revising models

doc/Programs/Finance/agents.py

@@ -7,9 +7,9 @@ import random
 # initialize the rng with a seed
 random.seed()
 # Hard coding of input parameters
-Agents  = 100
+Agents  = 500
 MCcounts = 1000
-Transactions = 10000
+Transactions = 100000
 startMoney = 1.0
 Lambda = 0.0
 FinancialAgents = startMoney*np.ones(Agents)
@@ -19,17 +19,17 @@ for i in range (1, MCcounts, 1):
         agent_j = int(Agents*random.random())
         epsilon = random.random()
         if agent_i != agent_j:
-           m1 = Lambda*FinancialAgents[agent_i] + (1-Lambda)*epsilon*    (FinancialAgents[agent_i] + FinancialAgents[agent_j])
+           m1 = Lambda*FinancialAgents[agent_i] + (1-Lambda)*epsilon*(FinancialAgents[agent_i] + FinancialAgents[agent_j])
            m2 = Lambda*FinancialAgents[agent_j] + (1-Lambda)*(1-epsilon)*(FinancialAgents[agent_i] + FinancialAgents[agent_j])
            FinancialAgents[agent_i] = m1
            FinancialAgents[agent_j] = m2
 
 # the histogram of the data
-n, bins, patches = plt.hist(FinancialAgents, 20, facecolor='green')
+n, bins, patches = plt.hist(FinancialAgents, 50, facecolor='green')
 
 plt.xlabel('$x$')
 plt.ylabel('Distribution of wealth')
 plt.title(r'Money')
-plt.axis([0, 10, 0, 100])
+plt.axis([0, 10, 0, 500])
 plt.grid(True)
 plt.show()