Hi,
Just ran into this:
np.__version__
'1.5.1'
np.empty((1,), dtype='h2') # works in 1.6.2 too
array([0], dtype=int16)
np.__version__
'1.7.0.dev-fd78546'
np.empty((1,), dtype='h2')
Traceback (most recent call last):
File stdin, line 1, in module
TypeError: data type h2 not understood
On Sun, Jun 3, 2012 at 3:28 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
Hi,
Just ran into this:
np.__version__
'1.5.1'
np.empty((1,), dtype='h2') # works in 1.6.2 too
array([0], dtype=int16)
np.__version__
'1.7.0.dev-fd78546'
np.empty((1,), dtype='h2')
Traceback (most recent
Hi All,
Numpy is approaching a time of transition. Ralf will be concentrating his
efforts on Scipy and I will be cutting back on my work on Numpy. The 1.7
release looks to be delayed and I suspect that the Continuum Analytics
folks will become increasingly dedicated to the big data push. We need
On Sun, Jun 3, 2012 at 6:43 PM, Charles R Harris
charlesr.har...@gmail.comwrote:
Hi All,
Numpy is approaching a time of transition. Ralf will be concentrating his
efforts on Scipy
I'll write a separate post on that asap.
and I will be cutting back on my work on Numpy.
I sincerely hope
Hi all,
You probably remember that I said that after numpy 1.7.0 was out I wanted
to step down as release manager for NumPy and focus more on SciPy. That was
4.5 months ago, and now that 1.7.0 keeps being postponed I'm actually
planning to not wait for it. I have found that it's not possible for
On Fri, Jun 1, 2012 at 10:56 AM, Chris Withers ch...@simplistix.co.ukwrote:
On 01/06/2012 16:39, Benjamin Root wrote:
import numpy
numpy.zeros(10)[-123]
Traceback (most recent call last):
File stdin, line 1, in module
IndexError: index out of
Hi All,
The issue tracking discussion seems to have died. Since github issues looks
to be a viable alternative at this point, I propose to turn it on for the
numpy repository and start directing people in that direction.
Thoughts?
Chuck
___
On Sun, Jun 3, 2012 at 4:49 PM, Nathaniel Smith n...@pobox.com wrote:
On Sun, Jun 3, 2012 at 3:28 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
Hi,
Just ran into this:
np.__version__
'1.5.1'
np.empty((1,), dtype='h2') # works in 1.6.2 too
array([0], dtype=int16)
Hi Wolfgang,
I think you are looking for reduceat( ), in particular add.reduceat()
-- srean
On Thu, May 31, 2012 at 12:36 AM, Wolfgang Kerzendorf
wkerzend...@gmail.com wrote:
Dear all,
I have an ndarray which consists of many arrays stacked behind each other
(only conceptually, in truth
On Sunday, June 3, 2012, Ralf Gommers wrote:
On Sun, Jun 3, 2012 at 4:49 PM, Nathaniel Smith
n...@pobox.comjavascript:_e({}, 'cvml', 'n...@pobox.com');
wrote:
On Sun, Jun 3, 2012 at 3:28 PM, Ralf Gommers
ralf.gomm...@googlemail.com javascript:_e({}, 'cvml',
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