Changing Date Format when requesting RDMS API in text/csv response?
Hi,
We are retrieving curve data from RDMS Rest API (v1/v1/CurveValuesBatch resource).
When requesting a text/csv return, the date format (Forecast Date, ValueDate) is in American format:
Is there a way to request another date format directly from the API with a csv response? (for e.g: DD.MM.YYYY 00:00:00)
Thanks a lot,
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Answers
-
Hi @lmorel
Based on the API documentation at https://<your-instance>.rdms.refinitiv.com/api/swagger/index.html (more detail can be found at
), I cannot find any function to do so.Hoever, the code below can be used to convert datetime format
import pandas as pd
import io import requests
import json
url = "https://demo.rdms.refinitiv.com/api/v1/CurveValuesBatch"
payload = json.dumps({
"scenarioID": 0,
"minForecastDate": "2022-04-10T01:09:38.985Z",
"maxForecastDate": "2025-04-18T01:09:38.985Z",
"resultTimezone": "UTC",
"sortForecastsDateDescending": True,
"sortValuesDateDescending": True,
"curveRequests": [
{
"curveID": "100659"
},
{
"curveID": "136552"
}
]
})
headers = {
'Authorization': 'apikey-v1 <your API key>',
'Content-Type': 'application/json',
'Accept': 'text/csv'
}
response = requests.request("POST", url, headers=headers, data=payload)
data = response.text
buffer = io.StringIO(data)
df = pd.read_csv(filepath_or_buffer = buffer) df['ForecastDate'] = pd.to_datetime(df['ForecastDate'], format='%m/%d/%Y %H:%M:%S %p +00:00')
df['ValueDate'] = pd.to_datetime(df['ValueDate'], format='%m/%d/%Y %H:%M:%S %p +00:00')
df0
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