numpy random choice

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YOU.com answered on January 17, 2022 Popularity 9/10 Helpfulness 2/10

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numpy random choice

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import numpy as np

# Create a list of elements
elements = [1, 2, 3, 4, 5]

# Randomly select an element from the list using numpy
random_element = np.random.choice(elements)

print(random_element)

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Contributed on Sep 11 2023

YOU.com

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numpy random choice

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from numpy import random

# weight random choices
# 10% chance of 2
# 30% chance of 4
# 60% chance of 6
# 0% chance of 8
# return array of 5 items of random choice from a list
x = random.choice([2, 4, 6, 8], p=[0.1, 0.3, 0.6, 0.0], size=(5))
print(x)
# output [4 6 4 6 4]

# 10% chance of 3
# 30% chance of 5
# 60% chance of 7
# return 2d array 3 * 5 of random chocies
x = random.choice([3, 5, 7, 9], p=[0.1, 0.3, 0.6, 0.0], size=(3, 5))
print(x)
# output
# [[7 7 7 7 7]
#  [7 3 3 5 3]
#  [7 7 7 7 7]]

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Contributed on Sep 04 2022

Jerome Scott

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np.random.choice

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np.random.choice(5, 3)
array([0, 3, 4]) # random
>>> #This is equivalent to np.random.randint(0,5,3)

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Source: numpy.org

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Contributed on Jan 17 2022

Gifted Guanaco

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np random choice

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import numpy as np

# The list from which an element will be randomly chosen
my_list = [1, 2, 3, 4, 5]

# Randomly select one element from the list using np.random.choice
random_element = np.random.choice(my_list)

# Print the randomly selected element
print(random_element)

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Contributed on Sep 12 2023

YOU.com

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np.random.choice

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aa_milne_arr = ['pooh', 'rabbit', 'piglet', 'Christopher']
>>> np.random.choice(aa_milne_arr, 5, p=[0.5, 0.1, 0.1, 0.3])
array(['pooh', 'pooh', 'pooh', 'Christopher', 'piglet'], # random
      dtype='<U11')

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Source: numpy.org

Tags: python py

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Contributed on Jan 17 2022

Gifted Guanaco

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numpy generator choice

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numpy.random.Generator.choice
method

random.Generator.choice(a, size=None, replace=True, p=None, axis=0, shuffle=True)
Generates a random sample from a given array

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Source: numpy.org

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Contributed on Aug 17 2022

Juan Andres Russy Cervera

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