How to use the xskillscore.spearman_r_p_value function in xskillscore

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    See also:
        * xskillscore.spearman_r
        * xskillscore.spearman_r_p_value
        * climpred.spearman_r
        * climpred.spearman_r_eff_p_value
    """
    weights = metric_kwargs.get('weights', None)
    skipna = metric_kwargs.get('skipna', False)
    # p value returns a runtime error when working with NaNs, such as on a climate
    # model grid. We can avoid this annoying output by specifically suppressing
    # warning here.
    with warnings.catch_warnings():
        warnings.simplefilter('ignore')
        return spearman_r_p_value(
            forecast, verif, dim=dim, weights=weights, skipna=skipna
        )