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This repository was archived by the owner on Jul 24, 2026. It is now read-only.
Just like most functions in NumPy that act on a vector, it is desirable for the Nightingale deviation to be computed along a fiber of a multidimensional array (i.e. informally, a tensor). This can be accomplished by computing the function along an axis. Thus adding an axis parameter that is passed into subsequent functions is appropriate.
Just like most functions in NumPy that act on a vector, it is desirable for the Nightingale deviation to be computed along a fiber of a multidimensional array (i.e. informally, a tensor). This can be accomplished by computing the function along an axis. Thus adding an axis parameter that is passed into subsequent functions is appropriate.