Ralf Gommers wrote:
On Wed, Feb 23, 2022 at 10:11 PM Stephan Hoyer shoyer@gmail.com wrote:
On Tue, Feb 22, 2022 at 9:20 PM Ralf Gommers ralf.gommers@gmail.com wrote: If we were to keep them in SciPy, they might belong in scipy.optimize next to check_grad and approx_frime. But I don't think these functions (as written) are very useful. They have obvious computational inefficiencies and very limited functionality. I would rather point users to a fully functioning library for finite-differences like findiff: https://github.com/maroba/findiff Thanks Stephan! I didn't hear about findiff before. Would you recommend it over https://github.com/pbrod/numdifftools? I haven't used either of them, it just came up in a search for finite differences in Python. Okay, thanks Stephan. Both look good, so unless someone has practical experience and can make a recommendation for why one of these is preferred, we should probably list both in the deprecation notice. Cheers, Ralf
Hi all, I just came across the deprecation warning for the derivative function in scipy.misc. In my code, I need to be able to get the derivative of a complex mathematical function around a certain point. For me, scipy.misc.derivative does the job perfectly. I tried to switch to both findiff or numdifftoold, but neither of them work as scipy.misc.derivative. They either require the mathematical function to be pre-evaluated into an array, or for the mathematical function to be real. What I am going to do for my project will be to copy the scipy code and store it locally. However, I would gladly reimport it from scipy if this function remains available in the library. Thank you, Mauro