Note

This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.

8.5.6. nilearn.image.get_data

nilearn.image.get_data(img)

Get the image data as a numpy.ndarray.

Parameters:

img : Niimg-like object or iterable of Niimg-like objects

See http://nilearn.github.io/manipulating_images/input_output.html.

Returns:

numpy.ndarray

3D or 4D numpy array depending on the shape of img. This function preserves the type of the image data. If img is an in-memory Nifti image it returns the image data array itself – not a copy.

8.5.6.1. Examples using nilearn.image.get_data

Searchlight analysis of face vs house recognition

Different classifiers in decoding the Haxby dataset

Voxel-Based Morphometry on Oasis dataset

Clustering methods to learn a brain parcellation from fMRI

Second-level fMRI model: one sample test

Example of generic design in second-level models

Visualization of affine resamplings

Computing a Region of Interest (ROI) mask manually

Massively univariate analysis of a calculation task from the Localizer dataset

NeuroVault meta-analysis of stop-go paradigm studies.

Massively univariate analysis of a motor task from the Localizer dataset

Massively univariate analysis of face vs house recognition