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I am creating a 2D DCT-II in labview but want to be able to check my outputs are correct. SciPy has a nice DCT function which defaults to DCT-II but is 1D. I want to make it work for a 2D array. To do this the DCT must be applied to the columns and then the DCT must be again applied to the rows of this outcome. I'm not sure what function I want to use to do this. I have tried np.rot90 which rotates the numpy array 90 degrees counter clockwise as follows: import numpy as np from scipy.fftpack import dct a = np.array([[1.0,2.0,3.0,4.0,5.0,6.0,7.0,8.0], [1.0,2.0,3.0,4.0,5.0,6.0,7.0,8.0], [1.0,2.0,3.0,4.0,5.0,6.0,7.0,8.0], [1.0,2.0,3.0,4.0,5.0,6.0,7.0,8.0], [1.0,2.0,3.0,4.0,5.0,6.0,7.0,8.0], [1.0,2.0,3.0,4.0,5.0,6.0,7.0,8.0], [1.0,2.0,3.0,4.0,5.0,6.0,7.0,8.0], [1.0,2.0,3.0,4.0,5.0,6.0,7.0,8.0]]) b = dct(np.rot90(dct(a),3)) However this outputs the following: array([[ 1152. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ], [ -412.30867345, 0. , 0. , 0. , 0. , 0. , 0. , 0. ], [ 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ], [ -43.10110726, 0. , 0. , 0. , 0. , 0. , 0. , 0. ], [ 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ], [ -12.85778584, 0. , 0. , 0. , 0. , 0. , 0. , 0. ], [ 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ], [ -3.24494866, 0. , 0.

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