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我正在寫蒙蒂大廳問題的模擬,我無法理解導致此錯誤的原因。如果你不熟悉蒙蒂大廳的問題,這是一個假設的遊戲節目,有三扇門,一扇門後有獎品,兩門沒有任何東西。選手挑選一扇門,然後主持人打開一個非贏的門,並讓參賽者可以選擇切換或保留原來的選秀權。原始選擇有三分之一的機會是正確的,切換策略有2/3的機會是正確的。python error:''TypeError:只有長度爲1的數組可以轉換爲Python標量''
我的第一個有函數採用這些隨機選擇的門2點的陣列,然後創建的第三陣列,其是門
import numpy as np
import pandas as pd
def reveal_and_switch(win_door,first_pick):
'''Create arrays for the door to be revealed by the host and the switch door'''
#Take in arrays for the winning door and the contestant's first pick
doors = [1,2,3]
switch_door = np.array([0]*len(win_door))
for i in range(len(switch_door)):
if first_pick[i] != win_door[i]:
switch_door[i] = win_door[i]
else:
del doors[np.searchsorted(doors,first_pick[i])]
switch_door[i] = np.random.choice(doors)
#print switch_door
return switch_door
def create_doors(iterations):
'''Create a DataFrame with columns representing the winning doors,
the picked doors and the doors picked if the player switches and the
accumulating probabilities'''
win_door = np.random.random_integers(1,3,iterations)
first_pick = np.random.random_integers(1,3,iterations)
switch_door = reveal_and_switch(win_door,first_pick)
#allocate memory for
denom = np.array([0]*len(win_door))
first_win = np.array([0]*len(win_door))
switch_win = np.array([0]*len(win_door))
switch_prob = np.array([0]*len(win_door))
stay_prob = np.array([0]*len(win_door))
for i in len(range(switch_door)):
denom[i] = i + 1
if switch_door[i] == win_door[i]:
switch_win[i] = 1
first_win[i] = 0
elif first_pick[i] == win_door[i]:
switch_win[i] = 0
first_win[i] = 1
switch_prob = np.cumsum(switch_win)/denom
stay_prob = np.cumsum(first_win)/denom
df = pd.DataFrame({'iterations': iterations,
'Stubborn Win': first_win,
'Switch Win': switch_win,
'stubborn probability': stay_prob,
'switch probability': switch_prob})
print df
return df
,當我打電話create_doors(10),I得到這樣的:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<stdin>", line 14, in create_doors
TypeError: only length-1 arrays can be converted to Python scalars
非常感謝!你搖滾! – panterasBox