Numpy ndarray.dot() function | Python

numpy.correlate() function - Python

Last Updated : 11 Jun, 2020

numpy.correlate() function defines the cross-correlation of two 1-dimensional sequences. This function computes the correlation as generally defined in signal processing texts: c_{av}[k] = sum_n a[n+k] * conj(v[n])

Syntax : numpy.correlate(a, v, mode = 'valid') Parameters : a, v : [array_like] Input sequences. mode : [{‘valid’, ‘same’, ‘full’}, optional] Refer to the convolve docstring. Default is ‘valid’. Return : [ndarray] Discrete cross-correlation of a and v.

Code #1 :

Python3

# Python program explaining
# numpy.correlate() function
     
# importing numpy as geek 
import numpy as geek 
 
a = [2, 5, 7]
v = [0, 1, 0.5]
 
gfg = geek.correlate(a, v)
 
print (gfg)

Output :

[8.5]

Code #2 :

Python3

# Python program explaining
# numpy.correlate() function
     
# importing numpy as geek 
import numpy as geek 
 
a = [2, 5, 7]
v = [0, 1, 0.5]
 
gfg = geek.correlate(a, v, "same")
 
print (gfg)

Output :

[4.5 8.5 7. ]

Numpy ndarray.dot() function | Python

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