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.
8.5.14. nilearn.image.new_img_like¶
- nilearn.image.- new_img_like(ref_niimg, data, affine=None, copy_header=False)¶
- Create a new image of the same class as the reference image - Parameters: - ref_niimg : Niimg-like object - Reference image. The new image will be of the same type. - data : - numpy.ndarray- Data to be stored in the image. - affine : 4x4 - numpy.ndarray, optional- Transformation matrix. - copy_header : - bool, optional- Indicated if the header of the reference image should be used to create the new image. - Returns: - Niimg-like object - A loaded image with the same type (and header) as the reference image. 
 
 

