{"id":1097802,"date":"2025-01-08T15:15:20","date_gmt":"2025-01-08T07:15:20","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1097802.html"},"modified":"2025-01-08T15:15:22","modified_gmt":"2025-01-08T07:15:22","slug":"python%e5%a6%82%e4%bd%95%e9%81%8d%e5%8e%86excel%e7%9a%84%e6%95%b0%e6%8d%ae%e7%bb%93%e6%9e%84-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1097802.html","title":{"rendered":"python\u5982\u4f55\u904d\u5386excel\u7684\u6570\u636e\u7ed3\u6784"},"content":{"rendered":"

\"python\u5982\u4f55\u904d\u5386excel\u7684\u6570\u636e\u7ed3\u6784\"<\/p>\n

\u4f7f\u7528Python\u904d\u5386Excel\u6570\u636e\u7ed3\u6784\u7684\u51e0\u79cd\u65b9\u6cd5\u6709\uff1a\u4f7f\u7528pandas\u5e93\u3001\u4f7f\u7528openpyxl\u5e93\u3001\u4f7f\u7528xlrd\u5e93\u3001\u4f7f\u7528xlwings\u5e93<\/strong>\u3002\u5176\u4e2d\uff0cpandas\u5e93<\/strong>\u662f\u6700\u5e38\u7528\u4e14\u6700\u5f3a\u5927\u7684\u65b9\u6cd5\u4e4b\u4e00\uff0c\u56e0\u4e3a\u5b83\u4e0d\u4ec5\u53ef\u4ee5\u8f7b\u677e\u5730\u8bfb\u53d6\u548c\u64cd\u4f5cExcel\u6587\u4ef6\uff0c\u8fd8\u53ef\u4ee5\u8fdb\u884c\u9ad8\u6548\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528pandas\u5e93\u904d\u5386Excel\u6570\u636e\u7ed3\u6784\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528pandas\u5e93<\/h3>\n<\/p>\n

pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u5e93\uff0c\u652f\u6301\u591a\u79cd\u6570\u636e\u683c\u5f0f\uff0c\u5305\u62ecExcel\u6587\u4ef6\u3002\u4f7f\u7528pandas\u5e93\u904d\u5386Excel\u6570\u636e\u7ed3\u6784\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u51e0\u884c\u4ee3\u7801\u5373\u53ef\u5b8c\u6210\u3002<\/p>\n<\/p>\n

1\u3001\u5b89\u88c5pandas\u5e93<\/h4>\n<\/p>\n

\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u8bf7\u786e\u4fdd\u5df2\u5b89\u88c5pandas\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u4f7f\u7528pandas.read_excel()<\/code>\u51fd\u6570\u8bfb\u53d6Excel\u6587\u4ef6\u3002\u8be5\u51fd\u6570\u652f\u6301\u591a\u79cd\u53c2\u6570\uff0c\u53ef\u6839\u636e\u9700\u8981\u8fdb\u884c\u914d\u7f6e\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u6307\u5b9a\u8981\u8bfb\u53d6\u7684\u5de5\u4f5c\u8868\u3001\u6570\u636e\u7c7b\u578b\u3001\u8df3\u8fc7\u7684\u884c\u7b49\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_excel('example.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u904d\u5386Excel\u6570\u636e<\/h4>\n<\/p>\n
pandas\u5e93\u63d0\u4f9b\u4e86\u591a\u79cd\u904d\u5386\u6570\u636e\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u904d\u5386\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
\u904d\u5386\u6240\u6709\u884c<\/strong><\/p>\n
\u4f7f\u7528DataFrame.iterrows()<\/code>\u51fd\u6570\u53ef\u4ee5\u9010\u884c\u904d\u5386\u6570\u636e\uff0c\u6bcf\u6b21\u8fd4\u56de\u4e00\u4e2a\u7d22\u5f15\u548c\u4e00\u884c\u6570\u636e\u3002<\/p>\n<\/p>\n
for index, row in df.iterrows():<\/p>\n
    print(f"Index: {index}, Row: {row}")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u904d\u5386\u6240\u6709\u5217<\/strong><\/p>\n
\u4f7f\u7528DataFrame.iteritems()<\/code>\u51fd\u6570\u53ef\u4ee5\u9010\u5217\u904d\u5386\u6570\u636e\uff0c\u6bcf\u6b21\u8fd4\u56de\u4e00\u4e2a\u5217\u540d\u548c\u5217\u6570\u636e\u3002<\/p>\n<\/p>\n
for col_name, col_data in df.iteritems():<\/p>\n
    print(f"Column: {col_name}, Data: {col_data}")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u904d\u5386\u6240\u6709\u5143\u7d20<\/strong><\/p>\n
\u4f7f\u7528DataFrame.itertuples()<\/code>\u51fd\u6570\u53ef\u4ee5\u5c06\u6bcf\u884c\u6570\u636e\u4f5c\u4e3a\u4e00\u4e2a\u547d\u540d\u5143\u7ec4\u8fd4\u56de\uff0c\u4fbf\u4e8e\u8bbf\u95ee\u6bcf\u4e2a\u5143\u7d20\u3002<\/p>\n<\/p>\n
for row in df.itertuples():<\/p>\n
    print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528openpyxl\u5e93<\/h3>\n<\/p>\n
openpyxl\u662f\u53e6\u4e00\u4e2a\u5e38\u7528\u7684Excel\u64cd\u4f5c\u5e93\uff0c\u9002\u7528\u4e8eExcel 2010\u53ca\u66f4\u9ad8\u7248\u672c\u3002\u5b83\u652f\u6301\u8bfb\u53d6\u3001\u5199\u5165\u548c\u4fee\u6539Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5openpyxl\u5e93<\/h4>\n<\/p>\n
\u5982\u679c\u672a\u5b89\u88c5openpyxl\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install openpyxl<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528openpyxl.load_workbook()<\/code>\u51fd\u6570\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u5e76\u9009\u62e9\u8981\u64cd\u4f5c\u7684\u5de5\u4f5c\u8868\u3002<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
wb = load_workbook('example.xlsx')<\/p>\n
sheet = wb.active<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u904d\u5386Excel\u6570\u636e<\/h4>\n<\/p>\n
openpyxl\u5e93\u63d0\u4f9b\u4e86\u591a\u79cd\u904d\u5386\u6570\u636e\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u904d\u5386\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
\u904d\u5386\u6240\u6709\u884c<\/strong><\/p>\n
\u4f7f\u7528\u5de5\u4f5c\u8868\u5bf9\u8c61\u7684iter_rows()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u9010\u884c\u904d\u5386\u6570\u636e\uff0c\u6bcf\u6b21\u8fd4\u56de\u4e00\u4e2a\u5143\u7ec4\uff0c\u5305\u542b\u4e00\u884c\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
for row in sheet.iter_rows(values_only=True):<\/p>\n
    print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u904d\u5386\u6240\u6709\u5217<\/strong><\/p>\n
\u4f7f\u7528\u5de5\u4f5c\u8868\u5bf9\u8c61\u7684iter_cols()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u9010\u5217\u904d\u5386\u6570\u636e\uff0c\u6bcf\u6b21\u8fd4\u56de\u4e00\u4e2a\u5143\u7ec4\uff0c\u5305\u542b\u4e00\u5217\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
for col in sheet.iter_cols(values_only=True):<\/p>\n
    print(col)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u904d\u5386\u6240\u6709\u5355\u5143\u683c<\/strong><\/p>\n
\u4f7f\u7528\u5de5\u4f5c\u8868\u5bf9\u8c61\u7684iter_rows()<\/code>\u65b9\u6cd5\u548citer_cols()<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u9010\u884c\u6216\u9010\u5217\u904d\u5386\u6240\u6709\u5355\u5143\u683c\u3002<\/p>\n<\/p>\n
for row in sheet.iter_rows():<\/p>\n
    for cell in row:<\/p>\n
        print(cell.value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528xlrd\u5e93<\/h3>\n<\/p>\n
xlrd\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\u7684\u5e93\uff0c\u9002\u7528\u4e8eExcel 97-2003\u683c\u5f0f\uff08.xls\uff09\u3002\u5bf9\u4e8eExcel 2007\u53ca\u66f4\u9ad8\u7248\u672c\uff08.xlsx\uff09\uff0c\u5efa\u8bae\u4f7f\u7528openpyxl\u5e93\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5xlrd\u5e93<\/h4>\n<\/p>\n
\u5982\u679c\u672a\u5b89\u88c5xlrd\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install xlrd<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528xlrd.open_workbook()<\/code>\u51fd\u6570\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u5e76\u9009\u62e9\u8981\u64cd\u4f5c\u7684\u5de5\u4f5c\u8868\u3002<\/p>\n<\/p>\n
import xlrd<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
workbook = xlrd.open_workbook('example.xls')<\/p>\n
sheet = workbook.sheet_by_index(0)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u904d\u5386Excel\u6570\u636e<\/h4>\n<\/p>\n
xlrd\u5e93\u63d0\u4f9b\u4e86\u591a\u79cd\u904d\u5386\u6570\u636e\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u904d\u5386\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
\u904d\u5386\u6240\u6709\u884c<\/strong><\/p>\n
\u4f7f\u7528\u5de5\u4f5c\u8868\u5bf9\u8c61\u7684get_rows()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u9010\u884c\u904d\u5386\u6570\u636e\uff0c\u6bcf\u6b21\u8fd4\u56de\u4e00\u4e2a\u751f\u6210\u5668\uff0c\u5305\u542b\u4e00\u884c\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
for row in sheet.get_rows():<\/p>\n
    print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u904d\u5386\u6240\u6709\u5217<\/strong><\/p>\n
\u4f7f\u7528\u5de5\u4f5c\u8868\u5bf9\u8c61\u7684col_values()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u9010\u5217\u904d\u5386\u6570\u636e\uff0c\u6bcf\u6b21\u8fd4\u56de\u4e00\u4e2a\u5217\u8868\uff0c\u5305\u542b\u4e00\u5217\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
for col_idx in range(sheet.ncols):<\/p>\n
    print(sheet.col_values(col_idx))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u904d\u5386\u6240\u6709\u5355\u5143\u683c<\/strong><\/p>\n
\u4f7f\u7528\u5de5\u4f5c\u8868\u5bf9\u8c61\u7684cell()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u9010\u4e2a\u5355\u5143\u683c\u904d\u5386\u6570\u636e\u3002<\/p>\n<\/p>\n
for row_idx in range(sheet.nrows):<\/p>\n
    for col_idx in range(sheet.ncols):<\/p>\n
        print(sheet.cell(row_idx, col_idx).value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u4f7f\u7528xlwings\u5e93<\/h3>\n<\/p>\n
xlwings\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684Excel\u64cd\u4f5c\u5e93\uff0c\u652f\u6301\u4e0eExcel\u7684\u53cc\u5411\u4ea4\u4e92\u3002\u5b83\u4e0d\u4ec5\u652f\u6301\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\uff0c\u8fd8\u652f\u6301\u8c03\u7528Excel\u5b8f\u548cUDF\uff08\u7528\u6237\u5b9a\u4e49\u51fd\u6570\uff09\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5xlwings\u5e93<\/h4>\n<\/p>\n
\u5982\u679c\u672a\u5b89\u88c5xlwings\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install xlwings<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528xlwings.Book()<\/code>\u51fd\u6570\u6253\u5f00Excel\u6587\u4ef6\uff0c\u5e76\u9009\u62e9\u8981\u64cd\u4f5c\u7684\u5de5\u4f5c\u8868\u3002<\/p>\n<\/p>\n
import xlwings as xw<\/p>\n
\u6253\u5f00Excel\u6587\u4ef6<\/strong><\/h2>\n
wb = xw.Book('example.xlsx')<\/p>\n
sheet = wb.sheets[0]<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u904d\u5386Excel\u6570\u636e<\/h4>\n<\/p>\n
xlwings\u5e93\u63d0\u4f9b\u4e86\u591a\u79cd\u904d\u5386\u6570\u636e\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u904d\u5386\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
\u904d\u5386\u6240\u6709\u884c<\/strong><\/p>\n
\u4f7f\u7528\u5de5\u4f5c\u8868\u5bf9\u8c61\u7684range<\/code>\u5c5e\u6027\u53ef\u4ee5\u9010\u884c\u904d\u5386\u6570\u636e\uff0c\u6bcf\u6b21\u8fd4\u56de\u4e00\u4e2a\u5217\u8868\uff0c\u5305\u542b\u4e00\u884c\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
for row in sheet.range('A1').expand('table').value:<\/p>\n
    print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u904d\u5386\u6240\u6709\u5217<\/strong><\/p>\n
\u4f7f\u7528\u5de5\u4f5c\u8868\u5bf9\u8c61\u7684range<\/code>\u5c5e\u6027\u53ef\u4ee5\u9010\u5217\u904d\u5386\u6570\u636e\uff0c\u6bcf\u6b21\u8fd4\u56de\u4e00\u4e2a\u5217\u8868\uff0c\u5305\u542b\u4e00\u5217\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
for col in zip(*sheet.range('A1').expand('table').value):<\/p>\n
    print(col)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u904d\u5386\u6240\u6709\u5355\u5143\u683c<\/strong><\/p>\n
\u4f7f\u7528\u5de5\u4f5c\u8868\u5bf9\u8c61\u7684range<\/code>\u5c5e\u6027\u53ef\u4ee5\u9010\u4e2a\u5355\u5143\u683c\u904d\u5386\u6570\u636e\u3002<\/p>\n<\/p>\n
for row in sheet.range('A1').expand('table').value:<\/p>\n
    for cell in row:<\/p>\n
        print(cell)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u603b\u7ed3<\/h3>\n<\/p>\n
\u4f7f\u7528pandas\u5e93<\/strong>\u904d\u5386Excel\u6570\u636e\u7ed3\u6784\u7684\u65b9\u6cd5\u6700\u4e3a\u4fbf\u6377\u548c\u9ad8\u6548\uff0c\u9002\u7528\u4e8e\u5927\u591a\u6570\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u4efb\u52a1\u3002openpyxl\u5e93<\/strong>\u9002\u7528\u4e8e\u9700\u8981\u4e0eExcel\u6587\u4ef6\u8fdb\u884c\u66f4\u591a\u4ea4\u4e92\u64cd\u4f5c\u7684\u573a\u666f\uff0c\u7279\u522b\u662fExcel 2010\u53ca\u66f4\u9ad8\u7248\u672c\u3002xlrd\u5e93<\/strong>\u9002\u7528\u4e8eExcel 97-2003\u683c\u5f0f\u7684\u6587\u4ef6\uff0c\u4f46\u5bf9\u4e8e\u66f4\u9ad8\u7248\u672c\u7684\u6587\u4ef6\uff0c\u5efa\u8bae\u4f7f\u7528openpyxl\u5e93\u3002xlwings\u5e93<\/strong>\u9002\u7528\u4e8e\u9700\u8981\u4e0eExcel\u8fdb\u884c\u53cc\u5411\u4ea4\u4e92\u7684\u590d\u6742\u573a\u666f\uff0c\u53ef\u4ee5\u8c03\u7528Excel\u5b8f\u548cUDF\u3002<\/p>\n<\/p>\n
\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\u548c\u65b9\u6cd5\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u904d\u5386\u548c\u64cd\u4f5cExcel\u6570\u636e\u7ed3\u6784\uff0c\u5b8c\u6210\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u4efb\u52a1\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\uff1f<\/strong>
\u8981\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u3002\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86\u8fd9\u4e2a\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6Excel\u6587\u4ef6\uff1a  <\/p>\n
import pandas as pd\n\ndf = pd.read_excel('\u6587\u4ef6\u8def\u5f84.xlsx')\nprint(df)\n<\/code><\/pre>\n
\u8fd9\u6837\u53ef\u4ee5\u5c06Excel\u6587\u4ef6\u4e2d\u7684\u6240\u6709\u6570\u636e\u52a0\u8f7d\u5230\u4e00\u4e2aDataFrame\u5bf9\u8c61\u4e2d\uff0c\u65b9\u4fbf\u540e\u7eed\u7684\u904d\u5386\u548c\u5206\u6790\u3002<\/p>\n
\u5728\u904d\u5386Excel\u6570\u636e\u65f6\uff0c\u6709\u54ea\u4e9b\u5e38\u89c1\u7684\u65b9\u6cd5\uff1f<\/strong>
\u904d\u5386Excel\u6570\u636e\u65f6\uff0c\u901a\u5e38\u53ef\u4ee5\u4f7f\u7528iterrows()<\/code>\u6216itertuples()<\/code>\u65b9\u6cd5\u3002iterrows()<\/code>\u4f1a\u8fd4\u56de\u6bcf\u4e00\u884c\u7684\u7d22\u5f15\u548c\u6570\u636e\uff0c\u800citertuples()<\/code>\u5219\u8fd4\u56de\u6bcf\u4e00\u884c\u6570\u636e\u7684\u547d\u540d\u5143\u7ec4\u3002\u4ee5\u4e0b\u662f\u793a\u4f8b\u4ee3\u7801\uff1a  <\/p>\n
for index, row in df.iterrows():\n    print(index, row['\u5217\u540d'])\n<\/code><\/pre>\n
\u4f7f\u7528itertuples()<\/code>\u7684\u793a\u4f8b\u5982\u4e0b\uff1a  <\/p>\n
for row in df.itertuples(index=False):\n    print(row.\u5217\u540d)\n<\/code><\/pre>\n
\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8\u904d\u5386\u7684\u6548\u7387\u548c\u53ef\u8bfb\u6027\u3002<\/p>\n
\u5728\u904d\u5386Excel\u6570\u636e\u65f6\uff0c\u5982\u4f55\u5904\u7406\u7a7a\u503c\u6216\u7f3a\u5931\u6570\u636e\uff1f<\/strong>
\u5728\u5904\u7406Excel\u6570\u636e\u65f6\uff0c\u5e38\u5e38\u4f1a\u9047\u5230\u7a7a\u503c\u6216\u7f3a\u5931\u6570\u636e\u3002\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u4e2d\u7684isnull()<\/code>\u65b9\u6cd5\u6765\u68c0\u6d4b\u8fd9\u4e9b\u7a7a\u503c\uff0c\u5e76\u4f7f\u7528fillna()<\/code>\u65b9\u6cd5\u8fdb\u884c\u586b\u5145\u3002\u4ee5\u4e0b\u662f\u793a\u4f8b\u4ee3\u7801\uff1a  <\/p>\n
df.fillna(0, inplace=True)  # \u5c06\u7a7a\u503c\u586b\u5145\u4e3a0\nfor index, row in df.iterrows():\n    if row['\u5217\u540d'] is None:\n        print(f"\u7b2c{index}\u884c\u7684\u5217\u540d\u4e3a\u7a7a")\n<\/code><\/pre>\n
\u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd\u5728\u904d\u5386\u6570\u636e\u65f6\u4e0d\u4f1a\u56e0\u4e3a\u7a7a\u503c\u5bfc\u81f4\u7a0b\u5e8f\u5d29\u6e83\u6216\u51fa\u73b0\u9519\u8bef\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u904d\u5386Excel\u6570\u636e\u7ed3\u6784\u7684\u51e0\u79cd\u65b9\u6cd5\u6709\uff1a\u4f7f\u7528pandas\u5e93\u3001\u4f7f\u7528openpyxl\u5e93\u3001\u4f7f\u7528xlrd\u5e93 […]","protected":false},"author":3,"featured_media":1097809,"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\/1097802"}],"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=1097802"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1097802\/revisions"}],"predecessor-version":[{"id":1097810,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1097802\/revisions\/1097810"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1097809"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1097802"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1097802"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1097802"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}