{"id":1077121,"date":"2025-01-08T11:59:27","date_gmt":"2025-01-08T03:59:27","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1077121.html"},"modified":"2025-01-08T11:59:44","modified_gmt":"2025-01-08T03:59:44","slug":"python%e5%a6%82%e4%bd%95%e6%8a%8a%e6%95%b0%e6%8d%ae%e8%bd%ac%e5%8c%96%e6%88%90excel-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1077121.html","title":{"rendered":"python\u5982\u4f55\u628a\u6570\u636e\u8f6c\u5316\u6210excel"},"content":{"rendered":"

\"python\u5982\u4f55\u628a\u6570\u636e\u8f6c\u5316\u6210excel\"<\/p>\n

Python\u5982\u4f55\u628a\u6570\u636e\u8f6c\u5316\u6210Excel<\/p>\n<\/p>\n

\u4f7f\u7528pandas\u5e93\u3001\u4f7f\u7528openpyxl\u5e93\u3001\u4f7f\u7528xlsxwriter\u5e93<\/strong>\u3002\u5176\u4e2d\uff0c\u4f7f\u7528pandas\u5e93<\/strong>\u662f\u6700\u5e38\u89c1\u548c\u7b80\u5355\u7684\u65b9\u6cd5\u4e4b\u4e00\u3002pandas\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u6570\u636e\u6846\uff08DataFrame\uff09\u8f6c\u6362\u4e3aExcel\u6587\u4ef6\uff0c\u5e76\u4e14\u53ef\u4ee5\u5904\u7406\u5927\u91cf\u7684\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u4f7f\u7528pandas\u5e93\u5c06\u6570\u636e\u8f6c\u6362\u6210Excel\u6587\u4ef6\u7684\u6b65\u9aa4\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b89\u88c5pandas\u5e93<\/h3>\n<\/p>\n

\u5728\u5f00\u59cb\u4e4b\u524d\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
\u53e6\u5916\uff0c\u4e3a\u4e86\u80fd\u591f\u5c06\u6570\u636e\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\uff0c\u8fd8\u9700\u8981\u5b89\u88c5openpyxl<\/code>\u5e93\uff1a<\/p>\n<\/p>\n
pip install openpyxl<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u5bfc\u5165\u6570\u636e<\/h3>\n<\/p>\n
\u5728\u5c06\u6570\u636e\u8f6c\u6362\u4e3aExcel\u6587\u4ef6\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u5c06\u6570\u636e\u5bfc\u5165\u5230Python\u4e2d\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
1. \u4f7f\u7528\u5b57\u5178\u521b\u5efa\u6570\u636e<\/h4>\n<\/p>\n
import pandas as pd<\/p>\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
df = pd.DataFrame(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u4eceCSV\u6587\u4ef6\u5bfc\u5165\u6570\u636e<\/h4>\n<\/p>\n
df = pd.read_csv('data.csv')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u4eceSQL\u6570\u636e\u5e93\u5bfc\u5165\u6570\u636e<\/h4>\n<\/p>\n
import sqlite3<\/p>\n
conn = sqlite3.connect('database.db')<\/p>\n
df = pd.read_sql_query('SELECT * FROM table_name', conn)<\/p>\n
conn.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u5c06\u6570\u636e\u8f6c\u6362\u4e3aExcel\u6587\u4ef6<\/h3>\n<\/p>\n
1. \u4f7f\u7528pandas\u5e93<\/h4>\n<\/p>\n
\u4f7f\u7528pandas\u5e93\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u5c06\u6570\u636e\u8f6c\u6362\u4e3aExcel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
df.to_excel('output.xlsx', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0cto_excel<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u6846df<\/code>\u8f6c\u6362\u4e3aExcel\u6587\u4ef6\uff0c\u5e76\u4fdd\u5b58\u4e3aoutput.xlsx<\/code>\u3002\u53c2\u6570index=False<\/code>\u8868\u793a\u4e0d\u5c06\u884c\u7d22\u5f15\u5bfc\u51fa\u5230Excel\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
2. \u4f7f\u7528openpyxl\u5e93<\/h4>\n<\/p>\n
openpyxl\u5e93\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u5199Excel\u6587\u4ef6\u7684Python\u5e93\uff0c\u7279\u522b\u9002\u7528\u4e8e\u5904\u7406Excel 2010\u53ca\u4ee5\u4e0a\u7248\u672c\u7684\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from openpyxl import Workbook<\/p>\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
wb.save('output.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u4f7f\u7528xlsxwriter\u5e93<\/h4>\n<\/p>\n
xlsxwriter\u5e93\u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efaExcel\u6587\u4ef6\u7684Python\u5e93\uff0c\u7279\u522b\u9002\u7528\u4e8e\u9700\u8981\u521b\u5efa\u590d\u6742\u7684Excel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import xlsxwriter<\/p>\n
\u521b\u5efa\u4e00\u4e2aExcel\u6587\u4ef6<\/strong><\/h2>\n
workbook = xlsxwriter.Workbook('output.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
row = 0<\/p>\n
col = 0<\/p>\n
for item in data:<\/p>\n
    worksheet.write_row(row, col, item)<\/p>\n
    row += 1<\/p>\n
workbook.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u683c\u5f0f\u5316Excel\u6587\u4ef6<\/h3>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u80fd\u9700\u8981\u5bf9Excel\u6587\u4ef6\u8fdb\u884c\u683c\u5f0f\u5316\uff0c\u4f8b\u5982\u8bbe\u7f6e\u5355\u5143\u683c\u6837\u5f0f\u3001\u8c03\u6574\u5217\u5bbd\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
1. \u4f7f\u7528pandas\u5e93<\/h4>\n<\/p>\n
pandas\u5e93\u7684ExcelWriter<\/code>\u7c7b\u5141\u8bb8\u6211\u4eec\u4f7f\u7528openpyxl\u6216xlsxwriter\u5e93\u8fdb\u884c\u683c\u5f0f\u5316\uff1a<\/p>\n<\/p>\n
with pd.ExcelWriter('output.xlsx', engine='xlsxwriter') as writer:<\/p>\n
    df.to_excel(writer, sheet_name='Sheet1', index=False)<\/p>\n
    workbook  = writer.book<\/p>\n
    worksheet = writer.sheets['Sheet1']<\/p>\n
    # \u8bbe\u7f6e\u5217\u5bbd<\/p>\n
    worksheet.set_column('A:A', 20)<\/p>\n
    worksheet.set_column('B:B', 10)<\/p>\n
    worksheet.set_column('C:C', 15)<\/p>\n
    # \u8bbe\u7f6e\u5355\u5143\u683c\u683c\u5f0f<\/p>\n
    format1 = workbook.add_format({'num_format': '#,##0.00'})<\/p>\n
    worksheet.set_column('B:B', None, format1)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u4f7f\u7528openpyxl\u5e93<\/h4>\n<\/p>\n
openpyxl\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u683c\u5f0f\u5316\u9009\u9879\uff1a<\/p>\n<\/p>\n
from openpyxl import Workbook<\/p>\n
from openpyxl.styles import Font, Alignment<\/p>\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
\u8bbe\u7f6e\u5217\u5bbd<\/strong><\/h2>\n
ws.column_dimensions['A'].width = 20<\/p>\n
ws.column_dimensions['B'].width = 10<\/p>\n
ws.column_dimensions['C'].width = 15<\/p>\n
\u8bbe\u7f6e\u5355\u5143\u683c\u6837\u5f0f<\/strong><\/h2>\n
font = Font(bold=True)<\/p>\n
alignment = Alignment(horizontal='center')<\/p>\n
for cell in ws['1:1']:<\/p>\n
    cell.font = font<\/p>\n
    cell.alignment = alignment<\/p>\n
wb.save('output.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u4f7f\u7528xlsxwriter\u5e93<\/h4>\n<\/p>\n
xlsxwriter\u5e93\u4e5f\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u683c\u5f0f\u5316\u9009\u9879\uff1a<\/p>\n<\/p>\n
import xlsxwriter<\/p>\n
workbook = xlsxwriter.Workbook('output.xlsx')<\/p>\n
worksheet = workbook.add_worksheet()<\/p>\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
row = 0<\/p>\n
col = 0<\/p>\n
for item in data:<\/p>\n
    worksheet.write_row(row, col, item)<\/p>\n
    row += 1<\/p>\n
\u8bbe\u7f6e\u5217\u5bbd<\/strong><\/h2>\n
worksheet.set_column('A:A', 20)<\/p>\n
worksheet.set_column('B:B', 10)<\/p>\n
worksheet.set_column('C:C', 15)<\/p>\n
\u8bbe\u7f6e\u5355\u5143\u683c\u683c\u5f0f<\/strong><\/h2>\n
bold = workbook.add_format({'bold': True})<\/p>\n
center = workbook.add_format({'align': 'center'})<\/p>\n
worksheet.set_row(0, None, bold)<\/p>\n
worksheet.set_column('A:A', None, center)<\/p>\n
workbook.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u8bfb\u53d6\u548c\u5904\u7406Excel\u6587\u4ef6<\/h3>\n<\/p>\n
\u9664\u4e86\u5c06\u6570\u636e\u8f6c\u6362\u4e3aExcel\u6587\u4ef6\uff0cPython\u8fd8\u53ef\u4ee5\u7528\u4e8e\u8bfb\u53d6\u548c\u5904\u7406Excel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
1. \u4f7f\u7528pandas\u5e93<\/h4>\n<\/p>\n
pandas\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u53d6Excel\u6587\u4ef6\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u6570\u636e\u6846\uff1a<\/p>\n<\/p>\n
df = pd.read_excel('output.xlsx')<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u4f7f\u7528openpyxl\u5e93<\/h4>\n<\/p>\n
openpyxl\u5e93\u53ef\u4ee5\u7528\u4e8e\u8bfb\u53d6\u548c\u5904\u7406Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\uff1a<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
wb = load_workbook('output.xlsx')<\/p>\n
ws = wb.active<\/p>\n
for row in ws.iter_rows(values_only=True):<\/p>\n
    print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u4f7f\u7528xlrd\u5e93<\/h4>\n<\/p>\n
xlrd\u5e93\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\u7684Python\u5e93\uff0c\u7279\u522b\u9002\u7528\u4e8e\u5904\u7406Excel 2003\u53ca\u4ee5\u4e0b\u7248\u672c\u7684\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import xlrd<\/p>\n
workbook = xlrd.open_workbook('output.xlsx')<\/p>\n
sheet = workbook.sheet_by_index(0)<\/p>\n
for row in range(sheet.nrows):<\/p>\n
    print(sheet.row_values(row))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u901a\u8fc7\u672c\u6587\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528Python\u5c06\u6570\u636e\u8f6c\u6362\u4e3aExcel\u6587\u4ef6\uff0c\u5e76\u8be6\u7ec6\u63cf\u8ff0\u4e86\u4f7f\u7528pandas\u3001openpyxl\u548cxlsxwriter\u5e93\u7684\u65b9\u6cd5\u3002\u6211\u4eec\u8fd8\u8ba8\u8bba\u4e86\u5982\u4f55\u5bf9Excel\u6587\u4ef6\u8fdb\u884c\u683c\u5f0f\u5316\uff0c\u4ee5\u53ca\u5982\u4f55\u8bfb\u53d6\u548c\u5904\u7406Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\uff0c\u80fd\u591f\u8ba9\u4f60\u5728\u5904\u7406Excel\u6587\u4ef6\u65f6\u66f4\u52a0\u5f97\u5fc3\u5e94\u624b\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u5c06\u6570\u636e\u8f6c\u6362\u4e3aExcel\u683c\u5f0f\uff1f<\/strong>
\u4f7f\u7528Python\u5c06\u6570\u636e\u8f6c\u6362\u4e3aExcel\u683c\u5f0f\u901a\u5e38\u53ef\u4ee5\u901a\u8fc7pandas\u5e93\u6765\u5b9e\u73b0\u3002\u60a8\u9700\u8981\u9996\u5148\u5b89\u88c5pandas\u548copenpyxl\uff08\u7528\u4e8e\u5199\u5165Excel\u6587\u4ef6\uff09\u5e93\u3002\u6570\u636e\u53ef\u4ee5\u662f\u4eceCSV\u6587\u4ef6\u3001\u6570\u636e\u5e93\u6216\u5176\u4ed6\u683c\u5f0f\u8bfb\u53d6\u3002\u4f7f\u7528pandas\u7684DataFrame<\/code>\u5bf9\u8c61\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aExcel\u6587\u4ef6\uff0c\u4f7f\u7528to_excel<\/code>\u65b9\u6cd5\u5373\u53ef\u3002<\/p>\n
\u5728Python\u4e2d\uff0c\u6709\u54ea\u4e9b\u5e93\u53ef\u4ee5\u7528\u4e8e\u5904\u7406Excel\u6587\u4ef6\uff1f<\/strong>
\u9664\u4e86pandas\u5916\uff0c\u8fd8\u6709\u4e00\u4e9b\u5176\u4ed6\u5e93\u53ef\u4ee5\u5904\u7406Excel\u6587\u4ef6\u3002\u4f8b\u5982\uff0copenpyxl\u662f\u4e00\u4e2a\u4e13\u6ce8\u4e8e\u8bfb\u53d6\u548c\u5199\u5165Excel 2010 xlsx\/xlsm\/xltx\/xltm\u6587\u4ef6\u7684\u5e93\uff1bxlrd\u548cxlwt\u5219\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165\u65e9\u671f\u7248\u672c\u7684Excel\u6587\u4ef6\uff08xls\uff09\u3002\u6bcf\u4e2a\u5e93\u90fd\u6709\u5176\u72ec\u7279\u7684\u529f\u80fd\uff0c\u9009\u62e9\u5408\u9002\u7684\u5e93\u53ef\u4ee5\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002<\/p>\n
\u5982\u679c\u6211\u60f3\u5c06\u591a\u4e2a\u6570\u636e\u8868\u5199\u5165\u540c\u4e00\u4e2aExcel\u6587\u4ef6\uff0c\u8be5\u600e\u4e48\u529e\uff1f<\/strong>
\u60a8\u53ef\u4ee5\u4f7f\u7528pandas\u7684ExcelWriter<\/code>\u5bf9\u8c61\u6765\u5728\u540c\u4e00\u4e2aExcel\u6587\u4ef6\u4e2d\u5199\u5165\u591a\u4e2a\u6570\u636e\u8868\u3002\u901a\u8fc7\u521b\u5efa\u4e00\u4e2aExcelWriter\u5b9e\u4f8b\u5e76\u6307\u5b9a\u76ee\u6807\u6587\u4ef6\u540d\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528to_excel<\/code>\u65b9\u6cd5\u5c06\u4e0d\u540c\u7684\u6570\u636e\u8868\u5199\u5165\u4e0d\u540c\u7684\u5de5\u4f5c\u8868\u3002\u786e\u4fdd\u5728\u5199\u5165\u5b8c\u6210\u540e\u8c03\u7528save<\/code>\u65b9\u6cd5\u6765\u4fdd\u5b58\u6587\u4ef6\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5982\u4f55\u628a\u6570\u636e\u8f6c\u5316\u6210Excel \u4f7f\u7528pandas\u5e93\u3001\u4f7f\u7528openpyxl\u5e93\u3001\u4f7f\u7528xlsxwriter\u5e93 […]","protected":false},"author":3,"featured_media":1077154,"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\/1077121"}],"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=1077121"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1077121\/revisions"}],"predecessor-version":[{"id":1077157,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1077121\/revisions\/1077157"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1077154"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1077121"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1077121"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1077121"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}