def test_view_surface(qtbot):
"""Test adding 3D surface."""
np.random.seed(0)
vertices = np.random.random((10, 3))
faces = np.random.randint(10, size=(6, 3))
values = np.random.random(10)
data = (vertices, faces, values)
viewer = napari.view_surface(data)
view = viewer.window.qt_viewer
qtbot.addWidget(view)
assert np.all(
[np.all(vd == d) for vd, d in zip(viewer.layers[0].data, data)])
assert len(viewer.layers) == 1
assert view.layers.vbox_layout.count() == 2 * len(viewer.layers) + 2
assert viewer.dims.ndim == 3
assert view.dims.nsliders == viewer.dims.ndim
assert np.sum(view.dims._displayed_sliders) == 1
# Switch to 3D rendering
viewer.dims.ndisplay = 3
assert viewer.dims.ndisplay == 3
assert np.sum(view.dims._displayed_sliders) == 0
# Close the viewer
viewer.window.close()
from skimage import data
import numpy as np
import napari
with napari.gui_qt():
vertices = np.array([[0, 0], [0, 20], [10, 0], [10, 10]])
faces = np.array([[0, 1, 2], [1, 2, 3]])
values = np.linspace(0, 1, len(vertices))
surface = (vertices, faces, values)
viewer = napari.view_surface(surface) # add the surface
"""
Test adding 4D followed by 5D image layers to the viewer
Intially only 2 sliders should be present, then a third slider should be
created.
"""
import numpy as np
from skimage import data, measure
import napari
import scipy.ndimage as ndi
image = data.binary_blobs(128, n_dim=3)
verts, faces, normals, values = (measure.marching_cubes_lewiner(
image.astype(float), level=0.7))
labels = ndi.label(image)[0]
vertex_labels = ndi.map_coordinates(labels, verts.T, order=0).astype(int)
with napari.gui_qt():
viewer = napari.view_surface((verts, faces, values))
surf_layer = viewer.add_surface((verts, faces, vertex_labels),
colormap='gist_earth')
viewer.dims.ndisplay = 3
"""
Add surface 2D
==============
Display a 2D surface
"""
import numpy as np
import napari
data = np.array([[0, 0], [0, 20], [10, 0], [10, 10]])
faces = np.array([[0, 1, 2], [1, 2, 3]])
values = np.linspace(0, 1, len(data))
# add the surface
viewer = napari.view_surface((data, faces, values))
if __name__ == '__main__':
napari.run()
"""Test converting an image to a multiscale.
"""
import numpy as np
import napari
with napari.gui_qt():
#viewer = napari.Viewer()
np.random.seed(0)
# vertices = np.random.random((10, 3))
# faces = np.random.randint(10, size=(6, 3))
# values = np.random.random(10)
vertices = np.random.random((10, 3))
faces = np.random.randint(10, size=(6, 3))
values = np.random.random(10)
#viewer.add_surface(data)
# vertices = np.array([[0, 0], [0, 20], [10, 0], [10, 10]])
# faces = np.array([[0, 1, 2], [1, 2, 3]])
# values = np.linspace(0, 1, len(vertices))
data = (vertices, faces, values)
viewer = napari.view_surface(data)
