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
note:
- No return value, change the original array
- For multi-dimensional array, the first dimension only shuffle
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.
note:
- With the difference shuffle
- Return value
- Does not change the original array, a new array will generate
- x is an integer, x becomes the first array: np.arange (x), then scrambled
