With the help of scipy.fft() method, we can compute the fast fourier transformation by passing simple 1-D numpy array and it will return the transformed array by using this method.

Fast Fourier Transformation
Syntax : scipy.fft(x)
Return : Return the transformed array.
Example #1 :
In this example we can see that by using scipy.fft() method, we are able to compute the fast fourier transformation by passing sequence of numbers and return the transformed array.
Python3
# import scipy and numpy import scipy import numpy as np x = np.array(np.arange( 10 )) # Using scipy.fft() method gfg = scipy.fft(x) print (gfg) |
Output :
[45. +0.j -5.+15.38841769j -5. +6.8819096j -5. +3.63271264j
-5. +1.62459848j -5. +0.j -5. -1.62459848j -5. -3.63271264j
-5. -6.8819096j -5.-15.38841769j]
Example #2 :
Python3
# import scipy and numpy import scipy import numpy as np x = np.array(np.arange( 5 )) # Using scipy.fft() method gfg = scipy.fft(x) print (gfg) |
Output :
[10. +0.j -2.5+3.4409548j -2.5+0.81229924j -2.5-0.81229924j
-2.5-3.4409548j ]
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