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

ndarray.prod(axis=None, dtype=None, out=None, keepdims=False) Return the product of the array elements over the given axis

recarray.round(decimals=0, out=None) Return a with each element rounded to the given number of decimals.

numpy.random.standard_t(df, size=None) Draw samples from a standard Student?s t distribution with df degrees

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

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

numpy.negative(x[, out]) = Numerical negative, element-wise.

ndarray.reshape(shape, order='C') Returns an array containing the same data with a new shape. Refer to

matrix.H Returns the (complex) conjugate transpose of self. Equivalent to np.transpose(self)

dtype.itemsize The element size of this data-type object. For 18 of the 21 types this number is fixed by the data-type