On Thu, Sep 30, 2010 at 12:07 AM, wrote:
> On Wed, Sep 29, 2010 at 11:24 PM, Damien Morton
> wrote:
>> On Thu, Sep 30, 2010 at 11:11 AM, wrote:
bincount only works for gathering/accumulating scalars. Even the
'weights' parameter is limited to scalars.
>>>
>>> Do you mean that bincou
On Wed, Sep 29, 2010 at 11:24 PM, Damien Morton wrote:
> On Thu, Sep 30, 2010 at 11:11 AM, wrote:
>>> bincount only works for gathering/accumulating scalars. Even the
>>> 'weights' parameter is limited to scalars.
>>
>> Do you mean that bincount only works with 1d arrays? I also think that
>> th
>>> I propose the name 'gather()' for the helper function that does this.
>>
>> I don't think "gather" is an obvious name to search for.
>
> "gather" is the name that the GPGPU community uses to describe this
> kind of operation. Not just for summation but for any kind of indexed
> reducing operati
On Thu, Sep 30, 2010 at 11:11 AM, wrote:
>> bincount only works for gathering/accumulating scalars. Even the
>> 'weights' parameter is limited to scalars.
>
> Do you mean that bincount only works with 1d arrays? I also think that
> this is a major limitation of it.
>>> from numpy import *
>>> a
On Wed, Sep 29, 2010 at 20:11, wrote:
> On Wed, Sep 29, 2010 at 9:03 PM, Damien Morton wrote:
>> On Thu, Sep 30, 2010 at 3:28 AM, Robert Kern wrote:
>>> On Wed, Sep 29, 2010 at 12:00, Pauli Virtanen wrote:
Wed, 29 Sep 2010 11:15:08 -0500, Robert Kern wrote:
[clip: inplace addition wi
On Wed, Sep 29, 2010 at 1:03 PM, David Reichert
wrote:
> Hi,
>
> I have a list of matrices W_k I'd like to multiply with a list of vectors
> v_k,
> or another way of looking at it, writing all W_k into a 3d array and all
> v_k into a 2d matrix/array, I'd like to compute matrix R as
>
> R_ik = sum_
On Wed, Sep 29, 2010 at 10:48 AM, Aaron River wrote:
> Greetings Gentle Folk,
>
> I'm happy to announce that the server hosting SciPy.org,
> as well as other OSS projects, has been migrated into a
> cluster assigned to our community support efforts.
As someone who has been grateful, yet frustrate
On Wed, Sep 29, 2010 at 9:03 PM, Damien Morton wrote:
> On Thu, Sep 30, 2010 at 3:28 AM, Robert Kern wrote:
>> On Wed, Sep 29, 2010 at 12:00, Pauli Virtanen wrote:
>>> Wed, 29 Sep 2010 11:15:08 -0500, Robert Kern wrote:
>>> [clip: inplace addition with duplicates]
Use numpy.bincount() inste
On Thu, Sep 30, 2010 at 3:28 AM, Robert Kern wrote:
> On Wed, Sep 29, 2010 at 12:00, Pauli Virtanen wrote:
>> Wed, 29 Sep 2010 11:15:08 -0500, Robert Kern wrote:
>> [clip: inplace addition with duplicates]
>>> Use numpy.bincount() instead.
>>
>> It might be worthwhile to add a separate helper fun
Hi Josef
Thanks for your comments.
> numpy.ptp(a, axis=None, out=None)
> Range of values (maximum - minimum) along an axis.
I feel silly for not having noticed that function, it's right next to amin
and amax in the docs.
Both your suggestions improved the performance, but only a little,
regardl
> It seems that the "Other parameters" section is not
> getting included in the output.
The "Other parameters" is not often used in numpy because there are
not generally dozens of "tweaking" parameters in its basic numerical
routines. It will probably be more common in certain scipy pages, and
i
On Sep 30, 2010, at 12:15 AM, Gökhan Sever wrote:
> On Wed, Sep 29, 2010 at 5:09 PM, Pierre GM wrote:
>>
>> On Sep 29, 2010, at 11:46 PM, josef.p...@gmail.com wrote:
>>>
>>> any of the ma stack array function might also work, or not?
>>
>> In np.ma.extras ? Most likely, yes
>
> This seems to
On Sep 30, 2010, at 12:01 AM, Gökhan Sever wrote:
>> You're using a standard numpy function on a masked array. It's hardly
>> surprising that you run into some issues. You should use the np.ma
>> equivalent. Except of course that the equivalent doesn't exist yet... Please
>> open a ticket.
>
On Wed, Sep 29, 2010 at 5:09 PM, Pierre GM wrote:
>
> On Sep 29, 2010, at 11:46 PM, josef.p...@gmail.com wrote:
>>
>> any of the ma stack array function might also work, or not?
>
> In np.ma.extras ? Most likely, yes
This seems to do what I want:
I[262]: np.ma.hstack(all_measured)
O[262]:
masked
On Sep 29, 2010, at 11:46 PM, josef.p...@gmail.com wrote:
>
> any of the ma stack array function might also work, or not?
In np.ma.extras ? Most likely, yes
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> You're using a standard numpy function on a masked array. It's hardly
> surprising that you run into some issues. You should use the np.ma
> equivalent. Except of course that the equivalent doesn't exist yet... Please
> open a ticket.
Here it comes -> http://projects.scipy.org/numpy/ticket/16
On Wed, Sep 29, 2010 at 5:37 PM, Pierre GM wrote:
>
> On Sep 29, 2010, at 11:01 PM, Gökhan Sever wrote:
>
>> Hello,
>>
>> Consider these two simple masked arrays:
>>
>> I[188]: a = np.ma.masked_equal([1,2,3], value=2)
>>
>> I[189]: b = np.ma.masked_equal([4,3,2], value=2)
>>
>> An operation like t
On Sep 29, 2010, at 11:01 PM, Gökhan Sever wrote:
> Hello,
>
> Consider these two simple masked arrays:
>
> I[188]: a = np.ma.masked_equal([1,2,3], value=2)
>
> I[189]: b = np.ma.masked_equal([4,3,2], value=2)
>
> An operation like this voids the mask:
>
> I[190]: np.append(a,b)
> O[190]:
>
Hello,
Consider these two simple masked arrays:
I[188]: a = np.ma.masked_equal([1,2,3], value=2)
I[189]: b = np.ma.masked_equal([4,3,2], value=2)
An operation like this voids the mask:
I[190]: np.append(a,b)
O[190]:
masked_array(data = [1 2 3 4 3 2],
mask = False,
fill_valu
On Wed, Sep 29, 2010 at 4:39 PM, wrote:
> On Wed, Sep 29, 2010 at 4:19 PM, Charles R Harris
> wrote:
>>
>>
>> On Wed, Sep 29, 2010 at 1:59 PM, Michael Droettboom wrote:
>>>
>>> We're having trouble using numpydoc formatted docstrings for one of our
>>> own project. It seems that the "Other par
On Wed, Sep 29, 2010 at 4:19 PM, Charles R Harris
wrote:
>
>
> On Wed, Sep 29, 2010 at 1:59 PM, Michael Droettboom wrote:
>>
>> We're having trouble using numpydoc formatted docstrings for one of our
>> own project. It seems that the "Other parameters" section is not
>> getting included in the o
On Wed, Sep 29, 2010 at 1:59 PM, Michael Droettboom wrote:
> We're having trouble using numpydoc formatted docstrings for one of our
> own project. It seems that the "Other parameters" section is not
> getting included in the output.
>
> A grep across Numpy's own source code (git master) reveals
We're having trouble using numpydoc formatted docstrings for one of our
own project. It seems that the "Other parameters" section is not
getting included in the output.
A grep across Numpy's own source code (git master) reveals that this
kind of section is used in only one place -- the docstri
Hi,
I have a list of matrices W_k I'd like to multiply with a list of vectors
v_k,
or another way of looking at it, writing all W_k into a 3d array and all
v_k into a 2d matrix/array, I'd like to compute matrix R as
R_ik = sum_j W_ijk h_jk.
Is there a fast way of doing that in numpy?
Regards,
Greetings Gentle Folk,
I'm happy to announce that the server hosting SciPy.org,
as well as other OSS projects, has been migrated into a
cluster assigned to our community support efforts.
The base instance itself remains relatively unchanged,
but is now running atop a more capable set of servers.
On Wed, Sep 29, 2010 at 12:00, Pauli Virtanen wrote:
> Wed, 29 Sep 2010 11:15:08 -0500, Robert Kern wrote:
> [clip: inplace addition with duplicates]
>> Use numpy.bincount() instead.
>
> It might be worthwhile to add a separate helper function for this
> purpose. Bincount makes a copy that could b
Wed, 29 Sep 2010 11:15:08 -0500, Robert Kern wrote:
[clip: inplace addition with duplicates]
> Use numpy.bincount() instead.
It might be worthwhile to add a separate helper function for this
purpose. Bincount makes a copy that could be avoided, and it is difficult
to find if you don't know about
On Wed, Sep 29, 2010 at 9:19 AM, wrote:
> On Wed, Sep 29, 2010 at 8:25 AM, Gordon Wrigley wrote:
>> Hi
>> First the disclaimer: This is my first numpy experience, so I have next to
>> no idea what I'm doing.
>> I've muddled through and managed to put together some code for my current
>> problem
On Wed, 2010-09-29 at 16:36 +0200, David Froger wrote:
> Did you try loadtxt? I try to output something in the format 1.538D-06
> with Fortran in order to test reading it with loadtxt, but I always
> get 1.538E-06. Where does the 'D' come from?
No, I didn't, but I will.
Preserving the 'D' isn't
On Wed, Sep 29, 2010 at 01:01, Damien Morton wrote:
> lets say i have arrays:
>
> a = array((1,2,3,4,5))
> indices = array((1,1,1,1))
>
> and i perform operation:
>
> a[indices] += 1
>
> the result is
>
> array([1, 3, 3, 4, 5])
>
> in other words, the duplicates in indices are ignored
>
> if I wan
program write_txt
real(kind=8):: x
open(10,file='data.txt')
do i = 1,10
x = i*2.
write(10,fmt='(2(D12.3))') x,x**2
enddo
close(10)
end program write_txt
In [1]: def expDtofloat(s):
...: return float(s.replace('D','E'))
...:
In [2]: x,y =
loadtxt('data.txt',unpack=True,c
program write_txt
real(kind=8):: x
open(10,file='data.txt')
do i = 1,10
x = i*2.
write(10,fmt='(2(D12.3))') x,x**2
enddo
close(10)
end program write_txt
In [1]: x,y = loadtxt('data.txt',unpack=True)
---
ValueErr
Did you try loadtxt? I try to output something in the format 1.538D-06 with
Fortran in order to test reading it with loadtxt, but I always get
1.538E-06. Where does the 'D' come from?
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I need to convert numbers read from a text file to floating point. The
numbers are in the format 1.538D-06 (written by a FORTRAN application)
and have varying amounts of whitespace between them from line to line.
The function fromstring() deals with the whitespace just fine but
'dtype=float' doesn
On Wed, Sep 29, 2010 at 8:25 AM, Gordon Wrigley wrote:
> Hi
> First the disclaimer: This is my first numpy experience, so I have next to
> no idea what I'm doing.
> I've muddled through and managed to put together some code for my current
> problem and now that I have it going I'd like to hear any
Hi
First the disclaimer: This is my first numpy experience, so I have next to
no idea what I'm doing.
I've muddled through and managed to put together some code for my current
problem and now that I have it going I'd like to hear any comments people
may have on both my solution and other ways of
Hi,
I'm going to give a seminar about serialization, and I'd like to
describe the .npy format. I noticed that there is a variant of it
called .npz that can pack several arrays in one single file.
However, .npz does not use compression at all and I'm wondering what's
the reason. I suppose tha
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