Feb-05-2022, 01:02 AM
Hi,
I'm working with a bunch of economic indicators (~50) using a couple of APIs and am trying to figure out the best way to compile them as variables and call them across various Jupyter notebook files from one spot, instead of having to repeat all of the code every time I need to access the data. I'm using Pandas to display the data as variables and then combining them into various charts. I'm hoping there's an efficient way to manage all of the variables in one file – either a notebook or CSV.
Here's an example of one of my variables:
I'm working with a bunch of economic indicators (~50) using a couple of APIs and am trying to figure out the best way to compile them as variables and call them across various Jupyter notebook files from one spot, instead of having to repeat all of the code every time I need to access the data. I'm using Pandas to display the data as variables and then combining them into various charts. I'm hoping there's an efficient way to manage all of the variables in one file – either a notebook or CSV.
Here's an example of one of my variables:
employment = pd.DataFrame(quandl.get("FRED/PAYEMS", start_date = "1939-01-01", end_date = "2022-12-31"))Thanks!