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Adjustable display transparancy of snapshots #1

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Adjustable display transparancy of snapshots #1

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Binary file added __pycache__/agent.cpython-36.pyc
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Binary file added __pycache__/simulation.cpython-36.pyc
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4 changes: 2 additions & 2 deletions main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,8 +9,8 @@ def main():
average_degree = 8 # Average degree of social network
num_episode = 2 # Number of total episode in a single simulation for taking ensemble average
network_type = "lattice" # topology of social network

simulation = Simulation(population, average_degree, network_type)
display_transparency = 0.7
simulation = Simulation(population, average_degree, network_type,display_transparency)

for episode in range(num_episode):
random.seed()
Expand Down
15 changes: 9 additions & 6 deletions simulation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@

class Simulation:

def __init__(self, population, average_degree, network_type):
def __init__(self, population, average_degree, network_type,display_transparency):
"""
network_type has several options, give following network type as string;
1. lattice
Expand All @@ -22,7 +22,7 @@ def __init__(self, population, average_degree, network_type):
self.network = None
self.agents = self.__generate_agents(population, average_degree)
self.initial_cooperators = self.__choose_initial_cooperators()

self.display_transparency = display_transparency
def __generate_agents(self, population, average_degree):
if self.network_type == "lattice":
self.network = self.__generate_lattice(population)
Expand Down Expand Up @@ -245,12 +245,15 @@ def color(i):
else:
pos = nx.spring_layout(self.network)

nx.draw_networkx_edges(self.network, pos)
nx.draw_networkx_nodes(self.network, pos, node_color = list(color.values()), node_size = 10)
nx.draw_networkx_edges(self.network, pos,alpha=self.display_transparency)
nx.draw_networkx_nodes(self.network, pos, node_color = list(color.values()), node_size = 10,alpha=self.display_transparency)
plt.title('t={}'.format(timestep), fontsize=20)
plt.xticks([])
plt.yticks([])
plt.savefig(f"snapshot_t={timestep}.png")
if self.display_transparency==1:
plt.savefig(f"snapshot_t={timestep}.png",transparent=False)
else:
plt.savefig(f"snapshot_t={timestep}.png",transparent=True)
plt.close()

def one_episode(self, episode):
Expand All @@ -264,5 +267,5 @@ def one_episode(self, episode):
fc_converged = self.__play_game(episode, Dg, Dr)
new_result = pd.DataFrame([[format(Dg, '.1f'), format(Dr, '.1f'), fc_converged]], columns = ['Dg', 'Dr', 'Fc'])
result = result.append(new_result)

self.__take_snapshot(1)
result.to_csv(f"phase_diagram{episode}.csv")