{"id":1061192,"date":"2024-12-31T15:40:38","date_gmt":"2024-12-31T07:40:38","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1061192.html"},"modified":"2024-12-31T15:40:40","modified_gmt":"2024-12-31T07:40:40","slug":"python%e5%a6%82%e4%bd%95%e5%86%99%e5%85%a5%e6%95%b0%e6%8d%ae%e5%88%b0csv%e6%96%87%e4%bb%b6","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1061192.html","title":{"rendered":"python\u5982\u4f55\u5199\u5165\u6570\u636e\u5230csv\u6587\u4ef6"},"content":{"rendered":"

\"python\u5982\u4f55\u5199\u5165\u6570\u636e\u5230csv\u6587\u4ef6\"<\/p>\n

Python\u5199\u5165\u6570\u636e\u5230CSV\u6587\u4ef6\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5982\u4f7f\u7528csv\u6a21\u5757\u3001pandas\u5e93\u3001\u4ee5\u53ca\u5176\u4ed6\u7b2c\u4e09\u65b9\u5e93\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528csv\u6a21\u5757\u548cpandas\u5e93\u662f\u6700\u5e38\u89c1\u7684\u65b9\u5f0f\u3002csv\u6a21\u5757\u9002\u5408\u5904\u7406\u8f83\u7b80\u5355\u7684CSV\u6587\u4ef6\u64cd\u4f5c\u3001pandas\u5e93\u9002\u5408\u5904\u7406\u66f4\u590d\u6742\u7684\u6570\u636e\u64cd\u4f5c\u3002<\/strong> \u4e0b\u9762\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e24\u79cd\u65b9\u6cd5\uff0c\u5e76\u7ed9\u51fa\u76f8\u5e94\u7684\u4ee3\u7801\u793a\u4f8b\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528csv\u6a21\u5757<\/h3>\n<\/p>\n

csv\u6a21\u5757\u662fPython\u6807\u51c6\u5e93\u4e2d\u7528\u4e8e\u5904\u7406CSV\u6587\u4ef6\u7684\u6a21\u5757\u3002\u5b83\u63d0\u4f9b\u4e86\u65b9\u4fbf\u7684\u65b9\u6cd5\u6765\u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n

1\u3001\u4f7f\u7528csv.writer\u5199\u5165\u6570\u636e<\/h4>\n<\/p>\n

csv.writer\u662fcsv\u6a21\u5757\u4e2d\u7684\u4e00\u4e2a\u7c7b\uff0c\u7528\u4e8e\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u3002\u5b83\u53ef\u4ee5\u5c06\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u4e2d\uff0c\u6bcf\u4e2a\u5217\u8868\u9879\u4f5c\u4e3a\u4e00\u884c\u3002<\/p>\n<\/p>\n

import csv<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
data = [<\/p>\n
    ["Name", "Age", "City"],<\/p>\n
    ["Alice", 30, "New York"],<\/p>\n
    ["Bob", 25, "Los Angeles"],<\/p>\n
    ["Charlie", 35, "Chicago"]<\/p>\n
]<\/p>\n
\u6253\u5f00\u6587\u4ef6\u5e76\u5199\u5165\u6570\u636e<\/strong><\/h2>\n
with open('output.csv', 'w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0ccsv.writer<\/code>\u521b\u5efa\u4e86\u4e00\u4e2a\u5199\u5165\u5bf9\u8c61\uff0cwriterows<\/code>\u65b9\u6cd5\u7528\u4e8e\u5c06\u591a\u884c\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
2\u3001\u4f7f\u7528csv.DictWriter\u5199\u5165\u6570\u636e<\/h4>\n<\/p>\n
csv.DictWriter\u662fcsv\u6a21\u5757\u4e2d\u7684\u53e6\u4e00\u4e2a\u7c7b\uff0c\u5b83\u5141\u8bb8\u4f7f\u7528\u5b57\u5178\u6765\u5199\u5165CSV\u6587\u4ef6\u3002\u6bcf\u4e2a\u5b57\u5178\u7684\u952e\u5c06\u4f5c\u4e3aCSV\u6587\u4ef6\u7684\u5217\u540d\u3002<\/p>\n<\/p>\n
import csv<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
data = [<\/p>\n
    {"Name": "Alice", "Age": 30, "City": "New York"},<\/p>\n
    {"Name": "Bob", "Age": 25, "City": "Los Angeles"},<\/p>\n
    {"Name": "Charlie", "Age": 35, "City": "Chicago"}<\/p>\n
]<\/p>\n
\u6253\u5f00\u6587\u4ef6\u5e76\u5199\u5165\u6570\u636e<\/strong><\/h2>\n
with open('output.csv', 'w', newline='') as file:<\/p>\n
    fieldnames = ["Name", "Age", "City"]<\/p>\n
    writer = csv.DictWriter(file, fieldnames=fieldnames)<\/p>\n
    writer.writeheader()<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0ccsv.DictWriter<\/code>\u521b\u5efa\u4e86\u4e00\u4e2a\u5199\u5165\u5bf9\u8c61\uff0cwriteheader<\/code>\u65b9\u6cd5\u7528\u4e8e\u5199\u5165\u5217\u540d\uff0cwriterows<\/code>\u65b9\u6cd5\u7528\u4e8e\u5199\u5165\u591a\u884c\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528pandas\u5e93<\/h3>\n<\/p>\n
pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u9002\u7528\u4e8e\u5904\u7406\u5927\u578b\u548c\u590d\u6742\u7684\u6570\u636e\u96c6\u3002\u5b83\u63d0\u4f9b\u4e86DataFrame\u6570\u636e\u7ed3\u6784\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u64cd\u4f5c\u548c\u5bfc\u51fa\u3002<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528pandas.DataFrame.to_csv\u5199\u5165\u6570\u636e<\/h4>\n<\/p>\n
pandas\u7684DataFrame\u5bf9\u8c61\u63d0\u4f9b\u4e86to_csv\u65b9\u6cd5\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
data = {<\/p>\n
    "Name": ["Alice", "Bob", "Charlie"],<\/p>\n
    "Age": [30, 25, 35],<\/p>\n
    "City": ["New York", "Los Angeles", "Chicago"]<\/p>\n
}<\/p>\n
\u521b\u5efaDataFrame<\/strong><\/h2>\n
df = pd.DataFrame(data)<\/p>\n
\u5199\u5165CSV\u6587\u4ef6<\/strong><\/h2>\n
df.to_csv('output.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0cpd.DataFrame<\/code>\u521b\u5efa\u4e86\u4e00\u4e2aDataFrame\u5bf9\u8c61\uff0cto_csv<\/code>\u65b9\u6cd5\u5c06DataFrame\u4e2d\u7684\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\uff0c\u53c2\u6570index=False<\/code>\u8868\u793a\u4e0d\u5199\u5165\u884c\u7d22\u5f15\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u5904\u7406\u7f16\u7801\u95ee\u9898<\/h3>\n<\/p>\n
\u5728\u5904\u7406CSV\u6587\u4ef6\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u7f16\u7801\u95ee\u9898\uff0c\u7279\u522b\u662f\u5728\u5904\u7406\u5305\u542b\u975eASCII\u5b57\u7b26\u7684\u6570\u636e\u65f6\u3002\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u7f16\u7801\u683c\u5f0f\u6765\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u3002<\/p>\n<\/p>\n
1\u3001\u6307\u5b9a\u7f16\u7801\u683c\u5f0f\u5199\u5165CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u5728\u5199\u5165CSV\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7open<\/code>\u51fd\u6570\u7684encoding<\/code>\u53c2\u6570\u6765\u6307\u5b9a\u7f16\u7801\u683c\u5f0f\u3002<\/p>\n<\/p>\n
import csv<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
data = [<\/p>\n
    ["Name", "Age", "City"],<\/p>\n
    ["Alice", 30, "New York"],<\/p>\n
    ["Bob", 25, "Los Angeles"],<\/p>\n
    ["Charlie", 35, "Chicago"]<\/p>\n
]<\/p>\n
\u6253\u5f00\u6587\u4ef6\u5e76\u5199\u5165\u6570\u636e\uff0c\u6307\u5b9a\u7f16\u7801\u683c\u5f0f<\/strong><\/h2>\n
with open('output.csv', 'w', newline='', encoding='utf-8') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7encoding='utf-8'<\/code>\u6307\u5b9a\u4e86\u5199\u5165CSV\u6587\u4ef6\u65f6\u4f7f\u7528\u7684\u7f16\u7801\u683c\u5f0f\u3002<\/p>\n<\/p>\n
\u56db\u3001\u8ffd\u52a0\u6570\u636e\u5230CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u6709\u65f6\uff0c\u6211\u4eec\u9700\u8981\u5728\u5df2\u6709\u7684CSV\u6587\u4ef6\u4e2d\u8ffd\u52a0\u6570\u636e\uff0c\u800c\u4e0d\u662f\u8986\u76d6\u539f\u6709\u6570\u636e\u3002\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u6587\u4ef6\u6253\u5f00\u6a21\u5f0f\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528csv.writer\u8ffd\u52a0\u6570\u636e<\/h4>\n<\/p>\n
\u5c06\u6587\u4ef6\u6253\u5f00\u6a21\u5f0f\u8bbe\u7f6e\u4e3a'a'<\/code>\uff0c\u8868\u793a\u8ffd\u52a0\u6570\u636e\u3002<\/p>\n<\/p>\n
import csv<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
data = [<\/p>\n
    ["David", 40, "San Francisco"],<\/p>\n
    ["Eve", 28, "Boston"]<\/p>\n
]<\/p>\n
\u6253\u5f00\u6587\u4ef6\u5e76\u8ffd\u52a0\u6570\u636e<\/strong><\/h2>\n
with open('output.csv', 'a', newline='', encoding='utf-8') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7open<\/code>\u51fd\u6570\u7684'a'<\/code>\u6a21\u5f0f\u6253\u5f00\u6587\u4ef6\uff0c\u8868\u793a\u5728\u6587\u4ef6\u672b\u5c3e\u8ffd\u52a0\u6570\u636e\u3002<\/p>\n<\/p>\n
2\u3001\u4f7f\u7528csv.DictWriter\u8ffd\u52a0\u6570\u636e<\/h4>\n<\/p>\n
\u7c7b\u4f3c\u5730\uff0c\u53ef\u4ee5\u4f7f\u7528csv.DictWriter\u5728\u6587\u4ef6\u672b\u5c3e\u8ffd\u52a0\u6570\u636e\u3002<\/p>\n<\/p>\n
import csv<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
data = [<\/p>\n
    {"Name": "David", "Age": 40, "City": "San Francisco"},<\/p>\n
    {"Name": "Eve", "Age": 28, "City": "Boston"}<\/p>\n
]<\/p>\n
\u6253\u5f00\u6587\u4ef6\u5e76\u8ffd\u52a0\u6570\u636e<\/strong><\/h2>\n
with open('output.csv', 'a', newline='', encoding='utf-8') as file:<\/p>\n
    fieldnames = ["Name", "Age", "City"]<\/p>\n
    writer = csv.DictWriter(file, fieldnames=fieldnames)<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7open<\/code>\u51fd\u6570\u7684'a'<\/code>\u6a21\u5f0f\u6253\u5f00\u6587\u4ef6\uff0c\u8868\u793a\u5728\u6587\u4ef6\u672b\u5c3e\u8ffd\u52a0\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u5904\u7406\u5927\u6570\u636e\u96c6<\/h3>\n<\/p>\n
\u5728\u5904\u7406\u5927\u6570\u636e\u96c6\u65f6\uff0c\u53ef\u80fd\u9700\u8981\u5206\u6279\u6b21\u5199\u5165CSV\u6587\u4ef6\uff0c\u4ee5\u907f\u514d\u5185\u5b58\u5360\u7528\u8fc7\u5927\u3002\u53ef\u4ee5\u901a\u8fc7\u751f\u6210\u5668\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002<\/p>\n<\/p>\n
1\u3001\u5206\u6279\u6b21\u5199\u5165CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528\u751f\u6210\u5668\u6765\u5206\u6279\u6b21\u5199\u5165\u6570\u636e\u3002<\/p>\n<\/p>\n
import csv<\/p>\n
\u751f\u6210\u5668\u51fd\u6570\uff0c\u5206\u6279\u6b21\u751f\u6210\u6570\u636e<\/strong><\/h2>\n
def data_generator():<\/p>\n
    for i in range(1000000):  # \u5047\u8bbe\u6709\u4e00\u767e\u4e07\u6761\u6570\u636e<\/p>\n
        yield ["Name" + str(i), i, "City" + str(i)]<\/p>\n
\u6253\u5f00\u6587\u4ef6\u5e76\u5199\u5165\u6570\u636e<\/strong><\/h2>\n
with open('output.csv', 'w', newline='', encoding='utf-8') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerow(["Name", "Age", "City"])  # \u5199\u5165\u5217\u540d<\/p>\n
    for batch in data_generator():<\/p>\n
        writer.writerow(batch)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7\u751f\u6210\u5668\u51fd\u6570data_generator<\/code>\u5206\u6279\u6b21\u751f\u6210\u6570\u636e\uff0c\u907f\u514d\u4e00\u6b21\u6027\u5c06\u6240\u6709\u6570\u636e\u52a0\u8f7d\u5230\u5185\u5b58\u4e2d\u3002<\/p>\n<\/p>\n
\u516d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u4e86Python\u5199\u5165\u6570\u636e\u5230CSV\u6587\u4ef6\u7684\u51e0\u79cd\u5e38\u7528\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528csv\u6a21\u5757\u548cpandas\u5e93\u3002csv\u6a21\u5757\u9002\u5408\u5904\u7406\u8f83\u7b80\u5355\u7684CSV\u6587\u4ef6\u64cd\u4f5c\uff0cpandas\u5e93\u9002\u5408\u5904\u7406\u66f4\u590d\u6742\u7684\u6570\u636e\u64cd\u4f5c\u3002<\/strong> \u901a\u8fc7\u6307\u5b9a\u7f16\u7801\u683c\u5f0f\u548c\u6587\u4ef6\u6253\u5f00\u6a21\u5f0f\uff0c\u53ef\u4ee5\u89e3\u51b3\u7f16\u7801\u95ee\u9898\u548c\u5b9e\u73b0\u8ffd\u52a0\u6570\u636e\u7684\u9700\u6c42\u3002\u5bf9\u4e8e\u5927\u6570\u636e\u96c6\uff0c\u53ef\u4ee5\u4f7f\u7528\u751f\u6210\u5668\u5206\u6279\u6b21\u5199\u5165\u6570\u636e\uff0c\u4ee5\u907f\u514d\u5185\u5b58\u5360\u7528\u8fc7\u5927\u3002\u5e0c\u671b\u672c\u6587\u80fd\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u638c\u63e1Python\u5199\u5165CSV\u6587\u4ef6\u7684\u6280\u5de7\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u5e93\u5199\u5165CSV\u6587\u4ef6\uff1f<\/strong>
Python\u4e2d\u6709\u591a\u4e2a\u5e93\u53ef\u4ee5\u7528\u6765\u5199\u5165CSV\u6587\u4ef6\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u662fcsv<\/code>\u6a21\u5757\u548cpandas<\/code>\u5e93\u3002\u4f7f\u7528csv<\/code>\u6a21\u5757\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7csv.writer()<\/code>\u51fd\u6570\u521b\u5efa\u4e00\u4e2a\u5199\u5165\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528writerow()<\/code>\u6216writerows()<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u5199\u5165\u6587\u4ef6\u3002\u5982\u679c\u9009\u62e9\u4f7f\u7528pandas<\/code>\u5e93\uff0c\u53ef\u4ee5\u5229\u7528DataFrame<\/code>\u5bf9\u8c61\u4e2d\u7684to_csv()<\/code>\u65b9\u6cd5\u66f4\u65b9\u4fbf\u5730\u5904\u7406\u548c\u5199\u5165\u6570\u636e\u3002<\/p>\n
\u5728\u5199\u5165CSV\u6587\u4ef6\u65f6\u5982\u4f55\u5904\u7406\u7279\u6b8a\u5b57\u7b26\uff1f<\/strong>
\u5728\u5199\u5165CSV\u6587\u4ef6\u65f6\uff0c\u5904\u7406\u7279\u6b8a\u5b57\u7b26\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u95ee\u9898\u3002\u4f8b\u5982\uff0c\u9017\u53f7\u3001\u6362\u884c\u7b26\u548c\u5f15\u53f7\u7b49\u5b57\u7b26\u53ef\u80fd\u4f1a\u5bfc\u81f4\u6570\u636e\u683c\u5f0f\u6df7\u4e71\u3002\u4f7f\u7528csv<\/code>\u6a21\u5757\u65f6\uff0c\u53ef\u4ee5\u8bbe\u7f6equotechar<\/code>\u548cquoting<\/code>\u53c2\u6570\uff0c\u4ee5\u786e\u4fdd\u7279\u6b8a\u5b57\u7b26\u88ab\u6b63\u786e\u5904\u7406\u3002\u5bf9\u4e8epandas<\/code>\uff0c\u5728\u4f7f\u7528to_csv()<\/code>\u65f6\uff0c\u53ef\u4ee5\u8bbe\u7f6equoting<\/code>\u53c2\u6570\u6765\u63a7\u5236\u5982\u4f55\u5904\u7406\u8fd9\u4e9b\u5b57\u7b26\uff0c\u786e\u4fdd\u6570\u636e\u7684\u51c6\u786e\u6027\u3002<\/p>\n
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\u5728\u5199\u5165CSV\u6587\u4ef6\u65f6\uff0c\u6307\u5b9a\u7f16\u7801\u683c\u5f0f\u662f\u975e\u5e38\u91cd\u8981\u7684\uff0c\u5c24\u5176\u662f\u5728\u5904\u7406\u591a\u8bed\u8a00\u6587\u672c\u65f6\u3002\u5728\u4f7f\u7528csv<\/code>\u6a21\u5757\u65f6\uff0c\u53ef\u4ee5\u5728\u6253\u5f00\u6587\u4ef6\u65f6\u6307\u5b9aencoding<\/code>\u53c2\u6570\uff0c\u4f8b\u5982open('file.csv', 'w', encoding='utf-8')<\/code>\u3002\u5982\u679c\u4f7f\u7528pandas<\/code>\u5e93\uff0c\u53ef\u4ee5\u5728\u8c03\u7528to_csv()<\/code>\u65b9\u6cd5\u65f6\u901a\u8fc7encoding<\/code>\u53c2\u6570\u6307\u5b9a\u7f16\u7801\u683c\u5f0f\uff0c\u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd\u6587\u4ef6\u6b63\u786e\u4fdd\u5b58\u5e76\u80fd\u88ab\u5176\u4ed6\u7a0b\u5e8f\u8bfb\u53d6\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5199\u5165\u6570\u636e\u5230CSV\u6587\u4ef6\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5982\u4f7f\u7528csv\u6a21\u5757\u3001pandas\u5e93\u3001\u4ee5\u53ca\u5176\u4ed6\u7b2c\u4e09\u65b9\u5e93\u3002 \u5176\u4e2d\uff0c\u4f7f\u7528 […]","protected":false},"author":3,"featured_media":1061199,"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\/1061192"}],"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=1061192"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1061192\/revisions"}],"predecessor-version":[{"id":1061202,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1061192\/revisions\/1061202"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1061199"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1061192"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1061192"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1061192"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}