On Wed, May 18, 2011 at 8:56 PM, Robert Love wrote:
>
> my_list = [[1960, 'W0'],[2001, 'D5']]
>
> my_arr = np.array(my_list, dtype=('uint', '|S2'))
>
> gives me an error I don't understand:
>
> ValueError: mismatch in size of old and new data-descriptor
>
> What are the old and new? I get t
my_list = [[1960, 'W0'],[2001, 'D5']]
my_arr = np.array(my_list, dtype=('uint', '|S2'))
gives me an error I don't understand:
ValueError: mismatch in size of old and new data-descriptor
What are the old and new? I get the same problem if try np.asarray()
If I make the dtype ('|S4', '
On 19.05.2011, at 12:47AM, Aradenatorix Veckhom Vacelaevus wrote:
> I have a file in simple text with information obtained in Fortran 77 and I
> need to use the data inside for visualize with Mayavi. I was fighting for a
> while with the VTK simple legacy format. Finally I could run an small
>
Seems like something the following would work (it's not particularly
efficient nor elegant though, and there may be some stupid bug since I
didn't actually try it). Also, there may be some more appropriate numpy
structure to handle named columns (the example below computes separately a
basic numpy
On Wed, 18 May 2011 16:36:31 -0700, G Jones wrote:
[clip]
> As a followup, I managed to install tcmalloc as described in the article
> I mentioned. Running the example I sent now shows a constant memory foot
> print as expected. I am surprised such a solution was necessary.
> Certainly others must
Hello,
I have seen the effect you describe, I had originally assumed this was the
case, but in fact there seems to be more to the problem. If it were only the
effect you mention, there should not be any memory error because the OS will
drop the pages when the memory is actually needed for something
On Wed, 18 May 2011 15:09:31 -0700, G Jones wrote:
[clip]
> import numpy as np
>
> x = np.memmap('mybigfile.bin',mode='r',dtype='uint8') print x.shape #
> prints (42940071360,) in my case ndat = x.shape[0]
> for k in range(1000):
> y = x[k*ndat/1000:(k+1)*ndat/1000].astype('float32') #The ast
Hi everybody:
I have a file in simple text with information obtained in Fortran 77 and I
need to use the data inside for visualize with Mayavi. I was fighting for a
while with the VTK simple legacy format. Finally I could run an small
example, but now I need to select specific information from th
Hello,
I need to process several large (~40 GB) files. np.memmap seems ideal for
this, but I have run into a problem that looks like a memory leak or memory
fragmentation. The following code illustrates the problem
import numpy as np
x = np.memmap('mybigfile.bin',mode='r',dtype='uint8')
print x.s
> Glad you solved it. Can you tell us the details of your setup (gcc
> version, Cygwin version)?
I used the latest mingw 20110316. I can't find out how to get the gcc and cygwin version number though... what are the commands in windows?
Cheers
Wieland
___
On 05/18/2011 03:28 PM, Ralf Gommers wrote:
On Wed, May 18, 2011 at 8:42 PM, Wieland Brendel
mailto:wielandbren...@gmx.net>> wrote:
I succeeded now in installing the latest Numpy version. There was some
problem in mingw32ccompiler.py. I had to change the lines
elif
On Wed, May 18, 2011 at 8:42 PM, Wieland Brendel wrote:
> I succeeded now in installing the latest Numpy version. There was some
> problem in mingw32ccompiler.py. I had to change the lines
>
> elif self.gcc_version < "4.":
> self.set_executables(compiler='gcc -mno-cyg
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I succeeded now in installing the latest Numpy version. There was some
problem in mingw32ccompiler.py. I had to change the lines
elif self.gcc_version < "4.":
self.set_executables(compiler='gcc -mno-cygwin -O2 -Wall',
compiler
Hi Wieland:
I see you have troubles isnide windows... mmm I don't enjoy to work with
that OS but perhaps you should clean the Registry before reinstall your
packages. I suggest you tu download and install the last version of
Ccleaner, clean your PC and your Registry before try again. I hope it hel
I have deinstalled scipy, numpy and Python(x,y), reinstalled a newer
version of Python (x,y) and run the python install again - same result.
However, maybe the build cache was still not cleaned?
I used the build command
>
python setup.py config --compiler=mingw32 build --compiler=mingw32 inst
On Wed, May 18, 2011 at 11:50 AM, Ralf Gommers
wrote:
>
>
> On Wed, May 18, 2011 at 7:38 PM, Wieland Brendel
> wrote:
>
>> Dear Ralf,
>> thanks for you suggestion - the SVN was of course only the numpy master
>> branch. I switched to the latest 1.6.x branch but the compilation stops
>> with
>>
>>
On Wed, May 18, 2011 at 7:38 PM, Wieland Brendel wrote:
> Dear Ralf,
> thanks for you suggestion - the SVN was of course only the numpy master
> branch. I switched to the latest 1.6.x branch but the compilation stops
> with
>
> > ValueError: invalid version number '4.'
>
You have a time machine!
Dear Ralf,
thanks for you suggestion - the SVN was of course only the numpy master
branch. I switched to the latest 1.6.x branch but the compilation stops with
> ValueError: invalid version number '4.'
in line 107, C:\Python26\lib\distutils\version.py
(before was line 40, self.parse(vstring)).
On Wed, May 18, 2011 at 7:17 PM, Wieland Brendel wrote:
> Hello,
> I am glad Mark was able to resolve the bug in einsum very fast since I
> am heavily relying on this function. I am working on a Windows 7 64 bit
> system with latest Python 2.6. I tried to build numpy from SVN following
> along
>
>
Hello,
I am glad Mark was able to resolve the bug in einsum very fast since I
am heavily relying on this function. I am working on a Windows 7 64 bit
system with latest Python 2.6. I tried to build numpy from SVN following
along
http://www.scipy.org/Build_for_Windows
After installing numpy I r
On Wed, May 18, 2011 at 8:57 AM, Mark Wiebe wrote:
> On Tue, May 17, 2011 at 8:53 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>> On Tue, May 17, 2011 at 7:46 PM, Wieland Brendel
>> wrote:
>>
>>> > The equality being that the expression should be ~0?
>>>
>>> Exactly.
>>>
>>> > I
On Tue, May 17, 2011 at 8:53 PM, Charles R Harris wrote:
> On Tue, May 17, 2011 at 7:46 PM, Wieland Brendel
> wrote:
>
>> > The equality being that the expression should be ~0?
>>
>> Exactly.
>>
>> > I see the problem when the last index is in the range 235 - 390.
>>
>> Good to see I am not the
It's a wild guess, but try to save your pickle with 'wb' as argument of
open, and protocol=-1. Then open it with 'rb'. It helped me fix some
cross-platform issues in the past.
-=- Olivier
2011/5/18 Neal Becker
> The file is pickle saved on i386 and loaded on x86_64. It contains a numpy
> array
Wed, 18 May 2011 07:39:18 -0400, Neal Becker wrote:
> The file is pickle saved on i386 and loaded on x86_64. It contains a
> numpy array (amoungst other things).
>
> On load it says:
>
> RuntimeError: invalid signature
There's no such message in Numpy source code, so the error does
not come dir
The file is pickle saved on i386 and loaded on x86_64. It contains a numpy
array (amoungst other things).
On load it says:
RuntimeError: invalid signature
Is binary format not portable?
___
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