  # Python | The numpy np.fft () method

NumPy | Python Methods and Functions

With the `np.fft() ` method we can get 1-D Fourier transform with ` np.fft () `.

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

Example # 1:
In this example, we can see that with ` np.fft () ` we can get a series of Fourier transforms using this method.

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

Exit:

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

Example # 2:

 ` # NumPy import ` ` import ` ` numpy as np ` ` `  ` a ` ` = ` ` np.array ([` ` - ` ` 5.5 ` `, ` ` 4.4 ` `, ` ` - ` ` 6.6 ` `, ` ` 3.3 ` `, ` ` - ` ` 7.7 ` `]) ` ` # using the np.fft () method ` < / p> ` 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]