Reputation: 595
I've got an array with data like this
a = [[1,2,3],[4,5,6],[7,8,9]]
and I want to change it to
b = [[1,1,2,2,3,3],[1,1,2,2,3,3],[4,4,5,5,6,6],[4,4,5,5,6,6],[7,7,8,8,9,9],[7,7,8,8,9,9]]
I've tried to use numpy.resize()
function but after resizing, it gives [[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4]]
. I can use a for loop to put the numbers at the indexes I need but just wondering if there is any easier way of doing that?
To visualise the task, here is the original array
This is what I want
Upvotes: 3
Views: 1347
Reputation: 52169
You can think of your problem as resizing each 1x1 block to a 2x2 block. This can simply be done using numpy.kron(a, b)
, which operates on each element of a
– each 1x1 block – and "expands" it according to b
– which should thus be a 2x2 block.
>>> import numpy as np
>>> a = np.array([[1,2,3],[4,5,6],[7,8,9]])
>>> np.kron(a, [[1, 1], [1, 1]])
array([[1, 1, 2, 2, 3, 3],
[1, 1, 2, 2, 3, 3],
[4, 4, 5, 5, 6, 6],
[4, 4, 5, 5, 6, 6],
[7, 7, 8, 8, 9, 9],
[7, 7, 8, 8, 9, 9]])
An efficient way to create the second operand for larger structures is using np.ones
and related functions.
>>> np.kron(a, np.ones((2,4), dtype=int))
array([[1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3],
[1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3],
[4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6],
[4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6],
[7, 7, 7, 7, 8, 8, 8, 8, 9, 9, 9, 9],
[7, 7, 7, 7, 8, 8, 8, 8, 9, 9, 9, 9]])
Upvotes: 1
Reputation: 651
My initial though was that np.tile
would work but in fact what you are looking for is np.repeat
twice on two different axes.
Try this runnable example!
#!/usr/bin/env python
import numpy as np
a = [[1,2,3],[4,5,6],[7,8,9]]
b = np.repeat(np.repeat(a, 2, axis=1), 2, axis=0)
b
<script src="https://modularizer.github.io/pyprez/pyprez.min.js"></script>
Upvotes: 5