def generate_similarity_bokeh(data_dir=op.join('generated', 'data'),
output_dir=op.join('generated', 'plots',
'similarity')):
"""Asymmetry partial correlation matrix"""
for atlas, measures in prefixes.items():
if atlas == 'destrieux': # skip destrieux
continue
for measure, prefix in measures.items():
# Generate similarity matrix for given dataset / data point
do_similarity(atlas=atlas, prefixes=[prefix],
metric='partial-correlation',
measures=['Asymmetry Index'],
data_dir=data_dir,
output_dir=output_dir, output_format='bokeh')
def generate_similarity_json(data_dir=op.join('generated', 'data'),
output_dir=op.join('generated', 'data')):
"""Asymmetry partial correlation data as json overlay for roygbiv"""
from ping.ping.data import prefixes
from ping.scripts.similarity import do_similarity
for atlas, measures in prefixes.items():
if atlas == 'destrieux': # skip destrieux
continue
for measure, prefix in measures.items():
do_similarity(atlas=atlas, prefixes=[prefix],
metric='partial-correlation',
measures=['Asymmetry Index'],
data_dir=data_dir,
output_dir=op.join(output_dir, 'fsaverage', atlas),
output_format='json')