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 Wed, Mar 7, 2012 at 11:02 PM, Pierre Haessig pierre.haes...@crans.orgwrote:
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
On Fri, Mar 9, 2012 at 3:57 PM, Ralf Gommers ralf.gomm...@googlemail.comwrote:
On Wed, Mar 7, 2012 at 11:02 PM, Pierre Haessig
pierre.haes...@crans.orgwrote:
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
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:
On Wed, Mar 7, 2012 at 9:45 AM, Pierre Haessig pierre.haes...@crans.orgwrote:
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
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.
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])
On Tue, Mar 6, 2012 at 2:03 PM, Denis Laxalde denis.laxa...@mcgill.cawrote:
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)