Simple plot¶

Open interactive notebook in Binder Below, we load some test data and only specify the template space we would like it plotted in.

In [1]:

# Load imports
import netplotbrain
import pandas as pd

# Load imports import netplotbrain import pandas as pd

In [2]:

#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'

#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'

In [3]:

#Example node and edges dataframes included with package
nodes = pd.read_csv(nodepath, sep='\t', index_col=0)
# peak at first lines of nodes dataframe
nodes.head()

#Example node and edges dataframes included with package nodes = pd.read_csv(nodepath, sep='\t', index_col=0) # peak at first lines of nodes dataframe nodes.head()

Out[3]:

	x	y	z	centrality_measure1	centrality_measure2	community
0	-50	-55	-30	0.5	0.7	Default
1	-50	15	-30	0.2	0.7	Default
2	-25	-90	-30	0.3	0.6	Salience
3	-25	-20	-30	0.3	0.9	Default
4	-25	15	-30	0.3	0.5	Salience

In [4]:

edges = pd.read_csv(edgepath, sep='\t', index_col=0)
# peak at first lines of edges dataframe
edges.head()

edges = pd.read_csv(edgepath, sep='\t', index_col=0) # peak at first lines of edges dataframe edges.head()

Out[4]:

	i	j	weight
0	4	29	0.1
1	8	21	0.3
2	9	20	0.3
3	16	29	0.1
4	0	2	0.3

In [5]:

netplotbrain.plot(template='MNI152NLin2009cAsym',
                  nodes=nodes,
                  edges=edges)

netplotbrain.plot(template='MNI152NLin2009cAsym', nodes=nodes, edges=edges)

Out[5]:

(<Figure size 216x216 with 1 Axes>, [<Axes3D: title={'center': 'Left'}>])