Hello, - my first reaction would be that the less argument names we change at a time the better, so that we don't confuse people or cause codes written with previous NumPy versions to break. Personally I always think of "ortho" as "orthonormal", which immediately brings "unit norm" to mind, but I have no problem whatsoever with changing its name to "unitary" or maybe "unit", which I'd probably choose if we were writing the routines from scratch.
- In terms of the "inverse" name option, I do believe that it'd be a confusing choice since "inverse" is used to describe the inverse FFT; if we choose to stick with a name that's based on the fact that this scaling is opposite to the "norm=None" option, then I'd suggest "norm=opposite" as a better choice. However, following Ross' comment, I think we could choose a name based on the fact that the forward transform is now scaled by `n`, instead of the backward one as in the default "norm=None". In this case, I'd suggest "norm=forward", which we can also nicely abbreviate to the 4-character form "norm=forw" if desirable. Chris Feng Yu wrote > Hi, > > 1. The wikipedia pages of CFT and DFT refer to norm='ortho' as 'unitary'. > Since we are in general working with complex numbers, I do suggest unitary > over ortho. > (https://en.wikipedia.org/wiki/Fourier_transform#Other_conventions) and ( > https://en.wikipedia.org/wiki/Discrete_Fourier_transform#The_unitary_DFT) > > 2. I share Chris's concern about 'inverse', but I could not come up with a > nice name. > > 3. Now that we are at this, should we also describe the corresponding > continuum limit of FFT and iFFT in the documentation? > > A paragraph doing so could potentially also help people diagnose some of > the normalization factor errors. I assumed it is common that one needs to > translate a CFT into DFT when coding a paper up, and the correct > compensation to the normalization factors will surface if one does the > math. -- I had the impression 1 / N corresponds to 1 / 2pi if the variable > is angular frequency, but it's been a while since I did that last time. > > - Yu > > NumPy-Discussion mailing list > NumPy-Discussion@ > https://mail.python.org/mailman/listinfo/numpy-discussion -- Sent from: http://numpy-discussion.10968.n7.nabble.com/ _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion