visualize txs network

visualize_txs_network.py

import matplotlib.pyplot as plt
from matplotlib.pyplot import figure
figure(num=None, figsize=(20, 16), dpi=80, facecolor='w', edgecolor='k')

import networkx as nx
import math

pos = nx.spring_layout(G)

# Draw Nodes
# recived/ sent
receive_ratio = {n: (sum([e[2] for e in G.edges().data('weight') if e[1] == n]) / 
                     (sum([e[2] for e in G.edges().data('weight') if e[0] == n]) or 1))
                 for n in G}
max_ra = max([x[1] for x in receive_amount.items()]) + 1
values = [receive_amount[n]/2 
          if receive_amount[n] < 1 else 
          ((receive_amount[n]+1)/max_ra/Decimal(2)+Decimal(0.5))
          for n in G.nodes()]
nx.draw_networkx_nodes(G, pos, cmap=plt.get_cmap('cool'), node_color = values, node_size = 200, opacity=0.1)

# Draw Edges 
red_edges = [(e[0], e[1]) for e in G.edges.data('weight') if e[2] >= Decimal(400)]
edge_colours = ['black' if not edge in red_edges else 'red' for edge in G.edges()]
black_edges = [edge for edge in G.edges() if edge not in red_edges]
nx.draw_networkx_edges(G, pos, edgelist=red_edges, edge_color='r', arrows=True)
nx.draw_networkx_edges(G, pos, edgelist=black_edges, arrows=False)

plt.show()