58756c9467c5bce5e47ad1af8d7b3e634fa437b6,plotnine/stats/stat_boxplot.py,stat_boxplot,compute_group,#Any#Any#Any#,71

Before Change

    @classmethod
    def compute_group(cls, data, scales, **params):
        try:
            weights = np.array(data["weight"])
        except KeyError:
            weights = np.ones(len(data["y"]))
        y = np.array(data["y"])
        res = weighted_boxplot_stats(y, weights=weights, whis=params["coef"])

After Change

    @classmethod
    def compute_group(cls, data, scales, **params):
        y = data["y"].to_numpy()
        weights = data.get("weight", None)
        total_weight = len(y) if weights is None else np.sum(weights)
        res = weighted_boxplot_stats(y, weights=weights, whis=params["coef"])

        if len(np.unique(data["x"])) > 1:

Instances