How to use the xskillscore.spearman_r function in xskillscore
To help you get started, we’ve selected a few xskillscore examples, based on popular ways it is used in public projects.
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bradyrx / climpred / climpred / metrics.py View on Github 
| **maximum** | 1.0 |
+-----------------+-----------+
| **perfect** | 1.0 |
+-----------------+-----------+
| **orientation** | positive |
+-----------------+-----------+
See also:
* xskillscore.spearman_r
* xskillscore.spearman_r_p_value
* climpred.spearman_r_p_value
* climpred.spearman_r_eff_p_value
"""
weights = metric_kwargs.get('weights', None)
skipna = metric_kwargs.get('skipna', False)
return spearman_r(forecast, verif, dim=dim, weights=weights, skipna=skipna)
Popular xskillscore functions
- xskillscore.brier_score
- xskillscore.crps_ensemble
- xskillscore.crps_gaussian
- xskillscore.crps_quadrature
- xskillscore.effective_sample_size
- xskillscore.mae
- xskillscore.mape
- xskillscore.median_absolute_error
- xskillscore.mse
- xskillscore.pearson_r
- xskillscore.pearson_r_eff_p_value
- xskillscore.pearson_r_p_value
- xskillscore.rmse
- xskillscore.smape
- xskillscore.spearman_r
- xskillscore.spearman_r_eff_p_value
- xskillscore.spearman_r_p_value
- xskillscore.threshold_brier_score