utils.py 文件源码

def _scipy_univariate_kde(data, bw, gridsize, cut, clip):
    """Compute a univariate kernel density estimate using scipy."""
    kde = stats.gaussian_kde(data, bw_method=bw)
    if isinstance(bw, string_types):
        bw = "scotts" if bw == "scott" else bw
        bw = getattr(kde, "%s_factor" % bw)() * np.std(data)
    grid = _kde_support(data, bw, gridsize, cut, clip)
    y = kde(grid)
    return grid, y