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A random number generator with custom probability distribution function

Project description


python random generator with custom probability distribution

This minimal package generates a list of int or float numbers within a specific range and steps with custom probability distribution.


How to use


pip install randdist


import randdist


numbers_list = randdist.randint(0, 10, formula = lambda x:x**2)


  • randint: Generates integer numbers
  • randfloat: Generates float numbers


  • min_value: start
  • max_value: stop
  • step: bin step size default = 1
  • formula: lambda function for distribution curve default = lambda x:x
  • seeds: # of generated numbers default = 1000
  • sample_size: # of numbers to return default = 0
    • 0: return a list of generated numbers.
    • 1: return only one int or float number
    • 2 or more: returns a list with the specified amount of numbers. sample_size can't be more than seeds.


Depending on sample_size:

  • list: a list of shuffled generated numbers or
  • sample: an integer of a float number from the list


  • min_value = -3
  • max_value = 3
  • step = 0.5
  • formula = lambda x:12-(x**2)
  • seeds = 1000
# generate int numbers
random_list_int = randdist.randint(min_value, max_value, step, formula, seeds)

# generate float numbers
random_list_float = randdist.randfloat(min_value, max_value, step, formula, seeds)

myfile myfile myfile

Test Distribution

with 10K generated numbers

# pick samples from 10K generated list of numbers
generated_list = []
for i in range(10000):
    sample_int = randdist.randint(-3, 3, 0.5, lambda x:12-(x**2), sample_size = 1)


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