scipy.ifft() in Python
Last Updated :
29 Aug, 2020
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
import numpy as np
x = np.array(np.arange(10))
gfg_transformed = scipy.fft(x)
gfg_inversed = scipy.ifft(gfg_transformed)
print(gfg_inversed)
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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
import numpy as np
x = np.array(np.arange(5))
gfg_transformed = scipy.fft(x)
gfg_inversed = scipy.ifft(gfg_transformed)
print(gfg_inversed)
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Output :
[0.+0.j 1.+0.j 2.+0.j 3.+0.j 4.+0.j]
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