1ab4e7bfc2aa7472ec2ae5fc9c55c02ef218cc55,ggplot/stats/stat_density.py,stat_density,_calculate,#stat_density#Any#Any#,19

Before Change

        // i.e tail off to zero like ggplot2? But there is nothing
        // wrong with the current state.
        kde = gaussian_kde(x)
        bottom = np.min(x)
        top = np.max(x)
        step = (top - bottom) / 1000.0

        x = np.arange(bottom, top, step)
        y = kde.evaluate(x)
        new_data = pd.DataFrame({"x": x, "y": y})

After Change

            weight = np.ones(len(x))

        kde = gaussian_kde(x)
        x2 = np.linspace(range_x[0], range_x[1], 1000)
        y = kde.evaluate(x2)
        new_data = pd.DataFrame({"x": x2, "y": y})
        return new_data

Instances