Fetching weekly economic indicators¶
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import refinitiv.data as rd
rd.open_session()
/home/runner/.local/share/virtualenvs/refinitiv-data-python-cookbook-I-HIyNf4/lib/python3.10/site-packages/refinitiv/data/_access_layer/session.py:71:FutureWarning:
You open a platform session using the default value of the signon_control parameter (signon_control=True).
In future library version v2.0, this default will be changed to False.
If you want to keep the same behavior as today, you will need to set the signon_control parameter to True either in the library configuration file
({'sessions':{'platform':{'your_session_name':{'signon_control':true}}}}) or in your code where you create the Platform Session.
These alternative options are already supported in the current version of the library.
<refinitiv.data.session.Definition object at 0x7f9cb49e0fd0 {name='rdp'}>
You can use the Refinitiv Data Library for Python to retrieve weekly economic indicators by passing the relevent Refinitiv Instrument Code to the get_history
function with the interval
parameter set to "weekly"
.
Here’s how to retrieve the number of new jobless claims in the US, a weekly indicator released by the US Department of Labor:
rd.get_history(
"USJOB=ECI",
interval="weekly",
)
USJOB=ECI | VALUE |
---|---|
Date | |
2023-12-09 | 205000 |
2023-12-16 | 207000 |
2023-12-23 | 213000 |
2023-12-30 | 198000 |
2024-01-06 | 198000 |
2024-01-13 | 194000 |
2024-01-20 | 221000 |
2024-01-27 | 225000 |
2024-02-03 | 213000 |
2024-02-10 | 211000 |
2024-02-17 | 200000 |
2024-02-24 | 213000 |
2024-03-02 | 210000 |
2024-03-09 | 212000 |
2024-03-16 | 212000 |
2024-03-23 | 212000 |
2024-03-30 | 222000 |
2024-04-06 | 212000 |
2024-04-13 | 212000 |
2024-04-20 | 207000 |
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rd.close_session()