Pfthb

I want to shuffle 3D matrix's rows but it doesn't work in a matrix
here is some example code

def shuffle(data,data_size):
 for step in range(int(1*data_size)):
 selected = int(np.random.uniform(0,data_size))
 target = int(np.random.uniform(0,data_size)) 

 print(data)
 if selected!=target:
 data[selected], data[target] = data[target], data[selected] 

 print(selected," and ",target, " are changed")
 return data

data = [[[1,2,3,4],[1,2,3,5],[1,2,3,6]],
 [[2,2,3,4],[2,2,3,5],[2,2,3,6]],
 [[3,2,3,4],[3,2,3,5],[3,2,3,6]] ]

data = np.array(data)
data = shuffle(data,3)

in this code I want to shuffle data from some row list to another row list

but it's result doesn't work swaping but overwriting

here is result

[[[1 2 3 4]
 [1 2 3 5]
 [1 2 3 6]]

 [[2 2 3 4]
 [2 2 3 5]
 [2 2 3 6]]

 [[3 2 3 4]
 [3 2 3 5]
 [3 2 3 6]]]
2 and 1 are changed
[[[1 2 3 4]
 [1 2 3 5]
 [1 2 3 6]]

 [[2 2 3 4]
 [2 2 3 5]
 [2 2 3 6]]

 [[2 2 3 4]
 [2 2 3 5]
 [2 2 3 6]]]
1 and 0 are changed
[[[1 2 3 4]
 [1 2 3 5]
 [1 2 3 6]]

 [[1 2 3 4]
 [1 2 3 5]
 [1 2 3 6]]

 [[2 2 3 4]
 [2 2 3 5]
 [2 2 3 6]]]
0 and 2 are changed
[[[2 2 3 4]
 [2 2 3 5]
 [2 2 3 6]]

 [[1 2 3 4]
 [1 2 3 5]
 [1 2 3 6]]

 [[2 2 3 4]
 [2 2 3 5]
 [2 2 3 6]]]
2 and 1 are changed

how can i swap list in matrix?

thanks

import numpy as np

def shuffle(data,data_size):
 for step in range(int(1*data_size)):
 selected = int(np.random.uniform(0,data_size))
 target = int(np.random.uniform(0,data_size)) 

 print(data)
 if selected!=target:

 data[[selected, target]] = data[[target, selected]] 

 print(selected," and ",target, " are changed")
 return data

data = [[[1,2,3,4],[1,2,3,5],[1,2,3,6]],
 [[2,2,3,4],[2,2,3,5],[2,2,3,6]],
 [[3,2,3,4],[3,2,3,5],[3,2,3,6]] ]

data = np.array(data)
data = shuffle(data,3)

If you want to shuffle along the first axis, just use np.random.shuffle:

data = np.array([
 [[1,2,3,4],[1,2,3,5],[1,2,3,6]],
 [[2,2,3,4],[2,2,3,5],[2,2,3,6]],
 [[3,2,3,4],[3,2,3,5],[3,2,3,6]]
])

np.random.shuffle(data)
print(data)

Output:

[[[3 2 3 4]
 [3 2 3 5]
 [3 2 3 6]]

 [[1 2 3 4]
 [1 2 3 5]
 [1 2 3 6]]

 [[2 2 3 4]
 [2 2 3 5]
 [2 2 3 6]]]

If you want to shuffle along any other axis in data, you can shuffle the array view returned by np.swapaxes. For example, to shuffle the rows of the inner 2D matrices, do:

swap = np.swapaxes(data, 1, 0)
np.random.shuffle(swap)
print(data)

Output:

[[[1 2 3 6]
 [1 2 3 4]
 [1 2 3 5]]

 [[2 2 3 6]
 [2 2 3 4]
 [2 2 3 5]]

 [[3 2 3 6]
 [3 2 3 4]
 [3 2 3 5]]]