RandomState.beta(a, b, size=None) Draw samples from a Beta distribution. The Beta distribution is a special

recarray.base Base object if memory is from some other object. Examples The base of an

recarray.std(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the standard deviation of the array elements

recarray.cumprod(axis=None, dtype=None, out=None) Return the cumulative product of the elements along the given axis.

numpy.ma.prod(self, axis=None, dtype=None, out=None) = Return the product of the array elements over the given axis. Masked elements

chararray.islower()

matrix.itemset(*args) Insert scalar into an array (scalar is cast to array?s dtype, if possible) There must be at

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

record.conj()

MaskedArray.__setslice__(i, j, value)