I have a 2-d numpy array that I would like to shuffle. Is the best way to reshape it to 1-d, shuffle and reshape again to 2-d or is it possible to shuffle without reshaping?
I think this is very important to note.
You can use random.shuffle(a)
if a is 1-D numpy array.
If it is N-D (where N > 2) than
random.shuffle(a)
will spoil your data and return some random thing. As you can see here:
import random
import numpy as np
a=np.arange(9).reshape((3,3))
random.shuffle(a)
print a
[[0 1 2]
[3 4 5]
[3 4 5]]
This is a known bug (or feature?) of numpy.
So, use only numpy.random.shuffle(a) for numpy arrays.