Plot_window_differences.py 文件源码

def transform_depth(numpy_array):
    """
    Performs custom version of log transformation on a numpy array. Where each
    value is processed to be equal to:
    initial_sign * abs(log10(abs(value)))

    Parameters
    ----------
    numpy_array : numpy array
        Array of values without NaNs

    Returns
    -------
    numpy array
    """
    signs = np.sign(numpy_array)
    step1 = np.absolute(numpy_array)
    id_zeros = step1 != 0
    step2 = np.absolute(np.log10(step1, where=id_zeros))
    return signs * step2