matrix.swapaxes(axis1, axis2) Return a view of the array with axis1 and axis2 interchanged.

numpy.ma.mean(self, axis=None, dtype=None, out=None) = Returns the average of the array elements. Masked entries are ignored

numpy.tril_indices(n, k=0, m=None)

RandomState.poisson(lam=1.0, size=None) Draw samples from a Poisson distribution. The Poisson distribution

numpy.split(ary, indices_or_sections, axis=0)

numpy.around(a, decimals=0, out=None)

class numpy.vectorize(pyfunc, otypes='', doc=None, excluded=None, cache=False)

matrix.min(axis=None, out=None)

numpy.arccos(x[, out]) = Trigonometric inverse cosine, element-wise. The inverse of

numpy.absolute(x[, out]) = Calculate the absolute value element-wise.