b48a0fbc622cedf746f04a4f223a1de5f1a8e4bb,plotnine/stats/stat_boxplot.py,stat_boxplot,compute_group,#Any#Any#Any#,72

Before Change

             "upper": res["q3"],
             "ymax": res["whishi"],
             "outliers": [res["fliers"]],
             "notchupper": res["med"]+1.58*res["iqr"]/np.sqrt(n),
             "notchlower": res["med"]-1.58*res["iqr"]/np.sqrt(n),
             "x": x,
             "width": width,

After Change

        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"])

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

Instances