INNER CODE UNIT · Python

idx

firmai/deltapy · deltapy/extract.py:79

    idx = shift % len(a)
    return np.concatenate([a[-idx:], a[:-idx]])

def mean_second_derivative_central(x):

    diff = (_roll(x, 1) - 2 * np.array(x) + _roll(x, -1)) / 2.0
    return np.mean(diff[1:-1])

# mean_second_derivative_central(df["Close"])

#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++


#-> In Package
def variance_larger_than_standard_deviation(x):

    y = np.var(x)
    return y > np.sqrt(y)

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