Lookup

morningstar_data.direct.get_data_point_settings(

data_point_ids: List[str],

) → DataFrame

Returns a DataFrame of settings for a given set of data points. This settings DataFrame can then be manipulated to reflect the specific settings to be used for data retrieval.

Parameters:

data_point_ids (list) – A list of unique identifiers for data points. The format is an array of data point id. Example: [“OS01W”, “HP010”]

Returns:

A DataFrame object with data point settings data. The DataFrame columns include:

• datapointId

• datapointName

• displayName

• currency

• preEuroConversion

• sourceId

• frequency

• startDate

• endDate

• floatStart

• floatEnd

• startDelay

• endDelay

• diffStart

• diffEnd

• compounding

• calculationId

• annualized

• annualDays

• benchmark

• riskfree

• windowType

• windowSize

• stepSize

• requireContinueData

• fit

• scalType

• scalValue

• scalPercentValue

• timehorizon

Return type:

DataFrame

Examples

Get data point setting for data point id “OS01W”.

import morningstar_data as md

df = md.direct.get_data_point_settings(data_point_ids=["OS01W"])
df

Output:

datapointId	datapointName	…	calcMnav	showType	transType
OS01W	Name	…	None	None	None