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I have a rather big program, where I use functions from the random module in different files. I would like to be able to set the random seed once, at one place, to make the program always return the same results. Can that even be achieved in python?
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Python Random seed() Method The random number generator needs a number to start with (a seed value), to be able to generate a random number. By default the random number generator uses the current system time. Use the seed() method to customize the start number of the random number generator.
random. seed(a, version) in python is used to initialize the pseudo-random number generator (PRNG). PRNG is algorithm that generates sequence of numbers approximating the properties of random numbers. These random numbers can be reproduced using the seed value.
NumPy random seed is for pseudo-random numbers in Python. So what exactly is NumPy random seed? NumPy random seed is simply a function that sets the random seed of the NumPy pseudo-random number generator. It provides an essential input that enables NumPy to generate pseudo-random numbers for random processes.
The main python module that is run should import random and call random.seed(n) - this is shared between all other imports of random as long as somewhere else doesn't reset the seed.
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zss's comment should be highlighted as an actual answer:
Another thing for people to be careful of: if you're using
numpy.random, then you need to usenumpy.random.seed()to set the seed. Usingrandom.seed()will not set the seed for random numbers generated fromnumpy.random. This confused me for a while. -zss
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