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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def circ_axial(alpha, n):
 """Transforms n-axial data to a common scale. Parameters alpha : array Sample of angles in radians n : int Number of modes Returns ------- alpha : float Transformed angles Notes ----- Tranform data with multiple modes (known as axial data) to a unimodal sample, for the purpose of certain analysis such as computation of a mean resultant vector (see Berens 2009). Examples -------- Transform degrees to unimodal radians in the Berens 2009 neuro dataset. """

    alpha = np.array(alpha)
    return np.remainder(alpha * n, 2 * np.pi)