{"id":938510,"date":"2024-12-26T20:12:25","date_gmt":"2024-12-26T12:12:25","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/938510.html"},"modified":"2024-12-26T20:12:27","modified_gmt":"2024-12-26T12:12:27","slug":"python%e5%a6%82%e4%bd%95%e6%89%93%e5%bc%80ods","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/938510.html","title":{"rendered":"python\u5982\u4f55\u6253\u5f00ods"},"content":{"rendered":"

\"python\u5982\u4f55\u6253\u5f00ods\"<\/p>\n

\u5f00\u5934\u6bb5\u843d\uff1a
\u8981\u5728Python\u4e2d\u6253\u5f00ODS\uff08OpenDocument Spreadsheet\uff09\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\uff1a\u4f7f\u7528odfpy<\/code>\u5e93\u89e3\u6790ODS\u6587\u4ef6\u3001\u4f7f\u7528pandas<\/code>\u5e93\u7ed3\u5408odfpy<\/code>\u8bfb\u53d6ODS\u6570\u636e\u3001\u4f7f\u7528ezodf<\/code>\u5e93\u5904\u7406ODS\u6587\u4ef6\u3002<\/strong>\u5176\u4e2d\uff0c\u4f7f\u7528odfpy<\/code>\u5e93\u89e3\u6790ODS\u6587\u4ef6\u662f\u4e00\u4e2a\u5e38\u7528\u7684\u65b9\u6cd5\u3002odfpy<\/code>\u662f\u4e00\u4e2a\u4e13\u95e8\u7528\u4e8e\u5904\u7406OpenDocument\u683c\u5f0f\u7684Python\u5e93\uff0c\u5b83\u80fd\u591f\u76f4\u63a5\u89e3\u6790ODS\u6587\u4ef6\u7684\u5185\u5bb9\uff0c\u5305\u62ec\u8bfb\u53d6\u8868\u683c\u4e2d\u7684\u6570\u636e\u548c\u83b7\u53d6\u5143\u6570\u636e\u4fe1\u606f\u3002\u901a\u8fc7odfpy<\/code>\uff0c\u60a8\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bbf\u95eeODS\u6587\u4ef6\u7684\u6bcf\u4e2a\u5355\u5143\u683c\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aPython\u7684\u6570\u636e\u7ed3\u6784\u8fdb\u884c\u8fdb\u4e00\u6b65\u5904\u7406\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u8ba8\u8bba\u8fd9\u4e9b\u65b9\u6cd5\u53ca\u5176\u5b9e\u73b0\u6b65\u9aa4\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528odfpy<\/code>\u5e93\u89e3\u6790ODS\u6587\u4ef6<\/p>\n<\/p>\n

odfpy<\/code>\u662f\u4e00\u4e2a\u5f3a\u5927\u7684Python\u5e93\uff0c\u4e13\u95e8\u7528\u4e8e\u5904\u7406OpenDocument\u683c\u5f0f\u7684\u6587\u4ef6\uff0c\u5305\u62ecODS\u6587\u4ef6\u3002\u901a\u8fc7odfpy<\/code>\uff0c\u60a8\u53ef\u4ee5\u76f4\u63a5\u89e3\u6790ODS\u6587\u4ef6\u7684\u5185\u5bb9\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aPython\u4e2d\u7684\u6570\u636e\u7ed3\u6784\u3002<\/p>\n<\/p>\n

    \n
  1. \u5b89\u88c5odfpy<\/code>\u5e93<\/li>\n<\/ol>\n

    \u8981\u4f7f\u7528odfpy<\/code>\u5e93\uff0c\u60a8\u9996\u5148\u9700\u8981\u5b89\u88c5\u5b83\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u4f7f\u7528pip<\/code>\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

    pip install odfpy<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u89e3\u6790ODS\u6587\u4ef6<\/li>\n<\/ol>\n
      \u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528odfpy<\/code>\u5e93\u4e2d\u7684\u529f\u80fd\u6765\u89e3\u6790ODS\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4ee3\u7801\u793a\u4f8b\uff0c\u6f14\u793a\u5982\u4f55\u4f7f\u7528odfpy<\/code>\u5e93\u8bfb\u53d6ODS\u6587\u4ef6\u4e2d\u7684\u6570\u636e\uff1a<\/p>\n<\/p>\n
      from odf.opendocument import load<\/p>\n
      from odf.table import Table, TableRow, TableCell<\/p>\n
      from odf.text import P<\/p>\n
      \u52a0\u8f7dODS\u6587\u4ef6<\/strong><\/h2>\n
      ods_file = load("example.ods")<\/p>\n
      \u8bbf\u95ee\u6587\u4ef6\u4e2d\u7684\u6bcf\u4e2a\u8868\u683c<\/strong><\/h2>\n
      for sheet in ods_file.spreadsheet.getElementsByType(Table):<\/p>\n
          print("Sheet name:", sheet.getAttribute("name"))<\/p>\n
          # \u8bbf\u95ee\u8868\u683c\u4e2d\u7684\u6bcf\u4e00\u884c<\/p>\n
          for row in sheet.getElementsByType(TableRow):<\/p>\n
              row_data = []<\/p>\n
              # \u8bbf\u95ee\u884c\u4e2d\u7684\u6bcf\u4e2a\u5355\u5143\u683c<\/p>\n
              for cell in row.getElementsByType(TableCell):<\/p>\n
                  # \u83b7\u53d6\u5355\u5143\u683c\u4e2d\u7684\u6587\u672c<\/p>\n
                  text = "".join(p.firstChild.data for p in cell.getElementsByType(P))<\/p>\n
                  row_data.append(text)<\/p>\n
              print("Row data:", row_data)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u52a0\u8f7dODS\u6587\u4ef6\uff0c\u7136\u540e\u901a\u8fc7\u904d\u5386\u6587\u4ef6\u4e2d\u7684\u6bcf\u4e2a\u8868\u683c\u3001\u6bcf\u4e00\u884c\u548c\u6bcf\u4e2a\u5355\u5143\u683c\u6765\u8bfb\u53d6\u6570\u636e\u3002odfpy<\/code>\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u529f\u80fd\u6765\u5904\u7406ODS\u6587\u4ef6\uff0c\u60a8\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8fdb\u884c\u4fee\u6539\u548c\u6269\u5c55\u3002<\/p>\n<\/p>\n
      \u4e8c\u3001\u4f7f\u7528pandas<\/code>\u7ed3\u5408odfpy<\/code>\u8bfb\u53d6ODS\u6570\u636e<\/p>\n<\/p>\n
      \u5982\u679c\u60a8\u5e0c\u671b\u5c06ODS\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u8f6c\u6362\u4e3apandas<\/code>\u6570\u636e\u6846\u4ee5\u4fbf\u4e8e\u6570\u636e\u5206\u6790\u548c\u5904\u7406\uff0c\u53ef\u4ee5\u7ed3\u5408\u4f7f\u7528odfpy<\/code>\u548cpandas<\/code>\u5e93\u3002<\/p>\n<\/p>\n
        \n
      1. \u5b89\u88c5pandas<\/code><\/li>\n<\/ol>\n
        \u9996\u5148\uff0c\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86pandas<\/code>\u5e93\uff1a<\/p>\n<\/p>\n
        pip install pandas<\/p>\n
        <\/code><\/pre>\n<\/p>\n
          \n
        1. \u4f7f\u7528pandas<\/code>\u8bfb\u53d6ODS\u6570\u636e<\/li>\n<\/ol>\n
          \u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u6f14\u793a\u5982\u4f55\u4f7f\u7528odfpy<\/code>\u5e93\u89e3\u6790ODS\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3apandas<\/code>\u6570\u636e\u6846\uff1a<\/p>\n<\/p>\n
          import pandas as pd<\/p>\n
          from odf.opendocument import load<\/p>\n
          from odf.table import Table, TableRow, TableCell<\/p>\n
          from odf.text import P<\/p>\n
          def ods_to_dataframe(filename):<\/p>\n
              ods_file = load(filename)<\/p>\n
              dataframes = {}<\/p>\n
              for sheet in ods_file.spreadsheet.getElementsByType(Table):<\/p>\n
                  sheet_name = sheet.getAttribute("name")<\/p>\n
                  rows = []<\/p>\n
                  for row in sheet.getElementsByType(TableRow):<\/p>\n
                      row_data = []<\/p>\n
                      for cell in row.getElementsByType(TableCell):<\/p>\n
                          text = "".join(p.firstChild.data for p in cell.getElementsByType(P))<\/p>\n
                          row_data.append(text)<\/p>\n
                      rows.append(row_data)<\/p>\n
                  dataframes[sheet_name] = pd.DataFrame(rows)<\/p>\n
              return dataframes<\/p>\n
          \u5c06ODS\u6587\u4ef6\u8f6c\u6362\u4e3apandas\u6570\u636e\u6846<\/strong><\/h2>\n
          dataframes = ods_to_dataframe("example.ods")<\/p>\n
          \u6253\u5370\u6570\u636e\u6846<\/strong><\/h2>\n
          for sheet_name, df in dataframes.items():<\/p>\n
              print(f"Sheet: {sheet_name}")<\/p>\n
              print(df)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u51fd\u6570ods_to_dataframe<\/code>\uff0c\u7528\u4e8e\u5c06ODS\u6587\u4ef6\u4e2d\u7684\u6bcf\u4e2a\u8868\u683c\u8f6c\u6362\u4e3apandas<\/code>\u6570\u636e\u6846\u3002\u901a\u8fc7\u8c03\u7528\u8fd9\u4e2a\u51fd\u6570\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06ODS\u6570\u636e\u5bfc\u5165\u5230pandas<\/code>\u4e2d\u8fdb\u884c\u8fdb\u4e00\u6b65\u5206\u6790\u3002<\/p>\n<\/p>\n
          \u4e09\u3001\u4f7f\u7528ezodf<\/code>\u5e93\u5904\u7406ODS\u6587\u4ef6<\/p>\n<\/p>\n
          ezodf<\/code>\u662f\u53e6\u4e00\u4e2a\u7528\u4e8e\u5904\u7406ODS\u6587\u4ef6\u7684Python\u5e93\uff0c\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u522b\u7684\u63a5\u53e3\uff0c\u4f7f\u5f97\u8bfb\u53d6\u548c\u5199\u5165ODS\u6587\u4ef6\u66f4\u52a0\u7b80\u4fbf\u3002<\/p>\n<\/p>\n
            \n
          1. \u5b89\u88c5ezodf<\/code>\u5e93<\/li>\n<\/ol>\n
            \u9996\u5148\uff0c\u4f7f\u7528pip<\/code>\u5b89\u88c5ezodf<\/code>\u5e93\uff1a<\/p>\n<\/p>\n
            pip install ezodf<\/p>\n
            <\/code><\/pre>\n<\/p>\n
              \n
            1. \u4f7f\u7528ezodf<\/code>\u8bfb\u53d6ODS\u6587\u4ef6<\/li>\n<\/ol>\n
              \u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u6f14\u793a\u5982\u4f55\u4f7f\u7528ezodf<\/code>\u5e93\u8bfb\u53d6ODS\u6587\u4ef6\u4e2d\u7684\u6570\u636e\uff1a<\/p>\n<\/p>\n
              import ezodf<\/p>\n
              \u52a0\u8f7dODS\u6587\u4ef6<\/strong><\/h2>\n
              doc = ezodf.opendoc("example.ods")<\/p>\n
              \u8bbf\u95ee\u6587\u4ef6\u4e2d\u7684\u6bcf\u4e2a\u8868\u683c<\/strong><\/h2>\n
              for sheet in doc.sheets:<\/p>\n
                  print("Sheet name:", sheet.name)<\/p>\n
                  rows = []<\/p>\n
                  # \u8bbf\u95ee\u8868\u683c\u4e2d\u7684\u6bcf\u4e00\u884c<\/p>\n
                  for row in sheet.rows():<\/p>\n
                      row_data = [cell.value for cell in row]<\/p>\n
                      rows.append(row_data)<\/p>\n
                  print("Rows:", rows)<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528ezodf<\/code>\u5e93\u6253\u5f00ODS\u6587\u4ef6\uff0c\u5e76\u904d\u5386\u6bcf\u4e2a\u8868\u683c\u548c\u6bcf\u4e00\u884c\u3002ezodf<\/code>\u63d0\u4f9b\u4e86\u7b80\u5355\u6613\u7528\u7684\u63a5\u53e3\u6765\u8bbf\u95eeODS\u6587\u4ef6\u7684\u5185\u5bb9\u3002<\/p>\n<\/p>\n
              \u56db\u3001\u5c06ODS\u6587\u4ef6\u8f6c\u6362\u4e3aCSV\u683c\u5f0f<\/p>\n<\/p>\n
              \u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u5c06ODS\u6587\u4ef6\u8f6c\u6362\u4e3aCSV\u683c\u5f0f\uff0c\u4ee5\u4fbf\u4e0e\u5176\u4ed6\u5de5\u5177\u6216\u5e73\u53f0\u517c\u5bb9\u3002\u53ef\u4ee5\u4f7f\u7528ezodf<\/code>\u5e93\u5b9e\u73b0\u8fd9\u4e00\u8f6c\u6362\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n
              \u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u6f14\u793a\u5982\u4f55\u5c06ODS\u6587\u4ef6\u8f6c\u6362\u4e3aCSV\u683c\u5f0f\uff1a<\/p>\n<\/p>\n
              import ezodf<\/p>\n
              import csv<\/p>\n
              def ods_to_csv(ods_filename, csv_filename):<\/p>\n
                  doc = ezodf.opendoc(ods_filename)<\/p>\n
                  # \u5047\u8bbe\u6211\u4eec\u53ea\u8f6c\u6362\u7b2c\u4e00\u4e2a\u8868\u683c<\/p>\n
                  sheet = doc.sheets[0]<\/p>\n
                  with open(csv_filename, 'w', newline='') as csvfile:<\/p>\n
                      writer = csv.writer(csvfile)<\/p>\n
                      for row in sheet.rows():<\/p>\n
                          row_data = [cell.value for cell in row]<\/p>\n
                          writer.writerow(row_data)<\/p>\n
              \u5c06ODS\u6587\u4ef6\u8f6c\u6362\u4e3aCSV\u683c\u5f0f<\/strong><\/h2>\n
              ods_to_csv("example.ods", "output.csv")<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u51fd\u6570ods_to_csv<\/code>\uff0c\u7528\u4e8e\u5c06ODS\u6587\u4ef6\u4e2d\u7684\u7b2c\u4e00\u4e2a\u8868\u683c\u8f6c\u6362\u4e3aCSV\u683c\u5f0f\u5e76\u4fdd\u5b58\u5230\u6307\u5b9a\u7684\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
              \u4e94\u3001\u5904\u7406ODS\u6587\u4ef6\u4e2d\u7684\u590d\u6742\u6570\u636e<\/p>\n<\/p>\n
              \u5904\u7406ODS\u6587\u4ef6\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u5305\u542b\u590d\u6742\u6570\u636e\u7ed3\u6784\u7684\u60c5\u51b5\uff0c\u5982\u5408\u5e76\u5355\u5143\u683c\u3001\u516c\u5f0f\u548c\u6837\u5f0f\u3002\u4e86\u89e3\u5982\u4f55\u5904\u7406\u8fd9\u4e9b\u590d\u6742\u6570\u636e\u5bf9\u4e8e\u5168\u9762\u89e3\u6790ODS\u6587\u4ef6\u975e\u5e38\u91cd\u8981\u3002<\/p>\n<\/p>\n
                \n
              1. \u5904\u7406\u5408\u5e76\u5355\u5143\u683c<\/li>\n<\/ol>\n
                \u5408\u5e76\u5355\u5143\u683c\u5728ODS\u6587\u4ef6\u4e2d\u901a\u5e38\u7528\u4e8e\u683c\u5f0f\u5316\u6570\u636e\u3002\u89e3\u6790ODS\u6587\u4ef6\u65f6\uff0c\u9700\u8981\u7279\u522b\u6ce8\u610f\u5408\u5e76\u5355\u5143\u683c\uff0c\u4ee5\u786e\u4fdd\u6570\u636e\u7684\u5b8c\u6574\u6027\u3002<\/p>\n<\/p>\n
                \u4ee5\u4e0b\u662f\u4e00\u4e2a\u5904\u7406\u5408\u5e76\u5355\u5143\u683c\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
                from odf.table import CoveredTableCell<\/p>\n
                def read_merged_cells(sheet):<\/p>\n
                    for row in sheet.getElementsByType(TableRow):<\/p>\n
                        row_data = []<\/p>\n
                        for cell in row.getElementsByType(TableCell):<\/p>\n
                            if isinstance(cell, CoveredTableCell):<\/p>\n
                                # \u5904\u7406\u5408\u5e76\u5355\u5143\u683c<\/p>\n
                                row_data.append(None)<\/p>\n
                            else:<\/p>\n
                                text = "".join(p.firstChild.data for p in cell.getElementsByType(P))<\/p>\n
                                row_data.append(text)<\/p>\n
                        print("Row data:", row_data)<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u68c0\u67e5\u6bcf\u4e2a\u5355\u5143\u683c\u7684\u7c7b\u578b\u3002\u5982\u679c\u662fCoveredTableCell<\/code>\uff0c\u5219\u8868\u793a\u8be5\u5355\u5143\u683c\u662f\u5408\u5e76\u5355\u5143\u683c\u7684\u4e00\u90e8\u5206\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8fdb\u884c\u5904\u7406\u3002<\/p>\n<\/p>\n
                  \n
                1. \u5904\u7406\u516c\u5f0f<\/li>\n<\/ol>\n
                  ODS\u6587\u4ef6\u4e2d\u7684\u5355\u5143\u683c\u53ef\u80fd\u5305\u542b\u516c\u5f0f\u3002\u89e3\u6790\u516c\u5f0f\u9700\u8981\u989d\u5916\u7684\u6b65\u9aa4\uff0c\u4ee5\u786e\u4fdd\u516c\u5f0f\u88ab\u6b63\u786e\u8bc6\u522b\u548c\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
                    \n
                  1. \u5904\u7406\u6837\u5f0f<\/li>\n<\/ol>\n
                    ODS\u6587\u4ef6\u4e2d\u7684\u5355\u5143\u683c\u53ef\u80fd\u5177\u6709\u4e0d\u540c\u7684\u6837\u5f0f\uff0c\u5982\u5b57\u4f53\u3001\u989c\u8272\u548c\u80cc\u666f\u3002\u89e3\u6790\u6837\u5f0f\u4fe1\u606f\u53ef\u4ee5\u5e2e\u52a9\u5728\u8f6c\u6362\u8fc7\u7a0b\u4e2d\u4fdd\u6301\u6570\u636e\u7684\u89c6\u89c9\u4e00\u81f4\u6027\u3002<\/p>\n<\/p>\n
                    \u603b\u7ed3\uff1a<\/p>\n<\/p>\n
                    \u901a\u8fc7\u4f7f\u7528odfpy<\/code>\u3001pandas<\/code>\u3001ezodf<\/code>\u7b49\u5e93\uff0c\u60a8\u53ef\u4ee5\u5728Python\u4e2d\u8f7b\u677e\u6253\u5f00\u548c\u5904\u7406ODS\u6587\u4ef6\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u4f18\u52bf\uff0c\u60a8\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002\u6ce8\u610f\u5728\u5904\u7406\u590d\u6742\u6570\u636e\u65f6\uff0c\u9700\u8981\u7279\u522b\u5c0f\u5fc3\uff0c\u4ee5\u786e\u4fdd\u6570\u636e\u7684\u5b8c\u6574\u6027\u548c\u6b63\u786e\u6027\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u60a8\u53ef\u80fd\u9700\u8981\u7ed3\u5408\u591a\u79cd\u65b9\u6cd5\u6765\u5b9e\u73b0\u6700\u4f73\u6548\u679c\u3002<\/p>\n<\/p>\n
                    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                     \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6ODS\u6587\u4ef6\uff1f<\/strong>
                    \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528odfpy<\/code>\u5e93\u6216pandas<\/code>\u5e93\u6765\u8bfb\u53d6ODS\u6587\u4ef6\u3002pandas<\/code>\u5e93\u63d0\u4f9b\u4e86read_excel<\/code>\u51fd\u6570\uff0c\u652f\u6301ODS\u6587\u4ef6\u7684\u8bfb\u53d6\u3002\u9996\u5148\u9700\u8981\u5b89\u88c5\u76f8\u5173\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a  <\/p>\n
                    pip install pandas odfpy\n<\/code><\/pre>\n
                    \u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6ODS\u6587\u4ef6\uff1a  <\/p>\n
                    import pandas as pd\n\n# \u8bfb\u53d6ODS\u6587\u4ef6\ndata = pd.read_excel('your_file.ods', engine='odf')\nprint(data)\n<\/code><\/pre>\n
                    \u5728Python\u4e2d\u6253\u5f00ODS\u6587\u4ef6\u9700\u8981\u6ce8\u610f\u54ea\u4e9b\u4e8b\u9879\uff1f<\/strong>
                    \u5728\u6253\u5f00ODS\u6587\u4ef6\u65f6\uff0c\u9700\u8981\u786e\u4fdd\u6587\u4ef6\u8def\u5f84\u6b63\u786e\uff0c\u5e76\u4e14ODS\u6587\u4ef6\u683c\u5f0f\u7b26\u5408\u89c4\u8303\u3002\u5982\u679c\u6587\u4ef6\u635f\u574f\u6216\u683c\u5f0f\u4e0d\u652f\u6301\uff0c\u53ef\u80fd\u4f1a\u5bfc\u81f4\u65e0\u6cd5\u8bfb\u53d6\u3002\u6b64\u5916\uff0c\u68c0\u67e5\u5b89\u88c5\u7684\u5e93\u7248\u672c\u4e5f\u5f88\u91cd\u8981\uff0c\u786e\u4fdd\u5b83\u4eec\u80fd\u591f\u652f\u6301ODS\u6587\u4ef6\u7684\u8bfb\u53d6\u3002<\/p>\n
                    \u4f7f\u7528Python\u5904\u7406ODS\u6587\u4ef6\u6709\u54ea\u4e9b\u5e38\u89c1\u64cd\u4f5c\uff1f<\/strong>
                    \u901a\u8fc7Python\u5904\u7406ODS\u6587\u4ef6\uff0c\u5e38\u89c1\u7684\u64cd\u4f5c\u5305\u62ec\u8bfb\u53d6\u6570\u636e\u3001\u7b5b\u9009\u7279\u5b9a\u5217\u3001\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u8f6c\u6362\u6570\u636e\u683c\u5f0f\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u3001\u6392\u5e8f\u3001\u5206\u7ec4\u7b49\u64cd\u4f5c\u3002\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u5c06ODS\u6570\u636e\u8f6c\u6362\u4e3a\u5176\u4ed6\u683c\u5f0f\uff0c\u5982CSV\u6216Excel\uff0c\u65b9\u4fbf\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5904\u7406\u548c\u5206\u6790\u3002\u4f7f\u7528data.to_csv('output.csv')<\/code>\u53ef\u4ee5\u5c06\u6570\u636e\u5bfc\u51fa\u4e3aCSV\u683c\u5f0f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5f00\u5934\u6bb5\u843d\uff1a\u8981\u5728Python\u4e2d\u6253\u5f00ODS\uff08OpenDocument Spreadsheet\uff09\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9 […]","protected":false},"author":3,"featured_media":938512,"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\/938510"}],"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=938510"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/938510\/revisions"}],"predecessor-version":[{"id":938514,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/938510\/revisions\/938514"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/938512"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=938510"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=938510"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=938510"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}