将汇率 API JSON 转换为 Pandas 数据框

Question

我正在使用免费汇率 API 来获取货币汇率，我想将其转换为熊猫数据框并存储。

很简单的代码来获得它

import requests

url = 'https://api.exchangerate.host/latest?base=USD'
response = requests.get(url)
data = response.json()

print(data)

响应出来像

{ 
'success': True, 
'base': 'EUR', 
'date': '2023-02-17', 
'rates': 
{'AED': 3.907946, 'AFN': 94.663995, 'ALL': 115.358789...........etc}
}

我想将其转换为看起来像的熊猫数据框

   date    | base | currency | rate
------------------------------------------
2023-02-17 | EUR  |   AED    | 3.907946
2023-02-17 | EUR  |   AFN    | 94.663995
2023-02-17 | EUR  |   ALL    | 115.358789

只是可以弄清楚如何获得我想要的列和行。

为你的帮助干杯。

Answer 1

# Load the currecy, rate pairs into two colums
rates_df = pd.DataFrame(data['rates'].items(), columns=['currency','rate'])

# Add the constant date and base columns
rates_df['date'] = data['date']
rates_df['base'] = data['base']

# re-order the colmns
rates_df = rates_df[['date', 'base', 'currency', 'rate']]

rates_df