Custom Indicator Arnaud Legoux Moving Average (Vectorised or Nan-Vec): Help Needed

[Ender Kina]

Have anyone done an indicator on this that they would be willing to share? I'm interested in both Normal and Vectorised approaches.
(https://stackoverflow.com/questions/46990098/arnaud-legoux-moving-average-and-numpy)
I am not experienced in sub-classing/inheritance in Python
Any help would be highly appreciated. Thx in advance!

[Ender Kina]

Anybody has any custom indicator examples which includes numpy calculations? I would be appretiated if you share so i can figure out how to convert the code below.

def NPALMA(pnp_array, a) :

    length = a
    # just some number (6.0 is useful)
    sigma = 6
    # sensisitivity (close to 1) or smoothness (close to 0)
    offset = 0.85

    asize = length - 1
    m = offset * asize
    s = length  / sigma
    dss = 2 * s * s

    alma = np.zeros(pnp_array.shape)
    wtd_sum = np.zeros(pnp_array.shape)

    for l in range(len(pnp_array)):
        if l >= asize:
            for i in range(length):
                im = i - m
                wtd = np.exp( -(im * im) / dss)
                alma[l] += pnp_array[l - length + i] * wtd
                wtd_sum[l] += wtd
            alma[l] = alma[l] / wtd_sum[l]

    return alma