Key inference is: When x is an array, both (x) and (x) can permute the elements in x randomly along the first axis. #Inference: x1 is not changed and x_per has its rows randomly changed The shuffle() method makes changes to the original array,for example x = is the original array and the shuffle method will return the shuffled array(lets say shuffled array is ). Now , the original array itself got changed to the Shuffled array, and you are only left with the shuffled array. The permutation() method returns a re‑arranged array (and leaves the original array un‑changed),this method will keep the original array intact and will return a shuffled array, for example x = is the original array and the permutation method will return the rearranged array (lets say ).Now,you have two arrays, original array and the rearranged array. # Data is currently unshuffled we should shuffle 方法 np.random.permutation is useful when you need to shuffle ordered pairs, especially for classification: from np.random import permutation The source code might help to understand this: 3280 def permutation(self, object x):ģ307 if isinstance(x, (int, np.integer)): If x is an integer, randomly permute np.arange(x). If x is an array, make a copy and shuffle the elements randomly. if passed an integer, it will return a shuffled range i.e.if passed an array, it will return a shuffled copy of the array np.random.shuffle shuffles the array inplace.Np.random.permutation has two differences from np.random.shuffle:
If I want to generate random permutations of x, then what is the difference between shuffle(x) and permutation(x)? currently im facing a problem regarding the permutation of 2 numpy arrays of different row sizes, i know how to to utilize the np.random.shuffle function but i cannot seem to find a solution to my specific problem, the examples from the numpy documentation only refers to nd arrays with the same row sizes, e.g x.shape10784 y. To be more precise suppose I have an array x=. I have read the doc pages but I could not understand if there was any difference between the two when I just want to randomly shuffle the elements of an array. What is the difference between (x) and (x)? Shuffle vs permute numpy (shuffle vs permute numpy)
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