Coverage for nilearn/image/__init__.py: 100%
3 statements
« prev ^ index » next coverage.py v7.9.1, created at 2025-06-16 12:32 +0200
« prev ^ index » next coverage.py v7.9.1, created at 2025-06-16 12:32 +0200
1"""Mathematical operations working on Niimg-like objects.
3Like, for example, a (3+)D block of data, and an affine.
4"""
6from .image import (
7 binarize_img,
8 clean_img,
9 concat_imgs,
10 copy_img,
11 crop_img,
12 get_data,
13 high_variance_confounds,
14 index_img,
15 iter_img,
16 largest_connected_component_img,
17 load_img,
18 math_img,
19 mean_img,
20 new_img_like,
21 smooth_img,
22 swap_img_hemispheres,
23 threshold_img,
24)
25from .resampling import (
26 coord_transform,
27 reorder_img,
28 resample_img,
29 resample_to_img,
30)
32__all__ = [
33 "binarize_img",
34 "clean_img",
35 "concat_imgs",
36 "coord_transform",
37 "copy_img",
38 "crop_img",
39 "get_data",
40 "high_variance_confounds",
41 "index_img",
42 "iter_img",
43 "largest_connected_component_img",
44 "load_img",
45 "math_img",
46 "mean_img",
47 "new_img_like",
48 "reorder_img",
49 "resample_img",
50 "resample_to_img",
51 "smooth_img",
52 "swap_img_hemispheres",
53 "threshold_img",
54]