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# Python | Numpy np.fft2() method

With the help of `np.fft2()` method, we can get the 2-D Fourier Transform by using `np.fft2()` method.

Syntax : `np.fft2(Array)`
Return : Return a 2-D series of fourier transformation.

Example #1 :
In this example we can see that by using `np.fft2()` method, we are able to get the 2-D series of fourier transformation by using this method.

 `# import numpy``import` `numpy as np`` ` `a ``=` `np.array([[``5``, ``4``, ``6``, ``3``, ``7``], [``-``1``, ``-``3``, ``-``4``, ``-``7``, ``0``]])``# using np.fft2() method``gfg ``=` `np.fft.fft2(a)`` ` `print``(gfg)`

Output :

[[10. + 0.j 8.09016994 + 2.17962758j -3.09016994 + 9.23305061j
-3.09016994 – 9.23305061j 8.09016994 – 2.17962758j]
[40. + 0.j -5.85410197 + 0.j 0.85410197 + 0.j
0.85410197 + 0.j -5.85410197 + 0.j]]

Example #2 :

 `# import numpy``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 np.fft2() method``gfg ``=` `np.fft.fft2(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]]