def test_plot_all_nonet_no_mask():
# Set example inputs
base_dir = str(Path(__file__).parent / "examples")
#base_dir = '/Users/rxh180012/PyNets-development/tests/examples'
dir_path = base_dir + '/997'
network = None
ID = '997'
thr = 0.95
node_size = 2
smooth = 2
conn_model = 'sps'
parlistfile = None
atlas_select = 'whole_brain_cluster_labels_PCA200'
mask = None
prune = 1
conn_matrix = np.genfromtxt(
dir_path +
'/whole_brain_cluster_labels_PCA200/997_Default_est_sps_0.94.txt')
edge_threshold = '99%'
labels_file_path = dir_path + '/whole_brain_cluster_labels_PCA200/Default_func_labelnames_wb.pkl'
labels_file = open(labels_file_path, 'rb')
label_names = pickle.load(labels_file)
coord_file_path = dir_path + '/whole_brain_cluster_labels_PCA200/Default_func_coords_wb.pkl'
coord_file = open(coord_file_path, 'rb')
coords = pickle.load(coord_file)
start_time = time.time()
#coords already a list
plotting.plot_all(conn_matrix, conn_model, atlas_select, dir_path, ID,
network, label_names, mask, coords, edge_threshold, thr,
node_size, smooth, prune, parlistfile)
print("%s%s%s" % ('plot_all --> finished: ',
str(np.round(time.time() - start_time, 1)), 's'))
def test_plot_all_nonet_with_mask():
##Set example inputs##
base_dir = str(Path(__file__).parent / "examples")
#base_dir = '/Users/PSYC-dap3463/Applications/PyNets/tests/examples'
dir_path = base_dir + '/997'
network = None
ID = '997'
thr = 0.95
node_size = 2
conn_model = 'sps'
atlas_select = 'whole_brain_cluster_labels_PCA200'
mask = None
conn_matrix = np.genfromtxt(
dir_path + '/whole_brain_cluster_labels_PCA200/997_est_sps_0.94.txt')
edge_threshold = '99%'
labels_file_path = dir_path + '/whole_brain_cluster_labels_PCA200/WB_func_labelnames_wb.pkl'
labels_file = open(labels_file_path, 'rb')
label_names = pickle.load(labels_file)
coord_file_path = dir_path + '/whole_brain_cluster_labels_PCA200/WB_func_coords_wb.pkl'
coord_file = open(coord_file_path, 'rb')
coords = pickle.load(coord_file)
plotting.plot_all(conn_matrix, conn_model, atlas_select, dir_path, ID,
network, label_names, mask, coords, edge_threshold, thr,
node_size)