{"id":1103023,"date":"2025-01-08T16:06:09","date_gmt":"2025-01-08T08:06:09","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1103023.html"},"modified":"2025-01-08T16:06:13","modified_gmt":"2025-01-08T08:06:13","slug":"python%e5%a6%82%e4%bd%95%e5%a4%84%e7%90%86%e7%94%b5%e5%ad%90%e8%a1%a8%e6%a0%bc","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1103023.html","title":{"rendered":"python\u5982\u4f55\u5904\u7406\u7535\u5b50\u8868\u683c"},"content":{"rendered":"

\"python\u5982\u4f55\u5904\u7406\u7535\u5b50\u8868\u683c\"<\/p>\n

Python\u5904\u7406\u7535\u5b50\u8868\u683c\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u8fdb\u884c\u6570\u636e\u5206\u6790\u3001OpenPyXL\u5e93\u8fdb\u884cExcel\u6587\u4ef6\u7684\u8bfb\u5199\u3001XlsxWriter\u5e93\u8fdb\u884cExcel\u6587\u4ef6\u7684\u521b\u5efa\u548c\u683c\u5f0f\u5316\u3002<\/strong> \u5176\u4e2d\uff0cPandas\u5e93\u662f\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u7684\u5f3a\u5927\u5de5\u5177\uff0cOpenPyXL\u5e93\u5219\u9002\u7528\u4e8e\u590d\u6742\u7684Excel\u64cd\u4f5c\uff0cXlsxWriter\u5e93\u5219\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684Excel\u6587\u4ef6\u521b\u5efa\u548c\u683c\u5f0f\u5316\u80fd\u529b\u3002\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u5e76\u63d0\u4f9b\u793a\u4f8b\u4ee3\u7801\u4ee5\u5e2e\u52a9\u60a8\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528\u8fd9\u4e9b\u6280\u672f\u3002<\/p>\n<\/p>\n

\u4e00\u3001Pandas\u5e93\u5904\u7406\u7535\u5b50\u8868\u683c<\/h3>\n<\/p>\n

Pandas\u662fPython\u4e2d\u6700\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\u4e4b\u4e00\uff0c\u5177\u6709\u8bfb\u53d6\u3001\u5904\u7406\u548c\u5199\u5165\u7535\u5b50\u8868\u683c\u6587\u4ef6\u7684\u80fd\u529b\u3002\u5b83\u652f\u6301\u591a\u79cd\u6587\u4ef6\u683c\u5f0f\uff0c\u5305\u62ecCSV\u3001Excel\u3001JSON\u7b49\u3002<\/p>\n<\/p>\n

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

\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6Excel\u6587\u4ef6\u975e\u5e38\u7b80\u5355\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u5b89\u88c5Pandas\u5e93\uff1a<\/p>\n<\/p>\n

pip install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528pd.read_excel<\/code>\u51fd\u6570\u8bfb\u53d6Excel\u6587\u4ef6\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
\u663e\u793a\u6570\u636e\u6846\u7684\u524d5\u884c<\/strong><\/h2>\n
print(df.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5904\u7406\u6570\u636e<\/h4>\n<\/p>\n
Pandas\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\uff0c\u5305\u62ec\u6570\u636e\u6e05\u6d17\u3001\u7b5b\u9009\u3001\u5206\u7ec4\u3001\u805a\u5408\u7b49\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u5bf9\u6570\u636e\u8fdb\u884c\u7b5b\u9009\uff1a<\/p>\n<\/p>\n
# \u7b5b\u9009\u51fa\u5e74\u9f84\u5927\u4e8e30\u7684\u884c<\/p>\n
filtered_df = df[df['Age'] > 30]<\/p>\n
\u663e\u793a\u7b5b\u9009\u540e\u7684\u6570\u636e\u6846<\/strong><\/h2>\n
print(filtered_df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u5199\u5165Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u5904\u7406\u5b8c\u6570\u636e\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528to_excel<\/code>\u51fd\u6570\u5c06\u6570\u636e\u5199\u5165Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
# \u5c06\u6570\u636e\u5199\u5165Excel\u6587\u4ef6<\/p>\n
filtered_df.to_excel('filtered_example.xlsx', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001OpenPyXL\u5e93\u5904\u7406\u7535\u5b50\u8868\u683c<\/h3>\n<\/p>\n
OpenPyXL\u662f\u53e6\u4e00\u4e2a\u5e38\u7528\u7684\u5904\u7406Excel\u6587\u4ef6\u7684\u5e93\uff0c\u9002\u7528\u4e8e\u66f4\u590d\u6742\u7684Excel\u64cd\u4f5c\uff0c\u5982\u8bbe\u7f6e\u5355\u5143\u683c\u683c\u5f0f\u3001\u5408\u5e76\u5355\u5143\u683c\u7b49\u3002<\/p>\n<\/p>\n
1\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u60a8\u9700\u8981\u5b89\u88c5OpenPyXL\u5e93\uff1a<\/p>\n<\/p>\n
pip install openpyxl<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6Excel\u6587\u4ef6\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
\u83b7\u53d6\u6d3b\u52a8\u5de5\u4f5c\u8868<\/strong><\/h2>\n
ws = wb.active<\/p>\n
\u663e\u793a\u5de5\u4f5c\u8868\u7684\u6807\u9898<\/strong><\/h2>\n
print(ws.title)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u64cd\u4f5c\u5355\u5143\u683c<\/h4>\n<\/p>\n
\u60a8\u53ef\u4ee5\u4f7f\u7528OpenPyXL\u5e93\u5bf9\u5355\u5143\u683c\u8fdb\u884c\u64cd\u4f5c\uff0c\u4f8b\u5982\u8bfb\u53d6\u5355\u5143\u683c\u7684\u503c\u3001\u4fee\u6539\u5355\u5143\u683c\u7684\u503c\u7b49\uff1a<\/p>\n<\/p>\n
# \u8bfb\u53d6\u5355\u5143\u683c\u7684\u503c<\/p>\n
cell_value = ws['A1'].value<\/p>\n
print(cell_value)<\/p>\n
\u4fee\u6539\u5355\u5143\u683c\u7684\u503c<\/strong><\/h2>\n
ws['A1'].value = 'New Value'<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u4fdd\u5b58Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u4fee\u6539\u5b8c\u6210\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528save<\/code>\u65b9\u6cd5\u5c06\u66f4\u6539\u4fdd\u5b58\u5230Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
# \u4fdd\u5b58Excel\u6587\u4ef6<\/p>\n
wb.save('modified_example.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001XlsxWriter\u5e93\u521b\u5efa\u548c\u683c\u5f0f\u5316Excel\u6587\u4ef6<\/h3>\n<\/p>\n
XlsxWriter\u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efa\u548c\u683c\u5f0f\u5316Excel\u6587\u4ef6\u7684\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u683c\u5f0f\u5316\u9009\u9879\u548c\u56fe\u8868\u529f\u80fd\u3002<\/p>\n<\/p>\n
1\u3001\u521b\u5efaExcel\u6587\u4ef6<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u60a8\u9700\u8981\u5b89\u88c5XlsxWriter\u5e93\uff1a<\/p>\n<\/p>\n
pip install XlsxWriter<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u521b\u5efa\u4e00\u4e2a\u65b0\u7684Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import xlsxwriter<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u65b0\u7684Excel\u6587\u4ef6<\/strong><\/h2>\n
workbook = xlsxwriter.Workbook('new_example.xlsx')<\/p>\n
\u6dfb\u52a0\u4e00\u4e2a\u5de5\u4f5c\u8868<\/strong><\/h2>\n
worksheet = workbook.add_worksheet()<\/p>\n
\u5199\u5165\u6570\u636e\u5230\u5355\u5143\u683c<\/strong><\/h2>\n
worksheet.write('A1', 'Hello')<\/p>\n
worksheet.write('A2', 'World')<\/p>\n
\u5173\u95ed\u5e76\u4fdd\u5b58\u6587\u4ef6<\/strong><\/h2>\n
workbook.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u683c\u5f0f\u5316\u5355\u5143\u683c<\/h4>\n<\/p>\n
XlsxWriter\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5355\u5143\u683c\u683c\u5f0f\u5316\u9009\u9879\uff0c\u4f8b\u5982\u8bbe\u7f6e\u5b57\u4f53\u3001\u989c\u8272\u3001\u5bf9\u9f50\u65b9\u5f0f\u7b49\uff1a<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2a\u683c\u5f0f\u5bf9\u8c61<\/p>\n
bold = workbook.add_format({'bold': True})<\/p>\n
italic = workbook.add_format({'italic': True})<\/p>\n
red = workbook.add_format({'font_color': 'red'})<\/p>\n
\u5e94\u7528\u683c\u5f0f\u5230\u5355\u5143\u683c<\/strong><\/h2>\n
worksheet.write('A1', 'Hello', bold)<\/p>\n
worksheet.write('A2', 'World', italic)<\/p>\n
worksheet.write('A3', '!', red)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u521b\u5efa\u56fe\u8868<\/h4>\n<\/p>\n
XlsxWriter\u8fd8\u652f\u6301\u521b\u5efa\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\uff0c\u4f8b\u5982\u67f1\u72b6\u56fe\u3001\u6298\u7ebf\u56fe\u7b49\uff1a<\/p>\n<\/p>\n
# \u6dfb\u52a0\u4e00\u4e2a\u56fe\u8868<\/p>\n
chart = workbook.add_chart({'type': 'column'})<\/p>\n
\u914d\u7f6e\u56fe\u8868\u6570\u636e<\/strong><\/h2>\n
chart.add_series({<\/p>\n
    'categories': '=Sheet1!$A$1:$A$2',<\/p>\n
    'values': '=Sheet1!$B$1:$B$2',<\/p>\n
})<\/p>\n
\u5c06\u56fe\u8868\u63d2\u5165\u5230\u5de5\u4f5c\u8868<\/strong><\/h2>\n
worksheet.insert_chart('D1', chart)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u7efc\u5408\u5e94\u7528<\/h3>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u60a8\u53ef\u80fd\u9700\u8981\u7efc\u5408\u4f7f\u7528\u4e0a\u8ff0\u5e93\u6765\u5b8c\u6210\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u548cExcel\u6587\u4ef6\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u5904\u7406\uff0c\u7136\u540e\u4f7f\u7528OpenPyXL\u5e93\u8fdb\u884c\u66f4\u590d\u6742\u7684Excel\u64cd\u4f5c\uff0c\u6700\u540e\u4f7f\u7528XlsxWriter\u5e93\u521b\u5efa\u548c\u683c\u5f0f\u5316Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
1\u3001\u5b9e\u4f8b\u4ee3\u7801<\/h4>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7efc\u5408\u5e94\u7528\u7684\u5b9e\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
from openpyxl import load_workbook<\/p>\n
import xlsxwriter<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_excel('example.xlsx')<\/p>\n
\u5904\u7406\u6570\u636e<\/strong><\/h2>\n
filtered_df = df[df['Age'] > 30]<\/p>\n
\u5199\u5165\u4e34\u65f6Excel\u6587\u4ef6<\/strong><\/h2>\n
filtered_df.to_excel('temp_filtered_example.xlsx', index=False)<\/p>\n
\u4f7f\u7528OpenPyXL\u5e93\u8bfb\u53d6\u4e34\u65f6Excel\u6587\u4ef6<\/strong><\/h2>\n
wb = load_workbook('temp_filtered_example.xlsx')<\/p>\n
ws = wb.active<\/p>\n
\u4fee\u6539\u5355\u5143\u683c\u7684\u503c<\/strong><\/h2>\n
ws['A1'].value = 'New Value'<\/p>\n
\u4fdd\u5b58\u4fee\u6539\u540e\u7684Excel\u6587\u4ef6<\/strong><\/h2>\n
wb.save('modified_filtered_example.xlsx')<\/p>\n
\u4f7f\u7528XlsxWriter\u5e93\u521b\u5efa\u548c\u683c\u5f0f\u5316\u6700\u7ec8\u7684Excel\u6587\u4ef6<\/strong><\/h2>\n
workbook = xlsxwriter.Workbook('final_example.xlsx')<\/p>\n
worksheet = workbook.add_worksheet()<\/p>\n
\u5199\u5165\u6570\u636e\u5230\u5355\u5143\u683c<\/strong><\/h2>\n
worksheet.write('A1', 'Hello')<\/p>\n
worksheet.write('A2', 'World')<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u683c\u5f0f\u5bf9\u8c61<\/strong><\/h2>\n
bold = workbook.add_format({'bold': True})<\/p>\n
red = workbook.add_format({'font_color': 'red'})<\/p>\n
\u5e94\u7528\u683c\u5f0f\u5230\u5355\u5143\u683c<\/strong><\/h2>\n
worksheet.write('A1', 'Hello', bold)<\/p>\n
worksheet.write('A2', 'World', red)<\/p>\n
\u6dfb\u52a0\u4e00\u4e2a\u56fe\u8868<\/strong><\/h2>\n
chart = workbook.add_chart({'type': 'column'})<\/p>\n
\u914d\u7f6e\u56fe\u8868\u6570\u636e<\/strong><\/h2>\n
chart.add_series({<\/p>\n
    'categories': '=Sheet1!$A$1:$A$2',<\/p>\n
    'values': '=Sheet1!$B$1:$B$2',<\/p>\n
})<\/p>\n
\u5c06\u56fe\u8868\u63d2\u5165\u5230\u5de5\u4f5c\u8868<\/strong><\/h2>\n
worksheet.insert_chart('D1', chart)<\/p>\n
\u5173\u95ed\u5e76\u4fdd\u5b58\u6587\u4ef6<\/strong><\/h2>\n
workbook.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u4ee3\u7801\uff0c\u60a8\u53ef\u4ee5\u770b\u5230\u5982\u4f55\u7efc\u5408\u4f7f\u7528Pandas\u3001OpenPyXL\u548cXlsxWriter\u5e93\u6765\u5904\u7406\u7535\u5b50\u8868\u683c\u6587\u4ef6\u3002\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u60a8\u66f4\u9ad8\u6548\u5730\u5b8c\u6210\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u548cExcel\u6587\u4ef6\u64cd\u4f5c\u4efb\u52a1\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
Python\u63d0\u4f9b\u4e86\u591a\u79cd\u5904\u7406\u7535\u5b50\u8868\u683c\u6587\u4ef6\u7684\u65b9\u6cd5\uff0c\u5305\u62ecPandas\u3001OpenPyXL\u548cXlsxWriter\u5e93\u3002\u4f7f\u7528Pandas\u5e93\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3001\u4f7f\u7528OpenPyXL\u5e93\u8fdb\u884c\u590d\u6742\u7684Excel\u64cd\u4f5c\u3001\u4f7f\u7528XlsxWriter\u5e93\u521b\u5efa\u548c\u683c\u5f0f\u5316Excel\u6587\u4ef6<\/strong>\uff0c\u53ef\u4ee5\u5e2e\u52a9\u60a8\u66f4\u9ad8\u6548\u5730\u5b8c\u6210\u5404\u79cd\u6570\u636e\u5904\u7406\u548cExcel\u6587\u4ef6\u64cd\u4f5c\u4efb\u52a1\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u60a8\u6709\u6240\u5e2e\u52a9\uff0c\u8ba9\u60a8\u5728\u5904\u7406\u7535\u5b50\u8868\u683c\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\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\uff1f<\/strong>
Python\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5e93\u6765\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u662fpandas<\/code>\u548copenpyxl<\/code>\u3002\u901a\u8fc7pandas<\/code>\uff0c\u7528\u6237\u53ef\u4ee5\u4f7f\u7528read_excel()<\/code>\u51fd\u6570\u6765\u8f7b\u677e\u52a0\u8f7dExcel\u6587\u4ef6\uff0c\u5e76\u5c06\u6570\u636e\u8f6c\u6362\u4e3aDataFrame\u683c\u5f0f\uff0c\u8fd9\u6837\u4fbf\u4e8e\u540e\u7eed\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002<\/p>\n
Python\u5904\u7406\u7535\u5b50\u8868\u683c\u65f6\uff0c\u5982\u4f55\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u548c\u9884\u5904\u7406\uff1f<\/strong>
\u5728\u5904\u7406\u7535\u5b50\u8868\u683c\u65f6\uff0c\u6570\u636e\u6e05\u6d17\u662f\u975e\u5e38\u91cd\u8981\u7684\u4e00\u6b65\u3002\u4f7f\u7528pandas<\/code>\u5e93\uff0c\u7528\u6237\u53ef\u4ee5\u5229\u7528\u51fd\u6570\u5982dropna()<\/code>\u6765\u5220\u9664\u7f3a\u5931\u503c\uff0cfillna()<\/code>\u6765\u586b\u5145\u7f3a\u5931\u6570\u636e\uff0c\u6216\u8005\u4f7f\u7528replace()<\/code>\u6765\u66ff\u6362\u7279\u5b9a\u503c\u3002\u6b64\u5916\uff0c\u7528\u6237\u8fd8\u53ef\u4ee5\u901a\u8fc7astype()<\/code>\u65b9\u6cd5\u6765\u8f6c\u6362\u6570\u636e\u7c7b\u578b\uff0c\u4ee5\u786e\u4fdd\u6570\u636e\u7684\u51c6\u786e\u6027\u548c\u4e00\u81f4\u6027\u3002<\/p>\n
\u5982\u4f55\u4f7f\u7528Python\u5c06\u5904\u7406\u540e\u7684\u6570\u636e\u4fdd\u5b58\u56deExcel\u6587\u4ef6\uff1f<\/strong>
\u4f7f\u7528pandas<\/code>\u5e93\uff0c\u7528\u6237\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u5904\u7406\u540e\u7684\u6570\u636e\u4fdd\u5b58\u56deExcel\u6587\u4ef6\u3002\u901a\u8fc7to_excel()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u5c06DataFrame\u5bfc\u51fa\u4e3aExcel\u683c\u5f0f\u3002\u7528\u6237\u53ef\u4ee5\u6307\u5b9a\u6587\u4ef6\u540d\u3001\u5de5\u4f5c\u8868\u540d\u79f0\u4ee5\u53ca\u662f\u5426\u5305\u542b\u7d22\u5f15\u7b49\u53c2\u6570\uff0c\u4ece\u800c\u5b9e\u73b0\u7075\u6d3b\u7684\u6570\u636e\u8f93\u51fa\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5904\u7406\u7535\u5b50\u8868\u683c\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u8fdb\u884c\u6570\u636e\u5206\u6790\u3001OpenPyXL\u5e93\u8fdb\u884cExcel\u6587\u4ef6 […]","protected":false},"author":3,"featured_media":1103039,"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\/1103023"}],"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=1103023"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1103023\/revisions"}],"predecessor-version":[{"id":1103040,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1103023\/revisions\/1103040"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1103039"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1103023"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1103023"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1103023"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}