View difference between Paste ID: LvCU1gag and pyDB3wiN

 #!/usr/bin/env python
 
 """
 This script was made to understand probabilities behind SatoshiDice game
 http://satoshidice.com/
 
-ToDo: implement MoneyManagement
+ToDo: implement martingales ...
-see fix lot
+
-see martingale
+
 import numpy as np
 import pandas as pd
 import matplotlib.pylab as plt
 
 class SatoshiDiceGameTester:
     def __init__(self):
         print("="*5+" Satoshidice "+"="*5)
         toss_nb = 65536
         max_nb = 2**16-1 # 65535
-        toss_nb = 60000
+
         win_odds = float(less_than) / float(max_nb) * 100.0
         price_multiplier = 8
         house_percent = 1.9
         expected_rate_of_return	= 100.0 - house_percent
         min_bet = 0.01
         max_bet = 500
 
         print("""Playing {toss_nb} times to Satoshidice game less than {less_than}
     win_odds = {win_odds} %
     price_multiplier = {price_multiplier}
     house_percent = {house_percent} %
     expected_rate_of_return = {expected_rate_of_return} %
     min_bet = {min_bet}
     max_bet = {max_bet}""".format(
         toss_nb=toss_nb,
         less_than=less_than,
         win_odds=win_odds,
         price_multiplier=price_multiplier,
         house_percent=house_percent,
         expected_rate_of_return=expected_rate_of_return,
         min_bet=min_bet,
         max_bet=max_bet,
         ))
 
         toss = np.random.randint(0,max_nb,toss_nb)
         self.df = pd.DataFrame(toss, columns=['Toss'])
-        self.df = pd.DataFrame(np.random.randint(0,max_nb,toss_nb), columns=['Toss'])
+
         #self.df['TossResults'] = np.where(self.df['Toss']<less_than, 1, -1) # 1 = win -1=lose
 
         self.df['TossResultsCumsum'] = self.df['TossResults'].cumsum()
 
         # Fix size
         self.df['Size'] = 1
-        self.df['Size'] = 0.01
+
         self.df['BalanceVar'] = np.where(self.df['TossResults']>0, self.df['Size']*(price_multiplier-1), -self.df['Size']+0.005 * self.df['Size'])
-        self.df['BalanceVar'] = np.where(self.df['TossResults']>0, self.df['Size']*price_multiplier, -self.df['Size']+0.005 * self.df['Size'])
+
 
         #print(self.df.head())
-        print(self.df.head())
+        #print(self.df)
-        print(self.df)
+        #print(self.df.tail())
-        print(self.df.tail())
+
         exp_win = len(self.df[self.df['TossResults']>0])
         exp_loss = toss_nb - exp_win
         exp_win_pc = float(exp_win)/float(toss_nb)*100.0
-        exp_win_pc = float(exp_win)/float(toss_nb)*100
+        exp_loss_pc = float(exp_loss)/float(toss_nb)*100.0
-        exp_loss_pc = float(exp_loss)/float(toss_nb)*100
+        relative_difference = (exp_win_pc-win_odds)/win_odds*100.0
-        relative_difference = (exp_win_pc-win_odds)/win_odds*100
+        balance_final = self.df['Balance'].irow(toss_nb-1)
         house_pc_exp_final = -balance_final/self.df['Size'].sum()*100.0
         print("""Results:
     toss_nb={toss_nb}
     win={win}
     loss={loss}
     win={win_pc} %
     loss={loss_pc} %
     relative difference = {rel_diff} %
     min balance = {balance_min}
-    initial deposit = {balance_initial}""".format(
+
     initial deposit = {balance_initial}
     final balance = {balance_final}
     house_percent (final) = {house_pc} %""".format(
   toss_nb=toss_nb,
   win=exp_win,
   loss=exp_loss,
   win_pc=exp_win_pc,
   loss_pc=exp_loss_pc,
-  balance_initial = initial_balance
+
   balance_min = self.df['Balance'].min(),
   balance_max = self.df['Balance'].max(),
   balance_initial = initial_balance,
-        self.df.to_excel('out.xls')
+  balance_final = balance_final,
   house_pc=house_pc_exp_final,
-        fig = plt.figure()
+
 
-        fig.subplots_adjust(bottom=0.1)
+        #self.df.to_excel('out.xls') # only 65535 rows
-        #ax = fig.add_subplot(311)
+
-        #plt.title("Toss")
+
-        #self.df.plot(x=self.df.index, y='Toss', style='*')
+        #Only Uncomment plot for small tosses number
         #fig = plt.figure()
-        #ax = fig.add_subplot(312)
+        #fig.subplots_adjust(bottom=0.1)
-        #plt.title("Toss Results")
+
-        #self.df.plot(x=self.df.index, y='TossResults', style='*')
+        ##ax = fig.add_subplot(311)
         ##plt.title("Toss")
-        #ax = fig.add_subplot(313)
+        ##self.df.plot(x=self.df.index, y='Toss', style='*')
-        ax = fig.add_subplot(111)
+
-        #plt.title("Toss Results Cumsum")
+        ##ax = fig.add_subplot(312)
-        #self.df.plot(x=self.df.index, y='TossResultsCumsum')
+        ##plt.title("Toss Results")
-        plt.title("Balance")
+        ##self.df.plot(x=self.df.index, y='TossResults', style='*')
-        self.df.plot(x=self.df.index, y='Balance')
+
         ##ax = fig.add_subplot(313)
         #ax = fig.add_subplot(111)
         ##plt.title("Toss Results Cumsum")
         ##self.df.plot(x=self.df.index, y='TossResultsCumsum')
         #plt.title("Balance")
-        plt.show() # pause
+        #self.df.plot(x=self.df.index, y='Balance')
 
         #fileOut='out/fig/fig_{0}.png'.format(filename)
         #print("Generating {0}".format(fileOut))
         #plt.savefig(fileOut)
 
         #plt.show() # pause
 
 
 g = SatoshiDiceGameTester()