scipy.stsci.convolve.cross_correlate

scipy.stsci.convolve.cross_correlate(data, kernel, mode=FULL)

>>> correlate(np.arange(8), [1, 2], mode=VALID)
array([ 2,  5,  8, 11, 14, 17, 20])
>>> correlate(np.arange(8), [1, 2], mode=SAME)
array([ 0,  2,  5,  8, 11, 14, 17, 20])
>>> correlate(np.arange(8), [1, 2], mode=FULL)
array([ 0,  2,  5,  8, 11, 14, 17, 20,  7])
>>> correlate(np.arange(8), [1, 2, 3], mode=VALID)
array([ 8, 14, 20, 26, 32, 38])
>>> correlate(np.arange(8), [1, 2, 3], mode=SAME)
array([ 3,  8, 14, 20, 26, 32, 38, 20])
>>> correlate(np.arange(8), [1, 2, 3], mode=FULL)
array([ 0,  3,  8, 14, 20, 26, 32, 38, 20,  7])
>>> correlate(np.arange(8), [1, 2, 3, 4, 5, 6], mode=VALID)
array([ 70,  91, 112])
>>> correlate(np.arange(8), [1, 2, 3, 4, 5, 6], mode=SAME)
array([ 17,  32,  50,  70,  91, 112,  85,  60])
>>> correlate(np.arange(8), [1, 2, 3, 4, 5, 6], mode=FULL)
array([  0,   6,  17,  32,  50,  70,  91, 112,  85,  60,  38,  20,   7])
>>> correlate(np.arange(8), 1+1j)
...
TypeError: array cannot be safely cast to required type