With the help of scipy.ifft() method, we can compute the inverse fast fourier transformation by passing simple 1-D numpy array and it will return the transformed array by using this method.
Inverse Fast Fourier Transformation
Syntax : scipy.ifft(y)
Return : Return the transformed array.
Example #1 :
In this example we can see that by using scipy.ifft() method, we are able to get the inverse fast fourier transformation and return the transformed array.
Python3
# import scipy and numpy import scipy import numpy as np x = np.array(np.arange(10)) gfg_transformed = scipy.fft(x) # Using scipy.ifft() method gfg_inversed = scipy.ifft(gfg_transformed) print(gfg_inversed) |
Output :
[0.-1.77635684e-16j 1.+0.00000000e+00j 2.+1.43710287e-16j
3.+0.00000000e+00j 4.-5.48924451e-17j 5.+0.00000000e+00j
6.-5.48924451e-17j 7.+0.00000000e+00j 8.+1.43710287e-16j
9.+0.00000000e+00j]
Example #2 :
Python3
# import scipy and numpy import scipy import numpy as np x = np.array(np.arange(5)) gfg_transformed = scipy.fft(x) # Using scipy.ifft() method gfg_inversed = scipy.ifft(gfg_transformed) print(gfg_inversed) |
Output :
[0.+0.j 1.+0.j 2.+0.j 3.+0.j 4.+0.j]
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