Dear Numpy Users,
I am trying to find out a way by which I can easily generate the n-th
order "special" polynomial, where "special" could refer to Hermite,
Chebyshev etc. Numpy 1.7 introduces several methods for such
polynomials, but I couldn't find a convenience function that gives me
a polynomial directly based on degree. For instance, I'd like:
hermite(3) to result in array([ 0., -12., 0., 8.])
hermite(6) to result in array([-120., 0., 720., 0., -480., 0., 64.])
and so on.
The quickest way I could come up with for this is:
def hermite(n):
if n <= 0:
return numpy.array([1.0])
coeff_polynomial = [0.0] * n
coeff_polynomial.extend([1])
return numpy.polynomial.hermite.herm2poly(coeff_polynomial)
Now, if I am missing something, please let me know. If you think this
is a useful feature, I volunteer to patch all the polynomial modules
to generate such polynomials, if you could tell me appropriate
function names for such convenience functions.
Thanks!
Kumar
--
Kumar Appaiah
_______________________________________________
NumPy-Discussion mailing list
[email protected]
http://mail.scipy.org/mailman/listinfo/numpy-discussion
