On Mon, Dec 14, 2009 at 22:30, Dr. Phillip M. Feldman
wrote:
>
> When I issue the command
>
> np.lookfor('bessel')
>
> I get the following:
>
> Search results for 'bessel'
> ---
> numpy.i0
> Modified Bessel function of the first kind, order 0.
> numpy.kaiser
> Return
When I issue the command
np.lookfor('bessel')
I get the following:
Search results for 'bessel'
---
numpy.i0
Modified Bessel function of the first kind, order 0.
numpy.kaiser
Return the Kaiser window.
numpy.random.vonmises
Draw samples from a von Mises distrib
On Dec 14, 2009, at 4:28 PM, Thomas Robitaille wrote:
> Pierre GM-2 wrote:
>>
>> Well, that's a problem indeed, and I'd put that as a bug.
>> However, you can use that syntax instead:
> t.fill_value['a']=10
>> or set all the fields at once:
> t.fill_value=(10,99)
>>
>
> Thanks for yo
Pierre GM-2 wrote:
>
> Well, that's a problem indeed, and I'd put that as a bug.
> However, you can use that syntax instead:
t.fill_value['a']=10
> or set all the fields at once:
t.fill_value=(10,99)
>
Thanks for your reply - should I submit a bug report on the numpy trac site?
T
On Mon, Dec 14, 2009 at 10:27 AM, Jasper van de Gronde <
th.v.d.gro...@hccnet.nl> wrote:
> Bruce Southey wrote:
> >> So far this is the fastest code I've got:
> >>
> >> import numpy as np
> >>
> >> nmax = 100
> >>
> >> def mi
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On Mon, Dec 14, 2009 at 12:51 PM, Francesc Alted wrote:
> A Monday 14 December 2009 18:20:32 Jasper van de Gronde escrigué:
>> Francesc Alted wrote:
>> > A Monday 14 December 2009 17:09:13 Francesc Alted escrigué:
>> >> The things seems to be worst than 1.6x times slower for numpy, as matlab
>> >>
A Monday 14 December 2009 18:20:32 Jasper van de Gronde escrigué:
> Francesc Alted wrote:
> > A Monday 14 December 2009 17:09:13 Francesc Alted escrigué:
> >> The things seems to be worst than 1.6x times slower for numpy, as matlab
> >> orders arrays by column, while numpy order is by row. So, if
Bruce Southey wrote:
>> So far this is the fastest code I've got:
>>
>> import numpy as np
>>
>> nmax = 100
>>
>> def minover(Xi,S):
>> P,N = Xi.shape
>> SXi = Xi.copy()
>> for i in xrange(0,P):
>>
Francesc Alted wrote:
> A Monday 14 December 2009 17:09:13 Francesc Alted escrigué:
>> The things seems to be worst than 1.6x times slower for numpy, as matlab
>> orders arrays by column, while numpy order is by row. So, if we want to
>> compare pears with pears:
>>
>> For Python 600x200:
>>Ad
A Monday 14 December 2009 17:09:13 Francesc Alted escrigué:
> The things seems to be worst than 1.6x times slower for numpy, as matlab
> orders arrays by column, while numpy order is by row. So, if we want to
> compare pears with pears:
>
> For Python 600x200:
>Add a row: 0.113243 (1.132425e-
A Saturday 12 December 2009 12:59:16 Jasper van de Gronde escrigué:
> Francesc Alted wrote:
> > ...
> > Yeah, I think taking slices here is taking quite a lot of time:
> >
> > In [58]: timeit E + Xi2[P/2,:]
> > 10 loops, best of 3: 3.95 µs per loop
> >
> > In [59]: timeit E + Xi2[P/2]
> > 1
On 12/13/2009 05:13 AM, Jasper van de Gronde wrote:
> Bruce Southey wrote:
>
>> Really I would suggest asking the list for the real problem because it
>> is often amazing what solutions have been given.
>>
> So far this is the fastest code I've got:
> -
David Cournapeau gmail.com> writes:
>
> Could you give us the generated config.h (somewhere in
> build/src.*/numpy/core/), just in case ?
>
Here it is:
http://files.me.com/fonnesbeck/d9eyxi
Thanks again.
cf
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On 14-Dec-09, at 2:31 AM, yogesh karpate wrote:
> Does Numpy Support CGI scripting? DO scipy and matplotlib also
> support?
I'm not sure what you're asking exactly.
If the question is "can you create CGI scripts that use NumPy/SciPy/
matplotlib" then the answer is yes. You just need to look u
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