Numpy 随机序列 shuffle & permutation

 

1. numpy.random.shuffle(x)

Modify a sequence in-place by shuffling its contents.

This function only shuffles the array along the first axis of a multi-dimensional array. The order of sub-arrays is changed but their contents remains the same.

Parameters:	
x : array_like. The array or list to be shuffled.

Returns: None

注意:

  • 无返回值,改变原有 array
  • 对于多维 array,只 shuffle 第一维

 

2. numpy.random.permutation(x) 

Randomly permute a sequence, or return a permuted range.

If x is a multi-dimensional array, it is only shuffled along its first index.

Parameters:	
x : int or array_like

If x is an integer, randomly permute np.arange(x). If x is an array, make a copy and shuffle the elements randomly.

Returns:	
out : ndarray

Permuted sequence or array range.

注意:

  • 跟 shuffle 的区别
    • 有返回值
    • 且不改变原来的 array,会生成一个新的 array
  • x 为整型时,先将 x 变成 array: np.arange(x),再打乱顺序

 

posted @ 2019-08-28 10:56  Hongkai_Ding  阅读(1128)  评论(0编辑  收藏  举报