28 нояб. 2013 г. · I have a matrix based solution for this, by post-multiplying a permutation matrix to the original one. This changes the position of the elements in original ... |
15 дек. 2014 г. · The simplest way of shuffling each column independently could be to loop over the columns and use np.random.shuffle to shuffle each one in place. |
23 дек. 2015 г. · I need is to change both the order of rows and columns (1st row to get swapped with 5th row, 1st column to get swapped with 5th column). |
29 июн. 2017 г. · I have two given ndarray s, where the matrix mapping contains information, of how row of the matrix mask should be permuted. |
9 сент. 2020 г. · There's an incredibly simple way of permuting the columns of a 2d array with numpy like this: array1 = np.array([[11, 22, 33, 44, 55], [66, 77, 88, 99, |
12 дек. 2013 г. · Let's say I have an array r of dimension (n, m) . I would like to shuffle the columns of that array. If I use numpy.random.shuffle(r) it shuffles the lines. |
27 мар. 2017 г. · Maybe a matter of taste, but I find the following a bit more readable: i, j = np.ogrid[:3, :4] A[pi[..., None], i, j]. Output: |
10 июн. 2019 г. · apply_along_axis is essentially just iterate over the 'other' axes. No speed promises. It makes iteration prettier for 3d and larger; does nothing for 2d. |
20 мар. 2020 г. · There is a way to randomly permute the columns of a matrix? I tried to use np.random.permutation but the obtained result is not what i need. |
26 февр. 2016 г. · You can use numpy.random.shuffle(). This function only shuffles the array along the first axis of a multi-dimensional array. |
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