用于生成 Python 代码的组件。
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安装
使用方法
import { PythonGenerator } from "@/components/pivot/python-generator";
<PythonGenerator />
示例
基本用法
<PythonGenerator />
API 参考
Props
属性 | 类型 | 默认值 | 描述 |
---|---|---|---|
className | string | - | 额外的 CSS 类名 |
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用户登录接口的 Python requests 代码生成
# Using requests library
import requests
def call_post():
url = "https://api.example.com/v1/auth/login"
headers = {
"Content-Type": "application/json"
}
response = requests.post(url, headers=headers)
return response.json()
包含多个查询参数的数据分析接口 Python 代码
# Using requests library
import requests
def call_get():
url = "https://api.example.com/v1/analytics/reports"
headers = {
"Content-Type": "application/json"
}
response = requests.get(url, headers=headers)
return response.json()
ML 模型预测接口的 Python 代码,包含复杂的特征数据
# Using requests library
import requests
def call_post():
url = "https://api.example.com/v1/ml/predict"
headers = {
"Content-Type": "application/json"
}
response = requests.post(url, headers=headers)
return response.json()
大数据批量处理接口的 Python 代码生成
# Using requests library
import requests
def call_post():
url = "https://api.example.com/v1/data/batch-process"
headers = {
"Content-Type": "application/json"
}
response = requests.post(url, headers=headers)
return response.json()
图像处理和变换接口的 Python 代码生成
# Using requests library
import requests
def call_post():
url = "https://api.example.com/v1/images/process"
headers = {
"Content-Type": "application/json"
}
response = requests.post(url, headers=headers)
return response.json()