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Reorder by index numpy. The default is -1, which sorts along the last axis.


  • Reorder by index numpy. argsort() function returns the indices of the elements in an array that would sort the array in ascending order. g. This difference represents a great potential for confusion. This allows us to reorder the data based on these indices without changing the original array. axisint or None, optional Axis along which to sort. array ( [1, 3, 5, 7]) With these indices, I can filter some values from another array. Formally, if the array to be reordered is m x n, and the "index" array is 1 x n, the ordering would be determined by the array called "index". We can also specify how out-of-bounds indices will behave by passing the mode parameter that takes following values raise (raises an error), wrap and clip numpy. As an example, I can retrieve rows [ind1] = [1, 10, 20, 15] The order of rows [ind1] must not be changed in the following. Here the columns are rearranged with the given indexes. fd c2j6 79u4a f1cu olm0 61 1xz ia6fnlg vqyzi jf6o

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