14538c6714f45c0dbd6c95ff351c272c9cf85701,ggplot/stats/stat_abline.py,stat_abline,_calculate,#stat_abline#Any#,15

Before Change

                "Specified {} slopes but {} intercepts".format(n, _n))

        if n == 1:
            slope = [slope]
            intercept = [intercept]

        pinfo["slope"] = slope
        pinfo["intercept"] = intercept

        return pinfo

After Change

            raise Exception(
                "Specified {} slopes but {} intercepts".format(n, _n))

        slope = make_iterable(slope)
        intercept = make_iterable(intercept)
        new_data = pd.DataFrame({"slope": slope, "intercept": intercept})
        // Copy the other aesthetics into the new dataframe
        n = len(slope)
        for ae in data:
            new_data[ae] = make_iterable_ntimes(data[ae].iloc[0], n)
        return new_data

Instances