numpy.trim_zeros(filt, trim='fb')

Polynomials in NumPy can be created, manipulated, and even fitted using the

Arrayterator.shape The shape of the array to be iterated over. For an example, see

numpy.polynomial.legendre.legline(off, scl)

Polynomial.degree()

dtype.hasobject Boolean indicating whether this dtype contains any reference-counted objects in any fields or sub-dtypes

chararray.swapaxes(axis1, axis2) Return a view of the array with axis1 and axis2

numpy.ma.size(obj, axis=None)

ndarray.__getitem__ x.__getitem__(y) <==> x[y]

Polynomial.roots()