Plot RGB Vertex Data¶
This plots example RGB vertex data onto an example subject, S1, onto a flatmap using quickflat. In order for this to run, you have to have a flatmap for this subject in the pycortex filestore.
The cortex.VertexRGB object is instantiated with three cortex.Vertex objects, one for each of the three color channels. Ideally, the data in the Volume objects will be scaled to be between 0-255 and be np.uint8 type.
Here, two datasets are generated to look like gradients across the brain and a third dataset makes a series of random stripes across the brain. You can use any cortex.Vertex objects in their place though.
import cortex import cortex.polyutils import numpy as np np.random.seed(1234) import matplotlib.pyplot as plt subject = 'S1' # In order to get the number of vertices in this subject's cortical surface # we have to load in their surfaces and get the number of points in each surfs = [cortex.polyutils.Surface(*d) for d in cortex.db.get_surf(subject, "fiducial")] # This is the total number of vertices in the left and right hemispheres num_verts = [s.pts.shape for s in surfs] # Creating one fake dataset that is basically a gradient across each # hemisphere based on vertex number test1 = np.hstack((np.arange(num_verts), np.arange(num_verts))) # Picking a different vertex in each hemisphere to create another fake # gradient away from that vertex second_verts = [n / 4 for n in num_verts] test2 = np.hstack((np.abs(np.arange(num_verts) - second_verts), np.abs(np.arange(num_verts) - second_verts))) # Creating a third dataset that is random stripes third_verts = np.random.randint(num_verts + num_verts, size=(20,)) test3 = np.zeros(num_verts + num_verts) for v in third_verts: test3[v-1000: v+1000] = 1 # Scaling the three datasets to be between 0-255 test1_scaled = test1 / np.max(test1) * 255 test2_scaled = test2 / np.max(test2) * 255 test3_scaled = test3 / np.max(test3) * 255 # Creating three cortex.Volume objects with the test data as np.uint8 red = cortex.Vertex(test1_scaled, subject) green = cortex.Vertex(test2_scaled, subject) blue = cortex.Vertex(test3_scaled, subject) # This creates a 2D Vertex object with both of our test datasets for the # given subject vertex_data = cortex.VertexRGB(red, green, blue, subject) cortex.quickshow(vertex_data, with_colorbar=False) plt.show()
Total running time of the script: ( 0 minutes 2.669 seconds)