{"id":942052,"date":"2024-12-26T21:51:19","date_gmt":"2024-12-26T13:51:19","guid":{"rendered":""},"modified":"2024-12-26T21:51:21","modified_gmt":"2024-12-26T13:51:21","slug":"python%e5%a6%82%e4%bd%95%e5%ad%98%e4%b8%badataframe","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/942052.html","title":{"rendered":"python\u5982\u4f55\u5b58\u4e3adataframe"},"content":{"rendered":"

\"python\u5982\u4f55\u5b58\u4e3adataframe\"<\/p>\n

\u5728Python\u4e2d\uff0c\u5b58\u50a8\u6570\u636e\u4e3aDataFrame\u7684\u4e3b\u8981\u65b9\u6cd5\u662f\u4f7f\u7528Pandas\u5e93\uff0c\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4ece\u5b57\u5178\u3001\u5217\u8868\u3001CSV\u6587\u4ef6\u7b49\u521b\u5efaDataFrame\u3002\u4f7f\u7528pd.DataFrame()<\/code>\u3001pd.read_csv()<\/code>\u7b49\u65b9\u6cd5\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u6570\u636e\u7684\u7ed3\u6784\u5316\u5b58\u50a8\u548c\u5904\u7406\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4ece\u5b57\u5178\u521b\u5efaDataFrame\u3002<\/strong><\/p>\n<\/p>\n

\u4f7f\u7528\u5b57\u5178\u521b\u5efaDataFrame\u662f\u4e00\u79cd\u975e\u5e38\u76f4\u89c2\u548c\u5e38\u7528\u7684\u65b9\u6cd5\u3002\u5b57\u5178\u7684\u952e\u4ee3\u8868DataFrame\u7684\u5217\u540d\uff0c\u5b57\u5178\u7684\u503c\u53ef\u4ee5\u662f\u5217\u8868\u6216\u5176\u4ed6\u53ef\u8fed\u4ee3\u5bf9\u8c61\uff0c\u8868\u793a\u6bcf\u4e00\u5217\u7684\u6570\u636e\u3002\u4f8b\u5982\uff0c\u5047\u8bbe\u4f60\u6709\u4e00\u4e2a\u5b58\u50a8\u5b66\u751f\u4fe1\u606f\u7684\u5b57\u5178\uff0c\u5305\u62ec\u59d3\u540d\u3001\u5e74\u9f84\u548c\u6210\u7ee9\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame\uff1a<\/p>\n<\/p>\n

import pandas as pd<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u5b57\u5178<\/strong><\/h2>\n
data = {<\/p>\n
    'Name': ['Alice', 'Bob', 'Charlie'],<\/p>\n
    'Age': [25, 30, 35],<\/p>\n
    'Score': [85, 90, 95]<\/p>\n
}<\/p>\n
\u5c06\u5b57\u5178\u8f6c\u6362\u4e3aDataFrame<\/strong><\/h2>\n
df = pd.DataFrame(data)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u6bb5\u4ee3\u7801\u5c06\u8f93\u51fa\u4e00\u4e2aDataFrame\uff0c\u5176\u4e2d\u5305\u542b\u4e09\u5217\u6570\u636e\uff1aName\u3001Age\u548cScore\u3002\u4e0b\u9762\u5c06\u6df1\u5165\u63a2\u8ba8Python\u4e2d\u5982\u4f55\u4ee5\u4e0d\u540c\u65b9\u5f0f\u5b58\u50a8\u6570\u636e\u4e3aDataFrame\u3002<\/p>\n<\/p>\n
\u4e00\u3001\u4f7f\u7528Pandas\u5e93\u521b\u5efaDataFrame<\/p>\n<\/p>\n
    \n
  1. \n
    \u4ece\u5b57\u5178\u521b\u5efaDataFrame<\/strong><\/p>\n<\/p>\n
    \u4f7f\u7528\u5b57\u5178\u521b\u5efaDataFrame\u662fPandas\u5e93\u4e2d\u6700\u57fa\u7840\u7684\u65b9\u6cd5\u4e4b\u4e00\u3002\u5b57\u5178\u7684\u952e\u4f5c\u4e3aDataFrame\u7684\u5217\u540d\uff0c\u503c\u4e3a\u5217\u8868\u6216\u5176\u4ed6\u53ef\u8fed\u4ee3\u5bf9\u8c61\u3002<\/p>\n<\/p>\n
    import pandas as pd<\/p>\n
    \u521b\u5efa\u6570\u636e\u5b57\u5178<\/strong><\/h2>\n
    data = {<\/p>\n
        'Name': ['Alice', 'Bob', 'Charlie'],<\/p>\n
        'Age': [25, 30, 35],<\/p>\n
        'Score': [85, 90, 95]<\/p>\n
    }<\/p>\n
    \u4f7f\u7528DataFrame\u51fd\u6570\u5c06\u5b57\u5178\u8f6c\u6362\u4e3aDataFrame<\/strong><\/h2>\n
    df = pd.DataFrame(data)<\/p>\n
    print(df)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u5b57\u5178\u4e2d\u4f7f\u7528\u5d4c\u5957\u5b57\u5178<\/strong>\uff0c\u53ef\u4ee5\u521b\u5efa\u5206\u5c42\u7d22\u5f15\u7684DataFrame\uff1a<\/p>\n<\/p>\n
    nested_data = {<\/p>\n
        'Class1': {'Name': 'Alice', 'Score': 85},<\/p>\n
        'Class2': {'Name': 'Bob', 'Score': 90},<\/p>\n
        'Class3': {'Name': 'Charlie', 'Score': 95}<\/p>\n
    }<\/p>\n
    nested_df = pd.DataFrame(nested_data)<\/p>\n
    print(nested_df)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u79cd\u65b9\u5f0f\u521b\u5efa\u7684DataFrame\u5c06\u5177\u6709\u591a\u7ea7\u7d22\u5f15\u7ed3\u6784\uff0c\u975e\u5e38\u9002\u5408\u5904\u7406\u590d\u6742\u7684\u6570\u636e\u96c6\u3002<\/p>\n<\/p>\n<\/li>\n
  2. \n
    \u4ece\u5217\u8868\u521b\u5efaDataFrame<\/strong><\/p>\n<\/p>\n
    \u5982\u679c\u4f60\u7684\u6570\u636e\u662f\u4ee5\u5217\u8868\u7684\u5f62\u5f0f\u5b58\u50a8\u7684\uff0c\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528\u5217\u8868\u521b\u5efaDataFrame\u3002\u6bcf\u4e2a\u5b50\u5217\u8868\u4ee3\u8868DataFrame\u7684\u4e00\u884c\u3002<\/p>\n<\/p>\n
    data = [<\/p>\n
        ['Alice', 25, 85],<\/p>\n
        ['Bob', 30, 90],<\/p>\n
        ['Charlie', 35, 95]<\/p>\n
    ]<\/p>\n
    df = pd.DataFrame(data, columns=['Name', 'Age', 'Score'])<\/p>\n
    print(df)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4f7f\u7528\u5d4c\u5957\u5217\u8868<\/strong>\uff0c\u53ef\u4ee5\u8f7b\u677e\u521b\u5efa\u591a\u7ef4\u6570\u636e\u7ed3\u6784\uff1a<\/p>\n<\/p>\n
    data = [<\/p>\n
        ['Alice', [25, 'A']],<\/p>\n
        ['Bob', [30, 'B']],<\/p>\n
        ['Charlie', [35, 'C']]<\/p>\n
    ]<\/p>\n
    df = pd.DataFrame(data, columns=['Name', 'DetAI<\/a>ls'])<\/p>\n
    print(df)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u79cd\u65b9\u6cd5\u5141\u8bb8\u4f60\u5728DataFrame\u4e2d\u5d4c\u5165\u66f4\u590d\u6742\u7684\u6570\u636e\u7ed3\u6784\uff0c\u4fbf\u4e8e\u8fdb\u4e00\u6b65\u7684\u6570\u636e\u5206\u6790\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4e8c\u3001\u4ece\u5916\u90e8\u6570\u636e\u6e90\u521b\u5efaDataFrame<\/p>\n<\/p>\n
      \n
    1. \n
      \u4eceCSV\u6587\u4ef6\u521b\u5efaDataFrame<\/strong><\/p>\n<\/p>\n
      \u4f7f\u7528Pandas\u7684read_csv<\/code>\u51fd\u6570\u53ef\u4ee5\u8f7b\u677e\u5c06CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u8bfb\u53d6\u5230DataFrame\u4e2d\u3002\u8fd9\u662f\u5904\u7406\u6570\u636e\u7684\u5e38\u7528\u65b9\u6cd5\uff0c\u5c24\u5176\u662f\u5f53\u6570\u636e\u5b58\u50a8\u5728\u8868\u683c\u6587\u4ef6\u4e2d\u65f6\u3002<\/p>\n<\/p>\n
      df = pd.read_csv('data.csv')<\/p>\n
      print(df)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u53ef\u4ee5\u6307\u5b9a\u5206\u9694\u7b26\u548c\u7f16\u7801<\/strong>\uff0c\u4ece\u800c\u589e\u5f3a\u6570\u636e\u7684\u8bfb\u53d6\u80fd\u529b\uff1a<\/p>\n<\/p>\n
      df = pd.read_csv('data.csv', delimiter=';', encoding='utf-8')<\/p>\n
      print(df)<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n
    2. \n
      \u4eceExcel\u6587\u4ef6\u521b\u5efaDataFrame<\/strong><\/p>\n<\/p>\n
      \u4f7f\u7528read_excel<\/code>\u51fd\u6570\u53ef\u4ee5\u5c06Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u8bfb\u53d6\u5230DataFrame\u4e2d\u3002Pandas\u652f\u6301\u591a\u79cdExcel\u683c\u5f0f\uff0c\u5305\u62ecxls\u548cxlsx\u3002<\/p>\n<\/p>\n
      df = pd.read_excel('data.xlsx', sheet_name='Sheet1')<\/p>\n
      print(df)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u53ef\u4ee5\u6307\u5b9a\u9700\u8981\u8bfb\u53d6\u7684\u5de5\u4f5c\u8868\u540d\u79f0<\/strong>\uff1a<\/p>\n<\/p>\n
      df = pd.read_excel('data.xlsx', sheet_name=['Sheet1', 'Sheet2'])<\/p>\n
      print(df)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u8fd9\u79cd\u65b9\u5f0f\u7279\u522b\u9002\u5408\u5904\u7406\u5305\u542b\u591a\u4e2a\u5de5\u4f5c\u8868\u7684\u590d\u6742Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e09\u3001\u4eceSQL\u6570\u636e\u5e93\u521b\u5efaDataFrame<\/p>\n<\/p>\n
        \n
      1. \n
        \u4f7f\u7528SQLAlchemy\u8fde\u63a5\u6570\u636e\u5e93<\/strong><\/p>\n<\/p>\n
        SQLAlchemy\u662f\u4e00\u4e2a\u5f3a\u5927\u7684SQL\u5de5\u5177\uff0c\u53ef\u4ee5\u4e0ePandas\u7ed3\u5408\u4f7f\u7528\uff0c\u5c06\u6570\u636e\u5e93\u4e2d\u7684\u6570\u636e\u76f4\u63a5\u52a0\u8f7d\u5230DataFrame\u3002<\/p>\n<\/p>\n
        from sqlalchemy import create_engine<\/p>\n
        import pandas as pd<\/p>\n
        \u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5<\/strong><\/h2>\n
        engine = create_engine('sqlite:\/\/\/mydatabase.db')<\/p>\n
        \u67e5\u8be2\u6570\u636e\u5e76\u8f6c\u6362\u4e3aDataFrame<\/strong><\/h2>\n
        df = pd.read_sql('SELECT * FROM my_table', con=engine)<\/p>\n
        print(df)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u4f7f\u7528SQLAlchemy\u7684\u8fde\u63a5\u5b57\u7b26\u4e32<\/strong>\uff0c\u53ef\u4ee5\u8fde\u63a5\u591a\u79cd\u6570\u636e\u5e93\uff1a<\/p>\n<\/p>\n
        engine = create_engine('postgresql:\/\/username:password@localhost\/mydatabase')<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      2. \n
        \u4ece\u6570\u636e\u5e93\u8bfb\u53d6\u7279\u5b9a\u6570\u636e<\/strong><\/p>\n<\/p>\n
        \u53ef\u4ee5\u901a\u8fc7SQL\u67e5\u8be2\u6307\u5b9a\u9700\u8981\u8bfb\u53d6\u7684\u6570\u636e\uff0c\u4ece\u800c\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u3002<\/p>\n<\/p>\n
        query = 'SELECT Name, Age FROM my_table WHERE Age > 30'<\/p>\n
        df = pd.read_sql(query, con=engine)<\/p>\n
        print(df)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u4f7f\u7528\u53c2\u6570\u5316\u67e5\u8be2<\/strong>\uff0c\u53ef\u4ee5\u52a8\u6001\u751f\u6210SQL\u8bed\u53e5\uff1a<\/p>\n<\/p>\n
        age_threshold = 30<\/p>\n
        query = 'SELECT Name, Age FROM my_table WHERE Age > :age_threshold'<\/p>\n
        df = pd.read_sql(query, con=engine, params={'age_threshold': age_threshold})<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
        \u56db\u3001\u4ece\u5176\u4ed6\u683c\u5f0f\u521b\u5efaDataFrame<\/p>\n<\/p>\n
          \n
        1. \n
          \u4eceJSON\u6587\u4ef6\u521b\u5efaDataFrame<\/strong><\/p>\n<\/p>\n
          JSON\u683c\u5f0f\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u6570\u636e\u4ea4\u6362\u683c\u5f0f\uff0cPandas\u63d0\u4f9b\u4e86read_json<\/code>\u51fd\u6570\u7528\u4e8e\u8bfb\u53d6JSON\u6570\u636e\u3002<\/p>\n<\/p>\n
          df = pd.read_json('data.json')<\/p>\n
          print(df)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u53ef\u4ee5\u6307\u5b9aJSON\u6570\u636e\u7684\u683c\u5f0f<\/strong>\uff0c\u4f8b\u5982\u8bb0\u5f55\u683c\u5f0f\u6216\u5217\u683c\u5f0f\uff1a<\/p>\n<\/p>\n
          df = pd.read_json('data.json', orient='records')<\/p>\n
          print(df)<\/p>\n
          <\/code><\/pre>\n<\/p>\n<\/li>\n
        2. \n
          \u4eceHTML\u8868\u683c\u521b\u5efaDataFrame<\/strong><\/p>\n<\/p>\n
          Pandas\u63d0\u4f9b\u4e86read_html<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u4eceHTML\u6587\u4ef6\u4e2d\u63d0\u53d6\u8868\u683c\u6570\u636e\u3002<\/p>\n<\/p>\n
          url = 'https:\/\/example.com\/table.html'<\/p>\n
          dfs = pd.read_html(url)<\/p>\n
          \u6253\u5370\u7b2c\u4e00\u4e2a\u8868\u683c<\/strong><\/h2>\n
          print(dfs[0])<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u53ef\u4ee5\u6307\u5b9a\u9700\u8981\u63d0\u53d6\u7684\u8868\u683c\u7d22\u5f15<\/strong>\uff1a<\/p>\n<\/p>\n
          df = pd.read_html(url, attrs={'class': 'data-table'})[0]<\/p>\n
          print(df)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u9002\u5408\u4ece\u7f51\u9875\u4e2d\u63d0\u53d6\u6570\u636e\u8fdb\u884c\u5206\u6790\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
          \u4e94\u3001DataFrame\u7684\u5b58\u50a8\u4e0e\u8f93\u51fa<\/p>\n<\/p>\n
            \n
          1. \n
            \u5c06DataFrame\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6<\/strong><\/p>\n<\/p>\n
            \u4f7f\u7528to_csv<\/code>\u51fd\u6570\u53ef\u4ee5\u5c06DataFrame\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff0c\u4fbf\u4e8e\u5b58\u50a8\u548c\u5171\u4eab\u3002<\/p>\n<\/p>\n
            df.to_csv('output.csv', index=False)<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u53ef\u4ee5\u6307\u5b9a\u5206\u9694\u7b26\u548c\u7f16\u7801<\/strong>\uff1a<\/p>\n<\/p>\n
            df.to_csv('output.csv', sep=';', encoding='utf-8', index=False)<\/p>\n
            <\/code><\/pre>\n<\/p>\n<\/li>\n
          2. \n
            \u5c06DataFrame\u4fdd\u5b58\u4e3aExcel\u6587\u4ef6<\/strong><\/p>\n<\/p>\n
            \u4f7f\u7528to_excel<\/code>\u51fd\u6570\u53ef\u4ee5\u5c06DataFrame\u4fdd\u5b58\u4e3aExcel\u6587\u4ef6\uff0c\u4fbf\u4e8e\u8fdb\u4e00\u6b65\u7684\u8868\u683c\u5904\u7406\u3002<\/p>\n<\/p>\n
            df.to_excel('output.xlsx', sheet_name='Sheet1', index=False)<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u53ef\u4ee5\u6307\u5b9a\u591a\u4e2a\u5de5\u4f5c\u8868<\/strong>\uff1a<\/p>\n<\/p>\n
            with pd.ExcelWriter('output.xlsx') as writer:<\/p>\n
                df.to_excel(writer, sheet_name='Sheet1')<\/p>\n
                df.to_excel(writer, sheet_name='Sheet2')<\/p>\n
            <\/code><\/pre>\n<\/p>\n<\/li>\n
          3. \n
            \u5c06DataFrame\u4fdd\u5b58\u4e3aSQL\u6570\u636e\u5e93<\/strong><\/p>\n<\/p>\n
            \u4f7f\u7528to_sql<\/code>\u51fd\u6570\u53ef\u4ee5\u5c06DataFrame\u4fdd\u5b58\u5230SQL\u6570\u636e\u5e93\u4e2d\uff0c\u4fbf\u4e8e\u957f\u671f\u5b58\u50a8\u548c\u67e5\u8be2\u3002<\/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
            \u53ef\u4ee5\u9009\u62e9\u4e0d\u540c\u7684\u6570\u636e\u5e93\u548c\u8868\u64cd\u4f5c\u6a21\u5f0f<\/strong>\uff1a<\/p>\n<\/p>\n
            df.to_sql('my_table', con=engine, if_exists='append', index=False)<\/p>\n
            <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
            \u7efc\u4e0a\u6240\u8ff0\uff0cPython\u4e2d\u4f7f\u7528Pandas\u5e93\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u521b\u5efa\u548c\u5b58\u50a8DataFrame\uff0c\u4e0d\u4ec5\u652f\u6301\u4ece\u672c\u5730\u6570\u636e\u521b\u5efa\uff0c\u8fd8\u652f\u6301\u4ece\u5916\u90e8\u6570\u636e\u6e90\u8bfb\u53d6\u5e76\u8f6c\u6362\u4e3aDataFrame\u3002\u8fd9\u4e9b\u529f\u80fd\u4f7f\u5f97Pandas\u6210\u4e3a\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u7684\u5f3a\u5927\u5de5\u5177\u3002\u901a\u8fc7\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u7528\u6237\u53ef\u4ee5\u9ad8\u6548\u5730\u7ba1\u7406\u548c\u5206\u6790\u6570\u636e\uff0c\u6ee1\u8db3\u5404\u79cd\u6570\u636e\u5904\u7406\u9700\u6c42\u3002<\/p>\n<\/p>\n
            \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
             \u5982\u4f55\u5c06Python\u4e2d\u7684\u5217\u8868\u8f6c\u6362\u4e3aDataFrame\uff1f<\/strong>
            \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u5c06\u5217\u8868\u8f6c\u6362\u4e3aDataFrame\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86pandas\u5e93\u3002\u63a5\u7740\uff0c\u4f7f\u7528pd.DataFrame()<\/code>\u51fd\u6570\uff0c\u5e76\u5c06\u5217\u8868\u4f5c\u4e3a\u53c2\u6570\u4f20\u5165\u3002\u4f8b\u5982\uff0c\u5047\u8bbe\u6709\u4e00\u4e2a\u5217\u8868data = [[1, 'Alice'], [2, 'Bob']]<\/code>\uff0c\u53ef\u4ee5\u901a\u8fc7df = pd.DataFrame(data, columns=['ID', 'Name'])<\/code>\u6765\u521b\u5efa\u4e00\u4e2aDataFrame\uff0cID\u548cName\u4e3a\u5217\u540d\u3002<\/p>\n
            \u5728Python\u4e2d\uff0c\u5982\u4f55\u4eceCSV\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5230DataFrame\uff1f<\/strong>
            \u4f7f\u7528pandas\u5e93\u53ef\u4ee5\u8f7b\u677e\u5730\u4eceCSV\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u3002\u901a\u8fc7pd.read_csv('filename.csv')<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u5c06CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u52a0\u8f7d\u5230DataFrame\u4e2d\u3002\u786e\u4fdd\u6587\u4ef6\u8def\u5f84\u6b63\u786e\uff0c\u5e76\u4e14\u6587\u4ef6\u5b58\u5728\u3002\u8bfb\u53d6\u540e\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7df.head()<\/code>\u67e5\u770b\u6570\u636e\u7684\u524d\u51e0\u884c\uff0c\u4ee5\u786e\u8ba4\u6570\u636e\u662f\u5426\u6210\u529f\u52a0\u8f7d\u3002<\/p>\n
            \u5982\u4f55\u5c06DataFrame\u4fdd\u5b58\u4e3aExcel\u6587\u4ef6\uff1f<\/strong>
            \u8981\u5c06DataFrame\u4fdd\u5b58\u4e3aExcel\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u4e2d\u7684to_excel()<\/code>\u65b9\u6cd5\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86openpyxl<\/code>\u6216xlsxwriter<\/code>\u5e93\u3002\u7136\u540e\uff0c\u4f7f\u7528df.to_excel('output.xlsx', index=False)<\/code>\u6765\u4fdd\u5b58DataFrame\uff0c\u5176\u4e2dindex=False<\/code>\u8868\u793a\u4e0d\u5c06\u884c\u7d22\u5f15\u5199\u5165\u6587\u4ef6\u3002\u8fd9\u6837\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u6570\u636e\u5206\u4eab\u7ed9\u5176\u4ed6\u4eba\u6216\u5728\u4e0d\u540c\u7684\u5e94\u7528\u7a0b\u5e8f\u4e2d\u4f7f\u7528\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u5b58\u50a8\u6570\u636e\u4e3aDataFrame\u7684\u4e3b\u8981\u65b9\u6cd5\u662f\u4f7f\u7528Pandas\u5e93\uff0c\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4ece\u5b57\u5178\u3001\u5217\u8868\u3001CS […]","protected":false},"author":3,"featured_media":942054,"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\/942052"}],"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=942052"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/942052\/revisions"}],"predecessor-version":[{"id":942055,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/942052\/revisions\/942055"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/942054"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=942052"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=942052"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=942052"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}