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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 mean_se(series, mult=1):
 """ Calculate mean and standard errors on either side """

    m = np.mean(series)
    se = mult * np.sqrt(np.var(series) / len(series))
    return pd.DataFrame({'y': [m],
                         'ymin': m-se,
                         'ymax': m+se})