broadcast.next x.next() -> the next value, or raise StopIteration

RandomState.laplace(loc=0.0, scale=1.0, size=None) Draw samples from the Laplace or double exponential distribution

numpy.ma.median(a, axis=None, out=None, overwrite_input=False)

numpy.polynomial.chebyshev.chebzero = array([0])

chararray.ravel([order]) Return a flattened array. Refer to

numpy.ma.asanyarray(a, dtype=None)

numpy.core.defchararray.islower(a)

numpy.radians(x[, out]) = Convert angles from degrees to radians.

Chebyshev.has_samecoef(other)

exception numpy.linalg.LinAlgError