numpy.polynomial.polynomial.polyx = array([0, 1])

numpy.seterrobj(errobj) Set the object that defines floating-point error handling. The error object contains all information

chararray.shape Tuple of array dimensions. Notes May be used to ?reshape

numpy.frexp(x[, out1, out2]) = Decompose the elements of x into mantissa and twos exponent. Returns (mantissa

numpy.rint(x[, out]) = Round elements of the array to the nearest integer.

numpy.ma.std(self, axis=None, dtype=None, out=None, ddof=0) = Compute the standard deviation along the specified axis. Returns

Polynomial.has_samecoef(other)

numpy.polynomial.legendre.legval2d(x, y, c)

numpy.polynomial.chebyshev.chebone = array([1])

numpy.log2(x[, out]) = Base-2 logarithm of x.