CODEWITHSUNDEEP
pythonpython-3.xnumpy
PedsB
PedsB

Reputation: 311

Creating a numpy array of evenly sampled values from a list

Say I have a list of values, e.g.: [9, 17, 2]

What is the best way to create an n-dimensional numpy array (e.g.: [110 x 90 x 11] say) populated by the values in the list randomly, but evenly sampled?

Upvotes: 0

Views: 204

Answers (2)

user2314737
user2314737

Reputation: 29317

Use 

np.random.choice(arr, (9, 17, 2))

random.choice will by default pick a random sample from arr with uniform probability and with replacement (and with the given shape).

Upvotes: 1

Rifat Alptekin Çetin
Rifat Alptekin Çetin

Reputation: 1299

)you can select numbers randomly with random.randrange

import random
import numpy as np

l=[9, 17, 2]
arrayshape=[110,90,11]

#random.randrange(len(l)) generates random indexes
#l[random.randrange(len(l))] select random indexes from list
#for i in range(110*90*11) how many number we need
#np.array(...) make an array from list
#np.reshape(... ,arrayshape) reshaping array to our shape
array=np.reshape(np.array([l[random.randrange(len(l))] for i in range(110*90*11)]),arrayshape)

Upvotes: 0

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