numpy.mat(data, dtype=None)

Arrayterator.flat A 1-D flat iterator for Arrayterator objects. This iterator returns elements of the array

numpy.linalg.tensorinv(a, ind=2)

numpy.matlib.repmat(a, m, n)

numpy.ma.std(self, axis=None, dtype=None, out=None, ddof=0) = Compute the standard deviation along the specified axis. Returns

numpy.random.pareto(a, size=None) Draw samples from a Pareto II or Lomax distribution with specified shape. The

numpy.polynomial.laguerre.lagroots(c)

chararray.flags Information about the memory layout of the array. Notes

RandomState.beta(a, b, size=None) Draw samples from a Beta distribution. The Beta distribution is a special

numpy.random.triangular(left, mode, right, size=None) Draw samples from the triangular distribution. The triangular