[pymvpa] Mac memory issues w/ large datasets

[James M. Hughes]

Hi Michael,

Thanks for the suggestion.  This apparently fails since I can't  
overwrite the attribute directly.

The PyNifti documentation for NiftiImage includes a 'setDataArray'  
function which would seem to suffice for this purpose, but it does not  
appear to exist as an object method for the version of PyNifti that I  
have.  Perhaps it was removed?

Thanks,
James.
On Oct 18, 2010, at 9:30 AM, Michael Hanke wrote:

> Hey,
>
> On Sun, Oct 17, 2010 at 06:33:36PM -0400, James M. Hughes wrote:
>> Just one more question:
>>
>> I have a nifti file that has 5 dimensions (it's 10 x 1 x 80 x 80 x
>> 33) instead of 4.  Is there anyway I can force it to ignore that
>> second dimension or get rid of it later on?
>
>
> This 5d thing is caused by AFNI, right?
>
> If you are using pynifti you can do something like this (just a  
> sketch):
>
>>>> img = NiftiImage('something_from_afni.nii.gz')
>>>> img.data = img.data.squeeze()
>>>> ds = NiftiDataset(samples=img, mask='from_somewhere.nii.gz', ...)
>
> Something similar should work with NiBabel too.
>
>
> HTH,
>
> Michael
>
>
> -- 
> GPG key: 4096R/7FFB9E9B Michael Hanke
> http://mih.voxindeserto.de
>
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