1c966bdf31764b9f51d376f19041d0ba7953b542,scipy/stats/_binned_statistic.py,,binned_statistic_dd,#Any#Any#Any#Any#Any#,171

Before Change

        result.fill(np.nan)
        flatcount = np.bincount(xy, None)
        flatsum = np.bincount(xy, values)
        a = np.arange(len(flatcount))
        result[a] = flatsum
        result[a] /= flatcount
    elif statistic == "count":
        result.fill(0)

After Change

        result.fill(0)
        flatcount = np.bincount(xy, None)
        flatsum = np.bincount(xy, values)
        flatsum2 = np.bincount(xy, values ** 2)
        a = (flatcount > 0)
        result[a] = np.sqrt(flatsum2[a] / flatcount[a]
                            - (flatsum[a] / flatcount[a]) ** 2)
    elif statistic == "count":
        result.fill(0)
        flatcount = np.bincount(xy, None)
        a = np.arange(len(flatcount))

Instances