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Python | Numpy np.fft2() method
  • Last Updated : 21 Nov, 2019

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]]

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