Numeric

The numeric module provides methods that are lacking from the numpy module.

nutils.numeric.overlapping(arr, axis=-1, n=2)

reinterpret data with overlaps

nutils.numeric.normdim(ndim, n)

check bounds and make positive

nutils.numeric.get(arr, axis, item)

take single item from array axis

nutils.numeric.contract(A, B, axis=-1)

nutils.numeric.dot(A, B, axis=-1)

Transform axis of A by contraction with first axis of B and inserting remaining axes. Note: with default axis=-1 this leads to multiplication of vectors and matrices following linear algebra conventions.

nutils.numeric.meshgrid(*args)

multi-dimensional meshgrid generalisation

nutils.numeric.normalize(A, axis=-1)

devide by normal

nutils.numeric.diagonalize(arg, axis=-1, newaxis=-1)

insert newaxis, place axis on diagonal of axis and newaxis

nutils.numeric.eig(A)

If A has repeated eigenvalues, numpy.linalg.eig sometimes fails to produce the complete eigenbasis. This function aims to fix that by identifying the problem and completing the basis where necessary.

nutils.numeric.ix(args)

version of numpy.ix_() that allows for scalars

nutils.numeric.ext(A)

Exterior For array of shape (n,n-1) return n-vector ex such that ex.array = 0 and det(arr;ex) = ex.ex