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Asked: 2026-06-11T19:21:14+00:00

I am using Python (SimPy package mostly, but it is irrelevant to the question

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I am using Python (SimPy package mostly, but it is irrelevant to the question I think), modeling some systems and running simulations. For this purpose I need to produce random numbers that follow distributions. I have done alright so far with some distributions like exponential and normal by importing the random (eg from random import *) and using the expovariate or normalvariate methods. However I cannot find any method in random that produce numbers that follow the Erlang distribution. So:

  1. Is there some method that I overlooked?
  2. Do I have to import some other library?
  3. Can I make some workaround? (In think that I can use the Exponential distribution to produce random “Erlang” numbers but I am not sure how. A piece of code might help me.

Thank you in advance!

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1 Answer

  1. Editorial Team

    Erlang distribution is a special case of the gamma distribution, which exists as numpy.random.gamma (reference). Just use an integer value for the k (“shape”) argument. See also about scipy.stats.gamma for functions with the PDF, CDF etc.

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