text: ## A simple example for extracting different layers based on subgraphs.
  
  from py3plex.core import multinet
  from py3plex.algorithms.statistics.basic_statistics import *
  
  multilayer_network = multinet.multi_layer_network().load_network("../datasets/epigenetics.gpickle",directed=False, input_type="gpickle_biomine")
  
  names,networks,multiedges = multilayer_network.get_layers()
  
  ## print some basic statistics of each network
  for name, network, multiedgelist in zip(names,networks,multiedges):
      print(name, core_network_statistics(network))
  