For np.gradient(), one can specify a sample distance for each axis to apply to the gradient. But, all this does is just divides the gradient by the sample distance. I could easily do that myself with the output from gradient. Wouldn't it be more valuable to be able to specify the width of the central difference (or is there another function that does that)?
Thanks, Ben Root
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