[Numpy-discussion] Can this be done more efficiently using numpy?

[Vishal Rana]

Hi,

 A calculation which goes like this...

n = 5
a = np.arange(1000)
b = np.arange(n - 1, 1000)

l = []
for i in range(b.size):
    # Absolute difference of n a elements and nth b element
    x = np.abs(a[i:i + n] - b[i])

    # Average of x
    y = x.sum() / n

    l.append(y)

It takes a while if I have like 200K records!
Is there a more efficient way to do this using numpy?

Thanks
Vishal Rana

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