Thanks for the beautiful work that you have put into this wonderful library.
My question is related to numpy.concatenate like concatenation of two
Dataset objects. I was wondering what other ways are there to concatenate
two such objects except the way of looping over all attributes of each of
them and using numpy.concatenate to concatenate them into one?
I am running an event-related analysis study and I have fMRI 4D images from
4 different runs. I can add a volume label (or target) to each sample using
onset-times as collected by relevant Psychopy data files and fit an hrf
model to each of the runs. But what I want to do is, concatenate each of the
Dataset objects into one, with relevant chunk labels (1 for 1st run, 2 for
2nd etc.) for each of the samples.
So, the question is, what other way can I use to concatenate two Dataset
objects than to use numpy.concatenate on each of its attributes?.
Hi all,
Thanks for the beautiful work that you have put into this wonderful library. My question is related to
numpy.concatenate
like concatenation of twoDataset
objects. I was wondering what other ways are there to concatenate two such objects except the way of looping over all attributes of each of them and usingnumpy.concatenate
to concatenate them into one?I am running an event-related analysis study and I have fMRI 4D images from 4 different runs. I can add a volume label (or target) to each sample using onset-times as collected by relevant Psychopy data files and fit an hrf model to each of the runs. But what I want to do is, concatenate each of the
Dataset
objects into one, with relevant chunk labels (1 for 1st run, 2 for 2nd etc.) for each of the samples.So, the question is, what other way can I use to concatenate two
Dataset
objects than to usenumpy.concatenate
on each of its attributes?.Thanks,