如何将Inrinio api响应转换为dataframe？

import requests
import pandas as pd

# Inrinio API的访问令牌
api_token = 'your_api_token_here'

# Inrinio API的端点URL
url = 'https://api.intrinio.com/data/quote/AAPL'

# 设置请求头
headers = {
    'Authorization': f'Token {api_token}',
    'Content-Type': 'application/json'
}

# 发送GET请求获取数据
response = requests.get(url, headers=headers)

# 检查响应状态码
if response.status_code == 200:
    # 将JSON响应转换为Python字典
    data = response.json()
    
    # 提取需要的数据部分
    # 假设API返回的数据结构如下：
    # {
    #     "data": [
    #         {"date": "2023-04-01", "close": 150.75},
    #         {"date": "2023-04-02", "close": 152.30},
    #         ...
    #     ]
    # }
    records = data.get('data', [])
    
    # 将数据转换为DataFrame
    df = pd.DataFrame(records)
    
    # 查看DataFrame
    print(df)
else:
    print(f'Failed to fetch data: {response.status_code}')