I don’t think it’s so black and white. Depends on what you’re doing. If you’re doing lots of cross dataset operations like econometric and physical system modeling polars can get a bit too verbose. Eg how would you do the following two pandas operations in polars?
You can always do df.to_pandas() ... prices.loc['2023-01'] *= 1 ... from_pandas() :)
More seriously, you are right, this is a tough one to do in polars. Polars seems to want to work with whole columns at a time, it doesn't give you write access to row sets.
