<｜begin▁of▁sentence｜>### Instruction:
As a wildlife rehabilitator, you've been working with a network of wildlife sanctuaries to coordinate the transfer of animals. The network data including the weight attribute on its edges, has been loaded from the 'wildlife_network_data.ncol' file. You need to use the igraph EdgeSeq select method to filter and print out the edges where the weight attribute is greater than 50. This will help you identify the most critical transfer paths requiring immediate attention and coordination.
### Response:
import igraph as ig

# Load the graph from a file
g = ig.Graph.Read_Ncol('network_data.ncol')

# Select edges with a 'weight' attribute greater than 50
filtered_edges = g.es.select(weight_gt=50)

# Print the selected edges
for edge in filtered_edges:
  print(edge.tuple, edge['weight'])
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