{"id":1094062,"date":"2025-01-08T14:37:18","date_gmt":"2025-01-08T06:37:18","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1094062.html"},"modified":"2025-01-08T14:37:20","modified_gmt":"2025-01-08T06:37:20","slug":"python%e5%a6%82%e4%bd%95%e5%86%99%e5%85%a5%e5%b7%b2%e5%ad%98%e5%9c%a8%e7%9a%84%e8%a1%a8%e6%a0%bc-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1094062.html","title":{"rendered":"Python\u5982\u4f55\u5199\u5165\u5df2\u5b58\u5728\u7684\u8868\u683c"},"content":{"rendered":"

\"Python\u5982\u4f55\u5199\u5165\u5df2\u5b58\u5728\u7684\u8868\u683c\"<\/p>\n

\u8981\u5c06\u6570\u636e\u5199\u5165\u5df2\u5b58\u5728\u7684\u8868\u683c\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684\u591a\u4e2a\u5e93\uff0c\u8fd9\u4e9b\u5e93\u5206\u522b\u662f\uff1aPandas\u3001Openpyxl\u3001XlsxWriter\u3002<\/strong>\u5176\u4e2d\uff0cPandas\u5e93\u7ed3\u5408Openpyxl\u5e93\u662f\u6700\u5e38\u7528\u7684\u65b9\u5f0f\uff0c\u56e0\u4e3a\u5b83\u4eec\u529f\u80fd\u5f3a\u5927\u4e14\u6613\u4e8e\u4f7f\u7528\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u4f7f\u7528Pandas\u548cOpenpyxl\u5e93\u6765\u5199\u5165\u5df2\u5b58\u5728\u7684\u8868\u683c\u3002<\/p>\n<\/p>\n

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

\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u4f60\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86Pandas\u548cOpenpyxl\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528pip\u547d\u4ee4\u6765\u5b89\u88c5\u8fd9\u4e9b\u5e93\uff1a<\/p>\n<\/p>\n

pip install pandas openpyxl<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528Pandas\u548cOpenpyxl\u5199\u5165\u8868\u683c<\/h3>\n<\/p>\n
1. \u5bfc\u5165\u5e93\u5e76\u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\uff0c\u5e76\u8bfb\u53d6Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
from openpyxl import load_workbook<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
file_path = 'your_excel_file.xlsx'<\/p>\n
workbook = load_workbook(file_path)<\/p>\n
sheet_name = workbook.sheetnames[0]  # \u5047\u8bbe\u6211\u4eec\u64cd\u4f5c\u7b2c\u4e00\u4e2a\u5de5\u4f5c\u8868<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u4fee\u6539\u8868\u683c\u5185\u5bb9<\/h4>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u53ef\u4ee5\u5bf9\u8868\u683c\u5185\u5bb9\u8fdb\u884c\u4fee\u6539\u3002\u5047\u8bbe\u6211\u4eec\u8981\u6dfb\u52a0\u4e00\u884c\u65b0\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
# \u4f7f\u7528Pandas\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u8868\u683c\u5185\u5bb9<\/p>\n
df = pd.read_excel(file_path, sheet_name=sheet_name)<\/p>\n
\u521b\u5efa\u65b0\u7684\u6570\u636e\u884c<\/strong><\/h2>\n
new_data = {'Column1': 'New Value 1', 'Column2': 'New Value 2', 'Column3': 'New Value 3'}<\/p>\n
\u5c06\u65b0\u6570\u636e\u6dfb\u52a0\u5230DataFrame\u4e2d<\/strong><\/h2>\n
df = df.append(new_data, ignore_index=True)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u5c06\u4fee\u6539\u540e\u7684\u5185\u5bb9\u5199\u5165Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u6700\u540e\uff0c\u6211\u4eec\u5c06\u4fee\u6539\u540e\u7684\u5185\u5bb9\u5199\u56deExcel\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
# \u5c06DataFrame\u5199\u5165Excel\u6587\u4ef6<\/p>\n
with pd.ExcelWriter(file_path, engine='openpyxl', mode='a') as writer:<\/p>\n
    df.to_excel(writer, sheet_name=sheet_name, index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u5176\u4ed6\u65b9\u6cd5<\/h3>\n<\/p>\n
1. \u4f7f\u7528Openpyxl\u76f4\u63a5\u64cd\u4f5c\u8868\u683c<\/h4>\n<\/p>\n
\u9664\u4e86\u4f7f\u7528Pandas\u5e93\uff0c\u4f60\u8fd8\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528Openpyxl\u5e93\u6765\u64cd\u4f5cExcel\u8868\u683c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528Openpyxl\u5e93\u76f4\u63a5\u5411\u8868\u683c\u4e2d\u6dfb\u52a0\u6570\u636e\u3002<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
workbook = load_workbook('your_excel_file.xlsx')<\/p>\n
sheet = workbook.active<\/p>\n
\u6dfb\u52a0\u65b0\u6570\u636e\u5230\u8868\u683c<\/strong><\/h2>\n
sheet.append(['New Value 1', 'New Value 2', 'New Value 3'])<\/p>\n
\u4fdd\u5b58\u4fee\u6539\u540e\u7684Excel\u6587\u4ef6<\/strong><\/h2>\n
workbook.save('your_excel_file.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u4f7f\u7528XlsxWriter\u5e93<\/h4>\n<\/p>\n
XlsxWriter\u5e93\u4e5f\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u64cd\u4f5cExcel\u8868\u683c\u7684\u5e93\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528XlsxWriter\u5e93\u5411\u8868\u683c\u4e2d\u5199\u5165\u6570\u636e\u3002<\/p>\n<\/p>\n
import xlsxwriter<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u65b0\u7684Excel\u6587\u4ef6\u5e76\u6dfb\u52a0\u4e00\u4e2a\u5de5\u4f5c\u8868<\/strong><\/h2>\n
workbook = xlsxwriter.Workbook('your_excel_file.xlsx')<\/p>\n
worksheet = workbook.add_worksheet()<\/p>\n
\u6dfb\u52a0\u65b0\u6570\u636e\u5230\u8868\u683c<\/strong><\/h2>\n
worksheet.write('A1', 'New Value 1')<\/p>\n
worksheet.write('B1', 'New Value 2')<\/p>\n
worksheet.write('C1', 'New Value 3')<\/p>\n
\u5173\u95ed\u5e76\u4fdd\u5b58Excel\u6587\u4ef6<\/strong><\/h2>\n
workbook.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u5730\u4f7f\u7528Python\u5199\u5165\u5df2\u5b58\u5728\u7684Excel\u8868\u683c\u3002\u65e0\u8bba\u662f\u4f7f\u7528Pandas\u5e93\u7ed3\u5408Openpyxl\u5e93\uff0c\u8fd8\u662f\u76f4\u63a5\u4f7f\u7528Openpyxl\u5e93\u6216XlsxWriter\u5e93\uff0c\u90fd\u80fd\u591f\u5e2e\u52a9\u4f60\u9ad8\u6548\u5730\u5b8c\u6210\u8fd9\u4e00\u4efb\u52a1\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\u548c\u65b9\u6cd5\uff0c\u53ef\u4ee5\u63d0\u5347\u4f60\u7684\u5de5\u4f5c\u6548\u7387\uff0c\u5e76\u786e\u4fdd\u6570\u636e\u5904\u7406\u7684\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u66f4\u65b0\u5df2\u6709Excel\u8868\u683c\u4e2d\u7684\u6570\u636e\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u6765\u66f4\u65b0\u5df2\u5b58\u5728\u7684Excel\u8868\u683c\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u5b89\u88c5openpyxl<\/code>\u548cpandas<\/code>\u5e93\u3002\u901a\u8fc7pandas.read_excel()<\/code>\u8bfb\u53d6\u8868\u683c\u5185\u5bb9\uff0c\u5bf9\u6570\u636e\u8fdb\u884c\u4fee\u6539\u540e\uff0c\u518d\u4f7f\u7528DataFrame.to_excel()<\/code>\u65b9\u6cd5\u5c06\u66f4\u65b0\u540e\u7684\u6570\u636e\u5199\u56de\u539f\u8868\u683c\uff0c\u786e\u4fddindex=False<\/code>\u4ee5\u907f\u514d\u5728\u8f93\u51fa\u65f6\u6dfb\u52a0\u591a\u4f59\u7684\u7d22\u5f15\u5217\u3002<\/p>\n
Python\u662f\u5426\u652f\u6301\u540c\u65f6\u5199\u5165\u591a\u4e2a\u5de5\u4f5c\u8868\uff1f<\/strong>
\u662f\u7684\uff0cPython\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u7684ExcelWriter<\/code>\u529f\u80fd\u5b9e\u73b0\u540c\u65f6\u5199\u5165\u591a\u4e2a\u5de5\u4f5c\u8868\u3002\u521b\u5efaExcelWriter<\/code>\u5bf9\u8c61\u5e76\u6307\u5b9a\u6587\u4ef6\u8def\u5f84\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528to_excel()<\/code>\u65b9\u6cd5\u4e3a\u6bcf\u4e2aDataFrame<\/code>\u6307\u5b9a\u4e0d\u540c\u7684\u5de5\u4f5c\u8868\u540d\u79f0\u3002\u5b8c\u6210\u540e\uff0c\u8bb0\u5f97\u8c03\u7528save()<\/code>\u65b9\u6cd5\u4ee5\u4fdd\u5b58\u6587\u4ef6\u3002<\/p>\n
\u5728\u5199\u5165\u8868\u683c\u65f6\u5982\u4f55\u5904\u7406\u683c\u5f0f\u548c\u6837\u5f0f\u95ee\u9898\uff1f<\/strong>
\u5982\u679c\u5e0c\u671b\u5728\u5199\u5165Excel\u65f6\u4fdd\u7559\u7279\u5b9a\u7684\u683c\u5f0f\u548c\u6837\u5f0f\uff0c\u53ef\u4ee5\u4f7f\u7528openpyxl<\/code>\u5e93\u3002\u8be5\u5e93\u652f\u6301\u5bf9Excel\u5355\u5143\u683c\u7684\u683c\u5f0f\u3001\u5b57\u4f53\u3001\u989c\u8272\u7b49\u8fdb\u884c\u7ec6\u81f4\u7684\u63a7\u5236\u3002\u60a8\u53ef\u4ee5\u5148\u8bfb\u53d6\u5df2\u6709\u7684Excel\u6587\u4ef6\uff0c\u4fee\u6539\u6570\u636e\u540e\uff0c\u4f7f\u7528openpyxl<\/code>\u5bf9\u5355\u5143\u683c\u6837\u5f0f\u8fdb\u884c\u8bbe\u7f6e\uff0c\u6700\u540e\u4fdd\u5b58\u6587\u4ef6\u3002\u8fd9\u6837\u53ef\u4ee5\u4fdd\u8bc1\u6570\u636e\u7684\u51c6\u786e\u6027\u4e0e\u89c6\u89c9\u6548\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u5c06\u6570\u636e\u5199\u5165\u5df2\u5b58\u5728\u7684\u8868\u683c\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684\u591a\u4e2a\u5e93\uff0c\u8fd9\u4e9b\u5e93\u5206\u522b\u662f\uff1aPandas\u3001Openpyxl\u3001Xls […]","protected":false},"author":3,"featured_media":1094069,"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\/1094062"}],"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=1094062"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1094062\/revisions"}],"predecessor-version":[{"id":1094071,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1094062\/revisions\/1094071"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1094069"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1094062"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1094062"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1094062"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}