def _generate_img():
mni_affine = MNI152TEMPLATE.get_affine()
data_positive = np.zeros((7, 7, 3))
rng = np.random.RandomState(42)
data_rng = rng.rand(7, 7, 3)
data_positive[1:-1, 2:-1, 1:] = data_rng[1:-1, 2:-1, 1:]
nii = nibabel.Nifti1Image(data_positive, mni_affine)
return nii
def test_plot_img_with_resampling():
import pylab as pl
pl.switch_backend('template')
data = MNI152TEMPLATE.get_data()[:5, :5, :5]
affine = np.array([[1., -1., 0., 0.], [1., 1., 0., 0.], [0., 0., 1., 0.],
[0., 0., 0., 1.]])
img = nibabel.Nifti1Image(data, affine)
display = plot_img(img)
display.add_overlay(img)
def demo_plot_roi(**kwargs):
""" Demo plotting an ROI
"""
mni_affine = MNI152TEMPLATE.get_affine()
data = np.zeros((91, 109, 91))
# Color a asymetric rectangle around Broca area:
x, y, z = -52, 10, 22
x_map, y_map, z_map = coord_transform(x, y, z, np.linalg.inv(mni_affine))
data[int(x_map) - 5 : int(x_map) + 5, int(y_map) - 3 : int(y_map) + 3, int(z_map) - 10 : int(z_map) + 10] = 1
img = nibabel.Nifti1Image(data, mni_affine)
return plot_roi(img, title="Broca's area", **kwargs)
def demo_plot_roi(**kwargs):
""" Demo plotting an ROI
"""
mni_affine = MNI152TEMPLATE.get_affine()
data = np.zeros((91, 109, 91))
# Color a asymetric rectangle around Broca area:
x, y, z = -52, 10, 22
x_map, y_map, z_map = coord_transform(x, y, z, np.linalg.inv(mni_affine))
data[int(x_map) - 5:int(x_map) + 5,
int(y_map) - 3:int(y_map) + 3,
int(z_map) - 10:int(z_map) + 10] = 1
img = nibabel.Nifti1Image(data, mni_affine)
return plot_roi(img, title="Broca's area", **kwargs)
