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I need to generate random numbers. An amount of numbers in the range of 10 5 and 10 6 random numbers.
The randint function of the Random library seems to me that it does not have a good degree of randomness when it generates so many repeated numbers. Someone knows a library with a better Random function to be used in mount simulation?
Is it possible to renew the seed of the randint function? In order to have a good degree of randomness on that scale?
Why does the randint function not appear to possess good degree of randomness? If you want more secure random numbers, you can use an encryption library like the
pycryptodome.– Pedro von Hertwig Batista
Because after generating many numbers the function starts generating numbers in sequence, and or ,the same number with a very high frequency degree
– Vitor Bento
Out of curiosity, how did you determine that the function generates numbers in sequence? Making a quick test, the distribution seems to me very reasonable.
– Pedro von Hertwig Batista
This might help, https://stackoverflow.com/q/22639587/3162303
– Miguel
Enter the code you are using that is easier to help. You are not using the same
seedto generate several of the numbers ?– Isac
Pedro von, that’s not what I did ,but in this way you will reach the same conclusion : create a vector of size x with values 0 . Vector [x] . Have the Random function select values between 0 and X. Go at the position of the vector equal to the value selected by the Random function and have it add a unit . Repeat this procedure in order of 10 6 . And you will see that some vector positions have much higher values than others . That is, this value was selected much more than the others . not being so in fact random ,to be the values had to be + or - equal .
– Vitor Bento
@Vitorbento also gives a very reasonable value. If you post the code that’s driving you to draw those conclusions, maybe we can figure out the problem.
– Pedro von Hertwig Batista