Le 09/03/2012 23:57, Ralf Gommers a écrit :
>
> The buildbot doesn't check the doc build. I've edited a few of the links.
Thanks for checking !
I had not realized that simply using the `numpy.package` notation was
enough to get a link to the package.
Best,
Pierre
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On Fri, Mar 9, 2012 at 3:57 PM, Ralf Gommers wrote:
>
>
> On Wed, Mar 7, 2012 at 11:02 PM, Pierre Haessig
> wrote:
>
>> Hi Charles,
>> Le 07/03/2012 18:00, Charles R Harris a écrit :
>> >
>> > That's a good idea, I'll take care of it. Note the caveat about the
>> > coefficients going in the oppos
On Wed, Mar 7, 2012 at 11:02 PM, Pierre Haessig wrote:
> Hi Charles,
> Le 07/03/2012 18:00, Charles R Harris a écrit :
> >
> > That's a good idea, I'll take care of it. Note the caveat about the
> > coefficients going in the opposite direction.
> Great ! In the mean time I changed a bit the root p
Hi Charles,
Le 07/03/2012 18:00, Charles R Harris a écrit :
>
> That's a good idea, I'll take care of it. Note the caveat about the
> coefficients going in the opposite direction.
Great ! In the mean time I changed a bit the root polynomials reference
to emphasize the new Polynomial class.
http://
On Wed, Mar 7, 2012 at 9:45 AM, Pierre Haessig wrote:
> Hi,
> Le 06/03/2012 22:19, Charles R Harris a écrit :
> > Use polynomial.Polynomial and you won't have this problem.
> I was not familiar with the "poly1d vs. Polynomial" choice.
>
> Now, I found in the doc some more or less explicit guidelin
Hi,
Le 06/03/2012 22:19, Charles R Harris a écrit :
> Use polynomial.Polynomial and you won't have this problem.
I was not familiar with the "poly1d vs. Polynomial" choice.
Now, I found in the doc some more or less explicit guidelines in:
http://docs.scipy.org/doc/numpy/reference/routines.polynomi
On Tue, Mar 6, 2012 at 2:03 PM, Denis Laxalde wrote:
> Hi,
>
>>>> np.__version__
>'1.7.0.dev-7c07089'
>>>> p = np.poly1d([1,1])
>>>> p + 1.0
>poly1d([ 1., 2.])
>>>> p + np.float64(1)
>poly1d([ 1., 2.])
>>>> np.float64(1.0) + p
>array([ 2., 2.])
>>>> np.in
Hi,
>>> np.__version__
'1.7.0.dev-7c07089'
>>> p = np.poly1d([1,1])
>>> p + 1.0
poly1d([ 1., 2.])
>>> p + np.float64(1)
poly1d([ 1., 2.])
>>> np.float64(1.0) + p
array([ 2., 2.])
>>> np.int64(1) + p
array([2, 2])
>>> np.int(1) + p
poly1d([1, 2
