It recently came up on GitHub (at part of the discussion in https://github.com/numpy/numpy/issues/12379) that numpy.linspace could, at least in principle, be modified to support array inputs:
It looks like this has been requested on StackOverflow, too: https://stackoverflow.com/questions/46694167/vectorized-numpy-linspace-across-multi-dimensional-arrays My tentative proposal: - "start" and "stop" are broadcast against each other to form start/stop arrays. (Or we could require that start/stop have matching shape.) - A new dimension of size "num" is inserted into the result, either along the first or last axis. - A new keyword argument "axis" could control where the axis is inserted in the result. - Vectorization support should be added in the same way to geomspace and logspace. Does this seem like a good idea? It's a relatively simple generalization, and one that I, at least, would find useful (I can think of a use-case in my own code that came up just last week). I doubt I'll have time to implement this myself in the near future, but I thought I would get the discussion going -- this might be a good project for a new contributor to work on. Cheers, Stephan
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