numpy.ma.getdata(a, subok=True)

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

RandomState.randint(low, high=None, size=None, dtype='l') Return random integers from low (inclusive)

RandomState.standard_normal(size=None) Draw samples from a standard Normal distribution (mean=0, stdev=1)

numpy.polynomial.hermite.hermpow(c, pow, maxpower=16)

numpy.polynomial.chebyshev.chebvander3d(x, y, z, deg)

numpy.linalg.det(a)

numpy.ma.masked_greater_equal(x, value, copy=True)

Order statistics

numpy.log2(x[, out]) = Base-2 logarithm of x.