generic.__array_interface__ Array protocol: Python side

numpy.nan_to_num(x)

numpy.ma.zeros(shape, dtype=float, order='C') = Return a new array of given shape and type, filled with zeros.

numpy.ma.atleast_3d(*arys) = View inputs as arrays with at least three dimensions.

numpy.ma.compressed(x)

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

numpy.clip(a, a_min, a_max, out=None)

Simple random data

Polynomial.has_samecoef(other)

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