{"id":1090029,"date":"2025-01-08T13:59:01","date_gmt":"2025-01-08T05:59:01","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1090029.html"},"modified":"2025-01-08T13:59:07","modified_gmt":"2025-01-08T05:59:07","slug":"python%e6%9c%89%e5%92%8c%e6%97%a0%e5%a6%82%e4%bd%95%e6%8d%a2%e6%88%90%e6%95%b0%e5%ad%97-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1090029.html","title":{"rendered":"Python\u6709\u548c\u65e0\u5982\u4f55\u6362\u6210\u6570\u5b57"},"content":{"rendered":"

\"Python\u6709\u548c\u65e0\u5982\u4f55\u6362\u6210\u6570\u5b57\"<\/p>\n

Python\u4e2d\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528int()\u51fd\u6570\u3001\u4f7f\u7528\u7b97\u672f\u8fd0\u7b97\u7b26\u3001\u4f7f\u7528\u7c7b\u578b\u8f6c\u6362\u51fd\u6570\u3002<\/strong> <\/p>\n<\/p>\n

\u5e03\u5c14\u503c\u5728Python\u4e2d\u662f\u4e00\u79cd\u7279\u6b8a\u7684\u6574\u6570\u7c7b\u578b\uff0cTrue\u548cFalse\u5206\u522b\u5bf9\u5e941\u548c0\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684int()\u51fd\u6570\u76f4\u63a5\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\u3002\u6bd4\u5982int(True)\u4f1a\u8fd4\u56de1\uff0cint(False)\u4f1a\u8fd4\u56de0\u3002\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u901a\u8fc7\u52a0\u51cf\u6cd5\u7b49\u7b97\u672f\u8fd0\u7b97\u7b26\u6765\u5b9e\u73b0\u8fd9\u79cd\u8f6c\u6362\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u8be6\u7ec6\u63a2\u8ba8\u8fd9\u4e9b\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528int()\u51fd\u6570<\/h3>\n<\/p>\n

Python\u63d0\u4f9b\u4e86\u4e00\u4e2a\u975e\u5e38\u7b80\u5355\u7684\u65b9\u6cd5\u6765\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u90a3\u5c31\u662f\u4f7f\u7528\u5185\u7f6e\u7684int()\u51fd\u6570\u3002\u8fd9\u4e2a\u51fd\u6570\u53ef\u4ee5\u76f4\u63a5\u5c06\u5e03\u5c14\u503cTrue\u8f6c\u6362\u4e3a1\uff0c\u5c06\u5e03\u5c14\u503cFalse\u8f6c\u6362\u4e3a0\u3002<\/p>\n<\/p>\n

\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n

print(int(True))  # \u8f93\u51fa 1<\/p>\n
print(int(False)) # \u8f93\u51fa 0<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u975e\u5e38\u76f4\u89c2\uff0c\u800c\u4e14\u4ee3\u7801\u7b80\u6d01\u660e\u4e86\u3002\u4f7f\u7528int()\u51fd\u6570\u662f\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\u7684\u6700\u4f73\u5b9e\u8df5\u4e4b\u4e00\uff0c\u56e0\u4e3a\u5b83\u4e0d\u9700\u8981\u989d\u5916\u7684\u590d\u6742\u64cd\u4f5c\uff0c\u4e5f\u4e0d\u5bb9\u6613\u51fa\u9519\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528\u7b97\u672f\u8fd0\u7b97\u7b26<\/h3>\n<\/p>\n
\u9664\u4e86\u4f7f\u7528int()\u51fd\u6570\uff0cPython\u8fd8\u5141\u8bb8\u4f7f\u7528\u7b97\u672f\u8fd0\u7b97\u7b26\u6765\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\u3002\u7531\u4e8e\u5e03\u5c14\u503c\u5728Python\u4e2d\u5b9e\u9645\u4e0a\u662f\u6574\u6570\u7c7b\u578b\uff0cTrue\u53ef\u4ee5\u76f4\u63a5\u53c2\u4e0e\u6570\u5b66\u8fd0\u7b97\u5e76\u8868\u73b0\u4e3a1\uff0cFalse\u8868\u73b0\u4e3a0\u3002<\/p>\n<\/p>\n
\u4f7f\u7528\u52a0\u6cd5\uff1a<\/h4>\n<\/p>\n
print(True + 0)  # \u8f93\u51fa 1<\/p>\n
print(False + 0) # \u8f93\u51fa 0<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528\u4e58\u6cd5\uff1a<\/h4>\n<\/p>\n
print(True * 1)  # \u8f93\u51fa 1<\/p>\n
print(False * 1) # \u8f93\u51fa 0<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u867d\u7136\u6709\u6548\uff0c\u4f46\u53ef\u80fd\u4e0d\u5982\u76f4\u63a5\u4f7f\u7528int()\u51fd\u6570\u90a3\u6837\u76f4\u89c2\u3002\u6b64\u5916\uff0c\u4f7f\u7528\u7b97\u672f\u8fd0\u7b97\u7b26\u6709\u65f6\u53ef\u80fd\u4f1a\u589e\u52a0\u4ee3\u7801\u7684\u590d\u6742\u6027\uff0c\u7279\u522b\u662f\u5728\u66f4\u590d\u6742\u7684\u8868\u8fbe\u5f0f\u4e2d\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528\u7c7b\u578b\u8f6c\u6362\u51fd\u6570<\/h3>\n<\/p>\n
Python\u4e2d\u7684\u7c7b\u578b\u8f6c\u6362\u51fd\u6570\u4e0d\u4ec5\u9650\u4e8eint()\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528\u5176\u4ed6\u76f8\u5173\u7684\u51fd\u6570\u3002\u867d\u7136\u5728\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\u65f6\uff0cint()\u662f\u6700\u5e38\u7528\u7684\uff0c\u4f46\u4e86\u89e3\u5176\u4ed6\u7c7b\u578b\u8f6c\u6362\u51fd\u6570\u4e5f\u662f\u6709\u7528\u7684\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
print(float(True))  # \u8f93\u51fa 1.0<\/p>\n
print(float(False)) # \u8f93\u51fa 0.0<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570\u800c\u4e0d\u662f\u6574\u6570\u53ef\u80fd\u66f4\u7b26\u5408\u5b9e\u9645\u9700\u6c42\u3002\u4f8b\u5982\uff0c\u5728\u4e00\u4e9b\u9700\u8981\u8fdb\u884c\u6d6e\u70b9\u8fd0\u7b97\u7684\u79d1\u5b66\u8ba1\u7b97\u4e2d\u3002<\/p>\n<\/p>\n
\u56db\u3001\u7ed3\u5408\u6761\u4ef6\u5224\u65ad<\/h3>\n<\/p>\n
\u5728\u67d0\u4e9b\u590d\u6742\u7684\u5e94\u7528\u573a\u666f\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u7ed3\u5408\u6761\u4ef6\u5224\u65ad\u6765\u5904\u7406\u5e03\u5c14\u503c\u7684\u8f6c\u6362\u3002\u901a\u8fc7\u6761\u4ef6\u5224\u65ad\uff0c\u6211\u4eec\u53ef\u4ee5\u7075\u6d3b\u5730\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u4e0d\u540c\u7684\u6570\u5b57\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
def bool_to_num(value):<\/p>\n
    if value:<\/p>\n
        return 1<\/p>\n
    else:<\/p>\n
        return 0<\/p>\n
print(bool_to_num(True))  # \u8f93\u51fa 1<\/p>\n
print(bool_to_num(False)) # \u8f93\u51fa 0<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u867d\u7136\u4ee3\u7801\u8f83\u957f\uff0c\u4f46\u5728\u9700\u8981\u6839\u636e\u7279\u5b9a\u6761\u4ef6\u8fdb\u884c\u8f6c\u6362\u65f6\u975e\u5e38\u6709\u7528\u3002\u5b83\u4e0d\u4ec5\u53ef\u4ee5\u5904\u7406\u5e03\u5c14\u503c\uff0c\u8fd8\u53ef\u4ee5\u5904\u7406\u5176\u4ed6\u9700\u8981\u8f6c\u6362\u7684\u7c7b\u578b\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u5728\u5217\u8868\u548c\u6570\u7ec4\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u7ecf\u5e38\u9700\u8981\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u5728\u5217\u8868\u548c\u6570\u7ec4\u4e2d\u8fdb\u884c\u8ba1\u7b97\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5217\u8868\u548c\u6570\u7ec4\u4e2d\u5e94\u7528\u8fd9\u4e9b\u8f6c\u6362\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
bool_list = [True, False, True, False]<\/p>\n
num_list = [int(b) for b in bool_list]<\/p>\n
print(num_list)  # \u8f93\u51fa [1, 0, 1, 0]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u5229\u7528\u4e86\u5217\u8868\u63a8\u5bfc\u5f0f\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u5e03\u5c14\u503c\u5217\u8868\u8f6c\u6362\u4e3a\u6570\u5b57\u5217\u8868\u3002\u8fd9\u6837\u53ef\u4ee5\u5728\u540e\u7eed\u7684\u8ba1\u7b97\u4e2d\u76f4\u63a5\u4f7f\u7528\u8fd9\u4e9b\u6570\u5b57\u3002<\/p>\n<\/p>\n
\u516d\u3001\u5728\u6570\u636e\u5206\u6790\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n
\u5728\u6570\u636e\u5206\u6790\u4e2d\uff0c\u5e03\u5c14\u503c\u4e0e\u6570\u5b57\u7684\u8f6c\u6362\u4e5f\u975e\u5e38\u5e38\u89c1\u3002\u4f8b\u5982\uff0c\u5728Pandas\u6570\u636e\u6846\u4e2d\uff0c\u6211\u4eec\u7ecf\u5e38\u9700\u8981\u5c06\u5e03\u5c14\u503c\u5217\u8f6c\u6362\u4e3a\u6570\u5b57\u5217\uff0c\u4ee5\u4fbf\u8fdb\u884c\u7edf\u8ba1\u548c\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
import pandas as pd<\/p>\n
data = {'BoolColumn': [True, False, True, True]}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
df['NumColumn'] = df['BoolColumn'].astype(int)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u5229\u7528\u4e86Pandas\u7684astype()\u51fd\u6570\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u6570\u636e\u6846\u4e2d\u7684\u5e03\u5c14\u503c\u5217\u8f6c\u6362\u4e3a\u6570\u5b57\u5217\u3002\u8fd9\u6837\u53ef\u4ee5\u66f4\u597d\u5730\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u5728\u673a\u5668\u5b66\u4e60<\/a>\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n
\u5728\u673a\u5668\u5b66\u4e60\u4e2d\uff0c\u5e03\u5c14\u503c\u4e0e\u6570\u5b57\u7684\u8f6c\u6362\u540c\u6837\u975e\u5e38\u91cd\u8981\u3002\u4f8b\u5982\uff0c\u5728\u7279\u5f81\u5de5\u7a0b\u4e2d\uff0c\u6211\u4eec\u7ecf\u5e38\u9700\u8981\u5c06\u5e03\u5c14\u7279\u5f81\u8f6c\u6362\u4e3a\u6570\u503c\u7279\u5f81\uff0c\u4ee5\u4fbf\u8f93\u5165\u5230\u6a21\u578b\u4e2d\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
from sklearn.preprocessing import LabelEncoder<\/p>\n
bool_list = [True, False, True, False]<\/p>\n
le = LabelEncoder()<\/p>\n
num_list = le.fit_transform(bool_list)<\/p>\n
print(num_list)  # \u8f93\u51fa [1 0 1 0]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u5229\u7528\u4e86Scikit-Learn\u4e2d\u7684LabelEncoder\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u5e03\u5c14\u503c\u5217\u8868\u8f6c\u6362\u4e3a\u6570\u5b57\u5217\u8868\uff0c\u4ee5\u4fbf\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u8bad\u7ec3\u3002<\/p>\n<\/p>\n
\u516b\u3001\u5728\u7f51\u7edc\u7f16\u7a0b\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n
\u5728\u7f51\u7edc\u7f16\u7a0b\u4e2d\uff0c\u5e03\u5c14\u503c\u4e0e\u6570\u5b57\u7684\u8f6c\u6362\u4e5f\u5f88\u5e38\u89c1\u3002\u4f8b\u5982\uff0c\u5728\u5904\u7406\u7f51\u7edc\u8bf7\u6c42\u7684\u54cd\u5e94\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
import requests<\/p>\n
response = requests.get('https:\/\/api.example.com\/data')<\/p>\n
data = response.json()<\/p>\n
bool_value = data['is_active']<\/p>\n
num_value = int(bool_value)<\/p>\n
print(num_value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u5229\u7528\u4e86requests\u5e93\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u4ece\u7f51\u7edc\u8bf7\u6c42\u7684\u54cd\u5e94\u4e2d\u63d0\u53d6\u5e03\u5c14\u503c\u5e76\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5904\u7406\u3002<\/p>\n<\/p>\n
\u4e5d\u3001\u5728\u6570\u636e\u5e93\u64cd\u4f5c\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n
\u5728\u6570\u636e\u5e93\u64cd\u4f5c\u4e2d\uff0c\u6211\u4eec\u7ecf\u5e38\u9700\u8981\u5c06\u5e03\u5c14\u503c\u4e0e\u6570\u5b57\u8fdb\u884c\u8f6c\u6362\u3002\u4f8b\u5982\uff0c\u5728\u5c06\u6570\u636e\u63d2\u5165\u6570\u636e\u5e93\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u5b58\u50a8\u5728\u6574\u6570\u7c7b\u578b\u7684\u5b57\u6bb5\u4e2d\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
import sqlite3<\/p>\n
conn = sqlite3.connect('example.db')<\/p>\n
c = conn.cursor()<\/p>\n
c.execute('CREATE TABLE IF NOT EXISTS data (is_active INTEGER)')<\/p>\n
c.execute('INSERT INTO data (is_active) VALUES (?)', (int(True),))<\/p>\n
conn.commit()<\/p>\n
c.execute('SELECT * FROM data')<\/p>\n
print(c.fetchall())  # \u8f93\u51fa [(1,)]<\/p>\n
conn.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u5229\u7528\u4e86SQLite\u6570\u636e\u5e93\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\u5e76\u5b58\u50a8\u5728\u6570\u636e\u5e93\u4e2d\uff0c\u4ee5\u4fbf\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u67e5\u8be2\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n
\u5341\u3001\u5728Web\u5f00\u53d1\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n
\u5728Web\u5f00\u53d1\u4e2d\uff0c\u5e03\u5c14\u503c\u4e0e\u6570\u5b57\u7684\u8f6c\u6362\u4e5f\u975e\u5e38\u5e38\u89c1\u3002\u4f8b\u5982\uff0c\u5728\u5904\u7406\u7528\u6237\u8f93\u5165\u7684\u6570\u636e\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5904\u7406\u548c\u5b58\u50a8\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
from flask import Flask, request, jsonify<\/p>\n
app = Flask(__name__)<\/p>\n
@app.route('\/submit', methods=['POST'])<\/p>\n
def submit():<\/p>\n
    data = request.json<\/p>\n
    bool_value = data['is_active']<\/p>\n
    num_value = int(bool_value)<\/p>\n
    return jsonify({'num_value': num_value})<\/p>\n
if __name__ == '__mAI<\/a>n__':<\/p>\n
    app.run()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u5229\u7528\u4e86Flask\u6846\u67b6\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u4ece\u7528\u6237\u63d0\u4ea4\u7684\u6570\u636e\u4e2d\u63d0\u53d6\u5e03\u5c14\u503c\u5e76\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5904\u7406\u548c\u54cd\u5e94\u3002<\/p>\n<\/p>\n
\u5341\u4e00\u3001\u5728\u81ea\u52a8\u5316\u6d4b\u8bd5\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n
\u5728\u81ea\u52a8\u5316\u6d4b\u8bd5\u4e2d\uff0c\u5e03\u5c14\u503c\u4e0e\u6570\u5b57\u7684\u8f6c\u6362\u540c\u6837\u975e\u5e38\u91cd\u8981\u3002\u4f8b\u5982\uff0c\u5728\u7f16\u5199\u6d4b\u8bd5\u7528\u4f8b\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u65ad\u8a00\u548c\u9a8c\u8bc1\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
import unittest<\/p>\n
class TestBoolToInt(unittest.TestCase):<\/p>\n
    def test_bool_to_int(self):<\/p>\n
        self.assertEqual(int(True), 1)<\/p>\n
        self.assertEqual(int(False), 0)<\/p>\n
if __name__ == '__main__':<\/p>\n
    unittest.main()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u5229\u7528\u4e86unittest\u6846\u67b6\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u7f16\u5199\u6d4b\u8bd5\u7528\u4f8b\uff0c\u5e76\u901a\u8fc7\u65ad\u8a00\u6765\u9a8c\u8bc1\u5e03\u5c14\u503c\u4e0e\u6570\u5b57\u7684\u8f6c\u6362\u662f\u5426\u6b63\u786e\u3002<\/p>\n<\/p>\n
\u5341\u4e8c\u3001\u5728\u56fe\u50cf\u5904\u7406\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n
\u5728\u56fe\u50cf\u5904\u7406\u9886\u57df\uff0c\u5e03\u5c14\u503c\u4e0e\u6570\u5b57\u7684\u8f6c\u6362\u4e5f\u975e\u5e38\u5e38\u89c1\u3002\u4f8b\u5982\uff0c\u5728\u56fe\u50cf\u7684\u4e8c\u503c\u5316\u5904\u7406\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u56fe\u50cf\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
import cv2<\/p>\n
import numpy as np<\/p>\n
image = cv2.imread('example.jpg', cv2.IMREAD_GRAYSCALE)<\/p>\n
_, binary_image = cv2.threshold(image, 127, 255, cv2.THRESH_BINARY)<\/p>\n
bool_image = binary_image > 0<\/p>\n
num_image = bool_image.astype(int)<\/p>\n
print(num_image)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u5229\u7528\u4e86OpenCV\u5e93\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u56fe\u50cf\u8fdb\u884c\u4e8c\u503c\u5316\u5904\u7406\uff0c\u5e76\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u56fe\u50cf\u5206\u6790\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n
\u5341\u4e09\u3001\u5728\u6e38\u620f\u5f00\u53d1\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n
\u5728\u6e38\u620f\u5f00\u53d1\u4e2d\uff0c\u5e03\u5c14\u503c\u4e0e\u6570\u5b57\u7684\u8f6c\u6362\u4e5f\u975e\u5e38\u91cd\u8981\u3002\u4f8b\u5982\uff0c\u5728\u5904\u7406\u6e38\u620f\u903b\u8f91\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u72b6\u6001\u7684\u5224\u65ad\u548c\u5207\u6362\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
class Game:<\/p>\n
    def __init__(self):<\/p>\n
        self.is_running = True<\/p>\n
    def update(self):<\/p>\n
        if int(self.is_running):<\/p>\n
            print("Game is running")<\/p>\n
        else:<\/p>\n
            print("Game is stopped")<\/p>\n
game = Game()<\/p>\n
game.update()  # \u8f93\u51fa "Game is running"<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u5229\u7528\u4e86\u9762\u5411\u5bf9\u8c61\u7f16\u7a0b\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5728\u6e38\u620f\u903b\u8f91\u4e2d\u5904\u7406\u5e03\u5c14\u503c\u4e0e\u6570\u5b57\u7684\u8f6c\u6362\uff0c\u4ee5\u4fbf\u8fdb\u884c\u72b6\u6001\u7684\u5224\u65ad\u548c\u5207\u6362\u3002<\/p>\n<\/p>\n
\u5341\u56db\u3001\u5728\u6570\u636e\u53ef\u89c6\u5316\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n
\u5728\u6570\u636e\u53ef\u89c6\u5316\u4e2d\uff0c\u5e03\u5c14\u503c\u4e0e\u6570\u5b57\u7684\u8f6c\u6362\u4e5f\u975e\u5e38\u5e38\u89c1\u3002\u4f8b\u5982\uff0c\u5728\u7ed8\u5236\u56fe\u8868\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u6570\u636e\u7684\u5c55\u793a\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
bool_list = [True, False, True, False]<\/p>\n
num_list = [int(b) for b in bool_list]<\/p>\n
plt.plot(num_list)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u5229\u7528\u4e86Matplotlib\u5e93\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u5e76\u7ed8\u5236\u6210\u56fe\u8868\uff0c\u4ee5\u4fbf\u8fdb\u884c\u6570\u636e\u7684\u5c55\u793a\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
\u5341\u4e94\u3001\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n
\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u4e2d\uff0c\u5e03\u5c14\u503c\u4e0e\u6570\u5b57\u7684\u8f6c\u6362\u540c\u6837\u975e\u5e38\u91cd\u8981\u3002\u4f8b\u5982\uff0c\u5728\u6587\u672c\u5206\u7c7b\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c06\u5e03\u5c14\u7279\u5f81\u8f6c\u6362\u4e3a\u6570\u503c\u7279\u5f81\uff0c\u4ee5\u4fbf\u8f93\u5165\u5230\u6a21\u578b\u4e2d\u8fdb\u884c\u8bad\u7ec3\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
from sklearn.feature_extraction.text import CountVectorizer<\/p>\n
texts = ["I love Python", "Python is awesome"]<\/p>\n
vectorizer = CountVectorizer(binary=True)<\/p>\n
X = vectorizer.fit_transform(texts)<\/p>\n
num_array = X.toarray()<\/p>\n
print(num_array)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u5229\u7528\u4e86Scikit-Learn\u4e2d\u7684CountVectorizer\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u6587\u672c\u8f6c\u6362\u4e3a\u5e03\u5c14\u7279\u5f81\uff0c\u5e76\u8fdb\u4e00\u6b65\u8f6c\u6362\u4e3a\u6570\u503c\u7279\u5f81\uff0c\u4ee5\u4fbf\u7528\u4e8e\u6587\u672c\u5206\u7c7b\u6a21\u578b\u7684\u8bad\u7ec3\u3002<\/p>\n<\/p>\n
\u5341\u516d\u3001\u5728\u79d1\u5b66\u8ba1\u7b97\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n
\u5728\u79d1\u5b66\u8ba1\u7b97\u4e2d\uff0c\u5e03\u5c14\u503c\u4e0e\u6570\u5b57\u7684\u8f6c\u6362\u4e5f\u975e\u5e38\u5e38\u89c1\u3002\u4f8b\u5982\uff0c\u5728\u5904\u7406\u79d1\u5b66\u6570\u636e\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u8ba1\u7b97\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
import numpy as np<\/p>\n
data = np.array([True, False, True, False])<\/p>\n
num_data = data.astype(int)<\/p>\n
print(num_data)  # \u8f93\u51fa [1 0 1 0]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u5229\u7528\u4e86NumPy\u5e93\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
\u5341\u4e03\u3001\u5728\u91d1\u878d\u5206\u6790\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n
\u5728\u91d1\u878d\u5206\u6790\u4e2d\uff0c\u5e03\u5c14\u503c\u4e0e\u6570\u5b57\u7684\u8f6c\u6362\u540c\u6837\u975e\u5e38\u91cd\u8981\u3002\u4f8b\u5982\uff0c\u5728\u5904\u7406\u91d1\u878d\u6570\u636e\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u7edf\u8ba1\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
import pandas as pd<\/p>\n
data = {'IsProfitable': [True, False, True, True]}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
df['ProfitFlag'] = df['IsProfitable'].astype(int)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u5229\u7528\u4e86Pandas\u5e93\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u91d1\u878d\u6570\u636e\u4e2d\u7684\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u7edf\u8ba1\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
\u5341\u516b\u3001\u5728\u5d4c\u5165\u5f0f\u7cfb\u7edf\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n
\u5728\u5d4c\u5165\u5f0f\u7cfb\u7edf\u4e2d\uff0c\u5e03\u5c14\u503c\u4e0e\u6570\u5b57\u7684\u8f6c\u6362\u4e5f\u975e\u5e38\u5e38\u89c1\u3002\u4f8b\u5982\uff0c\u5728\u5904\u7406\u4f20\u611f\u5668\u6570\u636e\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5904\u7406\u548c\u63a7\u5236\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
sensor_data = [True, False, True, False]<\/p>\n
num_data = [int(data) for data in sensor_data]<\/p>\n
print(num_data)  # \u8f93\u51fa [1, 0, 1, 0]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u4f20\u611f\u5668\u6570\u636e\u4e2d\u7684\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5904\u7406\u548c\u63a7\u5236\u3002<\/p>\n<\/p>\n
\u5341\u4e5d\u3001\u5728\u7269\u8054\u7f51\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n
\u5728\u7269\u8054\u7f51\uff08IoT\uff09\u4e2d\uff0c\u5e03\u5c14\u503c\u4e0e\u6570\u5b57\u7684\u8f6c\u6362\u540c\u6837\u975e\u5e38\u91cd\u8981\u3002\u4f8b\u5982\uff0c\u5728\u5904\u7406\u8bbe\u5907\u72b6\u6001\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u72b6\u6001\u7684\u76d1\u63a7\u548c\u7ba1\u7406\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
device_status = {'Device1': True, 'Device2': False}<\/p>\n
num_status = {device: int(status) for device, status in device_status.items()}<\/p>\n
print(num_status)  # \u8f93\u51fa {'Device1': 1, 'Device2': 0}<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u8bbe\u5907\u72b6\u6001\u4e2d\u7684\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ee5\u4fbf\u8fdb\u884c\u72b6\u6001\u7684\u76d1\u63a7\u548c\u7ba1\u7406\u3002<\/p>\n<\/p>\n
\u4e8c\u5341\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u793a\u4f8b\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0cPython\u4e2d\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\u7684\u65b9\u6cd5\u975e\u5e38\u591a\u6837\u5316\uff0c\u5305\u62ec\u4f7f\u7528int()\u51fd\u6570\u3001\u4f7f\u7528\u7b97\u672f\u8fd0\u7b97\u7b26\u3001\u4f7f\u7528\u7c7b\u578b\u8f6c\u6362\u51fd\u6570\u3001\u7ed3\u5408\u6761\u4ef6\u5224\u65ad\u3001\u5728\u5217\u8868\u548c\u6570\u7ec4\u4e2d\u7684\u5e94\u7528\u3001\u5728\u6570\u636e\u5206\u6790\u4e2d\u7684\u5e94\u7528\u3001\u5728\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u5e94\u7528\u3001\u5728\u7f51\u7edc\u7f16\u7a0b\u4e2d\u7684\u5e94\u7528\u3001\u5728\u6570\u636e\u5e93\u64cd\u4f5c\u4e2d\u7684\u5e94\u7528\u3001\u5728Web\u5f00\u53d1\u4e2d\u7684\u5e94\u7528\u3001\u5728\u81ea\u52a8\u5316\u6d4b\u8bd5\u4e2d\u7684\u5e94\u7528\u3001\u5728\u56fe\u50cf\u5904\u7406\u4e2d\u7684\u5e94\u7528\u3001\u5728\u6e38\u620f\u5f00\u53d1\u4e2d\u7684\u5e94\u7528\u3001\u5728\u6570\u636e\u53ef\u89c6\u5316\u4e2d\u7684\u5e94\u7528\u3001\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e2d\u7684\u5e94\u7528\u3001\u5728\u79d1\u5b66\u8ba1\u7b97\u4e2d\u7684\u5e94\u7528\u3001\u5728\u91d1\u878d\u5206\u6790\u4e2d\u7684\u5e94\u7528\u3001\u5728\u5d4c\u5165\u5f0f\u7cfb\u7edf\u4e2d\u7684\u5e94\u7528\u3001\u5728\u7269\u8054\u7f51\u4e2d\u7684\u5e94\u7528\u3002<\/strong><\/p>\n<\/p>\n
\u8fd9\u4e9b\u65b9\u6cd5\u5728\u4e0d\u540c\u7684\u5e94\u7528\u573a\u666f\u4e2d\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u52bf\u548c\u9002\u7528\u6027\u3002\u56e0\u6b64\uff0c\u5728\u5b9e\u9645\u5f00\u53d1\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u7684\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u4ece\u800c\u66f4\u597d\u5730\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5c06Python\u4e2d\u7684\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u5e03\u5c14\u503cTrue<\/code>\u548cFalse<\/code>\u53ef\u4ee5\u76f4\u63a5\u8f6c\u6362\u4e3a\u6570\u5b57\u3002True<\/code>\u88ab\u8f6c\u6362\u4e3a1\uff0c\u800cFalse<\/code>\u5219\u88ab\u8f6c\u6362\u4e3a0\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528int()<\/code>\u51fd\u6570\u8fdb\u884c\u8fd9\u79cd\u8f6c\u6362\uff0c\u4f8b\u5982\uff1a  <\/p>\n
a = True\nb = False\nprint(int(a))  # \u8f93\u51fa 1\nprint(int(b))  # \u8f93\u51fa 0\n<\/code><\/pre>\n
\u5728Python\u4e2d\uff0c\u5982\u4f55\u5904\u7406\u5b57\u7b26\u4e32\u201c\u6709\u201d\u548c\u201c\u65e0\u201d\u4ee5\u8f6c\u6362\u4e3a\u6570\u5b57\uff1f<\/strong>
\u5982\u679c\u60a8\u5e0c\u671b\u5c06\u5b57\u7b26\u4e32\u201c\u6709\u201d\u8f6c\u6362\u4e3a1\uff0c\u5b57\u7b26\u4e32\u201c\u65e0\u201d\u8f6c\u6362\u4e3a0\uff0c\u53ef\u4ee5\u4f7f\u7528\u6761\u4ef6\u5224\u65ad\u6216\u5b57\u5178\u6620\u5c04\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a  <\/p>\n
status = "\u6709"\nnumber = 1 if status == "\u6709" else 0\nprint(number)  # \u8f93\u51fa 1\n<\/code><\/pre>\n
\u6216\u8005\u4f7f\u7528\u5b57\u5178\u6620\u5c04\uff1a  <\/p>\n
status_dict = {"\u6709": 1, "\u65e0": 0}\nnumber = status_dict.get(status, -1)  # \u5982\u679c\u72b6\u6001\u4e0d\u5728\u5b57\u5178\u4e2d\uff0c\u8fd4\u56de-1\nprint(number)\n<\/code><\/pre>\n
\u5728\u6570\u636e\u5206\u6790\u4e2d\uff0c\u5982\u4f55\u6709\u6548\u5730\u5c06\u5206\u7c7b\u6570\u636e\uff08\u5982\u201c\u6709\u201d\u548c\u201c\u65e0\u201d\uff09\u8f6c\u6362\u4e3a\u6570\u503c\uff1f<\/strong>
\u5728\u6570\u636e\u5206\u6790\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u7684map()<\/code>\u51fd\u6570\u6216replace()<\/code>\u65b9\u6cd5\u5c06\u5206\u7c7b\u6570\u636e\u8f6c\u6362\u4e3a\u6570\u503c\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528pandas<\/code>\u7684\u793a\u4f8b\uff1a  <\/p>\n
import pandas as pd\n\ndata = pd.DataFrame({'status': ['\u6709', '\u65e0', '\u6709', '\u65e0']})\ndata['numeric'] = data['status'].map({'\u6709': 1, '\u65e0': 0})\nprint(data)\n<\/code><\/pre>\n
\u8fd9\u79cd\u65b9\u6cd5\u7b80\u6d01\u9ad8\u6548\uff0c\u9002\u5408\u5904\u7406\u5927\u91cf\u6570\u636e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u4e2d\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528int()\u51fd\u6570\u3001\u4f7f\u7528\u7b97\u672f\u8fd0\u7b97\u7b26\u3001\u4f7f\u7528\u7c7b\u578b\u8f6c\u6362\u51fd\u6570\u3002 \u5e03\u5c14\u503c\u5728P […]","protected":false},"author":3,"featured_media":1090042,"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\/1090029"}],"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=1090029"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1090029\/revisions"}],"predecessor-version":[{"id":1090044,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1090029\/revisions\/1090044"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1090042"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1090029"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1090029"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1090029"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}