{"id":1035261,"date":"2024-12-31T11:57:21","date_gmt":"2024-12-31T03:57:21","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1035261.html"},"modified":"2024-12-31T11:57:23","modified_gmt":"2024-12-31T03:57:23","slug":"python%e5%a6%82%e4%bd%95%e5%b0%86%e7%bb%93%e6%9e%9c%e5%af%bc%e6%88%90excel","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1035261.html","title":{"rendered":"python\u5982\u4f55\u5c06\u7ed3\u679c\u5bfc\u6210Excel"},"content":{"rendered":"

\"python\u5982\u4f55\u5c06\u7ed3\u679c\u5bfc\u6210Excel\"<\/p>\n

Python\u5c06\u7ed3\u679c\u5bfc\u6210Excel\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u3001Openpyxl\u5e93\u3001XlsxWriter\u5e93\u3002<\/strong>\u6211\u4eec\u5c06\u8be6\u7ec6\u89e3\u91ca\u5982\u4f55\u4f7f\u7528Pandas\u5e93\u6765\u5c06\u6570\u636e\u5bfc\u51fa\u6210Excel\u6587\u4ef6\uff0c\u56e0\u4e3aPandas\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u529f\u80fd\uff0c\u975e\u5e38\u9002\u5408\u7528\u4e8e\u6570\u636e\u5bfc\u51fa\u3002Pandas\u662f\u4e00\u4e2a\u6570\u636e\u5206\u6790\u5305\uff0c\u80fd\u591f\u65b9\u4fbf\u5730\u5904\u7406\u6570\u636e\uff0c\u5e76\u652f\u6301\u5c06\u6570\u636e\u5bfc\u51fa\u6210\u591a\u79cd\u683c\u5f0f\uff0c\u5305\u62ecExcel\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Pandas\u5c06\u6570\u636e\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\u3002<\/p>\n<\/p>\n

\u4e00\u3001Pandas\u5e93\u7b80\u4ecb<\/h3>\n<\/p>\n

Pandas\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u6570\u636e\u5206\u6790\u548c\u64cd\u4f5c\u5e93\uff0c\u4e3b\u8981\u7528\u4e8e\u5904\u7406\u8868\u683c\u6570\u636e\u3002\u5b83\u63d0\u4f9b\u4e86\u4e24\u79cd\u6838\u5fc3\u6570\u636e\u7ed3\u6784\uff1aSeries\u548cDataFrame\u3002Series\u662f\u4e00\u7ef4\u6570\u636e\u7ed3\u6784\uff0c\u7c7b\u4f3c\u4e8ePython\u7684\u5217\u8868\uff0c\u800cDataFrame\u662f\u4e8c\u7ef4\u6570\u636e\u7ed3\u6784\uff0c\u7c7b\u4f3c\u4e8e\u7535\u5b50\u8868\u683c\u6216SQL\u8868\u3002Pandas\u7684\u529f\u80fd\u975e\u5e38\u5f3a\u5927\uff0c\u652f\u6301\u6570\u636e\u6e05\u6d17\u3001\u6570\u636e\u5904\u7406\u3001\u6570\u636e\u5206\u6790\u7b49\u64cd\u4f5c\uff0c\u5e76\u4e14\u53ef\u4ee5\u8f7b\u677e\u5730\u4e0e\u5176\u4ed6\u6570\u636e\u79d1\u5b66\u5de5\u5177\u96c6\u6210\u3002<\/p>\n<\/p>\n

\u4e8c\u3001\u5b89\u88c5Pandas\u5e93<\/h3>\n<\/p>\n

\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u786e\u4fdd\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
\u4e09\u3001\u5bfc\u51fa\u6570\u636e\u5230Excel\u6587\u4ef6<\/h3>\n<\/p>\n
\u4f7f\u7528Pandas\u5c06\u6570\u636e\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u8981\u51e0\u4e2a\u6b65\u9aa4\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u9010\u6b65\u4ecb\u7ecd\u8fd9\u4e9b\u6b65\u9aa4\u3002<\/p>\n<\/p>\n
1\u3001\u521b\u5efaDataFrame<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u521b\u5efa\u4e00\u4e2aDataFrame\u3002DataFrame\u662fPandas\u7684\u6838\u5fc3\u6570\u636e\u7ed3\u6784\uff0c\u5b83\u7c7b\u4f3c\u4e8e\u4e00\u4e2a\u8868\u683c\uff0c\u53ef\u4ee5\u5b58\u50a8\u548c\u64cd\u4f5c\u6570\u636e\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u4e00\u4e9b\u793a\u4f8b\u6570\u636e\u7684DataFrame\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u5b57\u5178\uff0c\u5305\u542b\u4e00\u4e9b\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
data = {<\/p>\n
    'Name': ['Alice', 'Bob', 'Charlie', 'David'],<\/p>\n
    'Age': [25, 30, 35, 40],<\/p>\n
    'City': ['New York', 'Los Angeles', 'Chicago', 'Houston']<\/p>\n
}<\/p>\n
\u4f7f\u7528\u5b57\u5178\u521b\u5efaDataFrame<\/strong><\/h2>\n
df = pd.DataFrame(data)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd0\u884c\u4e0a\u9762\u7684\u4ee3\u7801\u5c06\u8f93\u51fa\u4ee5\u4e0b\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
      Name  Age         City<\/p>\n
0    Alice   25     New York<\/p>\n
1      Bob   30  Los Angeles<\/p>\n
2  Charlie   35      Chicago<\/p>\n
3    David   40      Houston<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5bfc\u51faDataFrame\u5230Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u4f7f\u7528to_excel<\/code>\u65b9\u6cd5\u5c06DataFrame\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\u3002to_excel<\/code>\u65b9\u6cd5\u975e\u5e38\u7075\u6d3b\uff0c\u652f\u6301\u591a\u79cd\u53c2\u6570\uff0c\u53ef\u4ee5\u81ea\u5b9a\u4e49\u5bfc\u51fa\u7684\u6587\u4ef6\u540d\u3001\u5de5\u4f5c\u8868\u540d\u3001\u5217\u540d\u7b49\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u5c06\u4e0a\u9762\u521b\u5efa\u7684DataFrame\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
# \u5c06DataFrame\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6<\/p>\n
df.to_excel('output.xlsx', index=False)<\/p>\n
print('DataFrame has been exported to Excel file.')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e0a\u9762\u7684\u4ee3\u7801\u5c06DataFrame\u5bfc\u51fa\u4e3a\u540d\u4e3aoutput.xlsx<\/code>\u7684Excel\u6587\u4ef6\uff0c\u5e76\u4e14\u4e0d\u5305\u542b\u7d22\u5f15\u5217\u3002\u8fd0\u884c\u4ee3\u7801\u540e\uff0c\u53ef\u4ee5\u5728\u5f53\u524d\u76ee\u5f55\u4e0b\u627e\u5230\u751f\u6210\u7684Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
3\u3001\u8bbe\u7f6e\u5de5\u4f5c\u8868\u540d\u548c\u5217\u540d<\/h4>\n<\/p>\n
\u5728\u5bfc\u51fa\u6570\u636e\u65f6\uff0c\u6211\u4eec\u53ef\u4ee5\u81ea\u5b9a\u4e49\u5de5\u4f5c\u8868\u540d\u548c\u5217\u540d\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u8bbe\u7f6e\u5de5\u4f5c\u8868\u540d\u4e3aSheet1<\/code>\uff0c\u5e76\u4e14\u53ea\u5bfc\u51faName<\/code>\u548cCity<\/code>\u5217\uff1a<\/p>\n<\/p>\n
# \u5c06DataFrame\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\uff0c\u8bbe\u7f6e\u5de5\u4f5c\u8868\u540d\u548c\u5217\u540d<\/p>\n
df.to_excel('output_custom.xlsx', sheet_name='Sheet1', columns=['Name', 'City'], index=False)<\/p>\n
print('DataFrame has been exported to Excel file with custom settings.')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd0\u884c\u4e0a\u9762\u7684\u4ee3\u7801\u540e\uff0c\u53ef\u4ee5\u5728\u5f53\u524d\u76ee\u5f55\u4e0b\u627e\u5230\u540d\u4e3aoutput_custom.xlsx<\/code>\u7684Excel\u6587\u4ef6\uff0c\u6253\u5f00\u6587\u4ef6\u53ef\u4ee5\u770b\u5230\u53ea\u5305\u542bName<\/code>\u548cCity<\/code>\u5217\uff0c\u5e76\u4e14\u5de5\u4f5c\u8868\u540d\u4e3aSheet1<\/code>\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4f7f\u7528Openpyxl\u5e93\u8fdb\u884c\u66f4\u591a\u81ea\u5b9a\u4e49\u64cd\u4f5c<\/h3>\n<\/p>\n
\u867d\u7136Pandas\u5e93\u63d0\u4f9b\u4e86\u65b9\u4fbf\u7684\u5bfc\u51fa\u529f\u80fd\uff0c\u4f46\u662f\u5bf9\u4e8e\u4e00\u4e9b\u9ad8\u7ea7\u7684\u81ea\u5b9a\u4e49\u64cd\u4f5c\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Openpyxl\u5e93\u3002Openpyxl\u662f\u4e00\u4e2a\u4e13\u95e8\u7528\u4e8e\u8bfb\u5199Excel\u6587\u4ef6\u7684\u5e93\uff0c\u652f\u6301\u5bf9Excel\u6587\u4ef6\u8fdb\u884c\u5404\u79cd\u590d\u6742\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5Openpyxl\u5e93<\/h4>\n<\/p>\n
\u5982\u679c\u8fd8\u6ca1\u6709\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\u4f7f\u7528Openpyxl\u5e93\u8fdb\u884c\u81ea\u5b9a\u4e49\u64cd\u4f5c<\/h4>\n<\/p>\n
\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u4f7f\u7528Openpyxl\u5e93\u5c06DataFrame\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\uff0c\u5e76\u5bf9Excel\u6587\u4ef6\u8fdb\u884c\u4e00\u4e9b\u81ea\u5b9a\u4e49\u64cd\u4f5c\uff0c\u4f8b\u5982\u8bbe\u7f6e\u5355\u5143\u683c\u6837\u5f0f\u3001\u6dfb\u52a0\u56fe\u7247\u7b49\uff1a<\/p>\n<\/p>\n
from openpyxl import Workbook<\/p>\n
from openpyxl.drawing.image import Image<\/p>\n
from openpyxl.styles import Font, Alignment<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
wb = Workbook()<\/p>\n
ws = wb.active<\/p>\n
\u8bbe\u7f6e\u5de5\u4f5c\u8868\u540d\u79f0<\/strong><\/h2>\n
ws.title = 'CustomSheet'<\/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
    ['David', 40, 'Houston']<\/p>\n
]<\/p>\n
for row in data:<\/p>\n
    ws.append(row)<\/p>\n
\u8bbe\u7f6e\u5355\u5143\u683c\u6837\u5f0f<\/strong><\/h2>\n
for cell in ws['1:1']:<\/p>\n
    cell.font = Font(bold=True, color='FF0000')<\/p>\n
    cell.alignment = Alignment(horizontal='center', vertical='center')<\/p>\n
\u6dfb\u52a0\u56fe\u7247<\/strong><\/h2>\n
img = Image('path\/to\/your\/image.png')<\/p>\n
ws.add_image(img, 'E1')<\/p>\n
\u4fdd\u5b58Excel\u6587\u4ef6<\/strong><\/h2>\n
wb.save('output_openpyxl.xlsx')<\/p>\n
print('Excel file has been created with custom settings.')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd0\u884c\u4e0a\u9762\u7684\u4ee3\u7801\u540e\uff0c\u53ef\u4ee5\u5728\u5f53\u524d\u76ee\u5f55\u4e0b\u627e\u5230\u540d\u4e3aoutput_openpyxl.xlsx<\/code>\u7684Excel\u6587\u4ef6\uff0c\u6253\u5f00\u6587\u4ef6\u53ef\u4ee5\u770b\u5230\u6570\u636e\u5df2\u7ecf\u5199\u5165\uff0c\u5e76\u4e14\u7b2c\u4e00\u884c\u7684\u5355\u5143\u683c\u6837\u5f0f\u5df2\u7ecf\u8bbe\u7f6e\u4e3a\u52a0\u7c97\u548c\u7ea2\u8272\u3002\u8fd8\u53ef\u4ee5\u770b\u5230\u5728\u6307\u5b9a\u4f4d\u7f6e\u6dfb\u52a0\u4e86\u56fe\u7247\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528XlsxWriter\u5e93\u8fdb\u884c\u9ad8\u7ea7\u683c\u5f0f\u8bbe\u7f6e<\/h3>\n<\/p>\n
\u9664\u4e86Pandas\u548cOpenpyxl\u5e93\uff0cXlsxWriter\u5e93\u4e5f\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u5de5\u5177\uff0c\u53ef\u4ee5\u7528\u4e8e\u521b\u5efa\u548c\u5199\u5165Excel\u6587\u4ef6\uff0c\u652f\u6301\u4e30\u5bcc\u7684\u683c\u5f0f\u8bbe\u7f6e\u548c\u56fe\u8868\u751f\u6210\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5XlsxWriter\u5e93<\/h4>\n<\/p>\n
\u5982\u679c\u8fd8\u6ca1\u6709\u5b89\u88c5XlsxWriter\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install XlsxWriter<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528XlsxWriter\u5e93\u8fdb\u884c\u9ad8\u7ea7\u683c\u5f0f\u8bbe\u7f6e<\/h4>\n<\/p>\n
\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u4f7f\u7528XlsxWriter\u5e93\u5c06DataFrame\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\uff0c\u5e76\u8fdb\u884c\u4e00\u4e9b\u9ad8\u7ea7\u683c\u5f0f\u8bbe\u7f6e\uff0c\u4f8b\u5982\u8bbe\u7f6e\u5355\u5143\u683c\u683c\u5f0f\u3001\u6dfb\u52a0\u56fe\u8868\u7b49\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
import xlsxwriter<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u5b57\u5178\uff0c\u5305\u542b\u4e00\u4e9b\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
data = {<\/p>\n
    'Name': ['Alice', 'Bob', 'Charlie', 'David'],<\/p>\n
    'Age': [25, 30, 35, 40],<\/p>\n
    'City': ['New York', 'Los Angeles', 'Chicago', 'Houston']<\/p>\n
}<\/p>\n
\u4f7f\u7528\u5b57\u5178\u521b\u5efaDataFrame<\/strong><\/h2>\n
df = pd.DataFrame(data)<\/p>\n
\u521b\u5efa\u4e00\u4e2aExcelWriter\u5bf9\u8c61\uff0c\u4f7f\u7528XlsxWriter\u4f5c\u4e3a\u5f15\u64ce<\/strong><\/h2>\n
writer = pd.ExcelWriter('output_xlsxwriter.xlsx', engine='xlsxwriter')<\/p>\n
\u5c06DataFrame\u5199\u5165Excel\u6587\u4ef6<\/strong><\/h2>\n
df.to_excel(writer, sheet_name='Sheet1', index=False)<\/p>\n
\u83b7\u53d6\u5de5\u4f5c\u7c3f\u548c\u5de5\u4f5c\u8868\u5bf9\u8c61<\/strong><\/h2>\n
workbook = writer.book<\/p>\n
worksheet = writer.sheets['Sheet1']<\/p>\n
\u8bbe\u7f6e\u5217\u5bbd\u548c\u683c\u5f0f<\/strong><\/h2>\n
worksheet.set_column('A:A', 20)<\/p>\n
worksheet.set_column('B:B', 10)<\/p>\n
worksheet.set_column('C:C', 20)<\/p>\n
\u6dfb\u52a0\u683c\u5f0f<\/strong><\/h2>\n
cell_format = workbook.add_format({'bold': True, 'font_color': 'red', 'bg_color': 'yellow'})<\/p>\n
worksheet.set_row(0, None, cell_format)<\/p>\n
\u6dfb\u52a0\u56fe\u8868<\/strong><\/h2>\n
chart = workbook.add_chart({'type': 'column'})<\/p>\n
chart.add_series({<\/p>\n
    'categories': ['Sheet1', 1, 0, 4, 0],<\/p>\n
    'values': ['Sheet1', 1, 1, 4, 1],<\/p>\n
    'name': 'Age'<\/p>\n
})<\/p>\n
worksheet.insert_chart('E5', chart)<\/p>\n
\u4fdd\u5b58Excel\u6587\u4ef6<\/strong><\/h2>\n
writer.save()<\/p>\n
print('Excel file has been created with advanced formatting and charts.')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd0\u884c\u4e0a\u9762\u7684\u4ee3\u7801\u540e\uff0c\u53ef\u4ee5\u5728\u5f53\u524d\u76ee\u5f55\u4e0b\u627e\u5230\u540d\u4e3aoutput_xlsxwriter.xlsx<\/code>\u7684Excel\u6587\u4ef6\uff0c\u6253\u5f00\u6587\u4ef6\u53ef\u4ee5\u770b\u5230\u6570\u636e\u5df2\u7ecf\u5199\u5165\uff0c\u5e76\u4e14\u8fdb\u884c\u4e86\u9ad8\u7ea7\u683c\u5f0f\u8bbe\u7f6e\uff0c\u4f8b\u5982\u8bbe\u7f6e\u4e86\u5217\u5bbd\u548c\u5355\u5143\u683c\u683c\u5f0f\uff0c\u8fd8\u6dfb\u52a0\u4e86\u4e00\u4e2a\u67f1\u72b6\u56fe\u3002<\/p>\n<\/p>\n
\u516d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u672c\u6587\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528Python\u5c06\u7ed3\u679c\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\uff0c\u4e3b\u8981\u4f7f\u7528\u4e86Pandas\u5e93\uff0c\u5e76\u4e14\u4ecb\u7ecd\u4e86Openpyxl\u548cXlsxWriter\u5e93\u8fdb\u884c\u66f4\u591a\u81ea\u5b9a\u4e49\u64cd\u4f5c\u3002Pandas\u5e93\u63d0\u4f9b\u4e86\u7b80\u5355\u4fbf\u6377\u7684\u5bfc\u51fa\u529f\u80fd\uff0c\u975e\u5e38\u9002\u5408\u65e5\u5e38\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002\u800cOpenpyxl\u548cXlsxWriter\u5e93\u5219\u63d0\u4f9b\u4e86\u66f4\u591a\u9ad8\u7ea7\u529f\u80fd\uff0c\u53ef\u4ee5\u8fdb\u884c\u590d\u6742\u7684\u683c\u5f0f\u8bbe\u7f6e\u548c\u56fe\u8868\u751f\u6210\u3002\u5e0c\u671b\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u80fd\u591f\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u638c\u63e1\u5982\u4f55\u4f7f\u7528Python\u5c06\u7ed3\u679c\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u5c06\u6570\u636e\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5e93\u5c06\u6570\u636e\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\uff0c\u6700\u5e38\u7528\u7684\u5e93\u662fpandas<\/code>\u548copenpyxl<\/code>\u3002\u901a\u8fc7pandas<\/code>\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06DataFrame\u5bf9\u8c61\u4fdd\u5b58\u4e3aExcel\u6587\u4ef6\uff0c\u4f7f\u7528to_excel()<\/code>\u65b9\u6cd5\u3002\u786e\u4fdd\u5b89\u88c5\u4e86\u6240\u9700\u7684\u5e93\uff0c\u4f8b\u5982\u901a\u8fc7pip install pandas openpyxl<\/code>\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n
import pandas as pd\n\ndata = {'\u59d3\u540d': ['\u5f20\u4e09', '\u674e\u56db'], '\u5e74\u9f84': [28, 32]}\ndf = pd.DataFrame(data)\ndf.to_excel('\u7ed3\u679c.xlsx', index=False)\n<\/code><\/pre>\n
\u4f7f\u7528Python\u5bfc\u51faExcel\u6587\u4ef6\u65f6\u9700\u8981\u6ce8\u610f\u54ea\u4e9b\u4e8b\u9879\uff1f<\/strong>
\u5728\u5bfc\u51faExcel\u6587\u4ef6\u65f6\uff0c\u786e\u4fdd\u6570\u636e\u7684\u683c\u5f0f\u548c\u7c7b\u578b\u9002\u5408Excel\u7684\u8981\u6c42\uff0c\u4f8b\u5982\u65e5\u671f\u548c\u6570\u5b57\u683c\u5f0f\u3002\u6b64\u5916\uff0c\u6587\u4ef6\u540d\u4e0d\u8981\u4f7f\u7528\u7279\u6b8a\u5b57\u7b26\uff0c\u4ee5\u907f\u514d\u4fdd\u5b58\u5931\u8d25\u3002\u4f7f\u7528index=False<\/code>\u53c2\u6570\u53ef\u4ee5\u907f\u514d\u5c06\u7d22\u5f15\u5217\u5bfc\u51fa\u3002\u5982\u679c\u9700\u8981\u5904\u7406\u5927\u6570\u636e\u96c6\uff0c\u8003\u8651\u4f7f\u7528xlsxwriter<\/code>\u5e93\u4ee5\u63d0\u9ad8\u6027\u80fd\u3002<\/p>\n
Python\u80fd\u5426\u5c06\u591a\u4e2aDataFrame\u5bfc\u51fa\u5230\u540c\u4e00\u4e2aExcel\u6587\u4ef6\u4e2d\uff1f<\/strong>
\u662f\u7684\uff0cPython\u53ef\u4ee5\u5c06\u591a\u4e2aDataFrame\u5bfc\u51fa\u5230\u540c\u4e00\u4e2aExcel\u6587\u4ef6\u4e2d\u3002\u4f7f\u7528pandas<\/code>\u5e93\u7684ExcelWriter<\/code>\u529f\u80fd\uff0c\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2aExcel\u6587\u4ef6\uff0c\u5e76\u901a\u8fc7\u4e0d\u540c\u7684\u5de5\u4f5c\u8868\u4fdd\u5b58\u591a\u4e2aDataFrame\u3002\u4f8b\u5982\uff1a<\/p>\n
with pd.ExcelWriter('\u591a\u4e2a\u7ed3\u679c.xlsx') as writer:\n    df1.to_excel(writer, sheet_name='\u5de5\u4f5c\u88681', index=False)\n    df2.to_excel(writer, sheet_name='\u5de5\u4f5c\u88682', index=False)\n<\/code><\/pre>\n
\u8fd9\u79cd\u65b9\u6cd5\u5141\u8bb8\u4f60\u5728\u4e00\u4e2a\u6587\u4ef6\u4e2d\u7ec4\u7ec7\u548c\u5b58\u50a8\u4e0d\u540c\u7684\u6570\u636e\u96c6\uff0c\u65b9\u4fbf\u540e\u7eed\u7684\u5206\u6790\u4e0e\u4f7f\u7528\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5c06\u7ed3\u679c\u5bfc\u6210Excel\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u3001Openpyxl\u5e93\u3001XlsxWriter\u5e93\u3002\u6211\u4eec […]","protected":false},"author":3,"featured_media":1035269,"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\/1035261"}],"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=1035261"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1035261\/revisions"}],"predecessor-version":[{"id":1035273,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1035261\/revisions\/1035273"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1035269"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1035261"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1035261"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1035261"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}