numpy.multiply(x1, x2[, out]) = Multiply arguments element-wise.

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

MaskedArray.__rsub__(other)

numpy.polynomial.hermite_e.hermeder(c, m=1, scl=1, axis=0)

matrix.var(axis=None, dtype=None, out=None, ddof=0)

numpy.polynomial.hermite_e.hermedomain = array([-1, 1])

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

ndarray.__lshift__ x.__lshift__(y) <==> x<<y

ndarray.__hex__() <==> hex(x)

ndarray.squeeze(axis=None) Remove single-dimensional entries from the shape of a. Refer to