通过沙盒运行JS或Python代码
价格：0.005 PTC / 次
测试代码：
import requests
import os
import json
import base64
import pandas as pd
import math
import numpy as np
# requests示例
response = requests.get('https://bilibili.com')
data = response.text
print("Requests响应:", data)
# json示例
json_str = '{"name": "John", "age": 30}'
json_data = json.loads(json_str)
json_output = json.dumps(json_data, indent=2)
print("JSON数据:", json_output)
# base64示例
text = "Hello World"
encoded = base64.b64encode(text.encode()).decode()
decoded = base64.b64decode(encoded).decode()
print("Base64编码:", encoded)
print("Base64解码:", decoded)
# pandas示例
df = pd.DataFrame({
'A': [1, 2, 3],
'B': ['a', 'b', 'c']
})
print("\nPandas DataFrame:")
print(df)
# math示例
sqrt_result = math.sqrt(16)
pi_value = math.pi
sin_value = math.sin(math.pi/2)
print("\n数学计算结果:")
print(f"sqrt(16) = {sqrt_result}")
print(f"π = {pi_value}")
print(f"sin(π/2) = {sin_value}")
# numpy示例
arr = np.array([1, 2, 3, 4, 5])
arr_sum = np.sum(arr)
arr_mean = np.mean(arr)
arr_std = np.std(arr)
print("\nNumpy数组操作:")
print(f"数组: {arr}")
print(f"数组求和: {arr_sum}")
print(f"数组平均值: {arr_mean}")
print(f"数组标准差: {arr_std}")
