nditer.remove_multi_index() When the ?multi_index? flag was specified, this removes it, allowing the internal

numpy.random.exponential(scale=1.0, size=None) Draw samples from an exponential distribution. Its probability

numpy.vsplit(ary, indices_or_sections)

recarray.sort(axis=-1, kind='quicksort', order=None) Sort an array, in-place.

numpy.polynomial.laguerre.lagmul(c1, c2)

numpy.polynomial.laguerre.poly2lag(pol)

recarray.clip(min=None, max=None, out=None) Return an array whose values are limited to [min, max]. One of max

numpy.polynomial.chebyshev.chebx = array([0, 1])

recarray.transpose(*axes) Returns a view of the array with axes transposed. For a 1-D array, this has no effect

numpy.ma.prod(self, axis=None, dtype=None, out=None) = Return the product of the array elements over the given axis. Masked elements