Numpy random permutation11/25/2023 # Pass the above given matrix as an argument to the random. Print("The given matrix is:\n", gvn_matx) # Print the above given matrix (multi-dimensional array) # number of rows and columns using the reshape() function # to get a list containing elements in given range and reshape it to given machinelearning python shuffle(x) can permute the elements in x randomly along the first axis. Print the above-given matrix after permuting randomly. permutation(x) actually returns a new variabl.Pass the above given matrix as an argument to the random.permutation() function to randomly permute the elements of the above matrix.Print the above-given matrix (multi-dimensional array).Pass the lower and upper limit range as arguments to the arange() function to get a list containing elements in the given range and reshape it to the given number of rows and columns using the reshape() function.NP.random.permutation: When used with a multi-dimensional array, the function just permutes the items along the first axis. Print("The above given list after permuting:", rslt) # Print the above given list after permuting # to randomly permute the elements of the above list # Pass the above given list as an argument to the random.permutation() function # to get a list containing elements in given range(0 to 7 here) # Pass the lower and upper limit range as arguments to the arange() function
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