On Thu, Apr 1, 2010 at 6:42 PM, David Goldsmith <d.l.goldsm...@gmail.com>wrote:
> >>> np.version.version
> '1.4.0'
> >>> c = np.polynomial.chebyshev.Chebyshev(1)
> >>> c.deriv(1.0)
> Chebyshev([ 0.], [-1., 1.])
> >>> c.integ(1.0)
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "<string>", line 441, in integ
> File "C:\Python26\lib\site-packages\numpy\polynomial\chebyshev.py", line
> 739,
> in chebint
> k = list(k) + [0]*(m - len(k))
> TypeError: can't multiply sequence by non-int of type 'float'
> >>> c.integ(1)
> Chebyshev([ 0., 1.], [-1., 1.])
>
> i.e., deriv accepts int_like input but integ doesn't.
>
> Given the way I just embarrassed myself on the scipy-dev list :-(, I'm
> confirming this is a bug before I file a ticket.
>
Also:
>>> c.deriv(0)
Chebyshev([ 1.], [-1., 1.])
>>> c.integ(0)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<string>", line 441, in integ
File "C:\Python26\lib\site-packages\numpy\polynomial\chebyshev.py", line
729,
in chebint
raise ValueError, "The order of integration must be positive"
ValueError: The order of integration must be positive
i.e., deriv supports zero-order differentiation, but integ doesn't support
zero-order integration (though I acknowledge that this may be a feature, not
a bug).
--
Mathematician: noun, someone who disavows certainty when their uncertainty
set is non-empty, even if that set has measure zero.
_______________________________________________
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
