TR.F.IncomeStatement

Hi forum,
I'm using the Refinitiv API for Python to retrieve ESG data and company fundamentals from Refinitiv. In order not to manually select all financials one by one I intended to use "TR.F.IncomeStatement", "TR.F.CashFlowStatement", and "TR.F.BalanceSheet" to retrieve relevant financials from the companies I have selected.
Unfortunately, when retrieving the data, the API does not display the financials as columns, but as rows. Furthermore, it labels each financial KPI not with the respective name (i.e. Revenue) but with the instrument name to which the financial KPI belongs (see screenshot).
I would be interested to modify the ek.get_data formula in a way that it displays the financial KPIs in columns, however, I could not find anything in the documentation.
For reference, the snippet in "parameters" is the part of the excel formula that the Eikon API provided in order to put the table in the desired dimension.
Best Answer
-
Hi @Mikee_R ,
I would advise using the updates library, RD. You can find more information about the difference between RD and EDAPI in our article here.
Using the RD lib., I managed to get date in another format. Is that what you were after?import refinitiv.data as rd
rd.open_session()
df1= rd.get_history(
universe=["AAPL.O", "MSFT.O"],
fields=["TR.F.IncomeStatement",
"TR.F.CashFlowStatement",
"TR.F.IncomeStatement(Scale=6)"],
# interval="1Y",
# start="2010-01-01",
# end="2023-07-01"
)
df1.
0
Answers
-
Hi @Mikee_R,
You can also still use `get_data` in RD:
df2 = rd.get_data(
["AAPL.O", "MSFT.O"],
fields=["TR.F.IncomeStatement",
"TR.F.IncomeStatement.date",
"TR.F.CashFlowStatement",
"TR.F.IncomeStatement(Scale=6)"])
df_dict = {}
for i in df2.Instrument.unique():
df_dict[i] = [df2[df2.Instrument == i]]
for i in df_dict:
display(i)
display(df_dict[i][0])You may be interested in using MultiIndex too.
0 -
Categories
- All Categories
- 3 Polls
- 6 AHS
- 36 Alpha
- 166 App Studio
- 6 Block Chain
- 4 Bot Platform
- 18 Connected Risk APIs
- 47 Data Fusion
- 34 Data Model Discovery
- 684 Datastream
- 1.4K DSS
- 615 Eikon COM
- 5.2K Eikon Data APIs
- 10 Electronic Trading
- Generic FIX
- 7 Local Bank Node API
- 3 Trading API
- 2.9K Elektron
- 1.4K EMA
- 249 ETA
- 554 WebSocket API
- 37 FX Venues
- 14 FX Market Data
- 1 FX Post Trade
- 1 FX Trading - Matching
- 12 FX Trading – RFQ Maker
- 5 Intelligent Tagging
- 2 Legal One
- 23 Messenger Bot
- 3 Messenger Side by Side
- 9 ONESOURCE
- 7 Indirect Tax
- 60 Open Calais
- 275 Open PermID
- 44 Entity Search
- 2 Org ID
- 1 PAM
- PAM - Logging
- 6 Product Insight
- Project Tracking
- ProView
- ProView Internal
- 22 RDMS
- 1.9K Refinitiv Data Platform
- 643 Refinitiv Data Platform Libraries
- 4 LSEG Due Diligence
- LSEG Due Diligence Portal API
- 4 Refinitiv Due Dilligence Centre
- Rose's Space
- 1.2K Screening
- 18 Qual-ID API
- 13 Screening Deployed
- 23 Screening Online
- 12 World-Check Customer Risk Screener
- 1K World-Check One
- 46 World-Check One Zero Footprint
- 45 Side by Side Integration API
- 2 Test Space
- 3 Thomson One Smart
- 10 TR Knowledge Graph
- 151 Transactions
- 143 REDI API
- 1.8K TREP APIs
- 4 CAT
- 26 DACS Station
- 121 Open DACS
- 1.1K RFA
- 104 UPA
- 192 TREP Infrastructure
- 228 TRKD
- 915 TRTH
- 5 Velocity Analytics
- 9 Wealth Management Web Services
- 90 Workspace SDK
- 11 Element Framework
- 5 Grid
- 18 World-Check Data File
- 1 Yield Book Analytics
- 46 中文论坛