python - Multiple Numpy random shuffles does not add up -

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I am trying to generate an array of neighbors, each neighbor is different from previous neighbors in the previous random shuffle, Either a line or column shuffle should be prepared only when a certain line or column is greater than K1, and if so, then a neighbor should be reversed by this row or column. Shuffle should be added, which means if the first row is rotated and then one column; Two neighbors should be built, with a resizing line and a line and a column.

However, it seems that the array is only two times, one for the column loop and one for the other loop, and the shuffle is not added.

In this example, column index 1 and 2 should be shuffled, and row index 3 and 4. Here is an example, showing the population generated. [[0 1 1] [0 0 0 0] [0 0] [0 1 1 0] [1 1 1 0]] [0 0 1 1] [0 0 0 0] [0 0 1 0] [0 1 0 0] [1 1 1]] [[0 1 1] [0 0 0 0] [0 0 1 0 1] [0 1 0 0] [1 1 0]] [[0 1 0] [0 0 1 0] [0 1 1 0 0]

Here is the code: 

  k = 2 tmp = np.array ([, 0, 0, 1, 1], [0], 0, 1, 0, 0 ], [1, 0, 0, 0], [0, 1, 1, 1, 0], [1, 1, 1, 0, 1]]) board = NP. CPP (TMP) column = NPSUM (Board, axis = 0) - column = lane (column) row = np. (Board, axis = 1) - lines = lane (line) neighbors = [] in the range (column): if the column [i] & gt; 0: np.random.shuffle (board [:, i]) neighbors Expansion (NP copy): In the range (rows): If the line [i] & gt; 0: np.random.shuffle (board [i,:]) .append (np.copy (board)) for neighbors in neighboring print tmp print column print line I: print i   
  
 
 
 Your code works  :)   < P> It is just that sometimes a row or column is rotated, but it remains in the same configuration. Compare to:  
  ar = np.array ([0, 1]) for _ category (10): print ar np.random.shuffle (ar)   
 Also, it is not impossible that the elements of a row or column have actually been altered, but you will end up with people in the same place and zero (because only limited limited permutations the number is).

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