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.

nilearn.image.get_data#

nilearn.image.get_data(img)[source]#

Get the image data as a numpy.ndarray.

Parameters:
imgNiimg-like object or iterable of Niimg-like objects

See Input and output: neuroimaging data representation.

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.

Examples using nilearn.image.get_data#

Searchlight analysis of face vs house recognition

Searchlight analysis of face vs house recognition

Searchlight analysis of face vs house recognition
Different classifiers in decoding the Haxby dataset

Different classifiers in decoding the Haxby dataset

Different classifiers in decoding the Haxby dataset
Voxel-Based Morphometry on Oasis dataset

Voxel-Based Morphometry on Oasis dataset

Voxel-Based Morphometry on Oasis dataset
Clustering methods to learn a brain parcellation from fMRI

Clustering methods to learn a brain parcellation from fMRI

Clustering methods to learn a brain parcellation from fMRI
Second-level fMRI model: one sample test

Second-level fMRI model: one sample test

Second-level fMRI model: one sample test
Example of generic design in second-level models

Example of generic design in second-level models

Example of generic design in second-level models
Visualization of affine resamplings

Visualization of affine resamplings

Visualization of affine resamplings
Computing a Region of Interest (ROI) mask manually

Computing a Region of Interest (ROI) mask manually

Computing a Region of Interest (ROI) mask manually
Massively univariate analysis of a calculation task from the Localizer dataset

Massively univariate analysis of a calculation task from the Localizer dataset

Massively univariate analysis of a calculation task from the Localizer dataset
NeuroVault meta-analysis of stop-go paradigm studies.

NeuroVault meta-analysis of stop-go paradigm studies.

NeuroVault meta-analysis of stop-go paradigm studies.
Massively univariate analysis of a motor task from the Localizer dataset

Massively univariate analysis of a motor task from the Localizer dataset

Massively univariate analysis of a motor task from the Localizer dataset
Massively univariate analysis of face vs house recognition

Massively univariate analysis of face vs house recognition

Massively univariate analysis of face vs house recognition