def pdf(x, mean=0.0, stdev=1.0):
    u = float(x - mean) / abs(stdev)
    return (1 / (sqrt(2*pi) * abs(stdev))) * exp(-u*u / 2)
Returns the probability density function at x:
dataset/ETHPy150Open clips/pattern/pattern/metrics.py/pdf