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# Python | Numpy np.fft() method

• Last Updated : 21 Nov, 2019

With the help of `np.fft()` method, we can get the 1-D Fourier Transform by using `np.fft()` method.

Syntax : `np.fft(Array)`
Return : Return a series of fourier transformation.

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

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

Output :

[25. + 0.j 1.11803399 + 1.08981379j -1.11803399 + 4.61652531j
-1.11803399 – 4.61652531j 1.11803399 – 1.08981379j]

Example #2 :

 `# import numpy``import` `numpy as np`` ` `a ``=` `np.array([``-``5.5``, ``4.4``, ``-``6.6``, ``3.3``, ``-``7.7``])``# using np.fft() method``gfg ``=` `np.fft.fft(a)`` ` `print``(gfg)`

Output :

[-12.1 + 0.j -3.85 – 5.68870985j -3.85 – 16.52766106j
-3.85 + 16.52766106j -3.85 + 5.68870985j]

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