Hello, Apologies if either (a) this is the wrong place to post this or (b) this functionality already exists and I didn't manage to find it.
I have found myself many times in the past wishing that some sort of N-D Gaussian function exists in NumPy. For example, when I wish to test that some plot or data analysis method is working correctly, being able to call `np.gauss()` on a (M,N) array of coordinates or passing it the arrays generated by a meshgrid, along with tuples for sigma and mu, would be very convienient. I could write such a function myself, but that would not be convenient to reuse (copying the function to every program/project I want to use it in), and many other mathematical functions have "convenience" functions in NumPy (such as the square root). More importantly, I imagine that any such function that was written into NumPy by the people who regularly contribute to the project would be far better than one I wrote myself, as I am not tremendously good at programming. Regards, Tom _______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
