Figures over multiple rows¶

Open interactive notebook in Binder

To plot multiple rows of views, you specify a list of strings specifying the viewing angles. The crucial argument here is:

view=['LSR', 'AIP'],

In [1]:

# Import packages
import netplotbrain
import pandas as pd

#Path to node and edge example data on netplotbrain
nodepath = 'https://raw.githubusercontent.com/wiheto/netplotbrain/main/examples/example_nodes.tsv'
edgepath = 'https://raw.githubusercontent.com/wiheto/netplotbrain/main/examples/example_edges.tsv'

# Load example data 
nodes = pd.read_csv(nodepath, sep='\t', index_col=0)
edges = pd.read_csv(edgepath, sep='\t', index_col=0)

# Plot figure
netplotbrain.plot(template='MNI152NLin2009cAsym',
                  template_style='glass',
                  nodes=nodes,
                  node_size='centrality_measure1',
                  edges=edges,
                  node_color='community',
                  view=['LSR', 'AIP'])

# Import packages import netplotbrain import pandas as pd #Path to node and edge example data on netplotbrain nodepath = 'https://raw.githubusercontent.com/wiheto/netplotbrain/main/examples/example_nodes.tsv' edgepath = 'https://raw.githubusercontent.com/wiheto/netplotbrain/main/examples/example_edges.tsv' # Load example data nodes = pd.read_csv(nodepath, sep='\t', index_col=0) edges = pd.read_csv(edgepath, sep='\t', index_col=0) # Plot figure netplotbrain.plot(template='MNI152NLin2009cAsym', template_style='glass', nodes=nodes, node_size='centrality_measure1', edges=edges, node_color='community', view=['LSR', 'AIP'])

Out[1]:

(<Figure size 648x504 with 8 Axes>,
 [<Axes3D: title={'center': 'Left'}>,
  <Axes3D: title={'center': 'Superior'}>,
  <Axes3D: title={'center': 'Right'}>,
  <Axes3D: title={'center': 'Anterior'}>,
  <Axes3D: title={'center': 'Inferior'}>,
  <Axes3D: title={'center': 'Posterior'}>,
  <Axes: >,
  <Axes: >])