numpy.log(x[, out]) = Natural logarithm, element-wise. The natural logarithm

matrix.shape Tuple of array dimensions. Notes May be used to ?reshape? the array, as long

classmethod Hermite.identity(domain=None, window=None)

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

RandomState.gumbel(loc=0.0, scale=1.0, size=None) Draw samples from a Gumbel distribution. Draw samples

matrix.tofile(fid, sep="", format="%s") Write array to a file as text or binary (default). Data is always written

generic.clip() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses

numpy.clip(a, a_min, a_max, out=None)

generic.__array_priority__ Array priority.

numpy.polynomial.polynomial.polysub(c1, c2)