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

  • type

  • universe

  • isTsdp

  • isFilterable

  • isEpdp

  • isCustomCalc

  • isPortfolioCalc

  • canBeAddedToDataset

  • mstarIpType

  • nonstandardDisplayType

  • hasOptions

  • requireValueSearch

  • displayName

  • scale

  • reverseSign

  • decimalPlaces

  • currency

  • preEuroConversion

  • displayOptions

  • 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

  • align

  • width

  • cellType

  • sortLocal

  • displayType

  • percentileRank

  • hide

  • custom

  • fixFormat

  • customType

  • generalFrequency

  • calcCurType

  • calcSdType

  • calcUse5Days

  • calcS1

  • calcS2

  • calcCfgDataSource

  • calcBestReturnNum

  • calcWorstReturnNum

  • calcRollingTimePeriod

  • calcReinvestDateType

  • calcReinvestSource

  • calcAdditionalSource

  • calcIsApplyIsraelsenModification

  • calcDaysOfAnnuYear

  • calcMnav

  • showType

  • transType

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