{"id":1120065,"date":"2025-01-08T18:52:22","date_gmt":"2025-01-08T10:52:22","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1120065.html"},"modified":"2025-01-08T18:52:32","modified_gmt":"2025-01-08T10:52:32","slug":"python%e5%a6%82%e4%bd%95%e5%a4%a7%e6%89%b9%e9%87%8f%e6%96%b0%e5%bb%ba%e5%b7%a5%e4%bd%9c%e8%a1%a8","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1120065.html","title":{"rendered":"python\u5982\u4f55\u5927\u6279\u91cf\u65b0\u5efa\u5de5\u4f5c\u8868"},"content":{"rendered":"

\"python\u5982\u4f55\u5927\u6279\u91cf\u65b0\u5efa\u5de5\u4f5c\u8868\"<\/p>\n

\u4f7f\u7528Python\u5927\u6279\u91cf\u65b0\u5efa\u5de5\u4f5c\u8868\u7684\u6b65\u9aa4\u5305\u62ec\uff1a\u5b89\u88c5\u5fc5\u8981\u7684\u5e93\u3001\u4f7f\u7528pandas\u548copenpyxl\u5e93\u3001\u521b\u5efa\u65b0\u7684Excel\u5de5\u4f5c\u7c3f\u3001\u6279\u91cf\u6dfb\u52a0\u5de5\u4f5c\u8868\u3001\u4fdd\u5b58\u5de5\u4f5c\u7c3f<\/strong>\u3002\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u5c06\u91cd\u70b9\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528pandas\u548copenpyxl\u8fd9\u4e24\u4e2aPython\u5e93\u6765\u5b9e\u73b0\u5927\u6279\u91cf\u65b0\u5efa\u5de5\u4f5c\u8868\u3002\u5177\u4f53\u6b65\u9aa4\u5305\u62ec\u5b89\u88c5\u5e93\u3001\u521b\u5efa\u5de5\u4f5c\u7c3f\u3001\u6dfb\u52a0\u5de5\u4f5c\u8868\u3001\u4fdd\u5b58\u6587\u4ef6<\/strong>\u3002\u4ee5\u4e0b\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4e2d\u4e00\u4e2a\u6b65\u9aa4\uff1a\u4f7f\u7528pandas\u548copenpyxl\u5e93\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b89\u88c5\u5fc5\u8981\u7684\u5e93<\/h3>\n<\/p>\n

\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86pandas<\/code>\u548copenpyxl<\/code>\u5e93\u3002\u8fd9\u4e24\u4e2a\u5e93\u662f\u5904\u7406Excel\u6587\u4ef6\u7684\u5e38\u7528\u5de5\u5177\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u5b83\u4eec\uff1a<\/p>\n<\/p>\n

pip install pandas openpyxl<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528pandas\u548copenpyxl\u5e93<\/h3>\n<\/p>\n
1\u3001\u521b\u5efa\u65b0\u7684Excel\u5de5\u4f5c\u7c3f<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u521b\u5efa\u4e00\u4e2a\u65b0\u7684Excel\u5de5\u4f5c\u7c3f\u3002\u53ef\u4ee5\u4f7f\u7528openpyxl<\/code>\u5e93\u4e2d\u7684Workbook<\/code>\u7c7b\u6765\u5b8c\u6210\u8fd9\u4e00\u64cd\u4f5c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from openpyxl import Workbook<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
wb = Workbook()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u6279\u91cf\u6dfb\u52a0\u5de5\u4f5c\u8868<\/h4>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u9700\u8981\u6279\u91cf\u6dfb\u52a0\u5de5\u4f5c\u8868\u3002\u53ef\u4ee5\u901a\u8fc7\u5faa\u73af\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u5305\u542b100\u4e2a\u5de5\u4f5c\u8868\u7684Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
# \u6dfb\u52a0\u5de5\u4f5c\u8868<\/p>\n
for i in range(1, 101):<\/p>\n
    wb.create_sheet(title=f'Sheet{i}')<\/p>\n
\u5220\u9664\u9ed8\u8ba4\u521b\u5efa\u7684\u7b2c\u4e00\u4e2a\u5de5\u4f5c\u8868<\/strong><\/h2>\n
default_sheet = wb.active<\/p>\n
wb.remove(default_sheet)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u5faa\u73af\u521b\u5efa\u4e86100\u4e2a\u5de5\u4f5c\u8868\uff0c\u5e76\u547d\u540d\u4e3aSheet1<\/code>\u5230Sheet100<\/code>\u3002\u6ce8\u610f\uff0c\u6211\u4eec\u8fd8\u5220\u9664\u4e86\u9ed8\u8ba4\u521b\u5efa\u7684\u7b2c\u4e00\u4e2a\u5de5\u4f5c\u8868\u3002<\/p>\n<\/p>\n
3\u3001\u4fdd\u5b58\u5de5\u4f5c\u7c3f<\/h4>\n<\/p>\n
\u6700\u540e\uff0c\u6211\u4eec\u9700\u8981\u5c06\u521b\u5efa\u7684\u5de5\u4f5c\u7c3f\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\u3002\u53ef\u4ee5\u4f7f\u7528save<\/code>\u65b9\u6cd5\u6765\u5b8c\u6210\u8fd9\u4e00\u64cd\u4f5c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u4fdd\u5b58\u5de5\u4f5c\u7c3f<\/p>\n
wb.save('example.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4ee5\u4e0a\u4ee3\u7801\u5c06\u521b\u5efa\u4e00\u4e2a\u540d\u4e3aexample.xlsx<\/code>\u7684Excel\u6587\u4ef6\uff0c\u5176\u4e2d\u5305\u542b100\u4e2a\u5de5\u4f5c\u8868\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u6279\u91cf\u6dfb\u52a0\u6570\u636e<\/h3>\n<\/p>\n
\u6709\u65f6\u5019\u6211\u4eec\u4e0d\u4ec5\u9700\u8981\u521b\u5efa\u591a\u4e2a\u5de5\u4f5c\u8868\uff0c\u8fd8\u9700\u8981\u5411\u6bcf\u4e2a\u5de5\u4f5c\u8868\u4e2d\u6dfb\u52a0\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u5411\u6bcf\u4e2a\u5de5\u4f5c\u8868\u4e2d\u6dfb\u52a0\u6570\u636e\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
wb = Workbook()<\/p>\n
\u6dfb\u52a0\u5de5\u4f5c\u8868\u5e76\u5199\u5165\u6570\u636e<\/strong><\/h2>\n
for i in range(1, 101):<\/p>\n
    ws = wb.create_sheet(title=f'Sheet{i}')<\/p>\n
    data = pd.DataFrame({'Column1': range(1, 11), 'Column2': range(11, 21)})<\/p>\n
    for row in data.itertuples(index=False, name=None):<\/p>\n
        ws.append(row)<\/p>\n
\u5220\u9664\u9ed8\u8ba4\u521b\u5efa\u7684\u7b2c\u4e00\u4e2a\u5de5\u4f5c\u8868<\/strong><\/h2>\n
default_sheet = wb.active<\/p>\n
wb.remove(default_sheet)<\/p>\n
\u4fdd\u5b58\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
wb.save('example_with_data.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528pandas<\/code>\u5e93\u521b\u5efa\u4e86\u4e00\u4e9b\u793a\u4f8b\u6570\u636e\uff0c\u5e76\u5c06\u5176\u5199\u5165\u6bcf\u4e2a\u5de5\u4f5c\u8868\u4e2d\u3002DataFrame.itertuples<\/code>\u65b9\u6cd5\u7528\u4e8e\u5c06\u6570\u636e\u9010\u884c\u6dfb\u52a0\u5230\u5de5\u4f5c\u8868\u4e2d\u3002<\/p>\n<\/p>\n
\u56db\u3001\u63d0\u9ad8\u4ee3\u7801\u6548\u7387<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u9700\u8981\u521b\u5efa\u5927\u91cf\u5de5\u4f5c\u8868\uff0c\u4ee3\u7801\u7684\u6267\u884c\u6548\u7387\u53ef\u80fd\u4f1a\u6210\u4e3a\u4e00\u4e2a\u95ee\u9898\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u63d0\u9ad8\u4ee3\u7801\u6548\u7387\u7684\u5efa\u8bae\uff1a<\/p>\n<\/p>\n
1\u3001\u51cf\u5c11I\/O\u64cd\u4f5c<\/h4>\n<\/p>\n
\u5c3d\u91cf\u51cf\u5c11\u5bf9\u6587\u4ef6\u7684\u8bfb\u5199\u64cd\u4f5c\u3002\u53ef\u4ee5\u5148\u5c06\u6240\u6709\u6570\u636e\u5199\u5165\u5185\u5b58\u4e2d\u7684\u5de5\u4f5c\u7c3f\u5bf9\u8c61\uff0c\u6700\u540e\u4e00\u6b21\u6027\u4fdd\u5b58\u6587\u4ef6\u3002<\/p>\n<\/p>\n
2\u3001\u4f7f\u7528\u591a\u7ebf\u7a0b\u6216\u591a\u8fdb\u7a0b<\/h4>\n<\/p>\n
\u5bf9\u4e8e\u975e\u5e38\u5927\u89c4\u6a21\u7684\u64cd\u4f5c\uff0c\u53ef\u4ee5\u8003\u8651\u4f7f\u7528\u591a\u7ebf\u7a0b\u6216\u591a\u8fdb\u7a0b\u6765\u52a0\u901f\u4ee3\u7801\u6267\u884c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528\u591a\u8fdb\u7a0b\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import multiprocessing as mp<\/p>\n
from openpyxl import Workbook<\/p>\n
def create_sheet(wb, sheet_name, data):<\/p>\n
    ws = wb.create_sheet(title=sheet_name)<\/p>\n
    for row in data.itertuples(index=False, name=None):<\/p>\n
        ws.append(row)<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
wb = Workbook()<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
data = pd.DataFrame({'Column1': range(1, 11), 'Column2': range(11, 21)})<\/p>\n
\u4f7f\u7528\u591a\u8fdb\u7a0b\u6279\u91cf\u521b\u5efa\u5de5\u4f5c\u8868<\/strong><\/h2>\n
with mp.Pool(processes=4) as pool:<\/p>\n
    tasks = [(wb, f'Sheet{i}', data) for i in range(1, 101)]<\/p>\n
    pool.starmap(create_sheet, tasks)<\/p>\n
\u5220\u9664\u9ed8\u8ba4\u521b\u5efa\u7684\u7b2c\u4e00\u4e2a\u5de5\u4f5c\u8868<\/strong><\/h2>\n
default_sheet = wb.active<\/p>\n
wb.remove(default_sheet)<\/p>\n
\u4fdd\u5b58\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
wb.save('example_with_multiprocessing.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528multiprocessing<\/code>\u5e93\u7684Pool<\/code>\u7c7b\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b4\u4e2a\u8fdb\u7a0b\u7684\u8fdb\u7a0b\u6c60\uff0c\u5e76\u901a\u8fc7starmap<\/code>\u65b9\u6cd5\u6279\u91cf\u521b\u5efa\u5de5\u4f5c\u8868\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528Python\u7684\u5927\u6279\u91cf\u65b0\u5efa\u5de5\u4f5c\u8868\u3002\u6211\u4eec\u8be6\u7ec6\u8bb2\u89e3\u4e86\u5b89\u88c5\u5fc5\u8981\u7684\u5e93\u3001\u4f7f\u7528pandas\u548copenpyxl\u5e93\u3001\u521b\u5efa\u65b0\u7684Excel\u5de5\u4f5c\u7c3f\u3001\u6279\u91cf\u6dfb\u52a0\u5de5\u4f5c\u8868\u3001\u4fdd\u5b58\u5de5\u4f5c\u7c3f\uff0c\u5e76\u63d0\u4f9b\u4e86\u4e00\u4e9b\u63d0\u9ad8\u4ee3\u7801\u6548\u7387\u7684\u5efa\u8bae\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u80fd\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u5904\u7406Excel\u6587\u4ef6\u3002\u5982\u679c\u4f60\u6709\u4efb\u4f55\u95ee\u9898\u6216\u5efa\u8bae\uff0c\u8bf7\u968f\u65f6\u7559\u8a00\u8ba8\u8bba\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u6279\u91cf\u521b\u5efa\u591a\u4e2a\u5de5\u4f5c\u8868\uff1f<\/strong>
\u4f7f\u7528Python\u7684openpyxl\u6216pandas\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u5728Excel\u6587\u4ef6\u4e2d\u6279\u91cf\u521b\u5efa\u591a\u4e2a\u5de5\u4f5c\u8868\u3002\u901a\u8fc7\u5faa\u73af\u7ed3\u6784\uff0c\u60a8\u53ef\u4ee5\u5feb\u901f\u751f\u6210\u6240\u9700\u6570\u91cf\u7684\u5de5\u4f5c\u8868\uff0c\u5e76\u4e3a\u6bcf\u4e2a\u5de5\u4f5c\u8868\u547d\u540d\uff0c\u786e\u4fdd\u6570\u636e\u7684\u7ec4\u7ec7\u548c\u53ef\u8bfb\u6027\u3002<\/p>\n
\u4f7f\u7528\u54ea\u4e9b\u5e93\u53ef\u4ee5\u5b9e\u73b0\u6279\u91cf\u521b\u5efa\u5de5\u4f5c\u8868\u7684\u529f\u80fd\uff1f<\/strong>
\u5728Python\u4e2d\uff0copenpyxl\u548cpandas\u662f\u6700\u5e38\u7528\u7684\u5e93\u3002openpyxl\u4e13\u6ce8\u4e8eExcel\u6587\u4ef6\u7684\u8bfb\u5199\u64cd\u4f5c\uff0c\u800cpandas\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u529f\u80fd\uff0c\u540c\u65f6\u4e5f\u53ef\u4ee5\u5904\u7406Excel\u6587\u4ef6\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\uff0c\u53ef\u4ee5\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002<\/p>\n
\u5982\u4f55\u547d\u540d\u65b0\u521b\u5efa\u7684\u5de5\u4f5c\u8868\u4ee5\u4fbf\u4e8e\u7ba1\u7406\uff1f<\/strong>
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