Pythonによる仮面ライダー轟音平均出玉シミュレーション値

そのままコピペしてpython動く環境で動かしてもらえばシミュレーション値は出るかも。

# -*- coding: utf-8 -*-
"""
Created on Wed Jun 24 18:19:03 2020

@author: HOST1191
"""
import random
import statistics 
import collections
import matplotlib.pyplot as plt
import seaborn as sns

#仮面ライダー轟音振り分け    
def furi():
    furir = random.randint(1,100)
    furideda =  0
    furiflg  =  0
    if  furir  >=  1  and  furir  <= 35:
        furideda +=  1400
        furiflg   =  0
    elif furir  >=  36  and  furir  <=  80:
        furideda  += 1400
        furiflg  +=  1
    elif  furir  >=  81  and  furir  <= 85:
        furideda  +=  280
        furiflg  =  0
    else:
        furideda  += 280
        furiflg  +=  1
    return  furideda,furiflg
    
#仮面ライダー轟音連荘の関数定義
def renchan(kakuhen1,flg):
    hatu = random.randint(1,100)
    if  hatu  >=  1  and  hatu  <=  99:        
        dedama = 420
    else:
        dedama  =  1400
    ren   = 1
    suru  = 0
    jitan = 0
    st    = 0
    while  suru  < 1:
        #転落抽選
        #確変
        if  kakuhen1  ==  0:
            tyusen1 = random.random()
            st  +=  1
            if tyusen1 <= (1/74.7):
                ren  +=  1
                furideda,flg = furi() 
                dedama  +=  furideda
                st  =  0
                jitan  =  0
            else:
                if  st  >  120:
                    if  flg   ==  0:
                        kakuhen1  +=  1
                        jitan  =  0
                    else:
                        suru  +=  1
        #時短の処理
        else:
            #引き戻し抽選
            tyusen2 = random.random()
            jitan  +=  1
            if  jitan  >=  124:
                suru  +=  1
            else:
                if  tyusen2  <=  (1/319.7):
                    ren  +=  1
                    furideda,flg =  furi()
                    dedama  +=  furideda
                    kakuhen1  =  0
                    jitan  =  0
                    st     =  0
#    print ("ren=",ren)          
    return  ren,dedama
"""ここからラッシュ評価"""
#連荘性能の評価
#ラッシュ突入回数
sikou  =  100000
#連荘回数
ren1 = []
#ラッシュの出玉数
dedama1 = []
for  sim  in  range(1,sikou+1):
#初当たりの振り分け処理
    furiwake1  =  random.randint(1,100)
    if  furiwake1 >= 1  and  furiwake1  <= 50:
        ren,dedama = renchan(1,1)
    elif  furiwake1  >= 51  and  furiwake1  <=  89:
        ren,dedama  =  renchan(0,1)
    elif  furiwake1  >=  90  and  furiwake1  <= 99:
        ren,dedama  = renchan(0,0)
    else:
        ren,dedama  =  renchan(0,0)
    dedama1.append(dedama)
    ren1.append(ren)
#連荘平均数
m1 = statistics.mean(ren1)
m2 = statistics.mean(dedama1)
#連荘と出玉の整理
ren1.sort() 
dedama1.sort() 
print ("連荘数＝",ren1)
#print ("出玉数＝",dedama1)
print('連荘平均: {0:.2f}'.format(m1))
print('出玉平均: {0:.1f}'.format(m2))

ren_bunpu = collections.Counter(ren1)
dedama_bunpu = collections.Counter(dedama1)
#print(ren_bunpu)
#出玉の円グラフ作表用定義
x1 = sum( x1 <=  1000 for x1 in dedama1)
x2 = sum(  1000 < x2 <=  5000 for x2 in dedama1) 
x3 = sum(  5000 < x3 <=  10000 for x3 in dedama1)
x4 = sum(  10000 < x4  for x4 in dedama1) 
Xgraph = ["{0:.1f}".format(x1/sikou*100),"{0:.1f}".format(x2/sikou*100),
          "{0:.1f}".format(x3/sikou*100),"{0:.1f}".format(x4/sikou*100)]
label = ["tan","ika","manti","manpatu"]
colors2 = ["0.3", "0.5", "0.7", "0.9", "1.1"]
plt.pie(Xgraph, labels=label, counterclock=False, startangle=90, colors=colors2,autopct="%1.1f%%")
plt.axis('equal')


d = list(ren_bunpu.keys())
e = list(ren_bunpu.values())
sns.set()
sns.set_style("darkgrid", {'grid.linestyle': '--'})
sns.set_context("paper", 1.0, {"lines.linewidth": 1})
sns.set_palette("winter_r", 2, 1)
sns.set('talk', 'darkgrid', 'dark', font_scale=1.0,
        rc={"lines.linewidth": 10, 'grid.linestyle': '--'})
fig, ax = plt.subplots(figsize = (10,5))
ax.set(xlabel ='ren', ylabel='occcurs', xlim=(0,80), ylim=(0,1000))
ax.bar(d,e)
plt.show()