{"id":1080514,"date":"2025-01-08T12:30:52","date_gmt":"2025-01-08T04:30:52","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1080514.html"},"modified":"2025-01-08T12:30:53","modified_gmt":"2025-01-08T04:30:53","slug":"%e5%a6%82%e4%bd%95%e6%93%8d%e4%bd%9c%e8%a1%a8%e6%a0%bc%e7%9a%84%e5%8d%95%e5%85%83%e6%a0%bcpython-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1080514.html","title":{"rendered":"\u5982\u4f55\u64cd\u4f5c\u8868\u683c\u7684\u5355\u5143\u683cPython"},"content":{"rendered":"

\"\u5982\u4f55\u64cd\u4f5c\u8868\u683c\u7684\u5355\u5143\u683cPython\"<\/p>\n

\u5982\u4f55\u64cd\u4f5c\u8868\u683c\u7684\u5355\u5143\u683cPython<\/strong><\/p>\n<\/p>\n

\u4f7f\u7528Python\u8fdb\u884c\u8868\u683c\u64cd\u4f5c\u4e3b\u8981\u6d89\u53ca\u5230\u5bf9\u7535\u5b50\u8868\u683c\u6587\u4ef6\uff08\u5982Excel\u6587\u4ef6\uff09\u7684\u8bfb\u53d6\u3001\u5199\u5165\u548c\u4fee\u6539\u3002\u5e38\u7528\u7684Python\u5e93\u6709pandas\u3001openpyxl\u3001xlrd\u3001xlwt<\/strong>\u7b49\u3002pandas\u5e93\u529f\u80fd\u5f3a\u5927\uff0c\u9002\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u5904\u7406\uff1bopenpyxl\u5e93\u5219\u975e\u5e38\u9002\u5408\u5bf9Excel\u6587\u4ef6\u7684\u8bfb\u5199\u64cd\u4f5c<\/strong>\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u4f7f\u7528\u8fd9\u4e9b\u5e93\u64cd\u4f5c\u8868\u683c\u5355\u5143\u683c\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4e00\u3001Pandas\u5e93\u64cd\u4f5c\u8868\u683c<\/h3>\n<\/p>\n

1\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n

\u4f7f\u7528pandas\u8bfb\u53d6Excel\u6587\u4ef6\u975e\u5e38\u7b80\u5355\uff0c\u4f7f\u7528pandas.read_excel<\/code>\u51fd\u6570\u5373\u53ef\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n

import pandas as pd<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_excel('example.xlsx')<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5199\u5165Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528pandas.to_excel<\/code>\u51fd\u6570\u53ef\u4ee5\u5c06\u6570\u636e\u5199\u5165Excel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u5199\u5165Excel\u6587\u4ef6<\/p>\n
df.to_excel('output.xlsx', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u4fee\u6539\u5355\u5143\u683c\u503c<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528DataFrame\u7684\u7d22\u5f15\u6765\u4fee\u6539\u5355\u5143\u683c\u7684\u503c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u4fee\u6539\u5355\u5143\u683c\u503c<\/p>\n
df.at[0, 'Column1'] = 'New Value'<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001Openpyxl\u5e93\u64cd\u4f5c\u8868\u683c<\/h3>\n<\/p>\n
1\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528openpyxl.load_workbook<\/code>\u51fd\u6570\u53ef\u4ee5\u8bfb\u53d6Excel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
wb = load_workbook('example.xlsx')<\/p>\n
ws = wb.active<\/p>\n
print(ws['A1'].value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5199\u5165Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528\u5355\u5143\u683c\u8d4b\u503c\u7684\u65b9\u5f0f\u6765\u5199\u5165Excel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u5199\u5165\u5355\u5143\u683c\u503c<\/p>\n
ws['A1'] = 'New Value'<\/p>\n
wb.save('output.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u4fee\u6539\u5355\u5143\u683c\u683c\u5f0f<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528openpyxl<\/code>\u4e2d\u7684styles<\/code>\u6a21\u5757\u6765\u4fee\u6539\u5355\u5143\u683c\u7684\u683c\u5f0f\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from openpyxl.styles import Font<\/p>\n
\u4fee\u6539\u5355\u5143\u683c\u683c\u5f0f<\/strong><\/h2>\n
ws['A1'].font = Font(bold=True, color='FF0000')<\/p>\n
wb.save('output.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001Xlrd\u5e93\u64cd\u4f5c\u8868\u683c\uff08\u4ec5\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\uff09<\/h3>\n<\/p>\n
1\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528xlrd<\/code>\u5e93\u53ef\u4ee5\u8bfb\u53d6Excel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import xlrd<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
wb = xlrd.open_workbook('example.xlsx')<\/p>\n
ws = wb.sheet_by_index(0)<\/p>\n
print(ws.cell_value(0, 0))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001Xlwt\u5e93\u64cd\u4f5c\u8868\u683c\uff08\u4ec5\u7528\u4e8e\u5199\u5165Excel\u6587\u4ef6\uff09<\/h3>\n<\/p>\n
1\u3001\u5199\u5165Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528xlwt<\/code>\u5e93\u53ef\u4ee5\u5199\u5165Excel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import xlwt<\/p>\n
\u521b\u5efa\u65b0\u7684Excel\u6587\u4ef6<\/strong><\/h2>\n
wb = xlwt.Workbook()<\/p>\n
ws = wb.add_sheet('Sheet1')<\/p>\n
\u5199\u5165\u5355\u5143\u683c\u503c<\/strong><\/h2>\n
ws.write(0, 0, 'New Value')<\/p>\n
wb.save('output.xls')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u7efc\u5408\u5e94\u7528<\/h3>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u7efc\u5408\u4f7f\u7528\u591a\u4e2a\u5e93\u7684\u529f\u80fd\u6765\u5b8c\u6210\u590d\u6742\u7684\u8868\u683c\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u8bfb\u53d6\u6570\u636e\u5e76\u8fdb\u884c\u6570\u636e\u5206\u6790\uff0c\u7136\u540e\u4f7f\u7528openpyxl<\/code>\u4fee\u6539\u5355\u5143\u683c\u683c\u5f0f\u5e76\u4fdd\u5b58\u7ed3\u679c\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
from openpyxl import load_workbook<\/p>\n
from openpyxl.styles import Font<\/p>\n
\u4f7f\u7528pandas\u8bfb\u53d6\u6570\u636e<\/strong><\/h2>\n
df = pd.read_excel('example.xlsx')<\/p>\n
\u8fdb\u884c\u6570\u636e\u5206\u6790<\/strong><\/h2>\n
df['New Column'] = df['Column1'] * 2<\/p>\n
\u4fdd\u5b58\u5206\u6790\u7ed3\u679c<\/strong><\/h2>\n
df.to_excel('output.xlsx', index=False)<\/p>\n
\u4f7f\u7528openpyxl\u4fee\u6539\u5355\u5143\u683c\u683c\u5f0f<\/strong><\/h2>\n
wb = load_workbook('output.xlsx')<\/p>\n
ws = wb.active<\/p>\n
ws['A1'].font = Font(bold=True, color='FF0000')<\/p>\n
wb.save('output.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u5904\u7406\u5927\u6570\u636e\u91cf\u7684\u8868\u683c<\/h3>\n<\/p>\n
\u5bf9\u4e8e\u5927\u6570\u636e\u91cf\u7684\u8868\u683c\uff0c\u4f7f\u7528pandas\u8fdb\u884c\u64cd\u4f5c\u53ef\u80fd\u4f1a\u5360\u7528\u5927\u91cf\u5185\u5b58\u3002\u6b64\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528openpyxl<\/code>\u8fdb\u884c\u9010\u884c\u8bfb\u53d6\u548c\u5199\u5165\uff0c\u907f\u514d\u4e00\u6b21\u6027\u52a0\u8f7d\u6574\u4e2a\u6587\u4ef6\u3002<\/p>\n<\/p>\n
1\u3001\u9010\u884c\u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528openpyxl<\/code>\u9010\u884c\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u907f\u514d\u5360\u7528\u8fc7\u591a\u5185\u5b58\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
\u9010\u884c\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
wb = load_workbook('large_example.xlsx', read_only=True)<\/p>\n
ws = wb.active<\/p>\n
for row in ws.iter_rows(min_row=1, max_col=3, max_row=10):<\/p>\n
    for cell in row:<\/p>\n
        print(cell.value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u9010\u884c\u5199\u5165Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528openpyxl<\/code>\u9010\u884c\u5199\u5165Excel\u6587\u4ef6\uff0c\u907f\u514d\u5360\u7528\u8fc7\u591a\u5185\u5b58\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from openpyxl import Workbook<\/p>\n
\u521b\u5efa\u65b0\u7684Excel\u6587\u4ef6<\/strong><\/h2>\n
wb = Workbook()<\/p>\n
ws = wb.active<\/p>\n
\u9010\u884c\u5199\u5165\u6570\u636e<\/strong><\/h2>\n
data = [<\/p>\n
    ['Header1', 'Header2', 'Header3'],<\/p>\n
    [1, 2, 3],<\/p>\n
    [4, 5, 6],<\/p>\n
    [7, 8, 9]<\/p>\n
]<\/p>\n
for row in data:<\/p>\n
    ws.append(row)<\/p>\n
wb.save('large_output.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u5904\u7406\u4e0d\u540c\u683c\u5f0f\u7684Excel\u6587\u4ef6<\/h3>\n<\/p>\n
\u6709\u65f6\u9700\u8981\u5904\u7406\u4e0d\u540c\u683c\u5f0f\u7684Excel\u6587\u4ef6\uff0c\u4f8b\u5982xls\u683c\u5f0f\u548cxlsx\u683c\u5f0f\u3002\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u7684read_excel<\/code>\u51fd\u6570\u6765\u5904\u7406\u4e0d\u540c\u683c\u5f0f\u7684\u6587\u4ef6\u3002<\/p>\n<\/p>\n
1\u3001\u8bfb\u53d6xls\u683c\u5f0f\u7684\u6587\u4ef6<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u8bfb\u53d6xls\u683c\u5f0f\u7684\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6xls\u683c\u5f0f\u7684\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_excel('example.xls')<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6xlsx\u683c\u5f0f\u7684\u6587\u4ef6<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u8bfb\u53d6xlsx\u683c\u5f0f\u7684\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6xlsx\u683c\u5f0f\u7684\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_excel('example.xlsx')<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516b\u3001\u5904\u7406\u591a\u5de5\u4f5c\u8868\u7684Excel\u6587\u4ef6<\/h3>\n<\/p>\n
\u6709\u65f6\u4e00\u4e2aExcel\u6587\u4ef6\u4e2d\u5305\u542b\u591a\u4e2a\u5de5\u4f5c\u8868\u3002\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u6216openpyxl<\/code>\u6765\u5904\u7406\u591a\u5de5\u4f5c\u8868\u7684Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528pandas\u5904\u7406\u591a\u5de5\u4f5c\u8868<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528pandas.read_excel<\/code>\u51fd\u6570\u7684sheet_name<\/code>\u53c2\u6570\u6765\u8bfb\u53d6\u7279\u5b9a\u5de5\u4f5c\u8868\u6216\u6240\u6709\u5de5\u4f5c\u8868\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6\u6240\u6709\u5de5\u4f5c\u8868<\/strong><\/h2>\n
sheets = pd.read_excel('example.xlsx', sheet_name=None)<\/p>\n
for sheet_name, df in sheets.items():<\/p>\n
    print(f'Sheet name: {sheet_name}')<\/p>\n
    print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528openpyxl\u5904\u7406\u591a\u5de5\u4f5c\u8868<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528openpyxl<\/code>\u7684load_workbook<\/code>\u51fd\u6570\u6765\u8bfb\u53d6\u591a\u5de5\u4f5c\u8868\u7684Excel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
wb = load_workbook('example.xlsx')<\/p>\n
for sheet in wb.sheetnames:<\/p>\n
    ws = wb[sheet]<\/p>\n
    print(f'Sheet name: {sheet}')<\/p>\n
    print(ws['A1'].value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e5d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u4f7f\u7528Python\u64cd\u4f5c\u8868\u683c\u7684\u5355\u5143\u683c\u975e\u5e38\u65b9\u4fbf\uff0c\u5e38\u7528\u7684\u5e93\u6709pandas\u3001openpyxl\u3001xlrd\u548cxlwt\u3002pandas\u5e93\u9002\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u5904\u7406\uff0copenpyxl\u5e93\u9002\u7528\u4e8e\u5bf9Excel\u6587\u4ef6\u7684\u8bfb\u5199\u64cd\u4f5c<\/strong>\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u4ee5\u6839\u636e\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\uff0c\u5e76\u7075\u6d3b\u7ec4\u5408\u4f7f\u7528\u4ee5\u5b8c\u6210\u590d\u6742\u7684\u8868\u683c\u64cd\u4f5c\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u4f60\u5728\u4f7f\u7528Python\u64cd\u4f5c\u8868\u683c\u5355\u5143\u683c\u65f6\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6Excel\u8868\u683c\u7684\u5355\u5143\u683c\u6570\u636e\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u548copenpyxl<\/code>\u5e93\u6765\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u5355\u5143\u683c\u6570\u636e\u3002pandas<\/code>\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u65b9\u6cd5\u6765\u52a0\u8f7dExcel\u6587\u4ef6\uff0c\u5e76\u53ef\u4ee5\u8f7b\u677e\u8bbf\u95ee\u7279\u5b9a\u7684\u5355\u5143\u683c\u3002\u4f8b\u5982\uff0c\u4f7f\u7528pd.read_excel('\u6587\u4ef6\u540d.xlsx')<\/code>\u8bfb\u53d6\u6587\u4ef6\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7dataframe.iloc[row, column]<\/code>\u6765\u8bbf\u95ee\u7279\u5b9a\u5355\u5143\u683c\u3002<\/p>\n
Python\u53ef\u4ee5\u5bf9\u8868\u683c\u5355\u5143\u683c\u8fdb\u884c\u54ea\u4e9b\u64cd\u4f5c\uff1f<\/strong>
\u4f7f\u7528Python\u64cd\u4f5cExcel\u8868\u683c\u7684\u5355\u5143\u683c\uff0c\u60a8\u53ef\u4ee5\u6267\u884c\u591a\u79cd\u64cd\u4f5c\uff0c\u5305\u62ec\u8bfb\u53d6\u548c\u4fee\u6539\u5355\u5143\u683c\u5185\u5bb9\u3001\u6dfb\u52a0\u65b0\u884c\u6216\u5217\u3001\u5220\u9664\u7279\u5b9a\u884c\u548c\u5217\u3001\u683c\u5f0f\u5316\u5355\u5143\u683c\u4ee5\u53ca\u521b\u5efa\u56fe\u8868\u7b49\u3002\u5e93\u5982openpyxl<\/code>\u548cxlsxwriter<\/code>\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u4ee5\u652f\u6301\u8fd9\u4e9b\u64cd\u4f5c\uff0c\u8ba9\u7528\u6237\u80fd\u591f\u7075\u6d3b\u5730\u5904\u7406Excel\u6587\u4ef6\u3002<\/p>\n
\u5728Python\u4e2d\u5982\u4f55\u5199\u5165\u6570\u636e\u5230Excel\u5355\u5143\u683c\uff1f<\/strong>
\u53ef\u4ee5\u901a\u8fc7pandas<\/code>\u6216openpyxl<\/code>\u5e93\u5c06\u6570\u636e\u5199\u5165Excel\u5355\u5143\u683c\u3002\u4f7f\u7528pandas<\/code>\u65f6\uff0c\u53ef\u4ee5\u4fee\u6539DataFrame\u540e\u4f7f\u7528dataframe.to_excel('\u6587\u4ef6\u540d.xlsx', index=False)<\/code>\u4fdd\u5b58\u66f4\u6539\u3002\u901a\u8fc7openpyxl<\/code>\uff0c\u53ef\u4ee5\u6253\u5f00\u73b0\u6709\u7684Excel\u6587\u4ef6\uff0c\u4fee\u6539\u7279\u5b9a\u7684\u5355\u5143\u683c\uff0c\u7136\u540e\u4f7f\u7528workbook.save('\u6587\u4ef6\u540d.xlsx')<\/code>\u4fdd\u5b58\u66f4\u6539\u3002\u8fd9\u4f7f\u5f97\u66f4\u65b0Excel\u6587\u4ef6\u53d8\u5f97\u7b80\u5355\u6613\u884c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5982\u4f55\u64cd\u4f5c\u8868\u683c\u7684\u5355\u5143\u683cPython \u4f7f\u7528Python\u8fdb\u884c\u8868\u683c\u64cd\u4f5c\u4e3b\u8981\u6d89\u53ca\u5230\u5bf9\u7535\u5b50\u8868\u683c\u6587\u4ef6\uff08\u5982Excel\u6587\u4ef6\uff09\u7684\u8bfb […]","protected":false},"author":3,"featured_media":1080519,"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\/1080514"}],"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=1080514"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1080514\/revisions"}],"predecessor-version":[{"id":1080520,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1080514\/revisions\/1080520"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1080519"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1080514"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1080514"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1080514"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}