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We have at least a few examples where we use pd.read_csv and grab some files using a url where we could use pandas-datareader instead -- For example, there is OECD health data in the cleaning notebook.
My inclination is to move of the data reading as possible to pandas-datareader because it is less likely to stay down than relying on a specific url.
Thoughts? I'm excited about some of their new additions!
The text was updated successfully, but these errors were encountered:
I think we should move as many things to "official" sources like APIs (or at least sources we don't have to manage ourselves) as we can, conditional on not giving up opportunities to teach how the arguments of read_csvwork
We have at least a few examples where we use
pd.read_csv
and grab some files using a url where we could usepandas-datareader
instead -- For example, there is OECD health data in the cleaning notebook.My inclination is to move of the data reading as possible to
pandas-datareader
because it is less likely to stay down than relying on a specific url.Thoughts? I'm excited about some of their new additions!
The text was updated successfully, but these errors were encountered: