numpy.fft.ihfft(a, n=None, axis=-1, norm=None)

numpy.diff(a, n=1, axis=-1)

Laguerre.integ(m=1, k=[], lbnd=None)

numpy.matlib.empty(shape, dtype=None, order='C')

ndarray.diagonal(offset=0, axis1=0, axis2=1) Return specified diagonals. In NumPy 1.9 the returned array is a read-only

chararray.fill(value) Fill the array with a scalar value.

numpy.polynomial.polynomial.polygrid3d(x, y, z, c)

MaskedArray.__rrshift__ x.__rrshift__(y) <==> y>>x

numpy.ogrid = nd_grid instance which returns an open multi-dimensional ?meshgrid?. An instance of numpy

ndarray.nbytes Total bytes consumed by the elements of the array. Notes Does not include