at_leastnd would be useful for nd image processing in a very analogous way to how at_least2d is used by scikit-image, assuming it prepends. The at_least3d choice is baffling, seems analogous to the 0.5-based indexing presented at PyCon, and should be "fun" to deprecate. =P
On 6 July 2016 at 2:57:57 PM, Eric Firing (efir...@hawaii.edu) wrote: On 2016/07/06 8:25 AM, Benjamin Root wrote: > I wouldn't have the keyword be "where", as that collides with the notion > of "where" elsewhere in numpy. Agreed. Maybe "side"? (I find atleast_1d and atleast_2d to be very helpful for handling inputs, as Ben noted; I'm skeptical as to the value of atleast_3d and atleast_nd.) Eric _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
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