jvm延遲偏向
Here, we will be simulating the occurrence coin face i.e. H - HEAD, T - TAIL. Simply we are going to use an inbuilt library called as random to call a random value from given set and thereby we can stimulate the occurrence value by storing the occurrence in the list ls of length 2 representing each face of the coin as ls[] represents the occurrence of:
在這里，我們將模擬出現的硬幣面，即H-HEAD，T-TAIL 。 簡單地講，我們將使用一個稱為random的內置庫從給定集合中調用隨機值，從而可以通過將出現的事件存儲在長度為2的列表ls中 (表示硬幣的每個面為ls []表示)來刺激出現值發生：
Here, we will be stimulating the occurrence of each dice face i.e. 1, 2, 3, 4, 4, 4, 5, 6, 6, 6, 6. Simply we are going to use an inbuilt library called as random to call a random value from given set and thereby we can stimulate the occurrence value by storing the occurrence in the list ls of length 6 representing each face of the dice as ls[4] represents the occurrence of face 5.
在這里，我們將刺激每個骰子面的出現，即1、2、3、4、4、4、5、6、6、6、6。簡單地說，我們將使用一個稱為random的內置庫來調用a給定集合中的隨機值，因此我們可以通過將出現次數存儲在代表骰子每個面的長度為6的列表ls中來刺激出現值，因為ls [4]代表面5的出現。
ls[0] - coin(H)ls[1] - coin(T)
Then using the library pylab, we can plot the value of each occurrence and can stimulate it.
然后，使用庫pylab ，我們可以繪制每個事件的值并進行刺激。
The deviation is clear that each of the faces i.e. heads and tails have an unequal probability of occurrence.
這種偏差很明顯，每個面(即頭和尾)的出現概率均不相等。
Program:
程序：
import random
import pylab as py
def flip():
return random.choice(['H','H','H','T','T','H','T'])
ls = [0,0]
chance = [104, 203, 302, 401, 505, 646, 756, 855, 985, 4565, 6565]
for n in chance:
for k in range(n):
scr = flip()
if scr == 'H':
ls[0] = ls[0] + 4/4
else:
ls[1] = ls[1] + 4/4
py.figure()
py.plot(['H','T'], ls, 'bo')
py.ylim(0,12300)
print("HEADS: ", ls[0])
print("TAILS: ", ls[1])
Output
輸出量
翻譯自: https://www.includehelp.com/python/program-for-biased-coin-flipping-simulation.aspx
jvm延遲偏向
