21d7042c38a23d4cfe6278ddd5fa1c247af4e376,ggplot/stats/stat_density.py,,compute_density,#Any#Any#Any#,60

Before Change

    try:
        y = kde.evaluate(x2)
    except ValueError:
        y = np.array([kde.evaluate(_x)[0] for _x in x2])

    return pd.DataFrame({"x": x2,
                         "density": y,

After Change

    // these values and corresponding x2s are dropped.
    // The kernel domain is defined by the values in x, but
    // the evaluated values in x2 could have a much wider range.
    not_nan = ~np.isnan(y)
    x2 = x2[not_nan]
    y = y[not_nan]

    // print(np.sum(np.isnan(y)))
    return pd.DataFrame({"x": x2,

Instances