CODEWITHSUNDEEP
pythonarraysnumpyfill
hpnk85
hpnk85

Reputation: 395

Python: How do I fill an array with a range of numbers?

So I have an array of 100 elements:

a = np.empty(100)

How do I fill it with a range of numbers? I want something like this:

b = a.fill(np.arange(1, 4, 0.25))

So I want it to keep filling a with that values of that range on and on until it reaches the size of it

Thanks

Upvotes: 5

Views: 42571

Answers (3)

michelek
michelek

Reputation: 2546

Such a simple feat can be achieved in plain python, too

>>> size = 100
>>> b = [v/4 for v in range(4,16)]
>>> a = (b * (size // len(b) + 1))[:size]
>>> a
[1.0, 1.25, 1.5, 1.75, 2.0, 2.25, 2.5, 2.75, 3.0, 3.25, 3.5, 3.75, 
 1.0, 1.25, 1.5, 1.75, 2.0, 2.25, 2.5, 2.75, 3.0, 3.25, 3.5, 3.75, 
 1.0, 1.25, 1.5, 1.75, 2.0, 2.25, 2.5, 2.75, 3.0, 3.25, 3.5, 3.75, 
 1.0, 1.25, 1.5, 1.75, 2.0, 2.25, 2.5, 2.75, 3.0, 3.25, 3.5, 3.75, 
 1.0, 1.25, 1.5, 1.75, 2.0, 2.25, 2.5, 2.75, 3.0, 3.25, 3.5, 3.75, 
 1.0, 1.25, 1.5, 1.75, 2.0, 2.25, 2.5, 2.75, 3.0, 3.25, 3.5, 3.75, 
 1.0, 1.25, 1.5, 1.75, 2.0, 2.25, 2.5, 2.75, 3.0, 3.25, 3.5, 3.75, 
 1.0, 1.25, 1.5, 1.75, 2.0, 2.25, 2.5, 2.75, 3.0, 3.25, 3.5, 3.75, 
 1.0, 1.25, 1.5, 1.75]

with these exact conditions it's about 3 times faster than numpy.

Upvotes: 2

Ravi Sankar Raju
Ravi Sankar Raju

Reputation: 2950

updating solution to fit description

a = np.empty(100)
filler = np.arange(1,4,0.25)
index = np.arange(a.size)
np.put(a,index,filler)

Upvotes: 4

unutbu
unutbu

Reputation: 879919

np.put places values from b into a at the target indices, ind. If v is shorter than ind, its values are repeated as necessary:

import numpy as np

a = np.empty(100)
b = np.arange(1, 4, 0.25)
ind = np.arange(len(a))
np.put(a, ind, b)
print(a)

yields

[ 1.    1.25  1.5   1.75  2.    2.25  2.5   2.75  3.    3.25  3.5   3.75
  1.    1.25  1.5   1.75  2.    2.25  2.5   2.75  3.    3.25  3.5   3.75
  1.    1.25  1.5   1.75  2.    2.25  2.5   2.75  3.    3.25  3.5   3.75
  1.    1.25  1.5   1.75  2.    2.25  2.5   2.75  3.    3.25  3.5   3.75
  1.    1.25  1.5   1.75  2.    2.25  2.5   2.75  3.    3.25  3.5   3.75
  1.    1.25  1.5   1.75  2.    2.25  2.5   2.75  3.    3.25  3.5   3.75
  1.    1.25  1.5   1.75  2.    2.25  2.5   2.75  3.    3.25  3.5   3.75
  1.    1.25  1.5   1.75  2.    2.25  2.5   2.75  3.    3.25  3.5   3.75
  1.    1.25  1.5   1.75]

Upvotes: 8

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