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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 median_hilow(series, confidence_interval=0.95):
 """ Median and a selected pair of outer quantiles having equal tail areas """

    tail = (1 - confidence_interval) / 2
    return pd.DataFrame({'y': [np.median(series)],
                         'ymin': np.percentile(series, 100 * tail),
                         'ymax': np.percentile(series, 100 * (1 - tail))})