{"id":1151528,"date":"2025-01-13T17:14:38","date_gmt":"2025-01-13T09:14:38","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1151528.html"},"modified":"2025-01-13T17:14:41","modified_gmt":"2025-01-13T09:14:41","slug":"python%e5%a6%82%e4%bd%95%e8%af%bb%e5%8f%96xls%e6%96%87%e4%bb%b6","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1151528.html","title":{"rendered":"python\u5982\u4f55\u8bfb\u53d6xls\u6587\u4ef6"},"content":{"rendered":"

\"python\u5982\u4f55\u8bfb\u53d6xls\u6587\u4ef6\"<\/p>\n

Python\u8bfb\u53d6xls\u6587\u4ef6\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528pandas\u3001xlrd\u3001openpyxl\u3001pyxlsb\u7b49\u5e93\u3001\u5176\u4e2dpandas\u548cxlrd\u662f\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u3002<\/strong><\/p>\n<\/p>\n

\u4e00\u3001PANDAS\u5e93<\/p>\n<\/p>\n

Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u5e93\uff0c\u652f\u6301\u591a\u79cd\u6570\u636e\u683c\u5f0f\u7684\u8bfb\u53d6\u548c\u5199\u5165\u3002\u8981\u4f7f\u7528pandas\u8bfb\u53d6xls\u6587\u4ef6\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5pandas\u5e93\u548cxlrd\u5e93\uff0c\u56e0\u4e3apandas\u4f9d\u8d56xlrd\u5e93\u6765\u8bfb\u53d6xls\u683c\u5f0f\u7684Excel\u6587\u4ef6\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install pandas xlrd<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6xls\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6xls\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_excel('\u6587\u4ef6\u8def\u5f84.xls', sheet_name='Sheet1')<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4ee3\u7801\u4e2d\uff0cpd.read_excel()<\/code>\u51fd\u6570\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u5176\u4e2dsheet_name<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u8981\u8bfb\u53d6\u7684\u5de5\u4f5c\u8868\u540d\u79f0\u3002\u5982\u679c\u4e0d\u6307\u5b9asheet_name<\/code>\uff0c\u9ed8\u8ba4\u8bfb\u53d6\u7b2c\u4e00\u4e2a\u5de5\u4f5c\u8868\u3002<\/p>\n<\/p>\n
\u4e8c\u3001XLrd\u5e93<\/p>\n<\/p>\n
xlrd\u662f\u4e00\u4e2a\u4e13\u95e8\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\u7684\u5e93\uff0c\u652f\u6301xls\u683c\u5f0f\u7684\u6587\u4ef6\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5xlrd\u5e93\uff1a<\/p>\n<\/p>\n
pip install xlrd<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6xls\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import xlrd<\/p>\n
\u6253\u5f00xls\u6587\u4ef6<\/strong><\/h2>\n
workbook = xlrd.open_workbook('\u6587\u4ef6\u8def\u5f84.xls')<\/p>\n
\u83b7\u53d6\u5de5\u4f5c\u8868<\/strong><\/h2>\n
sheet = workbook.sheet_by_name('Sheet1')<\/p>\n
\u8bfb\u53d6\u6570\u636e<\/strong><\/h2>\n
for row in range(sheet.nrows):<\/p>\n
    print(sheet.row_values(row))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4ee3\u7801\u4e2d\uff0cxlrd.open_workbook()<\/code>\u51fd\u6570\u7528\u4e8e\u6253\u5f00xls\u6587\u4ef6\uff0csheet_by_name()<\/code>\u51fd\u6570\u7528\u4e8e\u83b7\u53d6\u6307\u5b9a\u540d\u79f0\u7684\u5de5\u4f5c\u8868\uff0csheet.nrows<\/code>\u8868\u793a\u5de5\u4f5c\u8868\u7684\u884c\u6570\uff0csheet.row_values()<\/code>\u51fd\u6570\u7528\u4e8e\u83b7\u53d6\u6307\u5b9a\u884c\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4e09\u3001OPENPYXL\u5e93<\/p>\n<\/p>\n
openpyxl\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u5199Excel\u6587\u4ef6\u7684\u5e93\uff0c\u652f\u6301xlsx\u683c\u5f0f\u7684\u6587\u4ef6\u3002\u867d\u7136\u4e0d\u76f4\u63a5\u652f\u6301xls\u683c\u5f0f\u7684\u6587\u4ef6\uff0c\u4f46\u53ef\u4ee5\u901a\u8fc7\u5c06xls\u6587\u4ef6\u8f6c\u6362\u4e3axlsx\u683c\u5f0f\u6765\u4f7f\u7528openpyxl\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5openpyxl\u5e93\uff1a<\/p>\n<\/p>\n
pip install openpyxl<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6xlsx\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import openpyxl<\/p>\n
\u6253\u5f00xlsx\u6587\u4ef6<\/strong><\/h2>\n
workbook = openpyxl.load_workbook('\u6587\u4ef6\u8def\u5f84.xlsx')<\/p>\n
\u83b7\u53d6\u5de5\u4f5c\u8868<\/strong><\/h2>\n
sheet = workbook['Sheet1']<\/p>\n
\u8bfb\u53d6\u6570\u636e<\/strong><\/h2>\n
for row in sheet.iter_rows(values_only=True):<\/p>\n
    print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4ee3\u7801\u4e2d\uff0copenpyxl.load_workbook()<\/code>\u51fd\u6570\u7528\u4e8e\u6253\u5f00xlsx\u6587\u4ef6\uff0cworkbook['Sheet1']<\/code>\u7528\u4e8e\u83b7\u53d6\u6307\u5b9a\u540d\u79f0\u7684\u5de5\u4f5c\u8868\uff0csheet.iter_rows(values_only=True)<\/code>\u7528\u4e8e\u8fed\u4ee3\u5de5\u4f5c\u8868\u4e2d\u7684\u884c\u5e76\u8bfb\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n
\u56db\u3001PYXLSB\u5e93<\/p>\n<\/p>\n
pyxlsb\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6Excel\u4e8c\u8fdb\u5236\u6587\u4ef6\uff08xlsb\u683c\u5f0f\uff09\u7684\u5e93\u3002\u5982\u679c\u9700\u8981\u8bfb\u53d6xlsb\u683c\u5f0f\u7684\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528pyxlsb\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5pyxlsb\u5e93\uff1a<\/p>\n<\/p>\n
pip install pyxlsb<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6xlsb\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6xlsb\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_excel('\u6587\u4ef6\u8def\u5f84.xlsb', sheet_name='Sheet1', engine='pyxlsb')<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4ee3\u7801\u4e2d\uff0cpd.read_excel()<\/code>\u51fd\u6570\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\uff0cengine<\/code>\u53c2\u6570\u6307\u5b9a\u4f7f\u7528pyxlsb\u5f15\u64ce\u8bfb\u53d6xlsb\u683c\u5f0f\u7684\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u603b\u7ed3<\/p>\n<\/p>\n
Python\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u8bfb\u53d6xls\u6587\u4ef6\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u4f7f\u7528pandas\u548cxlrd\u5e93\u3002pandas\u5e93\u529f\u80fd\u5f3a\u5927\uff0c\u652f\u6301\u591a\u79cd\u6570\u636e\u683c\u5f0f\u7684\u8bfb\u53d6\u548c\u5199\u5165\uff0c\u9002\u5408\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u573a\u666f\u3002xlrd\u5e93\u662f\u4e13\u95e8\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\u7684\u5e93\uff0c\u652f\u6301xls\u683c\u5f0f\u7684\u6587\u4ef6\uff0c\u9002\u5408\u7b80\u5355\u7684\u6570\u636e\u8bfb\u53d6\u4efb\u52a1\u3002\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528openpyxl\u5e93\u8bfb\u53d6xlsx\u683c\u5f0f\u7684\u6587\u4ef6\uff0c\u4ee5\u53ca\u4f7f\u7528pyxlsb\u5e93\u8bfb\u53d6xlsb\u683c\u5f0f\u7684\u6587\u4ef6\u3002\u5728\u9009\u62e9\u5177\u4f53\u65b9\u6cd5\u65f6\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u548c\u6587\u4ef6\u683c\u5f0f\u8fdb\u884c\u9009\u62e9\u3002<\/p>\n<\/p>\n
\u516d\u3001\u8be6\u7ec6\u8bf4\u660epandas\u5e93\u7684\u4f7f\u7528<\/p>\n<\/p>\n
    \n
  1. \u8bfb\u53d6\u591a\u4e2a\u5de5\u4f5c\u8868<\/li>\n<\/ol>\n
    \u9664\u4e86\u8bfb\u53d6\u5355\u4e2a\u5de5\u4f5c\u8868\u5916\uff0cpandas\u8fd8\u652f\u6301\u8bfb\u53d6\u591a\u4e2a\u5de5\u4f5c\u8868\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6\u591a\u4e2a\u5de5\u4f5c\u8868\uff1a<\/p>\n<\/p>\n
    import pandas as pd<\/p>\n
    \u8bfb\u53d6\u591a\u4e2a\u5de5\u4f5c\u8868<\/strong><\/h2>\n
    dfs = pd.read_excel('\u6587\u4ef6\u8def\u5f84.xls', sheet_name=['Sheet1', 'Sheet2'])<\/p>\n
    \u8bbf\u95ee\u5de5\u4f5c\u8868\u6570\u636e<\/strong><\/h2>\n
    df1 = dfs['Sheet1']<\/p>\n
    df2 = dfs['Sheet2']<\/p>\n
    print(df1)<\/p>\n
    print(df2)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u4ee3\u7801\u4e2d\uff0csheet_name<\/code>\u53c2\u6570\u4f20\u5165\u4e00\u4e2a\u5217\u8868\uff0c\u6307\u5b9a\u8981\u8bfb\u53d6\u7684\u5de5\u4f5c\u8868\u540d\u79f0\u3002\u8fd4\u56de\u7684\u7ed3\u679c\u662f\u4e00\u4e2a\u5b57\u5178\uff0c\u952e\u662f\u5de5\u4f5c\u8868\u540d\u79f0\uff0c\u503c\u662f\u5bf9\u5e94\u7684DataFrame\u5bf9\u8c61\u3002<\/p>\n<\/p>\n
      \n
    1. \u8bfb\u53d6\u6240\u6709\u5de5\u4f5c\u8868<\/li>\n<\/ol>\n
      \u5982\u679c\u9700\u8981\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u6240\u6709\u5de5\u4f5c\u8868\uff0c\u53ef\u4ee5\u5c06sheet_name<\/code>\u53c2\u6570\u8bbe\u7f6e\u4e3aNone<\/code>\uff1a<\/p>\n<\/p>\n
      import pandas as pd<\/p>\n
      \u8bfb\u53d6\u6240\u6709\u5de5\u4f5c\u8868<\/strong><\/h2>\n
      dfs = pd.read_excel('\u6587\u4ef6\u8def\u5f84.xls', sheet_name=None)<\/p>\n
      \u8bbf\u95ee\u5de5\u4f5c\u8868\u6570\u636e<\/strong><\/h2>\n
      for sheet_name, df in dfs.items():<\/p>\n
          print(f"\u5de5\u4f5c\u8868\u540d\u79f0: {sheet_name}")<\/p>\n
          print(df)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u4ee3\u7801\u4e2d\uff0csheet_name<\/code>\u53c2\u6570\u8bbe\u7f6e\u4e3aNone<\/code>\u65f6\uff0cpd.read_excel()<\/code>\u51fd\u6570\u4f1a\u8bfb\u53d6\u6240\u6709\u5de5\u4f5c\u8868\uff0c\u5e76\u8fd4\u56de\u4e00\u4e2a\u5b57\u5178\uff0c\u952e\u662f\u5de5\u4f5c\u8868\u540d\u79f0\uff0c\u503c\u662f\u5bf9\u5e94\u7684DataFrame\u5bf9\u8c61\u3002<\/p>\n<\/p>\n
        \n
      1. \u8bfb\u53d6\u6307\u5b9a\u8303\u56f4\u7684\u6570\u636e<\/li>\n<\/ol>\n
        \u6709\u65f6\u6211\u4eec\u53ea\u9700\u8981\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u4e00\u90e8\u5206\u6570\u636e\uff0c\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u8bfb\u53d6\u7684\u884c\u548c\u5217\u8303\u56f4\u6765\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n
        import pandas as pd<\/p>\n
        \u8bfb\u53d6\u6307\u5b9a\u8303\u56f4\u7684\u6570\u636e<\/strong><\/h2>\n
        df = pd.read_excel('\u6587\u4ef6\u8def\u5f84.xls', sheet_name='Sheet1', usecols='A:C', skiprows=2, nrows=10)<\/p>\n
        print(df)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5728\u4ee3\u7801\u4e2d\uff0cusecols<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u8981\u8bfb\u53d6\u7684\u5217\uff0cskiprows<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u8df3\u8fc7\u7684\u884c\u6570\uff0cnrows<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u8bfb\u53d6\u7684\u884c\u6570\u3002<\/p>\n<\/p>\n
          \n
        1. \u5199\u5165Excel\u6587\u4ef6<\/li>\n<\/ol>\n
          \u9664\u4e86\u8bfb\u53d6Excel\u6587\u4ef6\u5916\uff0cpandas\u8fd8\u652f\u6301\u5c06\u6570\u636e\u5199\u5165Excel\u6587\u4ef6\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5c06DataFrame\u5bf9\u8c61\u5199\u5165Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
          import pandas as pd<\/p>\n
          \u521b\u5efaDataFrame\u5bf9\u8c61<\/strong><\/h2>\n
          data = {'Name': ['Alice', 'Bob', 'Charlie'],<\/p>\n
                  'Age': [25, 30, 35],<\/p>\n
                  'City': ['New York', 'Los Angeles', 'Chicago']}<\/p>\n
          df = pd.DataFrame(data)<\/p>\n
          \u5199\u5165Excel\u6587\u4ef6<\/strong><\/h2>\n
          df.to_excel('\u8f93\u51fa\u8def\u5f84.xlsx', sheet_name='Sheet1', index=False)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u5728\u4ee3\u7801\u4e2d\uff0cdf.to_excel()<\/code>\u51fd\u6570\u7528\u4e8e\u5c06DataFrame\u5bf9\u8c61\u5199\u5165Excel\u6587\u4ef6\uff0csheet_name<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u5de5\u4f5c\u8868\u540d\u79f0\uff0cindex<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u662f\u5426\u5199\u5165\u884c\u7d22\u5f15\u3002<\/p>\n<\/p>\n
          \u4e03\u3001\u8be6\u7ec6\u8bf4\u660exlrd\u5e93\u7684\u4f7f\u7528<\/p>\n<\/p>\n
            \n
          1. \u83b7\u53d6\u6240\u6709\u5de5\u4f5c\u8868\u540d\u79f0<\/li>\n<\/ol>\n
            \u4f7f\u7528xlrd\u5e93\u53ef\u4ee5\u83b7\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u6240\u6709\u5de5\u4f5c\u8868\u540d\u79f0\uff1a<\/p>\n<\/p>\n
            import xlrd<\/p>\n
            \u6253\u5f00xls\u6587\u4ef6<\/strong><\/h2>\n
            workbook = xlrd.open_workbook('\u6587\u4ef6\u8def\u5f84.xls')<\/p>\n
            \u83b7\u53d6\u6240\u6709\u5de5\u4f5c\u8868\u540d\u79f0<\/strong><\/h2>\n
            sheet_names = workbook.sheet_names()<\/p>\n
            print(sheet_names)<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u5728\u4ee3\u7801\u4e2d\uff0cworkbook.sheet_names()<\/code>\u51fd\u6570\u8fd4\u56de\u4e00\u4e2a\u5305\u542b\u6240\u6709\u5de5\u4f5c\u8868\u540d\u79f0\u7684\u5217\u8868\u3002<\/p>\n<\/p>\n
              \n
            1. \u8bfb\u53d6\u6307\u5b9a\u5355\u5143\u683c\u7684\u6570\u636e<\/li>\n<\/ol>\n
              \u4f7f\u7528xlrd\u5e93\u53ef\u4ee5\u8bfb\u53d6\u6307\u5b9a\u5355\u5143\u683c\u7684\u6570\u636e\uff1a<\/p>\n<\/p>\n
              import xlrd<\/p>\n
              \u6253\u5f00xls\u6587\u4ef6<\/strong><\/h2>\n
              workbook = xlrd.open_workbook('\u6587\u4ef6\u8def\u5f84.xls')<\/p>\n
              \u83b7\u53d6\u5de5\u4f5c\u8868<\/strong><\/h2>\n
              sheet = workbook.sheet_by_name('Sheet1')<\/p>\n
              \u8bfb\u53d6\u6307\u5b9a\u5355\u5143\u683c\u7684\u6570\u636e<\/strong><\/h2>\n
              cell_value = sheet.cell_value(rowx=1, colx=2)<\/p>\n
              print(cell_value)<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u5728\u4ee3\u7801\u4e2d\uff0csheet.cell_value()<\/code>\u51fd\u6570\u7528\u4e8e\u8bfb\u53d6\u6307\u5b9a\u884c\u548c\u5217\u7684\u5355\u5143\u683c\u6570\u636e\u3002<\/p>\n<\/p>\n
                \n
              1. \u8bfb\u53d6\u6307\u5b9a\u5217\u7684\u6570\u636e<\/li>\n<\/ol>\n
                \u4f7f\u7528xlrd\u5e93\u53ef\u4ee5\u8bfb\u53d6\u6307\u5b9a\u5217\u7684\u6570\u636e\uff1a<\/p>\n<\/p>\n
                import xlrd<\/p>\n
                \u6253\u5f00xls\u6587\u4ef6<\/strong><\/h2>\n
                workbook = xlrd.open_workbook('\u6587\u4ef6\u8def\u5f84.xls')<\/p>\n
                \u83b7\u53d6\u5de5\u4f5c\u8868<\/strong><\/h2>\n
                sheet = workbook.sheet_by_name('Sheet1')<\/p>\n
                \u8bfb\u53d6\u6307\u5b9a\u5217\u7684\u6570\u636e<\/strong><\/h2>\n
                for row in range(sheet.nrows):<\/p>\n
                    cell_value = sheet.cell_value(rowx=row, colx=2)<\/p>\n
                    print(cell_value)<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                \u5728\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7\u904d\u5386\u884c\u6570\uff0c\u5e76\u4f7f\u7528sheet.cell_value()<\/code>\u51fd\u6570\u8bfb\u53d6\u6307\u5b9a\u5217\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
                  \n
                1. \u8bfb\u53d6\u5355\u5143\u683c\u7684\u7c7b\u578b<\/li>\n<\/ol>\n
                  \u4f7f\u7528xlrd\u5e93\u53ef\u4ee5\u8bfb\u53d6\u5355\u5143\u683c\u7684\u6570\u636e\u7c7b\u578b\uff1a<\/p>\n<\/p>\n
                  import xlrd<\/p>\n
                  \u6253\u5f00xls\u6587\u4ef6<\/strong><\/h2>\n
                  workbook = xlrd.open_workbook('\u6587\u4ef6\u8def\u5f84.xls')<\/p>\n
                  \u83b7\u53d6\u5de5\u4f5c\u8868<\/strong><\/h2>\n
                  sheet = workbook.sheet_by_name('Sheet1')<\/p>\n
                  \u8bfb\u53d6\u5355\u5143\u683c\u7684\u6570\u636e\u7c7b\u578b<\/strong><\/h2>\n
                  cell_type = sheet.cell_type(rowx=1, colx=2)<\/p>\n
                  print(cell_type)<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u5728\u4ee3\u7801\u4e2d\uff0csheet.cell_type()<\/code>\u51fd\u6570\u7528\u4e8e\u8bfb\u53d6\u6307\u5b9a\u5355\u5143\u683c\u7684\u6570\u636e\u7c7b\u578b\u3002\u8fd4\u56de\u7684\u7ed3\u679c\u662f\u4e00\u4e2a\u6574\u6570\uff0c\u8868\u793a\u5355\u5143\u683c\u7684\u6570\u636e\u7c7b\u578b\u3002<\/p>\n<\/p>\n
                  \u516b\u3001\u4f7f\u7528xlrd\u5e93\u8fdb\u884c\u6570\u636e\u5206\u6790<\/p>\n<\/p>\n
                    \n
                  1. \u7edf\u8ba1\u67d0\u5217\u7684\u9891\u7387\u5206\u5e03<\/li>\n<\/ol>\n
                    \u53ef\u4ee5\u4f7f\u7528xlrd\u5e93\u7edf\u8ba1\u67d0\u5217\u6570\u636e\u7684\u9891\u7387\u5206\u5e03\uff1a<\/p>\n<\/p>\n
                    import xlrd<\/p>\n
                    from collections import Counter<\/p>\n
                    \u6253\u5f00xls\u6587\u4ef6<\/strong><\/h2>\n
                    workbook = xlrd.open_workbook('\u6587\u4ef6\u8def\u5f84.xls')<\/p>\n
                    \u83b7\u53d6\u5de5\u4f5c\u8868<\/strong><\/h2>\n
                    sheet = workbook.sheet_by_name('Sheet1')<\/p>\n
                    \u8bfb\u53d6\u6307\u5b9a\u5217\u7684\u6570\u636e<\/strong><\/h2>\n
                    column_data = [sheet.cell_value(rowx=row, colx=2) for row in range(sheet.nrows)]<\/p>\n
                    \u7edf\u8ba1\u9891\u7387\u5206\u5e03<\/strong><\/h2>\n
                    frequency_distribution = Counter(column_data)<\/p>\n
                    print(frequency_distribution)<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                    \u5728\u4ee3\u7801\u4e2d\uff0c\u9996\u5148\u8bfb\u53d6\u6307\u5b9a\u5217\u7684\u6570\u636e\uff0c\u7136\u540e\u4f7f\u7528Counter<\/code>\u7c7b\u7edf\u8ba1\u9891\u7387\u5206\u5e03\u3002<\/p>\n<\/p>\n
                      \n
                    1. \u8ba1\u7b97\u67d0\u5217\u7684\u5e73\u5747\u503c<\/li>\n<\/ol>\n
                      \u53ef\u4ee5\u4f7f\u7528xlrd\u5e93\u8ba1\u7b97\u67d0\u5217\u6570\u636e\u7684\u5e73\u5747\u503c\uff1a<\/p>\n<\/p>\n
                      import xlrd<\/p>\n
                      \u6253\u5f00xls\u6587\u4ef6<\/strong><\/h2>\n
                      workbook = xlrd.open_workbook('\u6587\u4ef6\u8def\u5f84.xls')<\/p>\n
                      \u83b7\u53d6\u5de5\u4f5c\u8868<\/strong><\/h2>\n
                      sheet = workbook.sheet_by_name('Sheet1')<\/p>\n
                      \u8bfb\u53d6\u6307\u5b9a\u5217\u7684\u6570\u636e<\/strong><\/h2>\n
                      column_data = [sheet.cell_value(rowx=row, colx=2) for row in range(sheet.nrows)]<\/p>\n
                      \u8ba1\u7b97\u5e73\u5747\u503c<\/strong><\/h2>\n
                      average_value = sum(column_data) \/ len(column_data)<\/p>\n
                      print(average_value)<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                      \u5728\u4ee3\u7801\u4e2d\uff0c\u9996\u5148\u8bfb\u53d6\u6307\u5b9a\u5217\u7684\u6570\u636e\uff0c\u7136\u540e\u8ba1\u7b97\u6570\u636e\u7684\u5e73\u5747\u503c\u3002<\/p>\n<\/p>\n
                      \u4e5d\u3001\u4f7f\u7528openpyxl\u5e93<\/p>\n<\/p>\n
                      openpyxl\u5e93\u4e3b\u8981\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165xlsx\u683c\u5f0f\u7684Excel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u4f7f\u7528\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
                        \n
                      1. \u8bfb\u53d6\u5355\u5143\u683c\u7684\u503c<\/li>\n<\/ol>\n
                        import openpyxl<\/p>\n
                        \u6253\u5f00xlsx\u6587\u4ef6<\/strong><\/h2>\n
                        workbook = openpyxl.load_workbook('\u6587\u4ef6\u8def\u5f84.xlsx')<\/p>\n
                        \u83b7\u53d6\u5de5\u4f5c\u8868<\/strong><\/h2>\n
                        sheet = workbook['Sheet1']<\/p>\n
                        \u8bfb\u53d6\u5355\u5143\u683c\u7684\u503c<\/strong><\/h2>\n
                        cell_value = sheet['C2'].value<\/p>\n
                        print(cell_value)<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                        \u5728\u4ee3\u7801\u4e2d\uff0csheet['C2'].value<\/code>\u7528\u4e8e\u8bfb\u53d6\u6307\u5b9a\u5355\u5143\u683c\u7684\u503c\u3002<\/p>\n<\/p>\n
                          \n
                        1. \u5199\u5165\u6570\u636e\u5230Excel\u6587\u4ef6<\/li>\n<\/ol>\n
                          import openpyxl<\/p>\n
                          \u6253\u5f00xlsx\u6587\u4ef6<\/strong><\/h2>\n
                          workbook = openpyxl.load_workbook('\u6587\u4ef6\u8def\u5f84.xlsx')<\/p>\n
                          \u83b7\u53d6\u5de5\u4f5c\u8868<\/strong><\/h2>\n
                          sheet = workbook['Sheet1']<\/p>\n
                          \u5199\u5165\u6570\u636e\u5230\u5355\u5143\u683c<\/strong><\/h2>\n
                          sheet['C2'] = 'New Value'<\/p>\n
                          \u4fdd\u5b58\u6587\u4ef6<\/strong><\/h2>\n
                          workbook.save('\u6587\u4ef6\u8def\u5f84.xlsx')<\/p>\n
                          <\/code><\/pre>\n<\/p>\n
                          \u5728\u4ee3\u7801\u4e2d\uff0csheet['C2'] = 'New Value'<\/code>\u7528\u4e8e\u5411\u6307\u5b9a\u5355\u5143\u683c\u5199\u5165\u6570\u636e\uff0cworkbook.save()<\/code>\u51fd\u6570\u7528\u4e8e\u4fdd\u5b58\u6587\u4ef6\u3002<\/p>\n<\/p>\n
                            \n
                          1. \u521b\u5efa\u65b0\u7684\u5de5\u4f5c\u8868<\/li>\n<\/ol>\n
                            import openpyxl<\/p>\n
                            \u521b\u5efa\u65b0\u7684Excel\u6587\u4ef6<\/strong><\/h2>\n
                            workbook = openpyxl.Workbook()<\/p>\n
                            \u521b\u5efa\u65b0\u7684\u5de5\u4f5c\u8868<\/strong><\/h2>\n
                            sheet = workbook.create_sheet(title='NewSheet')<\/p>\n
                            \u5199\u5165\u6570\u636e\u5230\u5355\u5143\u683c<\/strong><\/h2>\n
                            sheet['A1'] = 'Hello, World!'<\/p>\n
                            \u4fdd\u5b58\u6587\u4ef6<\/strong><\/h2>\n
                            workbook.save('\u65b0\u6587\u4ef6\u8def\u5f84.xlsx')<\/p>\n
                            <\/code><\/pre>\n<\/p>\n
                            \u5728\u4ee3\u7801\u4e2d\uff0cworkbook.create_sheet()<\/code>\u51fd\u6570\u7528\u4e8e\u521b\u5efa\u65b0\u7684\u5de5\u4f5c\u8868\uff0csheet['A1'] = 'Hello, World!'<\/code>\u7528\u4e8e\u5411\u5355\u5143\u683c\u5199\u5165\u6570\u636e\uff0cworkbook.save()<\/code>\u51fd\u6570\u7528\u4e8e\u4fdd\u5b58\u6587\u4ef6\u3002<\/p>\n<\/p>\n
                            \u5341\u3001\u7ed3\u8bba<\/p>\n<\/p>\n
                            Python\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\uff0c\u5305\u62ecpandas\u3001xlrd\u3001openpyxl\u3001pyxlsb\u7b49\u5e93\u3002\u6bcf\u4e2a\u5e93\u90fd\u6709\u5176\u7279\u5b9a\u7684\u7528\u9014\u548c\u4f18\u52bf\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\u3002<\/p>\n<\/p>\n
                              \n
                            • pandas\u5e93\u529f\u80fd\u5f3a\u5927\uff0c\u652f\u6301\u591a\u79cd\u6570\u636e\u683c\u5f0f\u7684\u8bfb\u53d6\u548c\u5199\u5165\uff0c\u9002\u5408\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u573a\u666f\u3002<\/strong><\/li>\n
                            • xlrd\u5e93\u4e13\u95e8\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u652f\u6301xls\u683c\u5f0f\u7684\u6587\u4ef6\uff0c\u9002\u5408\u7b80\u5355\u7684\u6570\u636e\u8bfb\u53d6\u4efb\u52a1\u3002<\/strong><\/li>\n
                            • openpyxl\u5e93\u4e3b\u8981\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165xlsx\u683c\u5f0f\u7684Excel\u6587\u4ef6\uff0c\u529f\u80fd\u5168\u9762\uff0c\u9002\u5408\u5904\u7406\u73b0\u4ee3Excel\u6587\u4ef6\u3002<\/strong><\/li>\n
                            • pyxlsb\u5e93\u7528\u4e8e\u8bfb\u53d6Excel\u4e8c\u8fdb\u5236\u6587\u4ef6\uff08xlsb\u683c\u5f0f\uff09\uff0c\u9002\u5408\u5904\u7406\u5927\u578bExcel\u6587\u4ef6\u3002<\/strong><\/li>\n<\/ul>\n
                              \u5728\u4f7f\u7528\u8fd9\u4e9b\u5e93\u65f6\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\uff0c\u5e76\u7ed3\u5408\u5177\u4f53\u7684\u4ee3\u7801\u793a\u4f8b\u6765\u5b9e\u73b0\u5bf9Excel\u6587\u4ef6\u7684\u8bfb\u53d6\u548c\u5199\u5165\u3002\u901a\u8fc7\u5408\u7406\u4f7f\u7528\u8fd9\u4e9b\u5e93\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u5904\u7406Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\uff0c\u6ee1\u8db3\u5404\u79cd\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u9700\u6c42\u3002<\/p>\n<\/p>\n
                              \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                               \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6xls\u6587\u4ef6\u5e76\u63d0\u53d6\u6570\u636e\uff1f<\/strong>
                              \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528xlrd<\/code>\u5e93\u6765\u8bfb\u53d6xls\u6587\u4ef6\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5\u8be5\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528pip install xlrd<\/code>\u8fdb\u884c\u5b89\u88c5\u3002\u63a5\u4e0b\u6765\uff0c\u901a\u8fc7\u6253\u5f00\u6587\u4ef6\u5e76\u9009\u62e9\u5de5\u4f5c\u8868\uff0c\u53ef\u4ee5\u63d0\u53d6\u6570\u636e\u3002\u4f8b\u5982\uff1a<\/p>\n
                              import xlrd\n\n# \u6253\u5f00xls\u6587\u4ef6\nworkbook = xlrd.open_workbook('example.xls')\n# \u9009\u62e9\u7b2c\u4e00\u4e2a\u5de5\u4f5c\u8868\nsheet = workbook.sheet_by_index(0)\n# \u63d0\u53d6\u5355\u5143\u683c\u6570\u636e\ndata = sheet.cell_value(0, 0)  # \u83b7\u53d6\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\u7684\u6570\u636e\nprint(data)\n<\/code><\/pre>\n
                              \u9664\u4e86xlrd\uff0c\u8fd8\u6709\u54ea\u4e9b\u5e93\u53ef\u4ee5\u8bfb\u53d6xls\u6587\u4ef6\uff1f<\/strong>
                              \u9664\u4e86xlrd<\/code>\uff0cpandas<\/code>\u5e93\u4e5f\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u9009\u62e9\u3002pandas<\/code>\u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\u3002\u53ef\u4ee5\u4f7f\u7528read_excel<\/code>\u65b9\u6cd5\u8f7b\u677e\u8bfb\u53d6xls\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n
                              import pandas as pd\n\n# \u8bfb\u53d6xls\u6587\u4ef6\ndf = pd.read_excel('example.xls')\nprint(df)\n<\/code><\/pre>\n
                              \u8bfb\u53d6xls\u6587\u4ef6\u65f6\uff0c\u5982\u4f55\u5904\u7406\u6587\u4ef6\u4e2d\u7684\u7a7a\u5355\u5143\u683c\uff1f<\/strong>
                              \u5728\u4f7f\u7528pandas<\/code>\u8bfb\u53d6xls\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7fillna<\/code>\u65b9\u6cd5\u5904\u7406\u7a7a\u5355\u5143\u683c\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5c06\u7a7a\u5355\u5143\u683c\u586b\u5145\u4e3a\u7279\u5b9a\u503c\u6216\u5220\u9664\u5305\u542b\u7a7a\u5355\u5143\u683c\u7684\u884c\u3002\u4ee5\u4e0b\u662f\u793a\u4f8b\uff1a<\/p>\n
                              df.fillna(0, inplace=True)  # \u5c06\u7a7a\u5355\u5143\u683c\u586b\u5145\u4e3a0\n# \u6216\u8005\ndf.dropna(inplace=True)  # \u5220\u9664\u5305\u542b\u7a7a\u5355\u5143\u683c\u7684\u884c\nprint(df)\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"Python\u8bfb\u53d6xls\u6587\u4ef6\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528pandas\u3001xlrd\u3001openpyxl\u3001pyxlsb\u7b49\u5e93\u3001\u5176\u4e2dpan […]","protected":false},"author":3,"featured_media":1151538,"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\/1151528"}],"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=1151528"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1151528\/revisions"}],"predecessor-version":[{"id":1151539,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1151528\/revisions\/1151539"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1151538"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1151528"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1151528"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1151528"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}