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from numpy.random import choice
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Python Tutorial on weighted random Choice and Sample. Synthetically created The previous Python code returned the following: ['A', 'red', 'light', 'smells'].
If a is an int and less than zero, if a or p are not 1-dimensional, if a is an array-like of size 0, if p is not a vector of probabilities, if a and p have different lengths,
You want to pick an item at random from a list, just about as random.choice does, numbers, but it does not offer this specific functionality, so we must code it as a Module random in the standard Python library does not have the weighted
24 Oct 2012 From your code: .. weight_sample_indexes = lambda weights, k: random.sample([val for val, cnt in enumerate(weights) for i in range(cnt)], k).
9 Sep 2010 (If weights are floating point numbers, multiply them all by 10 repeatedly Random): "Show the code included in the Python 3.6 version of the
Source code: Lib/random.py Almost all module functions depend on the basic function random() , which generates a random float uniformly in the . If a weights sequence is specified, selections are made according to the relative weights.
29 Sep 2012 Weighted random choice makes you able to select a random value out of a code we have a function that implements the weighted random
29 May 2012 elements = ['one', 'two', 'three'] weights = [0.2, 0.3, 0.5] from numpy.random import choice print(choice(elements, p=weights))
22 Jan 2010 Update (02.09.2013): This article was written with Python 2.6 in The following is a simple function to implement weighted random selection in Python. of course, but still a useful one to keep in mind when programming.
21 Feb 2013 Your algorithm is correct, how about something more elegant: import random my_list = ['A'] * 5 + ['B'] * 5 + ['C'] * 90 random.choice(my_list)
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