def test_labelled_cells():
# Create a scene
scene = Scene() # specify that you want a view from the top
# Gerate the coordinates of N cells across 3 regions
regions = ["MOs", "VISp", "ZI"]
N = 1000 # getting 1k cells per region, but brainrender can deal with >1M cells easily.
# Render regions
scene.add_brain_regions(regions, alpha=.2)
# Get fake cell coordinates
cells = [] # to store x,y,z coordinates
for region in regions:
region_cells = scene.get_n_random_points_in_region(region=region, N=N)
cells.extend(region_cells)
x, y, z = [c[0] for c in cells], [c[1]
for c in cells], [c[2] for c in cells]
cells = pd.DataFrame(dict(x=x, y=y, z=z))
# Add cells
scene.add_cells(cells, color='darkseagreen', res=12, radius=25)
import brainrender
brainrender.SHADER_STYLE = 'cartoon'
from brainrender.scene import Scene
# Create a scene
scene = Scene() # specify that you want a view from the top
# Gerate the coordinates of N cells across 3 regions
regions = ["MOs", "VISp", "ZI"]
N = 1000 # getting 1k cells per region, but brainrender can deal with >1M cells easily.
# Render regions
scene.add_brain_regions(regions, alpha=.2)
# Get fake cell coordinates
cells = [] # to store x,y,z coordinates
for region in regions:
region_cells = scene.get_n_random_points_in_region(region=region, N=N)
cells.extend(region_cells)
x, y, z = [c[0] for c in cells], [c[1] for c in cells], [c[2] for c in cells]
cells = pd.DataFrame(dict(
x=x, y=y, z=z)) # ! <- coordinates should be stared as a pandas dataframe
# Add cells
scene.add_cells(cells, color='darkseagreen', res=12, radius=25)
# render
scene.render()
