RandDist

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

install

pip install randdist

include

import randdist

generate

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

Methods

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

Parameters

• 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.

Outputs

Depending on sample_size:

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

Demo

• 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)

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)
    generated_list.append(sample_int)