文章摘要
这篇文章介绍了NumPy中`shuffle`函数的使用及其作用。`shuffle`函数用于对输入数组（无论是1维还是多维）进行原地打乱顺序的操作。对于1维数组，它会完全重新排列元素；对于多维数组，它仅会在第一个维度上打乱顺序，而子数组的内容保持不变。文章还提供了两个示例，展示了`shuffle`函数在1维和多维数组中的实际效果。此外，文章详细说明了函数的参数和返回值。
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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