Python | Numpy np.fftn () method

With the np.fftn() method we can get the ND- Fourier transform using np.fftn () .

Syntax: np.fftn (Array)
Return: Return a ND series of fourier transformation.

Example # 1:
In this example, we can see that using np.fftn () , we can get an ND series of Fourier transforms using this method.

# NumPy import

import numpy as np

 

a = np.array ([ - 1 , 3  , - 4 , 7 , 0 ] )

# using the np.fftn () method

gfg = np.fft.fftn (a)

  

print (gfg)

Output:

[5. + 0.j -2.5 + 3.61246823j -2.5-12.22497744j -2.5 + 12.22497744j
-2.5 -3.61246823j]

Example # 2:

# NumPy import

import numpy as np

 

a = np.array ([[ - 5.5 , 4.4 , - 6.6 , 3.3 , - 7.7 ], [ 1.1 , - 3.3 , 4.4 , - 7.7 , 0 ]])

# using the np.fftn () method

gfg = np.fft.fftn (a)

  

print (gfg)

Output:

[[-17.6 + 0.j -1.1 - 9.6624249j -1.1 -3.08018588j
-1.1 + 3.08018588j -1.1 + 9.6624249j]
[-6.6 + 0.j -6.6 -1.7149948j -6.6-29.97513624j
-6.6+ 29.97513624j -6.6 + 1.7149948j]]