{"id":1050753,"date":"2024-12-31T14:10:35","date_gmt":"2024-12-31T06:10:35","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1050753.html"},"modified":"2024-12-31T14:10:37","modified_gmt":"2024-12-31T06:10:37","slug":"python%e5%a6%82%e4%bd%95%e5%b0%86%e6%9f%a5%e8%af%a2%e7%9a%84%e6%95%b0%e6%8d%ae%e5%af%bc%e5%87%ba","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1050753.html","title":{"rendered":"python\u5982\u4f55\u5c06\u67e5\u8be2\u7684\u6570\u636e\u5bfc\u51fa"},"content":{"rendered":"

\"python\u5982\u4f55\u5c06\u67e5\u8be2\u7684\u6570\u636e\u5bfc\u51fa\"<\/p>\n

Python\u5c06\u67e5\u8be2\u7684\u6570\u636e\u5bfc\u51fa\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528CSV\u6587\u4ef6\u3001\u4f7f\u7528Excel\u6587\u4ef6\u3001\u4f7f\u7528JSON\u6587\u4ef6\u3001\u4f7f\u7528\u6570\u636e\u5e93\u5bfc\u51fa\u529f\u80fd\u3001\u4f7f\u7528Pandas\u5e93\u3002<\/strong><\/p>\n<\/p>\n

\u4e0b\u9762\u5c06\u8be6\u7ec6\u5c55\u5f00\u4ecb\u7ecd\u5176\u4e2d\u4e00\u4e2a\u65b9\u6cd5\uff1a\u4f7f\u7528Pandas\u5e93\u5bfc\u51fa\u6570\u636e\u3002<\/p>\n<\/p>\n

Pandas\u662fPython\u4e2d\u975e\u5e38\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u80fd\u591f\u8f7b\u677e\u5730\u5904\u7406\u548c\u5bfc\u51fa\u6570\u636e\u3002Pandas\u53ef\u4ee5\u5c06\u6570\u636e\u5bfc\u51fa\u5230\u591a\u79cd\u683c\u5f0f\uff0c\u5305\u62ecCSV\u3001Excel\u3001JSON\u7b49\u3002\u901a\u8fc7Pandas\u5e93\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u67e5\u8be2\u7684\u6570\u636e\u5bfc\u51fa\u5e76\u4fdd\u5b58\u5230\u672c\u5730\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528Pandas\u5e93\u5bfc\u51fa\u6570\u636e<\/h3>\n<\/p>\n

1\u3001\u5b89\u88c5Pandas\u5e93<\/h4>\n<\/p>\n

\u9996\u5148\uff0c\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
2\u3001\u5bfc\u5165Pandas\u5e93<\/h4>\n<\/p>\n
\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165Pandas\u5e93\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u521b\u5efaDataFrame<\/h4>\n<\/p>\n
\u5047\u8bbe\u6211\u4eec\u5df2\u7ecf\u67e5\u8be2\u5230\u4e86\u4e00\u4e9b\u6570\u636e\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u4e00\u4e2a\u5217\u8868\u4e2d\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Pandas\u7684DataFrame\u6765\u8868\u793a\u8fd9\u4e9b\u6570\u636e\uff1a<\/p>\n<\/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
4\u3001\u5bfc\u51fa\u6570\u636e\u5230CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528Pandas\u7684to_csv<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5c06DataFrame\u5bfc\u51fa\u5230CSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
df.to_csv('output.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0cindex=False<\/code>\u8868\u793a\u4e0d\u5bfc\u51fa\u7d22\u5f15\u5217\u3002<\/p>\n<\/p>\n
5\u3001\u5bfc\u51fa\u6570\u636e\u5230Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528Pandas\u7684to_excel<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5c06DataFrame\u5bfc\u51fa\u5230Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
df.to_excel('output.xlsx', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
6\u3001\u5bfc\u51fa\u6570\u636e\u5230JSON\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528Pandas\u7684to_json<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5c06DataFrame\u5bfc\u51fa\u5230JSON\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
df.to_json('output.json', orient='records')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528CSV\u6587\u4ef6\u5bfc\u51fa\u6570\u636e<\/h3>\n<\/p>\n
1\u3001\u4f7f\u7528Python\u5185\u7f6e\u7684csv\u6a21\u5757<\/h4>\n<\/p>\n
Python\u5185\u7f6e\u7684csv\u6a21\u5757\u53ef\u4ee5\u7528\u6765\u5c06\u6570\u636e\u5bfc\u51fa\u5230CSV\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import csv<\/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
with open('output.csv', mode='w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528Pandas\u5e93\u5bfc\u51faCSV<\/h4>\n<\/p>\n
\u524d\u9762\u5df2\u7ecf\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528Pandas\u5e93\u5bfc\u51faCSV\u6587\u4ef6\uff0c\u8fd9\u91cc\u518d\u7ed9\u51fa\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\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
df.to_csv('output.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528Excel\u6587\u4ef6\u5bfc\u51fa\u6570\u636e<\/h3>\n<\/p>\n
1\u3001\u4f7f\u7528openpyxl\u5e93<\/h4>\n<\/p>\n
openpyxl\u5e93\u53ef\u4ee5\u7528\u6765\u5904\u7406Excel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from openpyxl import Workbook<\/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
wb = Workbook()<\/p>\n
ws = wb.active<\/p>\n
for row in data:<\/p>\n
    ws.append(row)<\/p>\n
wb.save('output.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528Pandas\u5e93\u5bfc\u51faExcel<\/h4>\n<\/p>\n
\u524d\u9762\u5df2\u7ecf\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528Pandas\u5e93\u5bfc\u51faExcel\u6587\u4ef6\uff0c\u8fd9\u91cc\u518d\u7ed9\u51fa\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\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
df.to_excel('output.xlsx', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u4f7f\u7528JSON\u6587\u4ef6\u5bfc\u51fa\u6570\u636e<\/h3>\n<\/p>\n
1\u3001\u4f7f\u7528Python\u5185\u7f6e\u7684json\u6a21\u5757<\/h4>\n<\/p>\n
Python\u5185\u7f6e\u7684json\u6a21\u5757\u53ef\u4ee5\u7528\u6765\u5c06\u6570\u636e\u5bfc\u51fa\u5230JSON\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import json<\/p>\n
data = [<\/p>\n
    {'Name': 'Alice', 'Age': 25, 'City': 'New York'},<\/p>\n
    {'Name': 'Bob', 'Age': 30, 'City': 'Los Angeles'},<\/p>\n
    {'Name': 'Charlie', 'Age': 35, 'City': 'Chicago'}<\/p>\n
]<\/p>\n
with open('output.json', 'w') as file:<\/p>\n
    json.dump(data, file, indent=4)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528Pandas\u5e93\u5bfc\u51faJSON<\/h4>\n<\/p>\n
\u524d\u9762\u5df2\u7ecf\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528Pandas\u5e93\u5bfc\u51faJSON\u6587\u4ef6\uff0c\u8fd9\u91cc\u518d\u7ed9\u51fa\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\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
df.to_json('output.json', orient='records')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528\u6570\u636e\u5e93\u5bfc\u51fa\u529f\u80fd<\/h3>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c06\u67e5\u8be2\u7684\u6570\u636e\u5bfc\u51fa\u5230\u6570\u636e\u5e93\u4e2d\u3002\u53ef\u4ee5\u4f7f\u7528SQLAlchemy\u5e93\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5SQLAlchemy\u5e93<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86SQLAlchemy\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 SQLAlchemy<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5bfc\u5165SQLAlchemy\u5e93<\/h4>\n<\/p>\n
\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165SQLAlchemy\u5e93\uff1a<\/p>\n<\/p>\n
from sqlalchemy import create_engine<\/p>\n
import pandas as pd<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5<\/h4>\n<\/p>\n
\u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5\uff0c\u5e76\u5c06DataFrame\u5bfc\u51fa\u5230\u6570\u636e\u5e93\u8868\u4e2d\uff1a<\/p>\n<\/p>\n
# \u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5<\/p>\n
engine = create_engine('sqlite:\/\/\/output.db')<\/p>\n
\u521b\u5efaDataFrame<\/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
df = pd.DataFrame(data)<\/p>\n
\u5bfc\u51faDataFrame\u5230\u6570\u636e\u5e93\u8868<\/strong><\/h2>\n
df.to_sql('users', con=engine, if_exists='replace', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4ee5\u4e0a\u4ee3\u7801\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5c06DataFrame\u5bfc\u51fa\u5230SQLite\u6570\u636e\u5e93\u4e2d\u7684users<\/code>\u8868\u4e2d\u3002<\/p>\n<\/p>\n
\u516d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u672c\u6587\u8be6\u7ec6\u4ecb\u7ecd\u4e86Python\u4e2d\u5c06\u67e5\u8be2\u7684\u6570\u636e\u5bfc\u51fa\u7684\u591a\u79cd\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u3001CSV\u6587\u4ef6\u3001Excel\u6587\u4ef6\u3001JSON\u6587\u4ef6\u4ee5\u53ca\u6570\u636e\u5e93\u5bfc\u51fa\u529f\u80fd\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u52bf\u548c\u9002\u7528\u573a\u666f\u3002Pandas\u5e93\u975e\u5e38\u5f3a\u5927\u4e14\u6613\u7528\uff0c\u63a8\u8350\u5728\u5927\u591a\u6570\u60c5\u51b5\u4e0b\u4f7f\u7528<\/strong>\u3002\u6b64\u5916\uff0c\u4e86\u89e3\u5176\u4ed6\u65b9\u6cd5\u4e5f\u6709\u52a9\u4e8e\u5728\u4e0d\u540c\u7684\u5e94\u7528\u573a\u666f\u4e2d\u505a\u51fa\u6700\u4f73\u9009\u62e9\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u60a8\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u5c06\u67e5\u8be2\u7684\u6570\u636e\u5bfc\u51fa\u4e3aCSV\u6587\u4ef6\uff1f<\/strong>
\u4f7f\u7528Python\u5bfc\u51fa\u67e5\u8be2\u7684\u6570\u636e\u4e3aCSV\u6587\u4ef6\uff0c\u901a\u5e38\u53ef\u4ee5\u501f\u52a9pandas<\/code>\u5e93\u6765\u5b9e\u73b0\u3002\u9996\u5148\uff0c\u9700\u8981\u786e\u4fdd\u5df2\u5b89\u88c5pandas<\/code>\u5e93\u3002\u7136\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528pandas.DataFrame.to_csv()<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u6846\u5bfc\u51fa\u4e3aCSV\u683c\u5f0f\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u57fa\u672c\u7684\u793a\u4f8b\uff1a  <\/p>\n
import pandas as pd\n\n# \u5047\u8bbe\u60a8\u5df2\u7ecf\u4ece\u6570\u636e\u5e93\u4e2d\u67e5\u8be2\u5230\u6570\u636e\uff0c\u5b58\u50a8\u5728DataFrame\u4e2d\ndata = pd.DataFrame({\n    '\u52171': [1, 2, 3],\n    '\u52172': ['A', 'B', 'C']\n})\n\n# \u5bfc\u51fa\u4e3aCSV\u6587\u4ef6\ndata.to_csv('\u5bfc\u51fa\u7684\u6570\u636e.csv', index=False, encoding='utf-8')\n<\/code><\/pre>\n
\u8fd9\u6bb5\u4ee3\u7801\u5c06\u751f\u6210\u4e00\u4e2a\u540d\u4e3a\u201c\u5bfc\u51fa\u7684\u6570\u636e.csv\u201d\u7684\u6587\u4ef6\uff0c\u6570\u636e\u5c06\u4ee5\u4e0d\u5305\u542b\u7d22\u5f15\u7684\u5f62\u5f0f\u4fdd\u5b58\u3002<\/p>\n
\u53ef\u4ee5\u4f7f\u7528Python\u5c06\u67e5\u8be2\u7684\u6570\u636e\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\u5417\uff1f<\/strong>
\u5f53\u7136\u53ef\u4ee5\u3002\u4f7f\u7528pandas<\/code>\u5e93\u540c\u6837\u53ef\u4ee5\u8f7b\u677e\u5c06\u6570\u636e\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\u3002\u60a8\u53ea\u9700\u4f7f\u7528pandas.DataFrame.to_excel()<\/code>\u65b9\u6cd5\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5openpyxl<\/code>\u6216xlsxwriter<\/code>\u5e93\u3002\u4ee5\u4e0b\u662f\u793a\u4f8b\u4ee3\u7801\uff1a  <\/p>\n
import pandas as pd\n\n# \u5047\u8bbe\u60a8\u5df2\u7ecf\u4ece\u6570\u636e\u5e93\u4e2d\u67e5\u8be2\u5230\u6570\u636e\uff0c\u5b58\u50a8\u5728DataFrame\u4e2d\ndata = pd.DataFrame({\n    '\u52171': [1, 2, 3],\n    '\u52172': ['A', 'B', 'C']\n})\n\n# \u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\ndata.to_excel('\u5bfc\u51fa\u7684\u6570\u636e.xlsx', index=False)\n<\/code><\/pre>\n
\u8fd9\u5c06\u521b\u5efa\u4e00\u4e2a\u540d\u4e3a\u201c\u5bfc\u51fa\u7684\u6570\u636e.xlsx\u201d\u7684\u6587\u4ef6\uff0c\u60a8\u7684\u6570\u636e\u5c06\u88ab\u4fdd\u5b58\u4e3aExcel\u683c\u5f0f\u3002<\/p>\n
\u5982\u4f55\u5c06\u67e5\u8be2\u7684\u6570\u636e\u5bfc\u51fa\u4e3aJSON\u683c\u5f0f\uff1f<\/strong>
\u5bfc\u51fa\u67e5\u8be2\u7684\u6570\u636e\u4e3aJSON\u683c\u5f0f\u540c\u6837\u53ef\u4ee5\u901a\u8fc7pandas<\/code>\u5e93\u5b9e\u73b0\u3002\u4f7f\u7528pandas.DataFrame.to_json()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5c06\u6570\u636e\u6846\u5bfc\u51fa\u4e3aJSON\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a  <\/p>\n
import pandas as pd\n\n# \u5047\u8bbe\u60a8\u5df2\u7ecf\u4ece\u6570\u636e\u5e93\u4e2d\u67e5\u8be2\u5230\u6570\u636e\uff0c\u5b58\u50a8\u5728DataFrame\u4e2d\ndata = pd.DataFrame({\n    '\u52171': [1, 2, 3],\n    '\u52172': ['A', 'B', 'C']\n})\n\n# \u5bfc\u51fa\u4e3aJSON\u6587\u4ef6\ndata.to_json('\u5bfc\u51fa\u7684\u6570\u636e.json', orient='records', lines=True)\n<\/code><\/pre>\n
\u8fd9\u6bb5\u4ee3\u7801\u5c06\u4f1a\u751f\u6210\u4e00\u4e2aJSON\u6587\u4ef6\uff0c\u6bcf\u4e00\u884c\u90fd\u662f\u4e00\u4e2a\u8bb0\u5f55\uff0c\u9002\u5408\u7528\u6765\u8fdb\u884c\u540e\u7eed\u7684\u6570\u636e\u5904\u7406\u6216\u4f20\u8f93\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5c06\u67e5\u8be2\u7684\u6570\u636e\u5bfc\u51fa\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528CSV\u6587\u4ef6\u3001\u4f7f\u7528Excel\u6587\u4ef6\u3001\u4f7f\u7528JSON\u6587\u4ef6\u3001\u4f7f\u7528\u6570\u636e\u5e93\u5bfc\u51fa\u529f […]","protected":false},"author":3,"featured_media":1050764,"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\/1050753"}],"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=1050753"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1050753\/revisions"}],"predecessor-version":[{"id":1050768,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1050753\/revisions\/1050768"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1050764"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1050753"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1050753"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1050753"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}