文章摘要
这篇文章介绍了`np.random.shuffle()`函数，它用于对多维数组的子数组进行原地洗牌操作。该函数只会在多维数组的第一维进行洗牌，即改变子数组的顺序，但不改变子数组的内部内容。文章提供了1维和2维数组的示例，展示了洗牌后的结果。函数的参数为一个多维数组，返回值为`None`。
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
Examples
——–
>>> arr=np.arange(10)
>>> np.random.shuffle(arr)
>>> arr
[1 7 5 2 9 4 3 6 0 8]
Multi-dimensional arrays are only shuffled along the first axis:
>>> arr=np.arange(9).reshape((3, 3))
>>> np.random.shuffle(arr)
>>> arr
array([[3, 4, 5],
[6, 7, 8],
[0, 1, 2]])
“””
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
Examples
——–
>>> arr=np.arange(10)
>>> np.random.shuffle(arr)
>>> arr
[1 7 5 2 9 4 3 6 0 8]
Multi-dimensional arrays are only shuffled along the first axis:
>>> arr=np.arange(9).reshape((3, 3))
>>> np.random.shuffle(arr)
>>> arr
array([[3, 4, 5],
[6, 7, 8],
[0, 1, 2]])
“””
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