With the help of scipy.fft.dctn() method, we can compute the multidimensional discrete cosine transform by selecting different types of sequences and return the transformed array by using this method.
Syntax :
scipy.fft.dctn(x, type=2)
Return value: It will return the transformed array.
Example #1: In this example, we can see that by using scipy.fft.dctn() method, we are able to get the multidimensional discrete cosine transform by selecting different types of sequences by default it’s 2.
Python3
# import scipy and numpy from scipy import fft import numpy as np array_gfg = np.random.randn(3, 3) # Using scipy.fft.dctn() method gfg = fft.dctn(array_gfg) print(gfg) |
Output :
[[ -4.16635907 -4.02741393 -3.60128725] [ -4.53247906 -3.48696887 0.9338914 ] [-10.02597376 -5.30097223 6.56879818]]
Example #2:
Python3
# import scipy and numpy from scipy import fft import numpy as np array_gfg = np.random.randn(5, 5) # Using scipy.fft.dctn() method gfg = fft.dctn(array_gfg, 1) print(gfg) |
Output :
[[-22.58866562 4.34759109 6.27133607 -10.09673997 1.42277882] [-10.38551445 -1.73284723 4.77719083 -8.1483736 2.31129559] [ 5.09865556 7.7860346 -1.99346709 -8.19680308 5.54398566] [ 11.03512166 -13.2738255 -6.30390925 5.55873569 -3.67046116] [ 11.70752959 -13.28207081 6.20179649 11.0564309 5.17738824]]
