Im hitting a free exchange rate API to get currency exchange rates which I want to convert into a pandas data frame and store.
Nice simple code to get it
import requests
url = 'https://api.exchangerate.host/latest?base=USD'
response = requests.get(url)
data = response.json()
print(data)
The response comes out like
{
'success': True,
'base': 'EUR',
'date': '2023-02-17',
'rates':
{'AED': 3.907946, 'AFN': 94.663995, 'ALL': 115.358789...........etc}
}
I want to convert this to a pandas data frame that looks like
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
Just can figure out how to get the columns and rows like I want.
Cheers for your help.
>Solution :
# 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