Menu
I'm translating a program from matlab to Python.
The matlab code uses the method permute:
B = PERMUTE(A,ORDER) rearranges the dimensions of A so that they % are in the order specified by the vector ORDER. The array produced % has the same values as A but the order of the subscripts needed to % access any particular element are rearranged as specified by ORDER. % For an N-D array A, numel(ORDER)>=ndims(A). All the elements of % ORDER must be unique. Is there an equivalent method in Python/NumPy ?
325
B = permute( A , dimorder ) rearranges the dimensions of an array in the order specified by the vector dimorder . For example, permute(A,[2 1]) switches the row and column dimensions of a matrix A . In general, the ith dimension of the output array is the dimension dimorder(i) from the input array.
To generate random Permutation in Python, then you can use the np random permutation. If the provided parameter is a multi-dimensional array, it is only shuffled along with its first index. If the parameter is an integer, randomly permute np.
P = perms( v ) returns a matrix containing all permutations of the elements of vector v in reverse lexicographic order. Each row of P contains a different permutation of the n elements in v . Matrix P has the same data type as v , and it has n! rows and n columns.
The permute () function rearranges the dimensions of the specified array in the order specified by the vector dimorder. Parameters: This function accepts two parameters, which are illustrated below:
MATLAB includes a function called permute (), which is a generalization of the transpose function but for ND arrays. Permute () takes in an ND-array and the desired array order and then returns the rearranged data. The syntax looks this: newArray = permute ( oldArray, [oldDim1, oldDim2, oldIm3, etc…] ).
Permutations in Python 1 We will use the recursive approach, this will make the list, start, curr and res 2 if start > length of list – 1, then add curr into the res, and return 3 for i in range start to length of given list – 1 swap the elements of list present at index start and (start + (i – start)) permutation (list, start ...
The output of permuting is always transposed of the output of permute and output of permuting is always transposed of the output of ipermute. Below is the syntax for Permute Matlab:
This is rolled into the transpose function in numpy.ndarray. The default behavior reverses the order, but you can supply a list of your own order.
76
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
