{"id":1008774,"date":"2024-12-27T11:05:46","date_gmt":"2024-12-27T03:05:46","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1008774.html"},"modified":"2024-12-27T11:05:48","modified_gmt":"2024-12-27T03:05:48","slug":"python%e5%a6%82%e4%bd%95%e8%af%bbexcel%e5%86%85%e5%ae%b9","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1008774.html","title":{"rendered":"python\u5982\u4f55\u8bfbexcel\u5185\u5bb9"},"content":{"rendered":"

\"python\u5982\u4f55\u8bfbexcel\u5185\u5bb9\"<\/p>\n

\u4e00\u3001PYTHON \u8bfb\u53d6 EXCEL \u5185\u5bb9\u7684\u65b9\u6cd5<\/p>\n<\/p>\n

Python \u8bfb\u53d6 Excel \u5185\u5bb9\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528 Pandas \u5e93\u3001Openpyxl \u5e93\u3001xlrd \u5e93\u7b49\u3002\u5728\u8fd9\u4e9b\u65b9\u6cd5\u4e2d\uff0cPandas \u662f\u6700\u5e38\u7528\u7684\uff0c\u56e0\u4e3a\u5b83\u4e0d\u4ec5\u80fd\u8bfb\u53d6\u6570\u636e\uff0c\u8fd8\u80fd\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528 Pandas \u5e93\u8bfb\u53d6 Excel \u6587\u4ef6\u662f\u6700\u7b80\u4fbf\u548c\u9ad8\u6548\u7684\u65b9\u5f0f\uff0c\u5c24\u5176\u9002\u5408\u6570\u636e\u5206\u6790\u7684\u4efb\u52a1\u3002Pandas \u63d0\u4f9b\u4e86 read_excel()<\/code> \u51fd\u6570\uff0c\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6 Excel \u6587\u4ef6\u7684\u5185\u5bb9\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a Pandas DataFrame \u5f62\u5f0f\uff0c\u4fbf\u4e8e\u540e\u7eed\u7684\u6570\u636e\u64cd\u4f5c\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n

\u5728\u4f7f\u7528 Pandas \u8bfb\u53d6 Excel \u6587\u4ef6\u65f6\uff0c\u53ea\u9700\u6307\u5b9a\u6587\u4ef6\u8def\u5f84\u548c\u5de5\u4f5c\u8868\u540d\u79f0\u5373\u53ef\u3002Pandas \u652f\u6301\u8bfb\u53d6 Excel \u6587\u4ef6\u7684\u591a\u79cd\u683c\u5f0f\uff0c\u5305\u62ec .xls \u548c .xlsx\u3002\u8bfb\u53d6\u540e\u7684 DataFrame \u5bf9\u8c61\u53ef\u4ee5\u901a\u8fc7\u5217\u540d\u3001\u884c\u53f7\u7b49\u8fdb\u884c\u8bbf\u95ee\u548c\u5904\u7406\u3002\u6b64\u5916\uff0cPandas \u8fd8\u652f\u6301\u5c06 DataFrame \u5199\u56de\u5230 Excel \u6587\u4ef6\uff0c\u8fd9\u5bf9\u4e8e\u6570\u636e\u5206\u6790\u540e\u7684\u7ed3\u679c\u8f93\u51fa\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n

\u4e8c\u3001PANDAS \u5e93\u8bfb\u53d6 EXCEL \u6587\u4ef6<\/p>\n<\/p>\n

Pandas \u662f Python \u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u5e93\uff0c\u4f7f\u7528 Pandas \u8bfb\u53d6 Excel \u6587\u4ef6\u975e\u5e38\u7b80\u5355\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528 Pandas \u8bfb\u53d6 Excel \u5185\u5bb9\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n

    \n
  1. \n

    \u5b89\u88c5 Pandas \u548c Openpyxl<\/strong><\/p>\n<\/p>\n

    \u5728\u4f7f\u7528 Pandas \u8bfb\u53d6 Excel \u6587\u4ef6\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fdd\u5df2\u5b89\u88c5 Pandas \u548c Openpyxl\uff08\u5982\u679c\u8bfb\u53d6 .xlsx \u6587\u4ef6\uff09\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

    pip install pandas openpyxl<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n
  2. \n
    \u8bfb\u53d6 Excel \u6587\u4ef6<\/strong><\/p>\n<\/p>\n
    \u4f7f\u7528 Pandas \u7684 read_excel()<\/code> \u51fd\u6570\u53ef\u4ee5\u8bfb\u53d6 Excel \u6587\u4ef6\u3002\u9700\u8981\u6307\u5b9a\u6587\u4ef6\u8def\u5f84\u548c\u5de5\u4f5c\u8868\u540d\u79f0\uff1a<\/p>\n<\/p>\n
    import pandas as pd<\/p>\n
    \u8bfb\u53d6 Excel \u6587\u4ef6<\/strong><\/h2>\n
    df = pd.read_excel('example.xlsx', sheet_name='Sheet1')<\/p>\n
    \u663e\u793a\u524d\u51e0\u884c\u6570\u636e<\/strong><\/h2>\n
    print(df.head())<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u91cc\u7684 sheet_name<\/code> \u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u8981\u8bfb\u53d6\u7684\u5de5\u4f5c\u8868\uff0c\u5982\u679c\u4e0d\u6307\u5b9a\uff0c\u9ed8\u8ba4\u8bfb\u53d6\u7b2c\u4e00\u4e2a\u5de5\u4f5c\u8868\u3002<\/p>\n<\/p>\n<\/li>\n
  3. \n
    \u8bbf\u95ee\u548c\u5904\u7406\u6570\u636e<\/strong><\/p>\n<\/p>\n
    \u8bfb\u53d6\u540e\u7684\u6570\u636e\u5b58\u50a8\u5728 DataFrame \u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u5217\u540d\u548c\u884c\u53f7\u8bbf\u95ee\u6570\u636e\uff0c\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
    # \u8bbf\u95ee\u67d0\u4e00\u5217<\/p>\n
    column_data = df['ColumnName']<\/p>\n
    \u8bbf\u95ee\u67d0\u4e00\u884c<\/strong><\/h2>\n
    row_data = df.loc[0]<\/p>\n
    \u6570\u636e\u5904\u7406<\/strong><\/h2>\n
    df['NewColumn'] = df['ColumnName'] * 2  # \u6dfb\u52a0\u65b0\u5217<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    Pandas \u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\uff0c\u53ef\u4ee5\u5bf9\u6570\u636e\u8fdb\u884c\u7b5b\u9009\u3001\u805a\u5408\u3001\u53d8\u6362\u7b49\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4e09\u3001OPENPYXL \u5e93\u8bfb\u53d6 EXCEL \u6587\u4ef6<\/p>\n<\/p>\n
    Openpyxl \u662f\u4e13\u95e8\u7528\u4e8e\u5904\u7406 Excel \u6587\u4ef6\u7684 Python \u5e93\uff0c\u5c24\u5176\u9002\u5408\u9700\u8981\u5bf9 Excel \u6587\u4ef6\u8fdb\u884c\u590d\u6742\u64cd\u4f5c\u7684\u573a\u666f\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528 Openpyxl \u8bfb\u53d6 Excel \u6587\u4ef6\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
      \n
    1. \n
      \u5b89\u88c5 Openpyxl<\/strong><\/p>\n<\/p>\n
      \u9996\u5148\u786e\u4fdd\u5b89\u88c5\u4e86 Openpyxl\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
      pip install openpyxl<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n
    2. \n
      \u8bfb\u53d6 Excel \u6587\u4ef6<\/strong><\/p>\n<\/p>\n
      \u4f7f\u7528 Openpyxl \u53ef\u4ee5\u8bfb\u53d6 Excel \u6587\u4ef6\u7684\u5185\u5bb9\uff0c\u5305\u62ec\u5355\u5143\u683c\u7684\u503c\u548c\u683c\u5f0f\uff1a<\/p>\n<\/p>\n
      from openpyxl import load_workbook<\/p>\n
      \u52a0\u8f7d Excel \u6587\u4ef6<\/strong><\/h2>\n
      workbook = load_workbook(filename='example.xlsx')<\/p>\n
      \u9009\u62e9\u5de5\u4f5c\u8868<\/strong><\/h2>\n
      sheet = workbook['Sheet1']<\/p>\n
      \u8bfb\u53d6\u5355\u5143\u683c\u7684\u503c<\/strong><\/h2>\n
      for row in sheet.iter_rows(min_row=1, max_row=5, values_only=True):<\/p>\n
          print(row)<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n
    3. \n
      \u64cd\u4f5c Excel \u6587\u4ef6<\/strong><\/p>\n<\/p>\n
      Openpyxl \u4e0d\u4ec5\u53ef\u4ee5\u8bfb\u53d6\uff0c\u8fd8\u53ef\u4ee5\u4fee\u6539\u548c\u4fdd\u5b58 Excel \u6587\u4ef6\uff0c\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
      # \u4fee\u6539\u5355\u5143\u683c\u7684\u503c<\/p>\n
      sheet['A1'] = 'New Value'<\/p>\n
      \u4fdd\u5b58\u66f4\u6539<\/strong><\/h2>\n
      workbook.save('example_modified.xlsx')<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      Openpyxl \u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684 API\uff0c\u53ef\u4ee5\u5bf9 Excel \u6587\u4ef6\u8fdb\u884c\u5404\u79cd\u64cd\u4f5c\uff0c\u5982\u683c\u5f0f\u5316\u5355\u5143\u683c\u3001\u63d2\u5165\u56fe\u8868\u7b49\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
      \u56db\u3001XLRD \u5e93\u8bfb\u53d6 EXCEL \u6587\u4ef6<\/p>\n<\/p>\n
      Xlrd \u662f\u4e00\u4e2a\u8f83\u8001\u7684\u5e93\uff0c\u7528\u4e8e\u8bfb\u53d6 Excel \u6587\u4ef6\uff0c\u4e3b\u8981\u652f\u6301 .xls \u683c\u5f0f\u3002\u867d\u7136\u5176\u529f\u80fd\u76f8\u5bf9\u8f83\u5c11\uff0c\u4f46\u5728\u5904\u7406\u65e7\u683c\u5f0f\u7684 Excel \u6587\u4ef6\u65f6\u4ecd\u7136\u6709\u7528\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528 Xlrd \u8bfb\u53d6 Excel \u6587\u4ef6\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
        \n
      1. \n
        \u5b89\u88c5 Xlrd<\/strong><\/p>\n<\/p>\n
        \u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5 Xlrd\uff1a<\/p>\n<\/p>\n
        pip install xlrd<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      2. \n
        \u8bfb\u53d6 Excel \u6587\u4ef6<\/strong><\/p>\n<\/p>\n
        \u4f7f\u7528 Xlrd \u8bfb\u53d6 Excel \u6587\u4ef6\u7684\u57fa\u672c\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
        import xlrd<\/p>\n
        \u6253\u5f00 Excel \u6587\u4ef6<\/strong><\/h2>\n
        workbook = xlrd.open_workbook('example.xls')<\/p>\n
        \u9009\u62e9\u5de5\u4f5c\u8868<\/strong><\/h2>\n
        sheet = workbook.sheet_by_name('Sheet1')<\/p>\n
        \u8bfb\u53d6\u5355\u5143\u683c\u7684\u503c<\/strong><\/h2>\n
        for row_idx in range(sheet.nrows):<\/p>\n
            row = sheet.row(row_idx)<\/p>\n
            print([cell.value for cell in row])<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      3. \n
        \u8bbf\u95ee\u5355\u5143\u683c<\/strong><\/p>\n<\/p>\n
        Xlrd \u63d0\u4f9b\u4e86\u4e00\u4e9b\u57fa\u672c\u529f\u80fd\u6765\u8bbf\u95ee\u5355\u5143\u683c\u7684\u503c\u548c\u5c5e\u6027\uff0c\u4f46\u4e0d\u652f\u6301\u4fee\u6539 Excel \u6587\u4ef6\uff1a<\/p>\n<\/p>\n
        # \u8bbf\u95ee\u5355\u5143\u683c<\/p>\n
        cell_value = sheet.cell_value(rowx=0, colx=0)<\/p>\n
        \u83b7\u53d6\u884c\u6570\u548c\u5217\u6570<\/strong><\/h2>\n
        num_rows = sheet.nrows<\/p>\n
        num_cols = sheet.ncols<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
        \u4e94\u3001\u603b\u7ed3<\/p>\n<\/p>\n
        \u5728 Python \u4e2d\uff0c\u8bfb\u53d6 Excel \u6587\u4ef6\u6709\u591a\u79cd\u65b9\u6cd5\u53ef\u4f9b\u9009\u62e9\u3002Pandas \u662f\u8bfb\u53d6\u548c\u5904\u7406 Excel \u6570\u636e\u7684\u9996\u9009\u5de5\u5177\uff0c\u9002\u5408\u9700\u8981\u8fdb\u884c\u590d\u6742\u6570\u636e\u5206\u6790\u7684\u4efb\u52a1\u3002<\/strong>Openpyxl \u5219\u9002\u5408\u9700\u8981\u5bf9 Excel \u6587\u4ef6\u8fdb\u884c\u590d\u6742\u64cd\u4f5c\u7684\u573a\u666f\uff0c\u5982\u683c\u5f0f\u5316\u3001\u56fe\u8868\u7b49\u3002Xlrd \u9002\u7528\u4e8e\u8bfb\u53d6\u65e7\u683c\u5f0f\u7684 Excel \u6587\u4ef6\u3002<\/p>\n<\/p>\n
        \u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\uff0c\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u76f8\u5e94\u7684\u5e93\u8fdb\u884c\u64cd\u4f5c\u3002\u5728\u4f7f\u7528\u8fd9\u4e9b\u5de5\u5177\u65f6\uff0c\u52a1\u5fc5\u6ce8\u610f\u6587\u4ef6\u683c\u5f0f\u548c\u5e93\u7684\u517c\u5bb9\u6027\uff0c\u4ee5\u786e\u4fdd\u6570\u636e\u8bfb\u53d6\u7684\u51c6\u786e\u6027\u548c\u5b8c\u6574\u6027\u3002<\/p>\n<\/p>\n
        \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
         \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6Excel\u6587\u4ef6\u7684\u5185\u5bb9\uff1f<\/strong>
        \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5e93\u6765\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u6700\u5e38\u7528\u7684\u662fpandas<\/code>\u548copenpyxl<\/code>\u3002\u4f7f\u7528pandas<\/code>\u8bfb\u53d6Excel\u6587\u4ef6\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u5b89\u88c5\u5e93\u5e76\u4f7f\u7528read_excel<\/code>\u51fd\u6570\u3002\u4f8b\u5982\uff1a  <\/p>\n
        import pandas as pd  \ndata = pd.read_excel('\u6587\u4ef6\u8def\u5f84.xlsx')  \nprint(data)\n<\/code><\/pre>\n
        openpyxl<\/code>\u4e5f\u9002\u7528\u4e8e\u5904\u7406Excel\u6587\u4ef6\uff0c\u9002\u5408\u9700\u8981\u5bf9\u6587\u4ef6\u8fdb\u884c\u66f4\u590d\u6742\u64cd\u4f5c\u7684\u573a\u666f\u3002<\/p>\n
        \u53ef\u4ee5\u4f7f\u7528\u54ea\u4e9bPython\u5e93\u6765\u5904\u7406Excel\u6587\u4ef6\uff1f<\/strong>
        \u6709\u51e0\u79cd\u6d41\u884c\u7684\u5e93\u53ef\u4ee5\u5e2e\u52a9\u4f60\u5728Python\u4e2d\u5904\u7406Excel\u6587\u4ef6\u3002pandas<\/code>\u662f\u6570\u636e\u5206\u6790\u7684\u5f3a\u5927\u5de5\u5177\uff0c\u652f\u6301\u591a\u79cd\u683c\u5f0f\u7684\u8bfb\u53d6\u548c\u5199\u5165\u3002openpyxl<\/code>\u4e3b\u8981\u7528\u4e8e\u5904\u7406.xlsx\u683c\u5f0f\u7684\u6587\u4ef6\uff0c\u652f\u6301\u5bf9Excel\u6587\u4ef6\u7684\u8bfb\u5199\u3001\u4fee\u6539\u548c\u683c\u5f0f\u8bbe\u7f6e\u3002xlrd<\/code>\u548cxlwt<\/code>\u9002\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165.xls\u683c\u5f0f\u7684\u6587\u4ef6\u3002<\/p>\n
        \u5982\u4f55\u5728\u8bfb\u53d6Excel\u65f6\u9009\u62e9\u7279\u5b9a\u7684\u5de5\u4f5c\u8868\uff1f<\/strong>
        \u5728\u4f7f\u7528pandas<\/code>\u7684read_excel<\/code>\u51fd\u6570\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7sheet_name<\/code>\u53c2\u6570\u9009\u62e9\u7279\u5b9a\u7684\u5de5\u4f5c\u8868\u3002\u53ef\u4ee5\u4f7f\u7528\u5de5\u4f5c\u8868\u7684\u540d\u79f0\u6216\u7d22\u5f15\u3002\u4f8b\u5982\uff1a  <\/p>\n
        data = pd.read_excel('\u6587\u4ef6\u8def\u5f84.xlsx', sheet_name='\u5de5\u4f5c\u8868\u540d\u79f0')\n<\/code><\/pre>\n
        \u5982\u679c\u4f60\u5e0c\u671b\u8bfb\u53d6\u591a\u4e2a\u5de5\u4f5c\u8868\uff0c\u53ef\u4ee5\u5c06sheet_name<\/code>\u53c2\u6570\u8bbe\u7f6e\u4e3a\u4e00\u4e2a\u5217\u8868\u3002\u8fd9\u6837\u53ef\u4ee5\u66f4\u7075\u6d3b\u5730\u5904\u7406\u591a\u4e2a\u6570\u636e\u96c6\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4e00\u3001PYTHON \u8bfb\u53d6 EXCEL \u5185\u5bb9\u7684\u65b9\u6cd5 Python \u8bfb\u53d6 Excel \u5185\u5bb9\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528 P […]","protected":false},"author":3,"featured_media":1008781,"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\/1008774"}],"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=1008774"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1008774\/revisions"}],"predecessor-version":[{"id":1008782,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1008774\/revisions\/1008782"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1008781"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1008774"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1008774"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1008774"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}