{"id":1163963,"date":"2025-01-15T15:01:06","date_gmt":"2025-01-15T07:01:06","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1163963.html"},"modified":"2025-01-15T15:01:09","modified_gmt":"2025-01-15T07:01:09","slug":"%e5%a6%82%e4%bd%95%e5%b0%86python%e8%bd%accsv","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1163963.html","title":{"rendered":"\u5982\u4f55\u5c06python\u8f6ccsv"},"content":{"rendered":"

\"\u5982\u4f55\u5c06python\u8f6ccsv\"<\/p>\n

\u5728Python\u4e2d\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\u3002\u4e3b\u8981\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528csv<\/code>\u6a21\u5757\u3001pandas<\/code>\u5e93\u3001numpy<\/code>\u5e93<\/strong>\u3002\u5176\u4e2d\uff0ccsv<\/code>\u6a21\u5757\u662fPython\u5185\u7f6e\u6a21\u5757\uff0c\u9002\u5408\u5904\u7406\u7b80\u5355\u7684CSV\u6587\u4ef6\uff1bpandas<\/code>\u5e93\u5219\u529f\u80fd\u5f3a\u5927\uff0c\u9002\u5408\u5904\u7406\u590d\u6742\u7684\u6570\u636e\uff1bnumpy<\/code>\u5e93\u9002\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u3002\u901a\u5e38\u60c5\u51b5\u4e0b\uff0c\u4f7f\u7528pandas<\/code>\u5e93\u662f\u6700\u63a8\u8350\u7684<\/strong>\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u64cd\u4f5c\u529f\u80fd\uff0c\u5e76\u4e14\u53ef\u4ee5\u8f7b\u677e\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u3002<\/p>\n<\/p>\n

CSV\u6a21\u5757<\/h3>\n<\/p>\n

1\u3001\u57fa\u672c\u7528\u6cd5<\/h4>\n<\/p>\n

csv<\/code>\u6a21\u5757\u662fPython\u5185\u7f6e\u7684\u6a21\u5757\uff0c\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u5c55\u793a\u5982\u4f55\u4f7f\u7528csv<\/code>\u6a21\u5757\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n

import csv<\/p>\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
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\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u5217\u8868data<\/code>\uff0c\u5305\u542b\u4e00\u4e9b\u6570\u636e\u3002\u7136\u540e\u4f7f\u7528csv.writer<\/code>\u5bf9\u8c61\u5c06\u6570\u636e\u5199\u5165output.csv<\/code>\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
2\u3001\u5199\u5165\u5b57\u5178<\/h4>\n<\/p>\n
\u5982\u679c\u6570\u636e\u4ee5\u5b57\u5178\u5f62\u5f0f\u5b58\u50a8\uff0c\u53ef\u4ee5\u4f7f\u7528csv.DictWriter<\/code>\u5c06\u5b57\u5178\u5199\u5165CSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import csv<\/p>\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
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\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528csv.DictWriter<\/code>\u5bf9\u8c61\uff0c\u5e76\u6307\u5b9a\u5b57\u6bb5\u540dfieldnames<\/code>\uff0c\u7136\u540e\u5c06\u5b57\u5178\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
Pandas\u5e93<\/h3>\n<\/p>\n
1\u3001\u57fa\u672c\u7528\u6cd5<\/h4>\n<\/p>\n
pandas<\/code>\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u7279\u522b\u9002\u7528\u4e8e\u5904\u7406\u6570\u636e\u8868\u683c\u3002\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u5982\u4f55\u4f7f\u7528pandas<\/code>\u5e93\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\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
df = pd.DataFrame(data)<\/p>\n
df.to_csv('output.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u5b57\u5178data<\/code>\uff0c\u7136\u540e\u4f7f\u7528pandas.DataFrame<\/code>\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame<\/code>\u5bf9\u8c61\uff0c\u6700\u540e\u4f7f\u7528to_csv<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
2\u3001\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e<\/h4>\n<\/p>\n
pandas<\/code>\u5e93\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\u975e\u5e38\u9ad8\u6548\u3002\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u5982\u4f55\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u5e76\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
import numpy as np<\/p>\n
\u751f\u6210\u5927\u89c4\u6a21\u6570\u636e<\/strong><\/h2>\n
data = {<\/p>\n
    'ID': range(1, 1000001),<\/p>\n
    'Value': np.random.rand(1000000)<\/p>\n
}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
df.to_csv('large_output.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528numpy<\/code>\u5e93\u751f\u6210\u5927\u89c4\u6a21\u6570\u636e\uff0c\u5e76\u4f7f\u7528pandas<\/code>\u5e93\u5c06\u5176\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
Numpy\u5e93<\/h3>\n<\/p>\n
1\u3001\u57fa\u672c\u7528\u6cd5<\/h4>\n<\/p>\n
numpy<\/code>\u5e93\u4e3b\u8981\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\uff0c\u4f46\u4e5f\u53ef\u4ee5\u7528\u4e8e\u5904\u7406\u548c\u4fdd\u5b58CSV\u6587\u4ef6\u3002\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u5982\u4f55\u4f7f\u7528numpy<\/code>\u5e93\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import numpy as np<\/p>\n
data = np.array([<\/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
np.savetxt('output.csv', data, delimiter=',', fmt='%s')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2anumpy<\/code>\u6570\u7ec4data<\/code>\uff0c\u7136\u540e\u4f7f\u7528savetxt<\/code>\u65b9\u6cd5\u5c06\u5176\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
2\u3001\u5904\u7406\u6570\u503c\u6570\u636e<\/h4>\n<\/p>\n
numpy<\/code>\u5e93\u7279\u522b\u9002\u5408\u5904\u7406\u6570\u503c\u6570\u636e\u3002\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u5982\u4f55\u5904\u7406\u6570\u503c\u6570\u636e\u5e76\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import numpy as np<\/p>\n
data = np.random.rand(100, 3)<\/p>\n
np.savetxt('numeric_output.csv', data, delimiter=',')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528numpy<\/code>\u5e93\u751f\u6210\u968f\u673a\u6570\u503c\u6570\u636e\uff0c\u5e76\u5c06\u5176\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5<\/h3>\n<\/p>\n
\u6839\u636e\u6570\u636e\u7684\u590d\u6742\u6027\u548c\u89c4\u6a21\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u5c06Python\u6570\u636e\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002\u5bf9\u4e8e\u7b80\u5355\u7684CSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757<\/strong>\uff1b\u5bf9\u4e8e\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u548c\u5927\u89c4\u6a21\u6570\u636e\uff0c\u63a8\u8350\u4f7f\u7528pandas<\/code>\u5e93<\/strong>\uff1b\u5bf9\u4e8e\u6570\u503c\u8ba1\u7b97\uff0c\u53ef\u4ee5\u4f7f\u7528numpy<\/code>\u5e93<\/strong>\u3002<\/p>\n<\/p>\n
\u5904\u7406CSV\u6587\u4ef6\u7684\u5176\u4ed6\u6280\u5de7<\/h3>\n<\/p>\n
1\u3001\u8ffd\u52a0\u6570\u636e\u5230\u73b0\u6709CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u80fd\u9700\u8981\u5c06\u65b0\u6570\u636e\u8ffd\u52a0\u5230\u73b0\u6709\u7684CSV\u6587\u4ef6\u4e2d\u3002\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u5982\u4f55\u4f7f\u7528pandas<\/code>\u5e93\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u65b0\u6570\u636e<\/strong><\/h2>\n
new_data = {<\/p>\n
    'Name': ['David', 'Eva'],<\/p>\n
    'Age': [40, 28],<\/p>\n
    'City': ['Boston', 'San Francisco']<\/p>\n
}<\/p>\n
\u8bfb\u53d6\u73b0\u6709CSV\u6587\u4ef6<\/strong><\/h2>\n
df_existing = pd.read_csv('output.csv')<\/p>\n
\u5c06\u65b0\u6570\u636e\u8f6c\u6362\u4e3aDataFrame<\/strong><\/h2>\n
df_new = pd.DataFrame(new_data)<\/p>\n
\u5408\u5e76\u6570\u636e<\/strong><\/h2>\n
df_combined = pd.concat([df_existing, df_new], ignore_index=True)<\/p>\n
\u4fdd\u5b58\u5408\u5e76\u540e\u7684\u6570\u636e<\/strong><\/h2>\n
df_combined.to_csv('output.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6\u548c\u8fc7\u6ee4CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u6709\u65f6\u9700\u8981\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u5bf9\u6570\u636e\u8fdb\u884c\u8fc7\u6ee4\u548c\u5904\u7406\u3002\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u5982\u4f55\u4f7f\u7528pandas<\/code>\u5e93\u8bfb\u53d6\u548c\u8fc7\u6ee4CSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_csv('output.csv')<\/p>\n
\u8fc7\u6ee4\u6570\u636e<\/strong><\/h2>\n
filtered_df = df[df['Age'] > 30]<\/p>\n
\u4fdd\u5b58\u8fc7\u6ee4\u540e\u7684\u6570\u636e<\/strong><\/h2>\n
filtered_df.to_csv('filtered_output.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u603b\u7ed3<\/h3>\n<\/p>\n
\u5c06Python\u6570\u636e\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u662f\u6570\u636e\u5904\u7406\u4e2d\u7684\u5e38\u89c1\u4efb\u52a1<\/strong>\u3002\u53ef\u4ee5\u6839\u636e\u6570\u636e\u7684\u590d\u6742\u6027\u548c\u89c4\u6a21\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5<\/strong>\uff0c\u5305\u62ec\u4f7f\u7528csv<\/code>\u6a21\u5757\u3001pandas<\/code>\u5e93\u548cnumpy<\/code>\u5e93\u3002pandas<\/code>\u5e93\u529f\u80fd\u5f3a\u5927\uff0c\u9002\u5408\u5904\u7406\u590d\u6742\u548c\u5927\u89c4\u6a21\u6570\u636e\uff0c\u800ccsv<\/code>\u6a21\u5757\u5219\u9002\u5408\u5904\u7406\u7b80\u5355\u7684CSV\u6587\u4ef6\u3002\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u6570\u636e\u4ecePython\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff0c\u5e76\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5c06Python\u4e2d\u7684\u6570\u636e\u8f6c\u6362\u4e3aCSV\u683c\u5f0f\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u6216pandas<\/code>\u5e93\u6765\u5c06\u6570\u636e\u8f6c\u6362\u4e3aCSV\u683c\u5f0f\u3002\u5bf9\u4e8e\u7b80\u5355\u7684\u5217\u8868\u6216\u5b57\u5178\uff0ccsv<\/code>\u6a21\u5757\u975e\u5e38\u9002\u7528\uff1b\u800c\u5bf9\u4e8e\u66f4\u590d\u6742\u7684\u6570\u636e\u7ed3\u6784\uff0cpandas<\/code>\u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u529f\u80fd\u3002\u4f7f\u7528pandas<\/code>\u65f6\uff0c\u53ea\u9700\u5c06\u6570\u636e\u6846\uff08DataFrame\uff09\u5bfc\u51fa\u4e3aCSV\u6587\u4ef6\uff0c\u4ee3\u7801\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n
import pandas as pd\n\ndata = {'name': ['Alice', 'Bob'], 'age': [25, 30]}\ndf = pd.DataFrame(data)\ndf.to_csv('output.csv', index=False)\n<\/code><\/pre>\n
\u8f6c\u6362\u4e3aCSV\u65f6\uff0c\u5982\u4f55\u5904\u7406\u5305\u542b\u7279\u6b8a\u5b57\u7b26\u7684\u6570\u636e\uff1f<\/strong>
\u5728\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u65f6\uff0c\u7279\u6b8a\u5b57\u7b26\uff08\u5982\u9017\u53f7\u3001\u5f15\u53f7\u7b49\uff09\u53ef\u80fd\u4f1a\u5bfc\u81f4\u683c\u5f0f\u95ee\u9898\u3002\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6ecsv<\/code>\u6a21\u5757\u6216pandas<\/code>\u7684\u76f8\u5173\u53c2\u6570\u6765\u5904\u7406\u8fd9\u4e9b\u60c5\u51b5\u3002\u4f7f\u7528pandas<\/code>\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6equotechar<\/code>\u548cquoting<\/code>\u53c2\u6570\u6765\u5b9a\u4e49\u5982\u4f55\u5904\u7406\u7279\u6b8a\u5b57\u7b26\u3002\u4f8b\u5982\uff1a<\/p>\n
df.to_csv('output.csv', index=False, quoting=1)  # 1\u5bf9\u5e94csv.QUOTE_NONNUMERIC\n<\/code><\/pre>\n
\u662f\u5426\u53ef\u4ee5\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aPython\u6570\u636e\u7ed3\u6784\uff1f<\/strong>
\u786e\u5b9e\u53ef\u4ee5\uff0cPython\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u6570\u636e\u7ed3\u6784\u3002\u4f7f\u7528pandas<\/code>\u7684read_csv<\/code>\u51fd\u6570\u662f\u4e00\u4e2a\u65b9\u4fbf\u7684\u9009\u62e9\uff0c\u5b83\u53ef\u4ee5\u5c06CSV\u6587\u4ef6\u76f4\u63a5\u52a0\u8f7d\u4e3aDataFrame\uff0c\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n
df = pd.read_csv('input.csv')\n<\/code><\/pre>\n
\u4f7f\u7528csv<\/code>\u6a21\u5757\u4e5f\u53ef\u4ee5\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u6bcf\u4e00\u884c\u8f6c\u6362\u4e3a\u5b57\u5178\u6216\u5217\u8868\uff1a<\/p>\n
import csv\n\nwith open('input.csv', mode='r') as file:\n    reader = csv.reader(file)\n    for row in reader:\n        print(row)\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\u3002\u4e3b\u8981\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528csv\u6a21\u5757\u3001pandas\u5e93\u3001num […]","protected":false},"author":3,"featured_media":1163969,"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\/1163963"}],"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=1163963"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1163963\/revisions"}],"predecessor-version":[{"id":1163970,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1163963\/revisions\/1163970"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1163969"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1163963"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1163963"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1163963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}