def pymeda_pipeline(predictions,
raw_data,
title="PyMeda Plots",
cluster_levels=2,
path="./"):
features = get_pymeda_features(predictions, raw_data)
df = get_data_frame(features)
meda = pymeda.Meda(data=df, title=title, cluster_levels=cluster_levels)
meda.generate_report(path)
return
def pymeda_pipeline(predictions, raw_data, title = "PyMeda Plots", cluster_levels = 2, path = "./"):
connected_components = label_predictions(predictions)[0]
synapse_centroids = calculate_synapse_centroids(connected_components)
features = get_aggregate_sum(synapse_centroids, raw_data)
df = get_data_frame(features)
sys.stdout = open(os.devnull, 'w')
meda = pymeda.Meda(data = df, title = title, cluster_levels = cluster_levels)
sys.stdout = sys.__stdout__
#try:
meda.generate_report(path)
#except:
# print("Too many points, cannot generate plots. Fix incoming!")
return