190065554d8905884dff948e4bb655d431d7eec3,ggplot/stats/stat.py,stat,_calculate_groups,#stat#Any#Any#,81

Before Change

        // fine and concat. This is really not expected to fail
        assert(all(
            stats["group"].as_matrix() == unique["group"].as_matrix()))
        if len(stats) == len(unique):
            stats = pd.concat([stats, unique.loc[:, missing]],
                              axis=1)
        elif len(unique) == 1:
            for col in unique:
                stats[col] = unique[col].iloc[0]
        else:
            raise GgplotError("Could not merge stats. Report bug")

        // Note: If the data coming in has columns with non-unique
        // values with-in group(s), this implementation loses the
        // columns. Individual stats may want to do some preparation
        // before then fall back on this implementation or override
        // it completely.
        return stats

    def __radd__(self, gg):
        // Create and add a layer to ggplot object

After Change

        stats = []
        for _, old in data.groupby("group"):
            new = self._calculate(old, scales)
            unique = uniquecols(old)
            missing = unique.columns - new.columns
            u = unique.loc[[0]*len(new), missing].reset_index(drop=True)
            df = pd.concat([new, u], axis=1)
            stats.append(df)

        stats = pd.concat(stats, axis=0, ignore_index=True)

Instances