def _normalize(arr, keep_ratio=False):
    (x_min, y_min), (x_max, y_max) = arr.min(axis=0), arr.max(axis=0)

    if keep_ratio:
        a = 1. / max(x_max - x_min, y_max - y_min)
        ax = ay = a
        bx = .5 - .5 * a * (x_max + x_min)
        by = .5 - .5 * a * (y_max + y_min)
    else:
        ax = 1. / (x_max - x_min)
        ay = 1. / (y_max - y_min)
        bx = -x_min / (x_max - x_min)
        by = -y_min / (y_max - y_min)

    arr_n = arr.copy()
    arr_n[:, 0] *= ax
    arr_n[:, 0] += bx
    arr_n[:, 1] *= ay
    arr_n[:, 1] += by

    return arr_n
Normalize an array into [0, 1].
dataset/ETHPy150Open kwikteam/phy/phy/io/array.py/_normalize