CODEWITHSUNDEEP
python
M. Usaid
M. Usaid

Reputation: 70

How to simulate roll of a dice

How to simulate the roll of an UNFAIR 6-sided die. Instead of each side having an even chance of coming up (1/6 = 16.7%), the middle numbers should be favored. There should be a 20% chance of rolling a 2, 3, 4, or 5, and only a 10% chance of rolling a 1 or a 6. Thanks

Upvotes: 1

Views: 5154

Answers (4)

Sâmera Cristina Lauermann
Sâmera Cristina Lauermann

Reputation: 11

import numpy as np

die_roll = np.random.choice(np.arange(1, 7, 1), p = [0.1, 0.2, 0.2, 0.2, 0.2, 0.1])

Upvotes: 1

Taohidul Islam
Taohidul Islam

Reputation: 5414

You can do it lots of ways. This is one of the easier ones :

from random import choice
options = [1, 2, 2, 3, 3, 4, 4, 5, 5, 6]
result = choice(options)
print(result)

There are 10 values. The percentage of probability of getting 1 is (1/10)*100 = 10%, the percentage of the probability of getting 2 is (2/10)*100=20%......

Upvotes: 3

John Anderson
John Anderson

Reputation: 39082

Another possibility:

import random
result = random.choices([1, 2, 3, 4, 5, 6], weights=[10, 20, 20, 20, 20, 10])[0]

See the documentation.

Upvotes: 6

Jordan Singer
Jordan Singer

Reputation: 573

If you've got numpy installed, you could use numpy.random.choice to sample with a given probability distribution.

import numpy as np
values = [1, 2, 3, 4, 5, 6]
probs = [0.1, 0.2, 0.2, 0.2, 0.2, 0.1]
sample = np.random.choice(values, p=probs)

Upvotes: 3

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