[pymvpa] loading sample with varying dimension

[Yaroslav Halchenko]

Hi Temilade,

Unfortunately in the case of a sequence specified as samples, it assumes
each entry to be a sample (so it was trying to create 5D array with 10
samples).

As a workaround, you could load them up manually... smth (not tested...
just typing):

samples=np.vstack([NiftiImage(x).asarray() for x in [fmri_src1, ...]])

probably you would also like to wrap it all into a new NiftiImage with
that data and a header from one of the files -- then you could again
created your NiftiDataset

hope this helps

On Thu, 08 Apr 2010, Temilade Adelore wrote:

>    Hello Experts,
>    I am trying to load samples into pymvpa using the following command:
>    pre_fmri_src = NiftiDataset(samples=[fmri_src1, fmri_src2, fmri_src3,
>    fmri_src4, fmri_src5, fmri_src6, fmri_src7, fmri_src8,
>    fmri_src9,fmri_src10], labels=4, chunks=10, enforce_dim=None,
>    mask=None)
>    Each of the 10 samples correspond to a 4D NiftiImage instance.
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