{"id":1093771,"date":"2025-01-08T14:34:24","date_gmt":"2025-01-08T06:34:24","guid":{"rendered":""},"modified":"2025-01-08T14:34:27","modified_gmt":"2025-01-08T06:34:27","slug":"%e5%a6%82%e4%bd%95%e5%b0%86%e6%95%b0%e6%8d%ae%e5%ad%98%e5%85%a5%e8%a1%a8%e6%a0%bc%e4%b8%ad-python-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1093771.html","title":{"rendered":"\u5982\u4f55\u5c06\u6570\u636e\u5b58\u5165\u8868\u683c\u4e2d python"},"content":{"rendered":"

\"\u5982\u4f55\u5c06\u6570\u636e\u5b58\u5165\u8868\u683c\u4e2d<\/p>\n

\u4f7f\u7528Pandas\u5e93\u3001\u4f7f\u7528csv\u6a21\u5757\u3001\u4f7f\u7528openpyxl\u5e93\u3001\u4f7f\u7528sqlite3\u6a21\u5757<\/strong>\u3002\u5176\u4e2d\uff0c\u4f7f\u7528Pandas\u5e93\u662f\u4e00\u4e2a\u5e38\u89c1\u4e14\u65b9\u4fbf\u7684\u65b9\u6cd5\u3002Pandas\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u6570\u636e\u5b58\u50a8\u5728\u8868\u683c\u4e2d\u3002\u4e0b\u9762\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u4f7f\u7528Pandas\u5e93\u5c06\u6570\u636e\u5b58\u5165\u8868\u683c\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4e00\u3001Pandas\u5e93<\/strong><\/p>\n<\/p>\n

Pandas\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u4e0e\u5206\u6790\u5e93\uff0c\u652f\u6301\u591a\u79cd\u6570\u636e\u683c\u5f0f\u7684\u8bfb\u5199\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u5c06\u6570\u636e\u5b58\u50a8\u5728CSV\u3001Excel\u7b49\u683c\u5f0f\u7684\u8868\u683c\u4e2d\u3002<\/p>\n<\/p>\n

    \n
  1. \u5b89\u88c5Pandas\u5e93<\/li>\n<\/ol>\n

    \u5728\u4f7f\u7528Pandas\u4e4b\u524d\uff0c\u4f60\u9700\u8981\u5b89\u88c5\u5b83\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5Pandas\u5e93\uff1a<\/p>\n<\/p>\n

    pip install pandas<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u521b\u5efa\u6570\u636e<\/li>\n<\/ol>\n
      \u6211\u4eec\u9700\u8981\u4e00\u4e9b\u6570\u636e\u6765\u5b58\u50a8\u5728\u8868\u683c\u4e2d\u3002\u53ef\u4ee5\u4f7f\u7528Python\u5b57\u5178\u6216\u5217\u8868\u6765\u521b\u5efa\u6570\u636e\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
      import pandas as pd<\/p>\n
      data = {<\/p>\n
          'Name': ['John', 'Anna', 'Peter', 'Linda'],<\/p>\n
          'Age': [28, 24, 35, 32],<\/p>\n
          'City': ['New York', 'Paris', 'Berlin', 'London']<\/p>\n
      }<\/p>\n
      <\/code><\/pre>\n<\/p>\n
        \n
      1. \u521b\u5efaDataFrame<\/li>\n<\/ol>\n
        \u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u4f7f\u7528Pandas\u5e93\u7684DataFrame<\/code>\u7c7b\u5c06\u6570\u636e\u8f6c\u6362\u4e3aDataFrame\u5bf9\u8c61\uff1a<\/p>\n<\/p>\n
        df = pd.DataFrame(data)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
          \n
        1. \u5c06\u6570\u636e\u5b58\u50a8\u5230CSV\u6587\u4ef6<\/li>\n<\/ol>\n
          \u4f7f\u7528to_csv<\/code>\u65b9\u6cd5\u5c06DataFrame\u5bf9\u8c61\u5b58\u50a8\u5230CSV\u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n
          df.to_csv('output.csv', index=False)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u4e0a\u9762\u7684\u4ee3\u7801\u5c06\u6570\u636e\u5b58\u50a8\u5728\u540d\u4e3aoutput.csv<\/code>\u7684\u6587\u4ef6\u4e2d\uff0c\u5e76\u4e14\u4e0d\u5305\u542b\u7d22\u5f15\u3002<\/p>\n<\/p>\n
            \n
          1. \u5c06\u6570\u636e\u5b58\u50a8\u5230Excel\u6587\u4ef6<\/li>\n<\/ol>\n
            \u4f7f\u7528to_excel<\/code>\u65b9\u6cd5\u5c06DataFrame\u5bf9\u8c61\u5b58\u50a8\u5230Excel\u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n
            df.to_excel('output.xlsx', index=False)<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u4e0a\u9762\u7684\u4ee3\u7801\u5c06\u6570\u636e\u5b58\u50a8\u5728\u540d\u4e3aoutput.xlsx<\/code>\u7684Excel\u6587\u4ef6\u4e2d\uff0c\u5e76\u4e14\u4e0d\u5305\u542b\u7d22\u5f15\u3002<\/p>\n<\/p>\n
            \u4e8c\u3001\u4f7f\u7528csv\u6a21\u5757<\/strong><\/p>\n<\/p>\n
            Python\u7684\u5185\u7f6ecsv\u6a21\u5757\u4e5f\u53ef\u4ee5\u7528\u6765\u5c06\u6570\u636e\u5b58\u50a8\u5230CSV\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
              \n
            1. \u5bfc\u5165csv\u6a21\u5757<\/li>\n<\/ol>\n
              \u9996\u5148\u9700\u8981\u5bfc\u5165csv\u6a21\u5757\uff1a<\/p>\n<\/p>\n
              import csv<\/p>\n
              <\/code><\/pre>\n<\/p>\n
                \n
              1. \u521b\u5efa\u6570\u636e<\/li>\n<\/ol>\n
                \u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e9b\u6570\u636e\u6765\u5b58\u50a8\u5728CSV\u6587\u4ef6\u4e2d\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                data = [<\/p>\n
                    ['Name', 'Age', 'City'],<\/p>\n
                    ['John', 28, 'New York'],<\/p>\n
                    ['Anna', 24, 'Paris'],<\/p>\n
                    ['Peter', 35, 'Berlin'],<\/p>\n
                    ['Linda', 32, 'London']<\/p>\n
                ]<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                  \n
                1. \u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6<\/li>\n<\/ol>\n
                  \u4f7f\u7528csv\u6a21\u5757\u7684writer<\/code>\u5bf9\u8c61\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n
                  with open('output.csv', 'w', newline='') as file:<\/p>\n
                      writer = csv.writer(file)<\/p>\n
                      writer.writerows(data)<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u4e0a\u9762\u7684\u4ee3\u7801\u5c06\u6570\u636e\u5b58\u50a8\u5728\u540d\u4e3aoutput.csv<\/code>\u7684\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
                  \u4e09\u3001\u4f7f\u7528openpyxl\u5e93<\/strong><\/p>\n<\/p>\n
                  openpyxl\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u5199Excel\u6587\u4ef6\u7684\u7b2c\u4e09\u65b9\u5e93\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528openpyxl\u5e93\u5c06\u6570\u636e\u5b58\u50a8\u5728Excel\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
                    \n
                  1. \u5b89\u88c5openpyxl\u5e93<\/li>\n<\/ol>\n
                    \u5728\u4f7f\u7528openpyxl\u4e4b\u524d\uff0c\u4f60\u9700\u8981\u5b89\u88c5\u5b83\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5openpyxl\u5e93\uff1a<\/p>\n<\/p>\n
                    pip install openpyxl<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                      \n
                    1. \u5bfc\u5165openpyxl\u6a21\u5757<\/li>\n<\/ol>\n
                      \u5bfc\u5165openpyxl\u6a21\u5757\uff1a<\/p>\n<\/p>\n
                      from openpyxl import Workbook<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                        \n
                      1. \u521b\u5efa\u6570\u636e<\/li>\n<\/ol>\n
                        \u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e9b\u6570\u636e\u6765\u5b58\u50a8\u5728Excel\u6587\u4ef6\u4e2d\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                        data = [<\/p>\n
                            ['Name', 'Age', 'City'],<\/p>\n
                            ['John', 28, 'New York'],<\/p>\n
                            ['Anna', 24, 'Paris'],<\/p>\n
                            ['Peter', 35, 'Berlin'],<\/p>\n
                            ['Linda', 32, 'London']<\/p>\n
                        ]<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                          \n
                        1. \u521b\u5efaWorkbook\u5bf9\u8c61\u548cWorksheet\u5bf9\u8c61<\/li>\n<\/ol>\n
                          \u4f7f\u7528openpyxl\u5e93\u7684Workbook<\/code>\u7c7b\u521b\u5efa\u4e00\u4e2aWorkbook\u5bf9\u8c61\uff0c\u5e76\u6dfb\u52a0\u4e00\u4e2aWorksheet\u5bf9\u8c61\uff1a<\/p>\n<\/p>\n
                          wb = Workbook()<\/p>\n
                          ws = wb.active<\/p>\n
                          <\/code><\/pre>\n<\/p>\n
                            \n
                          1. \u5c06\u6570\u636e\u5199\u5165Excel\u6587\u4ef6<\/li>\n<\/ol>\n
                            \u5c06\u6570\u636e\u5199\u5165Worksheet\u5bf9\u8c61\uff1a<\/p>\n<\/p>\n
                            for row in data:<\/p>\n
                                ws.append(row)<\/p>\n
                            <\/code><\/pre>\n<\/p>\n
                              \n
                            1. \u4fdd\u5b58Excel\u6587\u4ef6<\/li>\n<\/ol>\n
                              \u4f7f\u7528save<\/code>\u65b9\u6cd5\u5c06Workbook\u5bf9\u8c61\u4fdd\u5b58\u4e3aExcel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
                              wb.save('output.xlsx')<\/p>\n
                              <\/code><\/pre>\n<\/p>\n
                              \u4e0a\u9762\u7684\u4ee3\u7801\u5c06\u6570\u636e\u5b58\u50a8\u5728\u540d\u4e3aoutput.xlsx<\/code>\u7684Excel\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
                              \u56db\u3001\u4f7f\u7528sqlite3\u6a21\u5757<\/strong><\/p>\n<\/p>\n
                              Python\u7684\u5185\u7f6esqlite3\u6a21\u5757\u53ef\u4ee5\u7528\u6765\u5c06\u6570\u636e\u5b58\u50a8\u5728SQLite\u6570\u636e\u5e93\u4e2d\u3002<\/p>\n<\/p>\n
                                \n
                              1. \u5bfc\u5165sqlite3\u6a21\u5757<\/li>\n<\/ol>\n
                                \u9996\u5148\u9700\u8981\u5bfc\u5165sqlite3\u6a21\u5757\uff1a<\/p>\n<\/p>\n
                                import sqlite3<\/p>\n
                                <\/code><\/pre>\n<\/p>\n
                                  \n
                                1. \u521b\u5efa\u6570\u636e<\/li>\n<\/ol>\n
                                  \u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e9b\u6570\u636e\u6765\u5b58\u50a8\u5728SQLite\u6570\u636e\u5e93\u4e2d\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                                  data = [<\/p>\n
                                      ('John', 28, 'New York'),<\/p>\n
                                      ('Anna', 24, 'Paris'),<\/p>\n
                                      ('Peter', 35, 'Berlin'),<\/p>\n
                                      ('Linda', 32, 'London')<\/p>\n
                                  ]<\/p>\n
                                  <\/code><\/pre>\n<\/p>\n
                                    \n
                                  1. \u8fde\u63a5\u6570\u636e\u5e93<\/li>\n<\/ol>\n
                                    \u4f7f\u7528sqlite3\u6a21\u5757\u7684connect<\/code>\u51fd\u6570\u8fde\u63a5\u5230SQLite\u6570\u636e\u5e93\u3002\u5982\u679c\u6570\u636e\u5e93\u6587\u4ef6\u4e0d\u5b58\u5728\uff0c\u5b83\u4f1a\u81ea\u52a8\u521b\u5efa\uff1a<\/p>\n<\/p>\n
                                    conn = sqlite3.connect('output.db')<\/p>\n
                                    <\/code><\/pre>\n<\/p>\n
                                      \n
                                    1. \u521b\u5efa\u6e38\u6807\u5bf9\u8c61<\/li>\n<\/ol>\n
                                      \u521b\u5efa\u4e00\u4e2a\u6e38\u6807\u5bf9\u8c61\uff0c\u7528\u4e8e\u6267\u884cSQL\u8bed\u53e5\uff1a<\/p>\n<\/p>\n
                                      cursor = conn.cursor()<\/p>\n
                                      <\/code><\/pre>\n<\/p>\n
                                        \n
                                      1. \u521b\u5efa\u8868<\/li>\n<\/ol>\n
                                        \u4f7f\u7528\u6e38\u6807\u5bf9\u8c61\u7684execute<\/code>\u65b9\u6cd5\u521b\u5efa\u4e00\u4e2a\u8868\uff1a<\/p>\n<\/p>\n
                                        cursor.execute('''<\/p>\n
                                            CREATE TABLE IF NOT EXISTS people (<\/p>\n
                                                name TEXT,<\/p>\n
                                                age INTEGER,<\/p>\n
                                                city TEXT<\/p>\n
                                            )<\/p>\n
                                        ''')<\/p>\n
                                        <\/code><\/pre>\n<\/p>\n
                                          \n
                                        1. \u63d2\u5165\u6570\u636e<\/li>\n<\/ol>\n
                                          \u4f7f\u7528\u6e38\u6807\u5bf9\u8c61\u7684executemany<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u63d2\u5165\u8868\u4e2d\uff1a<\/p>\n<\/p>\n
                                          cursor.executemany('''<\/p>\n
                                              INSERT INTO people (name, age, city)<\/p>\n
                                              VALUES (?, ?, ?)<\/p>\n
                                          ''', data)<\/p>\n
                                          <\/code><\/pre>\n<\/p>\n
                                            \n
                                          1. \u63d0\u4ea4\u66f4\u6539\u5e76\u5173\u95ed\u8fde\u63a5<\/li>\n<\/ol>\n
                                            \u63d0\u4ea4\u66f4\u6539\u5e76\u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5\uff1a<\/p>\n<\/p>\n
                                            conn.commit()<\/p>\n
                                            conn.close()<\/p>\n
                                            <\/code><\/pre>\n<\/p>\n
                                            \u4e0a\u9762\u7684\u4ee3\u7801\u5c06\u6570\u636e\u5b58\u50a8\u5728\u540d\u4e3aoutput.db<\/code>\u7684SQLite\u6570\u636e\u5e93\u4e2d\u3002<\/p>\n<\/p>\n
                                            \u603b\u7ed3<\/strong><\/p>\n<\/p>\n
                                            \u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u4e86\u89e3\u4e86\u4f7f\u7528Pandas\u5e93\u3001csv\u6a21\u5757\u3001openpyxl\u5e93\u548csqlite3\u6a21\u5757\u5c06\u6570\u636e\u5b58\u50a8\u5728\u8868\u683c\u4e2d\u7684\u65b9\u6cd5\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u70b9\u548c\u9002\u7528\u573a\u666f\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u6570\u636e\u5904\u7406\u548c\u5b58\u50a8\u7684\u6548\u7387\u3002<\/p>\n<\/p>\n
                                            \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                                             \u5982\u4f55\u5728Python\u4e2d\u521b\u5efa\u65b0\u7684\u8868\u683c\u4ee5\u5b58\u50a8\u6570\u636e\uff1f<\/strong>
                                            \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u8f7b\u677e\u521b\u5efa\u65b0\u7684\u8868\u683c\u5e76\u5c06\u6570\u636e\u5b58\u5165\u5176\u4e2d\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86pandas\u5e93\u3002\u7136\u540e\uff0c\u4f7f\u7528pd.DataFrame()<\/code>\u51fd\u6570\u521b\u5efa\u4e00\u4e2a\u6570\u636e\u6846\uff0c\u63a5\u7740\u5c06\u6570\u636e\u4ee5\u5b57\u5178\u6216\u6570\u7ec4\u7684\u5f62\u5f0f\u4f20\u5165\uff0c\u6700\u540e\u4f7f\u7528to_csv()<\/code>\u6216to_excel()<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aCSV\u6216Excel\u6587\u4ef6\u683c\u5f0f\u3002<\/p>\n
                                            \u4f7f\u7528Python\u5b58\u50a8\u6570\u636e\u65f6\uff0c\u6709\u54ea\u4e9b\u5e38\u89c1\u7684\u6570\u636e\u683c\u5f0f\uff1f<\/strong>
                                            \u5728Python\u4e2d\uff0c\u5b58\u50a8\u6570\u636e\u7684\u5e38\u89c1\u683c\u5f0f\u5305\u62ecCSV\u3001Excel\u3001JSON\u548cSQL\u6570\u636e\u5e93\u7b49\u3002CSV\u683c\u5f0f\u9002\u5408\u5904\u7406\u7b80\u5355\u7684\u8868\u683c\u6570\u636e\uff0cExcel\u652f\u6301\u66f4\u590d\u6742\u7684\u6570\u636e\u7ed3\u6784\uff0cJSON\u683c\u5f0f\u901a\u5e38\u7528\u4e8e\u5b58\u50a8\u548c\u4ea4\u6362\u6570\u636e\uff0c\u800cSQL\u6570\u636e\u5e93\u5219\u9002\u5408\u5904\u7406\u5927\u91cf\u7ed3\u6784\u5316\u6570\u636e\u5e76\u652f\u6301\u590d\u6742\u67e5\u8be2\u3002<\/p>\n
                                            \u5982\u4f55\u786e\u4fdd\u6570\u636e\u5728\u5b58\u5165\u8868\u683c\u65f6\u7684\u51c6\u786e\u6027\u548c\u5b8c\u6574\u6027\uff1f<\/strong>
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