{"id":963237,"date":"2024-12-27T04:15:58","date_gmt":"2024-12-26T20:15:58","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/963237.html"},"modified":"2024-12-27T04:16:00","modified_gmt":"2024-12-26T20:16:00","slug":"python%e5%a6%82%e4%bd%95%e5%86%99%e5%85%a5table","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/963237.html","title":{"rendered":"python\u5982\u4f55\u5199\u5165table"},"content":{"rendered":"

\"python\u5982\u4f55\u5199\u5165table\"<\/p>\n

\u5728Python\u4e2d\u5199\u5165\u8868\uff08table\uff09\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u521b\u5efa\u548c\u5199\u5165\u6570\u636e\u5230CSV\u6587\u4ef6\u3001\u4f7f\u7528SQLite\u6570\u636e\u5e93\u3001\u4ee5\u53ca\u4f7f\u7528MySQL\u7b49\u6570\u636e\u5e93\u5199\u5165\u6570\u636e\u3002\u5177\u4f53\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\u53d6\u51b3\u4e8e\u4f60\u7684\u6570\u636e\u5b58\u50a8\u9700\u6c42\u3001\u6570\u636e\u91cf\u5927\u5c0f\u4ee5\u53ca\u6570\u636e\u5e93\u7684\u4f7f\u7528\u4e60\u60ef\u3002<\/strong> \u5176\u4e2d\uff0cPandas<\/strong>\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\uff1bSQLite<\/strong>\u662f\u4e00\u79cd\u8f7b\u91cf\u7ea7\u6570\u636e\u5e93\uff0c\u9002\u5408\u5d4c\u5165\u5f0f\u5e94\u7528\u548c\u5c0f\u578b\u9879\u76ee\uff1bMySQL<\/strong>\u5219\u9002\u5408\u9700\u8981\u5904\u7406\u5927\u91cf\u6570\u636e\u7684\u66f4\u590d\u6742\u5e94\u7528\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63a2\u8ba8\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u5728Python\u4e2d\u5199\u5165\u8868\u6570\u636e\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528PANDAS\u5e93\u5199\u5165CSV\u6587\u4ef6<\/p>\n<\/p>\n

Pandas\u662f\u4e00\u4e2a\u975e\u5e38\u6d41\u884c\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\u3002\u5b83\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\uff0c\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u4e0d\u9700\u8981\u590d\u6742\u6570\u636e\u5e93\u652f\u6301\u7684\u5c0f\u578b\u9879\u76ee\u3002<\/p>\n<\/p>\n

    \n
  1. \u5b89\u88c5Pandas<\/li>\n<\/ol>\n

    \u9996\u5148\uff0c\u4f60\u9700\u8981\u5b89\u88c5Pandas\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u901a\u8fc7pip\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

    pip install pandas<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u521b\u5efaDataFrame<\/li>\n<\/ol>\n
      \u5728Pandas\u4e2d\uff0c\u6570\u636e\u901a\u5e38\u4ee5DataFrame\u7684\u5f62\u5f0f\u5b58\u50a8\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u5b57\u5178\u3001\u5217\u8868\u6216\u5176\u4ed6\u6570\u636e\u7ed3\u6784\u6765\u521b\u5efaDataFrame\u3002\u4f8b\u5982\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
        \n
      1. \u5c06DataFrame\u5199\u5165CSV\u6587\u4ef6<\/li>\n<\/ol>\n
        \u521b\u5efa\u597dDataFrame\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528to_csv<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
        df.to_csv('output.csv', index=False)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u4f7f\u7528Pandas\u5199\u5165CSV\u6587\u4ef6\u7684\u4f18\u52bf\u5728\u4e8e\u7b80\u5355\u6613\u7528\uff0c\u5e76\u4e14\u53ef\u4ee5\u5904\u7406\u7f3a\u5931\u503c\u3001\u4e0d\u540c\u7684\u6570\u636e\u7c7b\u578b\u7b49\u3002\u4f46\u662f\uff0cCSV\u6587\u4ef6\u4e0d\u9002\u5408\u5b58\u50a8\u5927\u91cf\u6570\u636e\uff0c\u5e76\u4e14\u4e0d\u652f\u6301\u4e8b\u52a1\u7b49\u6570\u636e\u5e93\u529f\u80fd\u3002<\/p>\n<\/p>\n
        \u4e8c\u3001\u4f7f\u7528SQLITE\u6570\u636e\u5e93<\/p>\n<\/p>\n
        SQLite\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684\u5d4c\u5165\u5f0f\u6570\u636e\u5e93\uff0c\u9002\u5408\u5c0f\u578b\u5e94\u7528\u548c\u5feb\u901f\u539f\u578b\u8bbe\u8ba1\u3002SQLite\u652f\u6301SQL\u8bed\u53e5\uff0c\u5e76\u4e14\u53ef\u4ee5\u5728Python\u4e2d\u901a\u8fc7sqlite3\u6a21\u5757\u4f7f\u7528\u3002<\/p>\n<\/p>\n
          \n
        1. \u521b\u5efaSQLite\u6570\u636e\u5e93<\/li>\n<\/ol>\n
          SQLite\u6570\u636e\u5e93\u5b58\u50a8\u5728\u4e00\u4e2a\u6587\u4ef6\u4e2d\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528sqlite3\u6a21\u5757\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u6570\u636e\u5e93\u6587\u4ef6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
          import sqlite3<\/p>\n
          \u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5<\/strong><\/h2>\n
          conn = sqlite3.connect('example.db')<\/p>\n
          \u521b\u5efa\u6e38\u6807\u5bf9\u8c61<\/strong><\/h2>\n
          cursor = conn.cursor()<\/p>\n
          \u521b\u5efa\u8868<\/strong><\/h2>\n
          cursor.execute('''<\/p>\n
          CREATE TABLE IF NOT EXISTS users (<\/p>\n
              id INTEGER PRIMARY KEY AUTOINCREMENT,<\/p>\n
              name TEXT NOT NULL,<\/p>\n
              age INTEGER,<\/p>\n
              city TEXT<\/p>\n
          )<\/p>\n
          ''')<\/p>\n
          \u63d0\u4ea4\u66f4\u6539<\/strong><\/h2>\n
          conn.commit()<\/p>\n
          <\/code><\/pre>\n<\/p>\n
            \n
          1. \u63d2\u5165\u6570\u636e<\/li>\n<\/ol>\n
            \u53ef\u4ee5\u4f7f\u7528SQL\u8bed\u53e5\u63d2\u5165\u6570\u636e\u5230SQLite\u8868\u4e2d\uff1a<\/p>\n<\/p>\n
            # \u63d2\u5165\u6570\u636e<\/p>\n
            cursor.execute('''<\/p>\n
            INSERT INTO users (name, age, city) VALUES (?, ?, ?)<\/p>\n
            ''', ('Alice', 25, 'New York'))<\/p>\n
            cursor.execute('''<\/p>\n
            INSERT INTO users (name, age, city) VALUES (?, ?, ?)<\/p>\n
            ''', ('Bob', 30, 'Los Angeles'))<\/p>\n
            \u63d0\u4ea4\u66f4\u6539<\/strong><\/h2>\n
            conn.commit()<\/p>\n
            <\/code><\/pre>\n<\/p>\n
              \n
            1. \u67e5\u8be2\u6570\u636e<\/li>\n<\/ol>\n
              \u53ef\u4ee5\u4f7f\u7528SQL\u8bed\u53e5\u67e5\u8be2SQLite\u8868\u4e2d\u7684\u6570\u636e\uff1a<\/p>\n<\/p>\n
              cursor.execute('SELECT * FROM users')<\/p>\n
              rows = cursor.fetchall()<\/p>\n
              for row in rows:<\/p>\n
                  print(row)<\/p>\n
              <\/code><\/pre>\n<\/p>\n
                \n
              1. \u5173\u95ed\u8fde\u63a5<\/li>\n<\/ol>\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
                SQLite\u7684\u4f18\u70b9\u662f\u7b80\u5355\u6613\u7528\uff0c\u652f\u6301SQL\u8bed\u53e5\uff0c\u5e76\u4e14\u4e0d\u9700\u8981\u5355\u72ec\u7684\u6570\u636e\u5e93\u670d\u52a1\u5668\u3002\u4f46\u662f\uff0cSQLite\u4e0d\u9002\u5408\u5904\u7406\u5927\u91cf\u5e76\u53d1\u8bf7\u6c42\u7684\u5927\u578b\u5e94\u7528\u3002<\/p>\n<\/p>\n
                \u4e09\u3001\u4f7f\u7528MYSQL\u6570\u636e\u5e93<\/p>\n<\/p>\n
                MySQL\u662f\u4e00\u79cd\u6d41\u884c\u7684\u5173\u7cfb\u578b\u6570\u636e\u5e93\u7ba1\u7406\u7cfb\u7edf\uff0c\u9002\u5408\u9700\u8981\u5904\u7406\u5927\u91cf\u6570\u636e\u7684\u66f4\u590d\u6742\u5e94\u7528\u3002Python\u4e2d\u53ef\u4ee5\u4f7f\u7528mysql-connector-python\u6a21\u5757\u4e0eMySQL\u6570\u636e\u5e93\u8fdb\u884c\u4ea4\u4e92\u3002<\/p>\n<\/p>\n
                  \n
                1. \u5b89\u88c5mysql-connector-python<\/li>\n<\/ol>\n
                  \u9996\u5148\uff0c\u5b89\u88c5mysql-connector-python\u6a21\u5757\uff1a<\/p>\n<\/p>\n
                  pip install mysql-connector-python<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                    \n
                  1. \u8fde\u63a5MySQL\u6570\u636e\u5e93<\/li>\n<\/ol>\n
                    \u4f7f\u7528mysql-connector-python\u6a21\u5757\u8fde\u63a5MySQL\u6570\u636e\u5e93\uff1a<\/p>\n<\/p>\n
                    import mysql.connector<\/p>\n
                    \u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5<\/strong><\/h2>\n
                    conn = mysql.connector.connect(<\/p>\n
                        host='localhost',<\/p>\n
                        user='username',<\/p>\n
                        password='password',<\/p>\n
                        database='testdb'<\/p>\n
                    )<\/p>\n
                    \u521b\u5efa\u6e38\u6807\u5bf9\u8c61<\/strong><\/h2>\n
                    cursor = conn.cursor()<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                      \n
                    1. \u521b\u5efa\u8868<\/li>\n<\/ol>\n
                      \u53ef\u4ee5\u4f7f\u7528SQL\u8bed\u53e5\u5728MySQL\u6570\u636e\u5e93\u4e2d\u521b\u5efa\u8868\uff1a<\/p>\n<\/p>\n
                      cursor.execute('''<\/p>\n
                      CREATE TABLE IF NOT EXISTS users (<\/p>\n
                          id INT AUTO_INCREMENT PRIMARY KEY,<\/p>\n
                          name VARCHAR(255) NOT NULL,<\/p>\n
                          age INT,<\/p>\n
                          city VARCHAR(255)<\/p>\n
                      )<\/p>\n
                      ''')<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                        \n
                      1. \u63d2\u5165\u6570\u636e<\/li>\n<\/ol>\n
                        \u4f7f\u7528SQL\u8bed\u53e5\u63d2\u5165\u6570\u636e\u5230MySQL\u8868\u4e2d\uff1a<\/p>\n<\/p>\n
                        cursor.execute('''<\/p>\n
                        INSERT INTO users (name, age, city) VALUES (%s, %s, %s)<\/p>\n
                        ''', ('Charlie', 35, 'Chicago'))<\/p>\n
                        \u63d0\u4ea4\u66f4\u6539<\/strong><\/h2>\n
                        conn.commit()<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                          \n
                        1. \u67e5\u8be2\u6570\u636e<\/li>\n<\/ol>\n
                          \u53ef\u4ee5\u4f7f\u7528SQL\u8bed\u53e5\u67e5\u8be2MySQL\u8868\u4e2d\u7684\u6570\u636e\uff1a<\/p>\n<\/p>\n
                          cursor.execute('SELECT * FROM users')<\/p>\n
                          rows = cursor.fetchall()<\/p>\n
                          for row in rows:<\/p>\n
                              print(row)<\/p>\n
                          <\/code><\/pre>\n<\/p>\n
                            \n
                          1. \u5173\u95ed\u8fde\u63a5<\/li>\n<\/ol>\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
                            MySQL\u7684\u4f18\u70b9\u662f\u652f\u6301\u5927\u89c4\u6a21\u6570\u636e\u5b58\u50a8\u548c\u5e76\u53d1\u8bbf\u95ee\uff0c\u5e76\u4e14\u5177\u6709\u4e30\u5bcc\u7684\u529f\u80fd\u548c\u63d2\u4ef6\u652f\u6301\u3002\u4f46\u662f\uff0cMySQL\u9700\u8981\u5b89\u88c5\u548c\u7ef4\u62a4\u6570\u636e\u5e93\u670d\u52a1\u5668\uff0c\u914d\u7f6e\u76f8\u5bf9\u590d\u6742\u3002<\/p>\n<\/p>\n
                            \u56db\u3001\u603b\u7ed3<\/p>\n<\/p>\n
                            \u5728Python\u4e2d\u5199\u5165\u8868\u6570\u636e\u7684\u65b9\u6cd5\u6709\u591a\u79cd\u9009\u62e9\uff0c\u5177\u4f53\u65b9\u6cd5\u53d6\u51b3\u4e8e\u4f60\u7684\u9700\u6c42\u548c\u9879\u76ee\u89c4\u6a21\u3002\u4f7f\u7528Pandas\u5199\u5165CSV\u6587\u4ef6\u9002\u5408\u5c0f\u578b\u9879\u76ee\u548c\u5feb\u901f\u539f\u578b\u8bbe\u8ba1\uff1b\u4f7f\u7528SQLite\u9002\u5408\u5d4c\u5165\u5f0f\u5e94\u7528\u548c\u5c0f\u578b\u9879\u76ee\uff1b\u800c\u4f7f\u7528MySQL\u9002\u5408\u9700\u8981\u5904\u7406\u5927\u91cf\u6570\u636e\u548c\u5e76\u53d1\u8bf7\u6c42\u7684\u590d\u6742\u5e94\u7528\u3002<\/strong> \u4e86\u89e3\u6bcf\u79cd\u65b9\u6cd5\u7684\u4f18\u7f3a\u70b9\uff0c\u53ef\u4ee5\u5e2e\u52a9\u4f60\u9009\u62e9\u6700\u5408\u9002\u7684\u6570\u636e\u5b58\u50a8\u65b9\u6848\u3002<\/p>\n<\/p>\n
                            \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                             \u5982\u4f55\u5728Python\u4e2d\u5199\u5165\u6570\u636e\u5e93\u8868\uff1f<\/strong>
                            \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5e93\u6765\u8fde\u63a5\u548c\u5199\u5165\u6570\u636e\u5e93\u8868\u3002\u6700\u5e38\u7528\u7684\u5e93\u662fsqlite3<\/code>\u3001pymysql<\/code>\u548cSQLAlchemy<\/code>\u3002\u901a\u8fc7\u8fd9\u4e9b\u5e93\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7\u5efa\u7acb\u6570\u636e\u5e93\u8fde\u63a5\u3001\u7f16\u5199SQL\u63d2\u5165\u8bed\u53e5\u5e76\u6267\u884c\u6765\u5199\u5165\u6570\u636e\u3002\u5177\u4f53\u6b65\u9aa4\u5305\u62ec\u5bfc\u5165\u5e93\u3001\u521b\u5efa\u8fde\u63a5\u3001\u7f16\u5199SQL\u8bed\u53e5\u3001\u6267\u884c\u5e76\u63d0\u4ea4\u66f4\u6539\u3002<\/p>\n
                            \u4f7f\u7528Python\u5199\u5165Excel\u8868\u683c\u7684\u6700\u4f73\u65b9\u6cd5\u662f\u4ec0\u4e48\uff1f<\/strong>
                            \u5728Python\u4e2d\uff0c\u4f7f\u7528pandas<\/code>\u548copenpyxl<\/code>\u5e93\u662f\u5199\u5165Excel\u8868\u683c\u7684\u5e38\u89c1\u65b9\u6cd5\u3002\u901a\u8fc7pandas<\/code>\u7684DataFrame<\/code>\u529f\u80fd\uff0c\u4f60\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u6570\u636e\u5199\u5165Excel\u6587\u4ef6\u3002\u53ea\u9700\u521b\u5efa\u4e00\u4e2aDataFrame\u5e76\u4f7f\u7528to_excel()<\/code>\u65b9\u6cd5\u5373\u53ef\u5c06\u6570\u636e\u4fdd\u5b58\u5230\u6307\u5b9a\u7684Excel\u6587\u4ef6\u4e2d\u3002<\/p>\n
                            \u5982\u4f55\u5728Python\u4e2d\u5199\u5165CSV\u6587\u4ef6\uff1f<\/strong>
                            \u4f7f\u7528Python\u7684csv<\/code>\u6a21\u5757\u6216pandas<\/code>\u5e93\u90fd\u53ef\u4ee5\u65b9\u4fbf\u5730\u5199\u5165CSV\u6587\u4ef6\u3002csv<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u57fa\u672c\u7684\u529f\u80fd\u6765\u521b\u5efa\u548c\u5199\u5165CSV\u6587\u4ef6\uff0c\u800cpandas<\/code>\u5219\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u7684\u529f\u80fd\uff0c\u5141\u8bb8\u4f60\u8f7b\u677e\u5904\u7406\u6570\u636e\u5e76\u5c06\u5176\u5bfc\u51fa\u4e3aCSV\u683c\u5f0f\u3002\u53ea\u9700\u51c6\u5907\u597d\u6570\u636e\u5e76\u8c03\u7528\u76f8\u5173\u7684\u5199\u5165\u51fd\u6570\u5373\u53ef\u5b8c\u6210\u64cd\u4f5c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u5199\u5165\u8868\uff08table\uff09\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u521b\u5efa\u548c\u5199\u5165\u6570\u636e\u5230CSV\u6587\u4ef6\u3001 […]","protected":false},"author":3,"featured_media":963249,"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\/963237"}],"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=963237"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/963237\/revisions"}],"predecessor-version":[{"id":963251,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/963237\/revisions\/963251"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/963249"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=963237"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=963237"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=963237"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}