Multivariate Pattern Analysis in Python

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# mvpa2.datasets.mri

Dataset for magnetic resonance imaging (MRI) data.

This module offers functions to import into PyMVPA MRI data from files in any format supported by NiBabel (e.g. NIfTI, MINC, Analyze), and export PyMVPA datasets back into data formats supported by NiBabel.

Functions

`deepcopy`(x[, memo, _nil]) | Deep copy operation on arbitrary Python objects.
`fmri_dataset`(samples[, targets, chunks, ...]) | Create a dataset from an fMRI timeseries image.
`map2nifti`(dataset[, data, imghdr, imgtype]) | Maps data(sets) into the original dataspace and wraps it into an Image.

Classes

`BoxcarMapper`(startpoints, boxlength[, offset]) | Mapper to combine multiple samples into a single sample.
`Dataset`(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes.
`DatasetAttribute`([value, name, doc, length]) | Dataset attribute ..
`Event`(**kwargs) | Simple class to define properties of an event.
`FlattenMapper`([shape, maxdims]) | Reshaping mapper that flattens multidimensional arrays into 1D vectors.

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