Failure on non-numeric (object dtpye) user-provided data difficult to understand about cvxportfolio HOT 6 CLOSED

Could there be a simple minimal manual data test like this included in the examples and some insight into the failure?

from cvxportfolio.

Please refrain from posting unless you found a bug in Cvxportfolio.Thanks.

from cvxportfolio.

I believe this is a bug though? It's the simplest possible test I could come up with.

from cvxportfolio.

This should fix your "dummy" code

returns = returns.astype(float)
volume = volume.astype(float)
prices = prices.astype(float)

But what's the point? The default examples use Yahoo Finance (which vendors ICE data) and they all work. I'm happy to review PRs of data interfaces to other data vendors, so that the user gets the same experience. The only reason I'm not doing it myself is that I don't think it's needed. And, for user-provided data, the old examples (e.g., the one on data provision , should get you started.

from cvxportfolio.

Apologies, I wrongly assumed it was a more subtle issue.
Thanks.

from cvxportfolio.

Amend DataEstimator and UserProvidedMarketData, if dtypes not numeric coerce to float, if failure throw ValueError. Otherwise exception is thrown deep in the data checks and failure is difficult to understand.

from cvxportfolio.