numpy.c_ = Translates slice objects to concatenation along the second axis. This is short-hand for np.r_['-1,2,0', index
numpy.put(a, ind, v, mode='raise')
numpy.diag_indices(n, ndim=2)
numpy.r_ = Translates slice objects to concatenation along the first axis. This is a simple way to build up arrays quickly. There
numpy.triu_indices(n, k=0, m=None)
numpy.choose(a, choices, out=None, mode='raise')
numpy.unravel_index(indices, dims, order='C') Converts a flat index or array of flat indices into a tuple of coordinate
numpy.diag_indices_from(arr)
numpy.triu_indices_from(arr, k=0)
numpy.mask_indices(n, mask_func, k=0)
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