# 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]]

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.

Article Tags :

1

Please write to us at contribute@geeksforgeeks.org to report any issue with the above content.