# 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]]