{"id":1088188,"date":"2025-01-08T13:42:05","date_gmt":"2025-01-08T05:42:05","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1088188.html"},"modified":"2025-01-08T13:42:07","modified_gmt":"2025-01-08T05:42:07","slug":"%e5%a6%82%e4%bd%95%e5%b0%86python%e6%95%b0%e6%8d%ae%e5%af%bc%e5%88%b0excel-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1088188.html","title":{"rendered":"\u5982\u4f55\u5c06python\u6570\u636e\u5bfc\u5230excel"},"content":{"rendered":"

\"\u5982\u4f55\u5c06python\u6570\u636e\u5bfc\u5230excel\"<\/p>\n

\u5982\u4f55\u5c06Python\u6570\u636e\u5bfc\u5230Excel<\/strong><\/p>\n<\/p>\n

\u8981\u5c06Python\u6570\u636e\u5bfc\u5165Excel\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\uff0c\u5982pandas\u5e93\u3001openpyxl\u5e93\u3001xlsxwriter\u5e93\u3001csv\u5e93<\/strong>\u7b49\u3002\u5176\u4e2dpandas\u5e93\u662f\u6700\u5e38\u7528\u7684\uff0c\u56e0\u4e3a\u5b83\u4e0d\u4ec5\u529f\u80fd\u5f3a\u5927\uff0c\u800c\u4e14\u4f7f\u7528\u7b80\u5355<\/strong>\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528pandas\u5e93\u5c06Python\u6570\u636e\u5bfc\u5165Excel\uff0c\u5e76\u63d0\u4f9b\u4e00\u4e9b\u4ee3\u7801\u793a\u4f8b\u3002<\/p>\n<\/p>\n

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

pandas\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u6570\u636e\u5904\u7406\u5e93\u4e4b\u4e00\uff0c\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\u3002\u4f7f\u7528pandas\uff0c\u6211\u4eec\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u5c06\u6570\u636e\u5bfc\u5165Excel\u3002<\/p>\n<\/p>\n

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

\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86pandas\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\u521b\u5efaDataFrame<\/h4>\n<\/p>\n
\u5728\u5c06\u6570\u636e\u5bfc\u5165Excel\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u5148\u521b\u5efa\u4e00\u4e2apandas DataFrame\u3002DataFrame\u662fpandas\u4e2d\u6700\u5e38\u7528\u7684\u6570\u636e\u7ed3\u6784\uff0c\u5b83\u7c7b\u4f3c\u4e8eExcel\u4e2d\u7684\u8868\u683c\uff0c\u53ef\u4ee5\u5305\u542b\u884c\u548c\u5217\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
data = {<\/p>\n
    'Name': ['Alice', 'Bob', 'Charlie'],<\/p>\n
    'Age': [25, 30, 35],<\/p>\n
    'City': ['New York', 'Los Angeles', 'Chicago']<\/p>\n
}<\/p>\n
\u521b\u5efaDataFrame<\/strong><\/h2>\n
df = pd.DataFrame(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u5c06DataFrame\u5bfc\u5165Excel<\/h4>\n<\/p>\n
pandas\u63d0\u4f9b\u4e86\u4e00\u4e2a\u975e\u5e38\u65b9\u4fbf\u7684\u65b9\u6cd5to_excel<\/code>\uff0c\u53ef\u4ee5\u5c06DataFrame\u5bfc\u5165Excel\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
# \u5c06DataFrame\u5bfc\u5165Excel<\/p>\n
df.to_excel('example.xlsx', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u5c06DataFrame\u5bfc\u5165\u4e86\u540d\u4e3aexample.xlsx<\/code>\u7684Excel\u6587\u4ef6\u4e2d\uff0c\u5e76\u4e14\u6ca1\u6709\u5305\u542b\u884c\u7d22\u5f15\uff08index=False<\/code>\uff09\u3002<\/p>\n<\/p>\n
4\u3001\u6307\u5b9a\u5de5\u4f5c\u8868\u540d\u79f0<\/h4>\n<\/p>\n
\u5982\u679c\u4f60\u60f3\u6307\u5b9a\u5de5\u4f5c\u8868\u7684\u540d\u79f0\uff0c\u53ef\u4ee5\u4f7f\u7528sheet_name<\/code>\u53c2\u6570\uff1a<\/p>\n<\/p>\n
# \u5c06DataFrame\u5bfc\u5165Excel\uff0c\u5e76\u6307\u5b9a\u5de5\u4f5c\u8868\u540d\u79f0<\/p>\n
df.to_excel('example.xlsx', sheet_name='Sheet1', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528openpyxl\u5e93<\/h3>\n<\/p>\n
openpyxl\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u5199Excel 2010 xlsx\/xlsm\/xltx\/xltm\u6587\u4ef6\u7684Python\u5e93\u3002\u5982\u679c\u4f60\u9700\u8981\u5bf9Excel\u6587\u4ef6\u8fdb\u884c\u66f4\u591a\u7684\u64cd\u4f5c\uff0c\u6bd4\u5982\u683c\u5f0f\u5316\u5355\u5143\u683c\uff0c\u6dfb\u52a0\u56fe\u8868\u7b49\uff0copenpyxl\u4f1a\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5openpyxl\u5e93<\/h4>\n<\/p>\n
\u540c\u6837\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5openpyxl\u5e93\uff1a<\/p>\n<\/p>\n
pip install openpyxl<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u521b\u5efaExcel\u6587\u4ef6\u5e76\u5199\u5165\u6570\u636e<\/h4>\n<\/p>\n
\u4f7f\u7528openpyxl\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u65b0\u7684Excel\u6587\u4ef6\uff0c\u5e76\u5411\u5176\u4e2d\u5199\u5165\u6570\u636e\uff1a<\/p>\n<\/p>\n
from openpyxl import Workbook<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u65b0\u7684Excel\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
wb = Workbook()<\/p>\n
ws = wb.active<\/p>\n
\u5199\u5165\u6570\u636e<\/strong><\/h2>\n
ws.append(['Name', 'Age', 'City'])<\/p>\n
ws.append(['Alice', 25, 'New York'])<\/p>\n
ws.append(['Bob', 30, 'Los Angeles'])<\/p>\n
ws.append(['Charlie', 35, 'Chicago'])<\/p>\n
\u4fdd\u5b58Excel\u6587\u4ef6<\/strong><\/h2>\n
wb.save('example_openpyxl.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u683c\u5f0f\u5316\u5355\u5143\u683c<\/h4>\n<\/p>\n
openpyxl\u8fd8\u53ef\u4ee5\u7528\u4e8e\u683c\u5f0f\u5316\u5355\u5143\u683c\uff0c\u4f8b\u5982\u8bbe\u7f6e\u5355\u5143\u683c\u7684\u5b57\u4f53\u3001\u989c\u8272\u7b49\uff1a<\/p>\n<\/p>\n
from openpyxl.styles import Font, Color, Alignment<\/p>\n
\u8bbe\u7f6e\u5355\u5143\u683c\u6837\u5f0f<\/strong><\/h2>\n
header_font = Font(bold=True, color='FF0000')<\/p>\n
alignment = Alignment(horizontal='center')<\/p>\n
for cell in ws["1:1"]:<\/p>\n
    cell.font = header_font<\/p>\n
    cell.alignment = alignment<\/p>\n
\u4fdd\u5b58Excel\u6587\u4ef6<\/strong><\/h2>\n
wb.save('example_openpyxl.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528xlsxwriter\u5e93<\/h3>\n<\/p>\n
xlsxwriter\u662f\u53e6\u4e00\u4e2a\u7528\u4e8e\u521b\u5efaExcel\u6587\u4ef6\u7684Python\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u529f\u80fd\u548c\u66f4\u5f3a\u5927\u7684\u683c\u5f0f\u5316\u9009\u9879\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5xlsxwriter\u5e93<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u5b89\u88c5xlsxwriter\u5e93\uff1a<\/p>\n<\/p>\n
pip install xlsxwriter<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u521b\u5efaExcel\u6587\u4ef6\u5e76\u5199\u5165\u6570\u636e<\/h4>\n<\/p>\n
\u4f7f\u7528xlsxwriter\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u521b\u5efaExcel\u6587\u4ef6\u5e76\u5411\u5176\u4e2d\u5199\u5165\u6570\u636e\uff1a<\/p>\n<\/p>\n
import xlsxwriter<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u65b0\u7684Excel\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
workbook = xlsxwriter.Workbook('example_xlsxwriter.xlsx')<\/p>\n
worksheet = workbook.add_worksheet()<\/p>\n
\u5199\u5165\u6570\u636e<\/strong><\/h2>\n
data = [<\/p>\n
    ['Name', 'Age', 'City'],<\/p>\n
    ['Alice', 25, 'New York'],<\/p>\n
    ['Bob', 30, 'Los Angeles'],<\/p>\n
    ['Charlie', 35, 'Chicago']<\/p>\n
]<\/p>\n
for row_num, row_data in enumerate(data):<\/p>\n
    for col_num, cell_data in enumerate(row_data):<\/p>\n
        worksheet.write(row_num, col_num, cell_data)<\/p>\n
\u5173\u95ed\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
workbook.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u6dfb\u52a0\u56fe\u8868<\/h4>\n<\/p>\n
xlsxwriter\u8fd8\u63d0\u4f9b\u4e86\u6dfb\u52a0\u56fe\u8868\u7684\u529f\u80fd\uff0c\u4f8b\u5982\u6dfb\u52a0\u4e00\u4e2a\u67f1\u72b6\u56fe\uff1a<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2a\u65b0\u7684Excel\u5de5\u4f5c\u7c3f<\/p>\n
workbook = xlsxwriter.Workbook('example_chart.xlsx')<\/p>\n
worksheet = workbook.add_worksheet()<\/p>\n
\u5199\u5165\u6570\u636e<\/strong><\/h2>\n
data = [<\/p>\n
    ['Name', 'Age', 'City'],<\/p>\n
    ['Alice', 25, 'New York'],<\/p>\n
    ['Bob', 30, 'Los Angeles'],<\/p>\n
    ['Charlie', 35, 'Chicago']<\/p>\n
]<\/p>\n
for row_num, row_data in enumerate(data):<\/p>\n
    for col_num, cell_data in enumerate(row_data):<\/p>\n
        worksheet.write(row_num, col_num, cell_data)<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u67f1\u72b6\u56fe<\/strong><\/h2>\n
chart = workbook.add_chart({'type': 'column'})<\/p>\n
\u914d\u7f6e\u56fe\u8868\u6570\u636e\u7cfb\u5217<\/strong><\/h2>\n
chart.add_series({<\/p>\n
    'categories': '=Sheet1!$A$2:$A$4',<\/p>\n
    'values': '=Sheet1!$B$2:$B$4'<\/p>\n
})<\/p>\n
\u63d2\u5165\u56fe\u8868<\/strong><\/h2>\n
worksheet.insert_chart('E2', chart)<\/p>\n
\u5173\u95ed\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
workbook.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u4f7f\u7528csv\u5e93<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u53ea\u9700\u8981\u5c06\u6570\u636e\u5bfc\u5165Excel\u7684\u4e00\u4e2a\u7b80\u5355\u8868\u683c\u4e2d\uff0ccsv\u5e93\u4e5f\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002csv\u5e93\u662fPython\u6807\u51c6\u5e93\u7684\u4e00\u90e8\u5206\uff0c\u56e0\u6b64\u4e0d\u9700\u8981\u989d\u5916\u5b89\u88c5\u3002<\/p>\n<\/p>\n
1\u3001\u5199\u5165CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528csv\u5e93\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n
import csv<\/p>\n
\u5199\u5165CSV\u6587\u4ef6<\/strong><\/h2>\n
with open('example.csv', mode='w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerow(['Name', 'Age', 'City'])<\/p>\n
    writer.writerow(['Alice', 25, 'New York'])<\/p>\n
    writer.writerow(['Bob', 30, 'Los Angeles'])<\/p>\n
    writer.writerow(['Charlie', 35, 'Chicago'])<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u540c\u6837\uff0ccsv\u5e93\u4e5f\u53ef\u4ee5\u7528\u4e8e\u8bfb\u53d6CSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import csv<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
with open('example.csv', mode='r') as file:<\/p>\n
    reader = csv.reader(file)<\/p>\n
    for row in reader:<\/p>\n
        print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86\u51e0\u79cd\u5c06Python\u6570\u636e\u5bfc\u5165Excel\u7684\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528pandas\u5e93\u3001openpyxl\u5e93\u3001xlsxwriter\u5e93\u3001csv\u5e93<\/strong>\u7b49\u3002\u5176\u4e2dpandas\u5e93\u662f\u6700\u5e38\u7528\u7684\uff0c\u56e0\u4e3a\u5b83\u4e0d\u4ec5\u529f\u80fd\u5f3a\u5927\uff0c\u800c\u4e14\u4f7f\u7528\u7b80\u5355<\/strong>\u3002\u6b64\u5916\uff0copenpyxl\u548cxlsxwriter\u5e93\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u529f\u80fd\u548c\u66f4\u5f3a\u5927\u7684\u683c\u5f0f\u5316\u9009\u9879\uff0c\u53ef\u4ee5\u6ee1\u8db3\u66f4\u590d\u6742\u7684\u9700\u6c42\u3002\u800ccsv\u5e93\u5219\u662f\u4e00\u4e2a\u7b80\u5355\u800c\u6709\u6548\u7684\u9009\u62e9\uff0c\u9002\u7528\u4e8e\u5c06\u6570\u636e\u5bfc\u5165Excel\u7684\u7b80\u5355\u8868\u683c\u4e2d\u3002<\/p>\n<\/p>\n
\u65e0\u8bba\u4f60\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\uff0c\u90fd\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u548c\u6570\u636e\u590d\u6742\u5ea6\u6765\u51b3\u5b9a\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u5c06Python\u6570\u636e\u5bfc\u5165Excel\uff0c\u5e76\u4e3a\u4f60\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u5de5\u4f5c\u63d0\u4f9b\u652f\u6301\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u5c06\u6570\u636e\u5bfc\u51fa\u5230Excel\uff1f<\/strong>
\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u5e93\u6765\u5b9e\u73b0\u6570\u636e\u5bfc\u51fa\uff0c\u6700\u5e38\u7528\u7684\u5305\u62ecPandas\u548cOpenPyXL\u3002\u4f7f\u7528Pandas\u5e93\uff0c\u4f60\u53ea\u9700\u5c06\u6570\u636e\u6846\uff08DataFrame\uff09\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\uff0c\u8bed\u6cd5\u7b80\u5355\u4e14\u529f\u80fd\u5f3a\u5927\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86Pandas\u5e93\u548copenpyxl\u5f15\u64ce\uff0c\u7136\u540e\u4f7f\u7528to_excel()<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\u3002<\/p>\n
\u6211\u9700\u8981\u5b89\u88c5\u54ea\u4e9b\u5e93\u624d\u80fd\u5c06Python\u6570\u636e\u5bfc\u5165Excel\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u5904\u7406Excel\u6587\u4ef6\u7684\u5e38\u7528\u5e93\u5305\u62ecPandas\u3001OpenPyXL\u548cXlsxWriter\u3002\u4f7f\u7528Pandas\u5e93\u65f6\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86openpyxl<\/code>\u6216xlsxwriter<\/code>\u4f5c\u4e3aExcel\u5199\u5165\u5f15\u64ce\u3002\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4pip install pandas openpyxl xlsxwriter<\/code>\u6765\u5b89\u88c5\u8fd9\u4e9b\u5e93\u3002<\/p>\n
\u5bfc\u51faExcel\u65f6\uff0c\u5982\u4f55\u81ea\u5b9a\u4e49Excel\u6587\u4ef6\u7684\u683c\u5f0f\uff1f<\/strong>
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