\u4e3aJSON\u683c\u5f0f\u5e76\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff0c\u6216\u8005\u4eceJSON\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n
    CSV\uff08Comma-Separated Values\uff09\u662f\u4e00\u79cd\u7b80\u5355\u7684\u6587\u4ef6\u683c\u5f0f\uff0c\u7528\u4e8e\u5b58\u50a8\u8868\u683c\u6570\u636e\uff08\u6570\u5b57\u548c\u6587\u672c\uff09\u3002Python\u7684\u5185\u7f6e\u6a21\u5757csv\u53ef\u4ee5\u7528\u6765\u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6\u3002CSV\u683c\u5f0f\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u6570\u636e\u4ea4\u6362\u548c\u5b58\u50a8\u3002<\/p>\n<\/p>\n
      \n
    1. \n
      JSON\u6587\u4ef6<\/strong><\/p>\n<\/p>\n
      \u4f7f\u7528json\u6a21\u5757\uff0c\u53ef\u4ee5\u5c06Python\u5b57\u5178\u4fdd\u5b58\u4e3aJSON\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
      import json<\/p>\n
      data = {<\/p>\n
          'name': 'Alice',<\/p>\n
          'age': 25,<\/p>\n
          'city': 'New York'<\/p>\n
      }<\/p>\n
      with open('data.json', 'w') as json_file:<\/p>\n
          json.dump(data, json_file)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u4eceJSON\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\uff1a<\/p>\n<\/p>\n
      with open('data.json', 'r') as json_file:<\/p>\n
          data = json.load(json_file)<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n
    2. \n
      CSV\u6587\u4ef6<\/strong><\/p>\n<\/p>\n
      \u4f7f\u7528csv\u6a21\u5757\uff0c\u53ef\u4ee5\u5c06\u5217\u8868\u6216\u5b57\u5178\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
      import csv<\/p>\n
      data = [<\/p>\n
          ['Name', 'Age', 'City'],<\/p>\n
          ['Alice', 25, 'New York'],<\/p>\n
          ['Bob', 30, 'Los Angeles'],<\/p>\n
          ['Charlie', 35, 'Chicago']<\/p>\n
      ]<\/p>\n
      with open('data.csv', 'w', newline='') as csv_file:<\/p>\n
          writer = csv.writer(csv_file)<\/p>\n
          writer.writerows(data)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u4eceCSV\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\uff1a<\/p>\n<\/p>\n
      with open('data.csv', newline='') as csv_file:<\/p>\n
          reader = csv.reader(csv_file)<\/p>\n
          for row in reader:<\/p>\n
              print(row)<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
      JSON\u548cCSV\u6587\u4ef6\u683c\u5f0f\u7b80\u5355\u4e14\u6613\u4e8e\u4f7f\u7528\uff0c\u9002\u5408\u7528\u4e8e\u6570\u636e\u7684\u4ea4\u6362\u548c\u7b80\u5355\u5b58\u50a8\u3002\u5728\u6570\u636e\u91cf\u8f83\u5927\u6216\u7ed3\u6784\u8f83\u4e3a\u590d\u6742\u65f6\uff0c\u53ef\u4ee5\u8003\u8651\u4f7f\u7528\u6570\u636e\u5e93\u6765\u5b58\u50a8\u6570\u636e\u3002<\/p>\n<\/p>\n
      \u56db\u3001SQLite\u6570\u636e\u5e93<\/p>\n<\/p>\n
      SQLite\u662f\u4e00\u79cd\u8f7b\u91cf\u7ea7\u7684\u6570\u636e\u5e93\uff0c\u9002\u5408\u5d4c\u5165\u5230\u5e94\u7528\u7a0b\u5e8f\u4e2d\u4f7f\u7528\u3002Python\u7684\u5185\u7f6esqlite3\u6a21\u5757\u5141\u8bb8\u76f4\u63a5\u4e0eSQLite\u6570\u636e\u5e93\u8fdb\u884c\u4ea4\u4e92\u3002\u4f7f\u7528SQLite\u53ef\u4ee5\u6301\u4e45\u5316\u5b58\u50a8\u6570\u636e\uff0c\u5e76\u63d0\u4f9b\u5bf9\u6570\u636e\u7684\u5feb\u901f\u68c0\u7d22\u3002<\/p>\n<\/p>\n
        \n
      1. \n
        \u521b\u5efaSQLite\u6570\u636e\u5e93<\/strong><\/p>\n<\/p>\n
        \u53ef\u4ee5\u4f7f\u7528sqlite3\u6a21\u5757\u521b\u5efa\u5e76\u8fde\u63a5\u5230SQLite\u6570\u636e\u5e93\uff1a<\/p>\n<\/p>\n
        import sqlite3<\/p>\n
        conn = sqlite3.connect('example.db')<\/p>\n
        c = conn.cursor()<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      2. \n
        \u521b\u5efa\u8868\u5e76\u63d2\u5165\u6570\u636e<\/strong><\/p>\n<\/p>\n
        \u5728SQLite\u6570\u636e\u5e93\u4e2d\u521b\u5efa\u8868\u5e76\u63d2\u5165\u6570\u636e\uff1a<\/p>\n<\/p>\n
        c.execute('''CREATE TABLE IF NOT EXISTS users<\/p>\n
                     (id INTEGER PRIMARY KEY, name TEXT, age INTEGER)''')<\/p>\n
        c.execute("INSERT INTO users (name, age) VALUES ('Alice', 25)")<\/p>\n
        c.execute("INSERT INTO users (name, age) VALUES ('Bob', 30)")<\/p>\n
        conn.commit()<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      3. \n
        \u67e5\u8be2\u6570\u636e<\/strong><\/p>\n<\/p>\n
        \u4ece\u6570\u636e\u5e93\u4e2d\u67e5\u8be2\u6570\u636e\uff1a<\/p>\n<\/p>\n
        c.execute("SELECT * FROM users")<\/p>\n
        rows = c.fetchall()<\/p>\n
        for row in rows:<\/p>\n
            print(row)<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      4. \n
        \u5173\u95ed\u8fde\u63a5<\/strong><\/p>\n<\/p>\n
        \u5b8c\u6210\u64cd\u4f5c\u540e\uff0c\u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5\uff1a<\/p>\n<\/p>\n
        conn.close()<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
        SQLite\u6570\u636e\u5e93\u9002\u5408\u7528\u4e8e\u9700\u8981\u6301\u4e45\u5316\u5b58\u50a8\u548c\u5feb\u901f\u8bbf\u95ee\u7684\u5c0f\u578b\u5e94\u7528\u3002\u5b83\u6613\u4e8e\u4f7f\u7528\uff0c\u65e0\u9700\u5355\u72ec\u7684\u670d\u52a1\u5668\u8fdb\u7a0b\uff0c\u9002\u5408\u5d4c\u5165\u5f0f\u5e94\u7528\u7a0b\u5e8f\u3002<\/p>\n<\/p>\n
        \u4e94\u3001\u6587\u4ef6\u4e0e\u5e8f\u5217\u5316<\/p>\n<\/p>\n
        Python\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u5c06\u6570\u636e\u5e8f\u5217\u5316\u5e76\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\u3002\u5e8f\u5217\u5316\u662f\u6307\u5c06\u5bf9\u8c61\u7684\u72b6\u6001\u8f6c\u6362\u4e3a\u53ef\u5b58\u50a8\u6216\u4f20\u8f93\u7684\u683c\u5f0f\u3002Python\u7684pickle\u6a21\u5757\u53ef\u4ee5\u5c06Python\u5bf9\u8c61\u5e8f\u5217\u5316\u4e3a\u5b57\u8282\u6d41\uff0c\u5e76\u5c06\u5176\u5199\u5165\u6587\u4ef6\u3002<\/p>\n<\/p>\n
          \n
        1. \n
          \u4f7f\u7528pickle\u6a21\u5757<\/strong><\/p>\n<\/p>\n
          pickle\u6a21\u5757\u53ef\u4ee5\u5c06\u4efb\u610fPython\u5bf9\u8c61\u5e8f\u5217\u5316\u5e76\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n
          import pickle<\/p>\n
          data = {'name': 'Alice', 'age': 25, 'city': 'New York'}<\/p>\n
          with open('data.pkl', 'wb') as pkl_file:<\/p>\n
              pickle.dump(data, pkl_file)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u4ecepickle\u6587\u4ef6\u4e2d\u52a0\u8f7d\u6570\u636e\uff1a<\/p>\n<\/p>\n
          with open('data.pkl', 'rb') as pkl_file:<\/p>\n
              data = pickle.load(pkl_file)<\/p>\n
          <\/code><\/pre>\n<\/p>\n<\/li>\n
        2. \n
          \u4f7f\u7528shelve\u6a21\u5757<\/strong><\/p>\n<\/p>\n
          shelve\u6a21\u5757\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u6301\u4e45\u5316\u5b58\u50a8\u673a\u5236\uff0c\u53ef\u4ee5\u5c06\u6570\u636e\u4ee5\u5b57\u5178\u7684\u5f62\u5f0f\u5b58\u50a8\u5728\u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n
          import shelve<\/p>\n
          with shelve.open('data_shelve') as db:<\/p>\n
              db['name'] = 'Alice'<\/p>\n
              db['age'] = 25<\/p>\n
              db['city'] = 'New York'<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u4eceshelve\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\uff1a<\/p>\n<\/p>\n
          with shelve.open('data_shelve') as db:<\/p>\n
              name = db['name']<\/p>\n
              age = db['age']<\/p>\n
              city = db['city']<\/p>\n
          <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
          \u4f7f\u7528pickle\u548cshelve\u6a21\u5757\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06Python\u5bf9\u8c61\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff0c\u5e76\u5728\u9700\u8981\u65f6\u52a0\u8f7d\u56de\u6765\u3002\u4e0d\u8fc7\uff0cpickle\u548cshelve\u6a21\u5757\u7684\u6587\u4ef6\u683c\u5f0f\u4e0ePython\u7248\u672c\u548c\u5b9e\u73b0\u76f8\u5173\uff0c\u4e0d\u9002\u5408\u7528\u4e8e\u8de8\u5e73\u53f0\u7684\u6570\u636e\u4ea4\u6362\u3002<\/p>\n<\/p>\n
          \u516d\u3001\u603b\u7ed3<\/p>\n<\/p>\n
          \u5728Python\u4e2d\uff0c\u6709\u591a\u79cd\u65b9\u5f0f\u53ef\u4ee5\u6709\u5e8f\u4fdd\u5b58\u6570\u636e\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u5e94\u7528\u573a\u666f\u548c\u9700\u6c42\u3002\u5bf9\u4e8e\u7b80\u5355\u7684\u6570\u636e\u5b58\u50a8\uff0c\u53ef\u4ee5\u4f7f\u7528\u5217\u8868\u3001\u5b57\u5178\u6216CSV\u6587\u4ef6\uff1b\u5bf9\u4e8e\u9700\u8981\u6301\u4e45\u5316\u5b58\u50a8\u548c\u5feb\u901f\u8bbf\u95ee\u7684\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528SQLite\u6570\u636e\u5e93\uff1b\u5bf9\u4e8e\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\uff0cpandas\u6570\u636e\u6846\u662f\u4e00\u4e2a\u7406\u60f3\u7684\u9009\u62e9\u3002JSON\u6587\u4ef6\u683c\u5f0f\u9002\u5408\u4e8e\u7f51\u7edc\u4f20\u8f93\u548c\u8de8\u5e73\u53f0\u7684\u6570\u636e\u4ea4\u6362\uff0c\u800cpickle\u548cshelve\u6a21\u5757\u5219\u9002\u5408\u4e8e\u672c\u5730\u7684\u5bf9\u8c61\u5e8f\u5217\u5316\u548c\u5b58\u50a8\u3002\u901a\u8fc7\u5408\u7406\u9009\u62e9\u8fd9\u4e9b\u5de5\u5177\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u7ba1\u7406\u548c\u4fdd\u5b58\u6570\u636e\u3002<\/p>\n<\/p>\n
          \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
           \u5982\u4f55\u5728Python\u4e2d\u5c06\u6570\u636e\u4ee5\u6709\u5e8f\u7684\u65b9\u5f0f\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff1f<\/strong>
          \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u5c06\u6570\u636e\u4ee5\u6709\u5e8f\u7684\u65b9\u5f0f\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684json<\/code>\u6a21\u5757\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aJSON\u683c\u5f0f\uff0c\u8fd9\u6837\u53ef\u4ee5\u4fdd\u6301\u6570\u636e\u7684\u7ed3\u6784\u548c\u987a\u5e8f\u3002\u540c\u65f6\uff0c\u4f7f\u7528csv<\/code>\u6a21\u5757\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u5217\u8868\u6216\u5b57\u5178\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff0c\u786e\u4fdd\u6570\u636e\u6309\u884c\u548c\u5217\u7684\u987a\u5e8f\u4fdd\u5b58\u3002\u4f7f\u7528pickle<\/code>\u6a21\u5757\u4e5f\u80fd\u591f\u5e8f\u5217\u5316Python\u5bf9\u8c61\u5e76\u4fdd\u6301\u5176\u987a\u5e8f\uff0c\u9002\u5408\u5b58\u50a8\u590d\u6742\u6570\u636e\u7ed3\u6784\u3002<\/p>\n
          \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u54ea\u4e9b\u6570\u636e\u7ed3\u6784\u6765\u4fdd\u6301\u6570\u636e\u7684\u987a\u5e8f\uff1f<\/strong>
          Python\u63d0\u4f9b\u4e86\u591a\u79cd\u6570\u636e\u7ed3\u6784\u6765\u4fdd\u6301\u6570\u636e\u7684\u987a\u5e8f\u3002\u5176\u4e2d\uff0c\u5217\u8868\uff08list\uff09\u662f\u6700\u5e38\u7528\u7684\uff0c\u6709\u5e8f\u96c6\u5408\uff0c\u5141\u8bb8\u91cd\u590d\u5143\u7d20\u3002\u5b57\u5178\uff08dict\uff09\u4ecePython 3.7\u5f00\u59cb\u4e5f\u4fdd\u6301\u63d2\u5165\u987a\u5e8f\uff0c\u9002\u5408\u5b58\u50a8\u952e\u503c\u5bf9\u3002\u96c6\u5408\uff08set\uff09\u867d\u7136\u4e0d\u5141\u8bb8\u91cd\u590d\uff0c\u4f46\u53ef\u4ee5\u4f7f\u7528OrderedSet<\/code>\u7b49\u7b2c\u4e09\u65b9\u5e93\u6765\u4fdd\u6301\u987a\u5e8f\u3002<\/p>\n
          \u5982\u4f55\u786e\u4fdd\u5728\u8bfb\u53d6\u6709\u5e8f\u4fdd\u5b58\u7684\u6570\u636e\u65f6\u987a\u5e8f\u4e0d\u88ab\u6253\u4e71\uff1f<\/strong>
          \u4e3a\u4e86\u786e\u4fdd\u5728\u8bfb\u53d6\u6709\u5e8f\u4fdd\u5b58\u7684\u6570\u636e\u65f6\u987a\u5e8f\u4e0d\u88ab\u6253\u4e71\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5185\u7f6e\u6a21\u5757\uff0c\u5982json<\/code>\u548ccsv<\/code>\uff0c\u5b83\u4eec\u4f1a\u4fdd\u6301\u6570\u636e\u7684\u987a\u5e8f\u3002\u5728\u8bfb\u53d6\u6570\u636e\u65f6\uff0c\u786e\u4fdd\u4f7f\u7528\u76f8\u540c\u7684\u683c\u5f0f\u548c\u65b9\u6cd5\uff08\u4f8b\u5982\uff0c\u901a\u8fc7json.load()<\/code>\u8bfb\u53d6JSON\u6587\u4ef6\uff09\uff0c\u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd\u6570\u636e\u6309\u7167\u4fdd\u5b58\u65f6\u7684\u987a\u5e8f\u8fdb\u884c\u8bfb\u53d6\u3002\u6b64\u5916\uff0c\u4f7f\u7528OrderedDict<\/code>\u53ef\u4ee5\u5728\u5904\u7406\u5b57\u5178\u65f6\u4fdd\u6301\u63d2\u5165\u987a\u5e8f\uff0c\u786e\u4fdd\u6570\u636e\u7684\u6709\u5e8f\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u6570\u636e\u7684\u6709\u5e8f\u4fdd\u5b58\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u5177\u4f53\u65b9\u6cd5\u53d6\u51b3\u4e8e\u6570\u636e\u7684\u7c7b\u578b\u548c\u5e94\u7528\u573a\u666f\u3002\u4f7f\u7528\u5217\u8868\u3001\u5b57\u5178\u4e0e\u6709\u5e8f […]","protected":false},"author":3,"featured_media":1017528,"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\/1017510"}],"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=1017510"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1017510\/revisions"}],"predecessor-version":[{"id":1017532,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1017510\/revisions\/1017532"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1017528"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1017510"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1017510"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1017510"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}