Python | Numpy np.fft2() method
Last Updated :
21 Nov, 2019
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With the help of
Python3 1=1
Output :
Python3 1=1
Output :
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)
[[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)
[[-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]]