[pymvpa] Copying Mappingdata from multiple datasets

[Zhen Zonglei]

 Is there a easy way to do this in 0.6 ?

Dataset.append() did not work in my test.

Zonglei Zhen

On Fri, Jul 29, 2011 at 8:02 PM, Yaroslav Halchenko
<debian at onerussian.com>wrote:

> Hi Nynke,
>
> I believe that in 0.4.x you could simply "add" datasets which should
> preserve their type/masking:
>
> (Pydb) data
> <Dataset / int16 2 x 294912 uniq: 2 chunks 2 labels>
> (Pydb) data2
> <Dataset / int16 2 x 294912 uniq: 2 chunks 2 labels>
> (Pydb) print (data+data2).__class__
> <class 'mvpa.datasets.nifti.NiftiDataset'>
> *(Pydb) print (data+data2)
> Dataset / int16 4 x 294912 uniq: 2 chunks 2 labels
>
>
> so just add them all up, usually I do it with smth like
>
> ds = None
> for s in subjects:
>    ds_ = NiftiDataset(....)
>    ... preprocess data ...
>    if ds is None:
>        ds = ds_
>    ds += ds_
> del ds_
>
>
> On Fri, 29 Jul 2011, Nynke van der Laan wrote:
>
> > When I try to perform a searchlight analysis I get the following
> > message: "Searchlight only works with MappedDatasets that has metric
> > assigned."
>
> > Thus, I suppose that the mapping from the functional scans (and it's
> > associated measures such as voxel size) are missing and the dataset I
> > created is not a MappedDataset. Although I did not manage to create a
> > MappedDataset, also not after consulting your information on
> > (http://www.pymvpa.org/api/mvpa.datasets.mapped.MappedDataset-class.html
> > )
>
> > Do you have any suggestions?
>
> > Btw, I'm still using the older package on Neurodebian (this analysis
> > if for a revision and I prefer not to switch to a new version in
> > between revisions ;) )
>
> > Thanks in advance!
>
> > Best,
> > Nynke van der Laan
>
> --
> =------------------------------------------------------------------=
> Keep in touch                                     www.onerussian.com
> Yaroslav Halchenko                 www.ohloh.net/accounts/yarikoptic
>
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