numpy.random.power(a, size=None) Draws samples in [0, 1] from a power distribution with positive exponent a - 1. Also

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

MaskedArray.cumsum(axis=None, dtype=None, out=None)

numpy.random.standard_cauchy(size=None) Draw samples from a standard Cauchy distribution with mode = 0. Also

Hermite.cutdeg(deg)

chararray.imag The imaginary part of the array. Examples

ndindex.ndincr()

numpy.polynomial.laguerre.lagdiv(c1, c2)

numpy.result_type(*arrays_and_dtypes) Returns the type that results from applying the NumPy type promotion rules to the arguments

ndarray.ctypes An object to simplify the interaction of the array with the ctypes module. This attribute creates