RandomState.logseries(p, size=None) Draw samples from a logarithmic series distribution. Samples are

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

matrix.I Returns the (multiplicative) inverse of invertible self.

ndarray.__ge__ x.__ge__(y) <==> x>=y

numpy.s_ = A nicer way to build up index tuples for arrays. Note

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

numpy.polynomial.legendre.legmul(c1, c2)

numpy.nanmean(a, axis=None, dtype=None, out=None, keepdims=False)

MaskedArray.toflex()

recarray.choose(choices, out=None, mode='raise') Use an index array to construct a new array from a set of choices.