numpy.random.shuffle#
- 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. - Note - New code should use the - shufflemethod of a- Generatorinstance instead; please see the Quick start.- Parameters:
- xndarray or MutableSequence
- The array, list or mutable sequence to be shuffled. 
 
- Returns:
- None
 
 - See also - random.Generator.shuffle
- which should be used for new code. 
 - Examples - >>> arr = np.arange(10) >>> np.random.shuffle(arr) >>> arr [1 7 5 2 9 4 3 6 0 8] # random - 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], # random [6, 7, 8], [0, 1, 2]])