scipy.rfft() in Python
Last Updated :
29 Aug, 2020
With the help of scipy.rfft() method, we can compute the fast fourier transformation for real sequence and return the transformed vector by using this method.
Syntax : scipy.fft.rfft(x)
Return : Return the transformed vector.
Example #1 :
In this example we can see that by using scipy.rfft() method, we are able to compute the fast fourier transformation for real sequence and return the transformed vector by using this method.
Python3
import scipy
import numpy as np
x = np.arange( 5 )
gfg = scipy.fft.rfft(x)
print (gfg)
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Output :
[10. +0.j -2.5+3.4409548j -2.5+0.81229924j]
Example #2 :
Python3
import scipy
import numpy as np
x = np.arange( 10 )
gfg = scipy.fft.rfft(x)
print (gfg)
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Output :
[45. +0.j -5.+15.38841769j -5. +6.8819096j -5. +3.63271264j
-5. +1.62459848j -5. +0.j ]
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